THE MFEP AND MAUT METHODS IN SELECTING THE BEST EMPLOYEES

Dewi Maharani, Maulana Dwi Sena

Abstract


Many companies conduct assessments to improve employee performance, including Ibu Kartini Hospital. Components of performance appraisal, the number of employees, and assess-ment results become the main data of researchers. To avoid subjective and inaccurate judgments because of the large number of elements being assessed and the number of em-ployees to be assessed, the researcher assists the Hospital in finding the best employees by using Decision Support System Technology. Through a comparison of 2 methods, the Multi Factor Evaluation Process (MFEP) and the Multi Attribute Utility Theory (MAUT), the researcher will conduct a com-parative analysis to produce an accurate value. The MFEP method is a method that considers several factors that influ-ence alternatives. While the MAUT method is a method that has a final evaluation scheme with weights and values that are relevant to the alternative. As a result, the MFEP method pro-duces 2 of the best employees, namely KRS52 and KRS59. While the MAUT method produces 1 of the best employees, namely KRS52.

Keywords: maut; mfep; the best employee


Full Text:

PDF

References


H. Hertyana, “Sistem pendukung keputusan penentuan karyawan terbaik menggunakan metode topsis,” J. Ilmu Pengetah. dan Teknol. Komput., vol. 4, no. 1, pp. 43–48, 2018.

A. Alamsyah and N. Salma, “A Comparative Study of Employee Churn Prediction Model,” Proc. - 2018 4th Int. Conf. Sci. Technol. ICST 2018, vol. 1, no. 2, pp. 1–4, 2018, doi: 10.1109/ICSTC.2018.8528586.

Painem and H. Soetanto, “Decision support system with simple additive weighting for recommending best employee,” Int. Conf. Electr. Eng. Comput. Sci. Informatics, pp. 438–441, 2019, doi: 10.23919/EECSI48112.2019.8977031.

Safrizal, L. Tanti, R. Puspasari, and B. Triandi, “Employee Performance Assessment with Profile Matching Method,” 2018 6th Int. Conf. Cyber IT Serv. Manag. CITSM 2018, no. Citsm, pp. 1–6, 2019, doi: 10.1109/CITSM.2018.8674256.

Mujito, B. H. Prasetyo, Subandi, D. Anubhakti, and A. Widjaja, “Selection of Prospective Employees Using Analytical Hierarchy Process (AHP) and ISO 9126,” Proc. ICAITI 2018 - 1st Int. Conf. Appl. Inf. Technol. Innov. Towar. A New Paradig. Des. Assist. Technol. Smart Home Care, pp. 41–45, 2018, doi: 10.1109/ICAITI.2018.8686733.

M. A. Maricar and M. Sudarma, “Decision Support System of the Employees Acceptance using Analytical Hierarchy Process ( AHP ) and Multi Factor Evaluation Process ( MFEP ),” vol. 1, no. 1, pp. 48–54, 2016.

I. Afrianty and R. Umbara, “Sistem Pendukung Keputusan (SPK) Menentukan Kelayakan Calon Penerima Zakat Menerapkan Multi- Factor Evaluation Process (MFEP),” Semin. Nas. Teknol. Informasi, Komun. dan Ind. 8, no. November, pp. 87–94, 2016.

T. Mufizar, E. D. S. Mulyani, R. A. Wiyono, and W. Arifiana, “A Combination of Multi Factor Evaluation Process (MFEP) and the Distance to the Ideal Alternative (DIA) Methods for Majors Selection and Scholarship Recipients in SMAN 2 Tasikmalaya,” 2018 6th Int. Conf. Cyber IT Serv. Manag. CITSM 2018, no. 0265, pp. 1–7, 2019, doi: 10.1109/CITSM.2018.8674338.

R. Purnomo, A. Nurdin, and J. Nangi, “Penerapan Multifactor Evaluation Process (Mfep) Untuk Penilaian Guru (Studi Kasus: Man 1 Kota Kendari),” Semin. Nas. Ris. Kuantitatif Terap., no. April, pp. 76–79, 2017.

E. Satria, N. Atina, M. E. Simbolon, and A. P. Windarto, “SPK : Algoritma Multi-Attribute Utility Theory ( Maut ) Padadestinasi Tujuan Wisata Lokal Di Kota Sidamanik,” vol. 3, no. 2, pp. 168–172, 2018.

R. Soni, S. Jha, A. Patel, K. Fuse, and J. Vora, “Multi-response Optimization of Electric Discharge Machining Using Grey Relational Analysis (GRA) and Multi-attribute Utility Theory (MAUT),” 2020 IEEE 7th Int. Conf. Ind. Eng. Appl. ICIEA 2020, pp. 65–69, 2020, doi: 10.1109/ICIEA49774.2020.9101962.

H. Gunawan and H. Ramadhan, “Increased Accuracy of Selection High Performing Employees Using Multi Attribute Utility Theory (MAUT),” 2018 6th Int. Conf. Cyber IT Serv. Manag. CITSM 2018, no. CITSM, pp. 1–4, 2019, doi: 10.1109/CITSM.2018.8674060.

R. Rumahorbo, “Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Pada Asosiasi Tenaga Ahli Kontruksi Nasional Sumut,” vol. 6, no. 3, pp. 321–325, 2019.

M. A. Dewi, D. F. Murad, and Rosdiana, “Implementation of the SMART Models for Application Development Employee Performance Appraisal,” Proc. 2019 4th Int. Conf. Sustain. Inf. Eng. Technol. SIET 2019, pp. 364–369, 2019, doi: 10.1109/SIET48054.2019.8986044.

A. I. Maghsoodi, G. Abouhamzeh, M. Khalilzadeh, and E. K. Zavadskas, “Ranking and selecting the best performance appraisal method using the MULTIMOORA approach integrated Shannon ’ s entropy,” 2018, doi: 10.1186/s11782-017-0022-6.

D. Maharani, Hidayatullah, and B. Fachri, “Penerapan Metode Analytic Hierarchy Process (Ahp) Sebagai Sistem Pendukung Keputusan Dalam Pemilihan Ketua Organisasi Kampus,” in KeTIK, 2015, p. 44.




DOI: https://doi.org/10.33330/icossit.v1i1.822

Article Metrics

Abstract view : 514 times
PDF - 258 times

Refbacks

  • There are currently no refbacks.