Decision-Making Framework for Validation of Data Collection Process in a Survey
You Ari Faeni, Fadhil Hidayat

School of Electrical Engineering and Informatics , Bandung Institute of Technology

Abstract

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.

Keywords: Decision Making, Systematic Literature Review, GPS data, Validation of a survey

Topic: Computer Science