Browsing by Author "TASPIA TAZRI CHAITY"

Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    PREDICTION OF IMPACTS AND OUTBREAK OF COVID-19 USING DISTINCT LEARNING ALGORITHM
    (2023-03-13) TASPIA TAZRI CHAITY
    The COVID-19 pandemic has caused significant negative impacts on daily wage workers in various professions due to restrictions such as lockdowns and social distancing measures. To analyze and predict these impacts, we collected data on 1665 daily wage workers from eight different professions through an offline survey. After preprocessing the data to remove duplicates, null values, and cleaning, we encoded categorical features and split the dataset into training and testing sets. We used seven machine learning algorithms including logistic regression, decision tree, random forest, support vector machine, AdaBoost, KNN, and XGBoost to develop a predictive model. Our study found that the random forest algorithm had the highest accuracy of 92.1%, followed by XGBoost with 91% accuracy. Our research highlights the potential of machine learning techniques in predicting the impacts of COVID-19 on daily wage workers in various professions. Our thesis paper serves as a guide for policymakers and government officials to understand the effects of COVID-19 on daily wage workers and to implement measures to mitigate these negative effects. Furthermore, the predictive model developed in this study can help predict the impact of future pandemics or crises on these workers and support the development of targeted policies and interventions to help them.