Rizal Tjut Adek, Hafizh Al Kautsar Aidilof, Ali Imran Nasution


The rapid development of information technology is in line with the development of computational methods that help solve various problems, one of which is the method of decision support systems. Higher education institutions, especially Malikussaleh University, have many scholarship programs like the Academic Achievement Improvement Scholarship or PPA. PPA is a scholarship that has existed since 2012 which was launched and allocated by the Ministry of Research, Technology and Higher Education with a focus on aspects of improving academic achievement. However, the selection system is still conventional or manual, so it takes longer. This study aims to implement a decision-making system in an application to recommend PPA scholarship recipients automatically. The existence of an automatic decision-making system will be more efficient and effective to help speed up the process of making decisions based on the criteria they have. Some of the assessment criteria used include GPA, semester, the total income of parents, and the number of dependents of parents. Also, the alternative data used are 825 data. The method applied to the system is the Preference Selection Index (PSI) method, which is used as a reference for ranking results and measuring accuracy. In this method, it is not necessary to determine the relative importance between the criteria. In addition, this method does not have certain conditions that require calculating the weight of the related criteria in decision-making problems. The research steps used are the waterfall model with several main stages, namely planning, modeling, implementation, and testing. This system is built using PHP as the programming language and MySQL as the database. Based on system testing, it is found that the system is following the design and can provide ranking results in the form of recommendations for scholarship recipients with a comparison of stakeholder decisions and that the system using the PSI method is 66%. The PSI method can be implemented by displaying each alternative's most considerable PSI value by displaying the ranking results. This PPA Scholarship Acceptance DSS application can be used as an alternative to making it easier for related parties to determine who is entitled to receive the scholarship.

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Rizal, R. Kesuma Dinata, and A. Ditha, “Online Newspaper Clustering in Aceh using the Agglomerative Hierarchical Clustering Method,” Int. J. Eng. Sci. Inf. Technol., vol. 2, no. 1, pp. 70–75, 2021, doi: 10.52088/ijesty.v2i1.206.

Rizal, “SELEKSI CALON PESERTA OLIMPIADE SAINS MENGGUNAKAN FUZZY MULTIPLE ATTRIBUTE DESICION MAKING ( FMADM ) ( Study Kasus : Fatih Bilingual School ),” TECHSI J. Penelit. Tek. Inform., vol. 4, no. 1, pp. 189–297, 2014.

S. Jian and S. Ying, “Preference selection index method for machine selection in a flexible manufacturing cell,” MATEC Web Conf., vol. 139, pp. 4–7, 2017, doi: 10.1051/matecconf/201713900167.

Kemenristekdikti, Panduan Beasiswa Peningkatan Prestasi Akademik. Jakarta, 2019.

F. N. Khasanah and S. Rofiah, “Sistem Seleksi Penerimaan Beasiswa Menggunakan Metode Pendukung Keputusan Simple Additive Weighting,” Semin. Nas. APTIKOM, pp. 118–125, 2019.

J. Y. Augusto, B. Mulyawan, and T. Sutrisno, “Perbandingan Metode Topsis Dan Simple Additive Weighting Untuk Rekomendasi Penentu Penerima Beasiswa Sma Dy,” J. Ilmu Komput. dan Sist. Inf., vol. 7, no. 1, pp. 73–76, 2019.

N. N. Satriani, I. Cholissodin, and M. A. Fauzi, “Sistem Pendukung Keputusan Penentuan Calon Penerima Beasiswa BBP- PPA Menggunakan Metode AHP-PROMETHEE I Studi Kasus : FILKOM Universitas Brawijaya,” J. Pengemb. Teknol. Inf. dan Ilmu Komput. Univ. Brawijaya, vol. 2, no. 7, pp. 2780–2788, 2018.

S. R. Nasution, “Sistem Pendukung Keputusan Penilaian dan Evaluasi Terhadap Kinerja Karyawan Dengan Metode Preference Selection Index (PSI) Pada Industri Primer Pengolahan Kayu UD Maju Rezeki,” Semin. Nas. Teknol. Komput. Sains, pp. 383–392, 2020.

K. Maniya and M. G. Bhatt, “A selection of material using a novel type decision-making method: Preference selection index method,” Mater. Des., vol. 31, no. 4, pp. 1785–1789, 2010, doi: 10.1016/j.matdes.2009.11.020.

R. Attri and S. Grover, “Application of preference selection index method for decision making over the design stage of production system life cycle,” J. King Saud Univ. - Eng. Sci., vol. 27, no. 2, pp. 207–216, 2015, doi: 10.1016/j.jksues.2013.06.003.

M. Noryani, S. Sapuan, and M. Mastura, “Multi-criteria decision-making tools for material selection of natural fibre composites: A review,” J. Mech. Eng. Sci., vol. 12, no. 1, pp. 3330–3353, 2018.

R. Chauhan, T. Singh, N. S. Thakur, and A. Patnaik, “Optimization of parameters in solar thermal collector provided with impinging air jets based upon preference selection index method,” Renew. Energy, vol. 99, pp. 118–126, 2016, doi: 10.1016/j.renene.2016.06.046.



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