cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Muhammad Wali
Contact Email
muhammadwali487@gmail.com
Phone
+6285277777449
Journal Mail Official
cj@ypmma.org
Editorial Address
Jl. B. Aceh – Medan GP. Pasir Putih Kec. Peureulak Aceh Timur.
Location
Kab. aceh timur,
Aceh
INDONESIA
Computer Journal
Published by Yayasan YPMMA
ISSN : 29646200     EISSN : 29646219     DOI : https://doi.org/10.58477/cj
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Computer Journal, e-ISSN: 2964-6219 and p-ISSN: 2964-6200 is a free and open-access journal published by the Research Division, YPMMA Institute, Indonesia. Computer Journal is an international, scientific, peer-reviewed, open-access computer science journal, including computer and network architecture and human-computer interaction as its main focus, published six months online. Computers Journal is an international, open access journal which provides an advanced forum for computer sciences. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2024): August" : 5 Documents clear
Rancang Bangun Aplikasi Sistem Pemesanan Konsumen Pizza Hut Delivery Tulungagung Berbasis Website dengan Teknologi Quick Response Code (QR) Safikri, Daffy; Faizah, NM; Karo-Karo, Panser
Computer Journal Vol. 2 No. 2 (2024): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v2i2.168

Abstract

Pizza Hut Delivery is a retail company operating in the fast-food sector. In the manual ordering system, customers must either visit the outlet for take-away or call the call center for home delivery. This study aims to provide a solution for the Pizza Hut Delivery outlet in Tulungagung, allowing customers to place orders online. Through this system, customers can order directly via their gadgets or smartphones for both take-away and delivery services. The research utilizes the waterfall model with PHP as the programming language and MySQL as the database server for data storage. The system is also equipped with Quick Response (QR) Code technology, enabling easy access to the Pizza Hut Delivery Tulungagung ordering website.
Aplikasi Penjualan Mobil Berbasis Web pada PT KIA Mobil Dinamika Cabang Bintaro dengan Metode Analytical Hierarchy Process (AHP) Cristian, Aditya; Nurcahyo, Widyat; Faizah, NM
Computer Journal Vol. 2 No. 2 (2024): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v2i2.171

Abstract

PT Mobil KIA Indonesia in Bintaro is engaged in automotive sales, targeting middle- to upper-class consumers with stable economic backgrounds. The company offers various car brands imported directly from Korea to meet the demands of this market segment. However, customers often face challenges in selecting a vehicle that matches their personal criteria due to limited information provided in conventional formats. To address this, a web-based sales system utilizing the Analytical Hierarchy Process (AHP) method is required, allowing customers to access detailed information anytime and anywhere. This system not only aids customers by offering recommendations based on their specified criteria but also supports a structured decision-making process in selecting suitable vehicles. By implementing this system, customers are better equipped to make informed decisions that align with their preferences, thereby enhancing their overall purchasing experience and satisfaction.
Perancangan Sistem Informasi Penerimaan Siswa Baru di SMK Harapan Bangsa Berbasis Web Menggunakan CodeIgniter 4 Da Costa, Nova Selajar; Karo-Karo, Panser; Faizah, NM
Computer Journal Vol. 2 No. 2 (2024): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v2i2.172

Abstract

The admission of new students is a critical process in educational institutions, designed to select candidates based on specific criteria set by the school. This process typically involves multiple stages, including registration, selection through testing, and the announcement of results. However, at SMK Harapan Bangsa, this process has been managed manually using paper-based documentation and Microsoft Excel, which is inefficient and prone to errors. This study aims to develop a web-based information system for new student admissions using the CodeIgniter 4 framework and MySQL database to streamline and enhance the process. The software development methodology employed in this research is the Waterfall model, which consists of analysis, design, implementation, and system testing stages. The result of this research is an information system that simplifies the access to new student admission information for parents and students, enabling them to register online and monitor the selection results more efficiently. Additionally, the system supports the school in automatically archiving and organizing registration data. This web-based solution offers a more structured and error-free process, significantly improving the overall efficiency and accuracy of the admissions procedure.
Sistem Informasi Logistik PT. Atri Distribusindo Banda Aceh Heranti; Ahmad, Lukman; Ihsanuddin
Computer Journal Vol. 2 No. 2 (2024): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v2i2.177

Abstract

The utilization of information technology at PT. Atri Distribusindo Banda Aceh is still limited, particularly in logistics management, which is conducted manually. This situation complicates administrative processes, leading to delays and a high risk of errors in inventory management. To address these issues, this study develops a computerized logistics information system using the prototyping method, PHP, and MySQL. The prototyping approach allows for iterative feedback during system development, ensuring the system meets operational needs more effectively. The system is designed to enhance data accuracy and improve workflow efficiency in logistics operations. Based on observations and analysis, the logistics information system is expected to provide accurate and timely information, ultimately supporting better decision-making within PT. Atri Distribusindo Banda Aceh.
Optimasi Support Vector Machine (SVM) Menggunakan Naive Bayes dan Decision Tree untuk Klasifikasi Tema Tugas Akhir Mahasiswa Sistem Informasi Arfika
Computer Journal Vol. 2 No. 2 (2024): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v2i2.179

Abstract

-The School of Informatics and Computer Management (STMIK) Abulyatama faces challenges in classifying student thesis topics. The current manual classification process is inefficient and ineffective. Therefore, the implementation of data mining techniques is needed to manage this data, specifically to automate the classification process. This study aims to optimize the Support Vector Machine (SVM) model by integrating Naive Bayes and Decision Tree algorithms to improve the accuracy of thesis topic classification. Based on the analysis, it can be concluded that both SVM and K-Means can be utilized by decision-makers to categorize thesis topics as a decision support system. Naive Bayes and Decision Tree were shown to optimize SVM and enhance its accuracy. Naive Bayes achieved the highest accuracy at 82.50%, while Decision Tree recorded an accuracy of 62.50%, making Naive Bayes the most suitable model for thesis classification.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 3 No. 2 (2025): August Vol. 3 No. 1 (2025): February Vol. 2 No. 2 (2024): August Vol. 2 No. 1 (2024): February Vol. 1 No. 2 (2023): August Vol. 1 No. 1 (2023): February