Penerapan Fuzzy Time Series Markov-Chain

Ma'rufah  Hayati

doi:10.46924/pyk.17

Penerapan Fuzzy Time Series Markov-Chain

Authors

Ma'rufah Hayati

Universitas Nahdlatul Ulama Lampung

DOI: https://doi.org/10.46924/pyk.17

Synopsis

Dalam buku ini, akan dibahas suatu metode peramalan yaitu fuzzy time series Markov-chain (FTSMC) merupakan metode yang memperhatian gejolak yang terjadi khusus nya pada nilai tukar Rupiah terhadap US Dollar dan data histori merupakan data linguistic, dengan mencari semesta pembicaraan U dari data, kemudian dari semesta pembicaraan tersebut dapat diperoleh beberapa interval yang kemudian transfer data kedalam suatu himpunan fuzzy yang telah ditentukan, lalu fuzzyfikasi ke data histori, mencari relasi logika fuzzy (FLR) dari hasil fuzzyfikasi, dari relasi logika fuzzy (FLR) yang di peroleh selanjutnya mencari grup relasi logika fuzzy (FLRG), dari grup relasi logika fuzzy yang diperoleh selanjutnya digunakan untuk mencari matrik transisi markov-chain, kemudian matrik yang di peroleh digunakan untuk peramalan. Untuk melihat Seberapa kinerja ramalan nilai tukar Rupiah terhadap US Dollar akan ditampilkan perbandingan MAPE metode fuzzy time series Markov-chain (FTSMC) dengan metode fuzzy time series (FTS) konvensional lainnya.

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