Journal of Mathematics and Scientific Computing With Applications
Vol. 3 No. 2 (2022)

FORECASTING THE NUMBER OF PASSENGERS FOR THE MEDAN-KUALANAMU TRAIN WITH TIME INVARIANT FUZZY TIME SERIES METHOD

Nasution, Pauziah (Unknown)
Huda Prasetya, Nurul (Unknown)
Rakhmawati, Fibri (Unknown)

Article Info

Publish Date
30 Jun 2022

Abstract

For forecasting, a forecasting model is needed. Forecasting to find out the increase or even decrease for the departure of Medan - Kualanamu for the next few years. Then the value generated by fuzzy logic is not yes, which has a value of 1, and is not worth 0. Time series is data that is collected from time to time, to describe the development of an activity. From the case of forecasting the number of passengers of the Medan-Kualanamu Train, the author will use the Time Invariant Fuzzy Time Series method. Based on the research, it is obtained that the forecasting of the number of passengers of the Medan-Kualanamu / Kualanamu-Medan train in 2021 is 182,874.9; and 2022 is 266,527,510.6 with AFER is 2,5%.

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Journal Info
Journal of Mathematics and Scientific Computing With Applications
Website

Abbrev

jmscowa

Publisher

Yayasan Pena Cendekia Insani

Subject

Mathematics

Description

Journal of Mathematics and Scientific Computing With Applications is a broad-based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. It covers all major areas, such as numerical ...