scholarly journals Analisis Triple Exponential Smoothing untuk Peramalan Kredit yang Diberikan Bank Umum Konvensional dan Syariah

2021 ◽  
Vol 5 (2) ◽  
pp. 243-250
Author(s):  
Astri Afrilia
Keyword(s):  
Exponential Smoothing

Kredit yang diberikan bank merupakan pos keuangan penting yang perlu diprediksikan jumlahnya. Hal ini dikarenakan pendapatan utama sebagian besar bank di Indonesia masih bersumber dari kredit. Salah satu teknik analisis yang dapat digunakan adalah metode triple exponential smoothing. Penelitian ini bertujuan untuk memperoleh hasil ramalan (prediksi) kredit yang diberikan pada periode mendatang bagi Bank Umum Konvensional dan Syariah. Dari hasil pengolahan data diperoleh bahwa nilai alpha sebesar 0,3 memberikan hasil ramalan sebesar Rp 8.195.603 miliar dengan akurasi tertinggi atau error terkecil berdasarkan nilai MAD dan MAPE yakni sebesar Rp 59.199 Miliar dan 0.78%. Sehingga, dapat dikatakan bahwa metode Triple Exponential Smoothing merupakan metode yang efektif dan efisien untuk meramalkan jumlah KYD Bank Umum Konvensional dan Syariah.

Daily Tracking and Forecasting of the Global COVID-19 Pandemic Trend Using Holt–Winters Exponential Smoothing

2020 ◽  
Author(s):  
Zhanduo Zhang ◽  
Xiaona Wang ◽  
Hui Gong ◽  
Xin Liu ◽  
Huijuan Chen ◽  
...  
Keyword(s):  
Exponential Smoothing

Fitting exponential smoothing models with computer graphics

1989 ◽  
Vol 16 (3) ◽  
pp. 387-405
Author(s):  
Rafael G. Moras ◽  
Eric L. Blair
Keyword(s):  
Computer Graphics ◽  
Exponential Smoothing

The predicted load balancing algorithm based on the dynamic exponential smoothing

Open Physics ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 439-447
Author(s):  
Lijie Yan ◽  
Xudong Liu
Keyword(s):  
Time Series ◽  
Load Balancing ◽  
Exponential Smoothing ◽  
Load Prediction ◽  
The Common ◽  
Load Balancing Algorithm ◽  
Balancing Efficiency

AbstractTo a large extent, the load balancing algorithm affects the clustering performance of the computer. This paper illustrated the common load balancing algorithms and elaborated on the advantages and drawbacks of such algorithms. In addition, this paper provides a kind of balancing algorithm generated on the basis of the load prediction. Due to the dynamic exponential smoothing model, such an algorithm helps obtain the corresponding smoothing coefficient with the server node load time series of current phrase and allows researchers to make prediction with the load value at the next moment of this node. Subsequently, the dispatcher makes the scheduling with the serve request of users according to the load predicted value. OPNET Internet simulated software is applied to the test, and we may conclude from the results that the application of such an algorithm acquires a higher load balancing efficiency and better load balancing effect.

NAES: A Natural Adaptive Exponential Smoothing for Channel Prediction in WLANs

2007 ◽  
Author(s):  
Jeandro Bezerra ◽  
Rudy Braquehais ◽  
Filipe Roberto ◽  
Jorge Silva ◽  
Marcial Fernandez ◽  
...  
Keyword(s):  
Exponential Smoothing ◽  
Channel Prediction
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