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Ignatius Adrian Mastan
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Journal of Business and Audit Information System (JBASE)
Published by Universitas Bunda Mulia
ISSN : 26156431     EISSN : 26207907     DOI : 30813
Core Subject : Science,
Computer Science & IT
Journal of Business and Audit Information System (JBASE) adalah Jurnal Program Studi Sistem Informasi, yang berisikan kumpulan hasil penelitian dosen, penelitian dosen dan mahasiswa, penelitian mahasiswa yang disusun dalam bentuk artikel penelitian dengan tema Bisnis, Sistem Informasi dan Audit Sistem Informasi. Journal of Business and Audit Information System (JBASE) terbit 2 (dua) kali dalam setahun pada bulan Maret dan Agustus.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 102 Documents
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Rancang Bangun Sistem Informasi Penyewaan Bus Berbasis Web pada PT XYZ Azhari, Ozmar; Bili, Wibi Alfari; Isputrawan, M. Fauzi; Honni, Honni; Lee, Francka Sakti
JBASE - Journal of Business and Audit Information Systems Vol 9, No 1 (2026): JBASE - Journal of Business and Audit Information Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jbase.v9i1.9900

Abstract

The advancement of Information Technology (IT) has driven business processes to become more efficient and has contributed to improving service quality. However, PT XYZ, a company engaged in bus rental services, still relies on manual record-keeping in its operational activities, which may lead to data inaccuracies, document loss, and delays in generating transaction reports. This study aims to design and develop a web-based bus rental information system to improve the efficiency of booking processes, data management, and reporting. This research adopts a qualitative approach with data collection techniques including interviews, observations, and literature review. The system is developed using the Software Development Life Cycle (SDLC) with the Waterfall model and is designed using Unified Modeling Language (UML). The results show that the developed system is able to facilitate the bus booking process, reduce recording errors, and support faster and more integrated transaction reporting. Therefore, the system can enhance operational effectiveness and improve service quality at PT XYZ.
Classification of Urban Images vs. Green Spaces Images Using SVD and KNN Satria, Ryan
JBASE - Journal of Business and Audit Information Systems Vol 9, No 1 (2026): JBASE - Journal of Business and Audit Information Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jbase.v9i1.9197

Abstract

This study aims to classify urban and green land images by employing the Singular Value Decomposition (SVD) method for dimensionality reduction and the K-Nearest Neighbors (KNN) algorithm for classification. The dataset used consists of 600 images (300 urban and 300 green land) with a resolution of 256x256 pixels, sourced from the Kaggle "Aerial Landscape Images" dataset. Each image was transformed into a feature vector, then reduced using SVD, where this study compares the use of 5 components and 20 components. The dataset was subsequently divided into 80% training data and 20% testing data for classification using KNN with k=3. Performance evaluation was conducted via confusion matrix and the calculation of accuracy, precision, recall, and F1-score. The results showed that the model with 5 SVD components achieved the highest accuracy of 95.00%, outperforming the 20-component model (91.67%). This finding demonstrates the effectiveness of SVD-KNN, but shows that a higher number of components can degrade performance. The limitation of the purely color-based method was also identified during testing on "residential area" images, which possess overlapping features between “Urban” and “Green Spaces”.

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