DOI: https://doi.org/10.14710/jtsiskom.6.4.2018.135-138

Sistem Pendukung Keputusan untuk Pemutusan Hubungan Kerja Karyawan Menggunakan Metode Elimination and Choice Translation Reality

Decision Support System for Termination of Employment using Elimination and Choice Translation Reality Method

*Mesran Mesran scopus  -  Department of Informatics, STMIK Budi Darma, Indonesia
Rusiana Rusiana  -  Department of Informatics, STMIK Budi Darma, Indonesia
Maringan Sianturi  -  Department of Informatics, STMIK Budi Darma, Indonesia
Received: 10 Jun 2018; Published: 31 Oct 2018.
Fulltext | |
Hasil Perhitungan Penerapan Metode Elemination and Chioce Translation Reality Dalam Penentuan Karyawan Penerima Status Pemutusan Hubungan Kerja
Subject
Type Other
  Download (34KB)    Indexing metadata
Open Access Copyright (c) 2018 Jurnal Teknologi dan Sistem Komputer
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
Abstract
This study aims to develop a decision support system in determining employees which will be laid off. The data used in the research sourced from PT. Mitra Andal Sejati Medan in 2017. This study used the ELECTRE method to conduct an assessment of company employees. The criteria used in the research were absence (C1), appearance (C2), performance (C3), and sales volume (C4). This ELECTRE system can provide an effective decision for termination of employment based on lowest employee rank.

Note: This article has supplementary file(s).

Keywords: decision support system; ELECTRE; termination of employment; employees management
Funding: Department of Informatics, STMIK Budi Darma, Medan

Article Metrics:

Article Info
Section: Original Research Articles
Language : ID
Statistics: 1208 1067
Share:
Related articles
Performance Comparison of Data Mining Classification Algorithms for Early Warning System of Students Graduation Timeliness Improved Accuracy of Classification Comprehension Level of Teaching Materials Using Artificial Neural Networks and Genetic Algorithms Decision Support System in Recommending Best Unit in PDAM Tirta Lihou Using Promethee Method Decision support system using FIS Mamdani for tire pressure determination Tree-based homogeneous ensemble model with feature selection for diabetic retinopathy prediction More related articles
Most cited articles
Intelligent System of Parking Reservation and Monitoring on Campus using Internet of Things Concept Perancangan Sistem Manajemen Restoran dengan Aplikasi Pemesanan Restoran Berbasis Mobile dalam Jaringan Lokal Parallel Spatial Pyramid Convolutional Neural Network for Kinship Verification from Face Images Landfill Gas Monitoring System Based on Internet of Things Optimal Frequency Control System On Wind-Diesel Hybrid Generator With Imperialist Competitive Algorithm More cited articles
  1. Kusrini, Konsep dan Aplikasi Pendukung Keputusan. Yogyakarta: Andi, 2007
  2. D. Nofriansyah and S. Defit, Multi Criteria Decision Making (MCDM) pada Sistem Pendukung Keputusan, Yogyakarta: Deepublish, 2017
  3. M. Mesran, S. Suginam, S. D. Nasution, and A. P. U. Siahaan, “Penerapan Weighted Sum Model (WSM) dalam Penentuan Peserta Jaminan,” Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika), vol. 2, no. 1, pp. 40-47, 2017
  4. H. Nurdiyanto and H. Meilia, “Sistem Pendukung Keputusan Penentuan Prioritas Pengembangan Industri Kecil dan Menengah di Lampung Tengah Menggunakan Analitical Hierarchy Process (AHP),” Semnasteknome dia Online, vol. 4, no. 1, pp. 37-42, 2016
  5. H. A. Herik Sugianto, Y. Yulianti, “Sistem Pendukung Keputusan Pemilihan Tempat Kost Khusus Mahasiswa dengan Metode AHP dan TOPSIS Berbasis Web,” Jurnal Sistem dan Teknolologi Informasi, vol. 1, no. 1, pp. 1-6, 2016
  6. L. Marlinda, “Sistem Pendukung Keputusan Pemilihan Tempat Wisata Yogyakarta Menggunakan Metode Elimination Et Choix Traduisan La Realita (ELECTRE),” in Seminar Nasional Sains dan Teknologi 2016, Jakarta, Indonesia, 8 Nov. 2016, pp. 1–7
  7. M. Mesran, G. Ginting, S. Suginam, and R. Rahim, “Implementation of Elimination and Choice Expressing Reality (ELECTRE) Method in Selecting the Best Lecturer (Case Study STMIK Budi Darma),” International Journal of Engineering Research & Technology, vol. 6, no. 2, pp. 141-144, 2017
  8. F. Setiawan, F. Indriani, and Muliadi, “Implementasi Metode ELECTRE Pada Sistem Pendukung Keputusan SNMPTN Jalur Undangan,” KLIK-Kumpulan Jurnal Ilmu Komputer, vol. 2, no. 2, pp. 88–101, 2015
  9. S. R. Ningsih, I. S. Damanik, I. Gunawan, and W. Saputra, “Sistem Pendukung Keputusan dengan Menggunakan Metode ELECTRE dalam Menentukan Penerima Program Indonesia Pintar (PIL) Melalui Kartu Indonesia Pintar (KIP) (Studi Kasus: SD Swasta Al-Washliyah Moho Kabupaten Simalungun),” KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), vol. 1, no. 1, pp. 264-275, Nov. 2017
  10. H. J. Damanik, I. Parlina, H. S. Tambunan, and E. Irawan, “Sistem pendukung keputusan dalam seleksi penyiar radio boss fm 102.8 pematang siantar menggunakan metode ELECTRE,” KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), vol. 1, no. 1, pp. 38-44, 2017
  11. W. W. Ramadhani, “Sistem Pendukung Keputusan dalam Pemilihan Karyawan Terbaik di PT. Smartlink Global Media dengan Metode Weight Product,” Skripsi, Universitas Muhammadiyah Surakarta, 2017
  12. I. D. A. E. Yuliani, “Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik dengan Metode Analytical Hierarchy Process,” Jurnal Sisfotenika, vol. 3, no. 2, pp. 105-114, 2013
  13. I. H. Firdaus, G. Abdillah, and F. Renaldi, “Sistem Pendukung Keputusan Penentuan Karyawan Terbaik Menggunakan Metode AHP dan TOPSIS,” in Seminar Nasional Teknologi Informasi dan Komunikasi 2016 (SENTIKA 2016), Yogyakarta, Indonesia, Mar. 2016, pp. 440-445
  14. G.-H. Tzeng and J.-J. Huang, Multiple Attribute Decision Making Method And Applications. CRC Press, 2011

Last update: 2021-03-05 17:15:44

No citation recorded.

Last update: 2021-03-05 17:15:46

No citation recorded.
Copyright (c) 2018 Jurnal Teknologi dan Sistem Komputer
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Starting in 2021, the author(s) whose article is published in the JTSiskom journal attain the copyright for their article. By submitting the manuscript to JTSiskom, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that their article is original, written by the mentioned author(s), has never been published before, does not contain statements that violate the law, does not violate the rights of others, is subject to copyright that is held exclusively by the author(s), and is free from the rights of third parties, and that the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

  • Copyright and other proprietary rights related to articles, such as patents,
  • The right to use the substance of the article in its own future works, including lectures and books,
  • The right to reproduce articles for its own purposes,
  • The right to archive articles yourself (please read our deposit policy), and
  • The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of articles (for example, posting them to institutional repositories or publishing them in a book), with acknowledgment of its initial publication in this journal (Journal of Technology and Computer Systems).

If the article was prepared jointly by more than one author, each author submitting the manuscript warrants that they have been given permission by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agree to notify the co-authors of the terms of this policy. JTSiskom will not be held responsible for anything that may arise because of the writer's internal dispute. JTSiskom will only communicate with correspondence authors.

Authors should also understand that once published, their articles (and any additional files, including data sets, and analysis/computation data) will become publicly available. The license of published articles (and additional data) will be governed by the Creative Commons Attribution license as currently featured on the Creative Commons Attribution-ShareAlike 4.0 International License. JTSiskom allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JTSiskom to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.