Peramalan Harga Cabai Rawit di Kota Bandung, Kota Bogor dan Kota Cirebon dengan Pendekatan GSTAR
نویسندگان
چکیده
Pergerakan harga cabai di suatu daerah sangat mungkin dipengaruhi oleh pergerakan sekitarnya. Ketika gangguan musiman terjadi pusat produksi yang mempengaruhi hasil panen, maka secara otomatis kelangkaan stok fluktuasi harga. Peramalan rawit diperlukan untuk menjaga keseimbangan permintaan dan penawaran. dalam penelitian ini menggunakan model Generalized Space Time Autoregressive (GSTAR) dengan pertimbangan bahwa GSTAR merupakan salah satu pemetaan berbasis space time memodelkan, meramalkan data memiliki keterkaitan antar waktu sebelumnya lokasi berdekatan. Model sering digunakan kasus kesehatan namun belum pernah rawit. Data berupa laporan Kota Bandung, Bogor, Cirebon, mingguan dari tahun 2018 sampai 2021 terbagi menjadi dua bagian yaitu in sample out sample. Pemodelan pembobotan pembobot normalisasi korelasi silang invers jarak. Hasil analisis menunjukkan (2;1) I (1) terbaik nilai RMSE MAPE terkecil sehingga lebih tepat Bogor Cirebon.
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ژورنال
عنوان ژورنال: Saintifik
سال: 2023
ISSN: ['2407-4098', '2622-8904']
DOI: https://doi.org/10.31605/saintifik.v9i2.426