Sistem Pendukung Keputusan Seleksi Peserta Pelatihan di UPTD BLKK Kolaka dengan Metode TOPSIS
Keywords:
Decision Support System, TOPSIS, Participant Selection, UPTD BLKK KolakaAbstract
The participant selection process for training at UPTD BLKK Kolaka remains manual, resulting in inefficiency and potential subjectivity in decision-making. This paper formulates a Decision Support System (DSS) utilizing the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique to resolve this issue. This method is selected for its ability to yield optimal participant recommendations by evaluating proximity to both positive and negative ideal solutions. The system is constructed utilizing PHP and MySQL for the storage of participant data and computation outcomes. The research phases encompass needs analysis, system design, implementation, and testing using Black Box Testing. The outcomes of manual and system calculations demonstrate consistency in preference values, confirming that the TOPSIS method effectively identifies the most appropriate training participants. This approach accelerates the selection process, enhancing transparency and objectivity. The deployment of a TOPSIS-based Decision Support System is anticipated to enhance efficiency and precision in decision-making, guaranteeing that chosen participants fulfill the requisite requirements
References
[1] G. Mahendra et al., Implementasi Sistem Pendukung Keputusan: Teori & Studi Kasus. PT. Sonpedia Publishing Indonesia, 2023.
[2] Y. Sepriano et al., Multi Criteria Decision Making (Teori dan Praktik). SONPEDIA Publishing Indonesia, 2025.
[3] H. Taherdoost and M. Madanchian, “A Comprehensive Survey and Literature Review on TOPSIS,” Int. J. Serv. Sci. Manag. Eng. Technol., vol. 15, no. 1, pp. 1–65, 2024, doi: 10.4018/IJSSMET.347947.
[4] A. Rizka, “Penerapan Metode TOPSIS Dalam Pemilihan Media Pembelajaran Berbasis Komputer,” Build. Informatics, Technol. Sci., vol. 4, no. 1, pp. 328–336, 2022, doi: 10.47065/bits.v4i1.1640.
[5] N. Sururi, K. Kusrini, and S. Sudarmawan, “Penentuan Wali Kelas Yang Ideal Menggunakan Metode TOPSIS,” Creat. Inf. Technol. J., vol. 5, no. 2, pp. 85–94, 2019, doi: 10.24076/citec.2018v5i2.163.
[6] P. Chen, “A novel coordinated TOPSIS based on coefficient of variation,” Mathematics, vol. 7, no. 7, pp. 1–17, 2019, doi: 10.3390/math7070614.
[7] N. Hasdyna, R. K. Dinata, and S. Retno, “Analysis of the Topsis in the Recommendation System of PPA Scholarship Recipients at Universitas Islam Kebangsaan Indonesia,” J. Transform., vol. 21, no. 1, pp. 28–37, 2023, doi: 10.26623/transformatika.v21i2.7051.
[8] D. V Astonkar, M. Ramachandran, P. Nanjundan, and M. Mani, “Analysis of Blind Spot in Heavy Vehicles Driving Using VIKOR Method,” REST J. Data Anal. Artif. Intell., vol. 1, no. 1, pp. 15–22, 2022, doi: 10.46632/jdaai/1/1/3.
[9] N. Nungsiyati, S. Hartati, and D. W. Aprilianti, “Decision Support System for Selection of Candidates for PASKIBRAKA Using the TOPSIS Method,” J. Tech-E, vol. 4, no. 1, pp. 44–54, 2020, doi: 10.31253/te.v4i1.432.
[10] H. S. Y Sonatha, I Nidauddin, AS Afrah, MN Sutoyo, N Anggraini, DS Simatupang, Darsiti, MA Senubekti, BASIS DATA TERAPAN. CV BRAVO PRESS INDONESIA, 2024.
[11] M. Sutoyo, Perancangan Basis Data Implementasi Microsoft Visual FoxPro 9.0. Yogyakarta: Deepublish, 2018.
[12] A. Paliling and M. Sutoyo, “The selection of SNMPTN applicants using the TOPSIS and rank order centroid (ROC) methods,” Ilk. J. Ilm., vol. 13, no. 2, pp. 272–284, 2021.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Journal Research on Computing Knowledge
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
