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Journal : JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)

Decission Tree Technique Dalam Menentukan Penjurusan Siswa Menengah Kejuruan Ika Purnama Sari; Rika Harman
Journal of Information System Research (JOSH) Vol 1 No 4 (2020): JULI 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (953.147 KB)

Abstract

Many problems are found as the selection of majors that are not in accordance with the abilities, personalities, interests and competencies that can be accounted for in learning. Data mining methodology will be applied to determine the majors in the field of studio that will be taken by students, so students are not wrong in choosing majors that will be taken while studying at the Vocational High School (SMK). C4.5 algorithm is used to determine the majors to be taken by students according to their own backgrounds, interests and abilities. Major selection parameters are color blindness, health test and interview. The test and evaluation results show that the Decision Tree C4.5 Algorithm is accurately applied to the suitability of student majors in Vocational High Schools (SMK)
Penerapan Profile Matching Dalam Sistem Pendukung Keputusan (SPK) Pemilihan Lokasi Strategis untuk Pembukaan Cabang Usaha Darmansah, Darmansah; Harman, Rika; Amrizal, Amrizal
Journal of Information System Research (JOSH) Vol 6 No 3 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i3.6994

Abstract

Batam is one of the cities with rapid economic growth supported by business, trade, and attractions. Many businesses are currently trying to expand their business by opening new branches. However, strategic locations for opening new branches are still a big challenge. Many entrepreneurs only rely on intuition or personal experience when making decisions, without considering strategic factors systematically, which risks business failure. Therefore, a system is needed to assist in decision making when choosing the best location. The purpose of this study is to apply the Profile Matching method in a Decision Support System (DSS) to assist business owners in choosing strategic locations in Batam. This method is used to compare ideal location criteria with field conditions based on 5 factors, such as population density, accessibility, level of competition, rental prices, and community purchasing power. The results of the study indicate that the Profile Matching method is able to identify the best location by comparing the weights between the ideal location profile and actual location data. The most strategic places for opening a business are Nagoya, Lubuk Baja and Batam Center with the highest total scores of 4.00, 3.50 and 2.00. With the Profile Matching-based SPK, business actors can reduce the risk of errors in choosing a location and increase the chances of their business success in Batam.