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Contact Name
Hindayati Mustafidah
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Gedung Fakultas Teknik dan Sains Universitas Muhammadiyah Purwokerto Jl. K.H. Ahmad Dahlan, Dukuh Waluh, Kembaran, Banyumas, Central Java, Indonesia
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JUITA : Jurnal Informatika
ISSN : 20869398     EISSN : 25798901     DOI : 10.30595/JUITA
Core Subject : Science,
UITA: Jurnal Informatika is a science journal and informatics field application that presents articles on thoughts and research of the latest developments. JUITA is a journal peer reviewed and open access. JUITA is published by the Informatics Engineering Study Program, Universitas Muhammadiyah Purwokerto. JUITA invites researchers, lecturers, and practitioners worldwide to exchange and advance knowledge in the field of Informatics. Documents submitted must be in Ms format. Word and written according to author guideline. JUITA is published twice a year in May and November. Currently, JUITA has been indexed by Google Scholar, IPI, DOAJ, and has been accredited by SINTA rank 2 through the Decree of the Director-General of Research and Development Strengthening of the Ministry of Research, Technology and Higher Education No. 36/E/KPT/2019. JUITA is intended as a media for informatics research among academics, practitioners, and society in general. JUITA covers the following topics of informatics research: Software engineering Artificial Intelligence Data Mining Computer network Multimedia Management Information System Digital forensics Game
Articles 422 Documents
A Nonlinear Utility-Based GDSS Model for Village Development Priority Determination Ubaidilah Aminuddin Thoyieb; Dyah Aruming Tyas; Sri Mulyana
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 2, July 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v14i2.30656

Abstract

The determination of village development priorities through Village Development Planning Deliberation often faces subjectivity, limited analytical instruments, and difficulties in evaluating multiple alternatives and criteria simultaneously. Conventional approaches such as Simple Additive Weighing (SAW) and TOPSIS exhibit different characteristics in distinguishing alternatives with similar evaluation profiles. This study proposed a group decision support system model based on nonlinear utility for adaptive collective decision-making. The model integrated the Analytical Hierarchy Process (AHP) for sector weighing, the Simple Multi-Attribute Rating Technique (SMART) with nonlinear utility functions for alternative evaluation, and the Borda method for preference aggregation. The proposed model was compared with AHP–SAW–Borda and AHP–TOPSIS–Borda using a case study involving 24 development program alternatives classified into 5 development sectors and evaluated using 6 assessment parameters. The results showed that the proposed model maintained globally consistent ranking structures across both comparison approaches. Spearman correlation coefficients reached 0.9389 for SMART versus SAW and 0.9519 for SMART versus TOPSIS, indicating strong consistency across additive and distance-based evaluation paradigms. Ranking variations mainly occurred among mid-ranked alternatives, while dominant priorities remained stable. The findings indicate that nonlinear utility transformation improves adaptive ranking sensitivity while preserving overall decision stability.
Editor Preface and Table of Content JUITA Jurnal Informatika
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 2, July 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Editor Preface and Table of Content Vol. 14 Issue 2, July 2026