Prediksi Pendapatan Sewa Dengan Data Mining Pada Perusahaan XYZ

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.

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A Neural Network Model for Detection Systems Based on Data Mining and False Errors

Emerging Directions in Embedded and Ubiquitous Computing - Lecture Notes in Computer Science ◽

10.1007/11807964_64 ◽

2006 ◽

pp. 629-638

Author(s):

Se-Yul Lee ◽

Bong-Hwan Lee ◽

Yeong-Deok Kim ◽

Dong-Myung Shin ◽

Chan-Hyun Youn

Keyword(s):

Neural Network ◽

Data Mining ◽

Network Model ◽

Neural Network Model ◽

Detection Systems

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Interpreting the neural network model for HVAC system energy data mining

Building and Environment ◽

10.1016/j.buildenv.2021.108449 ◽

2021 ◽

pp. 108449

Author(s):

Man Wang ◽

Zhe Wang ◽

Yang Geng ◽

Borong Lin

Keyword(s):

Neural Network ◽

Data Mining ◽

Network Model ◽

Neural Network Model ◽

Hvac System ◽

Energy Data ◽

The Neural Network ◽

System Energy

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A Combined Grey Neural Network Model and its Application in Data Mining

Journal of Convergence Information Technology ◽

10.4156/jcit.vol6.issue7.12 ◽

2011 ◽

Vol 6 (7) ◽

pp. 94-101

Author(s):

Changjun Zhu ◽

Sha Li ◽

Liping Wu ◽

Zhenchun Hao

Keyword(s):

Neural Network ◽

Data Mining ◽

Network Model ◽

Neural Network Model

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Data Mining — An Adaptive Neural Network Model for Financial Analysis

Third International Conference on Information Technology and Applications (ICITA'05) ◽

10.1109/icita.2005.109 ◽

2005 ◽

Cited By ~ 2

Author(s):

Shuxiang Xu ◽

Ming Zhang

Keyword(s):

Neural Network ◽

Data Mining ◽

Network Model ◽

Neural Network Model ◽

Financial Analysis ◽

Adaptive Neural Network

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Data mining based neural network model for load forecasting

2005 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2005.1527220 ◽

2005 ◽

Cited By ~ 2

Author(s):

Mian Xing ◽

Wei Sun

Keyword(s):

Neural Network ◽

Data Mining ◽

Network Model ◽

Neural Network Model ◽

Load Forecasting

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Fault Prediction System Based on Neural Network Model

Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007) ◽

10.1109/icicic.2007.308 ◽

2007 ◽

Cited By ~ 2

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Fault Prediction ◽

Prediction System

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Integration of Grey with Neural Network Model and Its Application in Data Mining

Journal of Software ◽

10.4304/jsw.6.4.716-723 ◽

2011 ◽

Vol 6 (4) ◽

Cited By ~ 1

Author(s):

Changjun Zhu ◽

Qinghua Luan ◽

Zhenchun Hao ◽

Qin Ju

Keyword(s):

Neural Network ◽

Data Mining ◽

Network Model ◽

Neural Network Model

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Neural Network Based Breakout Prediction System in Continuous Casting Shop

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.813-814.550 ◽

2015 ◽

Vol 813-814 ◽

pp. 550-556

Author(s):

Md Obaidullah Ansari ◽

Rajashree Samantray ◽

Joyjeet Ghose

Keyword(s):

Neural Network ◽

Continuous Casting ◽

Network Model ◽

Molten Steel ◽

Neural Network Model ◽

Confusion Matrix ◽

Excellent Result ◽

Back Propagation ◽

Prediction System ◽

The Neural Network

— Continuous casting of steel is a process in which liquid steel is continuously solidified into semi-finished or finished product (slabs, blooms or billets). There are many problems associated with continuous casting shop which affect the casting process. A major problem is associated in continuous casting shop is breakout of molten steel. Breakout leads to temporary shutdown of caster, damage of machinery due to splash of molten steel, capital loss, safety hazards etc. In Bokaro steel plant a logical based breakout prediction system is used to predict the breakout. This system sometimes generates false alarm and sometimes even fail to generate an alarm before breakout. Also the logical model has lot of dependence on specific equipment, process and calibration. Neural network can be implemented for a better breakout prediction system. So, in this paper a back-propagation neural network model is developed for predicting the existence of primary cracks that might lead to a breakout. The network gets its input temperatures from thermocouples which are attached to the wide and narrow sides of the mould. The output of the neural network is either logic 1 (for presence of crack) or logic 0 (for no crack). Testing the network shows excellent result as evident from the confusion matrix and performance plot. The neural network model is validated by simulating in MatLab/Simulink. The developed network may be used effectively in predicting breakouts during continuous casting. Such effective prediction can go a long way in reducing production losses in steel manufacturing.

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