APLIKASI PREDIKSI PERMINTAAN STOK DARAH DI PMI KOTA MALANG MENGGUNAKAN METODE TRIPLE EXPONENTIAL SMOOTHING
| Main Author: | Hidayat, Afrinda Wahyu |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/51613/1/PENDAHULUAN.pdf http://eprints.umm.ac.id/51613/2/BAB%201.pdf http://eprints.umm.ac.id/51613/3/BAB%202.pdf http://eprints.umm.ac.id/51613/4/BAB%203.pdf http://eprints.umm.ac.id/51613/5/BAB%204.pdf http://eprints.umm.ac.id/51613/6/BAB%205.pdf http://eprints.umm.ac.id/51613/8/LAMPIRAN.pdf http://eprints.umm.ac.id/51613/ |
Daftar Isi:
- Blood is one of the needs that must be fulfilled in several hospitals in each region. Prediction or forecasting is an art and a senior for future work. Many methods can be userd to predict an event or event. One of the most developed methods is the time series. One of them is the exponential smoothing method. The exponential method is divided into three categories, namely single exponential smoothing, double exponential smoothing and three exponential smoothing. Becauser the blood stock demand data required by PMI follows a trend data pattern and also contains considerations, the research in this study users the Triple Exponential Smoothing method. The steps taken in the prediction process include input data, test data, calculation and output processes. The results of data processing of blood type O blood stock demand with blood type Thrombosite Concentrate (TC) for the estimation process resulted in MAPE of 28,51657% alpha = 0.4, the data userd are historical data from 1 January 2018 to 31 December 2018. Results forecasting will be implemented in a prediction application.