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All Journal Jurnal sistem informasi, Teknologi informasi dan komputer JURNAL MEDIA INFORMATIKA BUDIDARMA KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Building of Informatics, Technology and Science TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Bulletin of Computer Science Research Jurnal Janitra Informatika dan Sistem Informasi BEES: Bulletin of Electrical and Electronics Engineering Bulletin of Data Science JOMLAI: Journal of Machine Learning and Artificial Intelligence Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Winanjaya, Riki
STIKOM Tunas Bangsa Pematangsiantar, Indonesia
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Journal : Bulletin of Computer Science Research

 1 
Analisis Tingkat Kepuasan Pelanggan dengan Menerapkan Algoritma C4.5 Reza Fauzy; Riki Winanjaya; Susiani
Bulletin of Computer Science Research Vol. 2 No. 2 (2022): April 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v2i2.162

Abstract

Furniture is currently a secondary item that is quite needed among the community to support their daily activities. In its use, furniture becomes an item that really helps human activities in their daily lives. But now furniture marketing is not only in terms of use, but now people have their own assessment of the aesthetic value of a furniture. So this is a demand for furniture business people to make variations on each product to be marketed. Customer satisfaction is one of the most important things in assessing the level of service provided by the company to its customers. The purpose of this study was to determine the level of satisfaction of CV. Karinda customers. at the company CV. This aspect of Karinda has not been measured, so CV. Karinda finds it difficult to determine which aspects must be improved. The method used in this study is the C 4.5 algorithm, where the data source used is a questionnaire/questionnaire technique given to CV. Karinda customers. the process of testing this research using RapidMinner software to create a decision tree. From the results of the analysis is expected to improve the company's performance in providing services to customers CV. Karinda to be better
Penerapan Data Mining dengan Algoritma C.45 Dalam Memprediksi Penjualan Tempe Yusuf Maulana; Riki Winanjaya; Fitri Rizki
Bulletin of Computer Science Research Vol. 2 No. 2 (2022): April 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v2i2.163

Abstract

Many people talk about business, benefits of business and the many different types of businesses that definitely have one purpose, financial profit or profit. With so many types of business as well as the benefits that can be taken from business, often we definitely feel we feel quickly to pave in the world of business to get profit or more specifically is income. One example of business is selling tempe. Sales is the activity of selling a product or service that needs business authorities or business acknowledgments of a kind of business selling tempe at mandiri ac. In selling of course we have a very many collection of sales information why we should be able to digest the sales information to become new data. In this issue the c4.5 algorithm is a procedure that can help digest or predicate the value of sales at the time to arrive. This research was tested in order to help sellers to predict the sales of their merchantability so that they can prepare or stock materials which is predicted to face an increase in their sales at the time of getting the information between supplied information. From this research can be conclusioned if using the c4.5 algorithm the sales of tempe can be predicted with a quite high accuracy
Co-Authors Agus Perdana Windarto Agus Tiranda Sipayung Diana Pratiwi Fadillah Alwi Pambudi Febrivani, Elischa Fitri Anggraini, Fitri Fitri Rizki GS , Achmad Daengs GS, Acmad Daengs Harliana Harliana Hartama, Dedy Hendry Qurniawan Hendry Qurniawan Indra Riyana Rahadjeng Irawan Irawan Irfan Sudahri Damanik Jaya Tata Hardinata Joko Pamungkas Josua Fernando Simanjuntak M Safii Mhd Wendico Herdian Muhammad Fauzan Muhammad Safii Nugroho, Muhammad Rizky Tri Nurhayati Nurhayati Okprana, Harly Putri Mai Sarah Tarigan Putri Mai Sarah Tarigan Qurniawan, Hendry Rajes Wasimson Sinaga Reza Fauzy Rizki, Fitri Rizky Khairunnisa Sormin S Saifullah S Susianti Safii, M Saifullah Saifullah Saifullah Sanri Sunervia Yunika Damanik Sari, Hanifah Urbach Simanjorang, Fernandi Susiani Susiani Susiani Susiani, Susiani Syahputra, Muhammad Syahputra, Muhammad Riza Tarigan, Putri Mai Sarah Wanto, Anjar Wendi Robiansyah Yuni Radana Sembiring Yusuf Maulana Zulia Almaida Siregar