Transformasi Koordinat Menggunakan Jaringan Syaraf Tiruan Propagasi Balik Resilient

Abstract

Genuk datum, which is based on Bessel 1841 ellipsoid model, is a local datum used in Indonesia. On the other hand, World Geodetic System 1984 (WGS-84), a datum used in GPS measurement, is commonly used by the rest of the world. Therefore in order, to fully utilize WGS- 84, Genuk datum has to be transformed to WGS-84 datum. A model is needed to transform coordinates from Genuk datum into WGS-84 datum. This research discusses coordinate transformation using similarity transformation (4-parameter) and Resilient Back-propagation Neural Network. Similarity transformation is a traditional method for coordinate transformation. The Resilient Back-propagation Neural Network provides a new technology for coordinate transformation. Coordinate transformation in this research is conducted on West Java coordinate data. The data are split into two parts: a third are used as testing data and the rest are used as training data. The test results show that the coordinate transformation using Resilient Backpropagation Neural Network can be used as an alternative model to coordinate transform.