Peramalan Penjualan Sepeda Motor Menurut Tipe Dengan Pendekatan Autoregressive Integrated Moving Average With Exogeneous Input (Arimax) Di Kabupaten Banyuwangi

Izza, Maries Lailatul (2014) Peramalan Penjualan Sepeda Motor Menurut Tipe Dengan Pendekatan Autoregressive Integrated Moving Average With Exogeneous Input (Arimax) Di Kabupaten Banyuwangi. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sampai saat ini transportasi masal di Indonesia masih belum terkelola dengan baik, hal ini menyebabkan masyarakat lebih banyak memilih untuk menggunakan kendaraan pribadi, salah satunya adalah sepeda motor. Penjualan sepeda motor di kabupaten Banyuwangi meningkat pada bulan-bulan tertentu, hal ini diduga adanya pengaruh dari variasi kalender. Pada penelitian ini dilakukan pemodelan penjualan sepeda motor menggunakan metode ARIMAX dengan pendekatan model deterministic dan stochastic yang dibandingkan menggunakan kriteria nilai SMAPE. Hasil dari penelitian menunjukkan bahwa model terbaik untuk penjualan ketiga tipe sepeda motor adalah menggunakan model deterministic. ============================================================================================================= Until now mass transportation in Indonesia is still not managed properly, this causes more people choose to use private vehicles, one of which is a motorcycle. Motorcycle sales in Banyuwangi district increased in certain months, it is suspected the influence of variations in the calendar. In this research, modeling motorcycle sales ARIMAX approach using deterministic and stochastic models are compared using criteria SMAPE value. The results of the study showed that the best model for all three types of motorcycle sales is to use deterministic models.

Item Type: Thesis (Undergraduate)
Additional Information: RSSt 519.55 Izz p 3100014056755
Uncontrolled Keywords: ARIMAX, Deterministic, SMAPE, Stochastic
Subjects: H Social Sciences > HA Statistics > HA30.3 Time-series analysis
Q Science > QA Mathematics > QA276 Mathematical statistics. Time-series analysis. Failure time data analysis. Survival analysis (Biometry)
Divisions: Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Yeni Anita Gonti
Date Deposited: 15 Dec 2020 04:43
Last Modified: 15 Dec 2020 04:43
URI: https://repository.its.ac.id/id/eprint/82310

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