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All Journal TESLA Jurnal Teknik Elektro UNTAR Jurnal Teknologi Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika International Journal of Artificial Intelligence Research Health Notions Syntax Literate: Jurnal Ilmiah Indonesia Jurnal SOLMA Jurnal Ilmiah Matrik BAREKENG: Jurnal Ilmu Matematika dan Terapan IKRA-ITH Teknologi Jurnal Sains dan Teknologi Compiler TESLA: Jurnal Teknik Elektro Logista: Jurnal Ilmiah Pengabdian Kepada Masyarakat Care : Jurnal Ilmiah Ilmu Kesehatan Jurnal Bahana Kesehatan Masyarakat (Bahana of Journal Public Health) Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Klabat Journal of Nursing Science Midwifery Indonesian Journal of Global Health research Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences TEPIAN Edulab : Majalah Ilmiah Laboratorium Pendidikan Jurnal Mandala Pengabdian Masyarakat Buletin Poltanesa MAHESA : Malahayati Health Student Journal Jurnal Teknik Industri Kolaborasi Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Bhinneka Jurnal Abdi Kesehatan dan Kedokteran Eduvest - Journal of Universal Studies Journal for Quality in Public Health Jurnal Teknologi Industri Health Dynamics Jurnal Sains, Teknologi dan Kesehatan Jurnal Medika: Medika Jurnal Bakti Dirgantara Malahayati International Journal of Nursing and Health Science Journal of Global Research in Public Health Journal for Research in Public Health Jurnal Pengabdian Masyarakat Inovasi Indonesia
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Journal : TEPIAN

IoT Prototype System of Flood Detection at Housing Pondok Gede Fadhlam Bihamdi; Nurwijayanti KN
TEPIAN Vol 3 No 2 (2022): June 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.486 KB) | DOI: 10.51967/tepian.v3i2.1005

Abstract

Indonesia is a country with a tropical climate. Entering the rainy season, a number of areas along the river have the potential to be affected by flooding, especially the Pondok Gede Permai residential area. Flooding is a big problem for the affected community, it makes the surrounding community panic, because the flood comes suddenly without knowing the time, seeing conditions like this then a tool is made to give an early warning of the arrival of flooding from the river, so that the community around the Pondok housing complex is made. the big game is more alert to flooding. In the Industrial 4.0 era, the Internet of things has developed rapidly, so flood early warning tools take advantage of IoT technology. The purpose of this study is to provide a programmatic framework for flood early warning. The tool framework that will be created is in the form of an IoT-based programmatic flood location model. By utilizing the NodeMCU ESP8266 as a control, transistors as sensors to identify water levels, Flow meter sensors as water release seekers, LEDs and LCDs as pointers, Buzzer as the highest level warning and the Blynk Application to observe river water levels via Android phones so that the people of Pondok Gede Permai especially those near the riverbanks are already alert. The prototype design of this Automatic Flood Detection System produces information that is sent by the NodeMCU ESP8266 to the Blynk Application as an information receiver. an error rate of 7.85 percent with a time span of 4 minutes 3 seconds when the water reaches its highest level and has notifications set within the Blynk App.
IoT Prototype System of Flood Detection at Housing Pondok Gede Fadhlam Bihamdi; Nurwijayanti KN
TEPIAN Vol. 3 No. 2 (2022): June 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v3i2.1005

Abstract

Indonesia is a country with a tropical climate. Entering the rainy season, a number of areas along the river have the potential to be affected by flooding, especially the Pondok Gede Permai residential area. Flooding is a big problem for the affected community, it makes the surrounding community panic, because the flood comes suddenly without knowing the time, seeing conditions like this then a tool is made to give an early warning of the arrival of flooding from the river, so that the community around the Pondok housing complex is made. the big game is more alert to flooding. In the Industrial 4.0 era, the Internet of things has developed rapidly, so flood early warning tools take advantage of IoT technology. The purpose of this study is to provide a programmatic framework for flood early warning. The tool framework that will be created is in the form of an IoT-based programmatic flood location model. By utilizing the NodeMCU ESP8266 as a control, transistors as sensors to identify water levels, Flow meter sensors as water release seekers, LEDs and LCDs as pointers, Buzzer as the highest level warning and the Blynk Application to observe river water levels via Android phones so that the people of Pondok Gede Permai especially those near the riverbanks are already alert. The prototype design of this Automatic Flood Detection System produces information that is sent by the NodeMCU ESP8266 to the Blynk Application as an information receiver. an error rate of 7.85 percent with a time span of 4 minutes 3 seconds when the water reaches its highest level and has notifications set within the Blynk App.
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Basyir Adenia Kahfianti Agus Sugiharto Agusta Dian Ellina Agustin, Evi Avicenna Ajis Dwi Pangestu Anggi Triyanto Anggoro Eko Setyanto Anggraeni, Novita Anna Anjarwangi, Martha Anwar, Muhammad Choirul Anwar, Muhammad Choirul Arfah, Andi Muh Arie Rahmadi Arif Fadhillah Fajri Arof, Hamzah Astika AyuningTyas, Astika Aulia Rahman Badru Salam BASUKI ARIANTO Bekti Yulianti Billy Anoraga, Aditya Bima Zakaria Binsar Pangaribuan Budiman Wibowo Byba Melda Suhita Cecep Bunyamin Christa Usteng Hakim Christa Usteng Hakim DARMAWAN YULIANTO Dian, Agusta Duri, Vinca Rosa Swastika Dwi Haryanto Edwin Edwin Ekawati Wasis Wijayati Emy Ismiaty, Emy Erdiani, Nila Erdin Suntoro ERWIN WIJAYANTO Fadhlam Bihamdi Ferdinand Ferdinand Fitriah Fitriah Ganjar Eko Santoso Gempi Tri Sumini Hadian Satria Utama Hadian Satria Utama HANDOKO, YUDO DWI Hang Suharto HARI MOEKTIWIBOWO Harpika, Isa Harseto Krismandika Hartono Haryadi Hugeng Hugeng Ichwan Satia Indasah Indra Surjati INDRA SURJATI Indra Suryati INDRAMAWAN INDRAMAWAN Irwan Syahputra, Irwan Iwan Adhicandra Joko Prasetyo Junaidi, Anang Justanti, Chusnul Khaja, Khadija Koesnadi, Koesnadi Latif Kamaludin M. A. Bintoro Dibyoseputro M. Ilham Nurhadi Winata Mahendra Tidar Mario Mario Martins, Noelio Auxilio Pedro Michael Riawan Munnik Haryati Nikolas Tjandra Nurdiana, Ira Nusantarie, Krit Mahayuning Panca Radono Parinding, Yunus Priawan, Hendra Radiktyasari, Asty Rahmania Ambarika Ratna Wardani Retnaningsih, Widiani Reza Ananda Risnawati Risnawati Romli Arief, Mochammad Samad, Andi Muh. Arfah Saputra Sandu Siyoto, Sandu Sari, Onica Sinulungga, Rizky Amalia Siswati, Heni Siti Farida Subiyantoro Sucahyo, Nur Sudewa, I Gusti Ngurah Wisnu Sukmawati, Ellyzabeth Sumpena, Sumpena Sungkono Sunyoto Sunyoto Syafdi, Rizky Tandung, Maria Rante Tobel, Feby Lisanty Utami, Rahayu Budi W.TEDJA BHIRAWA Wahyuni, Nurlely Tri Wahyuni, Retno Dwi WT Bhirawa Wuryani, Denik Yanwar Alamdo Yenny Puspitasari Yogi Setiawan Yudianto, Firman Yuli Peristiowati, Yuli Yuly Peristiowati Zaki Rokhandi Zulkipli Lessy Zulkipli Zulkipli