PENERAPAN SISTEM IOT UNTUK MENDETEKSI BANJIR DI DAERAH DESA SENNAH

BAMBANG ARDIANSYAH, NPM 2208103137 (2025) PENERAPAN SISTEM IOT UNTUK MENDETEKSI BANJIR DI DAERAH DESA SENNAH. Skripsi thesis, Universitas Labuhanbatu.

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Abstract

Banjir merupakan salah satu bencana yang kerap terjadi akibat curah hujan tinggi, buruknya sistem drainase, serta aktivitas manusia seperti pembuangan sampah ke sungai, yang menyebabkan kerugian materi maupun korban jiwa. Penelitian ini bertujuan merancang dan mengimplementasikan sistem pendeteksi banjir berbasis Internet of Things (IoT) yang mampu memberikan peringatan dini secara real-time untuk meningkatkan kesiapsiagaan masyarakat. IoT memungkinkan perangkat saling terhubung melalui jaringan internet untuk memantau kondisi lingkungan secara langsung, dan pada penelitian ini digunakan mikrokontroler ESP32 yang diintegrasikan dengan sensor ketinggian air HC-SR04 dan sensor hujan FC-37. Metode penelitian menggunakan model R&D ADDIE dengan tahapan Analysis, Design, Development, Implementation, dan Evaluation. Hasil penelitian menunjukkan bahwa sistem mampu merespons perubahan ketinggian air kurang dari dua detik, menyalakan LED indikator sesuai level bahaya, dan mengirimkan notifikasi ke aplikasi Blynk secara cepat. Keandalan sistem ditunjukkan oleh tingkat konektivitas mencapai 98% serta kemampuan memberikan peringatan lokal melalui buzzer dan LED meskipun koneksi internet terganggu. Dengan demikian, sistem ini dinyatakan efektif sebagai solusi peringatan dini banjir dan berpotensi untuk diterapkan secara lebih luas di wilayah rawan banjir. Kata Kunci: Internet of Things, Pendeteksi Banjir, ESP32, Sensor Ultrasonik, Peringatan Dini ============================================================================================= Flooding is a disaster that often occurs due to heavy rainfall, poor drainage systems, and human activities such as dumping waste into rivers, which causes material losses and casualties. This study aims to design and implement an Internet of Things (IoT)-based flood detection system capable of providing real-time early warnings to improve community preparedness. IoT allows devices to be connected via the internet to monitor environmental conditions directly, and in this study, an ESP32 microcontroller was used integrated with an HC-SR04 water level sensor and an FC-37 rain sensor. The research method used the ADDIE R&D model with the stages of Analysis, Design, Development, Implementation, and Evaluation. The results showed that the system was able to respond to changes in water levels in less than two seconds, turning on the indicator LED according to the danger level, and sending notifications to the Blynk application quickly. The system's reliability was demonstrated by a connectivity level of 98% and the ability to provide local warnings via buzzer and LED even if the internet connection was disrupted. Thus, this system was declared effective as a flood early warning solution and has the potential for wider application in flood-prone areas. Keywords: Internet of Things, Flood Detector, ESP32, Ultrasonic Sensor, Early Warning

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Internet of Things, Pendeteksi Banjir, ESP32, Sensor Ultrasonik, Peringatan Dini=============Internet of Things, Flood Detector, ESP32, Ultrasonic Sensor, Early Warning
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions:	Fakultas Sains Dan Teknologi > Teknologi Informasi
Depositing User:	Unnamed user with email repository@ulb.ac.id
Date Deposited:	28 Oct 2025 07:05
Last Modified:	28 Oct 2025 07:05
URI:	http://repository.ulb.ac.id/id/eprint/1868

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