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All Journal Jurnal INKOM Jurnal Elektronika dan Telekomunikasi JURNAL TIARSIE EDUCARE Makara Journal of Science Internet of Things and Artificial Intelligence Journal
Daud, Pamungkas
Indonesian Institute Of Sciences
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Journal : Internet of Things and Artificial Intelligence Journal

 1 
Satellite Technology for Internet of Things: An Overview Adiprabowo, Tjahjo; Ramdani, Dani; Daud, Pamungkas; Andriana, Andriana; Zulkarnain, Zulkarnain; Nasrullah, Nanang; Vertus, Olly; Rahman, Sutisna Abdul; Simarmata, Melissa T. A.
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i1.758

Abstract

This article is about satellite review which is essential for internet connectivity and also the development of IoT and other applications, this article contains history, performance, challenges, and research opportunities in the field of satellite development. Satellite development can be applied to improving the performance of various applications such as IoT, Education, and Medical, as well as real-time monitoring such as monitoring pets such as horses and cows in large numbers, as well as other essential applications such as the medical world. Satellite development is essential for applications in the world today and in the future. Satellite technology development is tailored to the needs, for example with the Mini Cube Satellite used for the development of LPWAN IoT technology orbiting in Low Earth Orbit (LEO).           
Radar-Based Tsunami Detection: A Comprehensive Review Adiprabowo, Tjahjo; Ramdani, Dani; Daud, Pamungkas; Andriana, Andriana; Ali, Erfansyah; Nasrullah, Nanang; Zulkarnain, Zulkarnain
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i2.727

Abstract

A tsunami is a large sea wave caused by an earthquake or underwater landslide. Timely detection of tsunamis is critical to saving lives and minimizing damage to infrastructure. Radar has proven to be an effective tool for tsunami detection. This comprehensive review discusses the use of radar for tsunami detection. The two types of radar discussed are HF (High Frequency) radar and DART (Deep ocean Assessment and Reporting of Tsunamis) radar. HF radar can detect tsunamis from long distances in real-time. However, HF radar is susceptible to electromagnetic interference. The DART radar is specifically designed for deep sea tsunami detection. This radar provides real-time information about tsunami waves. However, the DART radar requires expensive marine infrastructure to install and operate. This review concludes that HF radar and DART radar have their respective advantages and disadvantages. The combination of both types of radar can provide a more comprehensive solution for tsunami detection. Further research is needed to improve the reliability of radar-based tsunami detection systems.
Co-Authors -, Shobih -, Sugihartono ., Taufiqqurrachman Adiprabowo, Tjahjo Ali, Erfansyah Andayani, Niluh Sri Andriana Andriana Dadin Mahmudin Dadin Mahmudin Dadin Mahmudin, Dadin Dani Ramdani Dani Ramdani, Dani Dicky, Gabriel Elmi Cahyaningsih Fathnan, A. A. Fiky Y. Suratman Ganjar Turesna Gita Ambar Dini Isa Anshori Mahmudin, D. Manurung, Robeth Viktoria Muhamad Ridwan Widyantara Nasrullah, Nanang Niluh Sri Andayani Olly Vertus Rahman, Sutisna Abdul Roy Chaidir Shobih - Simarmata, Melissa T. A. Slamet Widodo Slamet Widodo Sugihartono - Taufiqurrahman, Shidqie Topik Teguh Estu, Topik Teguh Uut Uswatun Hasanah Widyantara, Muhamad Ridwan Wijayanto, Y. N. Yusuf Nur Wijayanto Yusuf Nur Wijayanto Yusuf Nur Wijayanto, Yusuf Nur Zulkarnain Zulkarnain Zulkarnain Zulkarnain