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Journal : bit-Tech

Evaluation of Watsons ID Application Adoption Among Generation Z Users: Applying the UTAUT2 Byanca Rebecca Yocelyn Sitompul; Anita Wulansari; Eristya Maya Safitri
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 Lintang Firdaus; Arista Pratama; Anita Wulansari
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 Muhammad Aldi Pratama; Arista Pratama; Anita Wulansari
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 Abrila Fatzali; Anita Wulansari; Eristya Maya Safitri
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.
Analyzing Mobile Banking User Experience Using the Modified HEART Metrics Framework Miftah Rahmaddani; Anita Wulansari; Rafika Rahmawati
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2898

Abstract

The rapid development of mobile banking services in Indonesia has facilitated digital financial transactions for the public. BLU by BCA Digital, a fully branchless banking innovation, has experienced significant user growth, yet continues to receive complaints regarding technical issues and unintuitive features raising concerns about the quality of its user experience (UX). This study analyzes the UX of the BLU application using a modified HEART Metrics framework, which includes five dimensions Happiness, Engagement, Adoption, Retention, and Task Success and incorporates an additional variable, Intention to Reuse, to better capture long-term user behavior. The integration of this variable, grounded in the Theory of Planned Behavior, enhances the framework by linking user satisfaction with behavioral intention. Data were collected from 476 active users through an online survey and analyzed using the Structural Equation Modeling Partial Least Square (SEM-PLS) method via SmartPLS 4. The results show that Happiness, Engagement, Adoption, and Task Success have a significant positive effect on users’ intention to reuse the application, while Retention does not. This suggests that task efficiency and emotional satisfaction play a more crucial role in sustaining user engagement than habitual usage alone. Additionally, Adoption was rated at the lower threshold of the “Good” category in the Goal-Signal-Metrics (GSM) analysis, indicating a need for better onboarding and first-time user experience. These findings offer theoretical contributions to UX measurement and provide practical insights for developers to enhance mobile banking applications and foster long-term user loyalty.
Evaluation of E-Learning Website Quality of Universitas Islam Majapahit Using Webqual 4.0 and IPA Nur Diniyanti; Anita Wulansari; Rafika Rahmawati
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3015

Abstract

The rapid development of digital technology in education requires higher education institutions to provide online learning systems that are effective, responsive, and user-oriented. The e-learning website of Universitas Islam Majapahit (UNIM) serves as the main platform supporting student learning activities, yet issues remain regarding response speed, information availability, and interface design. This study aims to evaluate the quality of UNIM’s e-learning website using the WebQual 4.0 model, modified by adding the User Interface Quality variable, and analyzed with the Importance Performance Analysis (IPA) method. Data were collected through a five-point Likert scale questionnaire involving 281 screened respondents. The findings indicate an average conformity level of 95%, yet several indicators reveal negative gap values, reflecting performance that has not met user expectations. Six indicators SIQ1, SIQ2, SIQ3, SIQ4, SIQ5, and UIQ2 were identified in Quadrant I, marking them as top priorities for improvement. The implications of this study highlight the need to enhance system responsiveness, service interaction quality, and interface usability to meet user expectations. Practically, the results provide guidance for improving the development of UNIM’s e-learning website, while theoretically, this study reinforces the applicability of the modified WebQual 4.0 as a comprehensive evaluation method for assessing the quality of online education services.
Evaluation of the POSKetanmu Website Using E-GovQual and Importance Performance Analysis (IPA) Nur Dinanita; Anita Wulansari; Rafika Rahmawati
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3016

Abstract

The rapid advancement of information and communication technology has driven governments to provide digital public services that are efficient, transparent, and user-centered. One such initiative is the POSKetanmu website developed by the Mojokerto Regency Population and Civil Registration Office, aimed at facilitating online processing of population documents. Despite its purpose, the platform still faces several challenges, including difficulties in understanding service procedures, lengthy account verification, and errors in document submission. This study evaluates the quality of the POSKetanmu website using the E-GovQual model, which consists of six dimensions: Ease of Use, Reliability, Trust, Functionality of the Interaction Environment, Information Content and Display, and Citizen Support. To determine service priorities, the Importance–Performance Analysis (IPA) method was employed. Data were collected from 391 valid respondents using a five-point Likert scale. The results reveal an average conformity level of 96% and an overall gap score of –0.17, indicating that performance lags slightly behind user expectations. Indicators located in Quadrant I, particularly RB1–RB4, EU1, and FI2, were identified as priority areas requiring immediate attention. These findings suggest that improvements in system reliability, interface navigation, and interactive features are essential. The integration of E-GovQual and IPA not only provides practical insights for policy-making but also offers a valuable framework for advancing digital government evaluation.
Analyzing User Acceptance Factors in Digital E-Ticketing Systems Using Extended UTAUT2 Framework Achmad Rafi Argya Rasya; Anita Wulansari; Eristya Maya Safitri
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3089

Abstract

Digital ticketing platforms are reshaping fan engagement in Indonesia’s football ecosystem. This study examines acceptance of PSSI’s Kita Garuda platform by testing how instrumental benefits (usefulness and ease), social cues, enjoyment, price value, and enabling conditions relate to users’ intention to keep using the service. We extend UTAUT2 with two well-motivated additions: Service Satisfaction, which captures whether the end-to-end experience meets expectations, and Psychological Discomfort, which indexes anxiety or unease when transacting online. Using survey data and Partial Least Squares Structural Equation Modeling with bootstrapping, we find that Performance Expectancy (t=4.58, p<0.001), Effort Expectancy (t=3.92, p<0.001), Hedonic Motivation (t=5.03, p<0.001), Price Value (t=4.20, p<0.001), and Social Influence (t=3.12, p=0.002) significantly predict continued intention, whereas Facilitating Conditions (t=1.45, p=0.144) and Habit (t=1.60, p=0.110) do not. Measurement quality met conventional thresholds (α≥0.85; CR>0.90; AVE>0.50). Service Satisfaction helps explain why benefits translate into ongoing use higher satisfaction strengthens the link between perceived benefits and intention (partial mediation). Psychological Discomfort weakens the positive association between intrinsic drivers especially enjoyment and intention (interaction significant, p<0.05). Results are robust to alternative specifications and item-deletion diagnostics; bootstrapped confidence intervals exclude zero across significant paths. Practical implications are clear: reduce sources of anxiety (transparent pricing, reliable payment and QR validation, responsive helpdesk), and invest in a seamless, enjoyable flow to elevate satisfaction and loyalty. By reporting effect magnitudes and significance, this study offers transparent account of drivers continued use for sports ticketing in an emerging market context and points to actionable levers for platform design and fan experience.