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Journal : bit-Tech

Evaluation of Watsons ID Application Adoption Among Generation Z Users: Applying the UTAUT2 Sitompul, Byanca Rebecca Yocelyn; Wulansari, Anita; Safitri, Eristya Maya
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2405

Abstract

The rapid advancement of digital technology has significantly transformed the retail landscape, particularly within the beauty and health e-commerce sector. In response to this shift, the Watsons ID application was developed to provide a fast, convenient, and feature-rich platform for online shopping. This study examines how Generation Z consumers in Indonesia adopt and use the Watsons ID application by applying the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. A quantitative approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM), with data collected from 410 respondents through purposive sampling. The research specifically targeted Indonesian Generation Z users who have experience with the Watsons ID application. The findings indicate that Performance Expectancy, Social Influence, Price Value, and Habit have a significant positive impact on users' intention to use the application. Furthermore, Habit and Behavioral Intention positively influence actual usage behavior. Conversely, Effort Expectancy and Facilitating Conditions do not show a significant effect on Behavioral Intention, and Facilitating Conditions also do not affect Use Behavior. These insights provide valuable guidance for e-commerce developers and beauty retailers seeking to optimize digital strategies, enhance user experience, and strengthen customer engagement specifically targeted toward Generation Z consumers in the Indonesian market.
Evaluating the Success of the Mobile JKN Application through the DeLone & McLean Framework Firdaus, Lintang; Pratama, Arista; Wulansari, Anita
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2501

Abstract

The JKN mobile app is a digital platform developed by BPJS Kesehatan to help users access information and manage their membership independently. This research assesses the effectiveness of the application by employing the framework developed by DeLone and McLean, which includes aspects such as the quality of the system, the quality of information, the quality of service, and the intention to use, User Contentment, and Overall Gains. A quantitative approach was used, applying PLS-SEM for data analysis. Based on the Lemeshow formula, the minimum sample size was 384, and 400 active users of the latest app version participated. The analysis was conducted utilizing SmartPLS 4. Results show that the quality of the system and the quality of the information significantly influence user contentment and their inclination to participate. Thus, user contentment is essential in determining the perceived overall advantages. The study indicates that the app's success is more influenced by technical performance and user experience rather than service quality. This highlights the need to improve system reliability, interface usability, and information accuracy. Users tend to value fast access and functionality over support services. Continuous improvement in these areas can help increase satisfaction and long-term usage. The findings suggest that focusing on user-centered design and regular updates will strengthen digital health engagement. These insights can also serve as guidance for similar e-health initiatives in developing countries.
Analysis of Ajaib Application Acceptance Using the UTAUT 2 Model Pratama, Muhammad Aldi; Pratama, Arista; Wulansari, Anita
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2619

Abstract

The rapid advancement of digital technology has greatly expanded investment platforms, especially in the stock and mutual fund sectors. The Ajaib application facilitates easy mobile investing while offering tools and educational resources to help users understand financial markets. This study examines the factors influencing the adoption of Ajaib, utilizing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. A quantitative approach using Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to analyze data from 400 active Ajaib users. The results reveal that Performance Expectancy, hedonic motivation, price value, social influence, and enabling conditions positively affect adoption. However, Trust and Effort Expectancy were found to have no significant impact on adoption decisions. This suggests that users prioritize the app's performance, social influence, and user experience over trust or ease of use. The study was conducted in Indonesia's fintech market, focusing on the behaviors of Indonesian users. While the findings provide valuable insights into adoption in emerging markets, their generalizability may be limited by socio-economic or cultural differences. Future research should examine demographic factors such as income, age, and education to better understand adoption patterns in various contexts.
Analysis of Factors Influencing the Acceptance of Riliv Application Using UTAUT2 Fatzali, Abrila; Wulansari, Anita; Safitri, Eristya Maya
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2639

Abstract

The rapid growth of digital technologies has enabled the emergence of online counseling services as alternative solutions for addressing mental health issues. Riliv is one such platform that provides digital psychological support through professional consultations, guided meditation, and journaling features. However, few studies have applied the UTAUT2 model to examine user acceptance of such platforms within the Indonesian context. This research addresses that gap by extending the UTAUT2 model with three additional constructs: e-health literacy, privacy concern, and trust. A quantitative approach was employed through a structured survey of 400 participants, with data analyzed using SEM-PLS. The findings indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, privacy concern, and trust significantly influence users’ behavioral intention to adopt Riliv. Interestingly, price value and e-health literacy were found to be insignificant, suggesting that users may place greater emphasis on emotional safety and social dynamics than on financial or informational aspects when choosing mental health platforms. Moreover, while performance expectancy is often a key predictor in technology adoption, it may be less dominant in emotionally driven contexts such as mental health. The extended UTAUT2 model proved effective in predicting user acceptance, confirming its relevance for evaluating digital mental health services in Indonesia. These insights emphasize the importance of building trust, ensuring privacy, and fostering a socially supportive, user-friendly experience. Collaboration between developers and mental health professionals is crucial to aligning technological design with user expectations and emotional needs.
Co-Authors 'Uyun, Khurrotul Adelia Sefri Larasati Adi Suryaputra, Bagus Adiyono, Bagus Dwi Putra Agussalim, Agussalim Al Abiyyi, M Faiq Alief, Muhammad Dian Nur Alifansa, Dimas Mirza Amalia, Indira Setia Ananda Setya Nugroho, Adi Anggoro, M. Novianto Aprillia Putri, Lintang Arumdapta, Gemintang Aqsa Arya Bhisma, Vishnu Asif Faroqi Astuti Triana, Nani Aurabillah, Bilqis Bagus Sutigar, Moh. Bayu Billah, Mu'tasim Carolina, Hennika Citra Fadhlilla, Novia Daffa Maulana, Teduh Devi, Ditha Lozera Dinda Mega Savitri Fahrezi, Michael Fakhira Ardini, Ayu Faradillah, Safna Farhan, Farrel Farizd, Mohammad Fatzali, Abrila Febriani, Dewi Sinta Firdaus, Lintang Fitri Ana Wati, Seftin Hanifa, Fatya Ida Ayu Putu Sri Widnyani Immah Inayati, Immah Irmansyah, Dimas Kamila, Alifia Nur Kusumaningayu, Apriliana Pramesinta Laksono, Cindy Fitri Latipah, Latipah Lokatara, Beryl Ardhana Maulana, Ribas Satria Maya Safitri , Eristya Maya Safitri, Eristya Mohamad Iqbal Noval Firmansyah, Adrian Nugraha, Rizky Ilman Nur Rahma, Syarifah Nurcahyani, Anisa Praditya A.N, M Ilham Prapanca, Juniar Sandra Pratama, Arista Pratama, Muhammad Aldi Putri, Callista Harnit Rabbani, Alfatur Rafli Alfarisqi, Muhammad Rahmah, Safina Nur RAHMAWATI, NADIA ERINNA Rama Febrianto, Adhe Ramdhani, Moch. Abdillah Emha Ridwandono, Doddy Robawa, Rizki Setyo Putro Safitri, Eristya Maya Saputra, Mohamad Ivan Setiabudhi, Adimas Syiraa Setiya Ratih, Dini Sinaga, Dwianna Sitompul, Byanca Rebecca Yocelyn Sitompul, Enjeliana Tiara Rahayu Ada, Sesilia Tri Puspa Rinjeni Vergie Sopaheluwakan, Brilliant Wahyuni, Eka Dyar Widya Pratiwi Wuryanto, Kevin Yohanes