Penerapan CBIS Untuk Mendukung Keputusan Manajemen dalam Menghitung Index Kinerja Karyawan PT Devrindo Wydia Karawang Menerapkan Preference Selection Index
DOI:
https://doi.org/10.30865/mib.v4i1.1933Keywords:
Employee Performance Index, Employee Performance, PSI, CBISAbstract
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.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.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
