Application of a Web-Based Landslide Mitigation Information System (Sensor-Ku) in Kalongan Village Semarang, Central Java
Zahra Yulia Putri
The Student Organizing Capacity Building Program, Environmental Health Student Association, Universitas Dian Nuswantoro, Indonesia.
Salsa Bella Anjani
The Student Organizing Capacity Building Program, Environmental Health Student Association, Universitas Dian Nuswantoro, Indonesia.
Alika Pevi
The Student Organizing Capacity Building Program, Environmental Health Student Association, Universitas Dian Nuswantoro, Indonesia.
Dilean Zeva
The Student Organizing Capacity Building Program, Environmental Health Student Association, Universitas Dian Nuswantoro, Indonesia.
Sri Hapsari Wahyuningtyas
The Student Organizing Capacity Building Program, Environmental Health Student Association, Universitas Dian Nuswantoro, Indonesia.
Aprelia Dwi Hapsari
The Student Organizing Capacity Building Program, Environmental Health Student Association, Universitas Dian Nuswantoro, Indonesia.
Ika Pantiawati
Medical Records and Health Information, Universitas Dian Nuswantoro, Indonesia.
Hugi Cherlyawati
Environmental Health Department, Universitas Dian Nuswantoro, Indonesia.
Slamet Isworo *
Environmental Health Department, Universitas Dian Nuswantoro, Indonesia.
*Author to whom correspondence should be addressed.
Abstract
Background and Objectives: Kalongan is one of the villages in Ungaran District with a potential landslide risk of 2% of its territory. Landslides occur along roadways and in residential areas, endangering the environment and damaging the infrastructure. A web-based early warning system application is the Landslide Early Warning System (Sensor-Ku) which is applied at the research location. This study intends to detect and provide real-time information on the likelihood of landslides, specifically to the people of Kalongan Village.
Methods: This research creates a web-based monitoring and early warning system, as well as its implementation on an experimental microservice architecture, to provide landslide risk mitigation information to Kalongan residents.
Results: According to the research, the landslide early warning system (LEWS) provides a solution by integrating many modules, such as recording dynamic variability, handling multi-scale data sets, extracting important trigger information about the onset of potential landslides, and broadcasting multi-level data. warning. This research also combines a real-time landslide early warning system.
Conclusion: The Landslide Early Warning System (LEWS) Program is effective in reducing the risk of landslides. Some of the issues found when running the program include the costs of maintaining the landslide early warning equipment, which must be managed by the Kalongan village community.
Keywords: Disaster mitigation, landslide early warning system (LEWS), potential risk, Kalongan Village
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References
Firdaus HS, Nugraha AL. Analysis of Environmental Vulnerability in The Landslide Areas (Case Study: Semarang Regency). In: IOP Conference Series: Earth and Environmental Science. IOP Publishing. 2017;12013.
Handayani I, Rachmi GAK, Sulistiyono A, Leonard T, Gunardi A, Najicha FU. Environmental management strategy in mining activities in forest area accordance with the based justice in Indonesia. J Leg Ethical Regul Isses. 2018;21:1.
Dorasamy M, Raman M, Kaliannan M. Integrated community emergency management and awareness system: A knowledge management system for disaster support. Technol Forecast Soc Change. 2017;121:139–67.
Krisandika K, Sutrisno AJ. Analysis of land use factor on landslide using modified frequency ratio. Proceeding Sustain Agric Technol Innov. 2023;2(1):53–65.
Glade T, Crozier MJ. The nature of landslide hazard impact. Landslide Hazard Risk. 2005;41–74.
Djalante R, Garschagen M. A review of disaster trend and disaster risk governance in Indonesia: 1900–2015. Disaster Risk Reduct Indones Progress, Challenges, Issues. 2017;21–56.
Joshi A, Grover J, Prasanna Kanungo D, Kumar Panigrahi R. Real-time landslide monitoring, detection and early warning system for tangni landslide. In: Proceedings of the 5th International Conference on Cyber Security & Privacy in Communication Networks (ICCS); 2019.
Boucher C. Approaches to model non-uniqueness and site complexity for non-invasive shear-wave depth profiling. The University of Western Ontario (Canada); 2022.
Gumiran BA, Daag A. Negotiated participatory action research for multi-stakeholder implementation of early warning systems for landslides. Int J Disaster Risk Reduct. 2021;58:102184.
Sarabia MM, Kägi A, Davison AC, Banwell N, Montes C, Aebischer C, et al. The challenges of impact evaluation: Attempting to measure the effectiveness of community-based disaster risk management. Int J disaster risk Reduct. 2020;49:101732.
Irham MN, Yulianto T, Yuliyanto G, Widada S. Estimation of landslide prone zones around the Semarang Fault based on by combining the slope stability analysis and HVSR microtremor methods. In: Journal of Physics: Conference Series. IOP Publishing. 2021;12032.
Kusuma MBC, Aji A, Sanjoto TB. Model Penyajian Unit Geomorfologi Gunung Ungaran dan Sekitarnya Menggunakan Sistem Informasi Geografis Berbasis Web. Geo-Image. 2019;8(2):80–9.
Rasigraf O, Wagner D. Landslides: An emerging model for ecosystem and soil chronosequence research. Earth-Science Rev. 2022;231:104064.
Mizrahi Y. Capacity enhancement indicators. Rev Lit. 2004;
Yudhawasthi CM, Christiani L. Challenges of higher educational documentary institutions in supporting Merdeka Belajar Kampus Merdeka Program. Khazanah al Hikmah J Ilmu Perpust Dan Kearsipan. 2021;9(2):193–209.
Akhmaddhian S, Tendiyanto T, Nursyamsu R, Abdilah AF, Gustianitami AS. Regional government authority in the implementation of natural disaster management. UNIFIKASI J Ilmu Huk. 2022;9(1):12–8.
Solechan S. Government efforts in disaster emergency capacity. Adm Law Gov J. 2021;4(1):126–43.
Kinanti A, Awaluddin M, Yusuf MA. Analisis Pemetaan Risiko Bencana Tanah Longsor Berbasis Sistem Informasi Geografis (Studi Kasus: Kecamatan Candisari, Kota Semarang). J Geod UNDIP. 2023;11(3):121–30.
Putri R. The application of administrative sanctions in the environmental sector is a form of responsibility of the Semarang city government in protecting the environment. Soegijapranata Catholic University Semarang; 2021.
Rawat A, Vasistha HB, Soni P. Ecological approach to landslide risk remediation. Ecosyst Approach to Disaster Risk Reduct. 2012;1:95–101.
Poespitohadi W, Zauhar S, Haryono Bs, Amin F. Institutional strengthening and capacity building: A case study in Indonesia. J Asian Financ Econ Bus. 2021;8(3):629–35.
Cutter SL, Burton CG, Emrich CT. Disaster resilience indicators for benchmarking baseline conditions. J Homel Secur Emerg Manag. 2010;7(1).
Martin JGC, Khadka P, Linnerooth-Bayer J, Velev S, Russell C, Parajuli BP, et al. Living with landslides: Perceptions of risk and resilience in far West Nepal. IDRiM J. 2021;11(2).
Highland LM, Bobrowsky P. The landslide handbook-A guide to understanding landslides. US Geological Survey; 2008.
Davis MS, Gandía Á. community mitigation actions before landslides occur. Emphasis on awareness and response to landslide mitigation warnings and instructions is critical in efforts to minimize the risk and impact of this disaster on communities. J Emerg Manag. 2021; 19(8).
Guzzetti F, Gariano SL, Peruccacci S, Brunetti MT, Marchesini I, Rossi M, et al. Geographical landslide early warning systems. Earth-Science Rev. 2020;200: 102973.
Dariagan JD, Atando RB, Asis JLB. Disaster preparedness of local governments in Panay Island, Philippines. Nat Hazards. 2021;105(2):1923–44.
Jia C, Zhang C, Li Y-F, Li Q-L. Joint pre-and post-disaster planning to enhance the resilience of critical infrastructures. Reliab Eng Syst Saf. 2023;231:109023.