Algoritma Genetika untuk Meningkatkan Keakuratan Segmentasi Pelanggan listrik
Customer segmentation, In a context of marketing, is a tool to support a company to provide unique needs of specific customer groups. In the power market, one of significant customer requirements appears i.e. power reliability. Considering the and responding to attitudes and behavioral factors of di...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2011
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/32767/1/34_-_Algoritma_Genetika_untuk_Meningkatkan_Keakuratan_Segmentasi_Pelanggan_listrik.pdf |
| _version_ | 1826033472770146304 |
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| author | Hadi, Sasongko Pramono Warindi, Warindi |
| author_facet | Hadi, Sasongko Pramono Warindi, Warindi |
| author_sort | Hadi, Sasongko Pramono |
| collection | UGM |
| description | Customer segmentation, In a context of marketing, is a tool to support a company to provide unique needs of specific customer groups. In the power market, one of significant customer requirements appears i.e. power reliability. Considering the and responding to attitudes and behavioral factors of different groups of costumers can help the supplier to make marketing decissions. In this study a clustering technique with Genetic Algorithm (GA) is used to segment the electrical power market in Jakarta, Indonesia, from the customers' point of view. The research in this paper applied K-means clustering whose initial seeds are optimized by GA. The process of segmentation is also compare with other clustering algorithms k-means. The results revealed that GA based clustering technique may improve segmentation performance i.e. acuracy in comparison to other typical clustering algorithms. |
| first_indexed | 2024-03-13T19:11:47Z |
| format | Conference or Workshop Item |
| id | oai:generic.eprints.org:32767 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-13T19:11:47Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:327672014-03-05T01:35:58Z https://repository.ugm.ac.id/32767/ Algoritma Genetika untuk Meningkatkan Keakuratan Segmentasi Pelanggan listrik Hadi, Sasongko Pramono Warindi, Warindi Makalah prosiding Customer segmentation, In a context of marketing, is a tool to support a company to provide unique needs of specific customer groups. In the power market, one of significant customer requirements appears i.e. power reliability. Considering the and responding to attitudes and behavioral factors of different groups of costumers can help the supplier to make marketing decissions. In this study a clustering technique with Genetic Algorithm (GA) is used to segment the electrical power market in Jakarta, Indonesia, from the customers' point of view. The research in this paper applied K-means clustering whose initial seeds are optimized by GA. The process of segmentation is also compare with other clustering algorithms k-means. The results revealed that GA based clustering technique may improve segmentation performance i.e. acuracy in comparison to other typical clustering algorithms. 2011-07 Conference or Workshop Item PeerReviewed application/pdf en https://repository.ugm.ac.id/32767/1/34_-_Algoritma_Genetika_untuk_Meningkatkan_Keakuratan_Segmentasi_Pelanggan_listrik.pdf Hadi, Sasongko Pramono and Warindi, Warindi (2011) Algoritma Genetika untuk Meningkatkan Keakuratan Segmentasi Pelanggan listrik. In: Conference on Information technology and Electrical Engineering 2011, 28 Juli 2011, Yogyakarta, Indonesia. |
| spellingShingle | Makalah prosiding Hadi, Sasongko Pramono Warindi, Warindi Algoritma Genetika untuk Meningkatkan Keakuratan Segmentasi Pelanggan listrik |
| title | Algoritma Genetika untuk Meningkatkan Keakuratan Segmentasi Pelanggan listrik |
| title_full | Algoritma Genetika untuk Meningkatkan Keakuratan Segmentasi Pelanggan listrik |
| title_fullStr | Algoritma Genetika untuk Meningkatkan Keakuratan Segmentasi Pelanggan listrik |
| title_full_unstemmed | Algoritma Genetika untuk Meningkatkan Keakuratan Segmentasi Pelanggan listrik |
| title_short | Algoritma Genetika untuk Meningkatkan Keakuratan Segmentasi Pelanggan listrik |
| title_sort | algoritma genetika untuk meningkatkan keakuratan segmentasi pelanggan listrik |
| topic | Makalah prosiding |
| url | https://repository.ugm.ac.id/32767/1/34_-_Algoritma_Genetika_untuk_Meningkatkan_Keakuratan_Segmentasi_Pelanggan_listrik.pdf |
| work_keys_str_mv | AT hadisasongkopramono algoritmagenetikauntukmeningkatkankeakuratansegmentasipelangganlistrik AT warindiwarindi algoritmagenetikauntukmeningkatkankeakuratansegmentasipelangganlistrik |