PREDIKISI PENJUALAN DETERGENT TERLARIS MENGGUNAKAN METODE K-NEAREST NEIGHBOR(K-NN)
Abstract
Housing is one of the basic human needs and is an important factor in increasing human dignity. This is a very dominant problem in human survival to carry out all its activities. Prospective buyers are not easy in choosing housing, because hasty decision making will not provide the satisfaction expected by prospective buyers. In determining residential housing requires consideration to get a residence that fits expectations, because everyone has different abilities. This study aims to create a decision support system for selecting the best housing in accordance with the wishes and needs using the WASPAS method with housing selection criteria including developer, price, land area, building area, distance to the city center. The results of the recommendations from the selection of Bukit Semarang Jaya Metro developer criteria with the WASPAS method are Bukit Kencana Jaya housing with a Qi value = 0.872. Bukit Kencana Jaya has the highest value because it has a low price where the price criteria have the highest percentage weight. The combination of price advantage and weight advantage gives Bukit Kencana Jaya a high value
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References
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