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All Journal ILKOM Jurnal Ilmiah Internet of Things and Artificial Intelligence Journal
Adiprabowo, Tjahjo
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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LoRaWAN-Based Communication for Autonomous Vehicles: Performance and Development Saharuna, Saharuna; Adiprabowo, Tjahjo; Yassir, Muhammad; Nurdiana, Dian; Adi, Puput Dani Prasetyo; Kitagawa, Akio; Satyawan, Arief Suryadi
ILKOM Jurnal Ilmiah Vol 16, No 3 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i3.2311.236-254

Abstract

Automotive technology in the future continues to develop with a variety of sophistication, especially in vehicles that can move on their own, this research is new from previous developments, intelligent vehicles can be seen from various system developments ranging from the ability to find parking positions, have the right navigation system, and are equipped with various artificial senses such as LiDAR, Smart Camera, Artificial Intelligence, and various components for telecommunications. A small part that will be discussed in this research is in terms of data communication. The development of intelligent vehicles in a broader scope can be included in one of the categories to build a Smart City. In the analysis system, this research develops in terms of analyzing the possibility of data collisions or how to avoid them, with various methods that can be developed and approached comprehensively using LoRaWAN, so that a method can be determined using LoRaWAN Communication and LoRa Modules that can have an important impact in the development of intelligent vehicles or autonomous vehicles for Smart City. In this paper, the LoRa data transmission approach is to use the GPS Module, the GPS Module data is sent from each car to the nearest LoRaWAN Gateway, the car can automatically select the nearest Gateway for data optimization, reducing Packet Loss and Signal Attenuation due to LoRa data communication in the NLOS area, This article still uses data transmission simulation using MATLAB and is planned to be applied to Smart vehicles directly, the contribution of this research is the discovery of a new method in terms of LoRaWAN-based multi-point data transmission that can avoid data collisions from the position of intelligent vehicles in Mobile or moving, in building Smart City technology in the future.
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.
IoT-Based Real-Time Train Position Monitoring System Using GPS Andriana, Andriana; Setia, Hipni; Ramdani, Dani; Zulkarnain, Zulkarnain; Rahman, Sutisna Abdul; Adiprabowo, Tjahjo
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.v5i2.919

Abstract

In this modern era, the need for fast, efficient, and quality transportation is important, one of which is in the railway sector. Although trains have special tracks, accidents can still occur due to various factors, such as infrastructure damage and officer negligence. One of the accidents that occurred on January 5, 2024, between the Turangga train and the Bandung Commuter Line caused fatalities and injuries. To overcome this problem, a real-time train position monitoring system is needed. This research aims to design and develop a train position monitoring system using a GPS module. GPS (Global Positioning System) is widely used for tracking systems. This system monitors the position of trains and other information that can be accessed by station officers and the general public. By using the ESP32 microcontroller and NEO-6M GPS module, this system is expected to improve the safety of train travel, minimize the potential for accidents, and provide more accurate information about train arrival times at the station. This research also aims to test the performance of the monitoring system in real conditions. It is hoped that with this system, train accidents due to negligence can be minimized, and provide significant benefits for officers and the public who use train transportation.
Co-Authors Adi, Puput Dani Prasetyo Ali, Erfansyah Andriana Andriana Dani Ramdani Dani Ramdani, Dani Daud, Pamungkas Kitagawa, Akio Muhammad Yassir Nasrullah, Nanang Nurdiana, Dian Olly Vertus Rahman, Sutisna Abdul Saharuna, Saharuna Satyawan, Arief Suryadi Setia, Hipni Simarmata, Melissa T. A. Zulkarnain Zulkarnain Zulkarnain Zulkarnain