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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Bulletin of Computer Science Research
Mardi Mardi
STMIK Lombok, Praya
Computer Science & IT Decision Sciences, Operations Research & Management

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Perbandingan Metode MAUT dan Profile Matching Terhadap Sistem Pendukung Keputusan Seleksi Calon Paskibraka Rizthy Shavna Azizah; Wafiah Murniati; Mardi Mardi
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.765

Abstract

The selection of candidates for the Flag Raising Troop (Paskibraka) requires an objective, transparent, and consistent assessment system based on physical criteria, general intelligence, personality, marching skills, and physical fitness. This study compares the Multi Attribute Utility Theory (MAUT) and Profile Matching (PM) methods in supporting selection decision making. The MAUT method produces a utility score by considering the weight of each criterion, while PM assesses the level of conformity to the ideal profile through GAP analysis grouped into Core Factor (CF) and Secondary Factor (SF). The purpose of this study is to compare the accuracy of the MAUT and Profile Matching methods in the decision support system for Paskibraka candidate selection. The calculation results show that candidate A3 obtained the highest score in both methods (MAUT = 0.970; PM = 3.600), followed by A1 (MAUT = 0.957; PM = 3.500) and A9 (MAUT = 0.918; PM = 3.450). This consistency indicates a convergence in the assessment of high-performing candidates. However, differences emerge in the middle ranks, for example, A2, which ranked 8th on the MAUT (0.856) but rose to 4th on the PM (3.100). Differences in assessment principles are the main factor: MAUT emphasizes an even distribution of scores across all criteria, while PM focuses more on fit with the ideal profile, particularly on the core criteria (CF). This finding emphasizes that the choice of methods should be tailored to selection priorities, or used in combination to obtain more accurate and objective results.
Penerapan Metode Analytical Hierarchy Process Dan Tehnique for Order Preference by Similarity to Ideal Solution Dalam Sistem Pendukung Keputusan Penilaian Kinerja Guru Leni Junika Adrian; Wire Bagye; Mardi Mardi
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.8017

Abstract

The evaluation of honorary teachers’ performance plays a crucial role in efforts to enhance the quality of education. This study aims to assess the performance of honorary teachers at SMK Negeri 1 Praya Tengah by applying the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The assessment is based on four main criteria—pedagogical, personal, social, and professional competencies—which are further broken down into several sub-criteria. AHP is utilized to determine the weight of each criterion according to its level of importance, while TOPSIS is employed to rank the teachers based on their proximity to the ideal solution. The results show that the teacher labeled A3, Susilawati, S.Pd, achieved the highest preference score of 0,831, making her the top-performing honorary teacher. The combination of these methods provides an objective and measurable evaluation that can serve as a valuable reference for decision-making by the school administration.
Co-Authors Leni Junika Adrian Rizthy Shavna Azizah Wafiah Murniati Wire Bagye