Perbandingan Metode AHP dan TOPSIS untuk Pemilihan Karyawan Berprestasi

Abstract

This study designed a system to determine outstanding employee selection using a Decision Support System (DSS) with the Analytical Hierarchy Process (AHP) method and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The purpose of this study is to analyze the accuracy in making decisions. The stages of this research are collecting employee data and criteria data, then weighting the criteria and assessment, after that the calculation uses the AHP and TOPSIS methods, and the last step is the analysis of the calculation results and the calculation of accuracy. The criteria used are attendance, years of service, permission, and discipline. Implementation for building applications using the PHP programming language and MySQL database. The results of the calculation of the accuracy obtained by the AHP method are 100%, as well as the TOPSIS method at 100%. The results of the AHP calculation show that the first rank results are obtained with a value of 0.02525, namely employees with code K8, while the results of the TOPSIS calculation show that the first rank results are obtained with a value of 0.955236913, namely employees with code K8. This shows that the two methods have the same results in determining the first rank of employees, however the TOPSIS method is better than AHP because the TOPSIS calculation process is carried out twice normalization so that it does not produce the same value.

Enhancing Employee Motivation: A TOPSIS-Based Decision Support System for Incentive Allocation through Performance Evaluation

“…The results are obtained as in the Table 9. Calculate the preference value of each alternative using formula (7).…”

“…It is a computer-based system that can collect and process information data to be helpful so that it can assist in making decisions by utilizing data and models to solve structured and unstructured problems [7].…”

“…A decision support system is part of an information system that an organization uses to manage data into information as a reference in making semi-structured and unstructured decisions [7], so that it can increase effectiveness when making decisions and be more objective [8]. The best decisions can be obtained from an objective process and can be completed using a decision support system [9].…”

Sistem Penerimaan Asisten Laboratorium Komputer Dengan Menggunakan Metode Analytical Hierarcy Process (AHP) Dan Simple Multi Attribute Rating Technique (SMART)

“…Permasalahan multikriteria yang sangat lengkap menjadi suatu hirarki diselesaikan dengan metode AHP [14]. Metode AHP sangat efektif untuk menyelesaikan masalah-maslah yang lengkap [15].…”

Sistem Pendukung Keputusan Pemilihan Bibit Padi Unggul Menggunakan Metode AHP

“…Menghasilkan system keputusan pendukung untuk memilih kulit ular yang layak dijadikan kerajinan kulit dengan metode AHP dilakukan oleh Sari dkk dengan kriteria pembobotan meliputi Python, Sunbeam, Radiata dan 207 disarankan adalah Bisi 18 (Fatayat et al, 2022). Penelitian terdahulu yang dilakukan oleh Sunardi dkk dalam implementasi perhitungan pegawai terbaik menggunakan metode AHP alternatif yang didapat 100% sama dengan perhitungan tidak menggunakan metode, sedangkan dengan menggunakan metode SAW memiliki perbedaan sebanyak 33,33% (Sunardi & Kriestanto, 2016). Dari kajian literatur tersebut AHP memiliki keunggulan dalam pembobotan dan peningkatan akurasi pada sistem pendukung keputusan.…”