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All Journal Journal of Computer System and Informatics (JoSYC) Bulletin of Informatics and Data Science
Ahmad Fitri Boy
STMIK Triguna Dharma, Medan
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Pemilihan Komandan Komando Distrik Militer Menggunakan Metode WASPAS Juniar Hutagalung; Ahmad Fitri Boy; Dicky Nofriansyah
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2019

Abstract

At the Military District Command Defense Agency (Kodim) 0201/BS Medan, it requires a Decision Support System (SPK) by applying the web-based Weighted Aggregated Sum Product Assessment (WASPAS) method in the selection process for the Commander of the 0201/BS Medan Kodim. Previously, the selection process was done manually, there were often obstacles in the process of calculating data, assessing, and storing data for each TNI personnel. The process of calculating numbers and data takes quite a long time for the members of the assessment team, so that it has an impact on the selection process that is less than optimal and can affect decision making that must be accurate and fast. The solution to overcome this problem is to create an SPK using the web-based WASPAS method. The purpose of this study is as a recommendation to assist the leadership in selecting the Candidate for the Commander of the Military District Command (Kodim) 0201/BS Medan, quickly even though the data processed is quite large. The calculation results obtained the top 5 alternatives, namely Bina Satria (A7), Azwar (A10), Soni Putrawan Ginting (A3), Agus Miadi (A4), Nirmawan (A2). The ranking after being sorted from the highest Qi value is 0.818261515 under the name of Bina Satria and the lowest Qi value is 0.690876555 under the name of Sabur Utomo
Implementasi Metode Weighted Aggregated Sum Product Assesment (WASPAS) dalam Pemilihan Oli Mesin Sepeda Motor 150 CC Juniar Hutagalung; Ahmad Fitri Boy; M Arief Yahdie
Bulletin of Informatics and Data Science Vol 1, No 2 (2022): November 2022
Publisher : PDSI

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Abstract

There are many types and types of engine lubricating oil, so you must be selective in choosing the right lubricant (oil) to preserve the life time of the engine. With the oil, the friction between the components in the engine becomes smoother and makes it easier for the engine to reach the ideal temperature. Oil is often used to reduce friction (friction), if two surfaces that are attached to each other move, friction will arise. If the engine heat is not absorbed, the wear and tear of engine components will accelerate. The purpose of this study is to implement a decision support system using the Weighted Aggregated Sum Product Assessment (WASPAS) method in selecting the best motorcycle engine oil so that it can assist motorcycle riders in choosing the best engine oil. Motorcycle owners do not experience difficulties and do not need a long time in the selection of engine oil for their motorcycles. The Waspas method can be applied in solving the problem of determining the best lubricant (oil) for 150cc sport motorbikes. The best lubricant (oil) based on the calculation results of 5 alternatives with a value above 0.60, namely deltalube daily with the highest score of 0.6906, repsol mx25 with a value of 0.6902, ahm oil mpx 2 with a value of 0.6644, federal ultratec with a value of 0.6238 and shell advance ax5 with a value of 0.6097. With the application of the desktop-based Waspas method in decision making, it can make it easier for motorcycle owners to select the best lubricant (oil) for 150cc sport motorbikes.
Co-Authors Dicky Nofriansyah Hutagalung, Juniar M Arief Yahdie