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Journal : MEANS (Media Informasi Analisa dan Sistem)

Sistem Penjualan Petshop Menggunakan Algoritma Machine Learning Pada Galaxy Petshop Semarang Cahyani, Bella Garin Dwi; Handoko, Widiyanto Tri
MEANS (Media Informasi Analisa dan Sistem) Volume 8 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v8i2.2766

Abstract

A recommendation system is a system that can provide recommendations on a particular object that can be used to assist system users in making a decision. This study iams to implement a recommendation system using the collaborative filtering method in e-commerce for the pet shop selling system. With e-commerce, customers can make purchases on-line without having to come to the costs. With the recommendation system provided, customers will get recommendations for the product to be purchased as a consideration in determining product choices. The collaborative filtering method carries out the process of filtering or evaluating objects based on oter people’s opinions, by providing information to consumers, based on similar characteristics
Optimalisasi Pemilihan Lapangan Badminton: Integrasi Metode SAW dan AHP dalam Sistem Pendukung Keputusan Lestariningsih, Endang; Nadila, Latifia; Handoko, Widiyanto Tri; Amin , Imam Husni Al
MEANS (Media Informasi Analisa dan Sistem) Volume 10 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Badminton is one of the most popular sports in the world, with Indonesia having achieved great success in international competitions. The high level of public interest in this sport requires the availability of adequate court facilities. However, the comfort of badminton court facilities still varies, so a decision support system is needed to help select the optimal court. This study develops a decision support system based on the integration of the Simple Additive Weighting (SAW) and Analytical Hierarchy Process (AHP) methods. SAW is used for criterion weighting, while AHP is applied in the ranking stage of alternatives. This combination of methods was chosen due to its ability to process qualitative data from player and athlete evaluations, as well as quantitative court data, while addressing complex issues through hierarchy-based prioritisation. The results of the study indicate that the system is capable of consistently weighting criteria (CR < 0.1). This study also produced a ranking of badminton courts in North Brebes based on seven criteria (price, floor type, lighting, bathrooms, scoreboards, cooperatives, and parking lots) and identified priority facilities. Court 33 in Brebes was selected as the best alternative with a preference value of 0.7485.