Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/4674
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dc.contributor.authorKhairina, Dyna Marisa-
dc.contributor.authorMuaddam, Aqib-
dc.contributor.authorMaharani, Septya-
dc.contributor.authorHatta, Heliza Rahmania-
dc.date.accessioned2020-07-02T03:45:48Z-
dc.date.available2020-07-02T03:45:48Z-
dc.date.issued2019-
dc.identifier.urihttp://repository.unmul.ac.id/handle/123456789/4674-
dc.description.abstractSetting the target of groundwater tax revenues for the next year is an important thing for Kutai Kartanegara Regional Office of Revenue to maximize the regional income and accelerate regional development. Process of setting the target of groundwater tax revenue for the next year still using estimation only and not using a mathematical calculation method that can generate target reference value. If the realization of groundwater tax revenue is not approaching the target, the implementation of development in the Government of Kutai Kartanegara can be disrupted. The mathematical method commonly used to predict revenue value is the Single Exponential Smoothing (SES) method, which uses alpha constant value which is randomly selected for the calculation process. Forecasting of groundwater tax revenue for 2018 using groundwater tax revenue data from 2013 to 2017. Single Exponential Smoothing method using alpha constant value consists of 0.1, 0.2, 0.3, 0.4 and 0.5. The forecasting error value of each alpha value is calculated using the Mean Absolute Percentage Error (MAPE) method. The best result is forecasting using alpha value 0.1 with MAPE error value was 45.868 and the best forecasting value of groundwater tax for 2018 is Rp 443.904.600,7192.en_US
dc.language.isoenen_US
dc.publisherE3S Web Conf.en_US
dc.relation.ispartofseriesInternational Conference on Energy, Environment, Epidemiology and Information System (ICENIS);-
dc.subjectForecasting; Groundwater Tax; Single Exponential Smoothing Method; Mean Absolute Percentage Erroren_US
dc.titleForecasting of Groundwater Tax Revenue Using Single Exponential Smoothing Methoden_US
dc.typeArticleen_US
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