@misc{eprints82954,
           month = {Juli},
           title = {PERBANDINGAN METODE FUZZY TIME SERIES SINGH DAN
FUZZY TIME SERIES MARKOV CHAIN PADA PERAMALAN

HARGA GABAH KERING PANEN (GKP)},
          author = {AFRISANTI AULIA DIAH},
         address = {UNIVERSITAS LAMPUNG},
       publisher = {FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM},
            year = {2024},
             url = {http://digilib.unila.ac.id/82954/},
        abstract = {In the realm of commodity markets, grain is an important point because a high
transaction amount of paddy is usually in the form of grain, therefore, price stability
and grain availability will directly affect rice production and affect food and
agricultural decisions. This research purpose is to compare the Fuzzy Time Series
Singh method with the Fuzzy Time Series Markov Chain method for forecasting
harvested dry grain price data in Indonesia for the period January 2019 to December
2023. The forecasting accuracy of the FTS Singh method was found to have a
MAPE value of 1,791\% and MAE of 89,332. Meanwhile, the FTS Markov Chain
method has a MAPE value of 2,170158\% and MAE of 108,5265, so it is concluded
that the FTS Singh method is better in forecasting GKP price.

Keywords: Fuzzy Time Series Singh, Fuzzy Time Series Markov Chain,
Harvested Dry Grain

Dalam ranah perdagangan komoditas, gabah menjadi poin kunci karena transaksi
padi dalam jumlah besar biasanya dilakukan dalam bentuk gabah, oleh karena itu
stabilitas harga dan ketersediaan gabah akan secara langsung memengaruhi
produksi beras dan berdampak pada kebijakan pangan dan pertanian. Penelitian ini
bertujuan untuk membandingan metode Fuzzy Time Series Singh dengan metode
Fuzzy Time Series Markov Chain guna peramalan harga Gabah Kering Panen
(GKP) di Indonesia periode Januari 2019 hingga Desember 2023. Perolehan akurasi
peramalan metode FTS Singh diperoleh nilai MAPE sebesar 1,791\% dan MAE
sebesar 89,332, sedangkan dengan metode FTS Markov Chain diperoleh nilai
MAPE sebesar 2,170158\% dan MAE sebesar 108,5265. Dari hasil yang diperoleh
disimpulkan bahwa metode FTS Singh lebih baik dalam peramalan data Harga
Gabah Kering Panen (GKP).

Kata Kunci: Fuzzy Time Series Singh, Fuzzy Time Series Markov Chain, Harga
Gabah Kering Panen (GKP)}
}