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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Journal of Applied Information, Communication and Technology (JAICT) ILKOM Jurnal Ilmiah
Kitagawa, Akio
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Computer Science & IT 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.
Performance Analysis of LoRaWAN Communication Utilizing the RFM96 Module Yassir, Muhammad; Soepandi, Harry; Hanani, Ajib; Prakasa, Johan Ericka Wahyu; Puspitadewi, Ganis Chandra; Wibowo, Sastya Hendri; Adi, Puput Dani Prasetyo; Kitagawa, Akio
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.v16i3.2326.255-270

Abstract

This research discusses the utilization of LoRa and LoRaWAN or Low Power Wide Area (LPWA) and Low Power Wide Area Network (LPWAN). In this study, the application server is utilized using Telkom IoT. In its utilization, Telkom IoT can provide comprehensive results regarding LoRa quality of service capabilities such as bit rate, latency, and longitude and latitude data. Terrestrial measurements conduct tests in different areas with different conditions that cause different data obstruction, with several LoRa end-node points transmitting data with low bit-rate. For example, heart rate data. Some other parameters are the spreading factor (SF) and power consumption. Some parameters that determine the quality of transmitting data include the Spreading Factor and the Bandwidth used. From the analysis dan Experiment results, the Delay (ms) generated from measurements using RFM96 LoRa for IoT is around 0.02 seconds or 20 ms to around 0.05 seconds or 50 ms, and sometimes it can reach 0.07 ms to 0.09 ms. RSSI and SNR show the quality of the signal obtained which will provide a Quality of Service (QoS) value. From the measurement results using Telkom IoT in several times of data collection and testing, the average RSSI (-dBm) is at -110 dBm to -115 dBm. While SNR is at -10 dB to -16 dB.
Analysis of IoT-LoRa to Improve LoRa Performance for Vaname Shrimp Farming Monitoring System Adi, Puput Dani Prasetyo; Ardi, Idil; Plamonia, Nicco; Wahyu, Yuyu; Mariana L, Angela; Novita, Hessy; Mahabror, Dendy; Zulkarnain, Riza; Wirawan, Adi; Prastiyono, Yudi; Waryanto, Waryanto; Susilo, Suhardi Atmoko Budi; Rahmatullah, Rizky; Kitagawa, Akio
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i1.27598

Abstract

Shrimp farming requires a touch that must be right on the side of water quality; water is a fundamental factor that must be met to achieve maximum yields. Many factors affect the quality of the water, but some things cause changes in water quality caused by external and internal factors causing death in shrimp. Disease conditions in shrimp can attack at any time, coupled with external factors such as extreme climate change, and cause changes in water components such as water pH, CaMg or hardness, and other factors that cause death in shrimp. Water turbidity oxygen demand (DO) in water determines the life of shrimp. It is coupled with microorganisms that must be maintained to maintain water quality for the growth of a Vaname shrimp. This research raises the Aquaculture System, specifically in the process of intelligent monitoring of water quality in shrimp nurseries to the shrimp harvest process, especially vaname shrimp from the results of observations use three sensors connected to LoRaWAN is able to provide real-time data from pond water and transmit it to LoRa Server or Internet Server, and the realtime data can be read through a Smartphone. This research analyzes in detail the ability of LoRaWAN to send multi-sensor data and Quality of Service LoRaWAN communication at different distances. This research also discusses how the LoRa antenna design can be developed to improve the performance of LoRa as transmitting devices or Radio Frequency 920-923 MHz for sending sensor data for Aquaculture.The contribution of this research is shown in the real-time monitoring system of the water environment, namely water pH, ammonia, turbidity, DO, salinity, water temperature, and nitrate in vaname shrimp ponds. The following contribution is the development of LoRaWAN with Tago IO servers capable of being used in Smart Aquaculture for contributions to The Things Network community or LoRaWAN Community.
Asymmetrical 3x1 Disk Patch Array with Rugby Ball Slot Microstrip Antenna for LoRa IoT B-OSA (Bidirectional Outdoor Sectoral Area) System Bramantyo, Hutama Arif; Mujahidin, Irfan; Kitagawa, Akio; Apriantoro, Roni; Rochmatika, Rizkha Ajeng; Waluyo, Catur Budi
JAICT Vol. 10 No. 1 (2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v10i1.6593

Abstract

Using minimal transmission power, Long-Range Wide Area Networks (LoRaWAN) enable the transmission of data via radio connections from sensors, which may be remote or challenging to reach, to gateways and servers linked to mobile networks for data processing, exchange, or relay, so generating numerous applications for object monitoring and tracking. Nonetheless, owing to its attributes of low data rates for low-power communications, information transmission utilizing LoRa technology is inadequate for rapid real-time data monitoring. Moreover, the narrow bandwidth of LoRa modulation techniques will yield minimal accuracy in localization efforts, as it cannot effectively address multipath issues. This paper proposes a multi-standard 3X1 Antenna Array and a LoRa end device that accurately measures locations using 3X1 technology and transmits this location data to the gateway and Internet of Things Network via LoRa. Measurement outcomes in both indoor and outdoor environments indicate that Antenna Array 3X1 achieves localization accuracy at the sub-meter level, specifically between 10 and 33 cm. Furthermore, Antenna Array 3X1 demonstrates ranges of 124 m in Line-of-Sight (LOS) scenarios and 55 m in Non-Line-of-Sight (NLOS) scenarios, respectively.
Co-Authors Adi Wirawan Adi, Puput Dani Prasetyo Adiprabowo, Tjahjo Ajib Hanani Apriantoro, Roni Ardi, Idil Catur Budi Waluyo, Catur Budi Ganis Chandra Puspitadewi Harry Soepandi Hutama Arif Bramantyo Johan Ericka Wahyu Prakasa Mahabror, Dendy Mariana L, Angela Muhammad Yassir Novita, Hessy Nurdiana, Dian Plamonia, Nicco Prastiyono, Yudi Rahmatullah, Rizky Rochmatika, Rizkha Ajeng Saharuna, Saharuna Sastya Hendri Wibowo Satyawan, Arief Suryadi Susilo, Suhardi Atmoko Budi Waryanto, Waryanto Yuyu Wahyu Zulkarnain, Riza