Abdussyakur, Fawaz (2025) Implementasi Sistem IoT untuk Monitoring Curah Hujan, Level Air, dan Remote Pintu Air dengan Protokol MQTT dan HTTP pada Pengelolaan Irigasi. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Proyek Akhir dengan judul "Implementasi Sistem IoT untuk Monitoring Curah Hujan, Level Air, dan Remote Pintu Air dengan Protokol MQTT dan HTTP pada Pengelolaan Irigasi" berhasil memantau curah hujan dan level air, serta mengendalikan pintu air secara remote. Pengujian fungsionalitas sistem menunjukkan pengiriman data dari RUT ke AWS dan pengambilan data dari S3 Bucket menggunakan HTTP berjalan dengan baik. Pembacaan sensor curah hujan dan level air akurat, memungkinkan operator mengambil keputusan cepat dan tepat dalam menanggapi kondisi lapangan, seperti saat curah hujan tinggi (126 mm) pada 20 Juni 2025 yang menyebabkan kenaikan TMA signifikan, di mana operator berhasil menyesuaikan setpoint pintu air. Pengujian remote pintu air menunjukkan akurasi tinggi, dengan selisih antara setpoint dan posisi aktual aktuator berkisar antara 0,2 cm hingga 0,9 cm, dan performa lebih stabil pada rentang bukaan menengah hingga besar. Pengukuran Quality of Service (QoS) Protokol MQTT menunjukkan kinerja "Sangat Baik" atau "Baik" sesuai standar TIPHON, dengan nilai throughput tertinggi tercatat pada pukul 12:00 sebesar 1455 kbps, dan mengalami penurunan pada beberapa waktu seperti pukul 04:00 (312 kbps), 06:00 (427 kbps), 16:00 (430 kbps), dan 23:00 (388 kbps). Nilai packet loss berada di kisaran 0% hingga maksimal 0,35%, delay antara 5,099 ms hingga 15,985 ms, dan jitter antara 5,101 ms hingga 16,011 ms., membuktikan keandalan sistem dalam kondisi jaringan GSM di lokasi terpencil. Evaluasi sistem menunjukkan kemudahan penggunaan (88%), kecepatan respons (80%), kemudahan pengelolaan (90%), dan bantuan dalam pengambilan keputusan (88%), dan akurasi data sensor (76%). ======================================================================================================================================
This final project, titled " Implementation of an IoT System for Rainfall Monitoring, Water Level, and Remote Water Gate Control with MQTT and HTTP Protocols for Irrigation Management," successfully monitored rainfall and water levels, and remotely controlled water gates. System functionality testing showed that data transmission from the Remote Unit Terminal (RUT) to AWS and data retrieval from an S3 Bucket using HTTP worked well. Readings from the rainfall and water level sensors were accurate, enabling operators to make quick and precise decisions in response to field conditions. For instance, during high rainfall (126 mm) on June 20, 2025, which caused a significant increase in water level, operators successfully adjusted the sluice gate setpoint. Remote sluice gate control testing demonstrated high accuracy, with differences between the setpoint and the actuator's actual position ranging from 0.2 cm to 0.9 cm, and more stable performance at medium to large opening ranges. Quality of Service (QoS) measurements for the MQTT protocol showed "Very Good" or "Good" performance according to TIPHON standards, with the highest throughput recorded at 12:00 PM at 1455 kbps. Throughput decreased at certain times, such as 4:00 AM (312 kbps), 6:00 AM (427 kbps), 4:00 PM (430 kbps), and 11:00 PM (388 kbps). Packet loss ranged from 0% to a maximum of 0.35%, delay between 5.099 ms and 15.985 ms, and jitter between 5.101 ms and 16.011 ms, proving the system's reliability in GSM network conditions in remote locations. System evaluation indicated ease of use (88%), response speed (80%), ease of management (90%), assistance in decision-making (88%), and sensor data accuracy (76%).
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