IMPLEMENTASI METODE GREY SYSTEM THEORY DALAM APLIKASI PERAMALAN TARGET PENJUALAN GAMIS
Peramalan jangka pendek sangat diperlukan untuk menyelesaikan hal yang mendesak. Namun jika data masa lalu yang tersedia sulit didapatkan atau terbatas maka bisa mengakibatkan sulitnya mendapatkan ramalan yang akurat. Model peramalan dikatakan baik jika nilai keakuratan peramalannya mendekati data s...
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2016-06-29.
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| 100 | 1 | 0 | |a Sudrajat, Syaeful Yuniar |e author |
| 245 | 0 | 0 | |a IMPLEMENTASI METODE GREY SYSTEM THEORY DALAM APLIKASI PERAMALAN TARGET PENJUALAN GAMIS |
| 260 | |c 2016-06-29. | ||
| 500 | |a http://repository.upi.edu/27464/1/S_KOM_0902100_Title.pdf | ||
| 500 | |a http://repository.upi.edu/27464/2/S_KOM_0902100_Abstract.pdf | ||
| 500 | |a http://repository.upi.edu/27464/3/S_KOM_0902100_Table_of_content.pdf | ||
| 500 | |a http://repository.upi.edu/27464/4/S_KOM_0902100_Chapter1.pdf | ||
| 500 | |a http://repository.upi.edu/27464/5/S_KOM_0902100_Chapter2.pdf | ||
| 500 | |a http://repository.upi.edu/27464/6/S_KOM_0902100_Chapter3.pdf | ||
| 500 | |a http://repository.upi.edu/27464/7/S_KOM_0902100_Chapter4.pdf | ||
| 500 | |a http://repository.upi.edu/27464/8/S_KOM_0902100_Chapter5.pdf | ||
| 500 | |a http://repository.upi.edu/27464/9/S_KOM_0902100_Bibliography.pdf | ||
| 500 | |a http://repository.upi.edu/27464/10/S_KOM_0902100_Appendix.pdf | ||
| 520 | |a Peramalan jangka pendek sangat diperlukan untuk menyelesaikan hal yang mendesak. Namun jika data masa lalu yang tersedia sulit didapatkan atau terbatas maka bisa mengakibatkan sulitnya mendapatkan ramalan yang akurat. Model peramalan dikatakan baik jika nilai keakuratan peramalannya mendekati data sebenarnya. Grey Forecasting Model atau GM (1,1) merupakan model peramalan yang menggunakan persamaan differensial orde satu dan satu variable yang meningkatkan keakuratan ramalan jangka pendek untuk data terbatas.;---Short-term forecasting is necessary to resolve urgent matters. But if the past data available are limited, difficult to obtain or can lead to difficulties in obtaining accurate forecasts. Forecasting model is said to be good if the value of the accuracy of forecasting closer to the actual data. Grey Forecasting Model or GM (1,1) is a forecasting model using first-order differential equation and one variable that improves the accuracy of short-term forecasts for unlimited data. | ||
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