Pengembangan Sistem Peringatan Dini Cuaca Ekstrem Terintegrasi Berbasis Y-Model Webgis Development Methodology (Y-WDM)
Abstract
The incidence of hydrometeorological disasters in Indonesia is in the largest percentage for the last 10 years. The development of an integrated extreme weather early warning system is one of the initial processes in a series of hydrometeorological disaster mitigation efforts. Data models, observation and remote sensing become the database in early warning of extreme weather, the officers who carry out early detection of hazards so that they have sufficient waiting time to prepare an effective emergency response plan. In this study, an early warning system was built by implementing the Y-Model WebGIS Development Methodology (YWDM) which is a combination of geographic information systems and web-based application development context. Spatial data processing is carried out using the python programming language, including radar and weather satellite data, surface observation, lightning detection, storm detection and identification, and nowcasting models. Web GIS visualization is built by using JavaScript and php programming language, database management managed using PostgreSQL. The results of the implementation are in the form of a SPACE (Spatial Based Extreme Weather Warning System) framework which Sidarma-Nowcast is a system within the framework. The development of this system shows an increase and the level of improvement in the process of producing and disseminating early warning information.
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References
Ali, A., Adrianto, R. and Saepudin, M. (2019). Preliminary Study Of Horizontal And Vertical Wind Profile Of Quasi-Linear Convective Utilizing Weather Radar Over Western Java Region, Indonesia. International Journal of Remote Sensing and Earth Sciences (IJReSES), 15(2), pp.177-186.
Ali, A., Deranadyan, G. and Umam, I.H. (2020). An Enhancement To The Quantitative Precipitation Estimation Using Radar-Gauge MERGING. International Journal of Remote Sensing and Earth Sciences (IJReSES), 17(1), pp.65-74.
Ali, A., Deranadyan, G., & Sa'adah, U. (2021). Kajian Awal Pemanfaatan Data Pengindraan Jauh Dalam Implementasi Peringatan Dini Cuaca Esktrem Berbasis Dampak. Prosiding WIN-ID 2021 Vol.1 pp.27-36.
Ali, A., Supriatna, S., & Sa'adah, U. (2021). Radar-Based Stochastic Precipitation Nowcasting Using The Short-Term Ensemble Prediction System (Steps)(Case Study: Pangkalan Bun Weather Radar). International Journal of Remote Sensing and Earth Sciences (IJReSES), 18(1), pp.91-102.
Ali, A., Umam, I. H., Leijnse, H., & Sa'adah, U. (2022). Preliminary Study Of A Radio Frequency Interference Filter For Non-Polarimetric C-Band Weather Radar In Indonesia (Case Study: Tangerang Weather Radar). International Journal of Remote Sensing and Earth Sciences (IJReSES), 18(2), 189-202.
Ananda, F., Kuria, D. N., & Ngigi, M. M. (2016). Towards a new methodology for web GIS development.
Avison, D. and Fitzgerald, G., (2003). Information systems development: methodologies, techniques and tools. McGraw-Hill.
Cavaco, R., Sequeira, R., Araújo, M. and Calejo, M. (2010). Rapid GIS Development: a model- based approach focused on interoperability. In 13th AGILE International Conference on Geographic Information Science (pp. 1-5).
Dewi, E.K. (2015). Optimalisasi Web GIS dengan Metode Tiling. SM102.. Seminar Nasional Tekonologi Informasi dan Komunikasi Terapan (SEMANTIK).
Dixon, M. and Wiener, G. (1993). TITAN: Thunderstorm identification, tracking, analysis, and nowcasting”A radar-based methodology. Journal of atmospheric and oceanic technology, 10(6), pp.785-797.
Escalona, M.J., Torres-Zenteno, A., Gutierrez, J., Martins, E., Torres, R.D.S. and Baranauskas, M.C.C. (2008). A Development Process for Web Geographic Information System. ICEIS 2008, pp.112-117.
Fauzi, C. (2020). Pengembangan Sistem Informasi Geografis Menggunakan YWDM Dalam Perencanaan Tata Ruang. J-SAKTI (Jurnal Sains Komputer dan Informatika), 4(2), pp.598-607.
Hariyanto, T. and Anindito, R. (2019). Optimalisasi Penyediaan Data Spasial Resolusi Tinggi Dengan Pembangunan Image Map Service (Studi Kasus: Pertambangan Daerah Sumatera). Geoid, 14(2), pp.61-68.
Hemachandra, K., Haigh, R. and Amaratunga, D. (2020), September. Enablers for Effective Multi-hazard Early Warning System: A Literature. In ICSECM 2019: Proceedings of the 10th International Conference on Structural Engineering and Construction Management (Vol. 94, p. 399). Springer Nature.
Husni, A. (2011). Rekayasa Dan Optimasi Sistem Informasi Geografis Berbasis Web Untuk Industri Dan Perdagangan Batik Di Kota Pekalongan (Doctoral dissertation, Universitas Gadjah Mada).
Kurniawan, T.A. (2018). Pemodelan Use Case (UML): Evaluasi Terhadap beberapa Kesalahan dalam Praktik. J. Teknol. Inf. dan Ilmu Komput, 5(1), p.77.
Li, S., Dragicevic, S. and Veenendaal, B. eds. (2011). Advances in web-based GIS, mapping services and applications-WebGIS performance issues and solutions. pp. 121-138. CRC Press.
Maskrey, A. (2016). Monitoring progress in disaster risk reduction in the Sendai framework for Action 2015–2030 and the 2030 sustainable development agenda.
Matsueda, M. and Nakazawa, T. (2015). Early warning products for severe weather events derived from operational medium"range ensemble forecasts. Meteorological applications, 22(2), pp.213-222.
Pulkkinen, S., Nerini, D., Pérez Hortal, A.A., Velasco-Forero, C., Seed, A., Germann, U. and Foresti, L. (2019). Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1. 0). Geoscientific Model Development, 12(10), pp.4185-4219.
Woo, W.C. and Wong, W.K. (2017). Operational application of optical flow techniques to radar-based rainfall nowcasting. Atmosphere, 8(3), p.48.