Prediksi Pesediaan Stock Pulsa Menggunakan Fuzzy Linear Regresion

Misdiyanto Misdiyanto


Electronic phone credit (pulsa) sales at this time showed an outstanding increase, because of the needs of phone credit usage every day by the society that has now became a need. Phone credit business will never stop because human always communicate with one another. To ensure the availability of the product in the phone credit server, the phone credit server manager routinely, in a particular period, inventorize the purchase of phone credit products. From the exploration above, the market conditions in a business are always changing, In a business. Process prediction is important for every business person in decision-making. Then, there is a need to build a prediction system that could predict phone credit transactions in the next period. Results or output of this system is predictive value of transactions in the next period with average error value of 4% using β1=0,5 and β2=0,2. Therefore, it can be used as a reference for the management in the decision-making.

Full Text:



Aliyeh Kazemia, Amir Foroughi, Mahnaz Hosseinzadeh, 2012. A Multi-Level Fuzzy Linear Regression Model for Forecasting Industry Energy Demand of Iran. Department of Industrial Management. University of Tehran Iran

Xiaodan Yua, Zhiquan Qi, Yuanmeng Zhao. 2013. Support Vector Regression for Newspaper/Magazine Sales Forcasting. Information Technology and Quantitative Management, University of Nebraska at Omaha

Z. Ismail, A. Yahya. 2009. Forecasting Gold Prices Using Multiple Linear Regression Method. Department of Faculty of Science, University Technology Malaysia.

Kusumadewi, Sri. 2010. Aplikasi Logika Fuzzy Untuk Pendukung Keputusan. Graha Ilmu.



  • There are currently no refbacks.

J-SAKTI (Jurnal Sains Komputer & Informatika)
Published Papers Indexed/Abstracted By:

Jumlah Kunjungan :

View My Stats