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INDONESIA
Journal of Informatics and Information Security
Published by Universitas Bhayangkara Jakarta Raya
ISSN : -     EISSN : 27224058     DOI : https://doi.org/10.31599
Core Subject : Science,
Computer Science & IT
Jurnal ini berisi tentang karya ilmiah hasil penelitian bidang ilmu komputer yang bertemakan: Artificial Intelligence, Blockchain Technology, Business Intelligence, Cloud Computing, Computer Architecture, Computer Vision, Database Systems, Deep Learning, Human Computer Interaction, Digital Forensic, Internet of Things, IT Security, Machine Learning, Networking, Semantic Web, Sistem Terdistribusi, Systems Engineering, Wireless Network.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 5 No. 1 (2024): Juni 2024" : 5 Documents clear
Perancangan Aplikasi Top Up Game Menggunakan Algoritma Collaborative Filtering Berbasis Website Dery Ramadhan; Kusdarnowo Hantoro; Asep Ramdhani Mahbub
Journal of Informatic and Information Security Vol. 5 No. 1 (2024): Juni 2024
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/ss3eqq71

Abstract

This research aims to design a game top-up application that utilizes collaborative filtering algorithms as a recommendation method, with a website-based platform. The primary focus is to leverage artificial intelligence to analyze user purchasing patterns and provide personalized and relevant top-up recommendations. The Waterfall development method is employed to ensure that the application development process is structured, from requirement analysis to implementation. Application performance evaluation is conducted to measure the effectiveness of the collaborative filtering algorithm in providing accurate recommendations and enhancing user satisfaction. It is hoped that the results of this research will make a positive contribution to improving game top-up services and strengthening the online gaming experience for users.
Implementasi Algoritma Simple Additive Weighting Berbasis Web Untuk Penentuan Calon Penerima Beasiswa Elfri Kartini Hutabarat; Mugiarso; Rafika Sari; Rasim
Journal of Informatic and Information Security Vol. 5 No. 1 (2024): Juni 2024
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/5ndeg237

Abstract

Technology aids humans in performing activities such as accessing information in all fields, particularly in education. One implementation adopted by educational institutions is the student information system. As an educational institution, SMK Yadika 13 Tambun runs a scholarship program. The school's selection process is still manual, conducted through document requirements. Consequently, the selection process takes a long time due to the high number of applicants. Only those meeting the criteria receive scholarships. The large number of applicants and the limited scholarship quota make it challenging for the school to manually screen documents. The research objective is to determine prospective scholarship recipients at SMK Yadika 13 Tambun and implement the Simple Additive Weighting method in a decision support system that can provide alternatives in determining scholarship recipients. The Simple Additive Weighting algorithm can be applied in determining scholarship recipients. This algorithm can serve as an exemplary calculation method as it can identify alternatives for each attribute. Subsequently, a ranking system is devised to select the best alternatives. The system developed can assist SMK Yadika 13 Tambun Bekasi in determining scholarship recipients more efficiently and systematically, thereby reducing errors in the selection process.
Optimizing Random Forest Models for Early Detection of Defects in Steel Tri Surawan; Adhitio Satyo Bayangkari Karno; Widi Hastomo; Reza Fitriansyah; Ahmad Eko Saputro; Indra Bakti
Journal of Informatic and Information Security Vol. 5 No. 1 (2024): Juni 2024
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/amqxgn78

Abstract

In the manufacturing sector, steel plate defects are a severe issue that may result in significant losses for a company's finances and image. The purpose of this study is to evaluate how well three machine learning algorithms detect steel plate flaws. The accuracy, area under the ROC curve (ROC-AUC), and Log-Loss of the method were used to assess its performance using a dataset that was downloaded from www.kaggle.com. Based on the findings, the Random-Forest algorithm performed best overall, having the lowest Log-Loss of 0.9327, an accuracy of 0.6722, and an AUC value of 0.9222. Research using other algorithms is still very open to be carried out to get better results. Research utilizing other algorithms is still very much open to be conducted in order to get better outcomes.
Implementasi Data Mining Untuk Menentukan Produk Buku Komik Terlaris Pada Toko Arivpedia Menggunakan Algoritma Apriori Muhammad Iqbal Iffahuddin; Achmad Noeman; Prio Kustanto; Mayadi
Journal of Informatic and Information Security Vol. 5 No. 1 (2024): Juni 2024
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2gd01j83

Abstract

How to use transaction data at the arivpedia store selling the best-selling comic book products. Implementing the a priori algorithm to determine the best-selling comic book product pattern in the application to be tested. From this research, according to the analysis and implementation that has been made, the results of an a priori algorithm implementation system are found to determine the best-selling comic book products. With this system at the Arivpedia Store, it helps managers to calculate sales transaction data which is very easy to use. The application of data mining with the a priori algorithm is considered very efficient and can accelerate the process of forming product association patterns from sales transaction data at the Arivpedia store used in the test.
Rancang Bangun Aplikasi Prototype Sistem Penjualan Kopi Berbasis Mobile (Study Kasus: Kedai Cuan) Luri Sesy Apriyani; Diah Aryani; Ahmad Fathurrozi
Journal of Informatic and Information Security Vol. 5 No. 1 (2024): Juni 2024
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jfz9pc41

Abstract

One of the shops in Tangerang that is attractive to young people because of its relatively cheap price is Kedai Cuan, this shop offers various types of coffee with a comfortable atmosphere. The absence of an application that can increase Kedai Cuan's online sales has led to a decline in sales, as shown by the current sales report. In addition, customers still have difficulty finding information about the available menu, and customers still have to place orders and make payments manually. This research aims to build an Android-based online sales system needed to speed up the sales process at Kedai Cuan with a system development method using the prototype method and the React Native framework JavaScript programming language and Supabase database so that it is hoped that this application can make it easier for owners and customers to buy and sell online and increase sales.

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