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Sistem Pakar Deteksi Potensi Obesitas Dilingkungan Universitas Islam Negeri Sumatera Utara Menggunakan NaiVe Bayes Clasifier Putra, Hardiansyah; Harahap, Inun Suryani
Jurnal Media Teknik Elektro dan Komputer Vol 1 No 1 (2024): Jurnal Media Teknik Elektro dan Komputer
Publisher : Yayasan Pendidikan Al-Yasiriyah Bersaudara

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Abstract

This study aims to classify the potential for obesity among students in the environment of UIN SU Medan using the Naïve Bayes Classification method. The prevalence of obesity has become a serious problem in various countries, with significant contributions from critical periods such as prenatal, infancy, adiposity rebound, and adolescence. The use of technology has become widespread in various layers of society, making knowledge and preventive efforts crucial in addressing obesity. Lifestyle changes due to increased time-consuming activities can affect the health of the academic community. Therefore, the application of technology is essential in addressing obesity from adolescence to adulthood. The Naïve Bayes Classification method has been found to be suitable for classifying the likelihood of obesity among the academic community in the UIN SU Medan environment. However, it is important to optimize the training and testing classification process by storing the results in memory (database) to enhance the classification process.
Analisis Tingkat Kepuasan Konsumen Pada Restoran Menggunakan Logika Fuzzy Tsukamoto Harahap, Inun Suryani; Santoso, Heri
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5683

Abstract

Tsukamoto fuzzy logic method is used to measure the level of customer satisfaction at Mixue Restaurant. The background of this study is the importance of understanding and improving customer satisfaction in the highly competitive restaurant industry. Mixue attracts the attention of many people, especially students, as one of the restaurants that offers contemporary drinks at affordable prices. Mixue Jamin Ginting, Medan, questionnaires were distributed to 100 people to conduct this study. The variables analyzed were service quality, location, price, and facilities. By using the Fuzzy Tsukamoto method, consumer satisfaction values ​​in fuzzy sets such as "very satisfied", "satisfied", and "dissatisfied" were created. The results showed that the level of customer satisfaction was influenced by complete facilities, low prices, strategic location, and friendly service. This study improves Mixue management's understanding of consumer expectations and needs and the development of science in the application of fuzzy logic to consumer satisfaction analysis. The Tsukamoto fuzzy method allows for a more in-depth analysis of consumer preferences and perceptions, and helps in creating appropriate improvement strategies to improve Mixue consumer satisfaction. In a study to determine the level of consumer satisfaction at Mixue Tuntungan Deli Serdang using the fuzzy tsukamoto technique, the numerical value of the facility variable was found to be 71, the price variable was 61, the service quality facility was 58 and the location variable was 52.