KETEPATAN PREDIKSI K-NEAREST NEIGHBOR PADA DATA COVID-19 DI DKI JAKARTA SERTA VISUALISASINYA BERBASIS WEB

Rizal Menaldy, Rizal (2021) KETEPATAN PREDIKSI K-NEAREST NEIGHBOR PADA DATA COVID-19 DI DKI JAKARTA SERTA VISUALISASINYA BERBASIS WEB. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

The Covid-19 data was taken from the number of sufferers throughout DKI Jakarta from the DKI Jakarta Open Data Covid-19, which was a total of 26 attributes and several attributes were taken into 5 attributes, namely the number of urban village id_, suspect, probable, travel_actor, and discarded. This study specializes in the DKI Jakarta area for research, because DKI Jakarta itself is the area or province most affected by the Covid-19 outbreak. The purpose of this study is to predict the number of Covid-19 sufferers in DKI Jakarta using K-Nearest Neighbor. In the final result, the prediction accuracy of 46.217% accuracy value was obtained from the initial date of the data from August 01, 2020 to August 31, 2020 and the date of the final training data August 23, 2020.

Item Type: Thesis (Skripsi)
Additional Information: 1410511028 Pembimbing 1 : Dr. Ermatita, M.Kom. Pembimbing 2 : Noor Falih, S.Kom., M.T. Penguji 1 : Yuni Widiastuti, S.kom.,MSi Penguji 2 : Ati Zaidiah, S.kom., MSi.
Uncontrolled Keywords: Covid-19, K-Nearest Neighbor, Open, atribut, probable, discarded.
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: Rizal Menaldy
Date Deposited: 07 Jun 2022 03:42
Last Modified: 07 Jun 2022 03:42
URI: http://repository.upnvj.ac.id/id/eprint/17881

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