The IoT-Based Early Warning System for Detecting High Tide Floods (ROB-EWS) in Tambak Lorok, Semarang Indonesia
Marsha Alvina Damayanti
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Sri Hapsari Wahyuningtyas
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Dilean Zeva Balistyadhana
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Aprelia Dwi Hapsari
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Aleikhem El Shammah
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Nur Cholish Ahmad Yusa
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Fajar Purnomo Adi
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Muhammad Rifqi Wily Yanuar
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Fransiska Laudya Isabella
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Anisa Dwi Wulandari
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Alfia Miftachul Jannah
Department of Biomedical Engineering, Faculty of Engineering, Dian Nuswantoro University, Indonesia.
Meisa Isnaina Putri
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Jauza Alwan Surya Pratama
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Siti Nur’alifah
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Hugi Cherliyawati
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
Nugraheni Kusumawati
Department of Medical Records and Health Information Systems, Faculty of Health, Dian Nuswantoro University, Indonesia.
Maulana Tomy Abiyasa
Department of Medical Records and Health Information Systems, Faculty of Health, Dian Nuswantoro University, Indonesia.
Dwiferi Pebriyanto
Faculty of Computer Science, Dian Nuswantoro University, Indonesia.
Slamet Isworo *
Department of Environmental Health, Faculty of Health, Dian Nuswantoro University, Indonesia.
*Author to whom correspondence should be addressed.
Abstract
Background and Objectives: The Tambaklorok fishing village area, located on the northern coast of Semarang City, Indonesia, is susceptible to sea level fluctuations, which often lead to tidal flooding and seawater encroaching into residential areas. Consequently, a seawater flood detector (rob) is needed for effective disaster mitigation for affected communities. This study aims to implement a disaster mitigation system by installing an IoT-based Seawater Flood (Rob) Early Warning System to reduce disaster risks and their impacts on the community.
Methods: The IoT-based Early Warning System is designed to detect floods by monitoring sea level height parameters.
Results: IoT-based devices measure sea level using ultrasonic sensors, with the readings processed by a microprocessor. The data is then periodically analyzed and transmitted to an application in real-time. This technology allows for real-time information dissemination through web applications and alerts in the form of sirens. These warnings enable residents to evacuate and move to safer areas. The siren alerts are categorized into two levels: Alert 1 indicates that seawater is approaching the land boundary, while Alert 2 signals that water has begun to enter residential areas. Additionally, designated evacuation zones will guide affected communities to safer areas.
Conclusion: The installation of an IoT-based Early Warning System delivers real-time information to help mitigate the impact of rising sea levels (rob) in the Tambak Lorok fishing village community.
Keywords: Tambak lorok, detection, internet of things, mitigation, rob early warning system