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All Journal TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Internet of Things and Artificial Intelligence Journal
Ali, Erfansyah
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Journal : Internet of Things and Artificial Intelligence Journal

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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.
The Fabrication of Electronics Wearable Bracelets and approach to telecommunications: A Review Adiprabowo , Tjahjo; Ramdani , Dani; Andriana, Andriana; Zulkarnain , Zulkarnain; Hasudungan, Olly Vertus; Ali, Erfansyah; Bethel , Ade Yoska Artadinata; Panca , Dimas
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i2.886

Abstract

This research aims to develop an innovative and easy-to-use fetal heart rate monitoring bracelet for pregnant women. The design of this bracelet involves various electronic aspects, including signal acquisition using optical sensors (Ultrasound Doppler, ECG, or PPG), signal processing with a microcontroller and efficient algorithms to eliminate noise and detect heart rate, as well as data display and communication via LCD screen, LED indicator, or Bluetooth connection. The power aspect is an important consideration in the selection of the right battery and power management. The design of the bracelet considers ergonomics and safety for pregnant women and fetuses. Testing and validation are carried out thoroughly, including functionality testing and clinical trials. This research also considers ethical aspects, such as data privacy and information reliability. By integrating all these aspects, it is hoped that this research can produce a prototype fetal heart rate monitoring bracelet that is accurate, safe, and comfortable to use, thus contributing to improving maternal and child health. Wearable Bracelet must-have comfort factors components consisting of Size & Dimensions, Device Weight, Strap Material, Thickness, Flexibility, Component Distribution, Edges & Corners, and Skin Ventilation. From the intructables' sample results the comfort level is 52.5%, while the tool created by Puput Dani Prasetyo has a comfort level of only 50%. And this needs to be increased to >90%.
Co-Authors Adiprabowo , Tjahjo Adiprabowo, Tjahjo Andriana Andriana Bethel , Ade Yoska Artadinata Dani Ramdani, Dani Daud, Pamungkas EDWAR EDWAR Feriska, Rizkia Hasudungan, Olly Vertus Muzzaki, Ikhwan Nasrullah, Nanang Panca , Dimas Ramdani , Dani Zulkarnain , Zulkarnain Zulkarnain Zulkarnain