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All Journal Journal of Informatics Management and Information Technology
Zulia Almaida Siregar
AMIK Tunas Bangsa, Pematangsiantar
Computer Science & IT

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Analisis Kepuasan Pelanggan Menggunakan Algoritma C5.0 Dandi Junandi Purba; Muhammad Ridwan Lubis; Zulia Almaida Siregar
Journal of Informatics Management and Information Technology 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/jimat.v2i2.160

Abstract

Water is one of the necessities that are needed by living things, especially humans. In everyday life, humans cannot be separated from the need for air. PDAM is a regional-owned business unit, which is engaged in the distribution of clean water for the general public. However, along the way, along with receiving complaints from the public or customers, public complaints about the increasing difficulty of getting clean water are still an obstacle that can be completely overcome, for example in the North Sumatra area, precisely in Gunung Malela District. On the one hand, public demand will increase, but the quality of services provided is not comparable to meeting the demands of the community. Therefore, this study was conducted to determine customer satisfaction with PDAM Tirta Lihou in Gunung Malela District. Many branches of computer science study various algorithms, one of which is data mining methods, DSS, ANN, and others. This study uses a data mining method with the C5.0 algorithm to solve the problem of factors that affect customer satisfaction with PDAM Tirta Lihou, Gunung Malela District
Analisis Pola Penjualan Produk Makanan dan Minuman Menggunakan Algoritma Apriori Boby; Solikhun; Zulia Almaida Siregar
Journal of Informatics Management and Information Technology 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/jimat.v2i2.161

Abstract

Sales are seen as a unit of business parameters that are very vital and valuable for business people to manage the business they are running, especially in the cafe business.  Cafe Aksara as one of the business actors in the culinary world has a lot of demand in the sale and supply of goods on certain days due to the dynamic nature of visitor patterns and makes business people have to be wiser in setting strategies for the combination pattern of sales of food and beverage products found in Indonesia. Aksara cafe to attract customers.  In a process of determining the sales pattern strategy at Cafe Aksara, customers or buyers greatly influence the sales transaction data recorded by the Aksara Cafe business person.  However, from the results of these recordings, sales transaction data tend not to be used in a process of determining sales pattern strategies to attract customers and are only used as useless archives for Aksara Cafe business people.  From these problems, there are many branches of computer science that can be used as reference points in overcoming sales problems, one of which is the branch of computer science Data Mining.  Data Mining is a method that is quite categorical to be recommended in solving problems with the sale of food and beverage products, especially the Apriori Algorithm. The output of the Apriori Algorithm can help Cafe Aksara business people determine sales patterns on the sales data of their products
Co-Authors Boby Dandi Junandi Purba Muhammad Ridwan Lubis Solikhun