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COVID-19, as a global pandemic, has spread across Indonesia. Jakarta, as the capital of Indonesia, is the province with the most positive cases. The government has issued various guidelines, both at the central and regional levels. Since it began in 2021, the planned new measures, called ‘Pemberlakuan Pembatasan Kegiatan Masyarakat Darurat’, or PPKM emergency public activity restrictions, began with the possibility that the number of active cases might decrease. Accordingly, global vaccinations were also carried out, as they were in Indonesia. However, the first phase prioritized frontline health workers and high-risk elderly people. This study conducted a causal impact analysis to determine the effectiveness of PPKM in Jakarta and its vaccination program against the increase in daily new cases. Based on this test, PPKM showed a significant effect on the addition of daily new cases and recovered cases. Conversely, the vaccination program only had a significant impact on recovered cases. A forecast of the COVID-19 cases was conducted and indicated that the daily new cases showed a negative trend, although it fluctuated for the next 7 days, while death and recovered cases continued to increase. Hence, it can be said that the vaccination program has still not shown its effectiveness in decreasing the number of daily new cases while PPKM is quite effective in suppressing new cases.
Toni Toharudin; Resa Pontoh; Rezzy Caraka; Solichatus Zahroh; Panji Kendogo; Novika Sijabat; Mentari Sari; Prana Gio; Mohammad Basyuni; Bens Pardamean. National Vaccination and Local Intervention Impacts on COVID-19 Cases. Sustainability 2021, 13, 8282 .
AMA StyleToni Toharudin, Resa Pontoh, Rezzy Caraka, Solichatus Zahroh, Panji Kendogo, Novika Sijabat, Mentari Sari, Prana Gio, Mohammad Basyuni, Bens Pardamean. National Vaccination and Local Intervention Impacts on COVID-19 Cases. Sustainability. 2021; 13 (15):8282.
Chicago/Turabian StyleToni Toharudin; Resa Pontoh; Rezzy Caraka; Solichatus Zahroh; Panji Kendogo; Novika Sijabat; Mentari Sari; Prana Gio; Mohammad Basyuni; Bens Pardamean. 2021. "National Vaccination and Local Intervention Impacts on COVID-19 Cases." Sustainability 13, no. 15: 8282.
Train is public transportation that is widely used by people in Indonesia. Due to the high level of comfort at a low price relatively. Based on released data by PT KAI, the number of train passengers has increased in almost every holiday season, thereby, it is suspected that there are seasonal patterns with fixed and random periods. In 2013, the government issued a policy related to infrastructure development, then, it caused the number of passengers significantly increasing in the following year. Thus, we need a model that can accommodate these patterns to forecast the number of train passengers accurately. The use of neural network methods such as Feed Forward Neural Network (FFNN), nowadays, becomes popular in facing big data including unexpected fluctuation on the data. Additionally, recently, Facebook announced an accurate method of forecasting, called Prophet model, for data which have trend, seasonality, holidays, and missing data. Hence, the forecast for monthly train passengers on this research is modelled by FFNN and Facebook Prophet. The result shows that Prophet performs better than FFNN. However, the difference in the value of MAPE is not too large.
Resa Septiani Pontoh; S Zahroh; H R Nurahman; R I Aprillion; A Ramdani; D I Akmal. Applied of feed-forward neural network and facebook prophet model for train passengers forecasting. Journal of Physics: Conference Series 2021, 1776, 012057 .
AMA StyleResa Septiani Pontoh, S Zahroh, H R Nurahman, R I Aprillion, A Ramdani, D I Akmal. Applied of feed-forward neural network and facebook prophet model for train passengers forecasting. Journal of Physics: Conference Series. 2021; 1776 (1):012057.
Chicago/Turabian StyleResa Septiani Pontoh; S Zahroh; H R Nurahman; R I Aprillion; A Ramdani; D I Akmal. 2021. "Applied of feed-forward neural network and facebook prophet model for train passengers forecasting." Journal of Physics: Conference Series 1776, no. 1: 012057.
Davila Rubianti Arundina; Bertho Tantular; Resa Septiani Pontoh. Multilevel poisson regression modelling for determining factors of dengue fever cases in bandung. STATISTICS AND ITS APPLICATIONS: Proceedings of the 2nd International Conference on Applied Statistics (ICAS II), 2016 2017, 1827, 20043 .
AMA StyleDavila Rubianti Arundina, Bertho Tantular, Resa Septiani Pontoh. Multilevel poisson regression modelling for determining factors of dengue fever cases in bandung. STATISTICS AND ITS APPLICATIONS: Proceedings of the 2nd International Conference on Applied Statistics (ICAS II), 2016. 2017; 1827 ():20043.
Chicago/Turabian StyleDavila Rubianti Arundina; Bertho Tantular; Resa Septiani Pontoh. 2017. "Multilevel poisson regression modelling for determining factors of dengue fever cases in bandung." STATISTICS AND ITS APPLICATIONS: Proceedings of the 2nd International Conference on Applied Statistics (ICAS II), 2016 1827, no. : 20043.