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IJISCS (International Journal of Information System and Computer Science)

ijiscs
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Published by Institut Bakti Nusantara

ISSN : 25980793 EISSN : 2598246X DOI : -

Core Subject : Science, Engineering,

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

The IJISCS (International Journal of Information System and Computer Science) is a publication for researchers and developers to share ideas and results of software engineering and technologies. These journal publish some types of papers such as research papers reporting original research results, technology trend surveys reviewing an area of research in software engineering and technologies, survey articles surveying a broad area in software engineering and technologies. The scope covers all areas of software engineering methods and practices, object-oriented systems, rapid prototyping, software reuse, cleanroom software engineering, stepwise refinement/enhancement, ambiguity in software development, impact of CASE on software development life cycle, knowledge engineering methods and practices, formal methods of specification, deductive database systems,logic programming, reverse engineering in software design, expert systems, knowledge-based systems, distributed knowledge-based systems, knowledge representations, knowledge-based systems in language translation & processing, software and knowledge-ware maintenance, Software Specification and Modeling, Embedded and Real-time Software (ERTS), and applications in various domains of interest.

Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi

Articles 125 Documents

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DESIGN OF SAVINGS AND LOAN APPLICATIONS FOR ANDROID-BASED WOMEN'S GROUPS Fauzi, Fauzi; Nuraini, Sephia; Gunawan, Sahrul
IJISCS (International Journal of Information System and Computer Science) Vol 9, No 3 (2025): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v9i3.1875

Many savings and loan records in farmer women groups are still done manually using books, which can risk causing errors in recording. This is the background for the development of an offline-based android application that can help the VSLA (Village Saving and Loan Association) savings and loan recording process. The purpose of this research is to build an easy-to-use savings and loan recording application, with a simple appearance and according to the needs of users at the rural community level. Application development is carried out using the kodular platform by utilizing TinyDB local storage so that applications can be used offline. The prototype method used in this study allows the development of the system to be carried out in stages according to user input and requirements. The system is designed using the Unified Modeling Language (UML) approach, which consists of a use case diagram, class diagram, and activity diagram. Group financial management becomes easier and more efficient. With the system created offline-based, the application has proven to be relevant for use in areas that have limited internet connection issues. It is hoped that this research can contribute to efforts to digitize the community financial system, especially for farmer women groups.

THE USE OF ARTIFICIAL INTELLIGENCE IN THE DEVELOPMENT OF AN ORDERLY TRAFFIC EDUCATION POSTER FOR THE PESAWARAN POLICE BASED ON MOBILE WEB TO IMPROVE STUDENT LITERACY Triyas Hastomo; Tuti Puspitasari
IJISCS (International Journal of Information System and Computer Science) Vol 10, No 1 (2026): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v10i1.1881

Students' awareness of traffic discipline remains relatively low, as indicated by the high rate of violations and accidents among school-aged individuals. Conventional educational methods are considered less effective in engaging students in the digital era. The research problem focuses on how to develop a technology-based learning media that can enhance students’ understanding and engagement in traffic regulations. This study aims to develop and implement an Artificial Intelligence (AI)-based traffic education application that is interactive, adaptive, and user-friendly for high school students. This research employs the Research and Development (R&D) method, including stages of needs analysis, system design, mobile application development, AI implementation, and user testing. System evaluation was conducted involving 48 student respondents using a Likert-scale questionnaire covering interface, system security, and usability aspects. The results indicate that the application achieved a success rate of 86.00%, categorized as very successful. The usability aspect obtained the highest score of 88.50%, followed by interface (86.50%) and system security (83.00%). These findings demonstrate that the application effectively improves students’ understanding, enhances interactive learning experiences, and is easy to use. Therefore, the application is considered feasible as an AI-based educational tool to improve traffic safety literacy among high school students.

IOT AND ML-POWERED CYBER-PHYSICAL FRAMEWORK FOR REAL-TIME URBAN FLOOD RESILIENCE WITH GEOSPATIAL VISUALIZATION Emmanuel Ayobami Mesioye; Johnson Bisi Oluwagbemi; Shade Racheal Akinbo; Mathew Oluwatosin Esan
IJISCS (International Journal of Information System and Computer Science) Vol 10, No 1 (2026): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v10i1.1877

Urban flooding remains a disastrous challenge for rapidly expanding cities in developing nations. Despite the fact deep learning models and IoT sensing are individually established in hydrology, their seamless integration into a unified, cost-effective Cyber-Physical System (CPS) specifically architected for data-scarce and infrastructure challenged environments remains a critical research gap. This research contributes a novel, end-to-end framework that bridges this divide by harmonizing three distinct pillars: a low-cost, energy-autonomous IoT sensor network, a hybrid CNN-LSTM predictive model, and a dynamic geospatial visualization dashboard. Unlike conventional systems designed for data-rich environments, our framework is contextually adapted for the unique topographical and socio-technical realities of Nigerian urban centers. Validated through a six-month deployment in the high-density Ajeromi-Ifelodun region of Lagos, the system achieved a Nash-Sutcliffe Efficiency (NSE) of 0.89 and a critical 4.5-hour forecast lead time.

REAL-TIME DETECTION OF PROHIBITED OBJECTS IN PUBLIC SPACES BASED ON IOT AND DEEP LEARNING Donatien Kadima Muamba; David Muanza Lubukayi; Ali Akake Nengo
IJISCS (International Journal of Information System and Computer Science) Vol 10, No 1 (2026): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v10i1.1878

Security in public spaces is a major challenge in the face of diversifying threats. Traditional video surveillance systems, relying on continuous human supervision, have limitations in terms of responsiveness and reliability. This article proposes an intelligent system for detecting prohibited objects, combining the Internet of Things (IoT) and deep learning. The architecture is based on an embedded ESP32-CAM module for image acquisition and a backend server using a deep learning model for analysis. Experimental results show an overall accuracy of 92.8%, demonstrating the suitability of this approach for real-time automated surveillance applications

IMPLEMENTATION OF NAIVE BAYES ALGORITHM FOR PREDICTION OF THE SPREAD OF DENGUE HEMORRHAGIC FEVER Irma Rosita; Muhamad Muslihudin
IJISCS (International Journal of Information System and Computer Science) Vol 10, No 1 (2026): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v10i1.1882

Dengue Hemorrhagic Fever (DHF) remains a significant public health problem in Indonesia, particularly in regions with environmental conditions that support the growth of Aedes aegypti mosquitoes. This study aims to implement the Naive Bayes algorithm to predict the distribution of DHF cases in the working area of Wates Public Health Center, Pringsewu Regency, Lampung. The research employs a quantitative approach using data mining techniques, including data collection, preprocessing, modeling, and evaluation stages. The dataset consists of 260 DHF cases in 204-2025 categorized into acute, subacute, and non-acute conditions. The results indicate that the Naive Bayes algorithm achieved an accuracy of 65.8%, with a recall value of 0.658 and an F1-score of 0.556. The analysis also shows that most cases fall into the acute category, and there is no significant relationship between gender and disease severity. Although the AUC and MCC values are relatively low, the model provides an initial insight into the distribution pattern of DHF. Therefore, the Naive Bayes algorithm can be utilized as a decision support system to determine priority areas for intervention and as an early warning system to improve the effectiveness of DHF control.

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Muhamad Muslihudin

Contact Email
ijiscs@ftikomibn.ac.id

Phone
+6272922240

Journal Mail Official
ijiscs@ftikomibn.ac.id

Editorial Address
Editor IJISCS (International Journal of Information System and Computer Science) Bakti Nusantara Institute Street Wisma Rini No.09 Pringsewu, Lampung Phone: 0729-22240

Location
Kab. pringsewu,

Lampung

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Muhamad Muslihudin

Contact Email ijiscs@ftikomibn.ac.id

Phone +6272922240

Journal Mail Official ijiscs@ftikomibn.ac.id

Editorial Address Editor IJISCS (International Journal of Information System and Computer Science) Bakti Nusantara Institute Street Wisma Rini No.09 Pringsewu, Lampung Phone: 0729-22240

Location Kab. pringsewu, Lampung INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Muhamad Muslihudin

Contact Email
ijiscs@ftikomibn.ac.id

Phone
+6272922240

Journal Mail Official
ijiscs@ftikomibn.ac.id

Editorial Address
Editor IJISCS (International Journal of Information System and Computer Science) Bakti Nusantara Institute Street Wisma Rini No.09 Pringsewu, Lampung Phone: 0729-22240

Location
Kab. pringsewu,

Lampung

INDONESIA