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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JOIV : International Journal on Informatics Visualization JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Indonesian Journal of Business Intelligence (IJUBI) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Information System Journal (INFOS) Journal Automation Computer Information System (JACIS) Abdiformatika: Jurnal Pengabdian Masyarakat Informatika The Indonesian Journal of Computer Science Research JURNAL MULTIDISIPLIN BHATARA
Sri Ngudi Wahyuni, Sri Ngudi
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing

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Journal : Jurnal Teknik Informatika (JUTIF)

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Decision Support Systems in Electronic Procurement for Public Sector Procurement: A Systematic Literature Review on Machine Learning Integration Cahyono, Teguh; Muhammad, Alva Hendi; Wahyuni, Sri Ngudi; Al Fatta, Hanif
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5747

Abstract

This study analyzes the evolution of Decision Support Systems (DSS) and Multi-Criteria Decision Making (MCDM) in public sector procurement between 2020 and 2025. Using bibliometric analysis of Scopus and Web of Science articles, the research focuses on themes such as e-procurement, supplier selection, public procurement, and the integration of intelligent technology. Network visualization, overlays, and density mapping were applied to explore keyword relationships, temporal trends, and research intensity. Findings reveal that in 2020, studies concentrated on transparency and digitalization in public e-procurement, with classical MCDA methods, fuzzy TOPSIS, and semantic DSS dominating the approaches. By 2022–2023, the emphasis shifted toward intelligent technologies, including artificial intelligence, neuro-fuzzy systems, and data mining algorithms. These innovations expanded DSS functions from evaluation to predictive analytics and optimization. Core themes such as supplier selection, optimization, and public procurement remained central, while emerging topics like sustainability and clinical decision support systems pointed to new research directions. A significant gap was identified in the university context. Although public sector e-procurement has been widely studied, no research has specifically addressed DSS–MCDM applications in higher education procurement systems. Consequently, future agendas should prioritize adaptive DSS tailored to universities, blockchain integration for transparency, and AI applications in clinical and humanitarian systems.
Co-Authors Abhinaya Sigit Kumara, Yohanes De Deo Achmad Fauzi Alva Hendi Muhammad Andiyoko, Cia Andiyoko, Cia Arbiansyah, Reynaldi Ariaji, Tristanto Aufa Hanif, Mohammad Budi, Galang Setia Dewi Anisa Istiqomah Eko Sediyono Erna Daniati Garjita, Lila Grafvera, Ervira Diva Guji S. U. , Fitra Jibjaya Hanafi Hanafi Hanif Al Fatta Hidayat, Fiyan Kurnia Irwan Sembiring Khanom, Nazmun Nahar Kurnia Rasyid, Muhammad Rum Andri Maemunah, Mei Maemunah, Mei Maemunah Majid, Ammar Waly Muhammad Ikhsan Mulyatun, Sri Mulyatun, Sri Mulyatun Rahmawati, Dwi Rahmawati Rosyidah Jayanti Vijaya, Rosyidah Jayanti Suyatmi, Suyatmi Suyatmi Teguh Cahyono Triwidodo, Ahmad Widowati, Anik Sri Widyawati, Rahma Widyawati, Rahma Widyawati Windarni , Vikky Aprelia Wiratama , Bill Bilal Yuli Astuti