Keywords
MAUT
Scholarship
How to Cite
Abstract
This research aims to build a Decision Support System (DSS) in determining the eligibility of recipients of the Smart Indonesia Program (PIP) scholarship assistance at SMKN 1 Kefamenanu. The method used in this research is Multi Attribute Utility Theory (MAUT). The approach used is quantitative with data collection techniques through interviews, document studies and questionnaires. Data analysis techniques include qualitative descriptive data processing and quantitative data processing using the MAUT method. The research results show that the system that was built succeeded in simplifying the process of determining the eligibility of PIP scholarship recipients at SMKN 1 Kefamenanu. This system is able to process data on prospective scholarship recipients using the MAUT method and produce recommendations for scholarship recipients based on the preference values obtained.
References
[1] K. Moensaku, J. J. Messakh, and M. M. Selan, “Redesain Kompleks Smk Negeri 1 Kefamenanu Dengan Konsep Penerapan Green Architecture,” Jurnal Batakarang, vol. 4, no. 1, pp. 33–42, 2023.
[2] S. Christina, E. D. Oktaviyani, J. P. Encun, and D. Ronaldo, “Penyeleksian Calon Penerima Bantuan Program Indonesia Pintar Menggunakan,” Jurnal Teknologi Informasi, vol. 16, no. 2, pp. 124–134, 2022.
[3] N. E. Rohaeni and O. Saryono, “Implementasi Kebijakan Program Indonesia Pintar ( PIP ) Melalui Kartu Indonesia Pintar ( KIP ) dalam Upaya Pemerataan Pendidikan,” Journal of Education Management and Administration Review, vol. 2, no. 1, pp. 193–204, 2018.
[4] Y. P. K. Kelen et al., “Decision support system for the selection of new prospective students using the simple additive weighted (SAW) method,” 2023.
[5] S. H. Saragih, “Penerapan Metode Analitycal Hierarchy Process (AHP) Pada Sistem Pendukung Keputusan PENERAPAN METODE ANALITYCAL HIERARCHY PROCESS (AHP) PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LAPTOP,” Pelita Informatika Budi Darma, vol. IV, pp. 82–88, 2013.
[6] A. Pratama and D. P. Kesuma, “Implementasi Sistem Pendukung Keputusan untuk Pemilihan Karyawan Terbaik menggunakan Metode MAUT,” MDP Student Conference, vol. 2, no. 1, pp. 510–518, 2023, doi: 10.35957/mdp-sc.v2i1.4455.
[7] N. Hadinata, “Implementasi Metode Multi Attribute Utility Theory (MAUT) Pada Sistem Pendukung Keputusan dalam Menentukan Penerima Kredit,” Jurnal Sisfokom (Sistem Informasi dan Komputer), vol. 7, no. 2, pp. 87–92, 2018, doi: 10.32736/sisfokom.v7i2.562.
[8] E. T. Siregar, “Penerapan Metode Multi-Attribute Utility Theory Dalam Pemilihan Penerima Bantuan Sosial Jasa Pelayanan Public Pengabdian Kepada Masyarakat Terdampak Covid-19,” METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi, vol. 8, no. 2, pp. 24–28, 2022, doi: 10.46880/mtk.v8i2.1308.
[9] M. Fairuzabadi et al., “Penulis: METODE DAN IMPLEMENTASI,” 2023.
[10] P. Astuti, “Penggunaan Metode Black Box Testing (Boundary Value Analysis) Pada Sistem Akademik (Sma/Smk),” Faktor Exacta, vol. 11, no. 2, p. 186, 2018, doi: 10.30998/faktorexacta.v11i2.2510.
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