PERBANDINGAN METODE FUZZY TIME SERIES MARKOV CHAIN DAN FUZZY TIME SERIES CHENG DALAM MERAMALKAN NILAI TUKAR RUPIAH TERHADAP DOLAR AMERIKA SERIKAT (AS)
DOI:
https://doi.org/10.25077/jmua.12.2.121-134.2023Abstract
Nilai tukar mata uang atau yang sering disebut dengan kurs merupakan
harga satu unit mata uang asing dalam mata uang domestik atau dapat
juga dikatakan harga mata uang domestik terhadap mata uang asing.
Nilai tukar rupiah terhadap dolar Amerika Serikat memainkan peranan sentral
dalam perdagangan internasional, karena nilai tukar rupiah terhadap dolar
Amerika Serikat memungkinkan seseorang untuk membandingkan harga-harga
segenap barang dan jasa yang dihasilkan berbagai negara. Pertumbuhan nilai
tukar mata uang yang stabil menunjukkan bahwa negara tersebut memiliki
kondisi perekonomian yang stabil. Oleh sebab itu perlu dilakukan peramalan
nilai tukar rupiah terhadap dolar Amerika Serikat untuk beberapa waktu yang
akan datang sebagai dasar pengambilan keputusan bagi pemerintah. Beberapa
metode peramalan yang dapat dilakukan untuk meramalkan data time series
nilai tukar rupiah terhadap dolar Amerika Serikat adalah metode fuzzy time
series markov chain dan fuzzy time series Cheng. Kedua metode ini akan ditentukan
hasil peramalannya kemudian dibandingkan tingkat akurasinya menggunakan
MSE, MAE, dan MAPE sehingga diperoleh metode peramalan yang
paling tepat untuk meramalkan nilai tukar rupiah terhadap dolar Amerika
Serikat. Pada penelitian ini diperoleh metode terbaik untuk meramalkan nilai
tukar rupiah terhadap dolar Amerika Serikat adalah metode fuzzy time series
markov chain.
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