Identifying Best Method for Forecasting Tax Income using Time Series Analysis

نویسندگان

چکیده

Regional independence can be seen from the high or low local indigenous income. In doing planning, forecasting is needed as consideration for policy making. For economic development accurate predictions of regional income are needed. Majalengka Regency one districts included in national legislation program Segitiga Rebana area projected driving force growth Java Province Barat. The research method uses secondary data on tax revenue receipts obtained Central Statistics Agency. Data analysis using time series with models tested including Single Exponential Smoothing, Double Winters Method Additive, and Multiplicative. study aimed to find best methods receiving incomes. results indicated Additive that used forecast Mean Absolute Percentage Error reaches category a value 14% when level 0.1, trend 0.2, seasonal 0.1.

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ژورنال

عنوان ژورنال: Proceedings IAPA Annual Conference

سال: 2022

ISSN: ['2686-6250', '2686-6242']

DOI: https://doi.org/10.30589/proceedings.2022.683