ABSTRACT
The local Government Authority has to pay increasing attention to the importance and need of annual revenue prediction due to financial, economic, and political stress. Currently, judgmental models are used for LGAs revenue prediction with poor accuracy. Due to increasing importance; the aim of this study is to develop a model for predicting annual revenue collection of LGAs in Tanzania with the help of agricultural weather condition, exchange rate, national GDP, Council population, number of council enterprise, previous annual collection, and physical person income tax by using support vector regression. The data used for this paper was from 1 ST July 2009 to 30 June 2019 hardly ten-year data. Support vector regression and artificial neural networks are the algorithms which is used for predicting because of their competencies in pattern recognition and machine learning. In this study, the two algorithms ANN and SVR were used to develop a model for predicting the annual revenue collection for LGAs and their performance has been compared for evaluation so as to get the best performer. According to the results, there are high similarities between predicted and actual data for both SVR and ANN. Predicted results of this study show that SVR scores 94.2% model accuracy as compared to 85% model accuracy of ANN. Because of this high accuracy and outperforming of SVR, LGAs in Tanzania can be able to apply SVR model as a revenue predictive tool in the upcoming fiscal year and able to bridge a gap between revenue predicted versus actual revenue collection.
RAJABU, Y (2021). Prediction Of Annual Revenue Collection By Using Data Mining Techniques A Case Of Local Government Authorities In Tanzania. Afribary. Retrieved from https://track.afribary.com/works/prediction-of-annual-revenue-collection-by-using-data-mining-techniques-a-case-of-local-government-authorities-in-tanzania
RAJABU, YUSUPH "Prediction Of Annual Revenue Collection By Using Data Mining Techniques A Case Of Local Government Authorities In Tanzania" Afribary. Afribary, 23 Apr. 2021, https://track.afribary.com/works/prediction-of-annual-revenue-collection-by-using-data-mining-techniques-a-case-of-local-government-authorities-in-tanzania. Accessed 19 Nov. 2024.
RAJABU, YUSUPH . "Prediction Of Annual Revenue Collection By Using Data Mining Techniques A Case Of Local Government Authorities In Tanzania". Afribary, Afribary, 23 Apr. 2021. Web. 19 Nov. 2024. < https://track.afribary.com/works/prediction-of-annual-revenue-collection-by-using-data-mining-techniques-a-case-of-local-government-authorities-in-tanzania >.
RAJABU, YUSUPH . "Prediction Of Annual Revenue Collection By Using Data Mining Techniques A Case Of Local Government Authorities In Tanzania" Afribary (2021). Accessed November 19, 2024. https://track.afribary.com/works/prediction-of-annual-revenue-collection-by-using-data-mining-techniques-a-case-of-local-government-authorities-in-tanzania