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Bakti Sosial Penyerahan Sembako Bagi Masyarakat Terdampak Covid 19 Di Kelurahan Betungan Kota Bengkulu Rachayu, Imma; Maryani , Desi; Lorita , Evi; Elfianty , Lena; Selviani , Diah; Luthfia , Izza
Jurnal Kewirausahaan dan Bisnis Vol. 3 No. 1 (2021): Februari
Publisher : Universitas Dehasen Bengkulu

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Abstract

Based on the results of the activities and evaluation analysis, it can be concluded as follows The service participants were very enthusiastic about participating in the activities, which could increase the knowledge that was very useful for the people affected by covid-19 Bengkulu City and went home also getting the basic necessities they really needed. It is necessary to hold further community service with different materials so that they are more motivated in facing the covid - 19 pandemic era.
APPLICATION OF DATA MINING FOR CLASSIFICATION OF SALES BEST-SELLING PRODUCTS USING THE C5.0 ALGORITHM (Case Study of Syarah Bakery in the West Circle) Perkoso, Bagus Hakim; Asnawati; Elfianty , Lena
Jurnal Komputer Vol 1 No 2 (2023): Januari-Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v1i2.53

Abstract

Data mining is the process of obtaining useful information from a large database and needs to be extracted so that it becomes new information and can assist in decision making. The purpose of this study is to apply data mining in classifying best-selling product sales using the C5.0 algorithmThe research method used is the Waterfall Method which is serial in nature which starts from the process of planning, analysis, design and implementation of the system. The C5.0 algorithm can handle continuous and discrete attributes. The first thing to do is to calculate the entropy value of all attributes, then calculate the highest information gain value of all attributes so that the attribute that will be used as the root or parent is obtained. The suggestion from the author is that the Data Mining Application can function later to find out which products are of interest and help plan future supply of stock.