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All Journal International Journal of Electrical and Computer Engineering ASEAN Journal of Systems Engineering Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Prosiding SNATIF Prosiding Semnastek Edu Komputika Journal Communications in Science and Technology Conference SENATIK STT Adisutjipto Yogyakarta Jiko (Jurnal Informatika dan komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Informasi Interaktif Respati IJITEE (International Journal of Information Technology and Electrical Engineering) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
Selo Sulistyo, Selo
Universitas Gadjah Mada
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
Review: Implementasi Holap Untuk Optimasi Query Sistem Basis Data Terdistribusi Dengan Pendekatan Algoritma Genetik Syaifudin, Rahmad; Selo, 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 (338.281 KB) | DOI: 10.21456/vol4iss3pp164-171

Abstract

Distributed Database is one of database that is under control of the Database Management System (DBMS) was focused on storage devices are separated from one and another. Optimization data query on distributed database system not be separated from data processing methods that used. Then for fast query optimization this database need some required methods that can optimize it. Hybrid online analytical processing (HOLAP) or often to call Hybrid-OLAP is one of technology for optimization query on distributed database. Genetic Algorithm is one of algorithm for heuristic searching was based on the mechanisms of biological evolution. Process of genetic algorithm is combining a selection process, using a crossover operator and mutation to get the best solution. From the reviews about implementation HOLAP with Genetic Algorithm approach was expected being used as a basis research on HOLAP implementation for query optimization on distributed database with genetic algorithm approach. Keywords : Query Optimization; Distributed database; HOLAP; OLAP; Genetetic algorithm.
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 Abobaker, Mostafa Adhistya Erna Permanasari Adi Sabwa Isti Besari Arkanuddin Agung R Pamungkas Ahmad Ashari Ahmad Ashari Ahmad Iwan Fadli Anggun Fitrian Isnawati Arya Sony Bagus Made Sabda Nirmala Bimo Sunarfri Hantono Catur Hendratmono Chris Agung Pramudi Dearisma Arfinda Ma'ruf Decky Setiawan Putra Dwi Susanto Eko Nugroho Eko Suripto Pasinggi Evans Fuad Hamka, Cakra Aminuddin Hamka, Cakra Aminuddin I Wayan Mustika Irma Permata Sari Jaeni Jaeni Jamhari Jamhari Johan Kemal Sahala Martua Lukito Edi Nugroho Maria Arista Ulfa Martua, Johan Kemal Sahala Mochammad Reza Ramadhan Muslikhin Hidayat Noor Husni Al-Mubarok Nurul Tiara Kadir Persada, Anugerah Galang Pramudi, Chris Agung Putranto, Adhy Rahmad Syaifudin, Rahmad Ridi Ferdiana Risanuri Hidayat Rubiyanto Ru Rudy Hartanto Sampurna Dadi Riskiono Sigit Wibowo Silmi Fauziati Sri Suning Kusumawardani Supriyono Supriyono Tatyantoro Andrasto Teguh Bharata Adji Tikaridha Hardiani Vera Suryani Wardani, Duati Wardani, Duati Warsun Najib Widyawan Yosua Alvin Adi Soetrisno