ALAT DETEKSI BANJIR BERBASIS INTERNET OF THINGS DENGAN PENCATATAN REALTIME PADA SPREADSHEET
- DINDA ANANDA HARTONO PUTRI
- 2024
Dinda Ananda Hartono Putri (13210082), Internet of Things-Based Flood
Detection Tool with Realtime Recording on Spreadsheet.
Indonesia experiences frequent flooding due to high rainfall and poor drainage
systems. This has a huge impact on economic losses, infrastructure, and lives.
Information and communication technology (ICT), especially the Internet of Things
(IoT), plays an important role in flood mitigation. The purpose of this research is to
develop an IoT-based flood detection tool capable of monitoring water levels in real-
time using the HC-SR04 sensor and the Blynk application. It sends data to a
spreadsheet that can be accessed by the government and rescue teams to make timely
decisions. The research method includes observation of existing flood detection
systems and literature study on IoT technology and real-time logging. The system was
designed to send automatic notifications about flood status to users' cell phones. The
results show that the use of NodeMCU ESP8266 and ultrasonic sensors are able to
detect water levels accurately and provide information quickly. This system improves
the efficiency of early warning, risk analysis, and response to flood disasters. The use
of IoT technology in this flood detection system is expected to improve community
preparedness and coordination of related parties in flood disaster management.
KEYWORDS: Internet of Things (IoT), Flood Detection, Realtime Logging
https://repository.bsi.ac.id/repo/57087/ALAT-DETEKSI-BANJIR-BERBASIS-INTERNET-OF-THINGS-DENGAN-PENCATATAN-REALTIME-PADA-SPREADSHEET
Anda dapat membaca file tugas akhir ini di repository.
Detail Informasi
Tugas Akhir ini ditulis oleh :
- 13210082 - DINDA ANANDA HARTONO PUTRI
- Prodi : Teknologi Komputer
- Kampus : Tegal
- Tahun : 2024
- Pembimbing : Andrian Eko Widodo, S.Kom
- Kode : 0041.D3.13.TA.I.2024
- Status Akses : Open Access
- Diinput oleh : AXD
- Terakhir update : 28 Oktober 2024
- Dilihat : 82 kali