Indonesia has many E-Commerce companies that are in great demand by the people in Indonesia. COVID-19 has led to an increase in people's transactions using E-Commerce. E- Commerce, which has not been able to capture market share in Indonesia, is competing to increase the number of transactions. E-Commerce that already has regular customers will continue to maintain the quality and quantity of its transactions. E-Commerce customers also have their own preferences in choosing the E-Commerce company that will be used for transactions. The many criteria that are taken into account by customers sometimes confuse customers to be able to choose the most appropriate E-Commerce that best suits customer desires. Decision support systems can be used to help customers make their choices. The method used is SWARA-ARAS. There are 8 criteria and 6 alternatives used in this DSS. The methodology in this study uses the CRISP-DM Framework. Based on the 6 alternatives tested using SWARA-ARAS, Lazada (X4) became the favorite e-commerce in Indonesia with a value of 0.9193 followed by Tokopedia with a value of 0.9155 and Shoopee with a value of 0.9045. JD.ID became the last position with a value of 0.8753.
E-commerce online review for detecting influencing factors users perceptionjournalBEEI
To date, online shopping using e-commerce services becomes a trend. The emergence of e-commerce truly helps people to shop more effectively and efficiently. However, there are still some problems encountered in e-commerce, especially from the user perspective. This research aims to explore user review data, particularly on factors that influence user perception of e-commerce applications, classify, and identify potential solutions to finding problems in e-commerce applications. Data is grabbed using web scraping techniques and classified using proper machine learning, i.e., support vector machine (SVM). Text associations and fishbone analysis are performed based on the classified user review data. The results of this study show that the user satisfaction problem can be captured. Furthermore, various services that should be provided as a potential solution to experienced customers' problems or application users' perception problems can be generated. A detailed discussion of these findings is available in this article.
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Banking system occupies an important place in Indian economy.
It provides various services to its customer. The nature of its services has evolved as the advancement of technology. It has become most challengeable to understand the customer satisfaction with quality of services. The present investigation was planned with the objective to analyse the customer choice towards the services provided by the bank. The research data was collected by the various bank customers for analysing the service quality from the ratings provided by the customer. In this regard, this research paper focuses with a purpose to report the findings of selected banking services which are used by the customers in India.
The Impact of Technology Based Self Service Banking Dimensions On Customer Sa...ijbiss
The technology based self service banking (TBSSB) refers to automated banking services that customer avail in self service mode using various electronic banking channels, without any interaction with bank employees. This paper investigates the relationship between key dimensions (factors) of TBSSB service quality and Customer Satisfaction. A structured questionnaire was formulated by identifying and adapting attributes on the basis of past studies on service quality of automated services and customer satisfaction.Data was collected from sample of bank customers in India. The collected data was divided into two subsamples of equal size. The TBSSB service quality and customer satisfaction dimensions were identified by conducting an exploratory factor analysis (EFA) on the half of the collected data using SPSS 16.0 software.Factor structure was confirmed by conducting confirmatory factor analysis (CFA) using AMOS 20.0 software on the remaining half of the collected data
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
A Study on Factors of E Banking Challenges in Indiaijtsrd
The customer uses the banking services through online banking, mobile phone banking and automated teller machine these were are called as 'E Banking. This study aimed to describe the customer view about the banking services through E banking. Customer service is also a part of the banking, this paper will tell about the customer satisfaction level about the e banking will explain through the pilot study. Dr. S. Saravanan | M. Dharani "A Study on Factors of E-Banking Challenges in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31147.pdf Paper Url :https://www.ijtsrd.com/management/accounting-and-finance/31147/a-study-on-factors-of-ebanking-challenges-in-india/dr-s-saravanan
E-commerce online review for detecting influencing factors users perceptionjournalBEEI
To date, online shopping using e-commerce services becomes a trend. The emergence of e-commerce truly helps people to shop more effectively and efficiently. However, there are still some problems encountered in e-commerce, especially from the user perspective. This research aims to explore user review data, particularly on factors that influence user perception of e-commerce applications, classify, and identify potential solutions to finding problems in e-commerce applications. Data is grabbed using web scraping techniques and classified using proper machine learning, i.e., support vector machine (SVM). Text associations and fishbone analysis are performed based on the classified user review data. The results of this study show that the user satisfaction problem can be captured. Furthermore, various services that should be provided as a potential solution to experienced customers' problems or application users' perception problems can be generated. A detailed discussion of these findings is available in this article.
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Banking system occupies an important place in Indian economy.
It provides various services to its customer. The nature of its services has evolved as the advancement of technology. It has become most challengeable to understand the customer satisfaction with quality of services. The present investigation was planned with the objective to analyse the customer choice towards the services provided by the bank. The research data was collected by the various bank customers for analysing the service quality from the ratings provided by the customer. In this regard, this research paper focuses with a purpose to report the findings of selected banking services which are used by the customers in India.
The Impact of Technology Based Self Service Banking Dimensions On Customer Sa...ijbiss
The technology based self service banking (TBSSB) refers to automated banking services that customer avail in self service mode using various electronic banking channels, without any interaction with bank employees. This paper investigates the relationship between key dimensions (factors) of TBSSB service quality and Customer Satisfaction. A structured questionnaire was formulated by identifying and adapting attributes on the basis of past studies on service quality of automated services and customer satisfaction.Data was collected from sample of bank customers in India. The collected data was divided into two subsamples of equal size. The TBSSB service quality and customer satisfaction dimensions were identified by conducting an exploratory factor analysis (EFA) on the half of the collected data using SPSS 16.0 software.Factor structure was confirmed by conducting confirmatory factor analysis (CFA) using AMOS 20.0 software on the remaining half of the collected data
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
A Study on Factors of E Banking Challenges in Indiaijtsrd
The customer uses the banking services through online banking, mobile phone banking and automated teller machine these were are called as 'E Banking. This study aimed to describe the customer view about the banking services through E banking. Customer service is also a part of the banking, this paper will tell about the customer satisfaction level about the e banking will explain through the pilot study. Dr. S. Saravanan | M. Dharani "A Study on Factors of E-Banking Challenges in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31147.pdf Paper Url :https://www.ijtsrd.com/management/accounting-and-finance/31147/a-study-on-factors-of-ebanking-challenges-in-india/dr-s-saravanan
A STUDY ON PERCEPTION OF INTERNET BANKING USERS SERVICE QUALITY - A STRUCTURA...IAEME Publication
The purpose of the study is to identify the perceptions of Internet banking (IB) users in Tamil Nadu using technology acceptance model (TAM) by incorporating service quality as external variable. The study found that both the TAM variables – perceived ease of use (PEOU) and perceived usefulness (PU). A total of 380 questionnaires were distributed for internet banking customers and 336 were returned (resulting 88.42 percentage of response rate). The results confirm that the all six dimensions (Website attribute, Reliability, Responsiveness, Fulfillment, Efficiency and Privacy) are distinct constructs. The results also indicate that internet banking service quality consisting of six dimensions has appropriate reliability and each dimension has a significant relationship with internet banking service quality. The efficiency of banking website is the important aspect of internet banking service quality. The finding found that the relationship between internet banking service quality, perceived ease of use and perceived usefulness are significant. This study proposes a model to understand the effect of internet banking service quality on perceived ease of use and perceived usefulness in developing country. The constructs truly reflect the dynamism of customers’ banking relationship and a better understanding the attitude on internet banking will help the bankers in implementing more effective marketing strategies.
The aim of this study is to analyze the quality of Internet banking services consisting of
Efficiency, System Availability, Fulfillment, Privacy, Responsiveness, Compensation and Contact with positive
and significant effects partially and simultaneously towards the Customer Satisfaction at Bank in Bandung. The
research method used is associative descriptive method with data collection techniques through questionnaires.
The results showed that the quality of Internet banking services consisting of Efficiency, System Availability,
Fulfillment, Privacy, Responsiveness, Compensation and Contact had a positive and significant effect on
customer satisfaction at Bank in Bandung
Personal customized recommendation system reflecting purchase criteria and pr...IJECEIAES
As the size of the e-commerce market grows, the consequences of it are appearing throughout society. The business environment of a company changes from a product center to a user center and introduces a recommendation system. However, the existing research has shown a limitation in deriving customized recommendation information to reflect the detailed information that users consider when purchasing a product. Therefore, the proposed system reflects the user‟s subjective purchasing criteria in the recommendation algorithm. And conduct sentiment analysis of product review data. Finally, the final sentiment score is weighted according to the purchase criteria priority, recommends the results to the user.
THE MEDIATING EFFECT OF ELECTRONIC TRUST IN THE EFFECT OF CUSTOMER DELIGHT TO...IAEME Publication
The major purpose of this paper was to examine the direct and indirect effect of
customer delight to customer electronic loyalty through customers’ trust. For this
major purpose, an empirical survey was conducted with the active participation of
242 respondents from three big cities, namely Jakarta, Bandung, and Surabaya cities
located in Java Island, Indonesia. On the basis of statistical analysis, the major
finding indicates that electronic trust (e-trust) has positive and significant mediating
effect in the relationship between customer delight and electronic loyalty (e-loyalty).
In contrast, the result indicates no significant direct effect of customer delight to eloyalty.
This study suggests that fashion industry firms must build customers’ loyalty
by building trust to the customers
An Analysis of Services Provided By the Banks through E-Banking in Rajasthan ...paperpublications3
Abstract: Today, banks seem to be jumping on the bandwagon of Internet banking. Why is there a sudden increase of bank interests in the Internet? The first major reason is because of the improved security and encryption methods developed on the Internet. The second reason is that banks did not want to lose a potential market share to banks that were quick to offer their services on the internet. Another trend in e-banking is a shift of focus of banks from being product-centric to customer-centric. Access to the Internet has put wealth management decisions and demand side technology in customers’ hands, and they can dictate the types of products and services they require, while the internet has enabled banks to deliver desired product/services more quickly.
A novel approach to dynamic profiling of E-customers considering click stream...IJECEIAES
In this paper, we present an approach for mining change in customer’s behavior for the purpose of maintaining robust profiling model over time. Most of previous studies leave important questions unanswered: In developing B2C e-commerce strategies, how do managers implicitly load customer’s profiles based on their satisfaction over the online store characteristics? And: What kind of feedback segments do they have? Our proposed approach does not force customers to explicitly express their preference information over the online service but rather capture their preference from their online activities. The challenge does not only lay in analyzing how customer’s classifier model change and when it does so but also to adapt it to the customer’s click stream data using a new decision tree generation algorithm which takes as inputs new set of variables; categorical, continuous and fuzzy variables. Customer’s online reviews rates are considered as classes. Experiments show that this work performed well in identifying relevant customer’s stream data to judge the chinese e-commerce website “Tmall”. The extracted values of the website’s features are also useful to identifying the satisfaction level when the customer’s rate is not available.
Conceptualizing a Model for Online Shopping Intension: A Literature ReviewIJLT EMAS
- Internet marketing and online shopping have opened
the gates not only for big, small and medium enterprises (SMEs),
it has created immense opportunities for startups of India, to
market their products (both goods and services) globally. But
though there is significant development of the internet
technologies, internet facilities and services, still the online sale is
not significant compared to the sale through retail. Hence, this
study is undertaken to find the factors that will improve online
sales. The literature available in the internet is reviewed to
understand and find the influencing factors for online shopping.
The findings are that there are two major categories of
influencing factors, namely motivating and restricting factors,
which affects the customers’ intension to use online shopping for
purchase. Based on these findings a model has been
conceptualized. In the proposed model, the construct variables
are motivating factors and restricting factors and the dependent
variable is intension to buy online.
Banking Sector plays a key role in investment, growth, and in the development of different industries around the world. Because accounting information systems (AIS) play a key role in determining the degree of success, and affect the competitive position of commercial banks in a world that characterized with globalization, these systems need more investigation.
Determinants Of Customer Participation In Online Shoppinginventionjournals
This research aims to examine and explain the determinants of customer participation in online shopping.The approach of Partial Least Square (PLS) with Smart PLS software is employed in this study to analyze cross section data and prove the hypotheses proposed in the research. The sample of the study includes students of Mulawarman University who used to do online shopping. The participants were recruited through snowball technique.This study shows that only five of the nine hypotheses are supported; the other four are not supported or accept Ha and reject H0. The construct of the ability of vendor has a positive effect on trust, but not significant. Furthermore, the ability has a significant negative effect on transaction-perceived risk. The ability to influence vendor participation in online shopping has no significant effect, while experience has a significant positive effect on trust. On the other hand, experience has a significant negative effect on transaction-perceived risk. Experience has a significant positive effect on online shopping participation. Trust has a significant negative effect on transaction-perceived risk; however, it has a positive influence on online shopping participation, yet not significant. Last, perceived-transaction risk has an insignificant positive effect on online shopping participation
How analytical hierarchy process prioritizing internet banking influencing fa...IJECEIAES
Internet banking is a method for conducting financial transactions online that makes use of the internet as a platform. Customers could transact at any time and from any location. Numerous aspects relating to the adoption of internet banking have been analyzed and studied in recent in-depth studies from the literature. This paper will merge these numerous predefined factors into a model by drawing on the various ideas related to the acceptance model. It was decided to adapt the analytical hierarchy process (AHP) method for finding the important numerous components for the model. The finest mathematical calculation method is AHP, which enables decision-makers to prioritize their ranking in order to satisfy various criteria. The goal of this research is to rank the elements that influence the use of online banking. Three main factors such as technical information, website and service availability were chosen as the main factors of the model based on the literature review. Sub-factors such as ease of use, responsiveness, privacy, reliability, security, communication and efficiency were also suggested and combined into a single integrated framework. Utilizing the systematic literature review (SLR) methodology, several factors were found. As a result, the article will enhance understanding of the unique elements supporting the adoption of internet banking.
A novel approach to optimizing customer profiles in relation to business metricsIAESIJAI
Business is very closely related to customers. Each user owns the data, and the data is used to identify cross-selling opportunities for each customer. For example, the type of product or service purchased, the frequency of purchases, geographic location, and so on. By doing so, you can gain the ability to manage and analyze customer data, allowing you to create new opportunities in industries that were previously difficult to enter. The purpose of optimizing user profiles is to determine minimum or maximum business value and improve efficiency by determining user needs. In this study, multivariate adaptive regression spline (MARS) is a statistical model used to explain the relationship between the response variable and the predictor variable. Robust is used to find variable relationships to make predictions. To improve classification performance, the model is validated using a confusion matrix. The results show an accuracy value of 84.5%, with better time management (period management) reflected in the number of hours spent by merchants as well as discounts during that time period, which has a significant impact on any business. In addition, the distance between customers and merchants is also important, as customers prefer merchants who are closer to them to save time and transportation costs.
A STUDY ON PERCEPTION OF INTERNET BANKING USERS SERVICE QUALITY - A STRUCTURA...IAEME Publication
The purpose of the study is to identify the perceptions of Internet banking (IB) users in Tamil Nadu using technology acceptance model (TAM) by incorporating service quality as external variable. The study found that both the TAM variables – perceived ease of use (PEOU) and perceived usefulness (PU). A total of 380 questionnaires were distributed for internet banking customers and 336 were returned (resulting 88.42 percentage of response rate). The results confirm that the all six dimensions (Website attribute, Reliability, Responsiveness, Fulfillment, Efficiency and Privacy) are distinct constructs. The results also indicate that internet banking service quality consisting of six dimensions has appropriate reliability and each dimension has a significant relationship with internet banking service quality. The efficiency of banking website is the important aspect of internet banking service quality. The finding found that the relationship between internet banking service quality, perceived ease of use and perceived usefulness are significant. This study proposes a model to understand the effect of internet banking service quality on perceived ease of use and perceived usefulness in developing country. The constructs truly reflect the dynamism of customers’ banking relationship and a better understanding the attitude on internet banking will help the bankers in implementing more effective marketing strategies.
The aim of this study is to analyze the quality of Internet banking services consisting of
Efficiency, System Availability, Fulfillment, Privacy, Responsiveness, Compensation and Contact with positive
and significant effects partially and simultaneously towards the Customer Satisfaction at Bank in Bandung. The
research method used is associative descriptive method with data collection techniques through questionnaires.
The results showed that the quality of Internet banking services consisting of Efficiency, System Availability,
Fulfillment, Privacy, Responsiveness, Compensation and Contact had a positive and significant effect on
customer satisfaction at Bank in Bandung
Personal customized recommendation system reflecting purchase criteria and pr...IJECEIAES
As the size of the e-commerce market grows, the consequences of it are appearing throughout society. The business environment of a company changes from a product center to a user center and introduces a recommendation system. However, the existing research has shown a limitation in deriving customized recommendation information to reflect the detailed information that users consider when purchasing a product. Therefore, the proposed system reflects the user‟s subjective purchasing criteria in the recommendation algorithm. And conduct sentiment analysis of product review data. Finally, the final sentiment score is weighted according to the purchase criteria priority, recommends the results to the user.
THE MEDIATING EFFECT OF ELECTRONIC TRUST IN THE EFFECT OF CUSTOMER DELIGHT TO...IAEME Publication
The major purpose of this paper was to examine the direct and indirect effect of
customer delight to customer electronic loyalty through customers’ trust. For this
major purpose, an empirical survey was conducted with the active participation of
242 respondents from three big cities, namely Jakarta, Bandung, and Surabaya cities
located in Java Island, Indonesia. On the basis of statistical analysis, the major
finding indicates that electronic trust (e-trust) has positive and significant mediating
effect in the relationship between customer delight and electronic loyalty (e-loyalty).
In contrast, the result indicates no significant direct effect of customer delight to eloyalty.
This study suggests that fashion industry firms must build customers’ loyalty
by building trust to the customers
An Analysis of Services Provided By the Banks through E-Banking in Rajasthan ...paperpublications3
Abstract: Today, banks seem to be jumping on the bandwagon of Internet banking. Why is there a sudden increase of bank interests in the Internet? The first major reason is because of the improved security and encryption methods developed on the Internet. The second reason is that banks did not want to lose a potential market share to banks that were quick to offer their services on the internet. Another trend in e-banking is a shift of focus of banks from being product-centric to customer-centric. Access to the Internet has put wealth management decisions and demand side technology in customers’ hands, and they can dictate the types of products and services they require, while the internet has enabled banks to deliver desired product/services more quickly.
A novel approach to dynamic profiling of E-customers considering click stream...IJECEIAES
In this paper, we present an approach for mining change in customer’s behavior for the purpose of maintaining robust profiling model over time. Most of previous studies leave important questions unanswered: In developing B2C e-commerce strategies, how do managers implicitly load customer’s profiles based on their satisfaction over the online store characteristics? And: What kind of feedback segments do they have? Our proposed approach does not force customers to explicitly express their preference information over the online service but rather capture their preference from their online activities. The challenge does not only lay in analyzing how customer’s classifier model change and when it does so but also to adapt it to the customer’s click stream data using a new decision tree generation algorithm which takes as inputs new set of variables; categorical, continuous and fuzzy variables. Customer’s online reviews rates are considered as classes. Experiments show that this work performed well in identifying relevant customer’s stream data to judge the chinese e-commerce website “Tmall”. The extracted values of the website’s features are also useful to identifying the satisfaction level when the customer’s rate is not available.
Conceptualizing a Model for Online Shopping Intension: A Literature ReviewIJLT EMAS
- Internet marketing and online shopping have opened
the gates not only for big, small and medium enterprises (SMEs),
it has created immense opportunities for startups of India, to
market their products (both goods and services) globally. But
though there is significant development of the internet
technologies, internet facilities and services, still the online sale is
not significant compared to the sale through retail. Hence, this
study is undertaken to find the factors that will improve online
sales. The literature available in the internet is reviewed to
understand and find the influencing factors for online shopping.
The findings are that there are two major categories of
influencing factors, namely motivating and restricting factors,
which affects the customers’ intension to use online shopping for
purchase. Based on these findings a model has been
conceptualized. In the proposed model, the construct variables
are motivating factors and restricting factors and the dependent
variable is intension to buy online.
Banking Sector plays a key role in investment, growth, and in the development of different industries around the world. Because accounting information systems (AIS) play a key role in determining the degree of success, and affect the competitive position of commercial banks in a world that characterized with globalization, these systems need more investigation.
Determinants Of Customer Participation In Online Shoppinginventionjournals
This research aims to examine and explain the determinants of customer participation in online shopping.The approach of Partial Least Square (PLS) with Smart PLS software is employed in this study to analyze cross section data and prove the hypotheses proposed in the research. The sample of the study includes students of Mulawarman University who used to do online shopping. The participants were recruited through snowball technique.This study shows that only five of the nine hypotheses are supported; the other four are not supported or accept Ha and reject H0. The construct of the ability of vendor has a positive effect on trust, but not significant. Furthermore, the ability has a significant negative effect on transaction-perceived risk. The ability to influence vendor participation in online shopping has no significant effect, while experience has a significant positive effect on trust. On the other hand, experience has a significant negative effect on transaction-perceived risk. Experience has a significant positive effect on online shopping participation. Trust has a significant negative effect on transaction-perceived risk; however, it has a positive influence on online shopping participation, yet not significant. Last, perceived-transaction risk has an insignificant positive effect on online shopping participation
How analytical hierarchy process prioritizing internet banking influencing fa...IJECEIAES
Internet banking is a method for conducting financial transactions online that makes use of the internet as a platform. Customers could transact at any time and from any location. Numerous aspects relating to the adoption of internet banking have been analyzed and studied in recent in-depth studies from the literature. This paper will merge these numerous predefined factors into a model by drawing on the various ideas related to the acceptance model. It was decided to adapt the analytical hierarchy process (AHP) method for finding the important numerous components for the model. The finest mathematical calculation method is AHP, which enables decision-makers to prioritize their ranking in order to satisfy various criteria. The goal of this research is to rank the elements that influence the use of online banking. Three main factors such as technical information, website and service availability were chosen as the main factors of the model based on the literature review. Sub-factors such as ease of use, responsiveness, privacy, reliability, security, communication and efficiency were also suggested and combined into a single integrated framework. Utilizing the systematic literature review (SLR) methodology, several factors were found. As a result, the article will enhance understanding of the unique elements supporting the adoption of internet banking.
A novel approach to optimizing customer profiles in relation to business metricsIAESIJAI
Business is very closely related to customers. Each user owns the data, and the data is used to identify cross-selling opportunities for each customer. For example, the type of product or service purchased, the frequency of purchases, geographic location, and so on. By doing so, you can gain the ability to manage and analyze customer data, allowing you to create new opportunities in industries that were previously difficult to enter. The purpose of optimizing user profiles is to determine minimum or maximum business value and improve efficiency by determining user needs. In this study, multivariate adaptive regression spline (MARS) is a statistical model used to explain the relationship between the response variable and the predictor variable. Robust is used to find variable relationships to make predictions. To improve classification performance, the model is validated using a confusion matrix. The results show an accuracy value of 84.5%, with better time management (period management) reflected in the number of hours spent by merchants as well as discounts during that time period, which has a significant impact on any business. In addition, the distance between customers and merchants is also important, as customers prefer merchants who are closer to them to save time and transportation costs.
A potential objective of every financial organization is to retain existing customers and attain new
prospective customers for long-term. The economic behaviour of customer and the nature of the
organization are controlled by a prescribed form called Know Your Customer (KYC) in manual banking.
Depositor customers in some sectors (business of Jewellery/Gold, Arms, Money exchanger etc) are with
high risk; whereas in some sectors (Transport Operators, Auto-delear, religious) are with medium risk;
and in remaining sectors (Retail, Corporate, Service, Farmer etc) belongs to low risk. Presently, credit risk
for counterparty can be broadly categorized under quantitative and qualitative factors. Although there are
many existing systems on customer retention as well as customer attrition systems in bank, these rigorous
methods suffers clear and defined approach to disburse loan in business sector. In the paper, we have used
records of business customers of a retail commercial bank in the city including rural and urban area of
(Tangail city) Bangladesh to analyse the major transactional determinants of customers and predicting of a
model for prospective sectors in retail bank. To achieve this, data mining approach is adopted for
analysing the challenging issues, where pruned decision tree classification technique has been used to
develop the model and finally tested its performance with Weka result. Moreover, this paper attempts to
build up a model to predict prospective business sectors in retail banking.
Analytical CRM - Ecommerce analysis of customer behavior to enhance sales Shrikant Samarth
Task: You are required to choose a dataset (or related datasets) in an area of interest suitable for analyzing customer relationships.
Approach: Topic is chosen – Customer behavior Analysis in Ecommerce Industry for Enhancing Sales. Brazilian E-commerce public dataset was downloaded, cleaned and performed multiple regression in SPSS to check the relationship between the dependent variable and multiple independent variables.
Findings: Customer can be retained if the product delivered in time and if there is a delay in the product delivery, it is a duty of a seller to inform the customer for the same. The payment method has proven to be an important parameter to enhance sales over a period of time. analysis suggests on-time delivery, flexibility in payment method and good customer service would help the seller to gain customer trust which would help them to convert more sales.
Tools: IBM SPSS , Excel (pivot tables and charts), Tableau
The Critical Factors that influencing Web-Based DSS Successin Online Shopping...IJRES Journal
This research aimed to examine the main factors that influence the success of Web-Based Decision Support Systems in online shopping context. It investigated a set of factors which are; online shopping system quality, data quality, knowledge management, consumer decision making satisfaction, and perceived net benefit. A questionnaire was distributed to a sample of (140) respondents to collect primary data, & based on a convenience sample the response rate was about 82%. Furthermore, the findings were analyzed using the Statistical Package for Social Software (SPSS), indicated that online shopping system quality, data quality, and knowledge management have a positive & significant influence on the consumer decision making satisfaction, and there is mutual effect between consumer decision making satisfaction, and perceived net benefit. In other words, all research variables have significant effect on success of web-based DSS in online shopping context.Based on the research findings & conclusions, a number ofrecommendations & future research suggestions are proposed.
Success in supply begins with the right choice of suppliers and in the long run is directly related to how suppliers are managed, because suppliers have a significant impact on the success or failure of a company. Multi-criteria decisions are approaches that deal with ranking and selecting one or more suppliers from a set of suppliers. Multi-criteria decisions provide an effective framework for comparing suppliers based on the evaluation of different criteria. The present research is applied based on the purpose and descriptive-survey based on the nature and method of the research. In the present study, two library and field methods have been used to collect information. According to the objectives of this study, suppliers will be evaluated using two methods of fuzzy hierarchical analysis with D-numbers. In order to better understand these two methods, a case study is presented in which suppliers are ranked using two methods and then the results are compared with each other. For manufacturing companies, 4 categories of parts were considered and based on the classification, the suppliers of the manufacturing company were evaluated and analyzed. In the results of suppliers of type A and B components in hierarchical analysis, D and fuzzy methods have many differences in the evaluation and ranking of suppliers, and this shows the lack of expectations of experts in D and fuzzy analysis. On the other hand, in type C and D components, the classification and ranking of suppliers have been matched in two ways and shows that the opinions in the evaluation of these suppliers are the same.
Inventory Decisions Sensitive To Demand And Lead Times In The Supply ChainaNumak & Company
Due to global competition, demand is no longer fully determined in any business area. The environment today is extremely dynamic. In such a situation, an estimation error anywhere in the supply chain is felt throughout the process. For this reason, forecasting has a very important place in supply chain management.
Decision Support System Using FUCOM-MARCOS for Airline Selection in IndonesiaGede Surya Mahendra
Abstract— Since deregulation in 1999, the development of the Indonesian aviation industry has continued to develop. However, many airlines still face various problems before and during flights. Problems in the plane, ranging from engine problems, technical problems, tire damage, cockpit problems to air pressure problems. Airlines customers have personal considerations and preferences when choosing an airline. The many choices and many considerations of airlines often confuse customers. To solve this problem, a decision support system (DSS) can be used to provide advice in selecting airlines based on customer preferences. This study uses the FUCOM-MARCOS method, using 8 criteria and 6 testing alternatives. When using FUCOM to calculate criterion weights, it appears that the factor price (C5) is the factor that counts most. Calculations using FUCOM-MARCOS show that Garuda Indonesia is the favorite airline in Indonesia with a preference value of 0.7390, followed by Citilink in second place, and Batik Air in third. Testing using consistency analysis shows that Garuda Indonesia remains stable and is the first choice by being ranked first 15 times out of 17 tests, with an average ranking distribution reaching 1.23466.
Intisari— Sejak deregulasi pada 1999, perkembangan industri penerbangan Indonesia semakin berkembang. Namun, banyak maskapai penerbangan yang masih menghadapi berbagai masalah sebelum dan selama penerbangan. Terdapat masalah di pesawat, mulai dari masalah mesin, masalah teknis, kerusakan ban, masalah kokpit hingga masalah tekanan udara. Pelanggan maskapai penerbangan memiliki pertimbangan dan preferensi pribadi saat memilih maskapai. Banyaknya pilihan dan banyaknya pertimbangan maskapai seringkali membingungkan pelanggan. Untuk mengatasi masalah tersebut, dapat digunakan sistem pendukung keputusan (SPK) untuk memberikan saran dalam memilih maskapai penerbangan berdasarkan preferensi pelanggan. Penelitian ini menggunakan metode FUCOM-MARCOS, menggunakan 8 kriteria dan 6 alternatif untuk dilakukan pengujian. Ketika menggunakan FUCOM untuk menghitung bobot kriteria, terlihat bahwa faktor harga (C5) adalah faktor yang paling diperhitungkan. Perhitungan menggunakan FUCOM- MARCOS menunjukkan bahwa Garuda Indonesia merupakan maskapai terfavorit di Indonesia dengan nilai preferensi 0,7390, disusul Citilink, sebagai peringkat kedua, dan Batik Air menduduki peringkat ketiga. Pengujian menggunakan analisis konsistensi menunjukkan bahwa Garuda Indonesia tetap stabil dan menjadi pilihan pertama, menduduki peringkat pertama sebanyak 15 kali dari 17 pengujian, dengan rata-rata sebaran peringkat mencapai 1.23466.
Penerapan Data Mining dengan Algoritma C4.5 dalam Pemesanan Obat Guna Meningk...Gede Surya Mahendra
Pharmacy is a very profitable business if managed properly. Pharmacy management must be able to manage drug orders and manage drug stocks effectively. Factors that need to be considered in ordering drugs are the number of items sold and data on patient drug requests that have not been fulfilled. The data sample used is sales data at pharmacies which are then grouped by type of drug class and analyzed using the C4.5 algorithm. The result of applying the C4.5 algorithm finds Category as the first root. The total number of existing categories is 27 units, then sorted by category of drug with the most, then only 10 categories are taken. Generic category drugs have the highest value for drugs that are sold well, While the Snack &Drink category has the highest value for drugs that are less sold. These results were then tested using a confusion matrix. The test results in 1949 True Positive, 102 False Negative, 527 False Positive, 2477 True Negative. The result accuracy rate is 87.56%, Precision 78.72%, Recall 95.03% and Error rate 12.44%. Future research can be compared using different methods.
Keywords: Data Mining, C4.5 Algorithm, Drug Ordering
Apotek merupakan usaha yang sangat menguntungkan jika dikelola dengan baik. Manajemen Apotek semestinya mampu mengatur pemesanan obat dan mengelola stok obat secara efektif. Faktor yang perlu dijadikan pertimbangan dalam pemesanan obat yaitu banyaknya jumlah barang yang terjual dan data permintaaan obat pasien yang selama belum bisa dipenuhi. Sampel data yang digunakan merupakan data penjualan di apotik yang kemudian dikelompokkan berdasarkan kelompok jenis obat dan dianalisa menggunakan algoritma C4.5. Hasil dari penerapan algoritma C4.5 ini menemukan Kategori sebagai akar yang pertama. Jumlah seluruh kategori yang ada berjumlah 27 buah, kemudian diurutkan berdasarkan kategori obat yang terbanyak, lalu diambil hanya 10 kategori. Kategori obat generic mempunyai nilai tertinggi untuk obat yang laku, sedangkan untuk kategori Sirup/drop dan kategori Snack & Drink memiliki nilai terginggi untuk yang kurang laku. Hasil ini kemudian diuji menggunakan confusion matrix. Pengujian mendapatkan hasil 1949 True Positive, 102 False Negative, 527 False Positive, 2477 True Negative. Tingkat akurasi hasil yaitu sebesar 87.56%, Presisi 78.72%, Recal 95.03% dan Error rate sebesar 12.44%. Penelitian kedepannya bisa dibandingkan dengan menggunakan metode yang berbeda.
Kata Kunci: Data Mining, Algoritma C4.5, Pemesanan Obat
Implementasi Pemilihan Maskapai Penerbangan Menggunakan FUCOM-MABAC Pada Sist...Gede Surya Mahendra
There are still many airlines that face various problems, although the development of the Indonesian aviation service industry continues to grow. The better the service quality standard of the selected airline, the greater the interest of prospective passengers to use its services. The many choices and considerations for choosing an airline often confuse customers, because each airline has its own strengths. To solve this problem, a decision support system (DSS) can be used in airline selection based on customer preferences. This study succeeded in implementing FUCOM-MABAC to determine the most popular airlines in Indonesia. The price criteria (K4) turned out to be the main concern of consumers when calculating with FUCOM. Calculations using FUCOM-MABAC show that Garuda Indonesia is the most popular airline in Indonesia with a preference value of 0.3188, followed by Citilink as the second most popular airline and Batik Air as the third. Tests using consistency analysis show that Garuda Indonesia occupies the top 11 out of 13 tests with an average rating distribution of 1.29905, remaining stable as the best choice.
Masih banyak maskapai yang menghadapi berbagai masalah, walaupun perkembangan industri jasa penerbangan Indonesia terus berkembang. Semakin baik standar kualitas pelayanan maskapai penerbangan yang dipilih, maka semakin besar minat calon penumpang untuk menggunakan layanannya. Banyaknya pilihan dan pertimbangan untuk memilih maskapai sering membingungkan pelanggan, karena setiap maskapai memiliki kekuatannya sendiri. Untuk mengatasi masalah ini, sistem pendukung keputusan (SPK) dapat digunakan dalam pemilihan maskapai berdasarkan preferensi pelanggan. Penelitian ini berhasil mengimplementasikan FUCOM-MABAC untuk menentukan maskapai penerbangan terpopuler di Indonesia. Kriteria harga (K4) ternyata menjadi concern utama bagi konsumen ketika perhitungan dengan FUCOM dilakukan. Perhitungan menggunakan FUCOM-MABAC menunjukkan bahwa Garuda Indonesia merupakan maskapai terpopuler di Indonesia dengan nilai preferensi 0,3188, disusul Citilink sebagai maskapai terpopuler kedua dan Batik Air sebagai ketiga. Pengujian menggunakan analisis konsistensi menunjukkan bahwa Garuda Indonesia menempati 11 besar dari 13 tes dengan distribusi peringkat rata-rata 1,29905, tetap stabil sebagai pilihan terbaik.
Pelatihan Peningkatan Pemahaman Penggunaan Facebook dan Instagram pada Kelomp...Gede Surya Mahendra
Vanilla (Vanilla planifolia) memiliki harga yang mahal karena proses bercocok tanam dan panen rumit, yang juga dihadapi oleh mitra PKM. Kelompok tani vanili Bali mulai bangkit dari keterpurukan yang hampir lebih dari 10 tahun produksi vanili di Bali diserang hama pembusukan batang. Tujuan dari kegiatan PKM ini adalah memberikan pelatihan untuk Mitra PKM terhadap pemanfaatan media sosial dalam penyebarluasan informasi tentang tanaman vanili. Tahapan kegiatan PKM meliputi tahap identifikasi, persiapan, pelaksanaan, monitoring dan evaluasi serta pelaporan dan publikasi. Kegiatan PKM dilaksanakan pada tanggal 27 Juni 2021 dan 5 Juli 2021 yang berfokus pada pelatihan penggunaan facebook dan instagram. Kegiatan PKM dihadiri 6 orang petani vanili. Berdasarkan pretest dan posttest yang dilakukan terjadi peningkatan pengetahuan dari nilai pretest yang sebelumnya berada pada 42,74%, pada posttest meningkat menjadi 75,24%. Kegiatan PKM telah berhasil dilaksanakan dan tercapai pada kondisi baik.
Vanilla (Vanilla planifolia) has a high price due to the complicated cultivation and harvesting process, which is also faced by PKM partners. The Balinese vanilla farmer group has started to recover from the slump that almost 10 years of vanilla production in Bali was attacked by stem rot pests. The purpose of this PKM activity is to provide training to PKM Partners on the use of social media in disseminating information about the vanilla plant. The stages of PKM activities include the stages of identification, preparation, implementation, monitoring and evaluation as well as reporting and publication. PKM activities will be held on 27 June 2021 and 5 July 2021 with a focus on training on the use of Facebook and Instagram. This PKM activity was attended by 6 vanilla farmers. Based on the pretest and posttest, there was an increase in knowledge from the previous pretest value of 42.74%, in the posttest it increased to 75.24%. PKM activities have been successfully implemented and achieved in good conditions.
SISTEM INFORMASI GEOGRAFIS PEMETAAN LOKASI PUSKESMAS MENGGUNAKAN GOOGLE MAPS...Gede Surya Mahendra
Pemerintah Kabupaten Badung melalui Dinas Kesehatan melaksanakan program pelayanan kesehatan secara menyeluruh kepada masyarakat. Fasilitas dan infrastruktur pelayanan kesehatan bagi masyarakat terus ditingkatkan guna memenuhi pelayanan kesehatan masyarakat yang optimal termasuk pengembangan pusat kesehatan masyarakat (puskemas). Puskesmas di wilayah Kabupaten Badung berjumlah 13 unit tersebar di berbagai wilayah, namun beberapa permasalahan yang dihadapi di mana masyarakat tidak sepenuhnya mengetahui lokasi puskesmas terdekat jika dalam keadaan darurat seperti kecelakaan. Solusi yang ditawarkan untuk mengatasi permasalahan yang dihadapi adalah dengan merancang dan membangun sistem informasi geografis pemetaan lokasi puskesmas menggunakan Google Maps API untuk informasi kordinat lokasi puskesmas menggunakan peta dari Google. Masyarakat diharapkan bisa mengetahui lokasi puskesmas terdekat dan bisa mendapatkan informasi mengenai alamat dan nomor telepon yang bisa dihubungi melalui sistem. Sistem informasi geografis (SIG) ini menggunakan model Waterfall dalam pengembangan sistem mulai dari analisa, perancangan, desain, pengkodean, implementasi dan pengujian sistem. Hasil dari perancangan dan implementasi sistem informasi geografis pemetaan lokasi puskesmas di Kabupaten Badung ini dapat mebantu masyarakat untuk mengetahui dan menemukan lokasi puskesmas terdekat sehingga bisa lebih cepat dalam membantu penanganan dalam kondisi darurat.
The Badung Regency Government through the Health Office implements a comprehensive health service program for the community. Health service facilities and infrastructure for the community are continuously improved to meet public health services including the development of community health centers (puskemas). The Puskesmas in the Badung district stated that there are 13 units scattered in various areas. Several problems have arisen where the community cannot see the location of the nearest puskesmas if there is an emergency such as an accident. The solution is offered to overcome the problems that arise by designing and building a geographic information system for the location map of the health center using the Google Maps API for coordinating information on the location of the health center using a map from Google. The community is expected to be able to see the location of the closest puskesmas and to be able to get information about addresses and telephone numbers that can be contacted through the system. This Geographical Information System uses the waterfall model in system development from analysis, design, design, coding, implementation and system testing. The results of the design and implementation of the geographic information system for the location of the Badung district health center can help the community to see and find the location of the nearest puskesmas so that they can more quickly assist in handling in an emergency situation.
SISTEM INFORMASI KEUANGAN PADA PERUSAHAAN KOST ELIT DENGAN METODE WATERFALLGede Surya Mahendra
PT. Grha Kusuma Residence merupakan perusahaan yang bergerak di bidang jasa kost elit. Saat ini, laporan keuangan cash entry detail tagihan dari tamu masih dalam bentuk kertas ringkasan termasuk tarif kamar. Mencermati situasi akuntansi saat ini, laporan keuangan perusahaan mengalami kesulitan dalam proses penyusunan laporan keuangan perusahaan yang biasanya tidak akurat. Dengan bantuan sistem informasi keuangan, administrator dapat memahami besarnya biaya yang harus dikeluarkan untuk menjamin kelangsungan operasional perusahaan. Jika Anda tidak menggunakan sistem informasi keuangan, Anda mungkin menderita kerugian pribadi dan ekonomi atau penipuan yang tidak terdeteksi. Tujuan dibangunnya sistem ini adalah untuk membantu administrator dalam menghasilkan laporan keuangan. Metode penelitian yang digunakan adalah metode waterfall. Metode pengujian yang digunakan adalah black box testing. Hasil dari penelitian ini dapat mengolah data pengguna, data akun, data transaksi pemasukan, data transaksi pengeluaran, dan menghasilkan laporan pendapatan, laporan pengeluaran, laporan jurnal umum, laporan buku besar, laporan laba rugi, dan laporan neraca.
Keywords: Sistem, Informasi, Keuangan, Transaksi, Waterfall
Studi Geologi Lingkungan Berbasis Kearifan Lokal Pada Objek Wisata Candi Tebi...Gede Surya Mahendra
The objectives of tourism development are to introduce, utilize, protect and improve the quality and attractiveness of tourism, maintain Balinese environmental protection norms, religious values, culture and natural life, prevent negative impacts caused by tourism activities, and improve the welfare of the community. The tourist attraction of the Candi Tebing Gunung Kawi is a sacred area located in the Banjar Penaka, Tampaksiring District, in Gianyar Regency. The results of preliminary observations on geological traces in both places show the unique formation, stratigraphy, and rock-forming minerals to be revealed either from the volcanic activity of Mount Batur and also influenced by tectonic activity that had taken place at that time. The results of this study indicate that the rock stratigraphy at the Candi Tebing Gunung Kawi tourist attraction belongs to the principle of lateral sustainability. The role of geotourism looks very significant in revealing the role of geology in tourism development, especially in the Pura Gunung Kawi. Local wisdom that is used is to prohibit tourists who are on their period from entering tourism sites, and conducting searches with the aim of cleaning the temple in a nocturnal manner which is carried out every piodalan, puja wali or caru manca kelud every 10 years.
Pemodelan data (data modeling/ data modelling) merupakan langkah awal dalam proses desain database, yang juga merupakan tahap paling tinggi dan abstrak, juga sering disebut dengan Conceptual Data Model (Watt, 2014). Tujuan dari fase ini adalah untuk dapat menjelaskan data-data yang terdapat dalam database (misalnya entitas : mahasiswa, guru, dosen, mata kuliah, mata pembelajaran), hubungan antar item (misalnya: mahasiswa diawasi dosen, dosen mengajar mata kuliah) serta batasan pada data (misalnya: NIM mahasiswa bernilai tepat 8 digit, mata kuliah memiliki nilai SKS sebanyak 2,3,4 dan 5). Pemodelan data dapat membantu untuk memahami dalam representasi visual data serta mematuhi aturan-aturan bisnis, kepatuhan terhadap peraturan, dan kebijakan yang diterapkan terhadap data terkait.
Model data adalah spesifikasi struktur data dan aturan bisnis yang mewakili kebutuhan bisnis(Sherman, 2015). Salah satu hal pertama yang dapat dilakukan saat mengembangkan aplikasi adalah berbicara dengan grup bisnis tentang kebutuhan sistem yang mereka inginkan, dan kemudian mendokumentasikannya. Selain kebutuhan sistem tersebut, akan ada sekumpulan data yang dibutuhkan untuk menjalankan aplikasi tersebut, baikberupa sistem pelaporan, analisis, maupun pemrosesan transaksi. Selain data yang diperlukan ini, juga akan terdapat beberapa aturan bisnis yang menentukan hubungan antara berbagai entitas data atau objek yang diperlukan.
Pandangan tradisional terhadap pemodelan data dimulai dari pemodelan data logis (Logical Data Modeling)(James V Luisi, 2014). Logical Data Modeling adalah bagian dari siklus hidup pengembangan sistem / Software Development Life Cycle (SDLC) untuk pengembangan aplikasi dan bertujuan untuk dapat meminimalisir redudansi data dengan proses perancangan database yang dikenal dengan istilah normalisasi. Tentunya terdapat perbedaan antara Logical Data Model dengan Logical Data Architecture (LDA) yang merupakan kondisi khusus dalam bisnis untuk mengatur seluruh data perusahaan, terlepas dari apakah LDA tersebut akan berpartisipasi dalam database untuk otomatisasi ataupun tidak.
KUOTA KEMENDIKBUD, INFRASTRUKTUR DAN PEMBELAJARAN ADAPTIF SEBAGAI SOLUSI PEND...Gede Surya Mahendra
Kondisi Pendidikan pada Era Pandemi di Indonesia
Berdasarkan data UNESCO per 2 Juni 2020, Indonesia telah menghentikan kegiatan pengajaran tatap muka akibat COVID-19 (UNESCO, 2021). Sebanyak 68.265.787 siswa di Indonesia dipengaruhi oleh kondisi belajar di rumah. Dibandingkan dengan total penduduk Indonesia yang berjumlah 270,2 juta, singkatnya seperempat penduduk Indonesia yang aktif menempuh pendidikan, tidak dapat mengadakan pertemuan tatap muka untuk mencari ilmu dari penyelenggara pendidikn (Santoso, 2021). Jumlah ini didominasi pada lingkup SD hingga SMA, dimana tingkat dasar dan menengah mencapai jumlah 54.319.318 peserta didik yang hampir mencapai 80% populasi peserta didik di Indonesia. Mahasiswa sebanyak 8.037.218 jiwa adalah pihak yang diharapkan paling siap melaksanakan kondisi pembelajaran daring.
Sejak teridentifikasi di bulan Maret 2020, jumlah penderita COVID-19 di Indonesia terus berkembang setiap harinya. Penyebaran COVID-19 berdampak besar tidak hanya pada kegiatan ekonomi dan sektor transportasi, tetapi juga pada sektor pendidikan (Putri, 2020). Untuk mencegah penyebaran COVID-19, Organisasi Kesehatan Dunia (World Health Organization/ WHO) merekomendasikan untuk menghentikan aktivitas yang dapat menyebabkan kepadatan.
PLATFORM VIDEO 360o SEBAGAI SOLUSI DOKUMENTASI PELESTARIAN CANDI (STUDI KASUS...Gede Surya Mahendra
Pendahuluan
Aspek penguasaan teknologi perlu banyak pembenahan, karena inilah faktor penentu daya saing di era Revolusi Industri 4.0. Dalam industri ini, semua proses produksi terutama didukung oleh Internet. Salah satu teknologi pada pengembangan Revolusi Industri 4.0 tersebut adalah pemanfaatan augmented virtual reality. Hal ini salah satunya dapat diimplementasikan dengan spherical video seperti platform video 360.
Video 360 merupakan video jenis baru yang memberikan kesempatan kepada pemirsa untuk menjelajahi video dalam tampilan 360 derajat menggunakan mouse atau smartphone. Penampil bahkan dapat memakai headset VR dan menonton ke segala arah, tidak hanya duduk diam dengan interaksi terbatas seperti pada video konvensional. Video tersebut dibuat dengan menggunakan kamera khusus, yang merekam dengan sudut pandang 360 derajat penuh.
Konservasi budaya dapat dilakukan dengan perekaman digital, salah satunya dengan media video. Video 360 yang memiliki kapasitas interaktif yang lebih baik dari video konvensional merupakan solusi mutakhir untuk konservasi budaya. Perekaman digital mengenai situs purbakala, merekam tiap detailnya, mendokumentasikan sebuah penjelajahan dan perjalanan objek wisata menjadikan platform video 360 menjadi opsi utama. Konservasi ini dapat dilakukan lebih baik apabila terkekam tidak saja dengan tulisan, namun juga dalam sebuah platform video interaktif, yaitu platform video 360.
Perancangan Sistem Pendukung Keputusan Dengan Metode Ahp-Vikor Dalam Penentua...Gede Surya Mahendra
BSTRACT
Indonesia is famous for its beautiful natural scenery, but there are still ecotourism issues related to developing its potential. There is a need to increase the capacity of the community to be able to develop a tourist village so that an increase in foreign exchange income. The results of the recommendations from the SPK can help stakeholders, and to solve the problem of determining the development of rural ecotourism by using a combination of AHP-VIKOR methods. AHP is a functional hierarchy with input from human perception, and the VIKOR method can select effective and efficient criteria for determining the outcome of decisions with many attributes and several criteria. This study uses 8 criteria, namely Biological, Physical Environment, Culture, Infrastructure, Institutional, Human Resources, Social Society, and Accessibility. The alternative data in this study are 9 data, namely Singapadu Tengah Village, Batubulan Village, Kerta Village, Taro Village, Mas Village, Kedisan Village, Kemenuh Village, Singapadu Kaler Village, and Kendran Village. The assessment of each tourism village data has been validated in previous studies. The results of this study indicate that Batubulan Village with a preference value of 0.96 is a tourism village that can be given assistance in developing rural ecotourism.
Keywords: DSS, AHP, VIKOR, Ecotourism, Rural.
Implementation of AHP-MAUT and AHP-Profile Matching Methods in OJT Student Pl...Gede Surya Mahendra
ABSTRACT
To improve the quality and quality of employment, OJT is very much needed by Monarch Bali students, but the process, which is still manual, makes decisions that are taken less fast, accurate, effective and efficient. In line with the roadmap of Monarch Bali, it is necessary to develop an automation system to be able to improve the performance of decision making for OJT student placement by making a DSS. The method used in this research is AHP-MAUT and AHP-PM. The decision makers in this study were 3 people, and out of a total of 500 OJT students, 8 OJT students for F&B class, 12 OJT students for Housekeeping class, 13 OJT students for Catering class, and 17 OJT students for Food Management class with a total of 50 OJT students. Implementation of AHP-MAUT, OJT students from the F&B class with the code StudentD04 have the highest preference value of 0.5724, and OJT students from the beverage class with the code StudentA02 have a preference value of 4.1155 calculated using AHP-PM, each being ranked first.
Keywords:
Analytical Hierarchy Process, Multi-Attribute Utility Theory, Profile Matching,
CRISP-DM,
On the Job Training
PENGADUAN ONLINE BERBASIS WEB (EC-RESOLVER) UNTUK MENUJU DESA DIGITALGede Surya Mahendra
ABSTRAK
Abstrak: Menyambut implementasi dari Industri 4.0 di Indonesia, melalui praktik e- government, berbagai sektor telah mengembangkan beragam inovasi untuk pelayanan publik, salah satunya pada sektor pelayanan pengaduan. Untuk meningkatkan kenyamanan masyarakat, penggunaan e-complaint harus digunakan dengan lebih baik, disosialisasikan lebih luas, diajarkan penggunaannya baik oleh perangkat desa sebagai pengelola sistem dan juga masyarakat sebagai pengguna untuk dapat menyampaikan informasi yang terjadi dengan lebih cepat dan selalu dapat digunakan 24 jam. Tujuan yang ingin dicapai adalah Desa Kukuh dapat memiliki sarana e-complaint dengan penggunaan yang luas, dapat digunakan secara efektif dan efesien, dan dapat meningkatkan kualitas pelayanan dengan mengusung e-government dengan baik. Metode pelaksanaan pengabdian ini berupa pemberian pelatihan penggunaan EC- Resolver. Hasil kegiatan pelatihan dan pengembangan EC-Resolver pada Desa Kukuh adalah implementasi EC-Resolver serta pengelolaan komplain dapat ditingkatkan yang semula manual menjadi digital dengan pendokumentasian komplain lebih baik dan efesien. Pelaksanaan pelatihan mencapai 79,6% dalam kategori baik. Dari pelatihan ini didapatkan peningkatan kemampuan mitra dalam penggunaan teknologi untuk pengelolaan e-complaint.
Kata Kunci: Pengaduan; Masyarakat; Desa; Website; Pelatihan.
Abstract: Welcoming the implementation of Industry 4.0 in Indonesia, through e- government practices, various sectors have developed various innovations for public services, one of which is the complaint service sector. To increase the convenience of the community, the use of e-complaint must be better used, more widely disseminated, taught its use both by village officials as system managers and also by the community as users to be able to convey information that occurs more quickly and always be used 24 hours. The goal to be achieved is that Kukuh Village can have e-complaint facilities with wide use, can be used effectively and efficiently, and can improve service quality by properly promoting e-government. The method of implementing this service is in the form of providing training in the use of the EC-Resolver. The result of the training and development of the EC-Resolver in Kukuh Village is that the implementation of the EC- Resolver and complaint management can be improved from being manual to digital by documenting complaints better and more efficiently. The implementation of training reached 79.6% in the good category. From this training, it was found that the partners' ability to use technology for e-complaint management was increased.
Keywords: Complaint; Community; Village; Website; Training.
Sosialisasi dan Pelatihan Internet Marketing Bagi UMKM Sokasi di Desa TigawasaGede Surya Mahendra
ABSTRAK
Desa Tigawasa merupakan pusat berbagai kerajinan anyaman bambu seperti kerajinan “Sokasi”. Dari sejumlah kerajinan tersebut, kerajinan “sokasi” merupakan ciri khas yang unik dan sekaligus menjadi kerajinan andalan di Desa Tigawasa. Keunikan pada kerajinan “sokasi” terletak pada corak dekoratif khas Bali dengan ciri ungkap khas Buleleng yang merupakan kepribadian seni kerajinan Tigawasa. Usaha Ibu Ni Ketut Sumiyani dimulai sejak tahun 2002 sampai dengan saat ini. Awalnya usaha kerajinan “Sokasi” ini dirintis Bersama keluarga dan dibantu oleh empat orang pekerja. Usaha yang dilakoni oleh Ibu Ni Ketut Sumiyani mengalami pasang surut dikarenakan banyaknya persaingan usaha kerajinan sejenis di Desa Tigawasa. Selain itu minimnya pengetahuan mitra tentang teknik produksi, teknik pemasaran, pengemasan dan variasi desain produk merupakan faktor yang menyebabkan terjadinya penurunan hasil produksi. Perekonomian keluarga Ibu Ni Ketut Sumiyani sangat bergantung dari hasil produksi usaha kerajinan “Sokasi” ini sebagai satu-satunya sumber pendapatan. Permasalahan yang saat ini dialami mitra yaitu teknik pemasaran yang masih secara tradisional yaitu dengan menitipkan produk kepada pengepul dan hanya mengerjakan produk sesuai pesanan, serta penyebaran informasi juga dilakukan secara konvensional yaitu menyebarkan informasi dari mulut ke mulut. Solusi yang ditawarkan untuk mitra pelatihan internet marketing seperti cara pembuatan akun bisnis, sosial media dan marketplace. Hasil atau luaran yang dicapai dalam kegiatan pengabdian masyarakat ini adalah meningkatnya kemampuan mitra dalam menggunakan teknologi untuk pemasaran.
Kata Kunci : Pelatihan, Internet, Markrting, Sakasi, Tigawasa.
EXPLORASI ALGORITMA C4.5 DAN FORWARD FEATURE SELECTION UNTUK MENENTUKAN DEBIT...Gede Surya Mahendra
Abstrak
Produk kredit Bank Umum yang sangat diminati oleh Badan Usaha atau Organisai dan masyarakat salah satunya yaitu Kredit Tanpa Angunan (KTA), hal ini dikarenakan sistem kredit tidak membutuhkan jaminan dari debitur. Tetapi dalam jangka waktu proses kredit KTA tidak menutup kemungkinan debitur melakukan keterlambatan dalam melakukan pembayaran angsuran (menunggak) yang dikarenakan mengalami kegagalam dalam bisnis, kehilangan pekerjaan, uang digunakan untuk memenuhi kebutuhan lain serta berbagi macam alasan lainnya. Pada Bank ABC setiap nasabah yang terlambat melakukan pembayaran dapat dikelompokan menjadi Non Performance Loan (NPL) atau yang sering disebut dengan kredit macet. Untuk mengatasi permasalahan tersebut diterapkan bidang Ilmu Komputer yaitu Data Mining untuk memprediksi kriteria debitur yang baik dan debitur bermasalah. Adapun metode atau algoritma Data Mining yang digunakan adalah kombinasi dari algoritma C4.5 dan Forward Feature Selection. Pengujian algoritma C4.5 dalam memprediksi menghasilkan tingkat accuracy sebesar 92.00%, recall sebesar 92.00% dan precission sebesar 92.00%. Forward Feature Selection berbasis algoritma C4.5 lebih akurat dan efektif dalam memprediksi debitur yang baik dan debitur bermasalah dengan hasil accuracy sebesar 93.60%, recall sebesar 93.60%, precission sebesar 93.60% dan memperoleh atribut yang berpengaruh yaitu jangka waktu, maksimum kredit dan pekerjaan.
Kata kunci: Data Mining, Algoritma C4.5, Forward Feature Selection
Abstract
Commercial bank credit products that are in great demand by Business Entities or Organizations and the public, one of which is Unsecured Credit (KTA), this is because the credit system does not require collateral from the debtor. But in the term of the KTA credit process does not rule out the possibility of debtors making payments in arrears (delinquent) due to experience failure in business, lost work, money used to meet other needs and share various other reasons. At ABC Bank, every customer who is late in making a payment can be classified as Non Performance Loan (NPL) or what is often referred to as bad credit. To overcome these problems applied the field of Computer Science namely Data Mining to predict criteria for good debtors and problematic debtors. The Data Mining method or algorithm used is a combination of C4.5 algorithm and Forward Feature Selection. Testing the C4.5 algorithm in predicting produces an accuracy rate of 92.00%, recall of 92.00% and precission of 92.00%. Forward Feature Selection based on C4.5 algorithm is more accurate and effective in predicting good debtors and problem debtors with an accuracy of 93.60%, recall of 93.60%, precission of 93.60% and obtaining the influential attributes namely, time period, maximum credit and work.
Keywords : Data Mining, C4.5 Algorithm, Forward Feature Selection
Persaingan industri perbankan saat ini semakin meningkat, baik dalam hal penyediaan inovasi produk serta peningkatan kualitas transaksi dan pelayanan. Untuk mengatasi masalah tersebut diciptakan sebuah terminal yang dikenal dengan ATM. Namun fungsionalitas dan efektifitas ATM tersebut belum memenuhi kebutuhan nasabah dikarenakan pengambilan keputusan penentuan lokasi ATM belum menggunakan SPK sehingga banyak kriteria yang terlupakan dalam penentuan lokasi A TM terbaik. Metode AHP yang merupakan sebuah hierarki fungsional dengan input utamanya adalah persepsi manusia sedangkan metode SAW dengan konsep dasar mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif pada semua atribut. AHP digunakan untuk memberikan pembobotan pada masing-masing kriteria dan SAW untuk melakukan perangkingan dari masing-masing alternatif. Terdapat 7 kriteria dengan 11 sub kriteria pada pembobotan dan 76 data alternatif. Pengujian dilakukan dengan membandingkan hasil delpoyment ATM dengan hasil perhitungan sistem. Dari 76 data alternatif yang diujikan, terdapat 38 lokasi deployment ATM. Dari hasil pengujian yang ditampilkan dalam confusion matrix, pada kriteria yang tidak teruji signifikansi didapatkan 33 data True Positive, 38 True Negative, 5 False Negative dan 5 False Positive dengan akurasi sebesar 86,84%, dan pada kriteria yang teruji signifikansi didapatkan 35 data True Positive, 35 True Negative, 3 False Negative dan 3 False Positive memiliki akurasi 92,11%.
Kata Kunci : AHP, ATM, SAW, SPK
RANCANG BANGUN SISTEM INFORMASI NILAI AKADEMIK BERBASIS SMS GATEWAY PADA UNIV...Gede Surya Mahendra
Universitas Dhyana Pura Bali saat ini telah memiliki sistem yang digunakan untuk untuk mendukung proses akademik mahasiswa. Proses akademik yang dilakukan pada sistem akademik meliputi pengolahan data mahasiswa,informasi nilai akademik, pencetakan kartu rencana studi dan kartu hasil akademik mahasiswa yang dapat diakses melalui media online internet. Informasi mengenai nilai akademik adalah informasi yang paling banyak dicari oleh mahasiswa untuk mengetahui report hasil belajar selama semester yang berjalan,namun ada kendala yang dihadapi adalah tidak semua mahasiswa memiliki akses internet untuk mengakses sistem disamping ada keterbatasan jarak tempat tinggal mahasiswa untuk menggunakan fasilitas internet gratis darikampus sehingga untuk mendapatkan informasi harus datang ke kampus langsung. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi nilai akademik berbasis SMS Gateway yang diharapkan dapat memberikan kemudahan bagi mahasiswa untuk mendapatkan informasi nilai akademik melalui layanan SMS. Layanan SMS Gateway dapat digunakan oleh mahasiswa secara realtime kapan dan di mana saja dengan mengirim SMS dengan format yang sudah ditentukan ke sistem,selanjutnya sistem akan membalas kembali dengan informasi nilai sesuai informasi yang diperlukan. Layanan SMS Gateway ini diharapkan dapat membantu mahasiswa dalam memperoleh informasi nilai secara efisien dalam hal waktu dan biaya.
Keywords: Sistem Informasi, Sistem Informasi Akademik, SMS Gateway
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Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
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Determination of Favorite E-Commerce in Indonesia in a Decision Support System Using the SWARA-ARAS Method
1. 69
Determination of Favorite E-Commerce in Indonesia in a Decision
Support System Using the SWARA-ARAS Method
Kadek Oky Sanjayaa,1
, Gede Surya Mahendrab,2,*
a
Program Studi Sistem Informasi, Fakultas Teknologi dan Sains, Universitas Hindu
Indonesia, Jl. Sangalangit, Kota Denpasar, Bali
b
Program Studi Teknik Informatika , STMIK STIKOM Indonesia, Jl. Tukad Pakerisan No.97,
Kota Denpasar, Bali.
1
kadekoki@unhi.ac.id; 2
gede.mahendra@stiki-indonesia.ac.id*
* Corresponding author
ABSTRACT (10PT)
Indonesia has many E-Commerce companies that are in great demand by the people in
Indonesia. COVID-19 has led to an increase in people's transactions using E-Commerce. E-
Commerce, which has not been able to capture market share in Indonesia, is competing to
increase the number of transactions. E-Commerce that already has regular customers will
continue to maintain the quality and quantity of its transactions. E-Commerce customers also
have their own preferences in choosing the E-Commerce company that will be used for
transactions. The many criteria that are taken into account by customers sometimes confuse
customers to be able to choose the most appropriate E-Commerce that best suits customer
desires. Decision support systems can be used to help customers make their choices. The
method used is SWARA-ARAS. There are 8 criteria and 6 alternatives used in this DSS. The
methodology in this study uses the CRISP-DM Framework. Based on the 6 alternatives tested
using SWARA-ARAS, Lazada (X4) became the favorite e-commerce in Indonesia with a value
of 0.9193 followed by Tokopedia with a value of 0.9155 and Shoopee with a value of 0.9045.
JD.ID became the last position with a value of 0.8753.
Keywords: SWARA, ARAS, E-Commerce
I. Introduction
Given that 96% of internet users in
Indonesia have used e-commerce, it is hoped
that e-commerce in Indonesia can develop
rapidly and become a leader in the Southeast
Asian market[1]. According to 2019 data, the
value of e-commerce transactions in
Indonesia is US $ 21 billion, and is estimated
to reach US $ 82 billion in transaction value
by 2025[2]. The current situation regarding
the impact of COVID-19 on the global e-
commerce industry shows that daily web
traffic has increased significantly by more
than 50%, which may be due to the social
and physical restrictions experienced by
consumers[3]. The government also
provides protection to consumers when
transacting through e-commerce through
preventive and repressive methods[4].
This situation allows e-commerce to
penetrate deeper and gain growth in the
Indonesian market. E-commerce is also
required to always maintain its own
2. 70
excellence in providing quality products and
services. Indonesia has a lot of e-commerce,
and Indonesia has the 6 largest e-commerce
companies consisting of Blibli, Bukalapak,
JD.id, Lazada, Shopee, and Tokopedia[5].
Behind the convenience provided, there are
still several negative factors, such as product
mismatches, delivery problems, security of
payment methods and customer service. Due
to intense competition, many consumer
considerations, it is difficult to choose
between the same products but the prices
offered are different, so that consumers are
still confused about choosing the right and
trusted e-commerce transaction. To solve this
problem, a decision support system (DSS)
can be used to provide advice in choosing the
right e-commerce. DSS itself is an effective
system that can assist users in making
complex decisions[6]. This system uses
decision rules, analysis models,
comprehensive databases, and decision
maker knowledge[7]–[10].
In this study, the method used was a
combination of SWARA-ARAS. SWARA
method, done by the weighting method, the
relative importance and the initial
prioritization of alternatives for each attribute
are determined by the opinion of the decision
maker, and then, the relative weight of each
attribute is determined[11]–[14]. The ARAS
method aims to select the best alternative
based on a number of attributes and the final
ranking of alternatives is made by
determining the utility degree of each
alternative[15]–[17]. In previous studies, the
combination of these methods in the DSS has
been applied well, decision makers can weigh
the criteria and greatly influence the results
of recommendations [18]–[20]. Regarding
the choice of e-commerce, several studies
have compared different alternative criteria
and methods, and achieved good results[21]–
[24].
Therefore, this study aims to be able to
perform calculations manually a
combination of the SWARA-ARAS
methods. The urgency of this research, if
not realized, could result in obstruction of
the development of the DSS method
which can only reach the calculation and
design stages manually, thus hindering
innovation in the DSS field. Based on the
background previously described, it is
necessary to realize a combination of the
SWARA-ARAS methods to determine the
best e-commerce using DSS.
II. Methodology
Fig. 1.CRISP-DM Model
The research method used in this
study follows the various stages of the
CRISP-DM model[25]–[27]. Data-related
problems such as data mining and DSS
can use the CRISP-DM method, which is
expected to analyze business problems
and current conditions, provide
appropriate data conversion to provide a
model that can evaluate effectiveness and
record the results obtained. CRISP-DM
solves this problem by defining a process
model related to data mining and DSS,
regardless of the problem department or
technology used.
3. 71
Business understanding is the stage
used to determine business goals, analyze
business conditions, and determine the
objectives of the DSS. At this stage a
thorough understanding is carried out based
on the results of the analysis of observations,
interviews, and supporting documents for the
objectives and results of the research. Several
options can be found when determining the
best e-commerce in Indonesia. Based on the
alternatives obtained, calculations are made
to determine the ranking. The best e-
commerce results can be the best
recommendations for consumers to make
digital transactions. On the other hand, e-
commerce that has not achieved the best
results can still improve its performance to
gain a better market share. When determining
the number and alternative criteria for the
best e-commerce candidates, refer to the
assessment in the 2019 Consumer Pulse eIQ
survey and get 6 alternatives namely Blibli,
Bukalapak, JD.id, Lazada Indonesia, Shopee
and Tokopedia. The decision makers used are
3 netizens who are actively using e-
commerce. The weights of the criteria were
obtained from the Decision Maker and were
calculated using SWARA, while the
evaluation of the alternative ranking used the
ARAS methods.
At Data understanding stage, it starts
with the process of data collection, data
analysis and evaluation of the quality of the
data used in the study. To be able to use the
SWARA-ARAS methods correctly,
appropriate criteria and alternative data are
needed. The criteria used in this study include
reputation, price & product, customer
service, delivery & payment, application &
UX and security & policy.
At Data preparation stage includes
selecting the data used and published to be
included in the DSS calculation. At this stage,
data cleaning is also carried out to repair,
remove or ignore noise in the data. At the
business understanding stage, the tools,
techniques or methods used in this study
have been selected. In this Modeling
stage, SWARA-ARAS methods were
chosen to determine the best e-commerce
in Indonesia. Before continuing the
research, you can do a test design with the
data to prove the method can be used.
Flowchart of method usage can be seen in
Figure 2.
Fig. 2.SWARA-ARAS Flowchart
The first step is to prepare
comparison data between the criteria
provided by the decision maker as a
resource and alternative data is Indonesian
e-commerce data based on the 2019 eIQ
Consumer Pulse survey. The SWARA
method starts with the initial prioritization
of attributes, calculates the coefficient,
determines the initial weight, relative
weight, thus determining the final ranking
of attributes. Furthermore, the ARAS
method is used to normalize alternative
data to produce normalized alternative
data. Criteria weight data results from the
4. 72
calculation of the SWARA method, and
alternative data normalized using the ARAS
methods are used for weighted normalization
calculations and calculating preference
values, the optimality function, as well as
producing ratings based on utility degree that
can determine the best e-commerce ranking.
This can be a reference for customers or input
as a refinement of e-commerce, which still
lacks in some aspects.
At evaluation stage, testing is carried
out based on the results of the DSS
recommendations and the performance of the
methods used. Calculations must be tested
manually, and the results obtained when
implemented in software have the same value
in order to have compatibility between the
two. Sensitivity testing is used to compare the
performance between the ARAS methods to
measure which method is more sensitive to
changes in weighting criteria, therefore the
more sensitive the better. At Deployment
stage, a deployment plan is carried out based
on previous assessments. If the test results
show good results, further implementation
can be planned. Apart from deployment
planning, a monitoring and maintenance plan
can also be planned to produce a final report
on the research results.
III. Result and Discussion
This research is based on questionnaire
data from users who are very familiar with e-
commerce, the questionnaire is transformed
using the SWARA method into weighting
criteria and e-commerce data as an
alternative. The number of Decision Makers
used to produce weighting criteria is 3
people, and the amount of e-commerce data
used is 6 companies. The calculation starts
using the SWARA method. There are 6
criteria, namely (C1) reputation, (C2) price &
product, (C3) customer service, (C4) delivery
& payment (C5) application & UX and
(C6) security & policies. The initial
prioritization of attributes from Decision
Maker 1. 2 and 3 are shown in Table 1.
Table 1. The Initial Prioritization of
Attributes from Decision Maker 1, 2 and
3
Criteri
a
C
1
C
2
C
3
C
4
C
5
C
6
DM1
4 4,
9
3 3,
3
2,
8
4,
5
DM2
3,
8
4,
5
3,
2
3,
9
3,
5
3,
4
DM3
3,
2
4,
7
3 3,
7
3 4
Furthermore, the calculation is
focused on the Decision Maker 1. The
calculation steps for other Decision
Makers are the same as the calculation for
the Decision Maker 1.
To change from the initial
prioritization of attributes to calculate
coefficients, you can sort the weights of
the criteria, from the largest to the
smallest. Then normalization is carried out
by dividing the value of each weight by
the maximum value for all weight values.
The coefficient value is done by adding a
value of 1 to each value of each criterion
in the Normalized Initial Prioritization of
Attributes except the largest. The sorted
and normalized initial prioritization of
attributes from DM 1 and the coefficient
value are shown in table 2.
Table 2. Sorted and Normalized
Initial Prioritization of Attributes from
Decision Maker 1 and the Coefficient
Value
5. 73
Criteria DM1
DM1
Norm.
DM1
Coef.
C2 4,9 1,000 1,000
C6 4,5 0,918 1,918
C1 4 0,816 1,816
C4 3,3 0,673 1,673
C3 3 0,612 1,612
C5 2,8 0,571 1,571
Max 4,9
The initial weight of an attribute for
each decision maker is calculated by dividing
the initial weight of the i − 1 attribute by the
coefficient value (k) of ith attribute in the
same decision maker, which is as follows for
the first attribute:
𝑞𝑞2 = 1
𝑞𝑞6 = 1,000
1,918
� = 0,521
𝑞𝑞1 = 0,521
1,816
� = 0,287
𝑞𝑞4 = 0,287
1,673
� = 0,171
𝑞𝑞3 = 0,171
1,612
� = 0,106
𝑞𝑞5 = 0,106
1,571
� = 0,068
After getting the initial weight value,
normalization is carried out by dividing the
entire initial weight by the number of initial
weights, to be able to calculate the relative
weight value. The initial weight and relative
weight of DM1 which have been sorted in the
initial conditions can be seen in table 3.
Table 3. Initial Weight and Relative
Weight from Decision Maker 1
Criteria
Initial
Weight
Relative
Weight
C1 0,287 0,133
C2 1,000 0,464
C3 0,106 0,049
C4 0,171 0,080
C5 0,068 0,031
C6 0,521 0,242
With these steps, they are also
carried out on DM2 and DM3, so that they
get the relative weight of each decision
makers. Table 4 shows the results of the
relative weight of each decision maker
along with their geometric mean to be
used in a compromise for weighting the
criteria in ARAS. The pie chart for the
relative weight under normalized
geometric mean conditions can be seen in
Figure 3.
Table 4. Relative Weight of Each
Decision Maker and Normalized
Geometric Mean
Criteri
a
Relative Weight Geo
Mean
(Norm
)
DM
1
DM
2
DM
3
C1 0,13
3
0,13
6
0,08
2
0,1218
9
C2 0,46
4
0,46
8
0,45
5
0,4943
5
C3 0,04
9
0,02
5
0,05
0
0,0424
9
C4 0,08
0
0,25
1
0,13
7
0,1497
0
C5 0,03
1
0,07
6
0,03
0
0,0447
3
C6 0,24
2
0,04
4
0,24
6
0,1468
4
6. 74
Fig. 3.Relative Weight Using SWARA
(Normalized Geometric Mean)
After getting the weighted criteria
results, continue using the ARAS method to
calculate the preference value. When using
the ARAS method to calculate, starting from
the normalized decision matrix, the weighted
normalized decision matrix, the optimality
function, the ultility degree and the final
ranking of alternatives. The e-commerce data
used includes Blibli (X1), Bukalapak (X2),
JD.ID (X3), Lazada (X4), Shopee (X5) and
Tokopedia (X6). Based on predetermined e-
commerce data, the results are shown in
Table 5 below. To get the value for X0, if the
criterion is a benefit condition, then X0 is the
maximum value from the criteria column,
and if the criterion is a cost condition, then
X0 is the minimum value from the criteria
column. The sum row only sums the
alternative values in the criteria column
without including X0.
Table 5. Alternative data and X0
using ARAS
Cri
-
teri
a
C
1
C2 C3
C
4
C5 C6
X0
14
,8
170,
1
23,
3
71
,4
32,
4
22,
7
X1
14
,8
168,
5
18,
4
61
,7
19,
8
15
X2 13
163,
7
23,
3
46
,4
32,
4
21,
4
X3
12
,9
170,
1
8,3
71
,4
22,
8
13,
7
X4
13
,7
166,
5
15,
8
62
,3
19,
5
22,
2
X5
10
,9
168,
2
18,
7
58
,3
23
22,
4
X6
14
,3
167,
2
21,
4
42
,9
31,
6
22,
7
SU
M
79
,6
100
4,2
105
,9
34
3
149
,1
117
,4
The normalized decision matrix is
calculated using the following steps.
Exemplified in line X1 where the other
alternative uses the same steps as X1,
including X0. The results of the
normalized decision matrix of all
alternatives can be seen in table 6.
𝑟𝑟∗
𝑖𝑖𝑖𝑖 =
𝑟𝑟𝑖𝑖𝑖𝑖
∑ 𝑟𝑟𝑖𝑖𝑖𝑖
𝑚𝑚
𝑖𝑖=0
𝑋𝑋∗
11 =
14,8
79,6
= 0,1859
𝑋𝑋∗
12 =
168,5
1004,2
= 0,1678
𝑋𝑋∗
13 =
18,4
105,9
= 0,1737
𝑋𝑋∗
14 =
61,7
343
= 0,1799
𝑋𝑋∗
15 =
19,8
149,1
= 0,1328
𝑋𝑋∗
16 =
15
117,4
= 0,1278
C1
12,19%
C2
49,43%
C3
4,25%
C4
14,97%
C5
4,47%
C6
14,68%
RELATIVE WEIGHT
(NORMALIZED GEOMETRIC MEAN)
7. 75
Table 6. Normalized Decision Matrix
Using ARAS
Cri
-
teri
a
C1 C2 C3 C4 C5 C6
X0
0,1
86
0,1
69
0,2
20
0,2
08
0,2
17
0,1
93
X1
0,1
86
0,1
68
0,1
74
0,1
80
0,1
33
0,1
28
X2
0,1
63
0,1
63
0,2
20
0,1
35
0,2
17
0,1
82
X3
0,1
62
0,1
69
0,0
78
0,2
08
0,1
53
0,1
17
X4
0,1
72
0,1
66
0,1
49
0,1
82
0,1
31
0,1
89
X5
0,1
37
0,1
67
0,1
77
0,1
70
0,1
54
0,1
91
X6
0,1
80
0,1
67
0,2
02
0,1
25
0,2
12
0,1
93
After getting the normalized decision
matrix, proceed to calculate the weighted
normalized decision matrix, by multiplying
the relative weight from SWARA with the
normalized decision matrix from ARAS.
Exemplified in line X1 where the other
alternative uses the same steps as X1. The
results of the weighted normalized decision
matrix of all alternatives can be seen in table
7.
𝑟𝑟𝚤𝚤𝚤𝚤
� = 𝑟𝑟∗
𝑖𝑖𝑖𝑖 × 𝑤𝑤𝑗𝑗
𝑋𝑋11
� = 0,1859 × 0,1219 = 0,0227
𝑋𝑋12
� = 0,1678 × 0,4943 = 0,0829
𝑋𝑋13
� = 0,1737 × 0,0425 = 0,0074
𝑋𝑋14
� = 0,1799 × 0,1497 = 0,0269
𝑋𝑋15
� = 0,1328 × 0,0447 = 0,0059
𝑋𝑋16
� = 0,1278 × 0,1468 = 0,0188
Table 7. Weighted Normalized
Decision Matrix Using SWARA-ARAS
Cr
i-
ter
ia
C1 C2 C3 C4 C5 C6
X0
0,0
23
0,0
84
0,0
09
0,0
31
0,0
10
0,0
28
X1
0,0
23
0,0
83
0,0
07
0,0
27
0,0
06
0,0
19
X2
0,0
20
0,0
81
0,0
09
0,0
20
0,0
10
0,0
27
X3
0,0
20
0,0
84
0,0
03
0,0
31
0,0
07
0,0
17
X4
0,0
21
0,0
82
0,0
06
0,0
27
0,0
06
0,0
28
X5
0,0
17
0,0
83
0,0
08
0,0
25
0,0
07
0,0
28
X6
0,0
22
0,0
82
0,0
09
0,0
19
0,0
09
0,0
28
After getting the weighted normalized
decision matrix, proceed to calculate the
optimality function, by adding up the
values of all rows from the weighted
normalized decision matrix. The optimal
value is called V0 which is the result of
utility degree on alternative X0.
𝑆𝑆𝑖𝑖 = � 𝑟𝑟𝚤𝚤𝚤𝚤
�
𝑛𝑛
𝑗𝑗=1
𝑉𝑉0 = 0,0227 + 0,0837 + 0,0093 +
0,0312 + 0,0097 + 0,0284 =
0,1850
𝑆𝑆𝑋𝑋1 = 0,0227 + 0,0829 + 0,0074 +
0,0269 + 0,0059 + 0,0188 =
0,1646
𝑆𝑆𝑋𝑋20,0199 + 0,0806 + 0,0093 +
0,0203 + 0,0097 + 0,0268 =
0,1666
8. 76
𝑆𝑆𝑋𝑋3 = 0,0198 + 0,0837 + 0,0033 +
0,0312 + 0,0068 + 0,0171 = 0,1620
𝑆𝑆𝑋𝑋4 = 0,0210 + 0,0820 + 0,0063 +
0,0272 + 0,0059 + 0,0278 = 0,1701
𝑆𝑆𝑋𝑋5 = 0,0167 + 0,0828 + 0,0075 +
0,0254 + 0,0069 + 0,0280 = 0,1674
𝑆𝑆𝑋𝑋6 = 0,0219 + 0,0823 + 0,0086 +
0,0187 + 0,0095 + 0,0284 = 0,1694
To calculate the utility degree, it is done
by dividing the optimality function value of
each alternative by the value of V0.
𝑘𝑘𝑖𝑖 =
𝑆𝑆𝑖𝑖
𝑉𝑉0
𝑘𝑘𝑋𝑋1 =
0,1646
0,1850
= 0,8898
𝑘𝑘𝑋𝑋2 =
0,1666
0,1850
= 0,9003
𝑘𝑘𝑋𝑋3 =
0,1620
0,1850
= 0,8753
𝑘𝑘𝑋𝑋4 =
0,1701
0,1850
= 0,9193
𝑘𝑘𝑋𝑋5 =
0,1674
0,1850
= 0,9045
𝑘𝑘𝑋𝑋6 =
0,1694
0,1850
= 0,9155
In the final ranking, the utility degree
values are arranged in descending order, and
the alternative with the highest utility degree
value is selected as the best alternative. The
ranking for the selection of the best e-
commerce in Indonesia can be seen in the
table 8. The graph for ranking e-commerce
can be seen in the figure 4.
Table 8. The Ranking for the
Selection of the Best E-Commerce in
Indonesia Using SWARA-ARAS
Alternative
Utility
Degree
Ranking
Lazada (X4) 0,9193 1st
rank
Tokopedia
(X6)
0,9155 2nd
rank
Shoopee (X5) 0,9045 3rd
rank
Bukalapak
(X2)
0,9003 4th
rank
Blibli (X1) 0,8898 5th
rank
JD.ID (X3) 0,8753 6th
rank
Fig. 4.Selection of the Best E-Commerce
in Indonesia Using SWARA-ARAS
Based on calculations using SWARA-
ARAS, the favorite e-commerce in
Indonesia is Lazada (X4). Decision
makers focus on price and product criteria
reaching 49.43% which is almost half
compared to other criteria considerations,
and after that, delivery & payment criteria
reaching 14.97% and security & policies
criteria reaching 14.68%. In the Lazada
(X4) alternative seen in the normalized
decision matrix, it has a fairly good and
balanced value on criteria 2, 4 and 6, so
0,9155
0,9045
0,9193
0,8753
0,9003
0,8898
0,80 0,82 0,84 0,86 0,88 0,90 0,92 0,94
Selection of the Best E-
Commerce in Indonesia Using
SWARA-ARAS
Blibli Bukalapak JD.ID
Lazada Shoopee Tokopedia
9. 77
that the utility degree calculation is the best.
The next favorite e-commerce, followed by
Tokopedia and Shoopee, while the least
featured from the tested data is JD.ID.
Ratings may change when the decision maker
gives a different rating.
IV. Conclusion
Based on previous research, it shows that
the SWARA-ARAS method can be used to
determine favorite e-commerce in Indonesia.
Based on the weighting of the three decision
makers on the 6 predetermined criteria, they
tend to choose the price & product criteria as
the main choice. Based on the 6 alternatives
tested using SWARA-ARAS, Lazada (X4)
became the favorite e-commerce in Indonesia
with a value of 0.9193 followed by
Tokopedia with a value of 0.9155 and
Shoopee with a value of 0.9045. JD.ID
became the last position with a value of
0.8753. The position of this favorite e-
commerce in Indonesia is strongly influenced
by the decision of the decision maker. If the
decision maker gives a different assessment
of each criterion, the position of this favorite
e-commerce in Indonesia will also change.
Acknowledgment
Thank you to the Editorial Team of the
International Journal of Interreligious and
Intercultural Studies, Universitas Hindu
Indonesia for giving the author the
opportunity to publish this proceeding article.
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