VISUALISASI PERSEBARAN OBAT MENGGUNAKAN VISUAL DATA MINING (VDM) STUDI KASUS PADA PT. BERNOFARM WILAYAH LAMPUNG
VISUALISASI PERSEBARAN OBAT MENGGUNAKAN VISUAL DATA MINING (VDM) STUDI KASUS PADA PT. BERNOFARM WILAYAH LAMPUNG
Abstract
Data visualization is a general term that describes any attempt to help people understand the significance of data by placing data in a visual context. Although it may seem simple, there are many benefits to visualizing data, from making data easier to understand, finding hidden patterns in data, to reading data more accurately and quickly. Thus, the use of visualization techniques on the distribution of drug data at PT. BernoFarm can find out and analyze the trend level of types of drugs, mainstay products, distribution areas, number of distributions of drugs in an area, places and marketing patterns, as well as identify distribution problems quickly and optimally. Several previous studies for the distribution of data usually use the Visual Data Mining (VDM) method from that study, which states that using the Visual Data Mining (VDM) method has the advantage of being able to explore data that has various characteristics and has a large amount of data in the form of a more comprehensive visualization. interesting and easy to understand.
Downloads
References
[2] Aryanti Dessy, Setiawan Johan. (2018). Visualisasi Data Penjualan dan Produksi PT. Nitto Alam Indonesia Periode 2014-2018.Jurnal Ilmiah, Universitas Multimedia Nusantara.
[3] Friendly, M., “Milestones in the History of ThematicCartography, Statistical Graphics, and Data Visualization”,http://www.math.yorku.ca/SCS/Gallery/milestone/milestone.pdf Diakses pada 28 Mei 2022
[4] Few, S., “Eenie, Meenie, Minie, Moe: Selecting the RightGraph for Your Message”,http://www.perceptualedge.com/articles/ie/the_right_graph.pdf Diakses Pada 28 Mei 2022
[5] Widjaja Kevin.2020.Visualisasi Data Penjualan Mobil Berdasarkan Tipe Mobil di Indonesia Periode Tahun 2015-2020 dan Prediksi Tahun 2021. Universitas Multimedia Nusantara
[6] Fernando, D. (2018). Visualisasi Data Menggunakan Google Data Studio. Prosiding Seminar NasionalRekayasa Teknologi Informasi (SNARTISI)
[7] Rahardja, U., Aini, Q., & Enay, N. (Vol. 7, No. 2, 2017).Optimalisasi Dashboard pada Sistem PenilaianUjian Mahasiswa Sebagai Media Informasi Perguruan Tinggi. Jurnal Ilmiah SIFONIKA.
[8] Stuart K. Card, Jock D.Mackinlay, Ben Shneiderman (1998). Readings in Information Visualization: Using Vision to Think, Morgan Kaufmann Publishers.
[9] McCormick, E. J. (1987). Human Factor in Engineering and Design, Singapura: McGraw-Hill Chong Moh, Ltd
[10] Subagyo, Nur Aini, Indra. (2018). Akuntansi Manajemen Berbasis Desain. Gadjah Mada University Press.Yogyakarta.
[11] Kementerian Kesehatan RI. (2010). Peraturan Menteri Kesehatan Republik Indonesia Nomor Hk.02.02/Menkes/068/I/2010 Tentang Kewajiban Menggunakan OGB Di Fasilitas Pelayanan Kesehatan Pemerintah. Jakarta Kementerian Kesehatan RI
[12] Santosa, B., (2007). Data Mining Teknik Pemanfaatan Data Untuk Keperluan Bisnis.Pertama penyunt. Yogyakarta: GRAHA ILMU
[13] Susanto, S. & Suryadi, D., (2010).Pengantar Data Mining Menggali Pengetahuan dari Bongkahan Data.1 penyunt. Yogyakarta: ANDI.
