A.M.H. Pardede, Yusdiana Br Sembiring, Akbar Iskandar, Dyah Retno Pitasari, S. Sriadhi, Dian Rianita, Muhammad Arifin, Mersy Yoslin Ririhena, Nurintan Asyiah Siregar, Supriyono, Ayu Esteka Sari, Simson Tondo, Muhammad Zarlis, Edy Winarno, Tulus
Data collected by PLN staff on customer's complaints in the usage of electricity are very huge and accumulate. Previously, there was no information about these kinds of complaints in all sub-districts included inside the company, PT. PLN Binjai. On the other hand, each year company experienced problems to classify all complaints in order to obtain customers with information to later be used as a basis for making policy/decision. Data mining used clustering method and K-Means algorithm to classify the data so that important information is obtained from customer's complaints on the electricity usage, using variable: types of complaints, power using by consumer and consumer's region. Data was analyzed using Matlab to produce cluster centers and obtained a relationship between variables obtained with groups with high number of complaints. Results revealed that from 500 customers who have complained, cluster 1 had 218 complaints namely NT Fuse Putus with power used was 1300 watt and was located in Binjai. © Published under licence by IOP Publishing Ltd.
STMIK Kaputama, Sumatera Utara, Binjai, Indonesia; Department of Informatics, STMIK AKBA, Makassar, Indonesia; Department of Law, Universitas Halmahera, Tobelo, Indonesia; Department of Electrical Engineering, Universitas Negeri Medan, Indonesia; Department of Public Administrations, Universitas Lancang Kuning, Indonesia; Department of Information System, Faculty of Engineering, Universitas Muria Kudus, Indonesia; Department of Accounting, Universitas Halmahera, Indonesia; Department of Management, STIE Labuhanbatu, Sumatera Utara, Indonesia; Department of Information System, Universitas Muria Kudus, Kudus, Indonesia; Department of Management, STIE Sakti Alam Kerinci, Jambi, Indonesia; Department of Public Administration, Universitas Halmahera, Tobelo, Indonesia; Department of Computer Science, Universitas Sumatera Utara, Medan, Indonesia; Faculty of Information Technology, Universitas Stikubank, Semarang, Indonesia; Department of Mathematics, Universitas Sumatera Utara, Medan, Indonesia
