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All Journal JUSIFO : Jurnal Sistem Informasi
Ratna Juita
Department of Informatics, Universitas Papua

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Determinants of User Satisfaction with a Mobile Application Using the Extended Webqual 4.0 Method and Structural Equation Modelling: A Case of the PLN Mobile Application Andi Saputra; Dedi I. Inan; Ratna Juita; Marlinda Sanglise; Muhamad Indra
JUSIFO : Jurnal Sistem Informasi Vol 10 No 1 (2024): JUSIFO (Jurnal Sistem Informasi) | June 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i1.23051

Abstract

In the era of rapid technological growth, people increasingly expect convenience in all aspects of life, including how they interact with public services. The PLN Mobile application, developed by PT PLN (Persero), aims to facilitate access to information and services for the community. However, many users have provided low ratings and negative feedback. The purpose of this research is to analyze the factors influencing user satisfaction with the PLN Mobile application, using the Webqual 4.0 method. A total of 101 respondents were selected using a purposive sampling technique, and the data were analyzed using Structural Equation Modeling (SEM). The findings reveal that Usability, System Quality, Information Quality, and Interaction Quality significantly affect user satisfaction, while Service Quality does not. This indicates that the application meets most user expectations, though there is still potential for further improvement. These findings offer theoretical contributions to the Webqual 4.0 method and practical insights for developers to enhance the application and improve user satisfaction.
Does Economic Motivation Determine the Continuance of Social Media Use? A Technology Continuance Theory Perspective: A Case of Facebook Fidelia Serli Korey; Dedi Iskandar Inan; Ratna Juita; Muhamad Indra
JUSIFO : Jurnal Sistem Informasi Vol 11 No 1 (2025): JUSIFO (Jurnal Sistem Informasi) | June 2025
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v11i1.27438

Abstract

This study investigates whether economic motivation—specifically through the Facebook Reels monetization feature “Stars”—significantly influences users’ continued engagement with the platform. Drawing on Technology Continuance Theory (TCT), this research integrates financial and social drivers including remuneration motive, recognition, and reciprocal benefits to examine their effects on attitude, continuance usage intention, and word-of-mouth (WoM) behavior. Data were collected from 174 active Facebook Reels users in Manokwari, Indonesia, and analyzed using partial least squares structural equation modeling (PLS-SEM). Results reveal that network exposure significantly enhances remuneration motive, recognition, and reciprocal benefits. However, only reciprocal benefits positively influence user attitude, which in turn predicts both continued usage and WoM intention. The model’s relatively low R-square values suggest that future research should consider broader psychological and platform-related variables. These findings underscore the need for a holistic approach in designing monetization systems that balance economic rewards with social engagement to ensure sustainable user retention.
Does Gender and Faculty Background Determine the Sustainability of GenAI Adoption in Higher Education? A Revised UTAUT Perspective Mizhael Parubak; Ratna Juita; Dedi Iskandar Inan; Muhamad Indra; Nanes Fitri Rahmawati
JUSIFO : Jurnal Sistem Informasi Vol 11 No 2 (2025): JUSIFO (Jurnal Sistem Informasi) | December 2025
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v11i2.30354

Abstract

The rapid integration of generative artificial intelligence (GenAI) in higher education has transformed learning practices, yet the sustainability of its adoption remains uneven across student groups. This study examines the determinants of sustained GenAI adoption in university settings, with particular attention to the roles of gender and faculty background. Drawing on an extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework, the study employs a quantitative approach using survey data collected from 184 university students. Partial least squares structural equation modelling (PLS-SEM) is applied to evaluate the proposed relationships. The results indicate that performance expectancy, facilitating conditions, attitude toward use, and behavioural intention significantly influence sustained ChatGPT usage. In contrast, effort expectancy and social influence show limited direct effects. Multi-group analysis further reveals notable differences across gender and faculty background, with female students and those from exact science faculties demonstrating higher levels of sustained GenAI adoption. These findings extend the applicability of UTAUT to GenAI contexts and highlight the importance of demographic and disciplinary factors in designing inclusive and sustainable GenAI adoption strategies in higher education.
Co-Authors Andi Saputra Dedi I. Inan Dedi Iskandar Inan Fidelia Serli Korey Marlinda Sanglise Mizhael Parubak Muhamad Indra Nanes Fitri Rahmawati