Page Header Logo
Journal Content
Browse
  • By Issue
  • By Author
Information
  • For Readers
  • For Authors
  • For Librarians
Current Issue
Atom logo
RSS2 logo
RSS1 logo
  • Submission
  • Author Guidelines
  • Review Process
  • Access Policy
  • Processing Charges
  • Publication Ethics and Malpractice Statement

Template word

Similarity Checker

Cover Page

Statistik

Statistics Visitors


Flag Counter

  • Home
  • Current
  • Announcement
  • Archive
  • Editorial Team
  • Reviewers
  • Contact us
  • Search
Home > Articles

Sistem Penunjang Keputusan dalam Optimalisasi Pemberian Insentif terhadap Pemasok Menggunakan Metode TOPSIS

  • Vicky Setia Gunawan
    Universitas Putra Indonesia YPTK Padang

  • Yuhandri Yunus
    Universitas Putra Indonesia YPTK Padang


DOI: https://doi.org/10.37034/infeb.v3i3.86
Keywords: Decision Support System, Technique for Others Preference by Similarity to Ideal Solution, Incentives, Providing Incentives, Supplier

Abstract

Generally, every company must have an assessment of the supplier of materials in order to maintain the quality of their production. When a supplier gets a good rating, the company usually gives awards such as incentives to the supplier in the hope of increasing motivation, professionalism and good relations with the company. The determination of incentives is currently only based on analysis of existing data records manually, which may lead to errors. From previous observations, a decision support system was created in the optimization of incentives. This study aims to optimize the results of decisions in providing incentives to suppliers. The method used is Technique for Others Preference by Similarity to Ideal Solution (TOPSIS). This method can determine which suppliers are entitled to incentives. The data that is processed in this research comes from PT. Prima Beton Cakrawala. Price, Quality, Delivery, Service and Offer are the assessment criteria for determining incentive recipients. The results of the TOPSIS calculation process can find a more accurate alternative choice decision, because the alternative assessment is in accordance with the specified criteria. Based on the value of the criteria weight for the selection of incentive recipients for each alternative. The results of this study recommend A3 suppliers with a preference value of 0.646 as raw material suppliers who are entitled to receive incentives. Comparisons made between manual calculations and the system built get almost the same results. So that the level of accuracy is 95% accurate enough, so that it can produce factual decision data in order to assist companies in determining incentive recipients so as to increase the motivation of suppliers in providing services. So that it is expected that the leadership can use it as a reference for optimizing decisions on providing incentives.

Downloads

Download data is not yet available.

References

Arliani, H. (2013). Pengaruh Pemberian Insentif Terhadap Kinerja Karyawan pada Industri Kerajinan Kulit “Karya Pahala Group” di Magetan. EQUILIBRIUM : Jurnal Ilmiah Ekonomi dan Pembelajarannya, 1(2). DOI: https://doi.org/10.25273/equilibrium.v1i2.590 .

Lukmandono, L., Basuki, M., Hidayat, M. J., & Setyawan, V. (2019). Pemilihan Supplier Industri Manufaktur dengan Pendekatan AHP dan TOPSIS. OPSI, 12(2), 83. DOI: https://doi.org/10.31315/opsi.v12i2.3146 .

Santiary, P. A. W., Ciptayani, P. I., Saptarini, N. G. A. P. H., & Swardika, I. K. (2018). Sistem Pendukung Keputusan Penentuan Lokasi Wisata dengan Metode Topsis. Jurnal Teknologi Informasi dan Ilmu Komputer, 5(5), 621. DOI: https://doi.org/10.25126/jtiik.2018551120 .

Somya, R., & Wardoyo, R. (2019). Perancangan Sistem Pendukung Keputusan Seleksi Asisten Dosen Menggunakan Kombinasi Metode Profile Matching dan TOPSIS Berbasis Web Service. Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika, 5(1), 44–50. DOI: https://doi.org/10.23917/khif.v5i1.7924 .

Hanifatulqolbi, D., Ismail, I. E., Hammad, J., & Al-Hooti, M. H. (2019). Decision Support System for Considering the Best Teacher Performance Using MOORA Method. In Journal of Physics: Conference Series, 1193. DOI: https://doi.org/10.1088/1742-6596/1193/1/012018 .

Utami, A., & Ruskan, E. L. (2020). Development of Decision Support System for Selection of Yayasan Alumni Scholarship Using MOORA Method. Atlantis Press. DOI: https://doi.org/10.2991/aisr.k.200424.107 .

Setiyaningsih, Wiji. (2015). Konsep Sistem Pendukung Keputusan. Yayasan Edelweis : Malang.

Mahendra, G. S., & Indrawan, I. P. Y. (2020). Metode AHP-TOPSIS Pada Sistem Pendukung Keputusan Penentuan Penempatan Automated Teller Machine. Jurnal Sains dan Teknologi, 9(2), 130-135. DOI: http://dx.doi.org/10.23887/jst-undiksha.v9i2.24592 .

Ismail, M. P. (2018). Sistem Pendukung Keputusan Seleksi Penerimaan Mahasiswa Baru Jalur Beasiswa dengan Metode TOPSIS (Technique For Order Preference By Similarity To Ideal Solution). JIKO (Jurnal Informatika dan Komputer), 3(1), 1. DOI: https://doi.org/10.26798/jiko.2018.v3i1.79 .

Uperiati, A., Kurniawan, H., Prayoga, E., & Ridhwan, M. (2017). Sistem Pendukung Keputusan Seleksi Penerimaan Beasiswa Bidikmisi Menggunakan Metode Topsis dan Metode SAW. Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan, 6(2), 61 - 67.

Efenie, Y., & Hozairi, H. (2019). Implementasi Metode Topsis untuk Analisis Faktor Keberhasilan Pengelolaan Sekolah Berbasis Web. Jurnal Mnemonic, 2(2), 32–37. DOI: https://doi.org/10.36040/mnemonic.v2i2.2274 .

Doni, R., Amir, F., & Juliawan, D. (2019). Sistem Pendukung Keputusan Kenaikan Jabatan Menggunakan Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Prosiding Seminar Nasional Riset Information Science (SENARIS), 1, 69. DOI: https://doi.org/10.30645/senaris.v1i0.9 .

Aktavera, B., Defit, S., & Sumijan, S. (2020). Sistem Penunjang Keputusan dalam Penentuan Prioritas Pembanguanan Menggunakan Metode Trus Base dengan Topsis. Jurnal Informatika Ekonomi Bisnis, 2(4). DOI: https://doi.org/10.37034/infeb.v2i4.76 .

Dawis, A. M. (2020). Sistem Pendukung Keputusan Pemberian Reward Pegawai Menggunakan Metode TOPSIS. Jurnal Ilmiah SINUS, 18(1), 11-24. DOI: http://dx.doi.org/10.30646/sinus.v18i1.429 .

Zulqarnain, M., Dayan, F., & Saeed, M. (2018). Topsis Analysis for the Prediction of Diabetes Based on General Characteristics of Humans. International Journal of Pharmaceutical Sciences and Research, 9(7). DOI: https://doi.org/10.13040/ijpsr.0975-8232.9(7).2932-2939 .

Surya, C. (2018). Penilaian Kinerja Dosen Menggunakan Metode TOPSIS (Studi Kasus : Amik Mitra Gama). Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2(1), 322–329. DOI: https://doi.org/10.29207/resti.v2i1.119 .

Tuslaela, T. (2020). The Scholarship Awarding Decision Support System Uses The Topsis Method. Jurnal Riset Informatika, 2(4), 201–206. DOI: https://doi.org/10.34288/jri.v2i4.154 .

Hertyana, H. (2018). Sistem Pendukung Keputusan Penentuan Karyawan Terbaik Menggunakan Metode Topsis. JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer), 4(1), 43-48 .

DOWNLOAD
Published
2021-03-21
Issue
Vol. 3, No. 3 (2021)
Section
Articles
How to Cite
Gunawan, V. S., & Yunus, Y. (2021). Sistem Penunjang Keputusan dalam Optimalisasi Pemberian Insentif terhadap Pemasok Menggunakan Metode TOPSIS. Jurnal Informatika Ekonomi Bisnis, 3(3), 101-108. https://doi.org/10.37034/infeb.v3i3.86
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver
Download Citation
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX

Copyright (c) 2021 Jurnal Informatika Ekonomi Bisnis

Creative Commons License

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



Indexed:

Index Copernicus International (ICI) Google Scholar

Registered:

Power by:
       

ISSN: 2714-8491 (electronic)
DOI: 10.37034/infeb
Publisher: Rektorat Universitas Putra Indonesia YPTK Padang

Kampus Universitas Putra Indonesia YPTK Padang
Jl. Raya Lubuk Begalung Padang, Sumatera Barat - 25221
Website : http://www.infeb.org | Email : infeb@upiyptk.ac.id