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Journal : bit-Tech

Applying Importance-Performance Analysis to Identify Strategic Factors Enhancing User Satisfaction in Dana Adibah Dewi Satriani; Asif Faroqi; Tri Puspa Rinjeni
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.v8i1.2629

Abstract

The use of digital wallets in Indonesia has grown significantly alongside increasing public demand for fast, secure, and practical financial transactions. One of the widely used applications is Dana. However, user satisfaction with its services still requires a comprehensive evaluation to ensure continued usage. This study aims to measure and analyze user satisfaction with the Dana application by integrating the End User Computing Satisfaction (EUCS) model and the Importance-Performance Analysis (IPA) method. This research employed a quantitative approach by distributing online questionnaires to 403 respondents. The research instrument was tested for validity and reliability, and the data were analyzed using IPA to map service attributes based on their perceived importance and performance. The results show that attributes such as system security, content completeness, and information accuracy fall into the high-priority quadrant (Quadrant I), indicating that they are highly important but currently underperforming. Meanwhile, attributes like content format and timeliness meet user expectations and should be maintained. The study concludes that Dana’s development team should prioritize improvements in the aspects that most significantly affect user satisfaction. These findings are expected to serve as a strategic foundation for decision-making in enhancing service quality, while also contributing to the academic literature on evaluating digital financial applications.
Analysis of User Acceptance of Police Service Application Based on the UMEGA Model Alamsyah, Arya Hafidz; Faroqi, Asif; Rinjeni, Tri Puspa
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3419

Abstract

Digitization of police services has become an essential component in improving the quality and responsiveness of public services. However, the adoption rate of the Polri Super App remains suboptimal, indicating challenges in user acceptance that cannot be fully explained by the core constructs of the UMEGA model. This condition highlights the need for an analytical approach that incorporates institutional factors, service quality, and public trust. This study explicitly contributes by expanding the UMEGA model through the integration of institutional capacity, information quality, service quality, and multidimensional trust, offering a more comprehensive framework for understanding digital policing adoption. A quantitative survey was conducted involving 432 respondents who had used the National Police Super App within the last six months. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) to assess construct validity, reliability, and structural relationships among variables. The results show that performance expectancy, information quality, service quality, computer self-efficacy, attitude, and trust significantly influence users’ intentions and actual usage behavior, while perceived risk and facilitating conditions show no significant effect. These findings indicate that institutional quality, information accuracy, and public trust play dominant roles in shaping user acceptance. Practically, the results provide guidance for policymakers to strengthen digital policing services through improved service reliability, enhanced data transparency, and targeted user capability support. The study concludes that expanding the UMEGA model offers a more complete understanding of digital policing service adoption and provides an empirical basis for improving the quality and sustainability of technology-based public services.