Utilization of AWS Data in Landslide Risk Analysis in Manado City Using a WebGIS Approach

Yves Vincent De Paul Muaya; Fernando Victor Dotulong; Ifon Kojo; Eliasta Ketaren

doi:10.30865/ijics.v9i3.9365

Authors

Yves Vincent De Paul Muaya Universitas Teknologi Sulawesi Utara
Fernando Victor Dotulong North Sulawesi University of Technology
Ifon Kojo North Sulawesi University of Technology
Eliasta Ketaren Information Systems, Sam Ratulangi University

DOI:

https://doi.org/10.30865/ijics.v9i3.9365

Keywords:

Automatic Weather Station (AWS), Landslide Risk Analysis, WebGIS; Manado City, Early Warning System

Abstract

The City of Manado has a complex topography and hug rainfall, making it highly susceptible to landslide. This vulnerability is further exacerbated by urban development that does not always take geological and spatial planning aspects into account. The availability of an early warning system based on spatial data is therefore crucial to reduce risks and potential losses. This study aims to utilize rainfall data from the Automatic Weather Station (AWS) as the main indicator in landslide risk analysis, supported by WebGIS technology to present information in a more interctive and accesible manner. The research method consists of three main stages: daily AWS data collection, spatial analysis using overlay techniques and weighting of environmental parameters (such as rainfall, temperature, wind, and soil moisture), and the development of a WebGIS-based system to visualize risk zones. The collected data were processed to determine rainfall thresholds that have the potential to trigger landslides and were then integrated with other geospatial factors to generate more accurate risk maps. The results indicate that the integration of AWS data with spatial analysis improves the accuracy of landslide-prone area mapping in Manado. Furthermore, the implementation of WebGIS facilitates the dissemination of information to the community and local government, thereby supporting mitigation efforts and data-driven decision-making.

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