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Development of a Mobile Application for Social Media Duration Tracking Wakhid Yunendar; Andi Nurfadillah Ali; Nur Aminah Ahmad; Sirwan Sirwan; Andi Rakhmat Baharuddin
Journal of System and Computer Engineering Vol 7 No 4 (2026): JSCE: October 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i4.2833

Abstract

Self-report methods are known to inadequately represent actual social media use, limiting the accuracy of duration-comparison research among adolescents. This second-year study addressed this limitation by developing SociaLog, an Android mobile application that automatically logs students' social media duration and frequency of use. Using a Research and Development approach combined with the Prototyping software development model, the application was designed through five phases: requirements gathering, quick design, prototype building, user evaluation, and refinement. A preliminary needs analysis (n = 10) established four functional requirements, prioritizing automatic logging and graph-based reporting. The prototype was trial-tested on 100 vocational high school students from two schools in Makassar, Indonesia, over a one-week period. Logged data showed an average daily social media use of 7.46-8.63 hours, dominated by WhatsApp and TikTok. A 27-item usability questionnaire demonstrated strong item validity (r = 0.65-0.88) and excellent reliability (Cronbach's alpha = 0.980). Non-parametric tests indicated consistently high user acceptance across schools (Mann-Whitney U, p = 0.304) and evaluation dimensions (Kruskal-Wallis, p = 0.846). These findings indicate that SociaLog offers a valid, reliable, and well-accepted alternative to self-reported social media duration measurement among adolescents.