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All Journal Jurnal Mantik Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Uce Indahyanti
Universitas Muhammadiyah Sidoarjo, Indonesia
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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New student admission information system design with payment gateway Alfitra Oktavian; Uce Indahyanti; Ika Ratna Indra Astutik
Jurnal Mantik Vol. 7 No. 1 (2023): May: 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.v7i1.3626

Abstract

Regarding the rapid phase of technological progress in all fields, as well as the pattern of people's lives that have been relatively advanced. The purpose of this research is to design a payment gateway-based student admission system at SMP Muhammadiyah 3 Waru using the waterfall method. Web-based information systems can be used as a means of improving information in the education department. In the existing research on the information system for new student admissions, payment processing is carried out manually by paying on the spot or transferring to the school accounts. It is required to confirm payments and utilize SMS gateways as an information forwarder to information. This system delivers complete information such as how to register, test, and payment gateway-based methods. The results obtained by all service menus on the system have been running well.
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 Alfitra Oktavian Hamzah Setiawan Ika Ratna Indra Astutik Mochammad Septa Sandy