PENGEMBANGAN SISTEM MONITORING KETINGGIAN AIR AKIBAT DEFORMASI SENSOR OPTIK EKSTENSOMETER BERBASIS INTERNET OF THINGS DENGAN METODE FUZZY LOGIC

YUDISTIRA SAPUTRA, . (2025) PENGEMBANGAN SISTEM MONITORING KETINGGIAN AIR AKIBAT DEFORMASI SENSOR OPTIK EKSTENSOMETER BERBASIS INTERNET OF THINGS DENGAN METODE FUZZY LOGIC. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Peristiwa banjir di Indonesia terus meningkat akibat perubahan iklim dan pertumbuhan urban yang pesat. Penelitian ini mengembangkan sistem monitoring ketinggian air menggunakan sensor optik ekstensometer berbasis IoT dengan metode fuzzy logic untuk peringatan dini banjir. Sistem memanfaatkan prinsip makrobending pada serat optik singlemode yang mengalami deformasi akibat pergerakan pelampung sesuai ketinggian air. Mekanisme konversi dengan rasio 100:1 memungkinkan deformasi serat optik 0-3 cm merepresentasikan ketinggian air 0-300 cm. Sistem terdiri dari tiga unit Laser Dioda Thorlabs L785P5 (transmitter dan receiver), mikrokontroler Arduino UNO untuk pemrosesan data, dan ESP32 Wemos untuk komunikasi WiFi ke Firebase. Pengujian menunjukkan akurasi sensor 90,83% dengan error 9,17% dalam pengukuran ketinggian air. Karakterisasi transmisi daya optik menghasilkan sensitivitas rata-rata sebesar 0,405 μW/mm, dengan sensitivitas meningkat menjadi 0,639 μW/mm pada deformasi tinggi, menunjukkan respons yang lebih tajam, dibandingkan sensitivitas 0,096 μW/mm pada deformasi rendah, yang mengkonfirmasi hubungan konsisten antara deformasi serat optik dan signal loss serta keunggulan adaptif pada level ketinggian air kritis. Pengujian mengungkapkan fenomena menarik berupa peningkatan sensitivitas pada deformasi tinggi, memberikan keuntungan adaptif pada level ketinggian air kritis. Algoritma fuzzy logic Mamdani mengklasifikasikan status peringatan (AMAN, WASPADA, BAHAYA) berdasarkan ketinggian air dan kecepatan perubahannya. Sistem berhasil mendeteksi perubahan ketinggian air secara real- time dan menampilkan informasi status melalui dashboard web, mendemonstrasikan keandalan sensor optik ekstensometer sebagai alternatif sensor konvensional dengan keunggulan ketahanan terhadap korosi dan interferensi elektromagnetik untuk aplikasi sistem peringatan dini banjir. ***** Flood events in Indonesia continue to increase due to climate change and rapid urban growth. This research develops a water level monitoring system using an IoT- based optical extensometer sensor with fuzzy logic for early flood warning. The system utilizes the macro bending principle on singlemode optical fiber that deforms due to the movement of a float according to the water level. A conversion mechanism with a 100:1 ratio allows 0-3 cm deformation of the optical fiber to represent 0-300 cm water level. The system consists of three units of Thorlabs L785P5 Laser Diode (transmitter and receiver), an Arduino UNO microcontroller for data processing, and an ESP32 Wemos for WiFi communication to Firebase. Testing showed the sensor's accuracy is 90.83% with an error of 9.17% in water level measurement. The characterization of optical power transmission resulted in an average sensitivity of 0.405 μW/mm. Sensitivity increases to 0.639 μW/mm at high deformation, indicating a sharper response, compared to 0.096 μW/mm at low deformation, which confirms a consistent relationship between optical fiber deformation and signal loss as well as an adaptive advantage at critical water levels. The Mamdani fuzzy logic algorithm classifies warning statuses (AMAN, WASPADA, BAHAYA) based on water level and its rate of change. The system successfully detects real-time water level changes and displays status information through a web dashboard. This demonstrates the reliability of the optical extensometer sensor as an alternative to conventional sensors, offering advantages in corrosion resistance and immunity to electromagnetic interference for early flood warning system applications.

Item Type: Thesis (Sarjana)
Additional Information: 1). Ir. Heri Firmansyah, S.T., M.T. ; 2). Rafiuddin Syam, S.T., M.Eng., Ph.D.
Subjects: Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions: FT > D IV Teknologi Rekayasa Otomasi
Depositing User: Yudistira Saputra .
Date Deposited: 08 Aug 2025 06:40
Last Modified: 08 Aug 2025 06:40
URI: http://repository.unj.ac.id/id/eprint/58771

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