RANCANG BANGUN SISTEM MONITORING DAN PENGUKURAN KUALITAS AIR BERSIH DI PESISIR PANTAI MUARA GEMBONG BERBASIS INTERNET OF THINGS (IOT)

ALDEL SURYA SYAHPUTRA, . (2026) RANCANG BANGUN SISTEM MONITORING DAN PENGUKURAN KUALITAS AIR BERSIH DI PESISIR PANTAI MUARA GEMBONG BERBASIS INTERNET OF THINGS (IOT). Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian bertujuan untuk merancang bangun sistem monitoring dan pengukuran kualitas air bersih di pesisir pantai muara gembong berbasis Internet of things (IoT) guna membantu mempermudah pemantauan kelayakan air secara real-time. Metode pengembangan produk yang digunakan dalam penelitian ini mengadaptasi model V-Model yang terbagi ke dalam sembilan tahapan terstruktur mulai dari tahap analisis kebutuhan (requirement analysis), perancangan sistem (system design), hingga implementasi baris kode pemrograman menggunakan perangkat lunak Arduino IDE serta pengujian komprehensif. Sistem tertanam ini dibangun menggunakan mikrokontroler ESP32 sebagai pusat pemroses data, sensor pH analog tipe 4502C untuk mengukur tingkat keasaman cairan, dan sensor Total dissolved solid (TDS) untuk mendeteksi kepekatan zat padat terlarut. Aksesibilitas parameter ukur dirancang secara ganda, yaitu ditampilkan secara lokal melalui layar LCD 20x4 I2C di lapangan serta ditransmisikan secara nirkabel ke dasbor aplikasi Blynk pada ponsel pintar. Hasil pengujian eksperimental menunjukkan bahwa sistem memiliki tingkat keandalan dan akurasi yang sangat tinggi. Pengujian pada sensor TDS menghasilkan pembacaan yang presisi dengan nilai kesalahan (error) rata-rata sebesar 2,55% setelah melalui 4 kali pengulangan terhadap alat ukur referensi laboratorium. Sementara itu, pengujian sensor pH pada sampel air netral mencatatkan nilai pembacaan rata-rata 6,98 dari nilai referensi baku 7,01, menghasilkan persentase error rata-rata sebesar 0,67%. Pada aspek performa telemetri jaringan nirkabel menuju cloud server Blynk, kalkulasi akumulatif menunjukkan rata-rata delay transmisi data sebesar 53,15 ms, packet loss sebesar 0,3%, dan nilai jitter sebesar 4,84 ms. Berdasarkan indikator standarisasi kriteria kualitas jaringan TIPHON, performa transmisi IoT pada alat monitoring ini secara ilmiah diklasifikasikan ke dalam kategori "Sangat Bagus" karena berada jauh di bawah ambang batas maksimum distorsi telemetri. *********** This study aims to design and develop an Internet of things (IoT)-based Clean Water Quality Monitoring and Measurement System for the Muara Gembong Coast to facilitate real-time monitoring of water quality. The product development method used in this study adapts the V-Model, which is divided into nine structured phases ranging from requirement analysis and system design to the implementation of programming code using the Arduino IDE software and comprehensive testing. This embedded system was built using an ESP32 microcontroller as the data processing hub, a 4502C analog pH sensor to measure the acidity level of liquids, and a Total dissolved solids (TDS) sensor to detect the concentration of dissolved solids. Access to measurement parameters is designed in two ways: they are displayed locally via a 20x4 I2C LCD screen in the field and transmitted wirelessly to the Blynk app dashboard on a smartphone. The results of experimental testing show that the system has a very high level of reliability and accuracy. Testing of the TDS sensor produced precise readings with an average error of 2.55% after four repetitions against a laboratory reference instrument. Meanwhile, testing of the pH sensor on a neutral water sample recorded an average reading of 6.98 compared to the standard reference value of 7.01, resulting in an average error percentage of 0.67%. Regarding the performance of wireless network telemetry to the Blynk cloud server, cumulative calculations showed an average data transmission delay of 53.15 ms, a packet loss rate of 0.3%, and a jitter value of 4.84 ms. Based on the TIPHON network quality criteria standardization indicators, the IoT transmission performance of this monitoring device is scientifically classified as “Excellent” because it falls well below the maximum telemetry distortion threshold.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Baso Maruddani, M.T ; 2). Dr. Imam Arif Rahardjo, M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Aldel Surya Syahputra .
Date Deposited:	12 Aug 2026 03:08
Last Modified:	12 Aug 2026 03:08
URI:	http://repository.unj.ac.id/id/eprint/69896

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