PENGEMBANGAN SISTEM MONITORING BANJIR BERBASIS IOT UNTUK PROTEKSI LISTRIK RUMAH

KASYAFI, MUHAMMAD ALIF (2025) PENGEMBANGAN SISTEM MONITORING BANJIR BERBASIS IOT UNTUK PROTEKSI LISTRIK RUMAH. S1 thesis, Universitas PGRI Madiun.

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Abstract

Muhammad Alif Kasyafi. 2025. Thesis. IoT-based flood monitoring system for home electrical protection. Electrical Engineering Education Study Program, PGRI University Madiun. Advisor (I) Umi Kholifah, M.Pd. Advisor (II) Pramudiya Ardi, M.Pd. Flooding is one of the most common natural disasters in Indonesia, especially in areas with high rainfall. In addition to physical damage, flooding also poses hidden risks such as electrical short circuits due to submerged installations. This problem is exacerbated by the fact that power cuts still depend on manual action by residents, which is risky if done too late. This research aims to develop an Internet of Things (IoT)-based flood monitoring system that can detect water levels in real time, provide early warnings through alarms and visual indicators, automatically cut off electricity, and send notifications via WhatsApp to homeowners and relevant parties. This system was built using a NodeMCU ESP8266 microcontroller, HC-SR04 ultrasonic sensor, automatic relay, buzzer, and CallMeBot API service. The system development followed the ADDIE model, which includes the stages of analysis, design, development, implementation, and evaluation. Testing was conducted using a water tube simulation at four flood levels: normal, alert 1, alert 2, and danger. The test results showed that the system worked consistently in detecting water levels and responding automatically according to the parameters. Validation by three experts resulted in an average feasibility score of 86.67% (category “Feasible”), while a response test of five community respondents obtained a score of 91.24% (category “Highly Feasible”). These results indicate that the system can be an effective solution in minimizing the risk of electrical short circuits during floods, as well as supporting increased community preparedness for disasters.

Item Type:	Thesis/Skripsi/Tugas Akhir (S1)
Kata Kunci:	Keywords: Flood, IoT, Flood Monitoring, Electrical Protection, WhatsApp
Subjects:	T Technology > T Technology (General)
Divisions:	Fakultas Keguruan dan Ilmu Pendidikan > Pendidikan Teknik Elektro
Depositing User:	KASYAFI ALIF MUHAMMAD
Date Deposited:	29 Aug 2025 07:31
Last Modified:	29 Aug 2025 07:31
URI:	http://eprint.unipma.ac.id/id/eprint/4698

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