METODE FUZZY TIME SERIES UNTUK PERAMALAN DATA RUNTUN WAKTU (studi kasus: Produk Domestik Bruto Indonesia)
Fuzzy time series is a the dynamical process of a linguistic variable which fuzzy set is as linguistic value.The specialty of fuzzy time series modeling is able to formulate a problem based on expert knowledge or empirical data. In this research, empirical analysis have developed with fuzzy time ser...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2011
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| author | , Marinus ignasius Jawawuan Lamabelawa,S.Kom , Prof. Drs. Subanar, Ph.D. |
| author_facet | , Marinus ignasius Jawawuan Lamabelawa,S.Kom , Prof. Drs. Subanar, Ph.D. |
| author_sort | , Marinus ignasius Jawawuan Lamabelawa,S.Kom |
| collection | UGM |
| description | Fuzzy time series is a the dynamical process of a linguistic variable which
fuzzy set is as linguistic value.The specialty of fuzzy time series modeling is able
to formulate a problem based on expert knowledge or empirical data.
In this research, empirical analysis have developed with fuzzy time series
classical methods first-order and modify the fuzzy time series based on the repartition
the universe of discourse, the determination of the value defuzzify and
use the year to year percentage change as the universe of discourse. Analysis of
empirical data used are time series data of the Indonesia�s Gross Domestic
Product.
Fuzzy time series forecasting using Chen-Hsu method modifying the
classical method of fuzzy time series with repartitioning the universe of discourse
and shows increased reliability and accuracy of forecasting compared with the
classical method. Jilani-Burney approach based on frequency density based
partitioning of the historical data. Modify made by Jilani-Burney of Chen-Hsu
method is to specify a Fuzzy Logical Relationship Group (FLRG). This approach
results improved perfomance.
Stevenson-Porter's approach modifies the method Jilani-Burney using the
year to year percentage of data changes as universe of discourse. Stevenson-Porter
modification method based on the largest number of data on that partition the
universe of discourse show increased reliability forecasting by MSE reached
99,95% and increase forecasting accuracy with MAPE reached 99,14% from
previous methods. |
| first_indexed | 2024-03-13T22:09:15Z |
| format | Thesis |
| id | oai:generic.eprints.org:90065 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T22:09:15Z |
| publishDate | 2011 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:900652014-08-20T02:52:39Z https://repository.ugm.ac.id/90065/ METODE FUZZY TIME SERIES UNTUK PERAMALAN DATA RUNTUN WAKTU (studi kasus: Produk Domestik Bruto Indonesia) , Marinus ignasius Jawawuan Lamabelawa,S.Kom , Prof. Drs. Subanar, Ph.D. ETD Fuzzy time series is a the dynamical process of a linguistic variable which fuzzy set is as linguistic value.The specialty of fuzzy time series modeling is able to formulate a problem based on expert knowledge or empirical data. In this research, empirical analysis have developed with fuzzy time series classical methods first-order and modify the fuzzy time series based on the repartition the universe of discourse, the determination of the value defuzzify and use the year to year percentage change as the universe of discourse. Analysis of empirical data used are time series data of the Indonesia�s Gross Domestic Product. Fuzzy time series forecasting using Chen-Hsu method modifying the classical method of fuzzy time series with repartitioning the universe of discourse and shows increased reliability and accuracy of forecasting compared with the classical method. Jilani-Burney approach based on frequency density based partitioning of the historical data. Modify made by Jilani-Burney of Chen-Hsu method is to specify a Fuzzy Logical Relationship Group (FLRG). This approach results improved perfomance. Stevenson-Porter's approach modifies the method Jilani-Burney using the year to year percentage of data changes as universe of discourse. Stevenson-Porter modification method based on the largest number of data on that partition the universe of discourse show increased reliability forecasting by MSE reached 99,95% and increase forecasting accuracy with MAPE reached 99,14% from previous methods. [Yogyakarta] : Universitas Gadjah Mada 2011 Thesis NonPeerReviewed , Marinus ignasius Jawawuan Lamabelawa,S.Kom and , Prof. Drs. Subanar, Ph.D. (2011) METODE FUZZY TIME SERIES UNTUK PERAMALAN DATA RUNTUN WAKTU (studi kasus: Produk Domestik Bruto Indonesia). UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=52410 |
| spellingShingle | ETD , Marinus ignasius Jawawuan Lamabelawa,S.Kom , Prof. Drs. Subanar, Ph.D. METODE FUZZY TIME SERIES UNTUK PERAMALAN DATA RUNTUN WAKTU (studi kasus: Produk Domestik Bruto Indonesia) |
| title | METODE FUZZY TIME SERIES
UNTUK PERAMALAN DATA RUNTUN WAKTU
(studi kasus: Produk Domestik Bruto Indonesia) |
| title_full | METODE FUZZY TIME SERIES
UNTUK PERAMALAN DATA RUNTUN WAKTU
(studi kasus: Produk Domestik Bruto Indonesia) |
| title_fullStr | METODE FUZZY TIME SERIES
UNTUK PERAMALAN DATA RUNTUN WAKTU
(studi kasus: Produk Domestik Bruto Indonesia) |
| title_full_unstemmed | METODE FUZZY TIME SERIES
UNTUK PERAMALAN DATA RUNTUN WAKTU
(studi kasus: Produk Domestik Bruto Indonesia) |
| title_short | METODE FUZZY TIME SERIES
UNTUK PERAMALAN DATA RUNTUN WAKTU
(studi kasus: Produk Domestik Bruto Indonesia) |
| title_sort | metode fuzzy time series untuk peramalan data runtun waktu studi kasus produk domestik bruto indonesia |
| topic | ETD |
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