Penerapan CBIS Untuk Mendukung Keputusan Manajemen dalam Menghitung Index Kinerja Karyawan PT Devrindo Wydia Karawang Menerapkan Preference Selection Index

Tubagus Ahmad Darojat

Abstract


In this study, the authors applied a method in the computer information base system (CBIS), the Preference Selection Index, or known as the PSI method. It aims to produce a preference index of each employee, which later the index value is used as a measure of employee performance so it is known as the Employee Performance Index. Alternative data from the study the author uses 30 data as samples to be calculated Employee Performance Index. In addition to employee data, the author also uses several criteria in measuring the Employee Performance Index, such as discipline, loyalty, years of service, sanctions and reprimands, education. These criteria greatly affect the assessment of employee performance index. It is expected that the results of the measurement provide the right decision for employees in calculating the Employee Performance Index.

Keywords


Employee Performance Index, Employee Performance, PSI, CBIS

Full Text:

PDF

References


J. Hutahaean, Konsep Sistem Informasi. Deepublish, 2018.

J. Simarmata, Pengenalan Teknologi Komputer dan Informasi. Yogyakarta: Andi, 2006.

Kusrini, Konsep dan Aplikasi Sistem Pendukung Keputusan. 2007.

M. Mesran, T. M. Diansyah, and F. Fadlina, “Implemententasi Metode Rank Order Cendroid (ROC) dan Operational Competitiveness Rating Analysis (OCRA) dalam Penilaian Kinerja Dosen Komputer Menerapkan (Studi Kasus: STMIK Budi Darma),†Pros. Semin. Nas. Ris. Inf. Sci., vol. 1, no. 0, pp. 822–834, Sep. 2019.

S. H. Sahir et al., “The Preference Selection Index method in determining the location of used laptop marketing,†Int. J. Eng. Technol., vol. 7, no. 3.4 Special Issue 4, 2018.

E. Purba, “Peranan Teknologi Informasi Dalam Mengefektifkan Keputusan Pemberian Dana Corporate Social Responsibilty ( CSR ),†Media Inform. Budidarma, vol. 2, no. 3, pp. 69–75, 2018.

D. Nofriansyah, Konsep Data Mining Vs Sistem Pendukung Keputusan. 2015.

S. Kusumadewi, S. Hartati, A. Harjoko, and R. Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). Yogyakarta: Graha Ilmu, 2006.

D. Nofriansyah and S. Defit, Multi Criteria Decision Making (MCDM) pada Sistem Pendukung Keputusan. 2018.

Mesran, J. Afriany, and S. H. Sahir, “Efektifitas Penilaian Kinerja Karyawan Dalam Peningkatan Motivasi Kerja Menerapkan Metode Rank Order Centroid (ROC) dan Additive Ratio Assessment (ARAS),†Semin. Nas. Ris. Inf. Sci., vol. 1, no. September, pp. 813–821, Sep. 2019.

S. H. Sahir et al., “The Preference Selection Index Method in Determining the Location of Used Laptop Marketing,†Int. J. Eng. Technol., vol. 7, pp. 260–263, 2018.

M. K. Siahaan, M. Mesran, S. A. Hutabarat, and J. Afriany, “Sistem Pendukung Keputusan Penentuan Prioritas Pembangunan Daerah Menerapkan Metode Preference Selection Index (PSI),†KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 2, no. 1, pp. 370–375, 2018.

Mesran, K. Tampubolon, R. D. Sianturi, F. T. Waruwu, and A. P. U. Siahaan, “Determination of Education Scholarship Recipients Using Preference Selection Index,†Int. J. Sci. Res. Sci. Technol., vol. 3, no. 6, pp. 230–234, 2017.

M. Madić, J. Antucheviciene, M. Radovanović, and D. Petković, “Determination of laser cutting process conditions using the preference selection index method,†Opt. Laser Technol., vol. 89, no. October 2016, pp. 214–220, 2017.

F. Syahputra, M. Mesran, I. Lubis, and A. P. Windarto, “Sistem Pendukung Keputusan Pemilihan Guru Berprestasi Kota Medan Menerapkan Metode Preferences Selection Index (Studi Kasus : Dinas Pendidikan Kota Medan),†KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 2, no. 1, pp. 147–155, 2018.

R. Khorshidi and A. Hassani, “Comparative analysis between TOPSIS and PSI methods of materials selection to achieve a desirable combination of strength and workability in Al/SiC composite,†Mater. Des., vol. 52, no. June, pp. 999–1010, 2013.

B. Vahdani, S. M. Mousavi, and S. Ebrahimnejad, “Soft computing-based preference selection index method for human resource management,†J. Intell. Fuzzy Syst., vol. 26, no. 1, pp. 393–403, 2014.




DOI: https://doi.org/10.30865/mib.v4i1.1933

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 JURNAL MEDIA INFORMATIKA BUDIDARMA

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


JURNAL MEDIA INFORMATIKA BUDIDARMA
Universitas Budi Darma
Secretariat: Sisingamangaraja No. 338 Telp 061-7875998
Email: mib.stmikbd@gmail.com

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.