Journal of System and Computer Engineering
Vol 7 No 4 (2026): JSCE: October 2026

Development of a Mobile Application for Social Media Duration Tracking

Wakhid Yunendar (Unknown)
Andi Nurfadillah Ali (Unknown)
Nur Aminah Ahmad (Unknown)
Sirwan Sirwan (Unknown)
Andi Rakhmat Baharuddin (Unknown)



Article Info

Publish Date
30 Oct 2026

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.

Copyrights © 2026






Journal Info

Abbrev

JSCE

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Programming Languages Algorithms and Theory Computer Architecture and Systems Artificial Intelligence Computer Vision Machine Learning Systems Analysis Data Communications Cloud Computing Object Oriented Systems Analysis and Design Computer and Network Security Data ...