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

A. M. Masbar Rus, R. Pramudita, Isti Surjandari Prajitno

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Article number012046
JournalIOP Conference Series: Materials Science and Engineering
Issue number1
Publication statusPublished - 28 Mar 2018
Event15th International Conference on Quality in Research, QiR 2017 - Nusa Dua, Bali, Indonesia
Duration: 24 Jul 201727 Jul 2017


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