Forecasting BPHTB, PBB, and Non-Property Tax Local Tax Revenues Using ARIMA, Feed-Forward Neural Networks, and LSTM: A Case Study of Banjarmasin City Government
Local tax targets in Banjarmasin City, Indonesia are often set through negotiation rather than accountable calculation, which can contribute to recurring gaps between targets and revenue achievement and, consequently, to disruptions in government programs financed by local taxes. This study evaluat...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Universitas Indonesia
2026-07-01
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| Schriftenreihe: | Jurnal Ilmu Komputer dan Informasi |
| Online-Zugang: | https://jiki.cs.ui.ac.id/index.php/jiki/article/view/1779 |
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