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Phatsa: A web-based application for forecasting using conventional moving average methods

Kristanda, Marcel Bonar and Hansun, Seng (2018) Phatsa: A web-based application for forecasting using conventional moving average methods. 2017 International Conference on New Media Studies (CONMEDIA).

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Official URL: https://ieeexplore.ieee.org/document/8266028

Abstract

Forecasting with time series was made by hypothetical study that historical data related with the future data. Moving average (MA) is one of the well-known methods to be used in forecasting technique. Although there are several methods that already developed like soft computing and modified methods, conventional moving average methods still implemented in recent researches because of its simplicity. This study conducts a development of web-based application called Phatsa (PHP Application for Time Series Analysis) that implements three conventional moving average methods, i.e. the SMA, WMA and EMA. All the calculation tested in 100-5000 rows of time series dataset with the maximum calculating time below 0.4 seconds. Calculating time is relatively linear with the complexity of its equation, EMA has the biggest amount of time while SMA has the lowest one.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming
500 Science and Mathematic > 510 Mathematics > 519 Probabilities and Applied Mathematics
Divisions: Fakultas Teknik Informatika > Program Studi Informatika
Depositing User: mr admin umn
Date Deposited: 21 Oct 2021 01:07
Last Modified: 21 Oct 2021 01:07
URI: http://kc.umn.ac.id/id/eprint/18890

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