Prediksi Pendapatan Sewa Dengan Data Mining Pada Perusahaan XYZ

Authors

  • May Liana Bina Nusantara University
  • Christine Sanjaya Bina Nusantara University
  • Agus Widodo Bina Nusantara University
  • Marshall Martinus Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v1i2.2344

Keywords:

leasing income prediction, data mining, neural network, backpropagation, Levenberg Marguardt, CRISP-DM.

Abstract

XYZ Company has a program to predict leasing income that only predict in constant condition where every tenant assumed for leasing renewal. This research is done to build accurate income prediction system that accommodate in making strategic decision towards the company. Premier data collecting is through direct interview with the company management. The analysis is through data training from the previous years to build neural network model. The analysis result shows that this model has produced error total value that is smaller than the previous error total value in years before. Therefore, it could be concluded that data mining with neural network technique that produced more accurate leasing income that could help the company making decision based on the hidden information in the database.

Dimensions

Plum Analytics

References

Demuth, H., et al. (2009). Neural Network ToolboxTM 6 User’s Guide. Natick: MathWorks.

Mohd, Z., & Azlan, et al. Application of Regression and ANN Techniques for Modeling of the Surface Roughness in End Milling Machining Process, IEEE Computer Society, DOI 10.1109/AMS.2009.76.

Zhang, H., et al. (2009). Multi-objective simultaneous prediction of waterborne coating properties. Journal of Mathematical Chemistry 46, 1050-1059.

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Published

2010-12-01

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