RDBMS dan Google Maps Integration Model for WebGIS Based Land Ownerships Data Visualization

Abstract

Abstract Map-based visualization of land ownership data is much needed by policymakers, both in government and private institutions. The utilization of this data is primarily to support macro planning, policy-making, and good governance. On the other hand, there are currently many application systems available which are the RDBMS database. This research examines the proposed RDBMS integration model and Google Maps maps to visualize land ownership data in a dynamic map view. The prototyping method is applied in this study to show how the available RDBMS can be improved to visualize land ownership data in a WebGIS-based application. The proposed model is tested using an application prototype. Technically the model can be implemented without significant constraints, but the actual implementation still faces obstacles, especially related to policies related to the cross-sectoral utilization of population databases and the obligation to maintain data confidentiality.