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p-Index From 2021 - 2026
0.444
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All Journal Journal of System and Computer Engineering
Wakhid Yunendar
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Computer Science & IT Decision Sciences, Operations Research & Management

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Decision Support System for Aren Sugar Aid Using SMART Method anas anas; Rozalina Amran; Wakhid Yunendar
Journal of System and Computer Engineering Vol 6 No 2 (2025): JSCE: April 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i2.1876

Abstract

Sugar palm (Arenga pinnata Merr) is a type of palm plant that is widely found in Indonesia. This plant is able to produce sap liquid from its cut flower bunches. Chemically, sugar palm sap contains 87.2% water, 12.7% carbohydrates, 0.24% ash, 0.2% protein, and 0.02% fat. Simple Multi Attribute Rating Technique is a multi-attribute decision-making method used to assist decision makers in determining several alternative choices. Each alternative is arranged based on a number of attributes, where each attribute has a certain value that is assessed on a certain scale. In addition, each attribute is given a weight that indicates its level of importance compared to other attributes. The application of a Decision Support System with this method can produce more effective, fast, and accurate decisions in the initial selection process for recipients of palm sugar production assistance. The reliability of this system is proven through testing using the White Box Testing and Basis Path Testing methods, which produce a V(G) value of 9.
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.
Co-Authors Anas Anas Andi Nurfadillah Ali Andi Rakhmat Baharuddin Nur Aminah Ahmad Rozalina Amran Sirwan Sirwan