Hamzah Setiawan
Universitas Muhammadiyah Sidoarjo, Indonesia

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Sistem Informasi Reservasi Wisata Camping Menggunakan Mapping (Studi Kasus : Bumi Perkemahan Dlundung Mojokerto) Fuad Azis Muslim; Hamzah Setiawan; Nuril Lutvi Azizah; Ade Eviyanti
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.v4i2.173

Abstract

The Dlundung campground is one of the campsite attractions located in Ketapanrame village, sub-district. Trawas, Mojokerto Regency, East Java. Dlundung campground provides campsites divided into blocks. There are 5 camping blocks in this camping area. At Dlundung Campground, of course, there is a business process that is implemented to manage and regulate all activities carried out, especially business processes to manage the reservation process and process payments made by tourists. because the promotional media is still minimal, the reservation records that often the managers at the Dlundung campground provide incorrect information regarding reservations. In addition, the Dlundung campground also experienced difficulties in managing its payment system. Because there is no guarantee at the outset such as a DP (down payment), tourists who have made reservations often do not come without giving prior notification to the detriment of the Dlundung Campground. Based on the problems that occurred at the Dlundung Mojokerto Camping Ground along with the results of interviews with Dlundung Mojokerto Camping Ground staff, a reservation information system is needed to manage the reservation process and also payment. This system will be developed on a web basis because it is easier to use and later this system will be integrated with the Midtrans Application Programming Interface (API) so that it can bridge the payment process between tourists and the Dlundung Mojokerto Camping Ground.
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.