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ROC-COPRAS Sebagai Sistem Penunjang Keputusan Kelayakan Penerima Beasiswa Program Indonesia Pintar Iin, Johar Nur
Jurnal Media Informatika Vol. 6 No. 1 (2024): Jurnal Media Informatika Edisi September - Desember
Publisher : Lembaga Dongan Dosen

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Abstract

The high dropout rate in Indonesia is one of the government's problems, for which the government is carrying out various efforts, one of which is by providing the Smart Indonesia Program (PIP) Scholarship. The Indonesia Pintar program aims to increase students' opportunities to continue their education at the primary, secondary and higher education levels as a provision to continue into the industrial world. However, not all children can receive PIP assistance with the criteria that have been determined by the government. Budget limitations for the Smart Indonesia Program make it necessary to have a system to support the eligibility of aid recipients. The purpose of this research is to create a decision support system for recipients of the Smart Indonesia Program (PIP) Range Order Centroid (ROC) and Complex Proportional Assessment (COPRAS) methods. This study uses the criteria of father's income, mother's income, father's job, mother's job, distance from home to school, and the number of dependents of parents, means of transportation, and Cumulative Achievement Index (GPA). The results of the research for the decision support system of the ROC-COPRAS method were obtained in the order of alternative ranks, namely A5, A1, A4, A2, and A3, with a utility value (Ui) of 100%. The Decision Support System of the ROC-COPRAS method is expected to be one of the alternative methods in solving multi-criteria decision making problems.
Evaluasi Proposal Program Kreativitas Mahasiswa (PKM) Menggunakan Sistem WP Risnawati; Yuwanda Purnamasari Pasrun; Johar Nur Iin; Mutmainnah Muchtar
Journal Research on Computing Knowledge Vol. 1 No. 1 (2024): November 2024
Publisher : Fakultas Teknologi Informasi

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Abstract

The evaluation procedure for Student Creativity Program (PKM) projects necessitates an objective and efficient methodology to analyze several aspects. This project seeks to establish an evaluation system utilizing the Weighted Product (WP) approach to deliver transparent and quantifiable rankings of proposals. The review utilized five primary criteria: thematic relevance, innovation and creativity, technological feasibility, potential impact, and program sustainability, each assigned predetermined weights. Data from ten proposals were evaluated utilizing the WP approach, encompassing the phases of decision matrix normalization, preference value computation, and ranking. The findings indicated that Proposal 4 garnered the highest preference value (4.939), succeeded by Proposal 5 (4.889) and Proposal 2 (4.876), establishing them as the foremost recommendations for funding. The WP technique shown efficacy in improving the efficiency and impartiality of the PKM proposal selection process. This method's implementation can be utilized in other programs with comparable assessment difficulties