EVA MONICA, 1217031028 (2017) PENERAPAN METODE TREND UNTUK MERAMALKAN TIPE DATA MUSIMAN. UNIVERSITAS LAMPUNG, FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM.
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Abstrak
Tujuan dari penelitian ini adalah untuk menerapkan metode trend hasil penjualan motor dengan menerapkan metode trend musiman. Berdasarkan nilai R-Square, Adj.R-Square, dan Mean Absolute Persentage Error (MAPE). Hasil penelitian menunjukkan bahwa model trend baik digunakan untuk meramalkan penjualan motor Yamaha karena mempunyai nilai Mean Absolute Persentage Error (MAPE) kurang 20%. Kata Kunci : Metode Peramalan, Metode Trend, Deret Waktu Musiman, Metode Trend Musiman, Mean Absolute Persentage Error (MAPE). ABSTRACT The aim of this study is to analyze the sales data of Yamaha motorcycles using trend method based on the value of R-Square, Adj.R-Square, and Mean Absolute Percentage Error (MAPE). Seasonal assumptions tested using time series charts and seasonal index. The results showed that trend method can predict the sales of Yamaha motorcycles accurately since the value of Mean Absolute Percentage Error (MAPE) is under 20%. Keywords : Method of Forcasting, Trend Method, Seasonal Time Series, Trend Seasonal Method, Mean Absolute Persentage Error (MAPE).
| Tipe Karya Ilmiah: | Skripsi |
|---|---|
| Subyek: | > Q Science (General) > QA Mathematics |
| Program Studi: | Fakultas MIPA > Prodi Matematika |
| Depositing User: | 2490905 . Digilib |
| Date Deposited: | 20 Feb 2017 06:33 |
| Last Modified: | 20 Feb 2017 06:33 |
| URI: | http://digilib.unila.ac.id/id/eprint/25630 |
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