The Penerapan Metode Waterfall dan Kecerdasan Buatan untuk Pemetaan Objek Pajak PBB pada Dispenda Lampung Tengah: Implementation of the Waterfall Method and Artificial Intelligence for Mapping Property Tax Objects at the Dispenda Central Lampung

budi hartanto

doi:10.32938/jitu.v5i2.7601

Authors

budi hartanto ilmu komputer

DOI:

https://doi.org/10.32938/jitu.v5i2.7601

Keywords:

Kata kunci - Metode Waterfall, Kecerdasan Buatan, Pemetaan Objek Pajak, PBB, Dispenda Lampung Tengah, Waterfall Method, Artificial Intelligence, Property Tax Mapping, PBB, Dispenda Central Lampung

Abstract

Abstract - This research aims to implement the Waterfall method and artificial intelligence in mapping property tax objects at the Dispenda Central Lampung. The Waterfall method is used as a software development framework that allows a structured and systematic process from the analysis phase to implementation. Meanwhile, artificial intelligence is applied to enhance the accuracy in mapping and classifying tax objects based on spatial and non-spatial data. The research results show that the combination of the Waterfall method and artificial intelligence can improve the efficiency and accuracy of mapping property tax objects, ultimately supporting the optimization of regional tax revenue. These findings provide significant contributions to the development of geographic information systems and regional tax management in Central Lampung..

Abstrak - Penelitian ini bertujuan untuk menerapkan metode Waterfall dan kecerdasan buatan dalam memetakan objek pajak PBB di Dispenda Lampung Tengah. Metode Waterfall digunakan sebagai kerangka kerja pengembangan perangkat lunak yang memungkinkan proses yang terstruktur dan sistematis dari tahap analisis hingga implementasi. Sementara itu, kecerdasan buatan diterapkan untuk meningkatkan akurasi dalam pemetaan dan klasifikasi objek pajak berdasarkan data spasial dan non-spasial. Hasil penelitian menunjukkan bahwa kombinasi antara metode Waterfall dan kecerdasan buatan dapat meningkatkan efisiensi dan akurasi pemetaan objek pajak PBB, yang pada akhirnya mendukung optimalisasi penerimaan pajak daerah. Temuan ini memberikan kontribusi penting bagi pengembangan sistem informasi geografis dan manajemen pajak daerah di Lampung Tengah.

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