Decision Support System to Choose Drinks with The Weight Product (WP) Method

MUHAMMAD IMAM, DIANA and MUHAMMAD, RIZKILLAH (2022) Decision Support System to Choose Drinks with The Weight Product (WP) Method. Jurnal Teknik Informatika C.I.T Medicom. (Submitted)

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Mataram city is one of the cities in the Unitary State of the Republic of Indonesia (NKRI), especially the capital city of West Nusa Tenggara province. Mataram City has 15,746 micro-enterprises. One of these micro-enterprises is a coffee shop. The number of coffee shops in the Mataram city area is currently approximately 50 coffee shops. Many forms and choices of drinks sell in coffee shops make buyers confused when choosing which beverage product to consume. Necessary to decide to choose beverage products with a Decision Support System Using the Weighted Products order to assist in the selection of beverages when placing an order at a coffee shop that suits the needs of buyers. Only 2 basic types of drinks are usually ordered at coffee shops, namely coffee, and milk. Multiply all the alternative weighted attributes, as the strength for the positive attribute values and the profit are used for negative, while the cost is used for the Si vector. The multiplication results are added together to get alternative results. Do the division between Si and the sum of Si (∑Si). Produce the best alternative sequence used for decision-making. the decision to choose drinks in the city of Mataram using the Weighted Product (WP) with several criteria, namely price, composition, type of drink, and size. From the results of calculations carried out the type of coffee milk drink obtained the highest value, namely 0.016, then for the second rank the type of long black drink with a value of 0.0157, and for the third rank, the type of avocado milkshake drink with a value of 0.015.

Item Type: Article
Subjects: 000 Karya Umum > 004 Pemrosesan Data dan Ilmu Komputer
Divisions: Kepegawaian UMMAT > Angka Kredit Dosen
Date Deposited: 19 Sep 2022 22:33
Last Modified: 19 Sep 2022 22:33

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