Prediction for Total Number of Lab Participants by Fuzzy Time Series Method (case Study: Information Engineering of Bhayangkara Surabaya University )

Abstract

Forecasting is a way to estimate a future value with using past data. One method of forecasting is the fuzzy method
time series. The purpose of this study is to predict the number of students practitioners follow Department of
Informatics University Bhayangkara Surabaya by using fuzzy method time series. The created app can be used to
predict the next 1 year. If the actual data in the year predicted inputted, the application can predict the next year
again. The prediction error rate is calculated using Mean Absolute Percentage Error (MAPE). From the test results
in predicting the number of students followers 7 courses Practicum Informatics Engineering Bhayangkara University
of Surabaya in 2010-2012 using the method proposed in this thesis for practicum PTI obtained MAPE value of
20.50%, Practical ANP obtained MAPE value of 0.50%, Network Computer practicum obtained MAPE value at
8.50%, practicum Database obtained MAPE value of 0.50%,Managemen Network Computer practicum obtained
MAPE value of 14.50%, practicum PKG obtained MAPE value of 0.84% and practicum PBO obtained MAPE value
of 0.21%. Based on the results of testing the data it can be concluded that the fuzzy time series method when used on
more data many, it will get the accuracy of better and precise forecasting values.