Research Article
Decision-Making Framework for Validation of Data Collection Process in a Survey with GPS Data
@INPROCEEDINGS{10.4108/eai.12-10-2019.2296545, author={You Ari Faeni and Fadhil Hidayat}, title={Decision-Making Framework for Validation of Data Collection Process in a Survey with GPS Data}, proceedings={Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia}, publisher={EAI}, proceedings_a={MSCEIS}, year={2020}, month={7}, keywords={decision making systematic literature review gps data validation of a survey}, doi={10.4108/eai.12-10-2019.2296545} }- You Ari Faeni
Fadhil Hidayat
Year: 2020
Decision-Making Framework for Validation of Data Collection Process in a Survey with GPS Data
MSCEIS
EAI
DOI: 10.4108/eai.12-10-2019.2296545
Abstract
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 decide 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 a method to validate the data collection process of a survey using three methods (SVM, decision tree and random forest) will be used to analyze the position, time, track and personal data of the surveyor.