Crude oil price (COP) data are time-series data that are assessed as having both volatility and heteroscedasticity variance. One of the best models that can be applied to address the heteroscedasticity problem is GARCH (generalized autoregressive conditional heteroscedasticity) model. The purpose of this study is to construct the best-fitted model to forecast daily COP as well as to discuss the prepared recommendation for reducing the impact of daily COP movement. Daily COP data are observed for the last decade, i.e., from 2009 to 2018. The finding with the error of less than 0.0001 is AR (1) -GARCH (1,1). The implementation of the model is applicable for both predicting the next 90 days for the COP and its anticipated impact in the future. Because of the increasing prediction, it is recommended that policymakers convert energy use to renewable energy to reduce the cost of oil use.
This study discusses an interactive model that integrates behaviour theory with ethical theory to determine individual behaviour towards digital piracy. This study uses a quantitative approach by testing assumptions using the Structural Equation Model (SEM) assisted using the AMOS 4.0 application program. The results showed that the Theory of Planned Behavior (TPB) and the theory of marketing ethics (HV theory) could be used to predict the intention to commit digital piracy. Digital piracy intentions are not influenced by TPB's arbitrary rules, while digital piracy expectations and behaviour management significantly impact digital piracy intentions. Moral obligations and perceived benefits directly influence digital piracy. Moral obligation has clear negative effects, whereas perceived benefits positively impact piracy. Moral obligation hurts subjective value. Meanwhile, the perceived dangers often undermine individual attitudes towards digital piracy. The benefits people experience influence attitudes to digital piracy. This habit has had a dramatic and positive impact on digital piracy.
Health decentralization allows the Bandar Lampung City Health Office to design programs and service activities that are appropriate to local conditions. Based on data obtained from the HR department of private hospitals in Bandar Lampung City, the number of employees in private hospitals is 326 people and therate turnover reaches more than 10% per year. The purpose of this study was to determine the relationship between psychological well-being and job satisfaction with therate turnover at the Bandar Lampung City Private Hospital. The results of the study found that Job Satisfaction and Psychological Wellbeing had a simultaneous effect on employee turnover. This is evidenced by the statistical results of F count 18,539 > F table value of 3.07, with a significance of 0.00; Job satisfaction has a significant effect on employee turnover with a t-table value of 1.657 and a t-count value of 3.437; Psychological Wellbeing has a significant effect on employee turnover, with t count of 6.051 which means t count > t table (6.051> 1.657) and sig 0.00 < 0.05.
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