Application Of Business Intelligence in Decision Support in Providing Assistance to Business Actors in Deli Serdang Regency Using The Decision Tree Algoritm
Keywords:
Business Intelligence, Data Mining, Decision MakingAbstract
This research shows that the application of BusinessIntelligence can Increase accuracy and efficiency in decision – making process regarding the distribution of aid to business actors in Deli Serdang Regency. With the business Intelligence tools used, we are able to identify business actors who need the most hel and have the potential to grow and develop to become business actors who are on the rise. The results of data that has been managed and processed can show that the results of data produced can reduce inappropriate decision making and increase satisfaction for beneficiaries. It Is hoped that the implementation of Business Intelligence tools can become a role model for other regions in an effort to increase the empowerment of Business Actors.
References
Zein Afrizal (2023). Kecerdasan Bisnis Konsep dan Paradigma.Jurnal Ilmu Komputer JIK Vol VI No 03 November 2023, https://jurnal.pranataindonesia.ac.id/index.php/jik/article/download/173/119/436
Dodi Nofri Yoliadi (2023). Data Mining Dalam Analisis Tingkat Penjualan Barang Elektronik Menggunakan Algoritma K-Means .Insearch (Information System Research) Journal Volume 3, Nomor 1 Februari 2023. https://ejournal.uinib.ac.id/jurnal/index.php/insearch/article/view/5829
Sumarno & Mustafa Jauhari (2023). Sistem Pendukung Keputusan Dalam Menentukan Pemilihan Posisi Kepala Unit (KANIT) PPA dengan Metode Weight Product .Jurnal Sistem Informasi, Teknologi Informatika dan Komputer, Vol 11, Nomor 1. https://jurnal.umj.ac.id/index.php/just-it/article/view/4896
Patrisius Ando Duran, Anik Vega Vitianingsih, Moch. Syariful Riza, Anastasia Lidya Maukar, Seftin Fitri Ana Wati (2024). Data Mining Untuk Prediksi Penjualan Mengunakan Metode Simple Linier Regression .TEKNIKA, Vol 13, Nomor 1. https://ejournal.ikado.ac.id/index.php/teknika/article/view/712
Muhammad Rafi Nahjan, Nono Heryana, ApriadeVoutama (2023). Implementasi Rapidminer Dengan Metode Clustering K-Means untuk Analisa Penjualan pada took OJ Cell .Jurnal Mahasiswa Teknik Informatika, Vol 7, Nomor 1. https://ejournal.itn.ac.id/index.php/jati/article/view/6094
Apriyadi, Muhammad Ridwan Lubis, Bahrudi Efendi Damanik (2022). Penerapan Algoritma C5.0 Dalam menentukan Tingkat Pemahaman Mahasiswa Terhadap Pembelajaran Daring . Komputa Jurnal Ilmiah computer dan Informatika, Vol 11, Nomor 1. https://ojs.unikom.ac.id/index.php/komputa/article/view/7386
Atsna Himmatul Aliyah (2022). Peran Usaha Mikro Kecil dan Menengah (UMKM) Untuk Meningkat kan Kesejahteraan Masyarakat. Jurnal Ilmu Ekonomi, Vol 3, Nomor 1. https://jurnal.unsil.ac.id/index.php/welfare/article/download/4719/2264
Asmaul Husna Nasrullah (2021). Implementasi Algoritma Decision Tree untuk Klasifikasi Produk Laris. Jurnal Ilmiah Komputer , Vol 7, Nomor 2. https://www.neliti.com/id/publications/459443/implementasi-algoritma-decision-tree-untuk-klasifikasi-produk-laris
Rafael Nuansa Ramadhon, Aldino Ogi, Ari Permana Agung (2024). Implementasi Algoritma Decision Tree Untuk Klasifikasi Pelanggan Aktif Atau Tidak Aktif Pada Data Bank. Karimah Tauhid, Vol 3, Nomor 2. https://ojs.unida.ac.id/karimahtauhid/article/view/11952
Benny Haddi Irawan, Nugroho Ariyanto, Nisrina Afifah Novianti, Hanifah Widiastuti, Fedia Restu, Nurul Laili Arifin (2022). Penggunaan Power BI Untuk Pengolahan Data Non Conformance Material. Jurnal Teknologi dan Riset Terapan JATRA, Vol 4, Nomor 2. https://jurnal.polibatam.ac.id/index.php/JATRA/article/view/3885
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