ANALISIS FAKTOR PENENTU SIKAP DAN NIAT PERILAKU UNTUK MENGGUNAKAN APLIKASI KEDAI KOPI LOKAL DI JAKARTA

Authors

  • Ilham Dwi Pamungkas Universitas Negeri Jakarta
  • Usep Suhud Universitas Negeri Jakarta
  • Adnan Kasofi Universitas Negeri Jakarta

DOI:

https://doi.org/10.53067/ijebef.v5i2.257

Keywords:

Social Influence, Perceived Ease of Use, System Quality, Attitude, Behavioral Intention to Use, Mobile Application, Technology Acceptance.

Abstract

This study aims to analyze and examine the factors that influence attitude and behavioral intention to use local coffee shop applications in Jakarta. The research method used is a quantitative approach through the distribution of questionnaires. The sampling technique employed is purposive sampling, resulting in a total of 309 respondents. The population in this study consists of consumers who use the Tomoro Coffee application and reside in the DKI Jakarta area. This research utilizes SPSS version 27 and SEM (Structural Equation Modeling) with the AMOS software to analyze and process the data. The results of this study show the following: First, social influence, perceived ease of use, and system quality have a positive and significant effect on attitude. Second, perceived ease of use and attitude have a positive and significant effect on behavioral intention to use. Third, social influence and system quality do not have a direct effect on behavioral intention to use. The implications of this research offer new perspectives on the factors that influence users' intention to use local coffee shop applications, which can serve as practical references for app developers and tech companies in formulating product development strategies and enhancing user experience.

Downloads

Download data is not yet available.

References

Akbar, G. G., Muchtar, Aji Abdul Wahid, Ikeu Kania, Annisa Deliana Putri, & Dini Turipanam Alamanda. (2023). Applying UTAUT Model to Understand Use of Behavior Health Applications User in Indonesia During the COVID-19. Jurnal Ilmu Administrasi: Media Pengembangan Ilmu Dan Praktek Administrasi, 20(1), 29–45. https://doi.org/10.31113/jia.v20i1.900

Alduais, F., & Al-Smadi, M. O. (2022). Intention to Use E-Payments from the Perspective of the Unified Theory of Acceptance and Use of Technology (UTAUT): Evidence from Yemen. Economies, 10(10), 259. https://doi.org/10.3390/economies10100259

Alismaiel, O. A., Cifuentes-Faura, J., & Al-Rahmi, W. M. (2022). Social Media Technologies Used for Education: An Empirical Study on TAM Model During the COVID-19 Pandemic. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.882831

Alkhawaja, M. I., Halim, M. S. A., Abumandil, M. S. S., & Al-Adwan, A. S. (2022). System Quality and Student’s Acceptance of the E-learning System: The Serial Mediation of Perceived Usefulness and Intention to Use. Contemporary Educational Technology, 14(2). https://doi.org/10.30935/CEDTECH/11525

Alkhowaiter, W. A. (2022). Use And Behavioural Intention of M-Payment in GCC Countries: Extending Meta-UTAUT with Trust and Islamic Religiosity. Journal of Innovation & Knowledge, 7(4), 100240. https://doi.org/10.1016/j.jik.2022.100240

Almaiah, M. A., Al-Otaibi, S., Shishakly, R., Hassan, L., Lutfi, A., Alrawad, M., Qatawneh, M., & Alghanam, O. A. (2023). Investigating the Role of Perceived Risk, Perceived Security and Perceived Trust on Smart m-Banking Application Using SEM. Sustainability, 15(13), 9908. https://doi.org/10.3390/su15139908

Almajali, D. A., Masa’Deh, R., & Dahalin, Z. M. d. (2022). Factors Influencing The Adoption of Cryptocurrency in Jordan: An Application of the Extended TRA Model. Cogent Social Sciences, 8(1). https://doi.org/10.1080/23311886.2022.2103901

Almazroi, A. A., Mohammed, F., Al-Kumaim, N. H., & Hoque, M. R. (2022). An Empirical Study of Factors Influencing E-Health Services Adoption Among Public in Saudi Arabia. Health Informatics Journal, 28(2). https://doi.org/10.1177/14604582221102316

Al-Rahmi, A. M., Shamsuddin, A., Alturki, U., Aldraiweesh, A., Yusof, F. M., Al-Rahmi, W. M., & Aljeraiwi, A. A. (2021). The Influence of Information System Success and Technology Acceptance Model on Social Media Factors in Education. Sustainability, 13(14), 7770. https://doi.org/10.3390/su13147770

Amirudin, A., Inoue, C., & Grause, G. (2023). Assessment Of Factors Influencing Indonesian Residents’ Intention to Use A Deposit–Refund Scheme for PET Bottle Waste. Circular Economy, 2(4), 100061. https://doi.org/10.1016/j.cec.2023.100061

An, S., Eck, T., & Yim, H. (2023). Understanding Consumers’ Acceptance Intention to Use Mobile Food Delivery Applications through an Extended Technology Acceptance Model. Sustainability, 15(1), 832. https://doi.org/10.3390/su15010832

Ba, S., He, S., & Lee, S. (2022). Mobile App Adoption and Its Differential Impact on Consumer Shopping Behavior. Production and Operations Management, 31(2), 764–780. https://doi.org/10.1111/poms.13577

Basuki, R., Tarigan, Z. J. H., Siagian, H., Limanta, L. S., Setiawan, D., & Mochtar, J. (2022). The Effects of Perceived Ease of Use, Usefulness, Enjoyment and Intention to Use Online Platforms on Behavioral Intention in Online Movie Watching During the Pandemic Era. International Journal of Data and Network Science, 6(1), 253–262. https://doi.org/10.5267/j.ijdns.2021.9.003

Berita Resmi Statistik. (2025).

Cantika, T. (2024, June 21). Tren Online Food Delivery di Kalangan Gen Z. Kompasiana.

Chen, L., Jia, J., & Wu, C. (2023). Factors Influencing the Behavioral Intention to Use Contactless Financial Services in the Banking Industry: An Application and Extension Of UTAUT Model. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1096709

Chen, Y., & Ryu, M. H. (2024). Chinese Consumers’ Attitudes toward and Intentions to Continue Using Skill-Sharing Service Platforms. Behavioral Sciences, 14(9), 765. https://doi.org/10.3390/bs14090765

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008

Dinh, C.-M., & Park, S. (2024). How to Increase Consumer Intention to Use Chatbots? An Empirical Analysis of Hedonic and Utilitarian Motivations on Social Presence and the Moderating Effects of Fear Across Generations. Electronic Commerce Research, 24(4), 2427–2467. https://doi.org/10.1007/s10660-022-09662-5

Faruq, M. A. A., Bassalamah, M. R., Sudaryanti, D., & Azizah, N. N. (2023). Hedonic Values and Utilitarian Values to Improve Behavioral Intentions and Consumer Satisfaction on Product. Aptisi Transactions on Technopreneurship (ATT), 5(3), 319–333. https://doi.org/10.34306/att.v5i3.345

Fuchs, K. (2022). Using An Extended Technology Acceptance Model to Determine Students’ Behavioral Intentions Toward Smartphone Technology in the Classroom. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.972338

Giandi, O., Irawan, I., & Ambarwati, R. (2020). Determinants of Behavior Intention and Use Behavior among Bukalapak’s Consumers. IPTEK The Journal for Technology and Science, 31(2), 158. https://doi.org/10.12962/j20882033.v31i2.5585

Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer Nature.

Hasan, S., Godhuli, E. R., Rahman, M. S., & Mamun, M. A. Al. (2023). The Adoption of Conversational Assistants in the Banking Industry: Is the Perceived Risk a Moderator? Heliyon, 9(9), e20220. https://doi.org/10.1016/j.heliyon.2023.e20220

Huang, F., Sánchez-Prieto, J. C., Teo, T., García-Peñalvo, F. J., Olmos-Migueláñez, S., & Zhao, C. (2021). A Cross-Cultural Study on the Influence of Cultural Values and Teacher Beliefs on University Teachers’ Information and Communications Technology Acceptance. Educational Technology Research and Development, 69(2), 1271–1297. https://doi.org/10.1007/s11423-021-09941-2

Jang, M. (2023). Why Do People Use Telemedicine Apps in the Post-COVID-19 Era? Expanded TAM with E-Health Literacy and Social Influence. Informatics, 10(4), 85. https://doi.org/10.3390/informatics10040085

Keni, K. (2020). How Perceived Usefulness and Perceived Ease of Use Affecting Intent to Repurchase? Jurnal Manajemen, 24(3), 481. https://doi.org/10.24912/jm.v24i3.680

Kumar, J. A., Bervell, B., Annamalai, N., & Osman, S. (2020). Behavioral Intention to Use Mobile Learning: Evaluating the Role of Self-Efficacy, Subjective Norm, and WhatsApp Use Habit. IEEE Access, 8, 208058–208074. https://doi.org/10.1109/ACCESS.2020.3037925

Lim, W. M. (2022). Toward a Theory of Social Influence in the New Normal. Activities, Adaptation & Aging, 46(1), 1–8. https://doi.org/10.1080/01924788.2022.2031165

Luo, J., Ahmad, S. F., Alyaemeni, A., Ou, Y., Irshad, M., Alyafi-Alzahri, R., Alsanie, G., & Unnisa, S. T. (2024). Role of perceived ease of use, usefulness, and financial strength on the adoption of health information systems: the moderating role of hospital size. Humanities and Social Sciences Communications, 11(1), 516. https://doi.org/10.1057/s41599-024-02976-9

Mailizar, M., Burg, D., & Maulina, S. (2021). Examining University Students’ Behavioural Intention to Use E-Learning During the COVID-19 Pandemic: An Extended TAM Model. Education and Information Technologies, 26(6), 7057–7077. https://doi.org/10.1007/s10639-021-10557-5

Mariana, N., Nugroho, I., Saefurrohman, S., & Utomo, A. P. (2023). The Impact of System and Information Quality on User Satisfaction and Continuance Intention: An Analysis of Online Motorcycle Taxi (Ojek-Online) Applications. Scientific Journal of Informatics, 10(2). https://doi.org/10.15294/sji.v10i2.43830

Mata, M., Ancheta, R., Batucan, G., & Gonzales, G. G. (2024). Exploring technology acceptance model with system characteristics to investigate sustainable building information modeling adoption in the architecture, engineering, and construction industry: The case of the Philippines. Social Sciences & Humanities Open, 10, 100967. https://doi.org/10.1016/j.ssaho.2024.100967

Momentum Works. (2024). Food delivery platforms in Southeast Asia 2024. https://momentum.asia/product/food-delivery-platforms-in-sea-2024/

Nur, T., & Panggabean, R. R. (2021). Factors influencing the adoption of mobile payment method among generation Z: the extended UTAUT approach. Nur, T. and Panggabean, RR, 14–28.

Nur, T., & Ria Panggabean, R. (2021). Factors Influencing the Adoption of Mobile Payment Method among Generation Z: the Extended UTAUT Approach. In Journal of Accounting Research (Vol. 4, Issue 1). www/http/jurnal.unsyiah.ac.id/JAROE

Peng, M. Y. P., & Yan, X. (2022). Exploring the Influence of Determinants on Behavior Intention to Use of Multiple Media Kiosks Through Technology Readiness and Acceptance Model. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.852394

Pitafi, A. H., & Ali, A. (2023). An empirical investigation on actual usage of educational app: Based on quality dimensions and mobile self-efficacy. Heliyon, 9(9), e19284. https://doi.org/10.1016/j.heliyon.2023.e19284

Qin, Y., Omar, B., & Musetti, A. (2022). The addiction behavior of short-form video app TikTok: The information quality and system quality perspective. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.932805

Racero, F. J., Bueno, S., & Gallego, M. D. (2020). Predicting Students’ Behavioral Intention to Use Open-Source Software: A Combined View of the Technology Acceptance Model and Self-Determination Theory. Applied Sciences, 10(8), 2711. https://doi.org/10.3390/app10082711

Rahman, M. S., Sabbir, M. M., Zhang, J., Moral, I. H., & Hossain, G. M. S. (2023). Examining students’ intention to use ChatGPT: Does trust matter? Australasian Journal of Educational Technology, 39(6), 51–71.

Silva, R., Rodrigues, R., & Leal, C. (2021). Social Factors Influence on Accounting Students Attitude to Use Games Based Learning. In The Role of Gamification in Software Development Lifecycle. IntechOpen. https://doi.org/10.5772/intechopen.95430

Soehandoko, J. G. (2021, December 13). Peluang Bisnis Kopi Grab-and-Go di Indonesia Masih Terbuka Luas. Bisnis.Com.

Spears, R. (2025). Annual Review of Psychology Social Influence and Group Identity. Downloaded from Www.Annualreviews.Org. Guest (Guest, 16, 12. https://doi.org/10.1146/annurev-psych-070620

United States Department of Agriculture. (2024). Coffee: World Markets and Trade. https://www.fas.usda.gov/sites/default/files/2024-08/coffee.pdf

Wicaksono, A., & Maharani, A. (2020). The Effect of Perceived Usefulness and Perceived Ease of Use on the Technology Acceptance Model to Use Online Travel Agency. Journal of Business Management Review, 1(5), 313–328. https://doi.org/10.47153/jbmr15.502020

Wong, L. C., Tiong, Y. Y., Tee, P. K., & Chan, B. Y. F. (2023). EXPLORING A TRICOMPONENT ATTITUDE MODEL FOR THE APPLICATION OF “FORCED” ONLINE LEARNING IN THE POST-COVID ERA. Malaysian Journal of Learning and Instruction, 20(2), 233–266. https://doi.org/10.32890/mjli2023.20.2.2

Xiao, P., Sun, Y., Chen, Y., & Wang, X. (2024). Influence of platform satisfaction on the willingness to use a new platform. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-79085-9

Yang, X., Tseng, Y., & Lee, B. (2021). Merging the Social Influence Theory and the Goal-Framing Theory to Understand Consumers’ Green Purchasing Behavior: Does the Level of Sensitivity to Climate Change Really Matter? Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.766754

Yu, Z., & Huang, Y. (2022). The Influencing Factors of Users’ Attitudes and Continuance Intention for Olympic Viewing on Mobile Applications in China. Systems, 10(5), 190. https://doi.org/10.3390/systems10050190

Zhang, Y., Song, X., Tao, P., Li, H., Zhan, T., & Cao, Q. (2023). Investigating Factors for Travelers’ Parking Behavior Intentions in Changchun, China, under the Influence of Smart Parking Systems. Sustainability, 15(15), 11685. https://doi.org/10.3390/su151511685

Downloads

Published

2025-08-04

How to Cite

Pamungkas, I. D. ., Suhud, U., & Kasofi, A. (2025). ANALISIS FAKTOR PENENTU SIKAP DAN NIAT PERILAKU UNTUK MENGGUNAKAN APLIKASI KEDAI KOPI LOKAL DI JAKARTA. Indonesian Journal of Economy, Business, Entrepreneuship and Finance, 5(2), 373–389. https://doi.org/10.53067/ijebef.v5i2.257