Segmentation of Natural Gas Customers in Industrial Sector Using Self-Organizing Map (SOM) Method

Quality in Research: International Symposium on Materials, Metallurgy, and Chemical Engineering

材料科学;冶金学;化学工业

Masbar Rus, A.M.^1 ; Pramudita, R.^1 ; Surjandari, I.^1

Industrial Engineering Department, Faculty of Engineering, Universitas Indonesia, Depok

16424, Indonesia^1

关键词: Clustering process;    Customer segmentation;    Data mining methods;    Industrial sector;    Marketing strategy;    Non-renewable energy;    Standard deviation;    Total deviations;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/316/1/012046/pdf
DOI  :  10.1088/1757-899X/316/1/012046

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The usage of the natural gas which is non-renewable energy, needs to be more efficient. Therefore, customer segmentation becomes necessary to set up a marketing strategy to be right on target or to determine an appropriate fee. This research was conducted at PT PGN using one of data mining method, i.e. Self-Organizing Map (SOM). The clustering process is based on the characteristic of its customers as a reference to create the customer segmentation of natural gas customers. The input variables of this research are variable of area, type of customer, the industrial sector, the average usage, standard deviation of the usage, and the total deviation. As a result, 37 cluster and 9 segment from 838 customer data are formed. These 9 segments then employed to illustrate the general characteristic of the natural gas customer of PT PGN.