Penerapan Metode TOPSIS dalam Penentuan Kelayakan Penerima Beasiswa KIP
DOI:
https://doi.org/10.37859/jf.v16i2.11999
Abstract
The selection of Kartu Indonesia Pintar (KIP) scholarship recipients requires an objective and systematic decision-making process because it involves multiple social and economic criteria. Manual selection may cause inaccurate targeting due to subjective assessment. This study applies the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to determine the eligibility of KIP scholarship recipients at Universitas Muhammadiyah Pringsewu and evaluates the conformity of the ranking results with actual recipient data using Spearman Rank Correlation. The data consist of 940 KIP scholarship applicants that were cleaned, encoded, and transformed into sixteen decision criteria. Entropy weighting was used to obtain objective criterion weights, followed by TOPSIS calculation to produce preference values and rankings. The results show that TOPSIS recommended 524 of 540 actual recipients, with a decision conformity percentage of 97.04%. The Spearman correlation coefficient reached 0.8479 with a very small p-value, indicating a very strong and significant relationship between TOPSIS rankings and actual data. These findings indicate that TOPSIS is reliable for supporting targeted KIP scholarship selection.
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Wulandari, P. W., Arif, S. N., and Gunawan, R., 2026, Sistem Pendukung Keputusan Dalam Menentukan Masyarakat Yang Layak Menerima Bantuan Pangan Non Tunai (BPNT) Menggunakan Metode Combined Compromise Solution (CoCoSo), 5.
Taherdoost, H., and Madanchian, M., 2023, Multi-Criteria Decision Making (MCDM) Methods and Concepts. Encyclopedia, 3(1), pp. 77-87. doi: https://doi.org/10.3390/encyclopedia3010006.
Winarno, E., Prasetyo, A., and Wijayanto, A., 2023, Decision Support System for Indonesia Smart Card (KIP) Scholarship Selection Using the AHP and VIKOR Method Integrated with EKTP. E3S Web of Conferences, 448, pp. 1-10. doi: https://doi.org/10.1051/e3sconf/202344802035.
Anggrawan, A., Mayadi, Satria, C., and Putra, L. G. R., 2022, Scholarship Recipients Recommendation System Using AHP and Moora Methods. International Journal of Intelligent Engineering and Systems, 15(2), pp. 260-275. doi: https://doi.org/10.22266/ijies2022.0430.24.
Julian, K. R., and Tedjabuwana, R., 2025, Penyamaran Status Sosial dalam Pemanfaatan Beasiswa KIP-K. Wajah Hukum, 9(2), p. 512. doi: https://doi.org/10.33087/wjh.v9i2.1842.
Liu, J., Song, Z., Xie, Y., and Zhang, Z., 2025, Enhancing Management Strategy Evaluation: Implementation of a TOPSIS-Based Multi-Criteria Decision-Making Framework for Harvest Control Rules. Fishes, 10(4). doi: https://doi.org/10.3390/fishes10040140.
Setiawansyah, 2026, Comparative Analysis of CODAS, TOPSIS, and COCOSO Methods Using Objective Weighting in Multi-Criteria Decision Support Systems, 5, pp. 25-45.
Sari, W. E., B, M., and Rani, S., 2021, Perbandingan Metode SAW dan TOPSIS pada Sistem Pendukung Keputusan Seleksi Penerima Beasiswa. Jurnal Sisfokom (Sistem Informasi Dan Komputer), 10(1), pp. 52-58. doi: https://doi.org/10.32736/sisfokom.v10i1.1027.
Rahayu, I. P., Wijayanto, H., and Husodo, A. Y., 2026, Multi-Criteria Decision Making in KIP-K Scholarship Selection Using AHP, TOPSIS, and Skyline Query. Jurnal Penelitian Pendidikan IPA, 11(12), pp. 1292-1303. doi: https://doi.org/10.29303/jppipa.v11i12.12032.
Alam, S., and Suryani, S., 2024, Komparasi Metode Multi-Criteria Decision Making dalam Penentuan Penerima Beasiswa. Digital Transformation Technology, 4(1), pp. 558-568. doi: https://doi.org/10.47709/digitech.v4i1.4390.
Liga Mayola, Guswandi, D., Safitri, W., Hafiz, M., and Yuhandri, M., 2023, Perbandingan Tingkat Akurasi SAW-TOPSIS dalam Penilaian Kelayakan Proposal. Jurnal KomtekInfo, 10, pp. 101-108. doi: https://doi.org/10.35134/komtekinfo.v10i3.415.
Supriyanta, Sutanto, Y., Susilo, D., Setyadi, H. A., and Syukron, A., 2025, Multi-Criteria Decision Making Method for Developing Smart Indonesia Program Scholarship Recipient Candidate System. International Journal on Informatics Visualization, 9(6), pp. 2510-2518. doi: https://doi.org/10.62527/joiv.9.6.3706.
Septiana, Y., Nuraeni, F., and Anisa, K., 2022, Decision Support System for The Program Indonesia Pintar Scholarship Using Simple Additive Weighting Method. Sinkron, 7(4), pp. 2311-2316. doi: https://doi.org/10.33395/sinkron.v7i4.11786.
Tempola, F., Rosihan, R., and Adawiyah, R., 2021, Holdout Validation for Comparison Classfication Naive Bayes and KNN of Recipient Kartu Indonesia Pintar. IOP Conference Series: Materials Science and Engineering, 1125(1), 012041. doi: https://doi.org/10.1088/1757-899x/1125/1/012041.
Kristania, Y. M., 2023, Penerapan Combined Compromise Solution Method Dalam Penentuan Penerima Beasiswa. CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics, 1(2), pp. 44-55. doi: https://doi.org/10.58602/chain.v1i2.27.
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