IMPLEMENTATION FUZZY TIME SERIES ALGORITHM TO PREDICT INDONESIA’S EXPORTS VALUE

SAPUTRO, YUSDWIKA BASKORO (2019) IMPLEMENTATION FUZZY TIME SERIES ALGORITHM TO PREDICT INDONESIA’S EXPORTS VALUE. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.

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Abstract

Prediction is done to estimate something that will happen in the future, predicting the value of Indonesian exports to be used to estimate the development of domestic production and can be used as a basis for measuring the country's economic stability. At the stage of predicting the value of Indonesian exports, a program is needed that can do calculations by implementing an algorithm that can predict values with high accuracy. So the results of the algorithm calculation, according to or resembling real data that already exists. In the testing process, the Fuzzy Time Series Algorithm is an algorithm that is suitable for predicting the value of Indonesian exports, because from the calculations using this algorithm, the resulting predictive value has a high level of accuracy, which is above 90%. Keyword: Prediction, Fuzzy Time Series, Exports Value

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 005 Computer programming, programs & data > Information Systems
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mr Lucius Oentoeng
Date Deposited: 10 Jul 2019 08:03
Last Modified: 10 Nov 2020 06:32
URI: http://repository.unika.ac.id/id/eprint/19645

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