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INDONESIA
Journal of Technology and System Information
Published by Indonesian Journal Publisher
ISSN : -     EISSN : 30322081     DOI : https://doi.org/10.47134/jtsi
Core Subject : Science,
Computer Science & IT
The Journal of Technology and System Information is dedicated to publishing cutting-edge research and advancements in the broad and dynamic intersection of technology and information systems. The focus of the journal is to facilitate the exchange of knowledge and ideas in these interconnected domains, fostering a deeper understanding of the role of technology in shaping information systems and vice versa. The journal welcomes contributions that span theoretical, empirical, and practical aspects, with an emphasis on the transformative impact of technology on information systems and vice versa. The scope of JTSI is a Information Technology and Systems, Data Management and Analytics, Emerging Technologies, System Design and Optimization, Cybersecurity and Privacy, Networks and Communication Systems, Artificial Intelligence and Machine Learning, Human-Computer Interaction.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 2 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2025): April" : 2 Documents clear
Implementation of the ADDIE Model in Chatbot Development using Diagramflow Nugraha , Fadhil Mureno Ega; Setiyawan, Muhammad
Journal of Technology and System Information Vol. 2 No. 2 (2025): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jtsi.v2i2.3758

Abstract

This study discusses the implementation of the ADDIE model in the development of a customer service chatbot using DiagramFlow. The ADDIE model, which consists of five stages—analysis, design, development, implementation, and evaluation—is applied to ensure that the chatbot enhances customer service efficiency. The analysis stage helps in understanding the needs of both customers and the customer service team, while the design and development stages ensure the chatbot functions optimally. The implementation of the chatbot demonstrates a positive impact in reducing the workload of customer service representatives and improving user experience. The evaluation indicates that the chatbot can provide fast and effective responses, although challenges remain in understanding customer language and achieving more natural interactions. Therefore, further development is necessary to enhance the chatbot’s intelligence, allowing it to better adapt to customer needs and deliver more optimal services.
Big Data and Predictive Analytics for Indonesia's Economic Transformation and Digital Resilience Maspul, Kurniawan Arif; Putri, Nugrahani Kartika
Journal of Technology and System Information Vol. 2 No. 2 (2025): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jtsi.v2i2.3774

Abstract

In an era defined by data, Big Data and Predictive Analytics have become indispensable tools for driving economic growth, innovation, and resilience. For Indonesia, one of Southeast Asia’s most dynamic digital economies, these technologies offer a transformative pathway to industrial modernization and global competitiveness. With over 212 million internet users and a digital economy projected to hit $146 billion by 2025, Indonesia is poised to harness the power of data to revolutionize sectors such as finance, healthcare, e-commerce, and manufacturing (Antara News, 2022). This study delves into the multifaceted landscape of Big Data in Indonesia, offering a comprehensive analysis of its economic potential and implementation challenges. It highlights how predictive analytics is reshaping industries, enabling businesses to optimize supply chains, enhance customer experiences, and mitigate risks with unprecedented precision. At the same time, it addresses pressing concerns such as data privacy, cybersecurity vulnerabilities, and the ethical implications of AI-driven decision-making. To unlock the full potential of Big Data, this study proposes actionable policy recommendations, including investments in data infrastructure, the development of ethical AI frameworks, and the expansion of STEM education and workforce training programs. Indonesia can create a long-term data ecosystem that balances innovation and responsibility by encouraging collaboration among government, industry, and academics. As Indonesia stands at the crossroads of the Fourth Industrial Revolution, the strategic integration of Big Data and Predictive Analytics is no longer optional—it is imperative. This study serves as a roadmap for Indonesia to harness the power of data, ensuring that these technologies drive not only economic growth but also inclusive development and digital resilience in an increasingly data-driven world.

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