PREDIKSI PENERIMAAN NEGARA BUKAN PAJAK (PNBP) LPP RRI GORONTALO MENGGUNAKAN ALGORITMA NEURAL NETWORK
Total View This Week0
Total View This Week0
Institusion
Universitas Muhammadiyah Gorontalo
Author
Humulungo, Djainab
Subject
QA75 Electronic computers. Computer science
Datestamp
2023-07-04 03:12:36
Abstract :
Non-Tax State Revenue (PNBP in indonesian) is one of the most important sources of state revenue in addition to tax revenues. So in this case, prediction is important in knowing the amount of Non-Tax State Revenue at LPP RRI Gorontalo whether it can meet the targets set by the government. Central RRI LPP or not. The data used were 240 datas. with using the Neural Network Algorithm, the accuracy of the Neural Network Algorithm in predicting NonTax State Revenue is not good. This is evidenced by the smallest RMSE level which is still at 0.076. and after testing used calculations in Microsoft Excel, it can be seen that the prediction results from 48 weeks in 2020 and the error range of the data resulting from denormalization of data with a range value from 23855200 to -104726900
Non-Tax State Revenue (PNBP in indonesian) is one of the most important sources of state revenue in addition to tax revenues. So in this case, prediction is important in knowing the amount of Non-Tax State Revenue at LPP RRI Gorontalo whether it can meet the targets set by the government. Central RRI LPP or not. The data used were 240 datas. with using the Neural Network Algorithm, the accuracy of the Neural Network Algorithm in predicting NonTax State Revenue is not good. This is evidenced by the smallest RMSE level which is still at 0.076. and after testing used calculations in Microsoft Excel, it can be seen that the prediction results from 48 weeks in 2020 and the error range of the data resulting from denormalization of data with a range value from 23855200 to -104726900
Download
book
BibTex
Latex, Jabref
cloud_download
Original Resource
url resource Institution
