NANDASARI, YURISMA and Indrawati, Indrawati and Dwipurwani, Oki (2016) PERBANDINGAN METODE EKSPONENSIAL GANDA DARI BROWN DAN METODE EKSPONENSIAL GANDA DARI HOLT. Undergraduate thesis, Sriwijaya University.
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Abstract
Brown exponential smoothing method and holt exponential smoothing method is used for data figured trend. The more smaller a value MAD (Mean Absolute Deviation) and MAPE (Mean Absolute Percentage Error) forecasting result will be getting better on conditions systematic error does not occur by using tracking signal. Data production oil palm time series exhibitng exponential, brown method and holt method there is systematic error. In production lateks and the number of poor time series exhibitng trend linier, there are not systematic error. It shows brown method and holt method less precise time series exhibitng exponential and be right for poor time series exhibitng trend linier. While production oil palm forecasting result will be getting better on conditions systematic error does not occur by using tracking signal with tracking signal. Holt method the better forecasting because MAPE dan MAD value is smaller than brown method.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Brown Exponential Smoothing¸ Holt Exponential Smoothing, MAPE, MAD, Tracking Signal |
Subjects: | Q Science > QA Mathematics > QA150-272.5 Algebra > QA169.A65 Categories (Mathematics)--Periodicals. Algebra--Periodicals. Mathematical analysis--Periodicals. Topology--Periodicals. Computer science--Periodicals Q Science > QA Mathematics > QA1-939 Mathematics > QA37.3.1.64 Applied Mathematics |
Divisions: | 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1) |
Depositing User: | Mrs Dies Meirita Sari |
Date Deposited: | 19 Nov 2019 06:24 |
Last Modified: | 19 Nov 2019 06:24 |
URI: | http://repository.unsri.ac.id/id/eprint/17107 |
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