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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING The Indonesian Journal of Computer Science
Sultan Syahputra Yulianto
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Analisa Performansi Komunikasi Lora (Long Range) pada Sistem Monitoring Buoy di Laut Sa'adah, Nihayatus; Aries Pratiarso; Faridatun Nadziroh; Nailul Muna; Karimatun Nisa’; I Gede Puja Astawa; Tri Budi Santoso; Sultan Syahputra Yulianto
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4462

Abstract

LoRa (Long Range) is a leading technology in Low Power Wide Area Networks (LPWAN), ideal for Internet of Things (IoT) applications. Designed for long-range communication with low power consumption, LoRa is used in monitoring navigation buoys, critical aids in marine waters. An IoT-based monitoring system is essential for maintaining buoy functionality. LoRaWAN, with a range of 15 kilometers under line of sight (LoS) conditions, is employed for IoT connectivity in this system. In this study, 915 MHz LoRa communication was used in buoy monitoring, with performance evaluated based on signal-to-noise ratio (SNR) and received signal strength indicator (RSSI). Measurements showed an average RSSI greater than -120 dB and an average SNR greater than -20 dB, indicating LoRa's suitability as a communication network for buoy monitoring systems.
Optimizing LoRa Gateway Placement for Marine Buoy Monitoring Using Particle Swarm Optimization (PSO) Nihayatus Saadah; Faridatun Nadziroh; Nailul Muna; Karimatun Nisa’; Aries Pratiarso; I Gede Puja Astawa; Tri Budi Santoso; Sultan Syahputra Yulianto; Ahmad Baihaqi Adi Putro
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.11026

Abstract

Effective marine environmental monitoring is critical for ensuring navigational safety, with LoRa technology emerging as a promising solution due to its long-range, low-power capabilities. However, the performance of LoRa networks heavily depends on strategic gateway placement, a task often performed manually, leading to suboptimal coverage. This study addresses this challenge by implementing and validating a Particle Swarm Optimization (PSO) algorithm to determine the optimal placement of gateways for a real-world network of 157 marine buoys in the Madura Strait. The PSO algorithm, configured with 30 particles and 100 iterations, was benchmarked against a baseline manual selection method based on geographic centrality. Results demonstrate a significant performance gain: the PSO-optimized configuration achieved 100% network coverage (157 buoys), a 34.2% increase over the 117 buoys covered by the manual method. These findings confirm that employing PSO for gateway placement substantially enhances network efficiency and data reliability, highlighting its value for creating robust and scalable marine IoT applications.
Co-Authors Ahmad Baihaqi Adi Putro Aries Pratiarso Faridatun Nadziroh I Gede Puja Astawa Karimatun Nisa’ Nailul Muna NIHAYATUS SAADAH Sa'adah, Nihayatus Tri Budi Santoso