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This Author published in this journals
All Journal The IJICS (International Journal of Informatics and Computer Science) Journal of Informatics Management and Information Technology
Yuegilion Pranayama Purba
STIKOM Tunas Bangsa, Pematangsiantar
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Implementasi Metode K-Means Dalam Klasifikasi Desa/Kelurahan Menurut Jenis Industri Kecil Mikro Muhammad Arifullah; Jaya Tata Hardinata; Yuegilion Pranayama Purba
Journal of Informatics Management and Information Technology Vol. 2 No. 1 (2022): January 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v2i1.152

Abstract

The Ministry of Industry noted that the number of small and medium industries in Indonesia reached 44 million. But unfortunately 99% of all small industries have problems and difficulties in developing their businesses. The problem that is often faced in Indonesia is the limited ability of digital marketing. Unstable production and others. In order to help/support small and micro businesses, a grouping is carried out in the Pematangsiantar sub-district that has small/micro businesses according to the type of business using the K-Means method. The research data used were obtained from BPS and grouped into 2 high and low groups. By implementing the k-means method in the rapidminer application, it is possible to produce a decision tree based on the previous learning data set of small and micro-medium industries using criteria intended to produce relevant and accurate results of small and medium-sized industrial business classification
Implementation of The Fuzzy Tsukamoto Method In Predicting Corn Harvest Results in The Office Agriculture of North Sumatra Province Muhammad Azri; Jaya Tata Hardinata; Yuegilion Pranayama Purba
The IJICS (International Journal of Informatics and Computer Science) Vol 6, No 1 (2022): March 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v6i1.3908

Abstract

Corn is a food crop that produces carbohydrates. The increasing need for food is in line with the population growth. The need for corn is an aspect that must be met by the Indonesian government in an effort to prosper the community. in order to determine the quality of corn harvests that are good and in accordance with the desired target. Corn productivity at the North Sumatra Provincial Agriculture Office changes every year. This requires predictions to know the future image for the harvest whether it will increase or decrease. Based on the situation in Simalungun district, a system that can predict corn harvest is needed to assist farmers in predicting how much they will harvest. Results of predicting corn harvest. in North Sumatra Province in 2019 the largest was 767304.6 (tons) and the smallest yield was 51 (tons) and the largest land area was 111386(ha) and the smallest was 554(ha). While the largest harvested area in 2019 was 108898 (ha) and the smallest was 9 (ha). For 2020, the harvested area is 106682 (ha) and the land area is 28412.5 (ha), so the prediction results in 2020 are 205148.16 (tons)
Co-Authors Jaya Tata Hardinata Muhammad Arifullah Muhammad Azri Purnama Nuraini