Pangestu, Raka Dwi (2021) RANCANG BANGUN ALAT PENGUKUR KETINGGIAN AIR UNTUK SIAGA BANJIR BERBASIS INTERNET OF THINGS ( IOT ). Sarjana (S1) thesis, Universitas Islam 45.
![]() |
Text
Pendahuluan.pdf Download (1MB) |
![]() |
Text
BAB I.pdf Restricted to Repository staff only Download (170kB) | Request a copy |
![]() |
Text
BAB II.pdf Restricted to Repository staff only Download (467kB) | Request a copy |
![]() |
Text
BAB III.pdf Restricted to Repository staff only Download (315kB) | Request a copy |
![]() |
Text
BAB IV.pdf Restricted to Repository staff only Download (729kB) | Request a copy |
![]() |
Text
BAB V.pdf Restricted to Repository staff only Download (162kB) | Request a copy |
![]() |
Text
DAFTAR PUSTAKA.pdf Download (151kB) |
Abstract
ABSTRACT Flood is a natural disaster that frequently occurs in various regions of Indonesia, causing significant impacts on community life. To reduce the risks and losses caused by floods, an accurate water level monitoring system that can provide early warnings is required. This study aims to design and develop a water level measuring device based on the Internet of Things (IoT) that is capable of monitoring conditions in real-time and transmitting data to an online monitoring platform. The system uses a JSN-SR04T ultrasonic sensor to measure the water surface level, with an ESP32 microcontroller as the main control unit, a buzzer as a local warning indicator, and an I2C LCD to directly display data to users. In addition, the ESP32-CAM module is integrated to capture real-time images of the monitored area. The water level data is sent to the ThingSpeak platform to allow remote access via the internet. The system also includes a keypad that enables users to manually set the desired water level thresholds. Test results show that the system achieves 100.00% accuracy at test limits of 15 cm and 20 cm, and 99.66% accuracy at the 30 cm limit when the distance from the sensor to the water surface is 20 cm. These results indicate that the system provides more accurate water level measurements compared to manual methods. With this capability, the developed device can function as an effective, affordable, and user-friendly flood monitoring and early warning system for flood-prone areas.
Item Type: | Thesis (TA, Skripsi, Tesis, Disertasi) (Sarjana (S1)) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Contributors/Dosen Pembimbing,NIDN Dosen bisa diakses di LINK https://bit.ly/NIDNdosenunismabekasi: |
|
|||||||||
Keywords / Kata Kunci: | Flood, Water Level, Internet of Things, ESP32, JSN-SR04T, ThingSpeak | |||||||||
Subjects: | Elektronik Pemrograman Telekomunikasi |
|||||||||
Faculty: | Fakultas Teknik > Teknik Elektro S1 | |||||||||
Depositing User: | Mr Raka Dwi Pangestu | |||||||||
Date Deposited: | 02 Jun 2025 04:31 | |||||||||
Last Modified: | 02 Jun 2025 04:31 | |||||||||
URI: | http://repository.unismabekasi.ac.id/id/eprint/7725 |
Actions (login required)
![]() |
View Item |