Published: 2021-03-30
Aplikasi Perbandingan Pemilihan Guru Private Homeschooling menggunakan Algoritma Simple Additive Weighting (SAW) dan Weight Product Berbasis Web
DOI: 10.35870/jtik.v5i1.195
Raka Adji Setiawan, Fauziah Fauziah, Ratih Titi Komala Sari
- Raka Adji Setiawan: Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional , Affiliation name not available , Indonesia
- Fauziah Fauziah: Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional , Affiliation name not available , Indonesia
- Ratih Titi Komala Sari: Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional , Affiliation name not available , Indonesia
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Abstract
This study aims to compare the selection of private homeschool teachers using the Simple Additive Weighting (SAW) and Weight Product (WP) algorithms, the criteria that have been taken by the author to calculate their weight in selecting private teachers who excel and provide convenience with an assessment based on criteria. In this effort, the authors can build a private teacher selection system with the Simple Additive Weighting (SAW) algorithm to find the total weights of the teacher performance rating for each alternative on all attributes and compare it to the Weight Product (WP) algorithm using the multiplication technique to link the attribute rating. where the attribute type rating must be ranked first with the associated weight attribute. From the results of this study, the authors have described how the design and application of SAW and WP in making a Decision Support System in selecting private homeschooling teachers.
Keywords
Simple Additive Weighting (SAW) ; Weight Product (WP) ; Decision Support Systems ; Teacher Selection ; Homeschooling
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Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 5 No. 1 (2021)
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Section: Computer & Communication Science
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Published: %750 %e, %2021
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License: CC BY 4.0
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Copyright: © 2021 Authors
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DOI: 10.35870/jtik.v5i1.195
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Alamsyah, Z., & Gustian, D. 2019. Sistem Pendukung Keputusan Menggunakan Metode Weighted Product Dan Simple Additive. Sistem Pendukung Keputusan Menggunakan Metode Weighted Product Dan Simple Additive, 3(1), 129–137. http://journals.upi-yai.ac.id/index.php/ikraith-informatika/article/view/310.
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Simarmata, J., Limbong, T., Aritonang, M., & Sriadhi, S. 2018. Sistem Pendukung Keputusan Pemilihan Guru Bidang Studi Komputer Menggunakan Metode Simple Additive Weighting (Saw). Computer Engineering, Science and System Journal, 3(2), 186. https://doi.org/10.24114/cess.v3i2.10400.
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Nardiono, N. 2017. Komparasi Metode Simple Additive Weightin (SAW) dan Metode Weighted Product (WP) dalam Menentukan Karyawan Terbaik (Studi Kasus: PT. Matrixnet Global Indonesia). Jurnal Informatika Universitas Pamulang, 2(1), 25. https://doi.org/10.32493/informatika.v2i1.1502.
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Nurjaya. 2017. Perbandingan Metode SAW Dengan Metode WP Pada Sistem Seleksi Karyawan Tetap. Prosiding Seminar Nasional SNTIBD 2017, January 2017, 369–372. https://doi.org/10.13140/RG.2.2.21425.63841.
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Berlilana, B., Prayoga, F. D., & Utomo, F. S. 2018. Implementasi Simple Additive Weighting dan Weighted Product pada Sistem Pendukung Keputusan untuk Rekomendasi Penerima Beras Sejahtera. Jurnal Teknologi Informasi Dan Ilmu Komputer, 5(4), 419. https://doi.org/10.25126/jtiik.201854768.
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Wira Trise Putra, D., & Agustian Punggara, A. 2018. Comparison Analysis of Simple Additive Weighting (SAW) and Weigthed Product (WP) in Decision Support Systems. MATEC Web of Conferences, 215, 1–5. https://doi.org/10.1051/matecconf/201821501003.
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Muslihudin, M., Trisnawati, Mukodimah, S., Hashim, W., Ayshwarya, B., Nguyen, P. T., Shankar, K., Peteraitis, S. K., & Maseleno, A. 2019. Performance of saw and wp method in determining the feasibility of motorcycle engineering workshop for competency test of vocational high school student. International Journal of Recent Technology and Engineering, 8(2 Special Issue 2), 348–353. https://doi.org/10.35940/ijrte.b1060.0782s219.
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Ramadiani, Kurniawan, R., Kridalaksana, A. H., & Jundillah, M. L. 2019. Decision Support Systems Selection of Soang Superior Brood Using Weighted Product (WP) and Simple Additive Weighting (SAW) Method. E3S Web of Conferences, 125(January). https://doi.org/10.1051/e3sconf/201912523004.
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Setyawan, A., Arini, F. Y., & Akhlis, I. 2017. Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara. Scientific Journal of Informatics, 4(1), 34–42. https://doi.org/10.15294/sji.v4i1.8458.
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Adriyendi. Multi-Attribute Decision Making Using Simple Additive Weighting and Weighted Product in Food Choice. 2015. International Journal of Information Engineering and Electronic Business, 7(6), 8–14. https://doi.org/10.5815/ijieeb.2015.06.02.

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