Analisa In Depth Online Analytical Processing (OLAP) Business Intelligence (BI) dengan Filter Inheritance pada Distribusi Sosial di Kecamatan Setiabudi
Article Sidebar
Main Article Content
Abstract
A lot of census data in the sub-district is very useful and helps the social service to provide social assistance in a sub-district. With this Business Intelligence system, it can help analyze information on providing social assistance with the help of using the Tableau Tools so that the information is more detailed and displays a graphic / dashboard visualization. This research is to analyze how certain people who receive social assistance for residents of Setiabudi sub-district, and each provision of social assistance will be collected from the sub-district and submitted to each sub-district to be able to data with certainty, using the number of data on the head of the family registered in Setiabudi District.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to JTIK journal and Research Division, KITA Institute as the publisher of the journal. Copyright encompasses rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations.
JTIK journal and Research Division, KITA Institute and the Editors make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in JTIK journal are the sole and exclusive responsibility of their respective authors and advertisers.
The Copyright Transfer Form can be downloaded here: [Copyright Transfer Form JTIK]. The copyright form should be signed originally and send to the Editorial Office in the form of original mail, scanned document or fax :
Muhammad Wali (Editor-in-Chief)
Editorial Office of Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Research Division, KITA Institute
Teuku Nyak Arief Street Nomor : 7b, Lamnyong, Lamgugop, Kota Banda Aceh
Telp./Fax: 0651-8070141
Email: jtik@lembagakita.org - journal@lembagakita.org
References
Gusti, A.I., Haryono, D. and Prasmatiwi, F.E., 2013. Analisis Pendapatan dan Tingkat Kesejahteraan Rumah Tangga Petani Kakao di Desa Pesawaran Indah Kecamatan Padang Cermin Kabupaten Pesawaran. JIA, 1(4), pp.278-283.
Syarli, S., Tamin, R. and Qashlim, A., 2018. Perancangan Business Intelligence System Pada Gudang Farmasi Dinas Kesehatan Kabupaten Mamasa. Jurnal Keteknikan dan Sains (JUTEKS), 1(1), pp.7-14.
Silvana, M. and Akbar, R., 2017. Pengembangan Model Business Intelligence Manajemen Rumah Sakit untuk Peningkatan Mutu Pelayanan (Studi Kasus: Semen Padang Hospital). JEPIN (Jurnal Edukasi dan Penelitian Informatika), 3(2), pp.124-133.
Putra, F.M. and Sari, R., 2016. Aplikasi Business Intelligence Dashboard sebagai Alat Monitoring dan Bahan Pengambilan Keputusan Sales and Account Receivable. MULTINETICS, 2(1), pp.35-42.
Husni, Z.N. and Mukhlash, I., 2014. Implementasi Business Intelligence Pada Manajemen Report Bank XYZ. Jurnal Sains dan Seni ITS, 3(2), pp.A16-A21.
Mustafid, M., 2016. Sistem business intelligence untuk mendukung perguruan tinggi yang kompetitif. JSINBIS (Jurnal Sistem Informasi Bisnis), 3(1), pp.18-24.
Ariani, T.R., Tania, K.D. and Indah, D.R., 2017. Penerapan Business Intelligence Pada Sistem Informasi Penjualan Barang PT. Winsa (Studi Kasus di PT. Winsa Palembang). KNTIA, 4.
Akbar, R., Oktaviani, R., Tamimi, S., Shavira, S. and Rahmadani, T.W., 2017. Implementasi Business Intelligence Untuk Menentukan Tingkat Kepopuleran Jurusan Pada Universitas. Jurnal Ilmiah Informatika, 2(2), pp.135-138.
Taufiqurrochman, T., Indrajit, R.E. and Fauzi, M., 2017. Penerapan Business Intelligence Dalam Pengambilan Keputusan Akademik Yang Tepat Untuk Perguruan Tinggi, Dengan Memanfaatkan Aplikasi Feeder PDDIKTI (Studi Kasus Pada Universitas Muhammadiyah Jakarta). Prosiding Semnastek.
Mustafid, M., 2016. Sistem business intelligence untuk mendukung perguruan tinggi yang kompetitif. JSINBIS (Jurnal Sistem Informasi Bisnis), 3(1), pp.18-24.
Firdaus, M.A., Putra, A. and Indah, D.R., 2014. Analisis Business Intelligence pada Pengelolaan Data Alumni: Upaya Mendukung Monitoring Kualitas Alumni di Perguruan Tinggi (Studi Kasus di Fakultas Ilmu Komputer Universitas Sriwijaya). Jurnal Generic, 8(2), pp.221-229.
Alviana, S. and Kurniawan, B., 2019. Analisis Data Penerimaan Mahasiswa Baru Untuk Meningkatkan Potensi Pemasaran Universitas Menggunakan Business Intelligence (Studi Kasus Universitas XYZ). Infotronik: Jurnal Teknologi Informasi dan Elektronika, 4(1), pp.10-15.
Utomo, C., 2019. Implementasi Business Inteligent dalam e-Tourism Bebrbasis Big Data. Jurnal Of Tourism and Creativity, 3, pp.163-178.
Setiyawan., 2013. Business Intelegence. Journal of Chemical Information and Modeling, 53(9), 1689–1699.
Imelda., 2008. Businnes Intelligence. Bisnis Intelligence, 11(Bisnis Intellijen), 111–122.
Putra, F.M. and Sari, R., 2016. Aplikasi Business Intelligence Dashboard sebagai Alat Monitoring dan Bahan Pengambilan Keputusan Sales and Account Receivable. MULTINETICS, 2(1), pp.35-42.
Adnyana, I. G., 2014. Analisis Perancangan Business Intelligence Berbasis Saas Cloud Computing. JST (Jurnal Sains Dan Teknologi), 2(2), 244–252.