Aplikasi Sistem Penujang Keputusan Penilaian Karyawan Terbaik dengan Metode Multi Attributive Border Approxmation Area Comparsion (MABAC) (Studi Kasus : PT. Wirasandi)
Keywords:
Decision Support System, Employee Evaluation, MABAC Method, Multi-Attributive Border Approximation Area ComparisonAbstract
Employee performance evaluation is an important process in improving company productivity and work quality. However, the employee evaluation process at PT. Wirasandi was previously conducted manually, which could lead to subjectivity and inaccuracies in decision making. Therefore, this study aims to design and develop a Decision Support System (DSS) application for selecting the best employees using the Multi-Attributive Border Approximation Area Comparison (MABAC) method. The system is developed as a web-based application using PHP as the programming language and MySQL as the database management system.
The MABAC method is applied to assist decision making by considering multiple evaluation criteria that have been determined. The stages of the MABAC method include constructing the decision matrix, normalization, weighting, determining the border approximation area, and calculating preference values to rank employees. The results of system testing using White Box and Black Box testing methods indicate that all system functions operate according to the specified requirements. The developed application is able to generate employee rankings objectively, accurately, and systematically. Therefore, this decision support system is expected to assist the management of PT. Wirasandi in determining the best employees effectively and efficiently.
References
Dermawan, R., & Sinurat, S. (2021). Penerapan Metode Metode Multi-Attribut Border Approximation Area Comparison (MABAC) dalam Penentuan Akademi Kebidanan (AKBID) Terbaik. J. Comput. Syst. Informatics, 3(1), 1-8.
Barus, E. B. (2022). Sistem Pendukung Keputusan Pemilihan Best Employee Dengan Menerapkan Metode MABAC. TIN Terap. Inform. Nusant, 2(9), 551-557.
Laila, F., & Hasibuan, N. A. (2021). Pemilihan Pengangkatan Karyawan Tetap Menerapkan Metode Multi-Attributive Border Approximation Area Comparison. Journal of Informatics Management and Information Technology, 1(1), 5-12.
Tampubolon, E. A., & Damayanti, F. (2024). Perancangan Sistem Pendukung Keputusan Pemilihan Smartphone Dengan Metode MABAC(Multi Objective Border Approximation Area Comparision). J. Ilmu Komput. Dan Sist. Komput. Terap. JIKSTRA, 6, 134-145.
Sintaro, S. (2024). Multiple Criteria Decision Making Penentuan Juara Lomba Roasting Kopi Menggunakan Multi-Attributive Border Approximation Area Comparison. Jurnal Ilmiah Computer Science, 2(2), 58-69.
Johana, L., Purwadi, S., & Elfitriani, S. (2019). Sistem Pendukung Keputusan Pemilihan Supplier Kaca Dengan Menggunakan Metode Multi Attributive Border Approximation Area Comparison (MABAC) Pada UD. Delta Glass. Jurnal Cyber Tech, 2(10).
Atim, S. B. (2024). Penerapan Metode Multi-Attributive Border Approximation Area Comparison Dalam Rekomendasi Pemilihan Mobil Second. Journal of Information Technology, Software Engineering and Computer Science (ITSECS), 2(2), 99-110.
Sari, F., & Satria, D. (2024). Peningkatan Produktifitas Penilaian Kinerja Karyawan Menggunakan Metode Mabac dalam Sistem Pendukung Keputusan. INFORMATIKA, 16(2), 351-357.
Sintaro, S. (2024). Penerapan Rank Reciprocal dan Multi-Attributive Border Approximation Area Comparison Untuk Penentuan Lokasi Cafe Baru. Journal of Artificial Intelligence and Technology Information (JAITI), 2(1), 26-37.
Hondro, R. K. (2018). MABAC: pemilihan penerima bantuan rastra menggunakan metode multi-attributive border approximation area comparison. Jurnal Mahajana Informasi, 3(1), 41-52.
Barus, E. B. (2022). Sistem Pendukung Keputusan Pemilihan Best Employee Dengan Menerapkan Metode MABAC. TIN Terap. Inform. Nusant, 2(9), 551-557.
