Statistical Analysis on the Usage of Internettheijes
The usage of internet with respect to the parameters gender, age group, education, marital status,
employment status, internet service provider, mail id, communication through net, making new friends, chatting,
maintaining social network websites, bill payments and educational purpose, research purposes etc. are under
study. In this paper an attempt is made to analyze each of the parameter in detail using statistical tools.
Mental Disorder Prevention on Social Network with Supervised Learning Based A...ijtsrd
Informal community clients guess the interpersonal organizations that they use to preserve their protection. Be that as it may, in online interpersonal organizations, protection ruptures are not really. In this proposed, first classifies to secure the buyer that occur in online informal communities. Our proposed methodology depends on specialist based portrayal of an informal organization, where the operators handle clients seclusion prerequisites by making duties with the framework. The prevailing limit through exchange learning and highlight Convolution Neural Network CNN have expected developing significance inside the PC vision network, so creation a progression of noteworthy leaps forward in basic leadership. In like manner it is a significant procedure with the end goal of how to be pertinent CNN to basic leadership for better execution. Or maybe, by and by prescribe an AI framework, to be express, Social Network Mental Disorder Detection SNMDD , that misuses features isolated from natural association data log record to exactly perceive potential cases of SNMDs. We furthermore misuse multi source learning in SNMDD and propose another Supervised Learning with Amoeba Optimization SLAO to improve the precision. To extend the adaptability of SMM, we further improve the efficiency with execution guarantee. Swati Dubey | Dr. Rajesh Kumar Shukla ""Mental Disorder Prevention on Social Network with Supervised Learning Based Amoeba Optimization"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25107.pdf
Paper URL: https://www.ijtsrd.com/computer-science/world-wide-web/25107/mental-disorder-prevention-on-social-network-with-supervised-learning-based-amoeba-optimization/swati-dubey
Statistical Analysis on the Usage of Internettheijes
The usage of internet with respect to the parameters gender, age group, education, marital status,
employment status, internet service provider, mail id, communication through net, making new friends, chatting,
maintaining social network websites, bill payments and educational purpose, research purposes etc. are under
study. In this paper an attempt is made to analyze each of the parameter in detail using statistical tools.
Mental Disorder Prevention on Social Network with Supervised Learning Based A...ijtsrd
Informal community clients guess the interpersonal organizations that they use to preserve their protection. Be that as it may, in online interpersonal organizations, protection ruptures are not really. In this proposed, first classifies to secure the buyer that occur in online informal communities. Our proposed methodology depends on specialist based portrayal of an informal organization, where the operators handle clients seclusion prerequisites by making duties with the framework. The prevailing limit through exchange learning and highlight Convolution Neural Network CNN have expected developing significance inside the PC vision network, so creation a progression of noteworthy leaps forward in basic leadership. In like manner it is a significant procedure with the end goal of how to be pertinent CNN to basic leadership for better execution. Or maybe, by and by prescribe an AI framework, to be express, Social Network Mental Disorder Detection SNMDD , that misuses features isolated from natural association data log record to exactly perceive potential cases of SNMDs. We furthermore misuse multi source learning in SNMDD and propose another Supervised Learning with Amoeba Optimization SLAO to improve the precision. To extend the adaptability of SMM, we further improve the efficiency with execution guarantee. Swati Dubey | Dr. Rajesh Kumar Shukla ""Mental Disorder Prevention on Social Network with Supervised Learning Based Amoeba Optimization"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25107.pdf
Paper URL: https://www.ijtsrd.com/computer-science/world-wide-web/25107/mental-disorder-prevention-on-social-network-with-supervised-learning-based-amoeba-optimization/swati-dubey
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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their studies. As the students main focus for using such social networking websites should be centered focused but unfortunately the
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International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Susannah Fox's presentation to the Health 2.0 Conference on 4/23/09. Participatory medicine is taking hold with both citizens and health professionals. But there are still pockets of people who lack access to the basic technology, lack the skills required to participate, or who may lack the sense that they are welcome.
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People engage with many overlapping social networks and enact diverse social roles across different facets of their lives. Unfortunately, many online social networking services reduce most people’s contacts to “friend.” A richer computational model of relationships would be useful for a number of applications such as managing privacy settings and organizing communications. In this paper, we take a step towards a richer computational model by using call and text message logs from mobile phones to classifying contacts according to life facet (family, work, and social). We extract various features such as communication intensity, regularity, medium, and temporal tendency, and classify the relationships using machine-learning techniques. Our experimental results on 40 users showed that we could classify life facets with up to 90.5% accuracy. The most relevant features include call duration, channel selection, and time of day for the communication.
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Online Data Preprocessing: A Case Study ApproachIJECEIAES
Besides the Internet search facility and e-mails, social networking is now one of the three best uses of the Internet. A tremendous number of volunteers every day write articles, share photos, videos and links at a scope and scale never imagined before. However, because social network data are huge and come from heterogeneous sources, the data are highly susceptible to inconsistency, redundancy, noise, and loss. For data scientists, preparing the data and getting it into a standard format is critical because the quality of data is going to directly affect the performance of mining algorithms that are going to be applied next. Low-quality data will certainly limit the analysis and lower the quality of mining results. To this end, the goal of this study is to provide an overview of the different phases involved in data preprocessing, with a focus on social network data. As a case study, we will show how we applied preprocessing to the data that we collected for the Malaysian Flight MH370 that disappeared in 2014.
Impacts of social networking site (sns) on growing up adolescent girls a stud...NAAR Journal
Nowadays the internet has gained paramount importance in the education arena. The main objective of the study is to identify the impacts of social networking sites (SNS) on growing up adolescent girls in KCC. To identify the nature of browsing the internet, to find out how social sites help to increase the knowledge level, to know the impact of using a social networking site. The study was conducted through a survey research design. For this study, purposive sampling was used. Samples were collected from the 13 to 18-year girls. The total sample size was 100. The average age of using the internet for the first time of the respondents was 17.71 years old. The study shows that teenagers were positively affected as social media helped in increasing their communication abilities, getting information, developing their technical skills, and how they can effectively use this recent technology.
Analysis of social networking websites and its effect on academic studentsJahangeer Qadiree
Social Networking Websites have enlarged widely worldwide and are used by different types of communities for different
purposes. The effect of social networking websites can be good on students but if we look closer on social networking websites. Today;
Social Networking Websites leads an important role in running the future and carrier of students. At present there are billions of profile
identities of the world wide on Social Networking Websites. The social networking websites are continuously disturbing students from
their studies. As the students main focus for using such social networking websites should be centered focused but unfortunately the
student are using social networking websites for complete destroy of their carrier. As the Social Networking Websites were the only link
between many users across the world, but the social networking websites become just a fertile exercise among the students, teenagers
and even adults. This research paper presents the social networking websites effect on student’s carrier, and the life of teenagers. It also
shows that how the social networking websites are today effective for students pursuing academics, youth and teenagers.
Excessive use of the Internet has been found by various studies to disrupt individuals' time use
and have a series of health consequences. However, the existence of Internet addiction as a mental disorder is
not yet well recognized.
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Liminar em Agravo
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Determinants of Internet Media Abuse In Workplace.
1. Determinants of Internet Media Abuse In WorkplaceDeterminants of Internet Media Abuse In Workplace
Fairul Hisyam bin Mat
GSK 2159
Supervisor:
Dr. Noor Fadhiha Mokhtar
AP Dr. Shafiek Mokhlis
2. • IntroductionIntroduction
• Problem StatementProblem Statement
• Research ObjectiveResearch Objective
• Research QuestionResearch Question
• HypothesisHypothesis
• Research ContributionResearch Contribution
• Theoretical FrameworkTheoretical Framework
• Literature ReviewLiterature Review
• Research DesignResearch Design
• Findings & DiscussionFindings & Discussion
• Recommendations & ConclusionRecommendations & Conclusion
• ReferencesReferences
Determinants of Internet Media Abuse InDeterminants of Internet Media Abuse In
WorkplaceWorkplace
3. The internet user worldwide is estimated at 2,925 billion from 7,243 billion people
world population (www.internetworldstats.com)
The miscellaneous information true of false, idea, ideology, propaganda and
pornography distributed through internet. complaints and arguments on negative
element that damage the internet users, regardless of age, position, religions, nations
and communities. The negative content such as pornography, gambling and illegal
business has contributed to the internet abuse by the users).
According to Wikipedia “Internet abuse refers to improper use of the internet and may
include computer crime (use of computers in criminal activity), cyber bullying (use of
the computer to bully and intimidate), spam electronic (sending unwanted advertising)
and malware (software designed to harm a user’s computer, including computer
virus)”
4. Johor State Secretary, YB. Datin Paduka Norsiah Harun exposed internet abuse among civil
servants in Johor. 20% of civil servants in the states had found guilty for coursing system slow
due to misused of the internet facilities at offices by download songs, pictures, computer games
and surfing porn sites based on their private identification log-on (Tan, 2006).
Public Service director-general Tan Sri Mohamad Zabidi Zainal (Sarban S 2013). The culture of using
social media to criticize has become such a problem among younger civil service. Public Services
Department has been forced to issue a circular to remind them to desist or face the consequences
Terengganu State Secretary, Dato' Osman Muda (Ali, S. 2015, March 24). A handful of civil servants
in the state, tarnish agenda and program planned by the government through social media. The
directly department head does not care about it though clearly could tarnish the image of the
department, government and Terengganu
According to Psychologist and Dean of Faculty of Education Universiti Malaya Prof. Dr. Mariani Mohd
Nor said the trend of using electronic gadget and social media can be found a cause for divorce.
The applications such as WhatsApp can be a platform for young married couple expresses their
anger in the face of domestic conflict (Abdullah, 2016).
5. 5
An increasingly number of reports is released to aware the management of the
negative impact of internet addiction and internet abuse on the normal operation of
an organization. Some organizations are even proactively formulating internet use
policy and adopting electronic monitoring. ( Chen, Chen & Yang 2008)
Over the past decade, employee Internet misuse and abuse has become a growing
concern that has impacted several predominant corporations (S.Young & J.Case
2003)
6. RESEARCH OBJECTIVES & QUESTIONRESEARCH OBJECTIVES & QUESTION
Research Objective Research Question
1. To identify the determinants of internet
media abuse in the organization
What are the determinants of media abuse in
organization?
2. To examine the relationship between
attitude toward behavior contribute internet
media abuse
Does attitudinal factors contribute Internet media
abuse?
3. To examine the relationship between
perceived behavioral controls contribute
Internet media abuse
Does perceived behavioral controls contribute
Internet media abuse?
4. To examine the relationship between
subjective norm contribute Internet media
abuse
Does subjective norm contribute internet media
abuse?
5.To suggest recommendation to organization
about combating the internet media abuse
among the staff.
What are recommendations to organization
about combating internet media abuse among staff?
7. H1: There is a significant relationship between attitudes towards Internet abuse by
organization employees.
H1a: There is a significant relationship between job satisfaction towards internet
abuse by organization employees
H1b: There is a significant relationship between internet addiction towards internet
abuse by organization employees
H2: There is significant relationship between perceived behavioral controls towards
Internet abuse by organization employees.
H2a: There is significant relationship between workplace policy towards internet
abuse by organization employees.
H2b: There is significant relationship between productivity towards internet abuse by
organization employees.
H3: There are significant relationship subjective norm towards Internet abuse by
organization employees.
H3a: There are significant relationship peers cultures towards Internet abuse by
organization employees.
H3b: There are significant relationship supervisor cultures towards Internet abuse by
HYPOTHESISHYPOTHESIS
8. • The result of this study would add to the knowledge that the internet abuses in
organization are online friendship, non-related activities, online information abuse
and cyber sexual.
• The study contributes to organization by information that the attitudinal factors
affect the extent of Internet media abuse.
• The study contributes to organization by information that the perceived factors
affect the extent of Internet media abuse.
• The study contributes to organization by information that the subjective norm affect
the extent of Internet media abuse.
• The present study aims is to suggest organization combating internet media abuse
by increase observation to the staff.
RESEARCH CONTRIBUTIONRESEARCH CONTRIBUTION
10. • Developed by Icek Ajzen
• Extension of his Theory of Reasoned Action (TRA), since TRA states that actual
behaviour is highly related to behavioural intention, but the results of some studies
show that, because of circumstantial limitations, behavioural intention does not
always lead to actual behaviour.
• TPB adds the notion of Perceived behavioural control which refers to a person’s
perceptions of their ability to perform a given behaviour.
1985
Theory of Planned Behaviour (TPB)
Model and Theory
11. Variable Indicators Citation
Independent
Attitudes Towards Behaviour
Job satisfaction
Internet addiction
Job satisfaction,
Heavy usage of internet,
Internet addiction,
Physical illness,
Isolation from society,
Inability predict time spend,
Neglecting family and friends,
Change in sleep pattern,
Health problem.
Stonton’s (2002)
Chen,Chen & Yang (2008)
Kershaw ( 2005)
Independent
Perceived Behaviour Control
Workplace policy
Productivity
Internet use policies,
Employee training,
Monitoring internet use,
Rehabilitation for abuse.
Productivity measurement
Young (2010)
Vitak & LaRose (2011)
Independent
Subjective Norm
Peers cultures
Supervisor cultures
Pressure to engage or not to engage in a
behavior,
Weighed by motivation to comply with the
referent,
Co-workers and senior influence,
Internal and external containment.
Ajzen (2006)
Lee & Lee (2002)
Rekless (1940)
Dependent Internet Media Abuse
Unauthorized & non related work,
internet activity abuse,
online friendship/relationship abuse,
online information abuse criminal internet,
miscellaneous internet abuse,
Non-working related emails .
Lee,Lim & Wong (2005)
Griffth (2003),
LITERATURE REVIEWLITERATURE REVIEW
12. RESEARCH DESIGNRESEARCH DESIGN
a. Research Design - Descriptive
b. Quantitative – Hypothesis testing
c. Type of investigation - causal study to
investigate related element for
independent variables and Internet
Media Abuse
Research Instruments:
1.Questionnaire - Administered through
hand delivery
2.Secondary Data – Marang District
Council, Emerald Inside etc, web pages
(news online)
a. Data Collection/Source – Marang
District Council
b. Time horizon – This study is cross-
sectional. Data are gathered just one
over are period of days in order to
answer a research question
Sampling :
•Population –Marang District Council
employee
•Type – Probability Sampling Technique-
(the simple random sampling)
•Samples will be selected based on Krejcie
and Morgan’s (1970) sampling table
•Population- 194 people
•Sample – 127 people
•a total of 130 questionnaires were
distributed to target respondents;127
respondents returned the questionnaires.
Data Analysis:
1.Correlation analysis
2.Regression analysis
Research Limitations:
1.Co-operation from organizations
2.Confidentiality of data collected
13. Sample Characteristics Frequency Percent %
Gender
Male 62 48.8
Female 65 51.2
Age
<23 years 11 8.7
23-30 years 36 28.3
31-35 years 23 18.1
36-40 years 27 21.3
41-45 years 8 6.3
46-50 years 12 9.4
51-55 years 10 7.9
Category
Management & Professional 28 22.0
Support 99 78.0
Service Period
1-5 years 31 24.4
6-10 years 36 28.3
10-15 years 22 17.3
16-20 years 11 8.7
21-25 years 10 7.9
26-30 years 8 6.3
More than 31 years 9 7.1
14. Internet Usage Behavior
during Office Hour
Purpose Frequency Percent
Education 15 11.8
Social media 50 39.4
Financial 22 17.3
News 33 26.0
Entertainment 7 5.5
Time
8-11.59 am 25 19.7
12-1 pm 16 12.6
1-2 pm 45 35.4
3-4 pm 17 13.4
4-5 pm 11 8.7
> 5 pm 13 10.2
15. Factor Analysis : Attitudes
Towards Behavior
Item
Factor Loading
(1)
Internet Addiction
(2)
Job Satisfaction
My office work suffer because of the amount of time spend online .764
I choose to surf internet rather than spend time with officemates .732
I snap, yell or act annoyed if someone bothers me while using the
internet
.732
I slept late due to surfing internet. .721
I am neglecting offices chores to spend more time on-line .715
My job productivity and job performance suffer because of the
internet
.665
I am feeling stay on-line longer than intended .622
I am feeling depressed, moody or nervous when off-line but it goes
away once back on-line
.621
I try to cut down the amount of time spent online and fail. .597
All in all, I am satsified with co-workers. .766
All in all, I am satisfied with the promotional opportunities .759
All in all, I am satisfied with subordinates .751
All in all, I am satisfied with my pay .684
All in all, I am satisfied with work of my job .657
Eigenvalue 5.034 2.236
% explained variances 31.12 20.81
16. Factor Analysis : Perceived Behavioral Control
Item
Factor Loading
(1)
Productivity
(2)
Workplace
(3)
Perceived need
I found myself in a trance and not be able to focus on the daily work .847
I found myself not working carefully as it should be
.804
I found myself not working on working time .802
I'm having trouble working quality lower than expected
.777
The use of the Internet during working hours for personal use is abuse .758
If my work place prohibit using the Internet for personal use , I will not do. .682
Use office internet for private use is unethical regardless of time .567
Use of the Internet for personal use at work is monitored by the employer .554
Working policy of ICT in the workplace is a guide when surfing the internet .510
I think employers should continue to use the internet in order to get information
regarding employee affair
.752
I think employers should encourage the use of the Internet to create a positive culture
in the workplace
.745
High-speed Internet in this office is a prerequisite for doing my daily tasks .666
Use office internet for personal use is acceptable if it does not interfere with daily
tasks
.514
Eigenvalue 3.068 2.152 1.519
% explained variances
20.29 15.82 15.72
17. Factor Analysis : Subjective Norm
Item
Factor Loading
(Subjective Norm)
My supervisor influenced me to surf the Internet .872
I always surf the internet with my supervisor .829
I always surf the internet with colleagues .768
My colleague influence to surf the Internet .756
I always communicate with my supervisor via the internet
( using Facebook , Instagram , Twitter, Skype , E - mail or whatapp )
.685
Eigenvalue 3.079
% explained variances 61.57
18. Factor Analysis : Internet Abuse
Item
Factor Loading
(1)
Hobby
(2)
Infomation
(3)
Transaction
I like to participate in an online auction. .778
I love downloading and / or watching video, audio , images, text for
personal purposes . .763
I often participate in newsgroups ( newsgroup ) which is not related to
work .753
I like to download the software for personal use .692
I often participate in online game .687
I like to join the chat .630
I often surf the internet without purpose .585
I read the news online including sports , weather , etc. .779
I surf the internet to find information, products and services related to
personal matters .609
I surf the internet to get information related to entertainment .604
I surf the internet to get information related to personal hobbies .577
I often use personal web mail, such as Yahoo , Hotmail or Gmail .577
I run an online business activities .824
I prefer to do online shopping. .746
I often perform investment activities and online banking .710
Eigenvalue 6.386 1.524 1.211
% explained variances 28.31 16.64 15.86
20. Multiple Regression Result
Predictor
Hobby Information Transaction
Beta t Beta t Beta t
Internet addiction
.181 2.212* .176 2.043* .334 3.873***
Job satisfaction
-.327 -4.487*** -.179 -2.045*
Productivity
-.401 -5.080***
Perceived need
.202 2.895** .236 2.829**
Policy
Subjective norm
3.906 .336***
F
24.07*** 13.822*** 9.875***
Adjusted R2
.423 .169 .176
***p < .001, **p < .01, * p < .05
21. DISCUSSIONDISCUSSION
Variable Indicator Result Author
Attitudes Towards
Behavior
Job satisfaction Significant
Woon (2004);
Polak (2003);
Stonton’s (2002)
Internet addiction Significant Chen (2008)
Perceived Behavior
Control
Workplace policy Not Significant Young (2010)
Productivity Significant
Vitak & La Rose
(2011)
Subjective Norm
Peers cultures
Significant
Woon & Pee
(2004)
Supervisor cultures
Significant
22. Result of Hypothesis Testing
Independent Variable Result
Attitudes Towards Behavior
Job satisfaction Accepted
Internet addiction Accepted
Perceived behavioral controls
Workplace policy Rejected
Productivity Accepted
Subjective norm
Peers cultures Accepted
Supervisor cultures Accepted
23. RECOMMENDATIONS & CONCLUSIONRECOMMENDATIONS & CONCLUSION
The study shows a small local council in Terengganu affected with internet abuse phenomenon.
The study shows majority employees use internet during working hours and affecting productivity.
(TERs)Training Enhancement Reward shoot
This study help to the organization :
Top management :
Information about Internet media abuse activities, the contributing factors and suitable
countermeasures.
Employees :
to develop consciousness and conceivably to change mannerism about Internet
media abuse.
Suggestion for future research :
to examine more organizations with wider respondents’ base and look into the development
of code of conduct for internet abuse suitable for government agency( local authority , state
and federal agency.)
other types of internet media abuse such those of crime offence: wagering, hacking,
espionage and others. Other interesting initiative is to examine the destructive effects
caused by internet media abuse to an organization.
to examine perceived need factor whether it contributes to internet media abuse and
workplace policy as the moderator/ mediator for internet media abuse.
use other model such as Technology Acceptance Model (TAM), Technology-Organization-
Environment (TOE) or Unified Theory of Acceptance and Use of Technology (UTAUT).
24. • A theoretical and practical contribution to the knowledge, clear
understanding to the factors contributes to internet media abuse at
workplace.
• The results also provide valuable inputs to the organization’s excellence.
RECOMMENDATIONS & CONCLUSIONRECOMMENDATIONS & CONCLUSION
