Model Sistem Pendukung Keputusan Berbasis Web untuk Penentuan Siswa Berprestasi pada Sekolah Dasar Katolik Wikico Kawango
DOI:
https://doi.org/10.59024/jiti.v4i4.2638Keywords:
Decision Support System, Elementary School, Multi-Criteria Decision Making, Simple Additive Weighting, Student AchievementAbstract
Selecting high-achieving elementary school students is a multi-criteria decision problem because academic performance alone does not fully represent student achievement. This study proposes a web-based Decision Support System (DSS) to identify outstanding students at Sekolah Dasar Katolik Wikico Kawango using the Simple Additive Weighting (SAW) method. The research design combines system analysis, object-oriented system design using Unified Modeling Language (UML), Waterfall-based development, and black-box functional testing. SAW is applied through criteria identification, criterion weighting, decision matrix construction, normalization by benefit and cost attributes, and calculation of the preference value for each student. The proposed model is intended to make the selection process more structured, transparent, reproducible, and easier to document than a purely manual process. Because the source materials supplied for this drafting stage do not include the school's actual student dataset, criterion weights, or testing records, the numerical ranking results in this manuscript are presented as a validation-ready model, not as empirical findings. The resulting manuscript therefore provides a complete methodological and reporting structure that can be populated with verified school data before submission.
References
Ayan, B., Abacıoğlu, S., & Basilio, M. P. (2023). A comprehensive review of the novel weighting methods for multi-criteria decision-making. Information, 14(5), Article 285. https://doi.org/10.3390/info14050285
Batool, S., Rashid, J., Nisar, M. W., Kim, J., Kwon, H.-Y., & Hussain, A. (2023). Educational data mining to predict students' academic performance: A survey study. Education and Information Technologies, 28, 905–971. https://doi.org/10.1007/s10639-022-11152-y
Ciardiello, F., & Genovese, A. (2023). A comparison between TOPSIS and SAW methods. Annals of Operations Research, 325, 967–994. https://doi.org/10.1007/s10479-023-05339-w
Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.
Dua, T. V. (2023). Combination of design of experiments and Simple Additive Weighting methods: A new method for rapid multi-criteria decision making. EUREKA: Physics and Engineering, (1), 120–133. https://doi.org/10.21303/2461-4262.2023.002733
Ersozlu, Z., Taheri, S., & Koch, I. (2024). A review of machine learning methods used for educational data. Education and Information Technologies, 29, 22125–22145. https://doi.org/10.1007/s10639-024-12704-0
Fergina, A., Sukandar, A., Salsabila, R. N., & Wulandari, A. I. (2025). Decision support system for assessing teacher performance using the Simple Additive Weighting (SAW) method at SMK XYZ. Engineering Proceedings, 107(1), Article 75. https://doi.org/10.3390/engproc2025107075
Gao, Q. (2024). Decision support systems for lifelong learning: Leveraging information systems to enhance learning quality in higher education. Journal of Internet Services and Information Security, 14(4), 121–143. https://doi.org/10.58346/JISIS.2024.I4.007
Hidayat, R. N., Santoso, B., & Sumirat, L. P. (2024). Sistem pendukung keputusan pemilihan siswa berprestasi menggunakan metode Simple Additive Weighting dan Weighted Product. MALCOM: Indonesian Journal of Machine Learning and Computer Science, 5(1), 379–390. https://doi.org/10.57152/malcom.v5i1.1787
Kamilah, N., Nurachman, M. A., & Primasari, D. (2024). Sistem pendukung keputusan dalam menentukan siswa berprestasi menggunakan metode Simple Additive Weighting (studi kasus: MA Sahid). Jurnal PROCESSOR, 19(2). https://doi.org/10.33998/processor.2024.19.2.1864
Khairy, D., Alharbi, N., Amasha, M. A., Areed, M. F., Alkhalaf, S., & Abougalala, R. A. (2024). Prediction of student exam performance using data mining classification algorithms. Education and Information Technologies, 29, 21621–21645. https://doi.org/10.1007/s10639-024-12619-w
Kulkarni, A. J. (Ed.). (2022). Multiple criteria decision making: Techniques, analysis and applications. Springer. https://doi.org/10.1007/978-981-16-7414-3
Lutfi, M. R., Christanto, F. W., & Suasana, I. S. (2025). Implementasi Simple Additive Weighting pada sistem pendukung keputusan pemilihan kegiatan ekstrakurikuler sekolah. JUSIFOR: Jurnal Sistem Informasi dan Informatika, 4(1), 92–101. https://doi.org/10.70609/jusifor.v4i1.7088
Mukred, M., Mokhtar, U. A., Hawash, B., AlSalman, H., & Zohaib, M. (2024). The adoption and use of learning analytics tools to improve decision making in higher learning institutions: An extension of technology acceptance model. Heliyon, 10(4), Article e26315. https://doi.org/10.1016/j.heliyon.2024.e26315
Oktarina, M., Suhandi, N., & Permatasari, I. (2026). Implementation of a decision support system using the Simple Additive Weighting (SAW) method in the new student admission selection process. Journal of Engineering Science and Technology Management, 6(2). https://doi.org/10.31004/jestm.v6i2.385
Otoviany, S., Nanang, O. F., Kristo Derbi, R. T., & Hizkil, M. (2024). Sistem pendukung keputusan dalam pemilihan siswa terbaik di SDS Harapan Bisma dengan metode Simple Additive Weighting (SAW). Jurnal Ilmiah Wahana Pendidikan, 10(12), 618–627. https://doi.org/10.5281/zenodo.12553827
Purtiningrum, S. W., et al. (2025). Design of a decision support system for assessing student indiscipline using the web-based Simple Additive Weighting (SAW) method. Advanced Journal of STEM Education, 3(1), 87–101. https://doi.org/10.31098/ajosed.v3i1.3372
Restrepo-Tamayo, L. M., Gasca-Hurtado, G. P., Machuca-Villegas, L., & Morillo-Puente, S. (2025). Relationship between gamification elements and social and human factors using the Simple Additive Weighting method. PLOS ONE, 20(4), Article e0320419. https://doi.org/10.1371/journal.pone.0320419
Sànchez-Marrè, M. (2022). Intelligent decision support systems. Springer. https://doi.org/10.1007/978-3-030-87790-3
Sari, I. M., & Thyas, L. A. K. (2025). Sistem pendukung keputusan dalam pemilihan siswa-siswi berprestasi menerapkan metode SAW (Simple Additive Weighting). Journal of Computing and Informatics Research, 5(1). https://doi.org/10.47065/comforch.v5i1.2319
Sari, S. T., Wayahdi, M. R., & Mughnyanti, M. (2024). Decision support system to determine the best student at MAS Islamic Center in class XI using a Simple Additive Weighting method. Journal of Technology and Computer, 1(4), 56–60.
Seran, M., Malelak, Y., & Iriane, G. R. (2023). Sistem pendukung keputusan pemberian Kartu Indonesia Pintar berdasarkan kriteria kesejahteraan keluarga dengan menggunakan metode Simple Additive Weighting. Infact: International Journal of Computers, 7(1), 10–14. https://doi.org/10.61179/jurnalinfact.v7i01.389
Setyani, I. A., & Sipayung, Y. R. (2023). Sistem pendukung keputusan menentukan siswa berprestasi dengan metode SAW (Simple Additive Weighting). Jurnal Sistem Komputer dan Informatika (JSON), 4(4), 632–641. https://doi.org/10.30865/json.v4i4.6179
Thakkar, J. J. (2021). Multi-criteria decision making. Springer. https://doi.org/10.1007/978-981-33-4745-8
Ubaydillah, U., & Entas, S. (2026). Sistem pendukung keputusan alokasi guru berbasis web menggunakan metode SAW dengan pendekatan bidang keahlian. Journal of Informatics, Electrical and Electronics Engineering, 5(4). https://doi.org/10.47065/jieee.v5i4.3072
Wulf, C., Mesa Estrada, L. S., Haase, M., Tippe, M., Wigger, H., & Brand-Daniels, U. (2025). MCDA for the sustainability assessment of energy technologies and systems: Identifying challenges and opportunities. Energy, Sustainability and Society, 15. https://doi.org/10.1186/s13705-025-00546-8
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