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Journal : bit-Tech

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.
Comparison of Social Media Video Acceptance for Health Knowledge in Generation Z Using TAM Syawalina, Shanti Putri; Pratama, Arista; 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.v8i1.2509

Abstract

The development of information and communication technology has changed the way Generation Z accesses knowledge, with social media such as Instagram and TikTok being the main sources of information. However, challenges arise as health content is often mixed with entertainment content, making the validity of the information delivered difficult to ascertain. Therefore, an evaluation of both platforms is needed to assess their effectiveness and the benefits received by users. This study aims to evaluate the acceptability of videos as a source of health knowledge on Instagram and TikTok using the Technology Acceptance Model (TAM). The main focus was to identify factors that influence the acceptance of health video content and compare the effectiveness of the two platforms. Data was collected from 600 respondents through purposive sampling technique and analyzed using PLS-SEM method. The results showed that the majority of respondents preferred TikTok as a source of health information compared to Instagram. Content Richness affects Users Satisfaction. In addition, Flow State and Personal Innovativeness affect Perceived Ease of Use and Perceived Usefulness. These three variables also influence the acceptability of health video content on Instagram and TikTok. These findings suggest the importance of engaging and informative content to improve Generation Z's health knowledge.
Measuring User Satisfaction of iPusnas Through the End-User Computing Satisfaction Model Jannatuzzahra, Khoirunisa; Pratama, Arista; Faroqi, Asif
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.v8i1.2523

Abstract

iPusnas serves as Indonesia’s national digital library platform, offering free access to electronic books for the general public. This research aims to evaluate user satisfaction with the iPusnas application by employing the End-User Computing Satifactions (EUCS) model, which comprises five main constructs: content, acuracy, format, ease of use, and timelines, along with two additional dimensions—system speed and system reliability. The study involved 450 participants selected through purposive sampling. Data analysis was conducted using the Partial Least Squares Structural Equations Modeling (PLS-SEM) technique with the assistance of SmartPLS 4 software. The findings indicate that six variables—content, ease of use, format, accuracy, system speed, and system reliability—have a statistically significant and positive impact on user satisfaction. This suggests that a higher level of perceived quality in these six areas corresponds to greater satisfaction among users. On the other hand, timeliness was found to have a significant yet negative influence. These results suggest that delays in delivering content or in system responsiveness remain key issues that negatively affect user experience. Accordingly, this study recommends enhancing system performance, particularly in terms of timeliness to improve user satisfaction and the overall experience. Strengthening these areas is also anticipated to contribute to increased user engagement and further the national objective of expanding digital literacy and equitable knowledge access across the country.
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.
Evaluation of Student UX on E-Learning Web Using User Experience Questionnaire (UEQ) Darmawan, Akhmad Nabil; Faroqi, Asif; Pratama, Arista
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.v8i1.2860

Abstract

User Experience (UX) in E-Learning systems plays a critical role in fostering student engagement and improving learning effectiveness. Evaluating UX is essential to address challenges such as reduced learning motivation, poor navigation, and low interface appeal, all of which can hinder educational outcomes. This study aims to evaluate the UX of students using the E-Learning system at SMP Muhammadiyah 17 Surabaya by employing the User Experience Questionnaire (UEQ), which measures six dimensions: Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. A total of 180 students were selected using Slovin’s formula. Data were analyzed using the UEQ Data Analysis Tool (v10) through descriptive statistics and reliability testing (Cronbach’s alpha > 0.70). The results indicate that the dimensions of Attractiveness (M = 1.43), Efficiency (M = 1.35), Dependability (M = 1.43), and Stimulation (M = 1.34) received high scores and exceeded the average benchmark, indicating that the system is engaging, efficient, reliable, and motivating for users. The Perspicuity dimension (M = 1.42) was rated moderately high, though improvements are needed to better support the understanding of complex materials. In contrast, the Novelty dimension (M = 0.28) scored low, suggesting a lack of innovation and freshness in the interface. These findings highlight the pedagogical significance of UX in enhancing student engagement and online learning effectiveness. Developing more innovative features such as gamified elements or adaptive feedback is recommended to increase the appeal and sustained use of the E-Learning system in alignment with educational goals.