Indonesia Conference Directory

Survey is a method for estimating the parameters of a population. To produce the right statistics, it needs a validation process in collecting data in a survey. Some methods are used to validate one of them is to use a decision-making method with GPS data. This study uses Systematic Literature Review (SLR) to understand about research trends, methods, and data used in decision-making with GPS data. After reviewing 27 chosen journals and proceedings, this study concludes that there are several methods used to make a decision with GPS data such as decision tree, random forest, neural network, and support vector machine (SVM); Health, environment, Transportation, and agriculture are several fields of business that used GPS data to make a decision; The data analyzed consist of position, time, speed, track, and distance. Based on SLR result, we propose method to validate the data collection process of a survey using 3 methods (SVM, decision tree and random forest) will be used to analyze position, time, track and personal data of the surveyor.