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Informatics and Software Engineering (ISE)
Published by Santoso Academy Network
ISSN : 29882818     EISSN : 29882222     DOI : https://doi.org/10.58777/ise
Core Subject : Science,
Computer Science & IT
The Informatics and Software Engineering is an open-access and peer-reviewed journal that publishes theoretical and empirical research articles, review papers, and case studies on all major Informatics and Software Engineering topics. The journals mission is to offer a forum for the growing amount of scholarly research on Information Technology and Software Engineering in which it operates. The journal emphasizes theoretical advancements, their application, and empirical, practical, and policy research in global IT technology. The journal provides a platform for professionals in the field of IT to exchange their expertise and experiences. It aims to promote discussions on the design, development, implementation, management, and assessment of diverse IT applications among practitioners, researchers, managers, and IT policymakers. The journals goal is to promote communication and collaboration between and among academic and other research groups, as well as the founder of start-up and technology decision-makers at private and public institutions, national and global, and their regulators.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 1 (2025): June 2025" : 5 Documents clear
LRT System Security Analysis: Threats and Solutions for Implementation in Indonesia Maulana, Rizqi Mustafa; AlHafiz, Zaki Azfa; Agfah, Syahzana; Jatmiko, Nurbo
Informatics and Software Engineering Vol. 3 No. 1 (2025): June 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v3i1.253

Abstract

The security of the Light Rail Transit (LRT) system is a significant concern as its utilization continues to grow in Indonesia. As a viable solution to urban congestion, the LRT encounters various challenges, including cyberattacks and technical issues that could disrupt operations and jeopardize passenger safety. This study aims to analyze these threats and propose solutions using the ISO-31000:2018 framework. The research employs a Systematic Literature Review (SLR) methodology to assess risks based on their likelihood and potential impact. The findings indicate that the primary threats include phishing attacks, ransomware, and signal system failures. However, this study has limitations, as it is based exclusively on secondary data, which may not fully reflect local conditions. The originality of this research lies in its application of ISO-31000:2018 within the local context and its provision of practical recommendations for operators and policymakers. Moreover, it paves the way for future studies to conduct more comprehensive, field-based research.
Information System for the Development of Web-Based Fixed Asset Modules at PT. Prima Solusi Computindo Andika, Ferry; Nuriantoro, Fajar Rizki; Putra, Andreas Bayu; Haryono, Wasis
Informatics and Software Engineering Vol. 3 No. 1 (2025): June 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v3i1.388

Abstract

Prima Solusi Computindo (Radsoft) faces challenges in managing fixed assets, resulting in inefficiencies due to manual and non-integrated record-keeping processes. This study aims to design and implement a web-based information system for fixed asset management to enhance efficiency and accuracy. This system was developed using HTML, CSS, Javascript, SQL database, and the C# framework. The research utilizes the Waterfall development model, encompassing requirements analysis, system design, implementation, and testing phases. The results indicate that the developed system effectively integrates asset management processes, including record-keeping, depreciation tracking, and reporting. This integration simplifies the management team's decision-making regarding asset utilization. Additionally, the web-based system enables real-time access across departments, improving transparency and data accuracy. As a recommendation, the company should provide training for system users to maximize the features available. Future developments include integrating the system with other modules, such as accounting and inventory, to enhance its overall functionality.
The Perception of Senior High School Students Towards E-Learning in Bolgatanga Municipality, Ghana Atuah, Jesse; Domebale, Joseph; Sanka, David Laar; Azaabi, Cletus; Atebi, Solomon
Informatics and Software Engineering Vol. 3 No. 1 (2025): June 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v3i1.396

Abstract

Electronic learning (e-learning) is a comparatively new phenomenon in Ghana and students are grappling with the idea of adopting e-learning. The Technology Acceptance Model (TAM) was used in this study to investigate the perception of senior high school students toward e-learning. The study employed the quantitative research approach. The probability sampling method was used to select a total of three hundred and sixty (360) students from a sample frame to constitute the sample size for the study. A closed-ended structured questionnaire was used to gather data on students' perceived usefulness of e-learning and students' perceived ease of use of e-learning which was then analyzed using SPSS. The results revealed student’s strong agreement that, attitude to using an e-learning system is based on student’s perception of ease of use (POEU). Similarly, the study showed that students strongly agreed that students’ perception of usefulness (PU) of e-learning systems forecasts user attitudes toward using an e-learning system.
Information System for Submitting Payment for Operational Costs of PT Selamat Makmur in Tangerang St Wulan Aprianti; Junaidi, Agus
Informatics and Software Engineering Vol. 3 No. 1 (2025): June 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v3i1.416

Abstract

Challenges arise from the manual submission of operational cost payments using Microsoft Excel. This manual process is susceptible to issues in payment submissions, complicates the tracking of approved payments, and lacks automated payment reminders. The author utilizes two approaches: the Data Collection method and the Software Development method. The Data Collection method entails conducting observations, interviews, and literature reviews. In regards to software development, the waterfall model is highlighted for its straightforward, sequential implementation. By adopting this system, PT. Selamat Makmur aims to streamline the submission and payment of operational costs, reduce errors, and improve transparency and accuracy throughout the company's operational cost management. This system is also vital for ensuring the efficient functioning of the cosmetic production process and supporting the company's growth in a competitive market.
Unified Predictive Modeling: Enhancing Accuracy with DBNs, Fuzzy ARTMAP, and SVMs Kim, Daehyon
Informatics and Software Engineering Vol. 3 No. 1 (2025): June 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v3i1.425

Abstract

Amid the global surge in artificial intelligence, the field of machine learning is advancing rapidly, and selecting the most suitable algorithm for prediction tasks remains a crucial challenge. This paper introduces a novel ensemble model that combines three machine learning algorithms—Deep Belief Networks (DBNs), Fuzzy ARTMAP, and Support Vector Machines (SVMs)—to enhance predictive performance. Each machine learning model possesses unique strengths, and by integrating these models, it is possible to overcome individual model limitations and achieve more accurate and reliable predictions. DBNs excel at learning hierarchical representations and capturing complex patterns, Fuzzy ARTMAP is proficient in handling imprecise and ambiguous data, and SVMs are renowned for their robustness in high-dimensional spaces. Thus, the integrated framework leverages the complementary strengths of each model while mitigating their weaknesses. In this study, the proposed ensemble model's predictive power was validated through experiments on image data collected from actual construction sites for construction automation research. The prediction performance of the proposed ensemble model was evaluated and compared with that of individual models such as DBNs, Fuzzy ARTMAP, and SVMs, demonstrating its superiority. The experimental results showed that the proposed model outperformed each individual algorithm in terms of prediction accuracy, clearly illustrating the effectiveness of the ensemble approach.

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