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Hamada Zein
Universitas Muhammadiyah Kalimantan TImur
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Public Health Social Sciences

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IMPLEMENTATION OF THE MOORA METHOD IN A DECISION SUPPORT SYSTEM (DSS) FOR DATA-DRIVEN SELECTION OF RESEARCH GRANT RECIPIENTS Widya Sayekti; Hamada Zein; Arbansyah
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 3 (2026): FEBRUARY
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18764628

Abstract

The process of determining research grant recipients for lecturers plays an important role in supporting the improvement of research quality in academic environments. However, research grant selection that is still carried out manually may lead to several challenges, particularly in the evaluation process and the management of assessment data. Therefore, this study is conducted within the context of research grant management at the Institute for Research and Community Service (LPPM) of Universitas Muhammadiyah Kalimantan Timur (UMKT). This study aims to apply the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method to a data-driven Decision Support System (DSS) to support the research grant selection process. A quantitative applied approach is used by utilizing secondary data, including research grant proposal data, assessment criteria along with their weights, and reviewer evaluation results obtained from LPPM UMKT. The implementation of the MOORA method is carried out through several stages, namely the construction of a decision matrix, data normalization, criteria weighting, optimization value calculation, and proposal ranking. The developed decision support system is implemented as a web-based application using the Laravel framework and a MySQL database. The results show that the application of the MOORA method is able to produce a ranking of research grant proposals based on the specified criteria and weights. The system can assist LPPM UMKT in managing the research grant selection process in a more structured and data-based manner, and can be used as a supporting tool for decision-making in research grant selection at higher education institutions.
Co-Authors Abdul Rahim Achmad Farid Adia Lestari Admojo, Fadhila Tangguh Angriani, Husni Any Sawheri Gading Arbansyah Ari Ahmad Dhani Aris Wahyu Murdiyanto Aulia Khofifah Syamsuri Azdy, Rezania Agramanist Azelina Zahra Riadini B, Isdayani Bima Satria Bobi Zinaidin Zidan Bulan Suci Cahayawati Dian Hafidh Zulfikar Effan Najwaini Erfan Tongalu Fajri Harits Muzaki Faldy Alfareza Pambudi Farhan Akbar Febri Ananda Chairi Ferdi Iwanda Fitriyati Agustina Hery Kurniawan Highness Mailani Putri Ilhan Firanda izmy alwiah musdar Jimmy H Moedjahedy Joni Saputra Khusnul Khotimah Kusrini Kusrini Kusrini, Kusrini Lidya Sari Lilis Sagita M. Syukri Mustafa Manda Rela Istiantoko Maria, ⁠⁠Eny Melisa Nur Aini Muhamad Wahyu Tirta Muhammad Aditya Pratama Muhammad Fariz Ijlal Rafi Muhammad Khumaidi Nursyarif Muhammad Taufiq Sumadi Mukminatul Munawaroh Naswin, Ahmad Novia Hidayati Ramadhani Poetro, Bagus Satrio Waluyo Prasetio, Dimaz Arno Priyambada, Galih Radhitya, Made Leo Raenald Syaputra Raihan Nabil Reyka Luna Karalo Ridha Anisa Soldzu Parnga Ririn Wahyuni Rita Yulfani Rudi Setiawan Seftiani Nur Sigiet Haryo Pranoto Sinra, A. Siti Muawwanah Siti Patimah Siti Puspita Hida Sakti MZ Sri Mar’ati Sholikhah Sulistyowati Sulistyowati Supriatin Supriatin Tarigan, Thomas Edyson Taruk, Medi Tri Wahyudi Vito Junivan Rivaldo Widya Sayekti