Determinants of Household Food Security during the COVID-19 Pandemic in Indonesia

The COVID-19 pandemic has impacted national and household food security in Indonesia. The objectives of this study were to: (1) identify the socio-economic characteristics of Indonesian households related to food security, (2) analyze the factors that have affected household food security during the COVID-19 pandemic, and (3) provide recommendations for improving programs to increase household food security. The study was conducted in eight provinces in Indonesia, namely North Sumatra, Lampung, West Java, Central Java, East Java, South Kalimantan, South Sulawesi, and West Nusa Tenggara. Data collection was carried out from April to July 2020. The results showed that 50.63% of the households surveyed were food insecure. The binary-logit-regression-model results showed that variables of gender, age, family size, education, occupation, income, and expenditure on food had a significant effect on household food security status. Variables that had a positive influence on household food security were gender, age, education, occupation, income, and food expenditure. On the other hand, household size had a negative effect on household food security. The marginal effect of gender was 0.035, age was 0.058, education was 0.192, type of work was 0.016, income level was 0.521, and food expenditure was 0.114, while for the number of family members the marginal effect was 15.725. This study was conducted in eight provinces affected by COVID-19, using the Household-Food- Insecurity-Access-Scale and binary-logit model approaches, which had never been performed before. Policy and program recommendations for increasing household food security in Indonesia are presented. © 2023 by the authors.

Covid-19 Pandemic and its Impact on Orthodontic Patients in Lahore, Pakistan

Objectives: To determine the effect COVID-19 pandemic had on orthodontic patients during the lockdown phase as well as to determine the knowledge of patients regarding the COID-19 disease, its spread, its symptoms, and its prevention. Methodology: This was a cross-sectional descriptive study. It was carried out by distributing a self-administered questionnaire to 300 patients undergoing orthodontic treatment via electronic mail and whatsapp platfortm. The questionnaire assessed the knowledge of the patient regarding the COVID-19 disease, the impact it had on their orthodontic treatment, and their perception of risk and their attitude towards the COVID-19 disease. Result(s): 274 out of 300 patients responded to our questionnaires;Out of them 73% were females and 47.3% were males. A large number of patients were able to correctly identify the cause, spread, symptoms, and necessary measures needed to be taken to contain the disease. Although majority of the patients considered COVID-19 to be severely dangerous and felt highly vulnerable to the disease;54.5% were still willing to continue their treatment during the pandemic. The main reason for their willingness was the fear of increased missed appointments leading to increase in treatment time and cost. Conclusion(s): The pandemic has had an adverse impact on orthodontic treatment regardless. Nevertheless, patients were still inclined to continue their treatment with appropriate infection control and precautionary measures observed both by the patients themselves and the orthodontic clinical staff. Copyright © 2022 Lahore Medical And Dental College. All rights reserved.

Geographical variations and district-level factors associated with COVID-19 mortality in Indonesia: a nationwide ecological study.

BACKGROUND: Ensuring health equity, especially for vulnerable populations in less developed settings with poor health system is essential for the current and future global health threats. This study examined geographical variations of COVID-19 mortality and its association with population health characteristics, health care capacity in responding pandemic, and socio-economic characteristics across 514 districts in Indonesia. METHODS: This nationwide ecological study included aggregated data of COVID-19 cases and deaths from all 514 districts in Indonesia, recorded in the National COVID-19 Task Force database, during the first two years of the epidemic, from 1 March 2020 to 27 February 2022. The dependent variable was district-level COVID-19 mortality rate per 100,000 populations. The independent variables include district-level COVID-19 incidence rate, population health, health care capacity, and socio-demographics data from government official sources. We used multivariable ordinal logistic regression to examine factors associated with higher mortality rate. RESULTS: Of total 5,539,333 reported COVID-19 cases, 148,034 (2.7%) died, and 5,391,299 (97.4%) were recovered. The district-level mortality rate ranged from 0 to 284 deaths per 100,000 populations. The top five districts with the highest mortality rate were Balikpapan (284 deaths per 100,000 populations), Semarang (263), Madiun (254), Magelang (250), and Yogyakarta (247). A higher COVID-19 incidence (coefficient 1.64, 95% CI 1.22 to 1.75), a higher proportion of ≥ 60 years old population (coefficient 0.26, 95% CI 0.06 to 0.46), a higher prevalence of diabetes mellitus (coefficient 0.60, 95% CI 0.37 to 0.84), a lower prevalence of obesity (coefficient -0.32, 95% CI -0.56 to -0.08), a lower number of nurses per population (coefficient -0.27, 95% CI -0.50 to -0.04), a higher number of midwives per population (coefficient 0.32, 95% CI 0.13 to 0.50), and a higher expenditure (coefficient 0.34, 95% CI 0.10 to 0.57) was associated with a higher COVID-19 mortality rate. CONCLUSION: COVID-19 mortality rate in Indonesia was highly heterogeneous and associated with higher COVID-19 incidence, different prevalence of pre-existing comorbidity, healthcare capacity in responding the pandemic, and socio-economic characteristics. This study revealed the need of controlling both COVID-19 and those known comorbidities, health capacity strengthening, and better resource allocation to ensure optimal health outcomes for vulnerable population.

The Prototype of Healthy Smart Building Based on Google Assistant

Coronaviruses are a group of viruses from the subfamily Orthocronavirinae in the Coronaviridae family and the order Nidovirales. In general, the transmission of this virus occurs through droplets or body fluids splashed on someone or objects around them within 1-2 meters' distance away through coughing and sneezing. Office buildings, cafes, and shopping areas are one of the clusters for spreading the coronavirus because the following places lack awareness of health protocols. This research will create a healthy and Smart Building system where this system consists of two devices from the following problems. The first device is a health procedures checker system where using an ultrasonic sensor as an automatic switch can provide a hand sanitizer as the first step to kill viruses. The GY609 sensor is used, which can measure the temperature of visitors without touching it. The second system is the Smart Switch;the doors and lights can control using voice using google assistant to minimize the doorknob's touch or the light switch. The healthy and Smart building test results are for the intelligent, healthy procedures system, 3-7 cm is the optimal distance from the hand to the sensor, 5cm is the distance from the hand to the temperature sensor, and the motor working time is 1 second. For the Smart switches, the recommended network system is 3G, 4G, or Wi-Fi to avoid excessive delays. © 2022 IEEE.

COVID-19’s Impact on Fintech Adoption: Behavioral Intention to Use the Financial Portal

As Fintech has grown exponentially in recent years, several researchers have examined how information technology is applied in the financial services sector, with a focus on the extended practice of its application. However, fewer studies have investigated the factors influencing the acceptance of Fintech services. In order to examine how consumers adopt Fintech services, this research presents an enhanced technology acceptance model (TAM) that integrates perceived usefulness, perceived ease of use, user innovativeness, and trust as factors of attitude towards using Fintech platforms and behavioral intention to use Fintech platforms. The questionnaires were sent to 867 of Portal MyAzZahra’s customers, and 273 complete questionnaires were received. The data were then analyzed to comprehend whether the proposed hypotheses were accepted or rejected. The findings depict that consumers’ trust, perceived ease of use, and customer innovation in Fintech services substantially impact the attitude towards adoption and behavioral intention to use the Fintech online platform. However, perceived usefulness does not significantly influence the attitude towards adoption and the behavioral intention to use the online loan aggregator. By integrating these factors into Fintech services with TAM, this study adds to the literature on adopting Fintech services by offering a more holistic perspective of the factors affecting consumers’ attitudes. © 2022 by the authors.

Association of Respiratory Tract Infections causing Alterations in Lung Parenchyma and Pulmonary Vasculature with Body Electrolyte Imbalance

Aim: The assessment of serum electrolytes at the time of initial presentation of the patient with respiratory tract infection possibly causing lung parenchyma and pulmonary vasculature damage and serial monitoring during the stay could be beneficial in order to determine when and how to take remedial action when necessary. Methodology: A non-probability sampling was done on 139 subjects with suspected respiratory tract infection. For confirmation, culture, MTB PCR, COVID-19 testing was done to diagnose the nature of infection. Serum electrolytes were tested on chemical analyses Alinity instrument. Results: Most common infections found were COVID-19 and bacterial (n=59) collectively in a co-morbid state. Mycobacterium tuberculosis and fungal infections were also found in (n=8) each. Electrolytes imbalance was markedly observed in high prevalence amongst Tuberculosis and COVID-19 patients but also showed significant association with other respiratory investigated infections. Conclusion: A robust association of electrolyte imbalance was found in all cases presented with upper or lower respiratory tract infections.

Heterogeneity and district-level factors associated with COVID-19 mortality during three epidemic waves in Indonesia: a nationwide ecological study (preprint)

Introduction Ensuring health equity, especially for vulnerable populations in less developed settings with poor health system is essential for the current and future global health threats. This study examined the heterogeneity of COVID-19 mortality and its association with population health characteristics, health care capacity in responding pandemic, and socio-economic characteristics across 514 districts in Indonesia. Methods This nationwide ecological study included aggregated COVID-19 cases data from all 514 districts in Indonesia, recorded in the National COVID-19 Task Force database, during the first two years of the epidemic, from 1 March 2020 to 27 February 2022. We calculated incidence and mortality rate by time, sex, and age. We extracted district-level socio-demographics, population health, and health care capacity data from government official sources. We used multivariable linear regression to examine factors associated with higher mortality rate. Results Of total 5,539,333 reported cases, 148,034 (2.7%) died, and 5,391,299 (97.4%) were recovered. The national mortality rate was 55 per 100,000 population, ranged from 13 per 100,000 population in Papua to 156 per 100,000 population in East Kalimantan province. At district-level, higher mortality rate was associated with higher COVID-19 incidence (p<0.0001), higher proportion of >60 years old population (p<0.0001), higher prevalence of diabetes mellitus (p<0.0001), lower prevalence of obesity (p=0.019), lower number of doctors per population (p=0.001), higher life expectancy at birth (p=0.035), and lower formal education (p=0.021). There was no association between COVID-19 mortality rate with expenditure, prevalence of hypertension and pneumonia, vaccine coverage for >60 years old population, number of nurses, midwives, and hospitals per population (p>0.05 each). Conclusion COVID-19 mortality rate in Indonesia was highly heterogeneous and associated with different prevalence of pre-existing comorbidity, healthcare capacity in responding the pandemic, and socio-economic characteristics. This study revealed the need of health capacity strengthening and better resource allocation to ensure optimal health outcomes for vulnerable population.

ASSOCIATION OF GASTROINTESTINAL SYMPTOMS WITH OUTCOMES IN COVID-19 HOSPITALIZATIONS: A SYSTEMATIC REVIEW AND META-ANALYSIS

Introduction: The coronavirus disease 2019 (COVID-19) pandemic is a global health crisiswhich has caused a significant healthcare burden. Fever, cough and dyspnea are the classicsymptoms of COVID-19 but emerging literature has reported diarrhea, vomiting, loss ofappetite and other gastrointestinal symptoms (GI) as well. In this meta-analysis, we evaluatedthe association of diarrhea, vomiting and anorexia with outcomes in COVID-19 hospitalizedpatients.Methods: Data from observational studies describing GI symptoms and outcomes of COVID-19 hospitalized patients from December 1, 2019 till June 30, 2020 was extracted followingMOOSE guidelines with a consensus of four independent reviewers. Adverse outcomes weredefined as admission to the intensive care unit (ICU), oxygen saturation <90%, invasivemechanical ventilation (IMV), severe disease and in-hospital mortality. Data was analyzedusing Review Manager 5.4. The odds ratio (OR) and 95% confidence interval (95%CI) wereobtained and forest plots were created using random-effects models.Results: Out of 24 studies with 13,741 confirmed COVID-19 patients, 17 studies (4087patients), 5 studies (897 patients) and 5 studies (1751 patients) provided data on COVID-19 hospital outcomes and GI symptoms of diarrhea, anorexia and vomiting respectively. In patients with poor outcomes, the prevalence of diarrhea was 13.3%(187/1398), anorexia37%(172/464) and vomiting 7.6%(67/883). In meta-analysis, patients with anorexia(OR:4.27;95%CI:2.73–6.67;p<0.00001) and vomiting (OR:1.85;95%CI:1.13–3.05;p=0.02)had higher odds of poor outcomes compared to better outcomes with 0% heterogeneity (p=0.68 and p=0.91) respectively. Patients with diarrhea had no significant association withpoor outcomes (OR:1.04 (95%CI:0.75–1.44;p=0.81) with 23% heterogeneity (p=0.19).Conclusion: Our meta-analysis suggests that COVID-19 patients with anorexia and vomitinghad higher risk of poor outcomes and disease severity. Future studies should focus onwhether identification of GI invasion along with fecal PCR testing will help in early triageof high risk patients and improve outcomes.(Figure Presented)Figure 1: Forest Plot of Anorexia with Outcome in COVID-19 hospitalizations(Figure Presented)Figure 2: Forest Plot of Vomiting with Outcome in COVID-19 hospitalizations(Figure Presented)Figure 3: Forest Plot of Diarrhea with Outcome in COVID-19 hospitalizations

The quality of logistic and expedition business services in the era COVID 19 (Study on shipping and logistics company in Indonesia)

This study aims to determine how the Performance of Logistics and Expeditionary Business in Indonesia in the Covid 19 Era on the Service Quality variable and to find out how the Expeditions of Logistics and Expeditionary Business in Indonesia in the Covid 19 Era on the Service Quality variable. The type of research in this research is quantitative with a descriptive analysis approach and the Importance Performance Analysis (IPA) method. Sampling is done using non probability sampling method which is purposive sampling, the results obtained are the number of respondents who were obtained as many as 100 people. The results in this study indicate the performance of freight forwarding and logistics companies on the variable quality of service from the descriptive analysis results obtained by an average of 83.9%, where the score is included in the very satisfying category. Dimensions of Expeditionary and Logical Expeditionary Companies in Indonesia on the variable quality of service from the descriptive analysis obtained overall results, namely with an average of 93%, where the score is included in the very important category. The results of the Quadrant A IPA method are the indicators of Responsiveness and Competence. Quadrant B, namely the indicator of credibility, courtesy, and security. Quadrant C, namely Tangible, Reliability, Access, and Communication indicators. Quadrant D is an indicator of Understanding the Customer. © IEOM Society International.

A classification model to identify public opinion on the lockdown policy using Indonesian tweets

The spread of the Pneumonia Coronavirus Disease 2019 (COVID-19) or Corona virus has affected several industrial sectors in Indonesia, particularly in the tourism and economy sector. Corona virus has been declared by the World Health Organization (WHO) as a pandemic that has spread to various parts of the world including Indonesia. In this regard, the Government of the Republic of Indonesia then declared the Corona virus as a non-natural national disaster. The Case Fatality Rate (CFR) of the Corona virus is 8.37%, placing Indonesia as one of the countries with the highest mortality ratio in the world. Currently, the Government of Indonesia has not implemented a lockdown policy, but there are some people who deplore the government's firmness in imposing the policy and there are also those who support the government for not making the lockdown status decision. Therefore, the lockdown is still a debate in the public. This can be read on social media Twitter, where many people express their opinions about the lockdown policy in Indonesia. Based on this polemic, this research has obtained a classification model that can differentiate between pro and contra tweets on the lockdown policy topics using Indonesian tweets. By using the Bernoulli NB algorithm as a classification model, an optimal value with the highest f-measure score of 88,57% was obtained. This model can be used to assess the effectiveness of communication in implementing lockdown policy to slow the spread of COVID-19 because it can identify public opinion about the trends in supporting or rejecting the lockdown policy. © 2021 Little Lion Scientific

Symptoms that predict positive COVID-19 testing and hospitalization: an analysis of 9,000 patients (preprint)

PurposeTo develop a reliable tool that predicts which patients are most likely to be COVID-19 positive and which ones have an increased risk of hospitalization. MethodsFrom February 2020 to April 2021, trained nurses recorded age, gender, and symptoms in an outpatient COVID-19 testing center. All positive patients were followed up by phone for 14 days or until symptom-free. We calculated the symptoms odds ratio for positive results and hospitalization and proposed a "random forest" machine-learning model to predict positive testing. ResultsA total of 8,998 patients over 16 years old underwent COVID-19 RT-PCR, with 1,914 (21.3%) positives. Fifty patients needed hospitalization (2.6% of positives), and three died (0.15%). Most common symptoms were: cough, headache, sore throat, coryza, fever, myalgia (57%, 51%, 44%, 36%, 35%, 27%, respectively). Cough, fever, and myalgia predicted positive COVID-19 test, while others behaved as protective factors. The best predictors of positivity were fever plus anosmia/ageusia (OR=6.31), and cough plus anosmia/ageusia (OR=5.82), both p<0.0001. Our random forest model had an ROC-AUC of 0.72 (specificity=0.70, sensitivity=0.61, PPV=0.38, NPV=0.86). Having steady fever during the first days of infection and persistent dyspnea increased the risk of hospitalization (OR=6.66, p<0.0001 and OR=3.13, p=0.003, respectively), while anosmia-ageusia (OR=0.36, p=0.009) and coryza (OR=0.31, p=0.014) were protective. ConclusionPresent study and algorithm may help identify patients at higher risk of having SARS-COV-2 (online calculator http://wdchealth.covid-map.com/shiny/calculator/), and also disease severity and hospitalization based on symptoms presence, pattern, and duration, which can help physicians and health care providers.

Time-analysis of COVID-19 dispersion among health care workers and the general population (preprint)

IntroductionHeath care workers with direct (HCW-D) or indirect (HCW-A) patient contact represent 4.2% to 17.8% of COVID-19 cases. We evaluate the temporal COVID-19 infection behavior among HCW-D, HCW-A, and non-HCW. MethodsFrom February 2020 to April 2021, trained nurses recorded age, gender, occupation, and symptoms in a COVID-19 testing outpatient health center. We allocated data into weekly time fractals and calculated the proportion of COVID-19 positive among HCW vs. non-HCW and incorporated an ARFIMA model (traditionally used in weather forecast) to predict future cases of COVID-19. ResultsAmong 8,998 COVID-19 RT-PCR tests, 3,462 (42%) patients were HCW-D, and 933 (11%) were HCW-A. Overall, 1,914 (21.3%) returned positive, representing 27%, 25% and 19% of HCW-D, HCW-A and non-HCW, respectively. HCW-D or HCW-A were significantly more likely to test positive for COVID-19 than non-HCW (OR=1.5, p<0.0001). The percentage of positive to negative test results remained steady over time. In the positive cases, the percentage of HCW to non-HCW declined significantly over time (Mann-Kendal trend test: tau=-0.58, p<0.0001). Our ARFIMA model showed a long-memory infection pattern in the occurrence of new COVID-19 cases lasting for months. Average error was 1.9 cases per week comparing predicted to actual values three months later (May-July 2021). ConclusionHCW have a sustained 50% higher risk of COVID-19 positivity in the pandemic. Time-series analysis showed a long-memory infection pattern with virus spread mainly among HCWs before the general population. The tool http://wdchealth.covid-map.com/shiny/covid-map/ will be updated according to population previous infection and vaccination impact.

CHILDREN MENTAL HEALTH IN BANDUNG DURING COVID-19 PANDEMIC: A CROSS-SECTIONAL STUDY

A significant threat to mental health emerged in children during COVID-19. This study aims to identify the effects of COVID-19 on the mental health of children in Bandung while studying at home. The cross-sectional study was conducted online from August 28 to September 4, 2020, among 426 parents who had at least one child aged 5 to 15 years. Moreover, K-means clustering was used to group 4 categories based on mental health disturbances, and confirmation factors analysis was performed to identify the relationship between parenting behaviour and children's mental health, then assessed by the chi-square test. Children were divided into four groups, in which 52% had subthreshold mental disorders (mean Major Depressive Disorder (MDD)-10;2.45), 32% had a mild (mean MDD-10;5.31), 13% had a moderate (mean MDD-10;12.5), and 3% of the children had severe (mean MDD-10;15.3). The percentage of mental disorders in children is higher in children with a higher educational level of the parents, families contracted COVID-19 and abnormal behaviour of the parents. This paper shows the low proportion of children suffering from mental disorders in Bandung during the pandemic. Applying psychological intervention strategies and improving household financial conditions, parenting literacy, childcare and job security can all help improve children's psychological status.

Smartphone-based GNSS Method for Covid-19 Information on Android (Case Study: Surabaya City)

Coronavirus disease 2019 (Covid-19) is the respiration diasease that can be transmitted from individual to another. There have been 3906 ODP (individual on monitoring) cases, 3303 PDP (patient under surveillance) cases, 2918 confirmed cases, 766 recovered patients, and 282 deaths in Surabaya, as recorded on June 6th, 2020. GIS (Geographical information system) is a science based on computer software, to provide digital form information and the earth’s geographic surface analysis. GNSS (global navigation satellite system) is the positioning system method using satellite, which can be used by a lot of people at the same time and designed to obtain three-dimension position. The combination of Smartphone’s GNSS positioning and the spatial data of Covid-19 distribution in Surabaya is expected to be able to give useful information about health condition toward citizen, especially about Covid-19 pandemic via application based. The outcome is a color-level based distribution of Covid-19 cases which can be accessed android smartphone. Sub district with the highest rate of Covid-19 cases does not necessarily have proper health protocol facilities, and so does other sub districts with high rates of Covid-19 cases. In fact, none of Covid-19 referral hospital located in the sub district with high rate of Covid-19 cases. Based on the results of the questionnaire, the applications namely “Cegah Covid-19 Surabaya” has received good responses. This application is currently able to run on Android smartphones with the versions of Android 10, Pie, Oreo, Nougat, Marshmallow, and Lollipop.

Developing a media to teach chemical technology to students with hearing impairments

This study aims to develop chemical technology learning media through the production of dishwashing soap using sign language for students with hearing impairments. This study used a six-step research method by Borg and Gall, namely needs analysis, planning, video validation, media testing, media revision, and testing the revised media. The results of this study indicate that to create audiovisual media, instrument validation is necessary. Validation of the instrument serves to verify the videos. After the videos are validated, the videos must be edited based on the experts suggestions until the videos are declared valid and ready to use. The videos are tested on eight students with hearing impairments to teach chemical technology and dishwashing soap making. The results of the main field experiments indicates that the experiments are ineffective because the tests conducted during the COVID-19 pandemic outbreak. Besides, learning for students with hearing impairments is generally conducted face-to-face and the media is accommodated by some learning aids for material delivery. © 2020, Rajarambapu Institute Of Technology. All rights reserved.

Liver disease and poor outcomes of COVID-19 hospitalizations-a meta-analysis

Background: COVID-19 pandemic has been a challenge with globally 12,567,457 coronavirus cases reported and 561,879 deaths as of July 11, 2020 Isolated small studies have reported the prevalence of comorbid chronic liver disease (CM-CLD) and COVID-19 associated acute liver injury (COVID-19-ALI) in hospitalized patients In this metaanalysis, we assessed the association of comorbid liver disease and acute liver injury and outcomes in COVID-19 hospitalized patients Methods: Observational studies describing the CM-CLD and COVID-19-ALI and outcomes of COVID-19 hospitalized patients from December 1, 2019, to June 30, 2020, were identified. Data was extracted following MOOSE guidelines with a consensus of four independent reviewers. Adverse outcomes were defined as admission to intensive care unit (ICU), oxygen saturation <90%, invasive mechanical ventilation (IMV), severe disease and in-hospital mortality Data was analysed using Review Manager 5 4 The odds ratio (OR) and 95% confidence interval (95%CI) were obtained and forest plots were created using randomeffects models The p value <0 05 was considered statistically significant. Results: 12 studies with 7564 confirmed COVID-19 patients were included Out of these, 12 studies (7564 patients) and 3 studies (146 patients) provided data on CM-CLD and COVID-19-ALI, respectively The pooled prevalence of CM-CLD was 2 67% [(202/7564)∗d COVID-19-ALI was 22 6% [(33/146)∗ patients with poor outcomes, the prevalence of CM-CLD was 2 4%(54/2233) and COVID-19-ALI was 32% (18/56) In meta-analysis, CM-CLD had no significant association with poor outcomes (OR:0 89;95%CI:0 65-1 22;p=0 47) with no heterogeneity in the data (p=0 93;I2=0%) COVID-19-ALI had higher odds of poor outcomes with OR of 2 49 (95%CI:1 09-5 69;p=0 03) and without any significant heterogeneity between studies (p=0 67;I2=0%) Conclusion: Our meta-analysis suggests that acute liver injury was significantly associated with COVID-19 severity and poor outcomes Future studies should evaluate changing levels of biomarkers amongst liver disease patients to predict poor outcomes of COVID-19.

Impact of large scale social restriction on the COVID-19 cases in East Java

Indonesia is one of the countries affected by COVID-19. The Indonesian government and local governments have issued several guidelines to limit the spread of cases that spread across people in the form of restrictions on physical activity between people. One of the guidelines is large-scale social restrictions (PSBB). PSBB is being implemented in several regions of Indonesia with high COVID-19 cases, including Jakarta, West Java and East Java. Recently, East Java became a province with the highest number of daily new cases, reaching more than 300 reported cases in one day. Some time ago, several regions in Indonesia stopped PSBB policy and took the direction of the New Normal, including East Java. This study suggests machine learning methods that are recognized based on high accuracy, containing Extreme Learning Machines, Multi-Layer Perceptron, and Auto-Regressive Neural Networks to predict the number of daily new, active, confirmed, recovered, and death cases. The MLP (10,10) model was obtained as the best model for predicting the five case variables in East Java for the next 7 days. Based on these results, it can be concluded that the cases in East Java are still increasing. According to this study, the application of the PSBB and the abolition of the PSBB directive, which was replaced by the New Normal directive, had a significant impact on the increase in cases in the East Java region. This is in line with the estimation results, which show that cases in East Java tend to increase with fluctuating new daily cases. © 2020 the author(s).