Implementasi Metode Topsis Untuk Menentukan Karyawan Terbaik Pada Bengkel dan Variasi TJM Pringsewu

Nungsyati Nungsyati(1), Asifa Primeidila(2), Muhamad Muslihudin(3),


(1) Prodi Sistem Informasi, Institut Bakti Nusantara, Lampung
(2) Prodi Sistem Informasi, Institut Bakti Nusantara, Lampung
(3) Prodi Sistem Informasi, Institut Bakti Nusantara, Lampung
Corresponding Author

Abstract


This research was conducted at Bengkel dan Variasi TJM Pringsewu, which provides car maintenance and customization services. The main objective of this study is to apply the TOPSIS method in determining the best employee through a mobile web-based platform. The TOPSIS method was chosen for its ability to provide objective and systematic assessments based on five criteria: Teamwork, Work Results, Discipline, Skills, and Work Ethics. Data were collected through observation, interviews, and literature studies. The analysis results show that alternative A11 was selected as the best employee with the highest score, both through manual calculation and using Excel. The system proved to be fast and accurate in the assessment process, making the implementation of TOPSIS effective in supporting employee performance improvement.


Keywords


TOPSIS, best employee, TJM Pringsewu Workshop

References


E. Turban, J. E. Aronson, and T.-P. Liang, Decision Support Systems and Intelligent Systems, 7th ed. Prentice Hall, 2004.

B. E. Turban, J. E. Aronson, and T. Liang, Decision Support System and Intelegent System, 7th Ed. Ji. Yogyakarta: Penerbit Andi Yogyakarta, 2005.

E. Turban, J. E. Aronson, and T.-P. Liang, “Decision Support Systems and Intelligent Systems,” Decis. Support Syst. Intell. Syst., vol. 7, p. 867, 2007.

E. Turban, R. Sharda, and D. Delen, Decision Support and Business Intelligence Systems. Chapter 6 Artificial Neural Networks for Data Mining, vol. 8th. 2007.

R. S. Pressman, Software Engineering A Practitioner’s Approach. New York: Thomas Casson, 2001.

S. M. Muhamad Muslihudin, Fauzi, Satria Abadi, Trisnawati, Implementasi Konsep Decision Support System & Fuzzy Multiple Attribute Decision Making (Fmadm). Bandung: Penerbit Adab, 2021.

R. J. G. S. McLeod, Sistem Informasi Manajeman. 2004.

S. Kusumadewi, S. Hartati, A. Harjoko, and Retanto Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). Yogyakarta: Graha Ilmu, 2013.

S. Kusumadewi, S. Hartati, A. Harjoko, and Retantyo Wardoyo, “Fuzzy Multi Attribute Decision Making (FUZZY MADM),” Ed. Pertama Cetakan Pertama. Graha Ilmu. Yogyakarta., 2006.

R. T. A. R. Esti Yuandari, Metodologi Penelitian Dan Statistik. Bogor: In Media, 2017.

Sugiyono, Metodologi Penelitian Kuantitatif, Kualitatif dan R&D. Jakarta: Jakarta, 2017.

Sudaryono, Metodologi Riset di Bidang Tl ( Panduan Praktis, Teori dan Contoh Kasus). Yogyakarta: Penerbit Andi Yogyakarta, 2015.

S. Siyoto and M. Ali Sodik, Dasar Metodologi Penelitian. Literasi Media Publishing, 2015.

U. N. Mandiri, C. Melayu, J. Timur, and P. K. Terbaik, “Penerapan Metode Analytic Hierarchy Process ( AHP ) untuk Pemilihan Karyawan Terbaik,” no. 1, 2023.

A. Muljadi, A. Khumaidi, and N. L. Chusna, “Implementasi Metode TOPSIS Untuk Menentukan Karyawan Terbaik Berbasis Web Pada PT . Mun Hean Indonesia,” vol. 8, no. 2, pp. 101–113, 2020.

O. Muhammad Muslihudin, Analisis Dan Perancangan Sistem Informasi Menggunakan Model Terstruktur Dan UML. Yog: Andi Offset, 2016.

S. A. Muhamad Muslihudin, Fauzi, Metode Desain & Analisis Sistem Informasi Membangun Aplikasi Dengan UML Dan Model Terstruktur. Yogyakarta: Andi Offset, 2021.

M. Aghajani Mir et al., “Application of TOPSIS and VIKOR improved versions in a multi criteria decision analysis to develop an optimized municipal solid waste management model,” J. Environ. Manage., vol. 166, 2016.

Z. Yue, “TOPSIS-based group decision-making methodology in intuitionistic fuzzy setting,” Inf. Sci. (Ny)., vol. 277, 2014.

S. K. Patil and R. Kant, “A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers,” Expert Syst. Appl., vol. 41, no. 2, 2014.


Full Text: PDF

Article Metrics

Abstract View : 281 times
PDF Download : 118 times

DOI: 10.56327/jtksi.v8i2.1813

Refbacks

  • There are currently no refbacks.