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All Journal Proceeding SENDI_U Biomedical Journal of Indonesia JURNAL ILMIAH MATEMATIKA DAN TERAPAN SRIWIJAYA JOURNAL OF MEDICINE Jurnal Kesehatan TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol YARSI Medical Journal Jurnal Ilmiah Rekayasa Sipil Journal of Computer Networks, Architecture and High Performance Computing Jurnal Health Sains Yayasan Cita Cendikiawan Al Khwarizmi Brilliance: Research of Artificial Intelligence AbdimasMu UMTAS: Journal of Community Service Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Economics, Business, Accounting & Society Review Leksikon: Jurnal Pendidikan Bahasa, Sastra, dan Budaya Sintaksis: Publikasi Para Ahli Bahasa dan Sastra Inggris International Journal of Wireless And Multimedia Communications SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi
Sri Nita, Sri
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RANCANG BANGUN DETEKSI BANJIR BERDASARKAN TINGKAT KETINGGIAN AIR DAN INTENSITAS HUJAN BERBASIS INTERNET OF THINGS (IOT) Amelia, Helsi; Dewi, Ratna; Nita, Sri
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 1 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Maret 202
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i1.127

Abstract

 Flooding is a natural disaster that frequently occurs in various regions of Indonesia. It cause material losses as well as casualties, and significantly impact the lives of affected communities. To reduce these risks and damages, an early detection system that can monitor environmental conditions in real-time is needed. This study aims to design and implement a flood detection system based on the Internet of Things (IoT) by utilizing the JSN-SR04T ultrasonic sensor to measure water levels and a rainfall sensor to detect rainfall intensity. The data collected from the sensors is transmitted via LoRa E220 communication, which is known for its long-range capability and low power consumption. The system consists of a transmitter node and a receiver node, where the received data is analyzed to determine flood potential. In addition, the system is integrated with the Telegram platform to automatically send notifications to Telegram users. The test results show that the system is capable of accurately monitoring water levels and rainfall, and can provide timely alerts. Therefore, this system offers an effective solution to increase awareness of potential flood hazards.
Co-Authors Afrizal Yuhanef Alfitri, Riska Amelia, Helsi Amelisqi, Lusi Bilqis Andriani Andriani Anggia Suci Pratiwi Aprinal Adila Asril AR, Djunaidi Budi Hendrawan Carolin, Bunga Tiara Dahlan, Andi Ahmad Dierayani, Allysa Putri Fitri Adona Fitriyani, Seni D Hayati, Lusiya Hayati, Lusiya Herry Setiawan Julia, Dina Julia, Dina Kurnianto, Andra Louis, Stephanie Lexy Madani, Fathi Makia Mafrudoh, Luth Muhammad Irsan Saleh Mujiarto, Mujiarto Nasrul Nasrul Nawi, Nasrul Neni Nuraeni, Neni Noer, M Nur Elfaz, Zam Zam Nurjaman, Diman Nurohmah Dona, Tiara Gita Oktavia, Aulia Otong Setiawan Djauhari Paramitha, Ratih Popy Maria Pratama, Muhamad Risky Pratiwi, Denisa Lestari Putra, Roni Tri Putri, Rahmadani R, Ihsan Lumasa RACHMAT HIDAYAT Rahman, Ahadi Aulia Rahman, Ahadi Aulia Ramiati Ramiati Rasasta, Meida Ratna Dewi Rekha hamdila, Fannia Rikki Vitria Risma, Neng Robiatul Adawiyah Sajidah, Febi Zulfa Salni Saparudin, Miftahul Rizki Saputra, Jumadil Sari, Putri Gemala Setawan, Arum Shofiatun Nisa, Wafa Silfia Rifka Siti Aisyah Subandrate Sukatik Sukatik Sunanih Tursia, Anita Ummul Khair veronica, Vera Vinnata, Nora Novia Yani, Herman Yusnani Yusnani