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BACKGROUND: The lockdown would become the primary strategy for facing covid-19 as it quickly mutates which might cause repeated pandemics;however, it negatively affects individuals' quality of life (QOL). The schizophrenia caregivers experience considerable stress. The research on the impact of the COVID-19 lockdown on QOL of schizophrenia caregivers is essential, especially for those who reside in rural areas. AIM: This study aimed to investigate the impact of lockdown-related COVID-19 on QOL among primary caregivers of schizophrenia patients living in a rural area. METHOD(S): This study recruited 204 primary caregivers (15-79 years). This study used the World Health Organization Quality of Life instrument (WHOQOL-BREF) to asses QOL's primary caregiver. Evaluate the possible change in caregivers' QOL before and during the COVID-19 lockdown using paired t-test for repeated measures. RESULT(S): The mean age of the caregivers was 46.61 years (SD = 12.79), ranging from 15 to 79 years, with a preponderance of male (54.5%), aged 38-47 years old (29.7%), married (81.2%), employed (57.4%), and had senior high school level of education (34.7%). Majority were parents (26.2%) of the ill relative, and took care of the patients more than 5 years (52.5%). There was a statistical difference (p < 0.05) in caregivers' QOL between before and during the COVID-19 lockdown, including in physical health, psychological, social relationships, and environment domain. CONCLUSION(S): Implementing a lockdown policy related to COVID-19 has negatively impacted the caregivers' QOL. The degradation of caregivers' QOL showed from before to during COVID-19 lockdown. Further study needs to explore the QOL of other mental illness caregivers regarding COVID-19 lockdown. This finding becomes a reference for a government to modify some policy-related lockdowns to minimize their negative impact.Copyright © 2023 Utomo Utomo, Eko Mulyadi, Endang Fauziyah.
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Fake news reports false or distorted information that aims to mislead us and undoubtedly has a negative impact on society. For example, medical research in Taiwan shows that fake news about the COVID-19 vaccine reduces the number of doses absorbed by the public significantly as those exposed to fake news become hesitant and even anti-vaccine. Therefore, early automatic detection of fake news on the internet is crucial. In detecting fake news, machine learning algorithms, especially text classification algorithms, are used as a solution for this problem. Searching for the best method with high accuracy needs to be done continuously. This paper compares four main algorithms, namely Support Vector Machine (SVM), Stochastic Gradient Descent (SGD), Logistic Regression (LR), and Naïve Bayes. The experiment was carried out using 200 Indonesian news datasets, consisting of 100 fake news and 100 real news. The performance matrix of each algorithm was evaluated with accuracy, recall, precision, and F1-score as the harmonic mean. The results showed that Logistic Regression was able to separate fake news and real news with the highest F1-scorc reaching 90.9%. This paper also proposes a framework of detecting fake news that can be implemented on public websites. © 2022 IEEE.
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The agricultural sector is one of the aspects that was affected by the COVID-19 pandemic. Therefore, this study aims to describe the impact of the COVID-19 pandemic on agroforestry farmers' livelihoods in rural areas. It was carried out in Tasikmalaya Regency, East Priangan, where mixed garden agroforestry farming supports part of the economic life of the community. The data used were collected between August and September 2021 by interviewing 33 farmer households. A coding and descriptive analysis were carried out to discuss the impact of the COVID-19 pandemic on agroforestry farmers and their strategies. Subsequently, the cost-income, revenue cost ratio, and labor productivity analyses were used to assess the feasibility of agroforestry farming before and during the pandemic. The results showed that government policies related to handling the pandemic in form of Large-Scale Social Restrictions (PSBB) and the Implementation of Community Activity Restrictions (PPKM) significantly affected the lives of farmers. These include decreased demand and commodity selling prices, difficulties in marketing agroforestry products, and a decrease in farmers' incomes by 38.45%. The agroforestry business has become less viable due to a reduction in farm productivity from R/C 1.1 before the pandemic to 0.85 during the pandemic, while farmer labor productivity decreased from US$ 3.00 to US$ 2.10. The farmers used direct cash assistance from the government and processed agroforestry products for sale and consumption as a survival strategy during the pandemic. Meanwhile,the government can help agroforestry farmers by increasing road access to rural areas, providing fertilizer and superior seeds, and also optimizing the role of livestock farmer groups.
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Globally, various sectors were adversely affected by the emergence of the COVID-19 pandemic. Therefore, this study aims to determine the economic condition of bamboo craftsmen in Mandalagiri Village, Leuwisari District, Tasikmalaya Regency, West Java Province, Indonesia. This is an in-depth research with data obtained by interviewing 35 bamboo craftsmen with various products and production scales. The results showed that craftsmen were not economically affected by the pandemic rather by the central government-stipulated regulation on social distancing, which led to their inability to transport their product from Tasikmalaya to Jakarta and other regions. However, since the government lifted the ban, their income has increased by an average of 2%. The result further showed that the main factor that keeps craftsmen from being negatively affected by the pandemic is the increasing online market demand supported by the availability of raw materials and the ability to adapt to various new model products. Other factors linked to the national market and products answer the demand of the modern market in the cities. Meanwhile, the main factors that positively affect the craftsmen's income are age and marital status. © 2021 by Forest and Society. This work is licensed under a Creative Commons Attribution 4.0 International License.