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All Journal Jurnal Sistem dan Informatika Jiko (Jurnal Informatika dan komputer) JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Jurnal Syntax Transformation Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Info Kripto
Nurul Qomariasih
Politeknik Siber Dan Sandi Negara
Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Journal : Jurnal Syntax Transformation

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Peramalan Kasus Covid-19 di DKI Jakarta dengan Model Arima Nurul Qomariasih
Jurnal Syntax Transformation Vol 2 No 06 (2021): Jurnal Syntax Transformation
Publisher : CV. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jst.v2i6.306

Abstract

February 2020 was the first time that Indonesian citizens were diagnosed with Covid-19. Until now, the disease caused by the Corona Virus has not subsided, it has even been declared a Global Pandemic. The purpose of this study was to find a Time Series prediction model for the number of positive cases of Covid-19 in one of the cities with the largest number of infections in Indonesia, namely Jakarta. This study uses data from Open Data Jakarta with a time span of 1 September 2020 to 30 November 2020. The model used is the Auto Regressive Integrated Moving Average (ARIMA). The resulting ARIMA parameters are (0,1,1), (1,1,0), and (1,1,1), but the best model is ARIMA (1,1,1) where all parameters are significant with p- value<α. The data used for training is 70% and 30% is used for testing. The resulting forecast value is very similar to the actual value. Thus, the model made is quite good in predicting positive cases of COVID-19 in Jakarta in the next month
Implementasi K-Means Clustering Analysis untuk Mengelompokkan Kelurahan-Kelurahan Di DKI Jakarta Berdasarkan Jumlah Positif Covid-19. Nurul Qomariasih
Jurnal Syntax Transformation Vol 2 No 07 (2021): Jurnal Syntax Transformation
Publisher : CV. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jst.v2i7.336

Abstract

Covid 19 is a disease caused by the Corona Virus, attacking the respiratory system, and worsening the condition of a person with congenital disease. Until now, the government has still determined the case of the COVID-19 outbreak as an emergency and established health protocols for its citizens. DKI Jakarta is one of the areas with the highest cases of covid 19. Therefore, this study is grouping or clustering urban villages in DKI Jakarta province into groups of urban villages with very high, medium, or low cases using the K-Means Clustering method . This grouping aims to provide information to the government and as one of the considerations in dealing with COVID-19 cases as well as prioritizing the provision of medical facilities and infrastructure. The K-Means Clustering study with standardized data using Euclidean distance succeeded in grouping urban villages in DKI Jakarta into 3 groups.
Co-Authors Galuh Dian Pradana Girinoto Herman Kabetta Hermawan Setiawan I Komang Setia Buana Buana I Komang Setia Buana, I Komang ismail sofyan tosany Nofrisal Dwi Syahputra Raden Budiarto Hadiprakoso Ray Novita Yasa Ray Novita Yasa