Introduction to Zaitun Time Series

Zaitun Time Series is designed for ease of use for statistical analysis, series modeling and forecasting of time series data.

Zaitun Time Series provides several statistics and neural networks models, and graphical tools that will make your work on time series analysis easier.

  • Statistics dan Neural Networks Analysis: Trend Analysis, Decomposition, Moving Average, Exponential Smoothing, Correlogram, Neural Networks.
  • Graphical Tools: Time Series Plot, Actual and Predicted Plot, Actual and Forecasted Plot, Actual vs Predicted Plot, Residual Plot, Residual vs Actual Plot, Residual vs Predicted Plot.

Zaitun Time Series was originally developed by the “Time Series” team as the final project of their four year diploma degrees in Sekolah Tinggi Ilmu Statistik Jakarta, Indonesia. Members of the team are Rizal Zaini Ahmad Fathony, Suryono Hadi Wibowo, Wawan Kurniawan, Muhamad Fuad Hasan, Al Maratul Sholihah, and Rismawaty. Now, the developer team in is continuing the development of Zaitun Time Series, the members of the team now are Rizal Zaini Ahmad Fathony, Aris Wijayanto, Dewi Andriyanti, and Lia Amelia.

Zaitun Time Series is freeware. It can be used for any purpose, including commercial use.