Implementasi Business Intelligence Untuk Menganalisis Data Penyakit Diabetes Menggunakan Platform Tableau
Keywords:
Diabetes, Dataset, Business Intelligence, TableauAbstract
Diabetes is a chronic metabolic disorder with multi-etiology characterized by high levels of sugar and is the result of insufficiency of insulin function present in the human body. The purpose of this article is to visualize and find out the rate of diabetes cases around the world based on the age range of the dataset that has been concentrated by implementing Business Intelligence to display confirmed case data, both in pregnancy, Body Mass Index (BMI), and blood pressure. The motto used is to process the world dataset from the www.kaggle.com data platform, this dataset is processed using the tableau desktop platform. The results of this article are in the form of reports in the form of Dashboards such as the number of confirmed cases both in pregnancy, Body Mass Index (BMI), and blood pressure that exist in the world and can be used to support a decision making. The interface display of the processed dataset is the result of an interestingly formed analysis, using an interactive Dashboard provided by tableau so that the data can be displayed attractively.
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References
A. M. Argina, “Penerapan Metode Klasifikasi K-Nearest Neigbor pada Dataset Penderita Penyakit Diabetes,” Indones. J. Data Sci., vol.
, no. 2, pp. 29–33, 2020, doi: 10.33096/ijodas.v1i2.11.
N. Aktifah, F. Faradisi, and D. Fijianto, “Increased Diabetic Neuropaty Scores and Their Relationship with Body Mass Index Hubungan Peningkatan Diabetik Neuropati Skor dengan Indeks Massa Tubuh,” vol. 2, no. 1, pp. 9–14, 2022.
S. D. Suryanti, A. T. Raras, C. Y. Dini, and A. H. Ciptaningsih, “Hubungan Indeks Masa Tubuh Dengan Kadar Gula Darah Puasa Pada Pasien Diabetes Melitus Tipe 2,” Poltekita J. Ilmu Kesehat., vol. 13, no. 2, pp. 86–90, 2019.
P. Afikah, I. R. Affandi, and F. N. Hasan, “Implementasi Business Intelligence Untuk Menganalisis Data Kasus Virus Corona di Indonesia Menggunakan Platform Tableau,” Pseudocode, vol. 9, no. 1, pp. 25–32, 2022, doi: 10.33369/pseudocode.9.1.25-32.
M. Ariandi et al., “Analisis Visualisasi Data Kecamatan Kertapati menggunakan,” vol. 14, no. 2, pp. 366–373, 2022.
W. A. Safitri, F. Hadi, and S. A. Lusinia, “Penerapan Business Intelligence Dalam Upaya Menigkatkan Penjualan dan Pemasaran Pakaian Pada CV. Ryan Bali Garment Berbasis Web,” J. KomtekInfo, vol. 8, no. 4, pp. 220–224, 2021, doi: 10.35134/komtekinfo.v8i4.178.
A. Hermawan and K. I. Sim, “Business Intelligence Dashboard of Food Sales Based on Key Performance Indicator Case Study: Xyz Cinema,” JTKSI (Jurnal Teknol. Komput. dan …, vol. 03, no. 03, 2020, [Online]. Available: https://www.researchgate.net/profile/AditiyaHermawan/publication/344770926_Business_Intelligence_Dashboard_of_Food_Sales_Based_on_Key_Performance_Indicator_Case_Study_Xyz_Cinema/links/5f8eb269a6fdccfd7b6ea25f/Business-Intelligence-Dashboard-of-FoodSales.
D. Saepuloh, “Visualisasi Data Covid 19 Provinsi DKI Menggunakan Tableau,” J. Ris. Jakarta, vol. 13, no. 2, pp. 55–64, 2020, doi: 10.37439/jurnaldrd.v13i2.37.
K. Kurniawan and D. Antoni, “Visualisasi Data Penduduk Dalam Membangun Egovernment Berbasis Sistem Informasi Geografis (GIS),” J. Sisfokom (Sistem Inf. dan Komputer), vol. 9, no. 3, pp. 310–316, 2020, doi: 10.32736/sisfokom.v9i3.828.
F. Yusuf, D. Hermawan, and A. Ilham, “Implementasi Dashboard Instrumen Akreditasi 9 Kriteria BAN PT Berbasis Web pada Program Studi Sistem Informasi Fakultas Sains & Teknologi UIN Alauddin Makassar,” vol. 07, no. 03, pp. 169–172, 2022.
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