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Beyond Traditional Models: Integrating EUCS, SERVQUAL, and UEQ in SeaBank Nabilatulrahmah, Raihana; Lestarini, Dinda; Seprina, Iin; Wedhasmara, Ari; Hardiyanti, Dinna Yunika
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34297

Abstract

Research on digital banking satisfaction remains conceptually fragmented, as End-User Computing Satisfaction (EUCS), SERVQUAL, and User Experience Questionnaire (UEQ) reflect distinct evaluative paradigms that often produce inconsistent results when applied independently. This study develops and validates an integrated model capturing informational, service, system, and experiential determinants of satisfaction in a branchless digital banking context. Data from 212 active SeaBank users were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with a Two-Stage approach. The model explains 76.5% of the variance in user satisfaction. User experience is the strongest predictor, followed by system quality and information quality, while service quality is not statistically significant. The findings indicate an experience-centric evaluation structure, where affective and system-related factors outweigh traditional service dimensions. This study provides a unified empirical validation of EUCS, SERVQUAL, and UEQ, clarifying their hierarchical relationships and indicating the reduced relevance of service quality in fully digital environments. Practically, the results highlight the importance of UI/UX optimization, system reliability, and experiential design for enhancing user retention. The Gen Z-dominated sample and cross-sectional design limit broader generalization, suggesting the need for longitudinal and cross-context validation.
Analisis Sentimen Layanan Kesehatan Klinik Yamet Komentar Instagram Dengan Naive Bayes Reina Salsa Kinanty; Ari Wedhasmara; Rizka Dhini Kurnia
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9394

Abstract

The rapid advancement of information technology has driven the healthcare sector to adopt digital platforms in order to enhance service efficiency and accessibility. Yamet Clinic Palembang, as a therapy center for children with special needs, has utilized social media as its primary communication channel, although its official website has not yet been fully optimized. The main issue addressed in this study is the lack of understanding regarding public perception of the clinic’s digital services. Therefore, this research aims to analyze public sentiment toward Yamet Clinic Palembang’s services through comments posted on its official Instagram account. The Naïve Bayes algorithm was selected due to its strong performance in text classification tasks involving limited datasets and low computational complexity. The research process includes text preprocessing, feature weighting using Term Frequency–Inverse Document Frequency (TF-IDF), and the application of the Synthetic Minority Over-sampling Technique (SMOTE) to balance data distribution among sentiment categories. The experimental results indicate that the developed model successfully classified public opinions into three categories—positive, neutral, and negative—with an accuracy rate of 70%. The combination of TF-IDF, Naïve Bayes, and SMOTE proved effective in capturing public perceptions of digital health services. Practically, the findings provide valuable insights for Yamet Clinic Palembang in developing a more adaptive digital communication strategy and theoretically contribute to the advancement of sentiment analysis research within the healthcare service context in Indonesia.
Analysis of User Satisfaction Levels in the Shopee PayLater System using the User Experience Questionnaire (UEQ) Aliyah Khofifah; Apriansyah Putra; Ari Wedhasmara; Mira Afrina
Sistemasi: Jurnal Sistem Informasi Vol 15, No 5 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i5.6461

Abstract

The rapid advancement of information technology in the digital era has triggered significant changes across various aspects of life, including the e-commerce sector. This study aims to analyze the level of user satisfaction with the Shopee PayLater system using the User Experience Questionnaire (UEQ) method. The research was motivated by the increasing use of PayLater services in e-commerce and the importance of evaluating user experience to improve system quality. This study employed a quantitative method using the User Experience Questionnaire (UEQ) approach, which consists of six dimensions: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty. Data were collected through questionnaires distributed to 100 students from the Faculty of Computer Science at Sriwijaya University and analyzed using the UEQ Data Analysis Tools. The results indicate that Shopee PayLater achieved positive user satisfaction across all UEQ dimensions. The highest scores were obtained in perspicuity (2.03), efficiency (1.89), dependability (1.89), and attractiveness (1.66), indicating that Shopee PayLater is easy to understand, efficient to use, and capable of providing user comfort. Meanwhile, the stimulation (1.65) and novelty (1.56) dimensions still require improvement through feature development and service innovation to create a more engaging user experience. In addition, the benchmark results show that all dimensions fall within the excellent category and are included in the top 10% of benchmark results, indicating a very high-quality user experience. Based on these findings, it can be concluded that Shopee PayLater provides an excellent user experience overall. However, the stimulation and novelty aspects still need enhancement through feature innovation and interface improvements to make the service more attractive and less monotonous for users.