Rancang Bangun Sistem Sensor Berbasis IoT pada Buoy Apung

Pamungkas, Andrianto Bayu (2026) Rancang Bangun Sistem Sensor Berbasis IoT pada Buoy Apung. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemantauan kualitas air di Pelabuhan Tanjung Perak masih mengandalkan pengambilan sampel periodik yang lambat dan tidak mampu menangkap perubahan secara cepat. Tugas Akhir ini merancang dan membangun sistem sensor berbasis Internet of Things (IoT) pada buoy apung untuk memantau suhu, pH, kekeruhan, dan padatan terlarut total (TDS) secara real-time. Sistem menggunakan mikrokontroler ESP32 yang terintegrasi dengan sensor DS18B20, pH 4502-C, kekeruhan SEN0189, dan TDS, dengan data ditransmisikan melalui jaringan Wi-Fi ke aplikasi monitoring setiap 30 detik. Hasil kalibrasi, dinyatakan sebagai persentase kedekatan pembacaan terhadap alat pembanding, adalah suhu 94,10–97,10%, TDS 91,75–98,39%, kekeruhan 92,39–98,25%, dan pH 98,26–98,53%; model regresi TDS, kekeruhan, dan pH memiliki R² 0,943, 0,846, dan 0,950 yang menggambarkan kekuatan hubungan linear, bukan akurasi. Pada pengujian kondisi, rata-rata tingkat konsistensi pembacaan sebesar 98,02%, dan pada pengujian lapangan 98,49%, dengan sensor TDS menangkap perubahan dari kisaran 400 ppm ke 700–840 ppm. Hasil pengujian menunjukkan bahwa prototipe mampu membaca, mengirimkan, menampilkan, dan menyimpan data sensor pada skenario pengujian yang dilakukan.
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Water quality monitoring at Tanjung Perak Port still relies on periodic sampling that is slow and unable to capture rapid changes. This final project designs and develops an Internet of Things (IoT)-based sensor system on a floating buoy to monitor temperature, pH, turbidity, and total dissolved solids (TDS) in real-time. The system uses an ESP32 microcontroller integrated with DS18B20, pH 4502-C, SEN0189 turbidity, and TDS sensors, with data transmitted via a Wi-Fi network to a monitoring application every 30 seconds. Calibration results, expressed as the percentage closeness of sensor readings to the reference instrument, are 94.10–97.10% for temperature, 91.75–98.39% for TDS, 92.39–98.25% for turbidity, and 98.26–98.53% for pH; the TDS, turbidity, and pH regression models have R² of 0.943, 0.846, and 0.950, which describe the strength of the linear relationship, not accuracy. In condition testing, the average reading consistency was 98.02%, and in field testing 98.49%, with the TDS sensor capturing changes from around 400 ppm to 700–840 ppm. The test results show that the prototype is able to read, transmit, display, and store sensor data in the tested scenarios.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	buoy apung, Internet of Things, Kualitas Air, pemantauan real-time, sensor, floating buoy, Internet of Things, real-time monitoring, sensor, water quality
Subjects:	T Technology > TC Hydraulic engineering. Ocean engineering > TC363 Floating harbors. Including floating docks, piers, etc T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5103.2 Wireless communication systems. Two way wireless communication T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105 Data Transmission Systems
Divisions:	Faculty of Marine Technology (MARTECH) > Naval Architecture and Shipbuilding Engineering > 36201-(S1) Undergraduate Thesis
Depositing User:	Andrianto Bayu Pamungkas
Date Deposited:	31 Jul 2026 02:35
Last Modified:	31 Jul 2026 02:35
URI:	http://repository.its.ac.id/id/eprint/140228

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