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Penerapan Metode Promethee Dalam Sistem Pendukung Keputusan Pemilihan Kampus Terbaik Di Kabupaten Asahan Finki Maylani; Revina Salsabila; Siti Nuraida Mangunsong; Rani Kharisma Azzahra
J-Com (Journal of Computer) Vol. 6 No. 1 (2026): MARET 2026
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v6i1.4369

Abstract

Abstract: The development of information technology has brought significant transformation in the field of education, particularly in academic decision-making. This study aims to develop a Decision Support System (DSS) based on the PROMETHEE method (Preference Ranking Organization Method for Enrichment Evaluation) to assist prospective students in objectively and systematically selecting the best university in Asahan Regency. The main issue addressed is the lack of integrated information regarding the strengths of each educational institution, as well as the absence of a recommendation system that considers various important criteria such as accreditation, facilities, tuition fees, achievements, and study programs. This research uses a quantitative approach with data collection techniques including observation, interviews, questionnaires, and documentation. The implementation results of the PROMETHEE method show that Royal University achieved the highest ranking, followed by Asahan University and STIKES As Syifa Kisaran. This method has proven effective in producing rational and transparent campus rankings based on multi-criteria preferences. The findings are expected to serve as a reference for prospective students and educational institutions in improving the quality and competitiveness of higher education in the Asahan region. Keywords: decision support system promethea; campus selection; multi-criteria; asahan. Abstrak: Perkembangan teknologi informasi telah membawa transformasi signifikan dalam dunia pendidikan, khususnya dalam pengambilan keputusan akademik. Penelitian ini bertujuan untuk membangun sistem pendukung keputusan (SPK) berbasis metode PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) guna membantu calon mahasiswa dalam memilih kampus terbaik di Kabupaten Asahan secara objektif dan terstruktur. Permasalahan yang diangkat adalah kurangnya informasi terintegrasi mengenai keunggulan masing-masing institusi pendidikan serta belum tersedianya sistem rekomendasi yang mempertimbangkan berbagai kriteria penting seperti akreditasi, fasilitas, biaya pendidikan, prestasi, dan program studi. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik pengumpulan data melalui observasi, wawancara, kuesioner, dan dokumentasi. Hasil implementasi metode PROMETHEE menunjukkan bahwa Universitas Royal memperoleh peringkat tertinggi diikuti oleh Universitas Asahan dan STIKES As Syifa Kisaran. Metode ini terbukti mampu menghasilkan peringkat kampus secara rasional dan transparan berdasarkan preferensi multikriteria. Temuan ini diharapkan dapat menjadi acuan bagi calon mahasiswa dan pihak institusi dalam meningkatkan kualitas dan daya saing perguruan tinggi di wilayah Asahan. Kata kunci: sistem pendukung keputusa; promethee; pemilihan kampus; multi kriteria; asahan
Analysis of Decision Support System to Determine Toddlers Eligible for Additional Food at Posyandu in Perkebunan Tanah Datar Village Using Profile Matching Method Revina Salsabila; Nurul Rahmadani; Muhammad Iqbal
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6738

Abstract

The determination of toddlers eligible for the Supplementary Feeding Program (PMT) at the Integrated Health Post in Perkebunan Tanah Datar Village is still conducted manually, which can lead to subjectivity and inaccurate targeting of assistance. This study aims to develop a Decision Support System using the Profile Matching method to determine priority PMT recipients in a more objective and systematic manner. The assessment compares the actual condition of toddlers with an ideal profile by calculating GAP values across several criteria, including stunting status, nutritional status, parents’ income, and mother’s education level. These criteria are processed using Core Factor (60%) and Secondary Factor (40%) weighting to generate priority rankings. The system evaluation was conducted using seven toddler data samples, producing ranking results in which toddler B6 obtained the highest priority score of 4.5. The results indicate that the proposed method is able to generate consistent eligibility rankings and support a more transparent and measurable decision-making process compared to manual selection. By automating the calculation of GAP values and weighting factors, the system reduces subjectivity and improves the efficiency and accuracy of PMT recipient determination. However, this study is limited by the relatively small dataset and its implementation in a single Posyandu location. Future research may involve larger datasets and additional evaluation criteria to improve the robustness and applicability of the model in broader community health service settings.