Article Per Year (5 Year)
p-Index From 2020 - 2025
3.907
P-Index
This Author published in this journals
All Journal JRAK: Jurnal Riset Akuntansi dan Komputerisasi Akuntansi Jurnal Informatika dan Teknik Elektro Terapan INTEKNA Proceeding SENDI_U JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL PETIK JSiI (Jurnal Sistem Informasi) KOMPUTIKA - Jurnal Sistem Komputer Jurnal Ilmu Komputer dan Bisnis JSR : Jaringan Sistem Informasi Robotik TIN: TERAPAN INFORMATIKA NUSANTARA Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) INVEST : Jurnal Inovasi Bisnis dan Akuntansi BEES: Bulletin of Electrical and Electronics Engineering Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) KINERJA : Jurnal Ekonomi dan Bisnis Proceedings of International Conference on Islamic Economic Finance and Social Finance
Suhendro, Dedi
Unknown Affiliation
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : BEES: Bulletin of Electrical and Electronics Engineering

 1 
Analisa Visualisasi Data Covid – 19 Di Indonesia Menggunakan Tableau Big Data Pangestu, Prayoga; Hartama, Dedy; Suhendro, Dedi; Damanik, Abdi Rahim; Oktaviani, Selli
BEES: Bulletin of Electrical and Electronics Engineering Vol 4 No 2 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bees.v4i2.4634

Abstract

This study explains the benefits of data analysis by visualization of Big data inoptimizing cases of the spread of COVID-19 in Indonesia. The data used is the COVID-19 Indonesia time series data from the Kaggle website. In this study, the author used tableau tools to analyze data based on worksheets of covid-19 distribution maps, COVID-19 statistics, details of active cases per province, death cases per province, active cases, death cases, confirmed cases and produced a dashboard of COVID-19 data. The results of the analysis obtained using visualizations in the form of graphs are very fast and optimize data processing so that they can find out which provinces are affected by active cases and deaths of COVID-19 from the highest to the lowest in Indonesia and can be used in decision and policy making for the Indonesian government.
Co-Authors Adriatasya, Sabila Putri Agus Perdana Windarto Annam, Rahmad Aulia, Della Batu Bara, Dinda Rizki Damanik, Abdi Rahim Hartama, Dedy Hasanah , Trismalia Hasibuan, Ade Septian Ilham Syahputra Saragih Irfan Sudahri Damanik Kusuma, Rudi M. Fauzan Nasution, Rizki Alfadillah Oktaviani, Selli Pangestu, Prayoga Poningsih, P Pramesti, Adinda Frizy Qurniawan, Hendry Ramadana, Rica S, Solikhun Safii, M Salis, Rahmi Saragih, Siti Nurmila Saragihi, Ilham Syahputra Siahaan, Nove Viktor Boyke Sinaga, Juwitha Lovely Sweets Sinaga, Sabrina Biutiqwin siti rodiah Sitiso , Hany Juliana Sitorus, Candra Wiranto Solikhun, S Suhada, S Tanjung, Jainuddin Tanjung, Sindi Raharjo wanurahman, Amaluddin