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All Journal Journal of Artificial Intelligence and Innovative Applications (JOAIIA) BULLET : Jurnal Multidisiplin Ilmu
Muhamad Fathan
Universitas Pamulang
Humanities Computer Science & IT Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing

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Business Development Sofyan Mufti Prasetiyo; Ali Basir; Andini; Muhamad Fathan
BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 06 (2022): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Business development is a position to identify business development in its development, this includes the provision of new innovations that are very encouraging for business development in the future. A business development manager is a high-level position in the business development of a company and has a better understanding of the business being run by the company, starting from the targets, products and strategies to be carried out. This position is different from the position as sales development, but both of them can give each other their best ideas to improve the company's quality in the eyes of other competitors engaged in similar fields.
Perancangan Aplikasi Data Mining Berbasis Web Menggunakan Algoritma C4.5 untuk Memprediksi Tingkat Kepuasan Pelanggan Muhamad Fathan; Savitri
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 7 No. 1 (2026): February
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/joaiia.v7i1.56622

Abstract

The rapid development of information technology encourages various industries to utilize the data they possess as a basis for strategic decision-making. CV. Triqua Global Mandiri is a company engaged in the sale of bottled water, where customer satisfaction is a key indicator in assessing service quality and business success. However, the company has not yet had a system capable of automatically analyzing customer data to predict satisfaction levels. Therefore, this study aims to design a web-based data mining application using the C4.5 algorithm to predict customer satisfaction levels based on several parameters such as service, communication, price, and quality. The method used in this study is the C4.5 algorithm, a classification method in data mining that forms a decision tree based on entropy values and information gain from each attribute. The research process includes data collection, data cleaning, decision model formation using training data, and model testing using testing data to measure the system's accuracy. Based on the testing conducted, the system was able to provide predictions with an accuracy rate of 80%, making it a valuable tool for the management of CV. Triqua Global Mandiri in improving service quality and marketing strategies. By using this application, the company can gain objective predictive information to improve services and maximize customer satisfaction more efficiently and effectively.
Co-Authors Ali Basir Andini Savitri Sofyan Mufti Prasetiyo