Published: 2026-03-13
Decision Support System for Teacher Competency Evaluation Using Profile Matching and Rule-Based Coaching
DOI: 10.35870/ijmsit.v6i1.6737
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Abstract
Teacher competency evaluation plays a crucial role in improving educational quality; however, assessment practices at MTSS MPI Bagan Asahan are still conducted manually, leading to limited documentation, potential subjectivity, and the absence of systematic analysis. This study aims to develop a Decision Support System (DSS) based on the Modified Profile Matching method to measure teacher competency alignment with predefined ideal standards and generate proportional coaching recommendations. A quantitative case study was conducted involving 22 active teachers selected through total sampling. Data were collected from supervision documents, observations, interviews, and literature review. Competency evaluation was performed using GAP analysis between actual and target profiles, applying a 60% weighting for Core Factors and 40% for Secondary Factors to compute final ranking scores. The results show that competency scores ranged from 3.80 to 4.70, with a mean of 4.25 and a standard deviation of 0.24, indicating relatively homogeneous performance levels. Beyond ranking, the system generates adaptive coaching recommendations based on the number of negative GAP indicators. Black Box testing confirms functional reliability. The integration of proportional rule-based recommendations transforms the DSS from a static ranking tool into a structured competency diagnostic and professional development planning system. The proposed system also has the potential to be implemented in other educational institutions to support objective and data-driven teacher competency evaluation.
Keywords
Profile Matching ; Decision Support System ; Teacher Competency Evaluation ; Adaptive Coaching Recommendations ; Teacher Professional Development
Article Information
This article has been peer-reviewed and published in the International Journal of Management Science and Information Technology. The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 6 No. 1 (2026)
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Section: Articles
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Published: %750 %e, %2026
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License: CC BY 4.0
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Copyright: © 2026 Authors
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DOI: 10.35870/ijmsit.v6i1.6737
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Siti Nuraida Mangunsong
Information Systems Study Program, Faculty of Computer Science, Universitas Royal, Asahan Regency, North Sumatra, Indonesia
Rizaldi
Information Systems Study Program, Faculty of Computer Science, Universitas Royal, Asahan Regency, North Sumatra, Indonesia
Nurul Rahmadani
Information Systems Study Program, Faculty of Computer Science, Universitas Royal, Asahan Regency, North Sumatra, Indonesia
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Aljofarinski, H. J. A., & Utama, D. N. (2022). Decision Support Model to Determine the Best Employees (Mechanic) using Fuzzy Logic and Profile Matching. Journal of Computer Science, 18(6), 540–554. https://doi.org/10.3844/jcssp.2022.540.554
-
Bauka, O. R., Rangga, A. A., Momo, L. L., Stella, S., & Sumba, M. (2023). Sistem pendukung keputusan penilaian kinerja guru di SMP Negeri 4 Loura menggunakan metode profile matching. IJET : Indonesian Journal of Techniques and Education Techniques, 1(2), 59–74.
-
Hidayat, W.., & Puspasari, R. (2025). Application of AHP and Profile Matching Methods in Teacher Performance Assessment at XYZ School. Jurnal ICT: Information and Communication Technologies, 16(2), 121–132. https://doi.org/10.35335/jict.v16i2.260
-
Hutahaean, J., Nugroho, F., & Abdullah, D. (2024). Sistem Pendukung Keputusan dalam Penilaian Guru Berprestasi Menggunakan Metode Profile Matching. Jurnal Teknologi Pendidikan, 8(3), 2012–2023.
-
Lubis, H., & Lubis, F. R. (2024). Sistem Pendukung Keputusan Pemilihan Guru Terbaik Berdasarkan Penilaian Kinerja Menggunakan Metode Profile Matching. Jurnal Ilmu Komputer Dan Sistem Informasi (JIRSI), 3(1), 96–109. https://doi.org/10.70340/jirsi.v3i1.114
-
Mahendra, G. S., Tampubolon, L. P. D., Herlinah, Arni, S., Kharisma, L. P. I., Resmi, M. G., Sudipa, I. G. I., Khairunnisa, Ariana, A. A. G. B., Syam, S., & Edi. (2023). Sistem Pendukung Keputusan: Teori dan Penerapannya dalam Berbagai Metode. PT. Sonpedia Publishing Indonesia.
-
Nasution, F. P. (2022). Identifikasi kinerja guru dalam menentukan kualitas mengajar menggunakan metode profile matching. Jurnal Sistem Informasi Dan Teknologi (JSON), 1(3), 172–181. https://doi.org/10.30865/json.v1i3.2104
-
Padillah, N., Josi, A., & Rindri, Y. A. (2024). Sistem Pendukung Keputusan Penilaian Kinerja Guru Menggunakan Metode Profile Matching Berbasis Website Decision Support System for Teacher Performance Appraisal Using Website-based Profile Matching Method. JATI (Jurnal Teknologi Dan Informasi), 14(2), 186–200. https://doi.org/10.34010/jati.v14i2
-
Putri, Y. R., & Amizi, D. S. (2024). Profesionalisme Guru dan Peningkatan Mutu Pendidikan. Jurnal Pendidikan Tambusai, 8(3), 43529–43535.
-
Rendu, N. O., Sara, K., & Mude, A. (2022). Penerapan Metode Promethee pada Sistem Pendukung Keputusan Penerimaan Beasiswa. Jurnal Sains Teknologi Dan Sistem Informasi, 2(2), 83–90. https://doi.org/10.54259/satesi.v2i2.1113
-
Rizaldi, & Anggraeni, Dewi & Rahayu, Elly. (2025). A FUZZY LOGIC BASED EVALUATION MODEL FOR THESIS TOPIC FEASIBILITY TO ENHANCE STUDENT RESEARCH RELEVANCE. JURTEKSI (jurnal Teknologi dan Sistem Informasi). 12. 97-102. 10.33330/jurteksi.v12i1.4293.
-
Sianturi, M. V., & Simanjuntak, M. P. U. (2024). Penerapan Teknologi dalam Pendidikan Profesionalisme Guru di Era Digital. Jurnal Pendidikan Modern, 5(2), 350–367.
-
Silitonga, A., & Megawaty, D. A. (2023). Decision Support System Feasibility for Promotion using the Profile Matching Method. Journal of Data Science and Information System, 1(2), 50–56. https://doi.org/10.58602/dimis.v1i2.36
-
Sofiah Aini, Khairunnisa Ani Putri, Rika Hanifah Tanjung, & Nur Sakila Ena Anjani. (2025). Strategi Cerdas Menilai Generasi Berprestasi: Penerapan Sistem Pendukung Keputusan PROMETHEE di MTs Swasta Darularafah Raya. Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian Dan Angkasa, 3(6), 42–55. https://doi.org/10.62383/algoritma.v3i6.786
-
Triyanto, A., Raharjo, P., Triatma, W. E., & Litanianda, Y. (2023). Sistem pendukung keputusan untuk menentukan pemilihan guru berprestasi menggunakan metode Promethee. Jurnal Ilmiah Edutic: Pendidikan Dan Informatika, 9(2), 149–161. https://doi.org/10.21107/edutic.v9i2.19715
-
Vidjayanti, T. M., Wulandari, I. R., Farida, L. D., & Astuti, Y. (2021). Model aplikasi sistem penunjang keputusan penilaian kinerja guru menggunakan profile matching. JUTISI: Jurnal Ilmiah Teknik Informatika Dan Sistem Informasi, 10(3), 635–646. https://doi.org/10.35889/jutisi.v10i3.778
-
Yuwanda, Y., & Apdillah, D. (2025). Sistem Pendukung Keputusan Penilaian Kinerja Tenaga Pendidik dengan Metode Profile Matching. Journal of Science and Social Research, 8(1), 363–371.
-
Zaidiah, A., Astriratma, R., & Isnainiyah, I. N. (2025). Modeling Female Contraceptive Recommendation Using Hybrid Analytical Hierarchy Process and Profile Matching. Journal of Applied Data Sciences, 6(3), 1741–1755. https://doi.org/10.47738/jads.v6i3.613
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