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All Journal Jurnal Mantik Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Inovasi Teknik Informatika JUSTER: Jurnal Sains dan Terapan Jurnal Pengabdian Masyarakat Bhinneka Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Ilmu Kesehatan MAKIA Jurnal Pengabdian Masyarakat Charitas Journal of Engineering Science and Technology Management JES-TM Social and Community Service
Kasini, Kasini
Universitas Pahlawan TuankuTambusai
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Jurnal Mantik

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Clasterization Of Zeeida Product Sales Using K-Means Method In Medan Distributors Nani Hidayati; Kasini; Sabrina Aulia Rahmah
Jurnal Mantik Vol. 6 No. 2 (2022): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i2.2545

Abstract

Product clustering is one of the determinants of product development in sales activities. Zeeida Herbal products are engaged in health and beauty, of all the products sold, not all of them are sold, some are less well sold. Sales at the distributor of zeeida Medan products are still not computerized, namely by using manual recording. Every buyer who purchases either an agent, sub-agent, reseller or general customer who makes purchases through social media such as WhatsApp, Facebook, marketplace, and other E-Commerce is recorded in the manual bookkeeping, so there is often stock accumulation and even stock shortages at distributors. In this study, the authors apply the k-means clustering algorithm to classify products that do not sell (C0), sell very well (C1) and sell (C2). Clustering is a technique of one of the data mining functionality, the Clustering Algorithm is an algorithm for grouping a number of data into a certain data group (cluster). From this study, the output generated from the last 4 months, namely January-April 2022, shows that from 47 Zeeida products, sales of Zeeida products did not sell well in cluster 0, there were 39 products, while sales were very good in cluster (C1), there were 4 products and sales were sold in cluster. (c2) there are 4 products.
Classification of books at SMP YPK Pematang Siantar using the k-means clustering method Nani Hidayati; Kasini Kasini
Jurnal Mantik Vol. 7 No. 2 (2023): Agustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i2.3846

Abstract

The school library is a very important facility in supporting the process of improving the quality of education to produce quality young people. The YPK Pematang Siantar Private Middle School Library has ± 200 book titles in several categories, so that these books can be used optimally there must be a system that regulates the number of book stocks, the number of book loans each month, so that it can be seen which student's reading interest is the most popular in each category . YPK Pematang Siantar Middle School has not implemented an optimal computerized system or everything is still manual. By applying grouping of students' reading interest using the clustering method at SMP YPK Pematang Siantar, it is hoped that the process in the library will be more effective, fast, and precise. Clustering is the most suitable method for optimizing library services. The purpose of this research is to classify which category of books YPK SMP students are most interested in. After calculating the 20 book categories for 3 months, the final result is C1 or the most popular, namely the 3 book categories most in demand. most interested (C2) with 8 book categories, and finally C3 which is less desirable there are 9 book categories. By creating clusters of books which are the most desirable and not desirable, it can improve library services and students' interest in reading and also prevent accumulation of books that are not of interest every year
Co-Authors Adeswastoto, Hanantatur Alfredo Siagian Fitria Kurniati, Mei Fitria, Mei Kumala Sari, Resy Marwa, Safni Mufidah Herviany Nani Hidayati Nani Hidayati Nani Hidayati, Nani Nany Librianty novi yona sidratul munti Permata, Aprilia Raja Joko Musridho Rusnedy, Hidayati Sabrina Aulia Rahmah Safni Marwa Saleha Putri Delima Syifa Tanjung, Lailatul Tanjung, Laila Syifa Tanjung, Lailatul Syifa Triyana Nurhidayah Yusmita, Yesi Zainal Abidin, Ahmad