MABAR AND SIKESYA: IOT TECHNOLOGY INNOVATIONS FOR ENHANCING FLOOD PREPAREDNESS IN YEHEMBANG KANGIN VILLAGE

Rizkita Ayu Mutiarani; Ni Made Dwi Puspitawati; I GD Yudha Partama; I Dewa Ayu Agung Tantri Pramawati; I Gede Iwan Sudipa; I Dewa Gede Agung Pandawana

Authors

Rizkita Ayu Mutiarani Institut Bisnis dan Teknologi Indonesia
Ni Made Dwi Puspitawati Universitas Mahasaraswati Denpasar
I GD Yudha Partama Universitas Mahasaraswati Denpasar
I Dewa Ayu Agung Tantri Pramawati Institut Bisnis dan Teknologi Indonesia
I Gede Iwan Sudipa Institut Bisnis dan Teknologi Indonesia
I Dewa Gede Agung Pandawana Universitas Mahasaraswati Denpasar

Keywords:

MABAR, SIKESYA, IoT, Disaster Mitigation

Abstract

This article explores the implementation of MABAR (Modul Anti Blabar/Banjir) and SIKESYA (Sistem Informasi Kebencanaan Desa Yehembang Kangin), aimed at enhancing flood preparedness in a disaster-prone rural area. The MABAR system, utilizing solar-powered sensors for real-time flood detection, demonstrated high accuracy and reliability even during adverse weather conditions. SIKESYA, a mobile application, integrates real-time weather data and participatory mapping to provide essential disaster information, including hazard maps and evacuation guidance. The active involvement of the local community in system development and training sessions improved their awareness and readiness, significantly enhancing their response capabilities during emergencies. Furthermore, the integration of these technologies had a positive impact on the local tourism sector by increasing visitor safety and boosting economic growth. The success of this integrated model offers a practical and scalable solution for disaster risk reduction in similar rural areas, providing valuable insights for future research and application in flood mitigation strategies.

References

Akbar, A. F., Cahyadi, W., & Muldayani, W. (2023). Prototype Sistem Peringatan Dini Berbasis Iot (Internet Of Things) untuk Mitigasi Bencana Tsunami di Pantai Pancer, Puger. Jurnal Arus Elektro Indonesia, 9(1), 11–16. https://doi.org/10.19184/jaei.v9i1.30044

Ardhana, V. Y. P. (2022). Sistem informasi kebencanaan berbasis android menggunakan metode extreme programming. Jambura Journal of Informatics, 4(2), 61–69. https://doi.org/10.37905/jji.v4i2.16057

Badan Nasional Penanggulangan Bencana. (2024). Data dan Informasi Kebencanaan Bulanan Teraktual. Info Bencana, 5(1), 1–19.

Denpost. (2022). Banjir Bandang Terjang Yehembang Kangin, Sejumlah Fasilitas Hancur. Https://Www.Denpost.Id/. https://www.denpost.id/jembrana/105511618135/banjir-bandang-terjang-yehembang-kangin-sejumlah-fasilitas-hancur

Desa Yehembang Kangin. (2024). Potensi Desa Yehembang Kangin. Http://Yehembangkangin.Desa.Id/Potensi. http://yehembangkangin.desa.id/potensi

Partama, I. G. D. Y., Pandawana, I. D. G. A., & Kumara, D. G. A. G. (2022). Pengabdian Desa Wisata Sigap dan Tanggap Bencana Melalui Aplikasi Early Warning Sistem dan Pemetaan Kebencanaan di Desa Baturiti Tabanan. Jurnal Pengabdian Kepada Masyarakat Nusantara, 3(1), 309–318.

Partama, I., Pandawana, I., & Kumara, D. G. A. G. (2024). E-tourism application development to support integrated and disaster-safe tourism villages in Kerambitan District, Tabanan. AIP Conference Proceedings, 2961(1).

Saputro, J., Saini, K., & Valentine, H. M. (2024). Data Visualization of Higher Education Participation Rates in Indonesia Provinces. Jurnal Galaksi, 1(2), 101–109. https://doi.org/https://doi.org/10.70103/galaksi.v1i2.20

Setiawan, I. P. E., Desnanjaya, I. G. M. N., Supartha, K. D. G., Ariana, A. A. G. B., & Putra, I. D. P. G. W. (2024). Implementation of Telegram Notification System for Motorbike Accidents Based on Internet Of Things. Jurnal Galaksi, 1(1), 1–11. https://doi.org/10.70103/galaksi.v1i1.1

Sudipa, I. G. I., Harto, B., Sahusilawane, W., Afriyadi, H., Lestari, S., & Handayani, D. (2023). Teknologi Informasi & SDGs. PT. Sonpedia Publishing Indonesia.

Sudipa, I. G. I., Sarasvananda, I. B. G., Prayitno, H., Putra, I. N. T. A., Darmawan, R., & WP, D. A. (2023). Teknik Visualisasi Data. PT. Sonpedia Publishing Indonesia.

Wibowo, G. W. N., & Kraugusteeliana, K. (2024). Exploratory Data Analysis: Visualization of Average Wages of Workers in Indonesia by Region of Residence using Google Data Studio. TECHNOVATE: Journal of Information Technology and Strategic Innovation Management, 1(3), 110–116. https://doi.org/https://doi.org/10.52432/technovate.1.3.2024.10-116