Perbandingan Tingkat Akurasi Metode Average Based Fuzzy Time Series Markov Chain dan Algoritma Novel Fuzzy Time Series
نویسندگان
چکیده
Fuzzy time series method can be applied in predicting the situation food price development data such as rice. The position of rice a staple has resulted this commodity being one indicators economic growth. importance suppressing prices so that they are stable done by forecasting Indonesia future. research used for is average based fuzzy Markov chain and novel algorithms series. Researchers will compare two methods case looking at level accuracy better. study monthly wholesale trade from January 2015 to March 2021 units Rp/Kg much 75 data. results comparison using value Mean Absolute Percentage Error (MAPE), obtained forecast Indonesian which 0.36%, while MAPE algorithm 0.19%. Based on results, it concluded produces better compared chain.
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ژورنال
عنوان ژورنال: Jurnal Riset Mahasiswa Matematika
سال: 2022
ISSN: ['2808-4926', '2808-1552']
DOI: https://doi.org/10.18860/jrmm.v1i3.14332