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All Journal JURIKOM (Jurnal Riset Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Tomy Nanda Putra
Institut Teknologi Mitra Gama, Duri
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Klasifikasi Kualitas Jagung Terhadap Data Percobaan Penanaman dengan Metode Decision Tree Tomy Nanda Putra; Darmansah Darmansah; M Yoka Fathoni
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5495

Abstract

Corn is one type of plant that is widely cultivated in Indonesia because it has a high enough price, especially the need for this plant. This plant is used as a substitute for carbohydrates and protein after rice, is also used as feed ingredients for livestock. This lack of corn production is caused by several factors such as the age of trees, fertilizers and pests. The impact that occurred was a decrease in corn production at a time when there were many needs of the company and the community would corn. The corn data processed in this study were sourced from the Department of Horticultural Food of Pasaman Regency and the owners of corn crops. Furthermore, the data is processed using the Rapid Miner software. Aimed to find out the prediction of the quality of the corn planting experiment. The method used in solving this problem is C4.5 Algorithm. From the testing of this method, it was found that two predictions in corn cultivation were ‘good and‘ not good. This analysis makes it easier for farmers to plant corn, especially in the selection of seeds to fertilize them so as to produce good fruit for consumption
Penerapan Algoritma C.45 Dalam Pengklasifikasian Data Penjualan Gerai Makanan Cepat Saji Berbasis Website Darmansah Darmansah; Willi Novrian; Tomy Nanda Putra; Budy Satria
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4405

Abstract

With the development of technology, there are many methods that can be used to analyze various kinds of problems, both in the world of education, social and even the business world. One method that can be used is the data mining method. Fast food is one example of a business that is being built by many people today, especially in the city of Batam. With so many fast food outlets in the city of Batam, this study aims to classify the types of food that are in demand and not in demand in the city of Batam. To assist the writer in classifying the best-selling and not-selling food types, in this study the authors used the data mining method, namely applying the C.45 Algorithm approach. Apart from using the C.45 Algorithm to test the calculation results, the author uses a website-based information system. From the research that has been carried out, the results obtained are that the best-selling food for children is the Original Burger (BO) and for adults the best-selling type of food is Kebab (K), while the less popular type of food for all ages is Burger Crispy.
Co-Authors Budy Satria Darmansah Darmansah Darmansah M Yoka Fathoni Willi Novrian Willi Novrian