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All Journal ADA Journal of Information System Research
Dwika Asrani
STMIK Mulia Darma, Rantauprapat
Computer Science & IT

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Sistem Pendukung Keputusan Penentuan Mekanik Terbaik Menerapkan Metode Simple Additive Weighting (SAW) Frieyadie; Irfan Nainggolan; Dwika Asrani
ADA Journal of Information System Research Vol. 1 No. 2 (2024): February 2024
Publisher : ADA Research Center

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Abstract

PT.Arista Auto Lestari Ringrood Branch is an automotive company located in Medan City. Currently, the increasing number of mechanics employed by automotive companies makes the diversity of mechanics increasingly complex, making it difficult to choose the best mechanic. Therefore, it is necessary to develop a decision support system as an alternative solution, so that it can increase efficiency and effectiveness in selection and improve quality in determining the best mechanic. The decision support system for determining the best mechanic uses the SAW (simple additive weighting) method based on predetermined criteria and weights. The criteria used as indicators are Discipline, Initiative, Achievement, Cooperation, Order, Performance and social. The SAW (simple additive weighting) method was chosen because it is able to select the best alternative from a number of alternatives. This research was carried out by looking for the weight of each attribute, then ranking was carried out to determine the best mechanic. The results of this research are in the form of a decision support application, which can recommend the best mechanic at PT Arista Auto Lestari Ringrood Branch.
Penerapan Metode WP dan ROC dalam Pemilihan Siswa Peserta Olimpiade Sains Dwika Asrani; Delis Marnyu Telaumbanua; Aldi Chandra Maulana; Rima Tamara Aldisa
ADA Journal of Information System Research Vol. 1 No. 2 (2024): February 2024
Publisher : ADA Research Center

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Abstract

The organizers of the National Science Olympiad (OSN) aim to find talent, interest and learn to compete, increase knowledge in the field of science which is carried out once a year. The process of selecting prospective OSN participants who pass the selection is not an easy thing because the school has to select one student at a time. So that a decision support system for selecting prospective OSN participants is needed using the Weighted Product WP method to efficiently select prospective OSN participants. To select students who will take part in OSN using the Weighted Product WP and Rank Order Centroid ROC methods, use the criteria for subject scores (containing 6 subject matter) or those related to subject matter in OSN, academic achievement, OSN experience. The results obtained with the WP and ROC methods the school can efficiently recommend prospective participants who will take part in OSN because there is no need to select students one by one. . In this study, the highest ranking results were given to Alternative 2 named Bagas with a value of 0.261.
Co-Authors Aldi Chandra Maulana Delis Marnyu Telaumbanua Frieyadie Irfan Nainggolan Rima Tamara Aldisa