SlideShare a Scribd company logo
1 of 5
Download to read offline
American International Journal of Business Management (AIJBM)
ISSN- 2379-106X, www.aijbm.com Volume 5, Issue 07 (July-2022), PP 66-70
*Corresponding Author: Fransisca Andhika Dwi Vitorini1
www.aijbm.com 66 | Page
Proposed Marketing Strategy to Improve Performance of Wifi.id
Corner Indihome
FransiscaAndhikaDwi Vitorini1
, HerryHudrasyah2
,Nila Armelia3
1
School of Business and Management/ Bandung, Institute of Technology, Indonesia
2
School of Business and Management/ Bandung, Institute of Technology, Indonesia
3
School of Business and Management/ Bandung, Institute of Technology, Indonesia
ABSTRACT : The Internet has become a daily need, so the ease of accessing the internet is important.PT
Telkom Indonesia built a line of business that can realize this, its Wifi.id Corner in 2017. Accompanied by the
vision and mission of the government of President Ir H Joko Widodo in distributing infrastructure development
for the community in easy access to the internet. By realizing it, currently Wifi.id Corner has spread to 1000
points in Indonesia, including 38 points in the city of Bandung. In addition to providing convenience in
accessing the internet, Wifi.id Corner also provides affordable voucher prices from IDR 5,000 to IDR 20,000.
With the innovations that have been made, the vouchers sold from 2017 to 2021 have decreased. This can
happen because of the direct and indirect impact of competitors. The external environmental analysis uses
PESTEL, Porter's Five Forces, Consumer Analysis, and Competitor Analysis. The result of the analysis of the
external environment is the discovery of opportunities and threats from the environment outside the company.
Consumer analysis was carried out by distributing questionnaires to 156 respondents. The results of the
analysis are processed using the SmartPLS software with the SEM-PLS method to measure the correlation
between the variables used in this study which will then be used as material for the SWOT analysis. While the
analysis of the internal environment is carried out using Segmenting, Targeting, and Positioning (STP) and 7P's
Marketing Mix. The result of the analysis of the internal environment is the strengths and weaknesses of the
Wifi.id Corner company are found. The SWOT analysis combines the results of the internal and external
analysis of the company under study. Furthermore, the SWOT analysis is compiled into a TOWS matrix, which
will be an alternative strategy used to increase Wifi sales.id Corner.
KEYWORDS –Marketing strategy, SWOT, TOWS, Wifi.id Corner
I. INTRODUCTION
Nowadays, the internet has become a significant need in everyday life. The internet has a perfect role in
helping the role of business, learning, communication, and other needs. To assist the community in fulfilling this
role, PT Telkom come to provide convenience for its customers. Providing convenience in accessing the internet
quickly and at an affordable is one of the goals of PT Telkom. Compared to today, Asia is the first continent in
it’s contribution as the world's largest internet user, namely 53.4% with countries in 2021. This proves that the
internet is clearly on its way to becoming an inseparable business too, communication and popular culture in
various parts of the world.
With a reasonably large percentage in Asian countries, Indonesia also participates highly in providing
growth for internet use. It is proven by the results of the Internet penetration rate from 2017 to 2020 and
predictions until 2026[1]. The predicted growth in internet usage until 2026 is quite significant. It is a concern,
especially for companies in the telecommunications sector such as PT Telkom. In its vision, PT Telkom want to
become the digital telecommunication of choice to empower the community. With all its efforts, PT Telkom
strives to make it easier for everyone to access the internet for their needs. Such as building 1000 Wifi.idCorners
in each area to provide convenient area for the community in accessing the internet with immediate needs and
affordable prices.
Fig.1 Wifi.id Corner Sales in 2021
Proposed Marketing Strategy to Improve Performance of Wifi.id Corner Indihome
*Corresponding Author: Fransisca Andhika Dwi Vitorini1
www.aijbm.com 67 | Page
But in reality, Wifi.id Corner has faced several challenges that make the impact the sales in 2017 until
2021, specially in 2021. This revenue is a combination of consumers that bought vouchers by message to 98108
or buy vouchers on the spot. The revenue is decreasing from January 2021 until December 2021. The factors
for the decline in sales can be caused by competitor factors such as cafes and working spaces that can be a place
to replace customers when they need the internet.
II. LITERATURE REVIEW
Wifi.id Corner is built in 2017 andfocus to makes it easy to access the internet by providing several
types of places, but with the same affordable voucher price. Wifi.id Corner has six types of building, it depends
with the wide of the room. And Wifi.id Corner also has several payment methods that make it easier for
consumer to buy the voucher. In order to know to evaluate the efforts that influence consumers, we have to
measuring the purchase intention of the Wifi.id Corner. Purchase intention is the propensity of consumers to
purchase a brand or take action linked to the purchase, which is measured by the probability that customers will
make purchases [2].
In order to create purchase intention, it will measured with four indicators; brand awareness, product
quality, product price, and atmosphere. The theory of reasoned action was developed to explain relatively
simple activities for which behaviour prediction required simply the creation of an intention [3].
According to (Mostafa,2006) Brand awareness is the combination of information, experience, value
and insight that is formed during customer-business transactions and exchanges[4]. Brand awareness consists of
two components; brand delivers what it promises and brand has a name that we can trust [5]. Consumer of
Wifi.id Corner has a lack of trust that brand delivers as it promises.
The quality of a product is determined through comprehending and measuring the needs of the
consumer. Purchase intentions refer to the evaluation of a product by a buyer following its consumption [6].
After utilizing a product, one's intention to make a purchase either grows or diminishes as a result of the
product's direct influence [7]. Based on this case in Wifi.id Corner, when the strength of signal internet
compared with competitors (Brewspace Café and Eduplex), the signal internet of Wifi.id Corner is still
low.Based on their promise, they will give the internet speed of 100 Mbps, but in reality, the speed is not as
much.
According to Aaker (1996) the price has a significant impact on brand loyalty which in turn effects on
customers purchase intention[8]. Wifi.id Corner has three types of price depends on the period of use. For
period of use in 12 hours its IDR (In Indonesia Rupiah) 5000, seven days period of use in the price of IDR (In
Indonesia Rupiah) 20.000, for 30 days period of use in the price of IDR (In Indonesia Rupiah) 50,000. Based on
the consumer point of view, the price for Wifi.id Corner is affordable with the period of use that offered. Price is
always one of the most influential aspects in the consumer decision-making process [9].
The atmosphere is the environmental design that employs visual communication, lighting, color, music,
and odors to trigger the perceptual and emotional responses of customers in order to influence their buying
behavior [10]. According to Berman and Evans, that the components of atmosphere are general exterior and
general interior [11]. The general exterior consists of entrances, height and size of the building. Wifi.id Corner
has a good exterior for some types, such as a entrance symbol, sign board, and size of the building. But for
general interior, if it compared with competitors, Wifi.id Corner still in the below standard from their interior.
An atmosphere is established by marketers in order to convey a sense of pleasure, delight, and contentment
when completing a purchase [12].
III. RESEARCH METHOD
This study is categorised as mixed methods research, qualitative and quantitative data. To identify
internal analysis, this study use Segmenting, Targeting, and Positioning (STP), also Marketing Mix 7P’s.
Researcher used qualitative data to be collected and analysed. To identify external analysis, this study use
PESTLE, competitor analysis, consumer analysis, and Five Porter’s Force analysis, with quantitative and
qualitative data. This quantitative method will show the significance of the variable and the correlation of the
data with the method used.
Most research is motivated by a desire to gain control over difficulties, worries, and disputes inside an
organization or its surrounding environment. In other words, research often begins with the identification of a
problem. The methodical strategy for developing knowledge to prevent fundamental and administrative issues
[13].
IV. RESULT AND DISCUSSION
According to the consumer analysis, this study use questionnaires to show the significance of the
variable and the correlation of the data. The questionnaires distributed to 156 respondents, based on calculation
Proposed Marketing Strategy to Improve Performance of Wifi.id Corner Indihome
*Corresponding Author: Fransisca Andhika Dwi Vitorini1
www.aijbm.com 68 | Page
of Slovin’s formula with 2.1 million population who actively use the internet. In measuring the questionnaire
data using Structural Equation Modeling (SEM) and Partial Least Square (PLS) techniques.
Fig.2 Path Model PLS
Figure 1 shows the initial measurement model of all the variables tested in this study. The
representation of the construct of this measurement model defines the relationship between latent variables and
observed variables or indicators. This research use four variables to influenced the purchase intention; product
price, product quality, brand awareness, and atmosphere.
Table 1. Average Variance Extracted
Based on Table.1, it can be concluded that all variable constructs have an AVE value above 0.50 as the
recommended criteria. From the results of the discriminant validity test, it can be concluded that all latent
variables are valid and reliable.
Table 2. Reliability Test
Variable
Composite
Reliability
Cronbach's
Alpha
Description
Brand
Awareness
0,916 0,817 Reliable
Product Quality 0,915 0,813 Reliable
Atmosphere 0,959 0,955 Reliable
Product Price 0,866 0,769 Reliable
Purchase
Intention
0,891 0,837 Reliable
Based on Table 2., it shows that the value of the composite reliability test and Cronbach's alpha on
each latent variable shows a value greater than 0.70. In other words, the indicators are consistent in this
measurement. It is concluded that the indicators used in this study have met the reliability test. It can be
concluded that all the variables tested have a good level of reliability and deserve to be analyzed.
Table 3. R-Square
Variable R-Square
Purchase Intention 0,472
Table 3., shows that the R-square value for the Purchase Intention variable is obtained at 0.472. These
results indicate that the Purchase Intention variable is explained by 47.2% by the Brand Awareness, Product
Quality, Atmosphere and Product Price variables, based on the answers given by each respondent.
Table 4. Q-Square
Variable Q-Square
Purchase Intention 0,294
Variable AVE
Brand Awareness 0,845
Product Quality 0,843
Atmosphere 0,567
Product Price 0,683
Purchase
Intention
0,672
Proposed Marketing Strategy to Improve Performance of Wifi.id Corner Indihome
*Corresponding Author: Fransisca Andhika Dwi Vitorini1
www.aijbm.com 69 | Page
Based on Table 4.,shows that the results of predictive relevance are 0.294. It can be said that it fulfils
the requirements as a research model that has predictive relevance because it is in accordance with the specified
value, namely the value of 𝑄2
> 0 which explains that the model has predictive relevance.
After researcher identifying the internal, external analysis of Wifi.id Corner and make the Strength,
Weakness, Opportunity, and Threat (SWOT) analysis, the researcher propose marketing strategies regarding the
business issue. The researcher proposed the marketing strategy in purpose to increase sales of Wifi.id Corner by
creating TOWS analysis that will be used to determine the strategies. TOWS analysis used to analyses a firm
from marketing and management-oriented perspective[14].
Table 5. TOWS Matrix
Strength Weakness
S.1 Have an affordable voucher
price
S.2 Has wide type variants from
Wifi.id Corner
S.3 Has many branches in
Bandung
S.4 Convenience in buying
vouchers
W.1 Electric plugs that are
not many available
W.2 Has not doing
promotion optimally
W.3 Consumer complaints
are not well responded
Opportunity S-O Strategies W-O Strategies
O.1This business line
supported by Government
O.2 Perceived price from
consumers are good
O.3 Brand image from
consumers are good
SO.1 Maintain and make more
insentive cooperation with
government (S2,S3,O1,O3)
SO.2 Built partnership with
SEMs in Bandung
(S1,S3,S4,O2,O3)
SO.3 Does not change the price
(S1,S3,S4,O2,O3)
WO.1 Assigning human
resource to the digital
marketing specialist
(W2,O3)
WO.2 Focus on give a
feedback with the
complaints (W2,W3,O3)
WO.3 Make the techical
improvement
(W1,W3,O1,O3)
Threat S-T Strategies W-T Strategies
T.1 Consumers sensitive to
ambience of working space
T.2 The strength of the
internet signal didn't work
optimally
T.3 Consumers lost their
stuff in the wifi corner
T.4 Opening hours follow
Telkom office operating
hours
T.5 Has not many available
parking lot
ST.1 Make the research and
improvement to make the
different ambience (S1,S2,S3,T1)
ST.2 Improve the speed and
strength of internet signal
(S1,S2,S3,T2)
ST.3 Install CCTV and training
the security (S1,S2,S3,T3)
ST.4 Make the special area
parking lot for Wifi.id Corner's
consumer in parking area
(S1,S2,S3,T5)
ST.5 Make a speciality opening
hour for consumer in Wifi.id
Corner (S1,S2,S3,T4)
WT.1 Collaborating and
make a space for local food
(W2, T1,T4)
WT.2 Prioritize to make
the comfort atmosphere
(W1,W3,T1,T2,T3,T5)
As we can see in Table 5., there are several strategies that formulated in TOWS matrix, thirteen
alternative strategies can be implemented by the company to develop its business. Even though, not all strategies
can be implemented in one time, because:
- Human resources must be prepared in advance to implement new marketing strategies.
- The strategy that is not chosen at this time does not affect the company much or is not a priority that
must be done at this time.
- It takes a long time to realize the strategies that were not chosen
V. CONCLUSION
The results of the internal analysis and external analysis are then collected into a SWOT and TOWS
matrix. To enhance sales, the corporation might employ thirteen distinct marketing methods. Based on the
outcomes of discussions with the organization, three of the fourteen possible strategies were selected as those
Proposed Marketing Strategy to Improve Performance of Wifi.id Corner Indihome
*Corresponding Author: Fransisca Andhika Dwi Vitorini1
www.aijbm.com 70 | Page
that the company can execute immediately. The organization choose the three strategies based on its thoughts.
The strategies are using social media effectively, collaboration with Government and SMEs in Bandung, and
make improvement and innovation in Wifi.id Corner ambience.
ACKNOWLEDGEMENTS
This paper is a core of the thesis with the entitled “Proposed Marketing Strategy to Improve Performance of
Wifi.id Corner Indihome”, School of Business and Management, Bandung Institute of Technology, Indonesia.
REFERENCES
[1] Internet World Stats. (2021, March 31). Internet Users. Retrieved from www.internetworldstats.com
[2] Keller, K. L. (1993). Conceptualizing, measuring, and managing customer-based brand equity. Journal
of Market- ing, 57(January), 1–22.
[3] Armitage, C. "Christian j, eds. From attitudes to behavior: Basic and applied research on the theory of
planned behavior. New Brunswick." (2004).
[4] Mostafa, M. M. (2007). Gender differences in Egyptian consumers? green purchase behaviour: The
effects of environmental knowledge, concern and attitude. International Journal of Consumer Studies,
31(3), 220–229. https://doi.org/10.1111/j.1470-6431.2006.00523.x
[5] Wang, X., & Yang, Z. (2010). The effect of brand credibility on consumers’ brand purchase intention
in emerging economies: The moderating role of Brand Awareness and brand image. Journal of Global
Marketing, 23(3), 177–188. https://doi.org/10.1080/08911762.2010.487419
[6] Rao, A. R., & Monroe, K. B. (1988). The moderating effect of prior knowledge on cue utilization in
product evaluations. Journal of Consumer Research, 15(2), 253. https://doi.org/10.1086/209162
[7] Salman, M., & Naeem, U. (2015). The impact of consumer ethnocentrism on purchase intentions:
Local Versus Foreign Brands. Lahore Journal of Business, 3(2), 17–34.
https://doi.org/10.35536/ljb.2015.v3.i2.a2
[8] Aaker, D. (1996). Building Strong Brands. The Free Press, New York.
[9] Yadav, R., & Pathak, G. S. (2017). Determinants of consumers' green purchase behavior in a
developing nation: Applying and extending the theory of planned behavior. Ecological economics, 134,
114-122.
[10] BUDIMAN, S., & DANANJOYO, R. (2021). The Effect of Cafe Atmosphere on Purchase Decision:
Empirical Evidence from Generation Z in Indonesia. The Journal of Asian Finance, Economics and
Business, 8(4), 483-490
[11] Berman and Evans, 2010. “Retail Management”. 12th Edition. Jakarta; Pearson.
[12] Mowen, & Minor. (2008). Consumer Behavior (volume 2, 4thedition) Translation by DwiKartini
Yahya. Jakarta: Erlangga. [Indonesian].
[13] Sekaran, U., & Bougie, R. (2016). In Research Methods for Business. Wiley.
[14] James, Cadle, J., & Paul, D. (2014). Business Analysis Techniques. The Chartered Institute for IT.

More Related Content

Similar to I576670.pdf

Social_Media_Optimization
Social_Media_OptimizationSocial_Media_Optimization
Social_Media_Optimizationsfghh
 
DIGITAL MEDIA MARKETING IN INDIA Ajay 27-05-23 (1).pdf
DIGITAL MEDIA MARKETING IN INDIA Ajay 27-05-23 (1).pdfDIGITAL MEDIA MARKETING IN INDIA Ajay 27-05-23 (1).pdf
DIGITAL MEDIA MARKETING IN INDIA Ajay 27-05-23 (1).pdfPrinceVerma938105
 
Mobile Business Intelligence Acceptance Model for Organisational Decision Making
Mobile Business Intelligence Acceptance Model for Organisational Decision MakingMobile Business Intelligence Acceptance Model for Organisational Decision Making
Mobile Business Intelligence Acceptance Model for Organisational Decision MakingjournalBEEI
 
Intelligent Shopping Recommender using Data Mining
Intelligent Shopping Recommender using Data MiningIntelligent Shopping Recommender using Data Mining
Intelligent Shopping Recommender using Data MiningIRJET Journal
 
G486972.pdf
G486972.pdfG486972.pdf
G486972.pdfaijbm
 
Impact of digital marketing on consumer purchase behaviour
Impact of digital marketing on consumer purchase behaviourImpact of digital marketing on consumer purchase behaviour
Impact of digital marketing on consumer purchase behaviourChrishankar Janathanan
 
Best Practices For Building Your Mobile Applications - A Whitepaper by RapidV...
Best Practices For Building Your Mobile Applications - A Whitepaper by RapidV...Best Practices For Building Your Mobile Applications - A Whitepaper by RapidV...
Best Practices For Building Your Mobile Applications - A Whitepaper by RapidV...RapidValue
 
PPT RAJIV ,KUMER 4567 (1).pptx
PPT RAJIV ,KUMER 4567 (1).pptxPPT RAJIV ,KUMER 4567 (1).pptx
PPT RAJIV ,KUMER 4567 (1).pptxPRIMEIELTS
 
Analysis Of An Online Digital Marketing A Case Study
Analysis Of An Online Digital Marketing  A Case StudyAnalysis Of An Online Digital Marketing  A Case Study
Analysis Of An Online Digital Marketing A Case StudyCheryl Brown
 
Mobile Insights for 2014 J.Boye13 - Aarhus
Mobile Insights for 2014 J.Boye13 - AarhusMobile Insights for 2014 J.Boye13 - Aarhus
Mobile Insights for 2014 J.Boye13 - AarhusThe Judge Group
 
An empirical Study of In-App Advertising in Mobile Devices: Indian Scenario
An empirical Study of In-App Advertising in Mobile Devices: Indian ScenarioAn empirical Study of In-App Advertising in Mobile Devices: Indian Scenario
An empirical Study of In-App Advertising in Mobile Devices: Indian ScenarioPreetish Panda
 
Zoomy media international proposal
Zoomy media international proposalZoomy media international proposal
Zoomy media international proposal静 陆
 
Using data analytics to drive BI A case study
Using data analytics to drive BI A case studyUsing data analytics to drive BI A case study
Using data analytics to drive BI A case studyPhoenixraj
 
Yahoo! Business Case Analysis Essay
Yahoo! Business Case Analysis EssayYahoo! Business Case Analysis Essay
Yahoo! Business Case Analysis EssayMonica Rivera
 
Research paper on assessmet of sales potential of cloud-based mobility soluti...
Research paper on assessmet of sales potential of cloud-based mobility soluti...Research paper on assessmet of sales potential of cloud-based mobility soluti...
Research paper on assessmet of sales potential of cloud-based mobility soluti...AMIT ZAWARE
 

Similar to I576670.pdf (20)

Social_Media_Optimization
Social_Media_OptimizationSocial_Media_Optimization
Social_Media_Optimization
 
DIGITAL MEDIA MARKETING IN INDIA Ajay 27-05-23 (1).pdf
DIGITAL MEDIA MARKETING IN INDIA Ajay 27-05-23 (1).pdfDIGITAL MEDIA MARKETING IN INDIA Ajay 27-05-23 (1).pdf
DIGITAL MEDIA MARKETING IN INDIA Ajay 27-05-23 (1).pdf
 
Mobile Business Intelligence Acceptance Model for Organisational Decision Making
Mobile Business Intelligence Acceptance Model for Organisational Decision MakingMobile Business Intelligence Acceptance Model for Organisational Decision Making
Mobile Business Intelligence Acceptance Model for Organisational Decision Making
 
0077777777777777
00777777777777770077777777777777
0077777777777777
 
Intelligent Shopping Recommender using Data Mining
Intelligent Shopping Recommender using Data MiningIntelligent Shopping Recommender using Data Mining
Intelligent Shopping Recommender using Data Mining
 
final MRP
final MRPfinal MRP
final MRP
 
G486972.pdf
G486972.pdfG486972.pdf
G486972.pdf
 
Arpit gupta 3.0
Arpit gupta   3.0Arpit gupta   3.0
Arpit gupta 3.0
 
Impact of digital marketing on consumer purchase behaviour
Impact of digital marketing on consumer purchase behaviourImpact of digital marketing on consumer purchase behaviour
Impact of digital marketing on consumer purchase behaviour
 
Best Practices For Building Your Mobile Applications - A Whitepaper by RapidV...
Best Practices For Building Your Mobile Applications - A Whitepaper by RapidV...Best Practices For Building Your Mobile Applications - A Whitepaper by RapidV...
Best Practices For Building Your Mobile Applications - A Whitepaper by RapidV...
 
PPT RAJIV ,KUMER 4567 (1).pptx
PPT RAJIV ,KUMER 4567 (1).pptxPPT RAJIV ,KUMER 4567 (1).pptx
PPT RAJIV ,KUMER 4567 (1).pptx
 
Analysis Of An Online Digital Marketing A Case Study
Analysis Of An Online Digital Marketing  A Case StudyAnalysis Of An Online Digital Marketing  A Case Study
Analysis Of An Online Digital Marketing A Case Study
 
Mobile Insights for 2014 J.Boye13 - Aarhus
Mobile Insights for 2014 J.Boye13 - AarhusMobile Insights for 2014 J.Boye13 - Aarhus
Mobile Insights for 2014 J.Boye13 - Aarhus
 
An empirical Study of In-App Advertising in Mobile Devices: Indian Scenario
An empirical Study of In-App Advertising in Mobile Devices: Indian ScenarioAn empirical Study of In-App Advertising in Mobile Devices: Indian Scenario
An empirical Study of In-App Advertising in Mobile Devices: Indian Scenario
 
Essay on internet marketing
Essay on internet marketingEssay on internet marketing
Essay on internet marketing
 
The Effect of Brand Image and Product Quality on Purchase Decision with Lifes...
The Effect of Brand Image and Product Quality on Purchase Decision with Lifes...The Effect of Brand Image and Product Quality on Purchase Decision with Lifes...
The Effect of Brand Image and Product Quality on Purchase Decision with Lifes...
 
Zoomy media international proposal
Zoomy media international proposalZoomy media international proposal
Zoomy media international proposal
 
Using data analytics to drive BI A case study
Using data analytics to drive BI A case studyUsing data analytics to drive BI A case study
Using data analytics to drive BI A case study
 
Yahoo! Business Case Analysis Essay
Yahoo! Business Case Analysis EssayYahoo! Business Case Analysis Essay
Yahoo! Business Case Analysis Essay
 
Research paper on assessmet of sales potential of cloud-based mobility soluti...
Research paper on assessmet of sales potential of cloud-based mobility soluti...Research paper on assessmet of sales potential of cloud-based mobility soluti...
Research paper on assessmet of sales potential of cloud-based mobility soluti...
 

More from aijbm

E582740.pdf
E582740.pdfE582740.pdf
E582740.pdfaijbm
 
A580108.pdf
A580108.pdfA580108.pdf
A580108.pdfaijbm
 
F584145.pdf
F584145.pdfF584145.pdf
F584145.pdfaijbm
 
B580914.pdf
B580914.pdfB580914.pdf
B580914.pdfaijbm
 
H585357.pdf
H585357.pdfH585357.pdf
H585357.pdfaijbm
 
G584652.pdf
G584652.pdfG584652.pdf
G584652.pdfaijbm
 
D582026.pdf
D582026.pdfD582026.pdf
D582026.pdfaijbm
 
C581519.pdf
C581519.pdfC581519.pdf
C581519.pdfaijbm
 
M5799113.pdf
M5799113.pdfM5799113.pdf
M5799113.pdfaijbm
 
O57120129.pdf
O57120129.pdfO57120129.pdf
O57120129.pdfaijbm
 
R57139145.pdf
R57139145.pdfR57139145.pdf
R57139145.pdfaijbm
 
J577177.pdf
J577177.pdfJ577177.pdf
J577177.pdfaijbm
 
Q57136138.pdf
Q57136138.pdfQ57136138.pdf
Q57136138.pdfaijbm
 
C572126.pdf
C572126.pdfC572126.pdf
C572126.pdfaijbm
 
F574050.pdf
F574050.pdfF574050.pdf
F574050.pdfaijbm
 
E573539.pdf
E573539.pdfE573539.pdf
E573539.pdfaijbm
 
S57146154.pdf
S57146154.pdfS57146154.pdf
S57146154.pdfaijbm
 
K577886.pdf
K577886.pdfK577886.pdf
K577886.pdfaijbm
 
L578798.pdf
L578798.pdfL578798.pdf
L578798.pdfaijbm
 
G575157.pdf
G575157.pdfG575157.pdf
G575157.pdfaijbm
 

More from aijbm (20)

E582740.pdf
E582740.pdfE582740.pdf
E582740.pdf
 
A580108.pdf
A580108.pdfA580108.pdf
A580108.pdf
 
F584145.pdf
F584145.pdfF584145.pdf
F584145.pdf
 
B580914.pdf
B580914.pdfB580914.pdf
B580914.pdf
 
H585357.pdf
H585357.pdfH585357.pdf
H585357.pdf
 
G584652.pdf
G584652.pdfG584652.pdf
G584652.pdf
 
D582026.pdf
D582026.pdfD582026.pdf
D582026.pdf
 
C581519.pdf
C581519.pdfC581519.pdf
C581519.pdf
 
M5799113.pdf
M5799113.pdfM5799113.pdf
M5799113.pdf
 
O57120129.pdf
O57120129.pdfO57120129.pdf
O57120129.pdf
 
R57139145.pdf
R57139145.pdfR57139145.pdf
R57139145.pdf
 
J577177.pdf
J577177.pdfJ577177.pdf
J577177.pdf
 
Q57136138.pdf
Q57136138.pdfQ57136138.pdf
Q57136138.pdf
 
C572126.pdf
C572126.pdfC572126.pdf
C572126.pdf
 
F574050.pdf
F574050.pdfF574050.pdf
F574050.pdf
 
E573539.pdf
E573539.pdfE573539.pdf
E573539.pdf
 
S57146154.pdf
S57146154.pdfS57146154.pdf
S57146154.pdf
 
K577886.pdf
K577886.pdfK577886.pdf
K577886.pdf
 
L578798.pdf
L578798.pdfL578798.pdf
L578798.pdf
 
G575157.pdf
G575157.pdfG575157.pdf
G575157.pdf
 

Recently uploaded

Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / NcrCall Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncrdollysharma2066
 
The CMO Survey - Highlights and Insights Report - Spring 2024
The CMO Survey - Highlights and Insights Report - Spring 2024The CMO Survey - Highlights and Insights Report - Spring 2024
The CMO Survey - Highlights and Insights Report - Spring 2024christinemoorman
 
Progress Report - Oracle Database Analyst Summit
Progress  Report - Oracle Database Analyst SummitProgress  Report - Oracle Database Analyst Summit
Progress Report - Oracle Database Analyst SummitHolger Mueller
 
BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,noida100girls
 
Catalogue ONG NUOC PPR DE NHAT .pdf
Catalogue ONG NUOC PPR DE NHAT      .pdfCatalogue ONG NUOC PPR DE NHAT      .pdf
Catalogue ONG NUOC PPR DE NHAT .pdfOrient Homes
 
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfIntro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfpollardmorgan
 
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...lizamodels9
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...lizamodels9
 
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In.../:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...lizamodels9
 
Call Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any TimeCall Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any Timedelhimodelshub1
 
Pitch Deck Teardown: NOQX's $200k Pre-seed deck
Pitch Deck Teardown: NOQX's $200k Pre-seed deckPitch Deck Teardown: NOQX's $200k Pre-seed deck
Pitch Deck Teardown: NOQX's $200k Pre-seed deckHajeJanKamps
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailAriel592675
 
Cash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call GirlsCash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call GirlsApsara Of India
 
RE Capital's Visionary Leadership under Newman Leech
RE Capital's Visionary Leadership under Newman LeechRE Capital's Visionary Leadership under Newman Leech
RE Capital's Visionary Leadership under Newman LeechNewman George Leech
 
Call Girls In ⇛⇛Chhatarpur⇚⇚. Brings Offer Delhi Contact Us 8377877756
Call Girls In ⇛⇛Chhatarpur⇚⇚. Brings Offer Delhi Contact Us 8377877756Call Girls In ⇛⇛Chhatarpur⇚⇚. Brings Offer Delhi Contact Us 8377877756
Call Girls In ⇛⇛Chhatarpur⇚⇚. Brings Offer Delhi Contact Us 8377877756dollysharma2066
 
Marketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet CreationsMarketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet Creationsnakalysalcedo61
 
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | DelhiFULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | DelhiMalviyaNagarCallGirl
 
Islamabad Escorts | Call 03274100048 | Escort Service in Islamabad
Islamabad Escorts | Call 03274100048 | Escort Service in IslamabadIslamabad Escorts | Call 03274100048 | Escort Service in Islamabad
Islamabad Escorts | Call 03274100048 | Escort Service in IslamabadAyesha Khan
 

Recently uploaded (20)

Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / NcrCall Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
 
The CMO Survey - Highlights and Insights Report - Spring 2024
The CMO Survey - Highlights and Insights Report - Spring 2024The CMO Survey - Highlights and Insights Report - Spring 2024
The CMO Survey - Highlights and Insights Report - Spring 2024
 
Progress Report - Oracle Database Analyst Summit
Progress  Report - Oracle Database Analyst SummitProgress  Report - Oracle Database Analyst Summit
Progress Report - Oracle Database Analyst Summit
 
BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
 
Best Practices for Implementing an External Recruiting Partnership
Best Practices for Implementing an External Recruiting PartnershipBest Practices for Implementing an External Recruiting Partnership
Best Practices for Implementing an External Recruiting Partnership
 
Catalogue ONG NUOC PPR DE NHAT .pdf
Catalogue ONG NUOC PPR DE NHAT      .pdfCatalogue ONG NUOC PPR DE NHAT      .pdf
Catalogue ONG NUOC PPR DE NHAT .pdf
 
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfIntro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
 
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Mehrauli Delhi 💯Call Us 🔝8264348440🔝
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
 
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In.../:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
 
Call Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any TimeCall Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any Time
 
Pitch Deck Teardown: NOQX's $200k Pre-seed deck
Pitch Deck Teardown: NOQX's $200k Pre-seed deckPitch Deck Teardown: NOQX's $200k Pre-seed deck
Pitch Deck Teardown: NOQX's $200k Pre-seed deck
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detail
 
Cash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call GirlsCash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call Girls
 
RE Capital's Visionary Leadership under Newman Leech
RE Capital's Visionary Leadership under Newman LeechRE Capital's Visionary Leadership under Newman Leech
RE Capital's Visionary Leadership under Newman Leech
 
Call Girls In ⇛⇛Chhatarpur⇚⇚. Brings Offer Delhi Contact Us 8377877756
Call Girls In ⇛⇛Chhatarpur⇚⇚. Brings Offer Delhi Contact Us 8377877756Call Girls In ⇛⇛Chhatarpur⇚⇚. Brings Offer Delhi Contact Us 8377877756
Call Girls In ⇛⇛Chhatarpur⇚⇚. Brings Offer Delhi Contact Us 8377877756
 
Marketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet CreationsMarketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet Creations
 
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | DelhiFULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
 
Islamabad Escorts | Call 03274100048 | Escort Service in Islamabad
Islamabad Escorts | Call 03274100048 | Escort Service in IslamabadIslamabad Escorts | Call 03274100048 | Escort Service in Islamabad
Islamabad Escorts | Call 03274100048 | Escort Service in Islamabad
 

I576670.pdf

  • 1. American International Journal of Business Management (AIJBM) ISSN- 2379-106X, www.aijbm.com Volume 5, Issue 07 (July-2022), PP 66-70 *Corresponding Author: Fransisca Andhika Dwi Vitorini1 www.aijbm.com 66 | Page Proposed Marketing Strategy to Improve Performance of Wifi.id Corner Indihome FransiscaAndhikaDwi Vitorini1 , HerryHudrasyah2 ,Nila Armelia3 1 School of Business and Management/ Bandung, Institute of Technology, Indonesia 2 School of Business and Management/ Bandung, Institute of Technology, Indonesia 3 School of Business and Management/ Bandung, Institute of Technology, Indonesia ABSTRACT : The Internet has become a daily need, so the ease of accessing the internet is important.PT Telkom Indonesia built a line of business that can realize this, its Wifi.id Corner in 2017. Accompanied by the vision and mission of the government of President Ir H Joko Widodo in distributing infrastructure development for the community in easy access to the internet. By realizing it, currently Wifi.id Corner has spread to 1000 points in Indonesia, including 38 points in the city of Bandung. In addition to providing convenience in accessing the internet, Wifi.id Corner also provides affordable voucher prices from IDR 5,000 to IDR 20,000. With the innovations that have been made, the vouchers sold from 2017 to 2021 have decreased. This can happen because of the direct and indirect impact of competitors. The external environmental analysis uses PESTEL, Porter's Five Forces, Consumer Analysis, and Competitor Analysis. The result of the analysis of the external environment is the discovery of opportunities and threats from the environment outside the company. Consumer analysis was carried out by distributing questionnaires to 156 respondents. The results of the analysis are processed using the SmartPLS software with the SEM-PLS method to measure the correlation between the variables used in this study which will then be used as material for the SWOT analysis. While the analysis of the internal environment is carried out using Segmenting, Targeting, and Positioning (STP) and 7P's Marketing Mix. The result of the analysis of the internal environment is the strengths and weaknesses of the Wifi.id Corner company are found. The SWOT analysis combines the results of the internal and external analysis of the company under study. Furthermore, the SWOT analysis is compiled into a TOWS matrix, which will be an alternative strategy used to increase Wifi sales.id Corner. KEYWORDS –Marketing strategy, SWOT, TOWS, Wifi.id Corner I. INTRODUCTION Nowadays, the internet has become a significant need in everyday life. The internet has a perfect role in helping the role of business, learning, communication, and other needs. To assist the community in fulfilling this role, PT Telkom come to provide convenience for its customers. Providing convenience in accessing the internet quickly and at an affordable is one of the goals of PT Telkom. Compared to today, Asia is the first continent in it’s contribution as the world's largest internet user, namely 53.4% with countries in 2021. This proves that the internet is clearly on its way to becoming an inseparable business too, communication and popular culture in various parts of the world. With a reasonably large percentage in Asian countries, Indonesia also participates highly in providing growth for internet use. It is proven by the results of the Internet penetration rate from 2017 to 2020 and predictions until 2026[1]. The predicted growth in internet usage until 2026 is quite significant. It is a concern, especially for companies in the telecommunications sector such as PT Telkom. In its vision, PT Telkom want to become the digital telecommunication of choice to empower the community. With all its efforts, PT Telkom strives to make it easier for everyone to access the internet for their needs. Such as building 1000 Wifi.idCorners in each area to provide convenient area for the community in accessing the internet with immediate needs and affordable prices. Fig.1 Wifi.id Corner Sales in 2021
  • 2. Proposed Marketing Strategy to Improve Performance of Wifi.id Corner Indihome *Corresponding Author: Fransisca Andhika Dwi Vitorini1 www.aijbm.com 67 | Page But in reality, Wifi.id Corner has faced several challenges that make the impact the sales in 2017 until 2021, specially in 2021. This revenue is a combination of consumers that bought vouchers by message to 98108 or buy vouchers on the spot. The revenue is decreasing from January 2021 until December 2021. The factors for the decline in sales can be caused by competitor factors such as cafes and working spaces that can be a place to replace customers when they need the internet. II. LITERATURE REVIEW Wifi.id Corner is built in 2017 andfocus to makes it easy to access the internet by providing several types of places, but with the same affordable voucher price. Wifi.id Corner has six types of building, it depends with the wide of the room. And Wifi.id Corner also has several payment methods that make it easier for consumer to buy the voucher. In order to know to evaluate the efforts that influence consumers, we have to measuring the purchase intention of the Wifi.id Corner. Purchase intention is the propensity of consumers to purchase a brand or take action linked to the purchase, which is measured by the probability that customers will make purchases [2]. In order to create purchase intention, it will measured with four indicators; brand awareness, product quality, product price, and atmosphere. The theory of reasoned action was developed to explain relatively simple activities for which behaviour prediction required simply the creation of an intention [3]. According to (Mostafa,2006) Brand awareness is the combination of information, experience, value and insight that is formed during customer-business transactions and exchanges[4]. Brand awareness consists of two components; brand delivers what it promises and brand has a name that we can trust [5]. Consumer of Wifi.id Corner has a lack of trust that brand delivers as it promises. The quality of a product is determined through comprehending and measuring the needs of the consumer. Purchase intentions refer to the evaluation of a product by a buyer following its consumption [6]. After utilizing a product, one's intention to make a purchase either grows or diminishes as a result of the product's direct influence [7]. Based on this case in Wifi.id Corner, when the strength of signal internet compared with competitors (Brewspace Café and Eduplex), the signal internet of Wifi.id Corner is still low.Based on their promise, they will give the internet speed of 100 Mbps, but in reality, the speed is not as much. According to Aaker (1996) the price has a significant impact on brand loyalty which in turn effects on customers purchase intention[8]. Wifi.id Corner has three types of price depends on the period of use. For period of use in 12 hours its IDR (In Indonesia Rupiah) 5000, seven days period of use in the price of IDR (In Indonesia Rupiah) 20.000, for 30 days period of use in the price of IDR (In Indonesia Rupiah) 50,000. Based on the consumer point of view, the price for Wifi.id Corner is affordable with the period of use that offered. Price is always one of the most influential aspects in the consumer decision-making process [9]. The atmosphere is the environmental design that employs visual communication, lighting, color, music, and odors to trigger the perceptual and emotional responses of customers in order to influence their buying behavior [10]. According to Berman and Evans, that the components of atmosphere are general exterior and general interior [11]. The general exterior consists of entrances, height and size of the building. Wifi.id Corner has a good exterior for some types, such as a entrance symbol, sign board, and size of the building. But for general interior, if it compared with competitors, Wifi.id Corner still in the below standard from their interior. An atmosphere is established by marketers in order to convey a sense of pleasure, delight, and contentment when completing a purchase [12]. III. RESEARCH METHOD This study is categorised as mixed methods research, qualitative and quantitative data. To identify internal analysis, this study use Segmenting, Targeting, and Positioning (STP), also Marketing Mix 7P’s. Researcher used qualitative data to be collected and analysed. To identify external analysis, this study use PESTLE, competitor analysis, consumer analysis, and Five Porter’s Force analysis, with quantitative and qualitative data. This quantitative method will show the significance of the variable and the correlation of the data with the method used. Most research is motivated by a desire to gain control over difficulties, worries, and disputes inside an organization or its surrounding environment. In other words, research often begins with the identification of a problem. The methodical strategy for developing knowledge to prevent fundamental and administrative issues [13]. IV. RESULT AND DISCUSSION According to the consumer analysis, this study use questionnaires to show the significance of the variable and the correlation of the data. The questionnaires distributed to 156 respondents, based on calculation
  • 3. Proposed Marketing Strategy to Improve Performance of Wifi.id Corner Indihome *Corresponding Author: Fransisca Andhika Dwi Vitorini1 www.aijbm.com 68 | Page of Slovin’s formula with 2.1 million population who actively use the internet. In measuring the questionnaire data using Structural Equation Modeling (SEM) and Partial Least Square (PLS) techniques. Fig.2 Path Model PLS Figure 1 shows the initial measurement model of all the variables tested in this study. The representation of the construct of this measurement model defines the relationship between latent variables and observed variables or indicators. This research use four variables to influenced the purchase intention; product price, product quality, brand awareness, and atmosphere. Table 1. Average Variance Extracted Based on Table.1, it can be concluded that all variable constructs have an AVE value above 0.50 as the recommended criteria. From the results of the discriminant validity test, it can be concluded that all latent variables are valid and reliable. Table 2. Reliability Test Variable Composite Reliability Cronbach's Alpha Description Brand Awareness 0,916 0,817 Reliable Product Quality 0,915 0,813 Reliable Atmosphere 0,959 0,955 Reliable Product Price 0,866 0,769 Reliable Purchase Intention 0,891 0,837 Reliable Based on Table 2., it shows that the value of the composite reliability test and Cronbach's alpha on each latent variable shows a value greater than 0.70. In other words, the indicators are consistent in this measurement. It is concluded that the indicators used in this study have met the reliability test. It can be concluded that all the variables tested have a good level of reliability and deserve to be analyzed. Table 3. R-Square Variable R-Square Purchase Intention 0,472 Table 3., shows that the R-square value for the Purchase Intention variable is obtained at 0.472. These results indicate that the Purchase Intention variable is explained by 47.2% by the Brand Awareness, Product Quality, Atmosphere and Product Price variables, based on the answers given by each respondent. Table 4. Q-Square Variable Q-Square Purchase Intention 0,294 Variable AVE Brand Awareness 0,845 Product Quality 0,843 Atmosphere 0,567 Product Price 0,683 Purchase Intention 0,672
  • 4. Proposed Marketing Strategy to Improve Performance of Wifi.id Corner Indihome *Corresponding Author: Fransisca Andhika Dwi Vitorini1 www.aijbm.com 69 | Page Based on Table 4.,shows that the results of predictive relevance are 0.294. It can be said that it fulfils the requirements as a research model that has predictive relevance because it is in accordance with the specified value, namely the value of 𝑄2 > 0 which explains that the model has predictive relevance. After researcher identifying the internal, external analysis of Wifi.id Corner and make the Strength, Weakness, Opportunity, and Threat (SWOT) analysis, the researcher propose marketing strategies regarding the business issue. The researcher proposed the marketing strategy in purpose to increase sales of Wifi.id Corner by creating TOWS analysis that will be used to determine the strategies. TOWS analysis used to analyses a firm from marketing and management-oriented perspective[14]. Table 5. TOWS Matrix Strength Weakness S.1 Have an affordable voucher price S.2 Has wide type variants from Wifi.id Corner S.3 Has many branches in Bandung S.4 Convenience in buying vouchers W.1 Electric plugs that are not many available W.2 Has not doing promotion optimally W.3 Consumer complaints are not well responded Opportunity S-O Strategies W-O Strategies O.1This business line supported by Government O.2 Perceived price from consumers are good O.3 Brand image from consumers are good SO.1 Maintain and make more insentive cooperation with government (S2,S3,O1,O3) SO.2 Built partnership with SEMs in Bandung (S1,S3,S4,O2,O3) SO.3 Does not change the price (S1,S3,S4,O2,O3) WO.1 Assigning human resource to the digital marketing specialist (W2,O3) WO.2 Focus on give a feedback with the complaints (W2,W3,O3) WO.3 Make the techical improvement (W1,W3,O1,O3) Threat S-T Strategies W-T Strategies T.1 Consumers sensitive to ambience of working space T.2 The strength of the internet signal didn't work optimally T.3 Consumers lost their stuff in the wifi corner T.4 Opening hours follow Telkom office operating hours T.5 Has not many available parking lot ST.1 Make the research and improvement to make the different ambience (S1,S2,S3,T1) ST.2 Improve the speed and strength of internet signal (S1,S2,S3,T2) ST.3 Install CCTV and training the security (S1,S2,S3,T3) ST.4 Make the special area parking lot for Wifi.id Corner's consumer in parking area (S1,S2,S3,T5) ST.5 Make a speciality opening hour for consumer in Wifi.id Corner (S1,S2,S3,T4) WT.1 Collaborating and make a space for local food (W2, T1,T4) WT.2 Prioritize to make the comfort atmosphere (W1,W3,T1,T2,T3,T5) As we can see in Table 5., there are several strategies that formulated in TOWS matrix, thirteen alternative strategies can be implemented by the company to develop its business. Even though, not all strategies can be implemented in one time, because: - Human resources must be prepared in advance to implement new marketing strategies. - The strategy that is not chosen at this time does not affect the company much or is not a priority that must be done at this time. - It takes a long time to realize the strategies that were not chosen V. CONCLUSION The results of the internal analysis and external analysis are then collected into a SWOT and TOWS matrix. To enhance sales, the corporation might employ thirteen distinct marketing methods. Based on the outcomes of discussions with the organization, three of the fourteen possible strategies were selected as those
  • 5. Proposed Marketing Strategy to Improve Performance of Wifi.id Corner Indihome *Corresponding Author: Fransisca Andhika Dwi Vitorini1 www.aijbm.com 70 | Page that the company can execute immediately. The organization choose the three strategies based on its thoughts. The strategies are using social media effectively, collaboration with Government and SMEs in Bandung, and make improvement and innovation in Wifi.id Corner ambience. ACKNOWLEDGEMENTS This paper is a core of the thesis with the entitled “Proposed Marketing Strategy to Improve Performance of Wifi.id Corner Indihome”, School of Business and Management, Bandung Institute of Technology, Indonesia. REFERENCES [1] Internet World Stats. (2021, March 31). Internet Users. Retrieved from www.internetworldstats.com [2] Keller, K. L. (1993). Conceptualizing, measuring, and managing customer-based brand equity. Journal of Market- ing, 57(January), 1–22. [3] Armitage, C. "Christian j, eds. From attitudes to behavior: Basic and applied research on the theory of planned behavior. New Brunswick." (2004). [4] Mostafa, M. M. (2007). Gender differences in Egyptian consumers? green purchase behaviour: The effects of environmental knowledge, concern and attitude. International Journal of Consumer Studies, 31(3), 220–229. https://doi.org/10.1111/j.1470-6431.2006.00523.x [5] Wang, X., & Yang, Z. (2010). The effect of brand credibility on consumers’ brand purchase intention in emerging economies: The moderating role of Brand Awareness and brand image. Journal of Global Marketing, 23(3), 177–188. https://doi.org/10.1080/08911762.2010.487419 [6] Rao, A. R., & Monroe, K. B. (1988). The moderating effect of prior knowledge on cue utilization in product evaluations. Journal of Consumer Research, 15(2), 253. https://doi.org/10.1086/209162 [7] Salman, M., & Naeem, U. (2015). The impact of consumer ethnocentrism on purchase intentions: Local Versus Foreign Brands. Lahore Journal of Business, 3(2), 17–34. https://doi.org/10.35536/ljb.2015.v3.i2.a2 [8] Aaker, D. (1996). Building Strong Brands. The Free Press, New York. [9] Yadav, R., & Pathak, G. S. (2017). Determinants of consumers' green purchase behavior in a developing nation: Applying and extending the theory of planned behavior. Ecological economics, 134, 114-122. [10] BUDIMAN, S., & DANANJOYO, R. (2021). The Effect of Cafe Atmosphere on Purchase Decision: Empirical Evidence from Generation Z in Indonesia. The Journal of Asian Finance, Economics and Business, 8(4), 483-490 [11] Berman and Evans, 2010. “Retail Management”. 12th Edition. Jakarta; Pearson. [12] Mowen, & Minor. (2008). Consumer Behavior (volume 2, 4thedition) Translation by DwiKartini Yahya. Jakarta: Erlangga. [Indonesian]. [13] Sekaran, U., & Bougie, R. (2016). In Research Methods for Business. Wiley. [14] James, Cadle, J., & Paul, D. (2014). Business Analysis Techniques. The Chartered Institute for IT.