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Journal of Information Systems and Technology
Published by PT Atha Publishing Globalindo
ISSN : -     EISSN : 31104096     DOI : 10.64845/jistech.v1i2
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering
Journal of Information Systems and Technology is an international peer-reviewed journal dedicated to publishing high-quality research, reviews, and practical studies in the field of information systems and technology. The journal aims to provide a platform for researchers, academics, practitioners, and professionals to exchange knowledge, ideas, and innovations that contribute to the advancement of digital transformation, information management, and emerging technologies.
Arjuna Subject : -
Articles 15 Documents
 1   2 
Towards Adaptive Cybersecurity in Smart Cities: Threat Trends, Mitigation Strategies, and Future Scenarios Egi Al Fansyah; Muharman Lubis; Muhammad Dwi Hary Sandy
Journal of Information Systems and Technology Vol. 2 No. 1 (2026): Journal of Information Systems and Technology
Publisher : Athallah Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64845/jistech.v2i1.148

Abstract

Smart Cities, which represent modern technology-based urban environments, are currently faced with significant challenges concerning cybersecurity. Cyber threats targeting the digital infrastructure and sensitive data within Smart Cities continue to evolve alongside the increasing levels of connectivity and reliance on technology. Various types of attacks, such as Distributed Denial of Service (DDoS), Ransomware, and exploitation of Internet of Things (IoT) devices, have become threats that warrant serious attention. Therefore, the implementation of effective mitigation strategies is essential to safeguard the security of Smart Cities. This paper examines various potential cyber threats that could jeopardize Smart Cities and evaluates the effectiveness of mitigation strategies that have been implemented, such as the adoption of the Zero Trust model, multi-factor authentication, and real-time anomaly detection systems. Furthermore, this paper discusses recent research developments in threat mitigation technologies, including the utilization of artificial intelligence and blockchain. Findings from this analysis indicate that, in order to ensure the sustainability and security of Smart Cities, more stringent policies, cross-sector collaboration, and ongoing research in mitigation technology development are required.
A Low-Power Air Quality Monitoring System Based on the TI MSP430 Microcontroller Family: Design and Experimental Evaluation Michael Atoran
Journal of Information Systems and Technology Vol. 2 No. 1 (2026): Journal of Information Systems and Technology
Publisher : Athallah Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64845/jistech.v2i1.313

Abstract

Air pollution has become a critical environmental and public health issue, necessitating the development of efficient, reliable, and energy-efficient monitoring systems. This study presents the design and experimental evaluation of a low-power air quality monitoring system based on the Texas Instruments MSP430 microcontroller family. The proposed system integrates gas sensors for detecting key air pollutants, a microcontroller unit for data processing, and display and alert modules for real-time user notification. The MSP430 microcontroller is selected due to its ultra-low power consumption and suitability for continuous environmental monitoring applications. The system architecture is designed using a modular approach, consisting of sensor, processing, display, and warning modules to ensure flexibility and scalability. Experimental evaluation was conducted to assess system performance in terms of power consumption, data accuracy, response time, and operational reliability. The results demonstrate that the proposed system achieves significant energy efficiency while maintaining acceptable accuracy and responsiveness for real-time monitoring. The implementation of power management strategies, including low-power modes and optimized data acquisition, further enhances system performance and prolongs operational lifespan. 
Development and User Satisfaction Analysis of a Web-Based Training Information System Using Laravel and RUP: Case Study at the CEdEC Department, JGU Andika Pratama; Wei Zhang Liu
Journal of Information Systems and Technology Vol. 2 No. 1 (2026): Journal of Information Systems and Technology
Publisher : Athallah Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64845/jistech.v2i1.314

Abstract

Air pollution has become a critical environmental and public health issue, necessitating the development of efficient, reliable, and energy-efficient monitoring systems. This study presents the design and experimental evaluation of a low-power air quality monitoring system based on the Texas Instruments MSP430 microcontroller family. The proposed system integrates gas sensors for detecting key air pollutants, a microcontroller unit for data processing, and display and alert modules for real-time user notification. The MSP430 microcontroller is selected due to its ultra-low power consumption and suitability for continuous environmental monitoring applications. The system architecture is designed using a modular approach, consisting of sensor, processing, display, and warning modules to ensure flexibility and scalability. Experimental evaluation was conducted to assess system performance in terms of power consumption, data accuracy, response time, and operational reliability. The results demonstrate that the proposed system achieves significant energy efficiency while maintaining acceptable accuracy and responsiveness for real-time monitoring. 
Deep Audio-Visual Fusion with Attention Mechanisms for Multimodal Perception: A Systematic Review Dwi Fatmasari
Journal of Information Systems and Technology Vol. 2 No. 1 (2026): Journal of Information Systems and Technology
Publisher : Athallah Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64845/jistech.v2i1.315

Abstract

Advances in multimodal deep learning have driven growing interest in attention mechanisms that enhance audio and visual integration for tasks such as emotion recognition, event localization, and human computer interaction. This comprehensive survey synthesizes recent progress in attention based fusion methods and highlights the evolution from early fusion strategies to more advanced architectures, including self-attention, cross modal attention, co attention, and hierarchical attention. Transformer based models, in particular, now play a central role in state of the art audio visual systems because they capture long range temporal and semantic relationships across modalities. This survey examines how these mechanisms improve contextual understanding and task performance, while also identifying persistent challenges related to interpretability, robustness to noisy or missing modalities, modality imbalance, and computational efficiency. Limitations associated with dataset bias and the lack of standardized evaluation metrics are also discussed. Finally, the survey presents future research directions, including the development of cross modal transformer architectures, hierarchical attention models, and comprehensive attention diagnostics frameworks to support trustworthy and effective multimodal artificial intelligence systems.
Development of a Web-Based TOEFL E-Certificate System with QR Code Verification and AES–SHA-256 Security Framework Zainal Arifin
Journal of Information Systems and Technology Vol. 2 No. 1 (2026): Journal of Information Systems and Technology
Publisher : Athallah Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64845/jistech.v2i1.316

Abstract

The rapid advancement of digital technologies has accelerated the adoption of electronic certification systems in higher education institutions, including TOEFL certificate management. However, issues related to document authenticity, data security, and verification reliability remain significant challenges. This study aims to develop a secure web-based TOEFL electronic certificate (e-certificate) system that integrates QR code verification with cryptographic techniques, specifically the Advanced Encryption Standard (AES) and Secure Hash Algorithm 256 (SHA-256). The proposed system enables efficient certificate generation, storage, and validation while ensuring data integrity and protection against unauthorized access and forgery. QR codes are utilized to provide instant and user-friendly verification, linking each certificate to a secure database. AES encryption is applied to safeguard sensitive data, while SHA-256 hashing ensures the integrity and authenticity of certificate information. The system is developed using a structured software development approach and evaluated through functional testing and user acceptance testing. The results indicate that the proposed system significantly enhances security, reliability, and efficiency compared to conventional certificate management methods. Furthermore, it provides a scalable and practical solution for academic institutions seeking to implement secure digital certification systems. 

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