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Formosa Journal of Science and Technology (FJST)
Published by PT FORMOSA CENDEKIA GLOBAL
ISSN : -     EISSN : 29646804     DOI : https://doi.org/10.55927/fjst.v1i2
Core Subject : Humanities, Science, Education, Social, Engineering,
Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Social Sciences
Formosa Journal of Science and Technology (FJST) is an open-access scientific journal that publishing full-length research papers and review articles covering subjects that fall under the wide spectrum of science and technology. FJST journal is dedicated towards dissemination of knowledge related to the advancement in science and technology. The prestigious interdisciplinary editorial board reflects the diversity of subjects covered in this journal. Under the realm of science and technology, the coverage includes environmental science, pure and applied mathematics, agricultural research and engineering, biology, biotechnology, bioinformatics, management science, business and economics, Healthcare sciences (including clinical medicine, preventive medicine & public health), physics, biophysics, computer science, chemistry and bioengineering, to name a few. Formosa Journal of Science and Technology is published by Formosa Publisher. The journal now brings out monthly publications. It supports the open access policy for making scientific research accessible to one and all.
Arjuna Subject : Umum - Umum
Articles 896 Documents
 86   87   88   89   90 
Optimal Design-Based Efficiency Analysis of Roof Truss Construction for Construction Industry Recovery Sudarno P Tampubolon
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.149

Abstract

The demand for simple, efficient, and functional roof structures has increased significantly due to the need for economical and sustainable construction solutions. This study develops an optimized roof truss design by integrating conceptual planning, structural analysis, and material quantity estimation. Structural performance was evaluated using both the Structure Analysis Program and the Ritter Method. Comparative analysis revealed no significant discrepancies between the two methods, indicating that the proposed design approach can be reliably applied in regions with limited access to advanced design software and technological resources. Based on the proposed construction and implementation methodology, the total material requirement was calculated at 33.57 m from an available material length of 36.00 m, leaving a residual length of only 2.43 m. The resulting material utilization efficiency reached 93.3%, highlighting the potential of the proposed design to reduce material waste and improve construction efficiency while ensuring structural performance
Data Mining Approach for Early Identification of Diabetic Retinopathy Using Electronic Health Records Mukhamad Hasim Iswanto
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.146

Abstract

Diabetic retinopathy is a complication of diabetes that is at risk of causing visual impairment so it requires early identification based on clinical data. This study aims to identify patterns of association between patient characteristics, glucose levels, diabetes duration, blood pressure, and retinopathy conditions through electronic health records. The study used an exploratory descriptive design based on EHR secondary data with purposive sampling of 30 medical records of diabetic patients who met the study criteria. Data were collected through electronic medical record documentation and analyzed using data mining techniques to find meaningful patterns between clinical variables. Results showed that longer duration of diabetes, higher glucose levels, and high blood pressure were the dominant patterns in patients with indications of retinopathy. These findings suggest that data mining on electronic medical records has the potential to support early screening and clinical decision-making
Exploring the Relationship Between Generative Artificial Intelligence Usage and the Development of University Students’ Critical Thinking in Higher Education Agustina; Dwi Otik Kurniawati; Boy Lumoindong; Irwan Suanto
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.145

Abstract

The increasingly widespread use of generative artificial intelligence (GenAI) in higher education has raised concerns about its influence on the development of students' critical thinking. This study aims to analyze the relationship between the intensity of GenAI use and changes in students' critical thinking skills. The study used a quantitative approach with a longitudinal correlational design on 186 students from three universities. Data was collected through GenAI usage questionnaires and critical thinking tests at the beginning and end of the semester. The analysis was performed using descriptive statistics, paired t-tests, Pearson correlation, and linear regression. The results showed an increase in critical thinking scores from 68.4 to 74.9, as well as a moderate positive relationship between the use of reflective GenAI and critical thinking development (r=0.46; p<0.001). The findings confirm the importance of the integration of directed, reflective, and evaluation-based GenAI in learning to improve the quality of higher education
Human Centered Technology Management for Innovation and Sustainable Competitive Advantage Ibnu Rokhman
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.144

Abstract

The accelerating technological transformation requires organizations to manage technology not only from the technical aspect, but also by considering the human needs, participation, and adaptability of the organization. This research aims to explore how human-centered technology management supports organizational innovation and contributes to sustainable competitive advantage. The research used a qualitative approach with an exploratory design on 20 informants consisting of technology managers, innovation managers, and organizational leaders in technology-based companies. Data were collected through semi-structured in-depth interviews and analyzed using thematic analysis. The results show that employee participation, human-oriented technology design, digital capability development, and adaptive leadership strengthen the innovation process as well as organizational responsiveness. The findings affirm the importance of integrating the human aspect in technology management to build innovation and sustainable competitive advantage
Explainable Artificial Intelligence Framework for Trustworthy Decision Support Systems Ali Ahmad
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.143

Abstract

The application of artificial intelligence in decision support systems faces transparency challenges that can reduce user confidence in the results of recommendations. This research aims to develop an Explainable Artificial Intelligence framework that supports a transparent, understandable, and accountable decision support system. The research used an exploratory qualitative approach with semi-structured interviews with 20 informants consisting of AI developers, information systems experts, and professional users. The data was analyzed using thematic analysis to identify the need for explanation, confidence-building factors, and the characteristics of information that were considered relevant. The results show that clarity of decision reasons, consistency of explanations, traceability of processes, and suitability of context are the main elements of forming trust. This research produces an XAI conceptual framework that can be the basis for the development of a more transparent, reliable, and user-oriented decision support system
Human Centered Design Adaptation in Smart and Climate Resilient Public Spaces Achmad Zoelkarnaen Rasjid
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.142

Abstract

Climate change and the digitalization of cities demand public spaces that are adaptive, inclusive, and user-oriented. This study aims to analyze the relationship between the application of human-centered design and thermal comfort, accessibility, safety perception, duration of use, and microclimate performance as an indication of climate resilience. The mixed methods method was used through behavioral observation, temperature and humidity measurements, questionnaires to 120 users, and interviews with eight stakeholders. Data were analyzed using descriptive statistics, Spearman correlation, and thematic analysis. The results show that vegetation, shade, adaptive furniture, universal access, and information technology are positively related to the quality of user experience. The research concludes that the integration of environmental performance, inclusive design, and user-oriented technologies supports the development of smart, climate-resilient public spaces
Implementation of a Cup Availability Monitoring System in the Microcontroller-Based Automatic Milk Pasteurization Production Process at Luru Barokah MSMEs Fauzi Nur Maqi; Rudi Hartono; Nuari Anisa Sivi
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.141

Abstract

Implementation of a Microcontroller-Based Cup Availability Monitoring System for the Automated Milk Pasteurization Production Process at MSME Luru Barokah. This research aims to design, build, and implement a microcontroller-based monitoring system to automate this process. The methodology includes observation, interviews, literature review, and documentation, with system development following the Research and Development (R&D) model encompassing analysis, design, development, evaluation, and implementation phases. The developed prototype utilizes an Arduino Uno R3 and an HC-SR04 ultrasonic sensor to continuously detect cup distance, using a calibrated threshold of 16 cm. The system also features a buzzer for audible alerts and red and green LEDs as visual indicators of cup availability status. Implementation results demonstrate 100% detection accuracy and a rapid response time of under one second, effectively assisting operators by eliminating the need for manual checks. This implementation is expected to enhance operational efficiency, minimize the risk of human error, and support the smooth operation and sustainability of milk pasteurization production at UMKM Luru Barokah
Evaluation of the Development of MSMEs in Dumai City using Business Model Canvas Variza Aditiya; Novelma Lastri; Dwi Hartutik; Andi Desy Musdiana; Suprasman
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.140

Abstract

The development of MSMEs in Dumai City still faces limitations in business model mapping, market access, partnerships, and resource management, so it requires a structured evaluation. This study aims to evaluate the development of MSMEs through the nine elements of the Business Model Canvas and identify priority aspects of improvement. The study used a qualitative descriptive approach through interviews with 20 MSME actors who were selected purposively. Data is analyzed through data reduction, data presentation, conclusion drawn, and Business Model Canvas mapping. The results show that the value proposition and customer relationships are relatively strong, while marketing channels, key partnerships, and revenue streams are still weak. The research concludes that the Business Model Canvas is effective as an evaluation instrument and the basis for the preparation of adaptive and sustainable MSME development strategies
Smart Destination in Shaping Regenerative Tourism through Human Artificial Intelligence Collaboration Mita Erdiaty Takaendengan; Jamaludin Kabalmay; Deby Christinani Sendow; Mahardika Inra Takaendengan
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.133

Abstract

Sustainable tourism faces the challenges of environmental degradation and an imbalance of economic benefits, so a smart destination approach that integrates human collaboration and artificial intelligence is needed to support regenerative tourism. This study aims to analyze the influence of smart destination integration and human-AI collaboration on the development of regenerative tourism and the relationship between variables. Quantitative methods were used by surveying 200 respondent tourists and destination managers, collected through a structured questionnaire and analyzed using multiple linear regression. The results show that smart destinations and human-AI collaboration have a significant effect on improving the quality of travel experiences, management efficiency, and destination regenerative practices. The conclusion of the study confirms that the synergistic integration of technology and human role makes a practical contribution to strengthening adaptive and sustainable regenerative tourism models
Student Experiences in Developing Self-Directed Learning Within Technology-Based Learning Systems in Higher Education Diah Widiastuti; Titi Ratnasari
Formosa Journal of Science and Technology Vol. 5 No. 8 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v5i8.132

Abstract

This study examines collective frequency desynchronization in artificial intelligence-stabilized renewable energy networks and its effect on autonomous grid recovery capacity. A calibrated digital-twin model was developed for a representative islanded 20-kV hybrid renewable distribution network in East Nusa Tenggara, Indonesia, consisting of 8.5 MWp solar photovoltaic generation, 2.4 MW wind generation, a 4 MW/16 MWh battery energy storage system, 18 distribution buses, and a peak load of 10.2 MW. The model was calibrated using 30 days of operational profiles, including renewable power output, feeder load, battery state of charge, inverter response, and local frequency measurements. Dynamic time-domain simulations were conducted under 1,500 disturbance scenarios involving renewable intermittency, sudden load variation, battery power limitation, communication delay, and inverter control mismatch. The results show that AI-based frequency stabilization improved recovery performance under normal communication conditions, reducing average frequency recovery time from 11.2 s to 8.7 s. However, when renewable penetration exceeded 70% and communication latency increased above 200 ms, coordinated AI control actions produced phase-shifted responses among inverter clusters, causing partial frequency incoherence. Under this condition, the autonomous recovery capacity index declined from 0.86 to 0.64, while average recovery time increased to 13.9 s. These findings indicate that AI-based stabilization can strengthen renewable grid resilience, but only when latency-aware coordination and frequency-coherence constraints are integrated into the control architecture. The study provides a practical simulation framework for assessing autonomous recovery capability in low-inertia, inverter-dominated renewable energy networks

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