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Implementasi Entreprises Resource Planning Berbasis Web dan Mobile Menerapkan Metode SCRUM Muhammad Syahdan; Nanang Nanang; Suryaningrat Suryaningrat; Syaeful Machfud
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.711

Abstract

Companies operating in the property sector have highly complex business processes involving multiple divisions, such as engineering, marketing, legal, and finance. However, many property companies still manage their data manually and in a fragmented manner, leading to various risks such as data entry errors, communication failures, and other inefficiencies. This study aims to implement an integrated web- and mobile-based Enterprise Resource Planning (ERP) system to support and streamline business processes in a property company, making them more efficient and effective. The development methodology used is Agile, with data collected through interviews, observation, and documentation studies. The system was developed using web and mobile technologies to provide users with flexible access. The implementation results show that the developed ERP system is capable of supporting and improving business processes in the property sector, facilitating real-time data tracking, and increasing operational efficiency. With this system, the company no longer needs to rely on manual data recording and can improve the accuracy of decision-making. This research demonstrates that a digitally based ERP system can be a strategic and effective solution for property companies in facing the challenges of the modern era.
Klasifikasi Batu Permata Berbasis Citra Menggunakan Convolutional Neural Network Perani Rosyani; Oke Hariansyah; Yuda Permadi; Muhamad Rosdiana; Nanang Nanang
Journal of Information System Research (JOSH) Vol 7 No 2 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i2.9101

Abstract

Manual gemstone identification still faces several limitations, such as subjective assessment and strong dependence on expert experience, which may lead to misclassification, particularly for gemstones with similar visual characteristics. This study aims to apply a Convolutional Neural Network (CNN) for automatic visual-based gemstone image classification using a limited dataset. The dataset consists of three gemstone classes, namely Alexandrite, Almandine, and Amazonite, with a balanced class distribution. Image preprocessing includes image resizing, pixel value normalization, and data augmentation to increase data variability. The proposed CNN model is a custom architecture composed of three convolutional layers with ReLU activation, followed by max pooling, a fully connected layer with dropout, and a Softmax output layer. Model performance is evaluated using a confusion matrix and classification metrics, including accuracy, precision, recall, and F1-score. Experimental results show that the CNN model achieves a testing accuracy of 93.33% on the limited test dataset with relatively balanced performance across classes. However, analysis of the training and validation curves indicates the presence of overfitting, suggesting that the model’s generalization capability to unseen data remains limited. These findings highlight that the achieved accuracy is conditional on the specific and constrained dataset used. Therefore, future work is recommended to expand dataset size and diversity, apply more comprehensive data augmentation strategies, and explore transfer learning approaches to improve model stability and generalization performance.
Perancangan Sistem Keamanan Komputer Sekolah Menggunakan Framework Model View Controller (MVC) Eko Fransisko Bakkara; Nanang Nanang; Syaeful Syaeful; Farida Nurlaila
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 3 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i3.3025

Abstract

The main problem faced by schools is the low level of security of academic data, such as student, teacher, grade, and administrative data, which is still managed manually or using a simple system without adequate access control mechanisms. This condition has the potential to cause data processing errors, misuse of access, and information leaks. This study aims to design and build a school computer security system that is structured, integrated, and easy to develop by implementing the Model View Controller (MVC) architecture. The research methods used include the stages of system requirements analysis, system design using Unified Modeling Language (UML), database design, system implementation based on the MVC architecture, and functional testing using the Black Box Testing method. The implementation of MVC is carried out by separating system components into Model (data management and business logic), View (user interface), and Controller (process flow controller and authentication), thereby increasing modularity, security, and ease of system maintenance. The results of the study show that the system built is able to improve data security through user authentication mechanisms, role-based authorization (role-based access control), activity monitoring, and integrated usage log recording. The separation of MVC-based architecture has been proven to minimize the risk of access errors and strengthen control over academic data management. The contribution of this research lies in: (1) designing a school computer security system model based on a structured and scalable MVC architecture, (2) implementing a role-based access control mechanism in a school environment, and (3) developing a user activity monitoring model that can be used as a reference for developing security systems in secondary educational institutions. Thus, the designed system is expected to improve the reliability of data management and support school administration processes safely, effectively, and efficiently.