Optimization of Spatial Visualization Module in SOLAP for Indonesian Agricultural Commodities

Abstract

Indonesia produces various agricultural commodities every year. To manage agricultural data, the Ministry of Agriculture of Indonesia provides a web-based application open to the public. The SOLAP for Indonesian Agricultural Commodities system has been successfully developed in the previous study for visualization and analysis of agricultural data. Still, the visualization module on the SOLAP takes a long time to display the map due to big size GeoJSON file. This study aims to simplify polygon data that represent administrative boundaries in Indonesia. Simplification on the polygon was done using two algorithms namely Douglas-Peucker and Visvalingam-Whyatt. This study showed that simplified polygon has successfully reduced access time of the SOLAP visualization module from 3.29 minutes to less than 15 seconds. The simplified polygon of the Douglas-Pecker algorithm has better shape and fewer coordinates. Hence, the results of Douglas-Pecker's algorithm simplification are implemented in SOLAP for Indonesian Agricultural Commodities.