RANCANG BANGUN SISTEM MONITORING AIR SUNGAI BERBASIS INTERNET OF THINGS

RIO ADI SAPUTRO, . (2026) RANCANG BANGUN SISTEM MONITORING AIR SUNGAI BERBASIS INTERNET OF THINGS. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Pemantauan kualitas air sungai konvensional secara manual dinilai kurang efektif dan tidak dapat menyajikan data secara real-time. Penelitian ini bertujuan merancang, membangun, dan menguji performa sistem pemantauan kualitas air sungai portabel dengan konsep mengapung (floating) berbasis Internet Of Things (IoT). Metode Penelitian dan Pengembangan (Research and Development) yang digunakan adalah V-Model dengan sembilan tahapan terstruktur. Perangkat ini menggunakan mikrokontroler Raspberry Pi Pico 2W sebagai pusat kendali utama yang diintegrasikan dengan modul ADC eksternal 16-bit ADS1115 untuk mereduksi noise tegangan analog. Parameter kualitas air yang dipantau meliputi suhu air (sensor DS18B20), tingkat keasaman (sensor pH-4502C), padatan terlarut (sensor TDS SEN0244), dan suhu udara (BMP280) serta penentuan koordinat lokasi alat menggunakan GPS u-Blox Neo-6M. Seluruh sistem kelistrikan disuplai secara mandiri (power autonomy) oleh kombinasi panel surya 20Wp, Solar Charge Controller (SCC), BMS 3S, dan baterai. Data ditransmisikan via MiFi ke Firebase Realtime Database setiap 10 detik dan divisualisasikan pada website monitoring. Hasil pengujian terintegrasi di Sungai Pesanggrahan dan Sungai Ciliwung menunjukkan tingkat akurasi secara spesifik, akurasi sensor pH sebesar 99,02%, sensor TDS sebesar 95,82%, dan sensor suhu sebesar 94,49%. ***** Conventional manual river water quality monitoring is considered ineffective and fails to provide real-time data. This study aims to design, develop, and test the performance of a portable, floating river water quality monitoring system based on the Internet of Things (IoT). The Research and Development (R&D) method employed is the V-Model, consisting of nine structured stages. The device utilizes a Raspberry Pi Pico 2W microcontroller as the main control center, integrated with an external 16-bit ADS1115 ADC module to reduce analog voltage noise. The water quality parameters monitored include water temperature (DS18B20 sensor), pH level (pH-4502C sensor), total dissolved solids (TDS SEN0244 sensor), and air temperature (BMP280), along with location tracking via a u-Blox Neo-6M GPS module. The entire electrical system is powered autonomously by a combination of a 20Wp solar panel, a Solar Charge Controller (SCC), a 3S BMS, and a battery. Data is transmitted via MiFi to a Firebase Realtime Database every 10 seconds and visualized on a monitoring website. Integrated testing conducted at the Pesanggrahan and Ciliwung Rivers demonstrated high measurement accuracy, specifically 99.02% for the pH sensor, 95.82% for the TDS sensor, and 94.49% for the temperature sensor.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Prof. Dr. Efri Sandi, M.T; 2). Drs. Pitoyo Yuliatmojo, M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Users 35634 not found.
Date Deposited:	11 Aug 2026 08:30
Last Modified:	11 Aug 2026 08:30
URI:	http://repository.unj.ac.id/id/eprint/69415

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