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All Journal Jurnal of Applied Multimedia and Networking Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Jurnal Visionary : Penelitian Dan Pengembangan Di Bidang Administrasi Pendidikan Plusminus: Jurnal Pendidikan Matematika Connection : Jurnal Pengabdian Kepada Masyarakat Jurnal Akutansi Manajemen Ekonomi Kewirausahaan (JAMEK) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat International Journal of Informatics, Economics, Management and Science Research Trend in Technology and Management Islamic Education Jurnal Online Baradha Indonesian Journal of Multidisciplinary on Social and Technology Socius: Social Sciences Research Journal JURNAL ILMIAH EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI Jurnal JEJAMA Manajemen Malahayati
Putri Novita Sari
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Journal : Jurnal of Applied Multimedia and Networking

 1 
Early Warning System Berbasis Internet Of Things (IOT) pada Daerah Rawan Bencana Banjir di Kota Semarang Sari, Putri Novita; Christanto, Febrian Wahyu
JOURNAL OF APPLIED MULTIMEDIA AND NETWORKING Vol 7 No 2 (2023): Journal of Applied Multimedia and Networking
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jamn.v7i2.6503

Abstract

Semarang is a city that often experiences flooding. One of the causes of frequent flooding in Semarang City is land subsidence. The rise in sea water in Semarang is currently reaching 3-5 millimeters per year while land subsidence is reaching 9 cm. Land subsidence in the city is 30 times greater than global sea level rise. This land subsidence causes the city of Semarang to often be hit by floods during high rainfall because the land position on the coast is lower than sea level water. Efforts to anticipate floods include creating an early flood detection system. This flood height detector aims to describe the status of the water level when the water level has reached the maximum level. This flood detection system uses a water level sensor to detect water levels, a NodeMCU ESP8266 to read data and send it via the internet, as well as a buzzer which functions to make a sound when the sensor detects water and has the potential for a flood disaster. The system will work automatically when water hits the sensor by sending flood detection status information via the Blynk application on a smartphone. This technology aims to provide early notification of a flood for public safety. It was found that the average value of user satisfaction reached 75% when testing the prototype results from this study and the accuracy value of prototype testing reached 100%.
Co-Authors Abda Abda Afrianty, Yussy Aini, Kuratul Alaniah, Nani Anshorulloh, Uday Ardiyanti, Neta Arifudin arifudin Azwilda, Nafila Ainul Belani, Maritsa Budi, Rahmat Dinni Haerul Choirun Niswah, Choirun Dadang Wiratama Deti Nurdianah Diah Ayu Novitasari Dinda Sherly Allamanda Eni Widiastuti Erna Listyaningsih ERNI WIDAJANTI Febrian Wahyu Christanto Fitri Amalia Fitriatien, Sri Rahmawati Harianto, Yudi Haryanti, intisarih Hidayah, Syifa Aulia Ibrahim Ibrahim Ika Indra Aryani Kristian, Budi Larasati, Gumelar Dewi Lili Apriyani Lydia Lia Prayitno, Lydia Lia Moh. Heru Budi Santoso Moh. Muklis Sulaeman Moh. Sholeh Asnawi Nofiyanti, Maya Nurwijayanti Oktara, Tri Windi Putri, Dahnia Azaria Diva Rahayu Winarti Rahmawati, Fadilah Ludia Reza Agustin Riska Dwi Anggarini Rizky Amelia Romadhani, Zakaria Rosi, Bahrur Rumawi Rumawi Sholichah, Chasilatus Siti A’isyah Siti Nur Indri Munawarah Soewita, Samuel Suhendar Suhendar, Suhendar Sukhma, Dyra Mayang Sulviana, Hanifah Suprihatin Susanto Susanto Tafiyatul Wulandari Wiwit Sundari Wuryanti, Lestari Yeni Sulastri Yuni Pratiwi Zubair, Tsaniatul Jinan