PENGAMBILAN KEPUTUSAN DENGAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) UNTUK MENENTUKAN PEMBELIAN MESIN TEMPEL
Main Article Content
Abstract
Article Summary
The decision-making system is crucial in business processes to assist decision-makers in making the right decisions. In this case, the determination of the purchase of an outboard motor is a critical decision that requires careful consideration. Therefore, the Simple Additive Weighting (SAW) method is used as a decision-making system in determining the purchase of an outboard motor. The SAW method is used to calculate the relative weight of each selected criterion and to give a value to each alternative based on the given criteria. The criteria used in determining the purchase of an outboard motor include price, brand, features, environmental waste guarantee, quality, and availability of service centers. From the normalized calculation results, Yamaha E40JMHL 40HP became the best outboard motor alternative with a score of 0.8125, and Honda BF 90 DK 2LRTD 0.575 became the less recommended alternative to be chosen for purchase.
Keywords
Article Keywords
Downloads
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 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 a Creative Commons Attribution License (CC-BY 4.0) that allows others to share the work with an acknowledgement 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 acknowledgement 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.
Zavadskas, E.K. and Turskis, Z., 2010. A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technol Econ Dev Econ 16 (2): 159–172. DOI: 10.3846/tede.2010.10
Yeh, C.H., 2002. A problem‐based selection of multi‐attribute decision‐making methods. International Transactions in Operational Research, 9(2), pp.169-181. DOI: https://doi.org/10.1111/1475-3995.00348
Sukma, R.A. 2016. Sistem Pendukung Keputusan Dalam Penentuan Pembelian Notebook Menggunakan Metode SAW (Simple Additive Weighting). Artikel Skripsi Universitas Nusantara PGRI Kediri.
Putri, L.S., Hidayat, N. and Suprapto, S., 2018. Sistem Pendukung Keputusan Pemilihan Mitra Jasa Pengiriman Barang menggunakan Metode Simple Additive Weighting (SAW)–Technique for Other Reference by Similarity to Ideal Solution (TOPSIS) di Kota Malang. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 2(3), pp.1219-1226.
Adianto, T.R., Arifin, Z., Khairina, D.M., Mahakam, G. and Palm, G., 2017. Sistem pendukung keputusan pemilihan rumah tinggal di perumahan menggunakan metode simple additive weighting (saw)(studi kasus: Kota samarinda). Prosiding 2nd SAKTI, 2(1).
Kneuper, R., 2017. Sixty years of software development life cycle models. IEEE Annals of the History of Computing, 39(3), pp.41-54. DOI: 10.1109/MAHC.2017.3481346.
Stauffer, M., 2019. Laravel: Up & running: A framework for building modern php apps. O'Reilly Media.
Berners-Lee, T. and Fischetti, M., 1999. Weaving the Web: The original design and ultimate destiny of the World Wide Web by its inventor. Harper San Francisco.