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All Journal Journal of Informatics Management and Information Technology Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI)
Lubis, Yessi Fitri Annisa
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering

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Pemanfaatan Algoritma K-Means Clustering Pada Sistem Rental Mobil Maesaroh, Sri Wulandari; Diansyah, T.M; Liza, Risko; Lubis, Yessi Fitri Annisa
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.391

Abstract

PT. Station Armada Indonesia is one of the companies engaged in the car rental service sector. With the many types of car choices offered, it is not uncommon for many customers to feel confused in choosing what type of car suits their needs. This problem is often experienced by customers who are confused by the many choices of car types available. In this study, the k-means algorithm was used to group cars based on several attributes. The k-means algorithm can be used to group car type data to help provide recommendations for choosing a car type. The purpose of this study is to make it easier for customers to choose the type of car that is most in demand and as material for PT. Station Armada Indonesia to respond better to market changes and achieve better results. Grouping car rental fleets based on rental prices and mileage by utilizing the k-means algorithm can help PT. Station Armada Indonesia group car types. From the grouping results, two cluster groups were obtained with the character of the first cluster being less in demand by customers and the second cluster group being the most in demand by customers. So that the company can easily prepare the type of fleet that is most in demand. In the application of data mining methods using k-means is very helpful and makes it easier for PT. Station Armada Indonesia to develop more effective marketing and offering strategies. By grouping car types with the implementation of k-means can facilitate customer knowledge in choosing car types based on customer needs.
Sistem Pendukung Keputusan Pemilihan Tempat Kegiatan Olahraga di Medan dengan Metode Distance To The Ideal Alternative (DIA) Raihansyah; Dwi Lestari, Yuyun; Lubis, Yessi Fitri Annisa
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 1 No. 2 (2022): September 2022
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (544.537 KB) | DOI: 10.62712/juktisi.v1i2.14

Abstract

Exercise can provide a million benefits for your body. Not only for health, sports activities can also maintain fitness in carrying out daily activities in the midst of a pandemic (currently it is heading towards endemic). The advancement of the times and technology has made it easier for humans to exercise. Exercise can be done in various ways, either using tools or without using tools. Starting from expensive to no costs. Decision support system for the selection of sports venue activities in supporting users with assessments through a system that will be developed using PHP and MySQL programming languages as a database. The program was designed using the DIA method and designed the design using Flowchart, and UML. With the existence of a decision-making support system to make it easier for users to get the best sports venue according to their needs.
Co-Authors Diansyah, T.M Dwi Lestari, Yuyun Liza, Risko Maesaroh, Sri Wulandari Raihansyah