Analisa Data API Pasien Covid-19 di Dunia menggunakan Power BI

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Achmad Syirod
Agung Triayudi
Ira Diana Sholihati

Abstract

Passing a year since the start of the Covid-19 pandemic, it has taken many lives and changed the way humans interact and navigate the world. Although the use of vaccines is implemented, the number of victims continues to grow in the world. Information about Covid-19 data is spread in every country, so there is a need for a place to view the data quickly, accurately, and flexibly between applications. By using the API method or Application Programming Interface, the data can be obtained via the internet. At this stage, the research is carried out through system planning, data collection, and data analysis. From the results of the research, it is known that Power BI is able to pull and process the Covid-19 API data into various kinds of graphs. Then from the results of these graphs, it can be concluded that for the total cases, the total recoveries and the total deaths were held by the USA (United States). For the highest total new cases by the state of India. Then for the highest percentage of the total cases by continent held by the Asian continent.

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How to Cite
Syirod, A., Triayudi, A., & Sholihati, I. D. (2022). Analisa Data API Pasien Covid-19 di Dunia menggunakan Power BI. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 6(1), 138–144. https://doi.org/10.35870/jtik.v6i1.386
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Author Biographies

Achmad Syirod, Universitas Nasional

Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

Agung Triayudi, Universitas Nasional

Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

Ira Diana Sholihati, Universitas Nasional

Program Studi Sistem Informasi, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional

References

Fu, H., Hereward, M., MacFeely, S., Me, A. and Wilmoth, J., 2020. How COVID-19 is changing the world: A statistical perspective from the Committee for the Coordination of Statistical activities. Statistical Journal of the IAOS, (Preprint), pp.1-10.

Sinuraya, I., Triayudi, A. and Sholihati, I.D., 2020. Covid-19 Diagnosis Based Android Mobile Application using Certainty Factor Method. Sisfotenika, 10(2), pp.203-213.

Grahl, M., Bluhm, T., Grün, M., Hennig, C., Holtz, A., Krom, J.G., Kühner, G., Laqua, H., Lewerentz, M., Riemann, H. and Spring, A., 2017. Archive WEB API: A web service for the experiment data archive of Wendelstein 7-X. Fusion Engineering and Design, 123, pp.1015-1019.

Paramartha, A.G.Y., Suryaningsih, G.K. and Aryanto, K.Y.E., 2017. Implementasi Web Service pada Sistem Pengindeksan dan Pencarian Dokumen Tugas Akhir, Skripsi, dan Praktik Kerja Lapangan. JST (Jurnal Sains dan Teknologi), 5(2).

Akbar, R., Rasyiddah, D., Anrisya, M., Julyazti, N.F. and Syaputri, S., 2018. Penerapan Aplikasi Power Business Intelligence Dalam Menganalisis Prioritas Pekerjaan di Indonesia. J. Edukasi dan Penelit. Inform, 4(1), p.54.

Yumni, S.Z. and Widowati, W., 2021. Implementasi Microsoft Power BI Dalam Memantau Kehadiran dan Transportasi Pegawai. Jurnal Sains dan Edukasi Sains, 4(1), pp.1-8.

Murray, S., 2017. Interactive data visualization for the web: an introduction to designing with D3. " O'Reilly Media, Inc.".

Wu, C., Yi, Chen. Sung, Ching. Chan. Jiun, Yu. (2020). The outbreak of Covid-19: An overview. Journal of the Chinese Medical Association, 83(3), pp.217-220.

Yunas, R.A.D., Triayudi, A. and Sholihati, I.D., 2021. Implementasi Sistem Pakar untuk Mendeteksi Virus Covid-19 dengan Perbandingan Metode Naïve Bayes dan Certainty Factor. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5(3), pp.338-345.

Jin, B., Sahni, S. and Shevat, A., 2018. Designing Web APIs: Building APIs That Developers Love. " O'Reilly Media, Inc.".

Choirudin, R. and Adil, A., 2019. Implementasi Rest Api Web Service dalam Membangun Aplikasi Multiplatform untuk Usaha Jasa. MATRIK: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, pp.284-293.

Riyanto, S. and Hatmawan, A.A., 2020. Metode Riset Penelitian Kuantitatif Penelitian Di Bidang Manajemen, Teknik, Pendidikan Dan Eksperimen. Deepublish.

Setyawan, B., 2017. Visualisasi Dashboard Power BI dan Peramalan Jumlah Kasus Demam Berdarah Dengue di Kabupaten Malang Menggunakan Metode Artificial Neural Network (Doctoral dissertation, Institut Teknolgi Sepuluh Nopember).

Aspin, A., 2016. Pro Power BI Desktop. Apress.

Sosulski, K., 2018. Data visualization made simple: insights into becoming visual. Routledge.

Darman, R., 2018. Analisis Visualisasi dan Pemetaan Data Tanaman Padi di Indonesia Menggunakan Microsoft Power BI. Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi, 4(2), pp.156-162.

Sarosa, S., 2017. Penelitian Kualitatif Dasar-Dasar Edisi Kedua. Jakarta: Indeks.

Silalahi, U., 2018. Metodologi analisis data dan interpretasi hasil untuk penelitian sosial kuantitatif., 1st ed. Bandung: PT. Refika Aditama, 2018.

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