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All Journal Sainteks Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Jurnal Pseudocode Jurnal Pengabdian UntukMu NegeRI SISFOTENIKA Network Engineering Research Operation [NERO] INOVTEK Polbeng - Seri Informatika Conference SENATIK STT Adisutjipto Yogyakarta Jurnal Teknologi Informasi MURA CYBERNETICS Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Building of Informatics, Technology and Science International Journal of Informatics and Computation JATI (Jurnal Mahasiswa Teknik Informatika) Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Information System Journal (INFOS) Melek IT: Information Technology Journal Ilmu Komputer untuk Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks) PELS (Procedia of Engineering and Life Science) Digital Transformation Technology (Digitech) International Journal of Health Science and Technology Jurnal Teknologi Informasi Mura NERO (Networking Engineering Research Operation)
Tikaridha Hardiani
Universitas Aisyiyah Yogyakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : JURNAL SISTEM INFORMASI BISNIS

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Kajian Data Mining Customer Relationship Management pada Lembaga Keuangan Mikro Hardiani, Tikaridha; Sulistyo, Selo; Hartanto, Rudy
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 3 (2014): Volume 4 Nomor 3 Tahun 2014
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (307.159 KB) | DOI: 10.21456/vol4iss3pp181-186

Abstract

Companies are required to be ready to face the competition will be intense with other companies, including micro-finance institutions. Faced more intense competition, has led to many businesses in microfinance institutions find profitable strategy to distinguish from the others. Strategy that can be applied is implementing Customer Relationship Management (CRM) and data mining. Data mining can be used to microfinance institutions that have a large enough data. Determine the potential customers with customer segmentation can help the decision-making marketing strategy that will be implemented . This paper discusses several data mining techniques that can be used for customer segmentation. Proposed method of data mining technique is fuzzy clustering with fuzzy C-Means algorithm and fuzzy RFM. Keywords : Customer relationship management; Data mining; Fuzzy clustering; Micro-finance institutions; Fuzzy C-Means; Fuzzy RFM
Co-Authors Adam, Nurul Tazkiyah Agil Setyo Prasandi Amalia Nur Afifah Choiruddin Edowardo, Muhamad Irfan Eka Noviani, Nor Firdonsyah, Arizona Gunawan Ediyasanto, Rahmat Indah, Mahrunisa Lutfandita Landistyas Maskhuri, Alip Mita Permatasari, Mita Muhammad Ircham Maulana Nurrohman, Muhammad Yusuf Nurul Latifah Priyatno, Fadhil Alif Putri Silmina, Esi Putri, Regina Noviyanti Rudy Hartanto Sadr Lufti Mufreni Salsyabila Vidia Nur Afni Selo Sulistyo, Selo Silmina, Esi Putri Silmina, Esi Putri Sodik Habibulloh, Akmal Sri Lestari Linawati Wahyu Fajri Wijayanto, Danur Zahra Arwananing Tyas