Flood Early Warning System with Notification Using Telegram Bot Based on IoT System
Flooding is one of the disasters that often occurs in Indonesia, especially in areas with high rainfall, such as Malang City. To improve the effectiveness of early warning, this research develops an Early Warning System (EWS) information dissemination system based on the Internet of Things (IoT). Th...
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| Format: | Article |
| Language: | Indonesian |
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LP3M Universitas Nurul Jadid
2025-04-01
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| Series: | Journal of Electrical Engineering and Computer |
| Subjects: | |
| Online Access: | https://ejournal.unuja.ac.id/index.php/jeecom/article/view/10850 |
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| _version_ | 1850153498598965248 |
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| author | Aditya Djulqodri Rakhman I Komang Somawirata Michael Ardita |
| author_facet | Aditya Djulqodri Rakhman I Komang Somawirata Michael Ardita |
| author_sort | Aditya Djulqodri Rakhman |
| collection | DOAJ |
| description | Flooding is one of the disasters that often occurs in Indonesia, especially in areas with high rainfall, such as Malang City. To improve the effectiveness of early warning, this research develops an Early Warning System (EWS) information dissemination system based on the Internet of Things (IoT). This system combines Variable Message Sign (VMS) as a visual display media and a Telegram bot to provide real-time notifications to the public. NodeMCU ESP8266 is the main microcontroller connected to a WiFi network to access data on the server. Tests were conducted to assess the accuracy of VMS synchronization, the speed of notification response, and the effectiveness of the buzzer in providing warnings. The test results show that synchronizing two VMS with different internet networks has an average time difference of 1.16 seconds, while with the same network, it is only 0.03 seconds. In addition, the VMS and Telegram bot can deliver information quickly and accurately, while the buzzer functions according to the set warning level. With this system, the dissemination of flood early warning information becomes more effective and easily accessible to the public, especially those in vulnerable areas or on the move. |
| format | Article |
| id | doaj-art-8eb3d1009b824911869a55c7fe23e9ef |
| institution | OA Journals |
| issn | 2715-0410 2715-6427 |
| language | Indonesian |
| publishDate | 2025-04-01 |
| publisher | LP3M Universitas Nurul Jadid |
| record_format | Article |
| series | Journal of Electrical Engineering and Computer |
| spelling | doaj-art-8eb3d1009b824911869a55c7fe23e9ef2025-08-20T02:25:41ZindLP3M Universitas Nurul JadidJournal of Electrical Engineering and Computer2715-04102715-64272025-04-017120621610.33650/jeecom.v7i1.108503918Flood Early Warning System with Notification Using Telegram Bot Based on IoT SystemAditya Djulqodri Rakhman0I Komang Somawirata1Michael Ardita2National Institute of Technology MalangNational Institute of Technology MalangNational Institute of Technology MalangFlooding is one of the disasters that often occurs in Indonesia, especially in areas with high rainfall, such as Malang City. To improve the effectiveness of early warning, this research develops an Early Warning System (EWS) information dissemination system based on the Internet of Things (IoT). This system combines Variable Message Sign (VMS) as a visual display media and a Telegram bot to provide real-time notifications to the public. NodeMCU ESP8266 is the main microcontroller connected to a WiFi network to access data on the server. Tests were conducted to assess the accuracy of VMS synchronization, the speed of notification response, and the effectiveness of the buzzer in providing warnings. The test results show that synchronizing two VMS with different internet networks has an average time difference of 1.16 seconds, while with the same network, it is only 0.03 seconds. In addition, the VMS and Telegram bot can deliver information quickly and accurately, while the buzzer functions according to the set warning level. With this system, the dissemination of flood early warning information becomes more effective and easily accessible to the public, especially those in vulnerable areas or on the move.https://ejournal.unuja.ac.id/index.php/jeecom/article/view/10850early warning systemvariable message signinternet of thingstelegram bot nodemcu esp8266 |
| spellingShingle | Aditya Djulqodri Rakhman I Komang Somawirata Michael Ardita Flood Early Warning System with Notification Using Telegram Bot Based on IoT System Journal of Electrical Engineering and Computer early warning system variable message sign internet of things telegram bot node mcu esp8266 |
| title | Flood Early Warning System with Notification Using Telegram Bot Based on IoT System |
| title_full | Flood Early Warning System with Notification Using Telegram Bot Based on IoT System |
| title_fullStr | Flood Early Warning System with Notification Using Telegram Bot Based on IoT System |
| title_full_unstemmed | Flood Early Warning System with Notification Using Telegram Bot Based on IoT System |
| title_short | Flood Early Warning System with Notification Using Telegram Bot Based on IoT System |
| title_sort | flood early warning system with notification using telegram bot based on iot system |
| topic | early warning system variable message sign internet of things telegram bot node mcu esp8266 |
| url | https://ejournal.unuja.ac.id/index.php/jeecom/article/view/10850 |
| work_keys_str_mv | AT adityadjulqodrirakhman floodearlywarningsystemwithnotificationusingtelegrambotbasedoniotsystem AT ikomangsomawirata floodearlywarningsystemwithnotificationusingtelegrambotbasedoniotsystem AT michaelardita floodearlywarningsystemwithnotificationusingtelegrambotbasedoniotsystem |