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This paper attempts to develop statistical modeling for air-conditioning analysis in Jakarta, Indonesia, during an emergency state of community activity restrictions enforcement (Emergency CARE), using a variety of parameters such as PM10, PM2.5, SO2, CO, O3, and NO2 from five IoT-based air monitoring systems. The parameters mentioned above are critical for assessing the air quality conditions and concentration of air pollutants. Outdoor air pollution concentration variations before and after the Emergency CARE, which was held in Indonesia during the COVID-19 pandemic on July 3-21, 2021, were studied. An air quality monitoring system based on the IoT generates sensor data that is collected from a government-integrated data portal, and that can be analyzed statistically. There are two main types of ANOVA (Analysis of Variance): one-way (or unidirectional) and two-way, which are applied to the collected sensor data and hypotheses calculated using ANOVA. ANOVA one-way was found to be more effective for analyzing air quality condition data. During emergency CARE, the average concentrations of PM10, PM2.5, and O3 from the air quality monitoring system show values that have exceeded the standard Air Quality Index (AQI), while the concentrations of CO, NO2, and SO2 are still below the applicable AQI values. It stated that air pollution in Jakarta worsened during the implementation of Emergency CARE. [ABSTRACT FROM AUTHOR]

It is increasingly urgent to consider how work conditions have shifted with neoliberal transformations and, more recently, the COVID-19 pandemic. The precarious nature of work faced by millennials is widely acknowledged in the academic literature, but few scholars consider how spirituality is intimately connected to the multiple labour market challenges in the Global South. This paper uses sequential mixed methods to depict the social realities of millennials living in Jakarta, Indonesia. Importantly, precarity has become more entrenched into the nature of work during the pandemic, through the passage of the 2020 Job Creation Law. Precarious millennials in this Muslim-majority city use spiritual lexicons as coping strategies, as these help urban millennials to accept (ikhlas) the gradual disappearance of financially rewarding jobs and dwindling prospects for upward mobility in the formal economy. While spiritual narratives might seem religiously specific, they are useful for both Muslim and non-Muslim millennials to respond to broader and systemic job insecurity. [ABSTRACT FROM AUTHOR]

This research is among the first pieces of work to use the comprehensive school safety (CSS) framework to assess the impacts of floods on quality learning and education infrastructure. The CSS framework is employed here to identify the level of disruption to education services following floods in Jakarta, Indonesia, in 2013. The paper poses three key questions, concerning: (i) disruption to children's access to quality education during the flood emergency in 2013 and the early recovery phase; (ii) the impact of the floods on a school's physical infrastructure; and (iii) the effectiveness and level of success of the 2013 flood responses by relevant stakeholders. Combining quantitative and qualitative strategies, the paper examines the experiences of 100 schools in Jakarta. The findings suggest that the CSS framework offers a more nuanced approach to assessing post‐disaster education needs. Moreover, it is also relevant for examining the relationship between the COVID‐19 pandemic and relative losses in the education sector. [ABSTRACT FROM AUTHOR]

This paper examines the importance of legacy as a hidden agenda behind the ambitions and haste attitude of Indonesian state leaders in relocating the capital. It also elucidates the institutional mechanisms employed to achieve this lofty goal. In 2019, President Joko Widodo (Jokowi) issued a controversial declaration on the relocation of Indonesia's capital city from Jakarta to Kalimantan Island. Despite the protracted COVID-19 pandemic and the prevailing global economic and geopolitical uncertainties, he marshalled all necessary means and resources under his command to ensure the capital megaproject could commence and the inauguration could be held before his presidential tenure ends in 2024. As formal and technical arguments for Indonesia's capital relocation have been criticised for inconsistencies, a comprehensive understanding of the real phenomenon necessitates an exploration of the hidden agendas behind this unpopular move. The argument posits that the new capital city serves as a megaproject legacy, signified by the construction of monumental and iconic buildings and structures that will reflect the enduring power and memories of the politicians. Furthermore, the institutional mechanisms of the megaproject legacy tend to be pragmatic, whereby quick, concrete and symbolic actions become the top priority at the expense of the quality of the planning process and outcome. • This paper explores megaproject legacy as a hidden agenda behind capital relocation. • Indonesia's capital relocation can manifest a megaproject legacy. • Official motives for capital relocation are criticized for inconsistencies. • Capital cities reflect state leaders' ambitions and enduring power and memories. • Megaproject legacy building involves pragmatic uses of institutional mechanisms. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) has been a global disaster, with over 746,312 confirmed cases and still counting in Indonesia, especially Jakarta, which has about 50 per cent asymptomatic confirmed cases. This paper aims to investigate the persistent factors of COVID-19 diagnosis using four scenarios of asymptomatic inclusion. We use Bayesian Logistic Regression to identify the factors of COVID-19 positivity, which can address issues in the traditional approach such as overfitting and uncertainty. This study discovers three main findings: (1) COVID-19 can infect people regardless of age; (2) Among twelve symptoms of coronavirus (COVID-19), five symptoms increase the COVID-19 likelihood, and two symptoms decrease the possibility of COVID-19 infection; and (3) From an epidemiological perspective, the contact history rises the probability of COVID-19, while healthcare workers and people who did travel are less likely to become infected from COVID-19. Therefore given this study, it is essential to be attentive to the people who have the symptoms and contact history. Surprisingly, health care workers and travelers who apply health protocols strictly according to the rules have a low risk of COVID19 infection. [ABSTRACT FROM AUTHOR]

The SARS-CoV-2 outbreak that started in China created COVID-19 pandemic all around the world. This pandemic is declared as a world health crisis by the World Health Organization in 2020. In response to this pandemic, many countries have been conducting various measures to manage the spread of the disease employing lockdown, contacts tracing, and massive testing. As the vaccine and medicine for this virus are under development, the governments all around the world can only apply non-curative measures. With many considerations, especially in the economic sector, governments seem hesitant to apply extensive control measures and this results in a considerable financial loss. In this paper, a generic mathematical model with thirteen compartments is developed, of which it is equipped with five control measures namely quarantine, active carrier identification, recovered individual identification, past infection identification, and medical treatment. We employ the COVID-19 outbreak in Jakarta as a study case to evaluate a series of control scenarios. Optimal control approach is used to find the best control strategy in managing the pandemic. It is suggested that adding the efforts on testing policy and medical treatment 40 days after the first confirmed infection is the most cost-effective strategy with the number of death decreased as much as 60.21 percent of the death cases under initial control strategy. [ABSTRACT FROM AUTHOR]