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All Journal Informatika Journal of Computer Science and Information Systems (JCoInS) Journal of Student Development Information System (JoSDIS) Journal of Soft Computing Exploration
Angga Putra Juledi
Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Labuhanbatu
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Library & Information Science Other

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Journal : informatika

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PERANCANGAN SISTEM INFORMASI AKADEMIK SMA PERTIWI 2 PADANG MENGGUNAKAN BAHASA PEMOGRAMAN PHP DAN MYSQL Angga Putra Juledi
Jurnal Informatika Vol 9, No 2 (2021): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v9i2.1988

Abstract

Technology is growing rapidly in the midst of society today, making people competing to master and implement it in everyday life such as students. Students are entitled to master the current technology activity, not just to earn income or mere skill, but science is currently used for things that lead to advancements and skills that are useful for the future. Similarly, the teachers and students, for the ease and smoothness of teaching and learning process, it takes a simple system application and can help the learning process in teaching and learning activities. With the development of technology in the world of computerization and application of Academic Information system applications in SMA Pertiwi 2 Padang can help manage academic data effectively and efficiently because it can be accessed online and academic data stored electronically.
Analisis Data Penjualan Menggunakan Algoritma Apriori pada Analisis Kopi Tomi Hidayat; Ibnu Rasyid Munthe; Angga Putra Juledi
Jurnal Informatika Vol 12, No 3 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6064

Abstract

Data Mining is a technique for finding, searching, or extracting new information or knowledge from a very large set of data, by integration or merging with other disciplines such as statistics, artificial intelligence, and machine learning, making Data Mining as one of the tools to analyze data and then produce useful information. Association Rule is a process in Data Mining to determine all associative rules that meet the minimum requirements for support (minsup) and confidence (minconf) in a database. In Association Rule, there are 2 methods that can be used, namely a priori method and FP-Growth method, where FP-Growth method is the development of a priori method where a priori method there are still some shortcomings such as there are many patterns of data combinations that often appear (many frequent patterns), many types of items but low minimum support fulfillment, it takes quite a long time because database scanning is done repeatedly to get the ideal frequent pattern. In this study the method used is a priori algorithm method, a priori algorithm method is one of the alternative ways to find the most frequently appearing data sets (frequent itemset) without using candidate generation that is suitable for analyzing a transaction data. Coffee analysis is a Cafe Shop engaged in the sale of food and beverages that many food and beverage sales transactions. Open on November 7, 2021 coffee analysis penetrates 245 sales transactions and this transaction data continues to grow every day.
Implementasi Data Mining Menggunakan Metode Algoritma FP-Growth Dan Algoritma Apriori Pada Toko IBR Jaya Untuk Meningkatkan Penjualan Restu Fauzy Naibaho; Syaiful Zuhri Harahap; Angga Putra Juledi
Jurnal Informatika Vol 12, No 3 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6128

Abstract

Dian trading business is one of the grocery stores engaged in buying and selling the main household needs of nine basic ingredients which have been doing a lot of grocery sales transactions. This transaction Data continues to grow every day and in the IBR Jaya store sales transaction data is only presented as an archive or report and it is not mentioned what the benefits of these data are. Nah, the problem at the IBR Jaya store is the improvement of improvements due to the shortage of basic food stocks that are often purchased by consumers are not available which results in improvements and usability improvements then the FP-Growth algorithm is used to analyze patterns of improvement and a priori algorithms for comparison through archived transaction data goods that will be purchased later as a reference to increase food stocks so as to increase sales at the IBR Jaya Food Store in the hope that this increase can help this is one of many ways to make money online. Association rules are a process in Data Mining to establish all associative policies that meet the minimum requirements for support (minsup) and trust (minconf) in a database . In association rules, there are 2 methods that can be used, namely a priori method and FP-Growth method. In this study the method used is FP-Growth algorithm and a priori algorithm, FP-Growth algorithm and a priori method is a method to find the most frequently appearing data set (frequent itemset) without using candidate generation that is suitable to analyze a data transaction.
Co-Authors Elfi Zahra Yuni Fajar Maulana Ibnu Rasyid Munthe Irmayanti Irmayanti Lisa Ariani Marnis Nasution Nia Edi Putri Qiuyun Cao Restu Fauzy Naibaho Reyfo Irfankha Rista Andini Ritonga Sudi Suryadi Syaiful Zuhri Harahap Tiara Syavitri Rambe Tomi Hidayat Yofhanda Septi Eirlangga Yomei Hendra