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Fuzzy Logic Based LoRa and IoT Smart Buoy for Sea Wave Monitoring in Madura SAPUTRO, ADI KURNIAWAN; ALFITA, RIZA; ZUHUDI, MOHAMAD AHSAN; HARDIWANSYAH, MUTTAQIN; LAKSONO, DENI TRI; PURNAMASARI, DIAN NEIPA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 14, No 1: Published January 2026
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v14i1.26

Abstract

Indonesia is an archipelagic country with most of its territory consisting of water, increasing the risk of water-related natural disasters. Seawater waves, influenced by tidal movements, are one such phenomenon, and wind speed significantly affects their height. Faster sea winds can generate higher seawater waves. To obtain related data, a system capable of detecting seawater wave height and wind speed is required. This study aims to test a LoRa (Long Range)-based seawater wave detection system that is both efficient and reliable. The system uses a BNO055 sensor to measure wave height and an anemometer to detect wind speed. The relationship between wind speed and seawater wave height is analyzed using the fuzzy Mamdani method. Results show the BNO055 sensor has 92% accuracy, the anemometer 98.4%, and the fuzzy Mamdani method yields an error rate of only 0.25%. This system is expected to enhance marine monitoring and safety efforts.
Evaluation of Latency, Range, and Path Redundancy in Multihop Communication Using the NRF24L01 Module Purnamasari, Dian Neipa; Saputro, Adi Kurniawan; Barqi, Moch. Roziqul; Ma’rifah, Puteri Nurul; Ms, Achmad Ubaidillah; Hardiwansyah, Muttaqin
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.33470

Abstract

This research focuses on evaluating the performance of NRF24L01 module-based multihop wireless communication networks, specifically on latency, range, and path redundancy resilience. The network was designed with 8 nodes (1 sender and 7 router/receiver nodes) for data transmission. Response time (latency) is explicitly measured using synchronized timestamps from a Real Time Clock (RTC) DS3231 across all nodes. This performance-oriented study involved three main scenarios: 1) Line of Sight (LoS) to measure maximum range and baseline latency, 2) Non-Line of Sight (NLoS) to test the impact of physical obstacles, and 3) Automatic Routing and Path Redundancy testing to evaluate the failover capability. In the LoS scenario, effective communication reached 310 meters with an average latency of 1,046 ms. Conversely, in the NLoS scenario, communication remained effective up to 33 meters with an average latency of 763 ms. The path redundancy analysis demonstrates that the system successfully performed a failover when an intermediate node was shut down, though it caused a net latency increase of more than 800 ms on the alternative path. These results confirm that NRF24L01 can provide reliable multihop connectivity suitable for long-distance monitoring applications.