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Pengembangan Sistem Pendukung Keputusan Untuk Penerimaan Bantuan Beras Miskin Menggunakan Metode TOPSIS Rizka Amalia; Budimansyah Purba, Arif; Wawan Kusdiawan; Jajang Mulyana; Supriyadi Supriyadi; Willys Willys; Wafiqah Yasmin Azhar
Jurnal Sains dan Ilmu Terapan Vol. 6 No. 2 (2023): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v6i2.878

Abstract

The village of Segarjaya has conducted an eligibility survey to obtain low-quality rice, but the information collected is still inaccurate, and the assessment of the eligibility for low-quality rice is not standardized. Due to the lack of standardization and inaccuracies regarding the recipients of poor rice assistance, the community often protests. The aim of this research is to develop a DSS system capable of providing accurate data results to the assistance recipients and implementing standard evaluation criteria for the recipients of poor rice. The TOPSIS method was chosen to create the DSS system. The research procedure starts with data collection, followed by the decision matrix, determining whether the solution is positive or negative ideal, the optimal distance between solutions, and the preference values for each option. The result of this research is a DSS algorithm that can be applied to PBM, which can support the Segarjaya village authorities to be more accurate in making decisions for the recipients of poor rice subsidies.
Design of an Online GWEP Test Application to Assess English Proficiency of Students at Horizon University Indonesia: Penelitian Wafiqah Yasmin Azhar; Anwar Hilman; Arif Budimansyah Purba; Wahyudi; Vivi Ayu Lestari; Ahmad Najib Mutawally
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 3 No. 4 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 3 Nomor 4 (April 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v3i4.470

Abstract

English proficiency is an essential skill in both academic and professional settings. To support this need, Horizon Indonesia University currently uses the EFSet as an evaluation tool in its Global Workplace English Program (GWEP). However, EFSet has several limitations, including inflexible navigation, fixed question formats, and less informative result reports. This study aims to design a more user-friendly UI/UX for the GWEP online test application that better meets the needs of both students and lecturers. The research applies a Design Thinking approach and uses a mixed-methods strategy (qualitative and quantitative) through surveys, interviews, observations, and prototype testing with Figma. The results show that the new application offers easier navigation, a “mark question” feature, and more detailed result reports. A total of 90% of users completed the test without issues and in less time compared to EFSet. This application is expected to serve as a more effective alternative for assessing English proficiency online.
Understanding User Needs for a Mobile Health Application: Insights into Fasting, Training, and Muscle Development Lila Setiyani; Eldawati Eldawati; Wafiqah Yasmin Azhar; Devi Fajar Wati; Dedih Dedih; Hanny Hikmayanti
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1074

Abstract

Mobile Health (mHealth) applications are increasingly used to support intermittent fasting, fitness training, and nutrition tracking. However, existing solutions remain fragmented, focusing on isolated domains without addressing users’ holistic health needs. This study aimed to explore user needs and preferences for an integrated mobile health application that combines fasting, training, and muscle development, emphasizing feature importance, usability expectations, and privacy concerns. A mixed-methods approach was used: a survey (n = 50) captured demographic profiles, feature prioritization, and usability expectations, while interviews (n = 10) explored user experiences and challenges. Quantitative data were analyzed using descriptive statistics, while qualitative interview responses were grouped into key themes through manual coding and interpretation. Results from both approaches were triangulated to strengthen the validity and reliability of findings. Users prioritized workout progression tracking (M = 4.94, SD = 0.18, 95% CI [4.89, 4.99]) and protein/macro monitoring (M = 4.20, SD = 0.42) over fasting timers (M = 2.92/5) or motivational features (M = 2.88). Usability expectations were high (Ease of Use = 6.06/7; System Capability Fit = 6.36/7), and privacy was a non-negotiable factor (M = 5.00/5). Themes revealed frustrations with incomplete exercise libraries, fragmented features, and lack of personalization. The study highlights the need for integrated, user-centered mHealth applications that unify fasting, training, and nutrition while embedding privacy-by-design principles. Future work will advance this study through prototype development and usability testing using SUS and UMUX-Lite metrics.