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All Journal Aptekmas : Jurnal Pengabdian Kepada Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Mochammad Septa Sandy
Universitas Muhammadiyah Sidoarjo, Indonesia
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PELATIHAN DAN PEMANFAATAN MULTIMEDIA MENGGUNAKAN CANVAS BAGI GURU-GURU MI MUHAMMADIYAH TANGUNAN Hamzah Setiawan; Nur Maslikhatun Nisak; Hindarto hindarto; Mochammad Septa Sandy
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 5 No 3 (2022): APTEKMAS Volume 5 Nomor 3 2022
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/apts.v5i3.4665

Abstract

Madrasah Ibtidaiyah (MI) Muhammadiyah Tangunan Mojokerto is an elementary school located in the Tangunan Mojokerto area, East Java, which is located on Jl. Raya Tangunan No. 10 Kec. Puri Kab. Mojokerto, East Java. The MI location with the campus of the Faculty of Science and Technology, Muhammadiyah University of Sidoarjo, is about 36 KM away and can be reached within 90 minutes of travel. The development of MI Muhammadiyah Tangunan is currently still an underdeveloped school. This year, the number of students in Madrasahs is in the moderate category, namely 100 students divided into 6 batches, namely grades 1 to 6, with an average of 15 students per class. The results of the meeting held by the abdimas team with the MI school principal, it can be concluded that there are still teachers and business personnel who still do not utilize information technology, especially the canvas application. Given the existing problems, the purpose of this community service activity is media canvas training which will be followed by teachers and employees. For this reason, this activity is divided into several stages, namely observation, discussion, documentation, skills training and evaluation, as well as follow-up to MI Muhammadiyah Tangunan teachers. The target that will be planned is that teachers can understand how to apply Canvas.
Analisis Data Mining Produk Retail Menggunakan Metode Asosiasi Dengan Menerapkan Algoritma Apriori Mochammad Septa Sandy; Hamzah Setiawan; Uce Indahyanti
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i2.174

Abstract

Retail products are businesses that use association techniques that apply a priori algorithms that retrieve datasets from Github in the form of csv taken online that look for the confidence value of these items by having a minimum support value according to these items taken from various countries 4 countries for analysis. The purpose of this research is to find out the pattern of association which aims to find the greatest value taken from 4 countries according to each item using a priori analysis to find out what is related to the data it has as many as 541,910 purchases of retail products by consumers in the form of a dataset that I get the data via online from github in csv form using jypter notebook. The Apriori algorithm is expected to provide decision support between goods purchased jointly by customers. Data Mining is a process that orders one or more learning using Association Rules which serves descriptive data mining which aims to find associative rules between data items. The main step that needs to be in the association rules is to find out how often item combinations appear in the database, which are often referred to as frequent patterns, to obtain a confidence value to find the minimum support value according to each country.
Co-Authors Hamzah Setiawan Hamzah Setiawan Hindarto Nur Maslikhatun Nisak Uce Indahyanti