IMPLEMENTATION OF THE MOORA METHOD IN A DECISION SUPPORT SYSTEM (DSS) FOR DATA-DRIVEN SELECTION OF RESEARCH GRANT RECIPIENTS
Authors/Creators
- 1. Program Studi Teknik Informatika, Fakultas Sains Dan Teknologi, Universitas Muhammadiyah Kalimantan Timur
- 2. rogram Studi Teknik Informatika, Fakultas Sains Dan Teknologi, Universitas Muhammadiyah Kalimantan Timur
Description
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.
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References
- Margaret, Y., Raihan, A., & Hasibuhan, N. A. (2024). Penerapan Metode Moora dengan Pembobotan ROC Dalam Penentuan Kelayakan Kredit Sepeda Motor. Digital Transformation Technology, 4(1), 504–515. https://doi.org/10.47709/digitech.v4i1.4150 Nurhaliza, N., Adha, R., & Mustakim, M. (2022). Perbandingan Metode Ahp, Topsis, Dan Moora Untuk Rekomendasi Penerima Beasiswa Kurang Mampu. Jurnal Ilmiah Rekayasa Dan Manajemen Sistem Informasi, 8(1), 23–30. Piantari, N. K. A., Putra, I. N. T. A., Widiastutik, S., & Kartini, K. S. (2024). Comparative Analysis of The MOORA Method for Evaluating The Effectiveness of Scholarship Acceptance. Jurnal Galaksi, 1(1), 22–32. https://doi.org/10.70103/galaksi.v1i1.3 Rohman, A. A., Bachri, O. S., & Wahyuningsih, P. (2024). Penentuan Karyawan Terbaik Menggunakan Metode MOORA pada Swalayan M di Kota Tegal. Jurnal Ilmiah Intech: Information Technology Journal of UMUS, 6(1), 36–41. Saputra, K. A., & Mailoa, E. (2025). Komparasi Metode AHP, Topsis, Dan MOORA Dalam Menentukan Lokasi Pemasangan Wifi Kota Salatiga. JIPI (Jurnal Ilmiah Penelitian Dan Pembelajaran Informatika), 10(1), 21–33. Selang, A. R., Pramuntadi, A., Wijaya, D. P., & Prastowo, W. D. (2024). Sistem Pendukung Keputusan Penerimaan Siswa Baru Pada Madrasah Ibtidaiyah Negeri 1 Yogyakarta Menggunakan Metode Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA). Jurnal Informatika Teknologi Dan Sains (Jinteks), 6(3), 432–442. Sinaga, G. J. M. (2025). Decision Support System for Determining the Eligibility of Economically Disadvantaged Students for Assistance Using the K-Means and MOORA Methods. ITEJ (Information Technology Engineering Journals), 10(1), 14–28. Siregar, Y. S. (2021). Analisis Penerima Bantuan Beasiswa Program Studi Teknik Informatika Menggunakan Metode Moora Dan Topsis. JiTEKH (Jurnal Ilmiah Teknologi Harapan), 9(1), 58–64. Steven, W., Ayu, T. B., Ariza, A. R., & Farisi, A. (2025). Analisis Metode dan Jenis Keputusan Dalam Literatur Sistematis Pengembangan Sistem Pendukung Keputusan. MDP Student Conference, 4(1), 567–574. https://jurnal.mdp.ac.id/index.php/msc/article/view/11293 Syaputra, R., Hamada Zein, Ari Ahmad Dhani, Bulan Suci Cahayawati, Faldy Alfareza Pambudi, Siti Muawwanah, Raihan Nabil, Bima Satria, Hery Kurniawan, Vito Junivan Rivaldo, & Manda Rela Istiantoko. (2023). Penerapan Metode AHP-TOPSIS Dalam Menentukan Mahasiswa Lulusan Terbaik Pada Prodi Keperawatan UMKT Berbasis Web. Jurnal Ilmiah Dan Karya Mahasiswa, 2(1), 214–226. https://doi.org/10.54066/jikma.v2i1.1407 Syawali, Y., Niska, D. Y., Rangkuti, M. H. H., & Mayadi, K. A. (2025). Sistem Pendukung Keputusan Untuk Optimalisasi Pemilihan Bibit Padi Terbaik Menggunakan Metode MOORA. Jurnal CoSciTech (Computer Science and Information Technology), 6(1), 45–54. Wicaksono, B. S., Budi Apriyanto, & Azhar Fathoni. (2024). Decision Support System for Permanent Employee Selection at PT XYZ with Moora Method. International Journal of Integrated Science and Technology, 2(10), 897–906. https://doi.org/10.59890/ijist.v2i10.2577 Yogi, M., Saputra, E., Fronita, M., & Hamzah, M. L. (2024). Decision Support System Decision Support System (DSS) For Determining Scholarships Using The MOORA Method. Jurnal Sistem Cerdas, 7(3), 328–338. Zhang, J., & Goyal, S. B. (2024). AI-driven decision support system innovations to empower higher education administration. Journal of Computers, Mechanical and Management, 3(2), 35–41.