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This study is quantitative research using ordinal logistic regression analysis that aims to determine how the influence of predictors: Muzaki's attitude in dealing with the covid-19 pandemic, Digital Literacy, Technology Acceptance Model (TAM), Religiosity and Income on the intensity of paying zakat digitally. Another objective is to determine the probability of above predictors to influence the intensity of milleneals paying zakat through the digital transaction platform during the covid-19 pandemic. The findings of the research are that the factors that affect to the intensity of muzaki paying zakat through digital payment are 4 variables, namely: the attitude of muzaki in dealing with the covid-19 pandemic, Digital Literacy, TAM, and Religiosity. Income has no effect on muzaki's intencity to pay ZIS online. Based on the findings of the interpretation of the ordinal logistic regression equation using the odd ratio test, there are 3 types of categories (Y) of the 4 intensity scales of paying ZIS through the elimination of the smallest decision, namely the category of paying ZIS very often through digital payment amounting to 4 muzaki. Trerefore, there are 3 decisions that dominate, namely very rarely, rarely and often make ZIS payments with digital payments. Then the opportunity for muzaki to feel like paying ZIS through digital payment is highest in the second variable, namely Digital Literacy of 1.04 times compared to other variables, namely Religiosity of 1.036 times, Muzaki's attitude in facing the covid pandemic is 1.01 times, TAM is 1.002 time.
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