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Technologia Journal
Published by PT Anagata Sembagi Education
ISSN : -     EISSN : 30469163     DOI : https://doi.org/10.62872/ezf7zc71
Core Subject : Science,
Computer Science & IT
This journal publishes original articles on current issues and international trends in the field of information engineering and information systems.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 6 Documents
 1 
Search results for , issue "Vol. 2 No. 3 (2025): Technologia Journal-August" : 6 Documents clear
Design of a Fire Monitoring System Using Web Fire Google Maps and Telegram Muhammad Nanda Abriel Lanang Pamungkah; M.Teguh Prihandoyo; Eko Budihartono; Muhamad Bakhar
Technologia Journal Vol. 2 No. 3 (2025): Technologia Journal-August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/0xhs3a06

Abstract

Fire is a type of disaster caused by flames that pose significant threats to human life, infrastructure, vehicles, and the surrounding environment. In Tegal City, there were 40 reported fire incidents in 2017, which drastically increased to 120 incidents in 2018. This alarming rise highlights the urgent need for an effective and responsive fire monitoring system. This research aims to design a real-time fire monitoring system integrated with specifically developed hardware. The methodology involves observation, interviews, and literature studies to ensure the system's relevance and accuracy. The system developed in this study is capable of monitoring multiple registered locations simultaneously through a centralized website. It features real-time data updates, with information being received every second without the need for manual refreshing. Additionally, the system is equipped with a notification and alarm mechanism to provide early warnings when monitored areas are in a state of alert or danger. This innovation is expected to enhance fire disaster preparedness, enable rapid response, and minimize potential damage in vulnerable areas
Design and Development of a Predictive AI Model for Early Detection of Mental Disorders in Adolescents Robinson Robinson; Ahmad Ari Gunawan Sepriansyah; Ahmad Zarkasih; Selvia Damayanti
Technologia Journal Vol. 2 No. 3 (2025): Technologia Journal-August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/bx45ph86

Abstract

Adolescents are a vulnerable age group for mental disorders such as depression, anxiety, and stress. Early detection is crucial to enable timely and appropriate interventions. This study aims to design and develop a predictive artificial intelligence (AI) model capable of identifying potential mental health issues in adolescents. The research applies a quantitative experimental approach, collecting data through the locally validated DASS-21 questionnaire. The data were analyzed using Random Forest, Support Vector Machine, and Multilayer Perceptron algorithms, evaluated by accuracy, precision, recall, and F1-score metrics. The findings indicate that the Random Forest model achieved the highest accuracy at 87.4%. The system was designed with a user-friendly interface that delivers prediction results along with initial intervention recommendations. This study offers a significant contribution to preventive efforts in adolescent mental health through adaptive, accurate, and ethical AI-based technology.
Utilizing Artificial Intelligence to Optimize Public Services: A Case Study in Regional Government Isra Muksin; Mansyur Djamal
Technologia Journal Vol. 2 No. 3 (2025): Technologia Journal-August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/05hdgw13

Abstract

This study aims to analyze the use of Artificial Intelligence (AI) to optimize public services in local governments, while identifying challenges and opportunities for its implementation. The research method used is a qualitative case study approach, through in-depth interviews, observations, and documentation analysis. The results show that the application of AI through service chatbots, digital queuing systems, and population data analysis can improve bureaucratic efficiency, reduce public waiting times, and increase public satisfaction. However, AI implementation still faces challenges such as limited infrastructure, lack of human resource competency, resistance from some employees, and public doubts about data security. This study confirms that the success of AI adoption in local governments is determined not only by technological readiness, but also by data protection policies, change management, and increasing public digital literacy.
Analysis of the Utilization of Augmented Reality (AR) Technology in Interactive Science Learning in Schools Rustiyana Rustiyana
Technologia Journal Vol. 2 No. 3 (2025): Technologia Journal-August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/vwq2jc74

Abstract

This study aims to analyze the use of Augmented Reality (AR) technology to support interactive science learning in schools. The research method used is a qualitative approach with a case study design, involving direct classroom observation, in-depth interviews with teachers and students, and documentation of learning activities. The results show that the use of AR can increase students' interest in learning and understanding of abstract concepts in science. AR also encourages more interactive and participatory learning. The role of teachers shifts to that of facilitators who need to master technological tools and design innovative learning strategies. However, the implementation of AR in schools still faces obstacles such as limited infrastructure and educators' digital competencies. These findings provide important insights into the potential and challenges of AR integration in education, and serve as a basis for policy development and teacher training to encourage digital transformation in science learning.
Blockchain-Based Digital Transformation in Government Administration System Rustiyana Rustiyana
Technologia Journal Vol. 2 No. 3 (2025): Technologia Journal-August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/eyrmb910

Abstract

Digital transformation in government administration systems is key to increasing transparency, efficiency, and accountability in public services. The implementation of blockchain technology offers an innovative solution by providing secure, decentralized, and immutable transaction records. This study aims to analyze the role of blockchain in strengthening government administration processes and evaluate its impact on operational performance and public trust. The research method used is a comprehensive literature review and case analysis of blockchain implementation in several local governments and public institutions. The results show that blockchain integration can reduce bureaucracy, improve data security, and promote transparency, but requires the readiness of digital infrastructure and supporting regulations. These findings provide guidance for policymakers and IT practitioners in developing blockchain-based digital transformation strategies in the public sector.
Towards a Sustainable Smart City: The Role of Big Data and Internet of Things (IoT) in Urban Governance Rustiyana Rustiyana
Technologia Journal Vol. 2 No. 3 (2025): Technologia Journal-August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/epkp1k05

Abstract

The rapid growth of urban populations demands smarter, more efficient, and sustainable city governance. This study aims to analyze the role of Big Data and the Internet of Things (IoT) in supporting urban governance toward a sustainable smart city, with a focus on their contributions to environmental, economic, and social sustainability. The research employed an exploratory-descriptive qualitative method through in-depth interviews, community surveys, field observations, as well as secondary data analysis from official reports and academic publications. Qualitative data were analyzed using thematic analysis, while quantitative data were processed with descriptive and inferential statistics. The findings reveal that the integration of Big Data and IoT enhances the effectiveness of city government decision-making through real-time data and predictive analytics. The application of these technologies contributes to emission reduction, energy efficiency, transportation optimization, increased citizen participation, and operational cost savings. However, implementation still faces obstacles such as limited network infrastructure, digital literacy gaps, high maintenance costs of devices, as well as data security and privacy issues. This study recommends strengthening regulations, fostering government–private sector collaboration, and implementing public education programs to expand technology adoption. These findings highlight that the success of a sustainable smart city requires synergy between technological innovation, inclusive policies, and active community engagement.

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