[ABSTRAK
Penelitian ini mengangkat isu masalah aksesibilitas informasi Pajak Daerah dan penetapan target penerimaan. Isu aksesibilitas disebabkan oleh kompleksitas prosesdalam mengumpulkan dan mengkonsolidasi data dari beberapa sumber yangtersebar pada unit-unit pelayanan. Di sisi lain Dinas Pelayanan Pajak (DPP) harusmenetapkan target penerimaan berdasarkan data tahun sebelumnya denganmenggunakan metode tertentu. Tujuan penelitian ini untuk menjawab permasalahantersebut dengan melakukan perancangan data warehouse, mengimplementasikandalam bentuk prototipe, memproses cube untuk kepentingan analisis multi dimensional, membuat business intelligence dashboard, dan data mining untuk proyeksi penerimaan Pajak Daerah di masa mendatang. Metodologi yangdigunakan untuk merancang data warehouse adalah metodologi yang dikemukakanoleh Ralph Kimball. Hasil dari penelitian ini adalah rancangan dan implementasiprototipe data warehouse, business intelligence dashboard, dan proyeksi penerimaan Pajak Daerah di masa mendatang yang dapat menjawab kebutuhan informasi DPP.
ABSTRACT
This research addresses both local taxes information accessibility and revenue target setting issues. The accessibility issue arise from the complexity of compilingprocess since these data have to be gathered and consolidated from several sourcesacross many tax offices. Simultaneously the Local Tax Authority (Dinas PelayananPajak-DPP) has to set annual revenue target which usually derived from time seriesdata by implementing a certain revenue forecasting method. The purposes of thisresearch is to solve the accessibility issue and provide a scientific forecastingmethod by designing data warehouse, implementing its prototype, processing thecubes for multi dimensional analysis, providing a business intelligence dashboard,and mining the data which used in the forecasting process. This research uses datawarehouse design methodology provided by Ralph Kimball. The outcomes of thisresearch are data warehouse design and prototype, business intelligence dashboard, and local taxes revenue forecasting method to provide the information as needed by DPP. ;This research addresses both local taxes information accessibility and revenue target setting issues. The accessibility issue arise from the complexity of compilingprocess since these data have to be gathered and consolidated from several sourcesacross many tax offices. Simultaneously the Local Tax Authority (Dinas PelayananPajak-DPP) has to set annual revenue target which usually derived from time seriesdata by implementing a certain revenue forecasting method. The purposes of thisresearch is to solve the accessibility issue and provide a scientific forecastingmethod by designing data warehouse, implementing its prototype, processing thecubes for multi dimensional analysis, providing a business intelligence dashboard,and mining the data which used in the forecasting process. This research uses datawarehouse design methodology provided by Ralph Kimball. The outcomes of thisresearch are data warehouse design and prototype, business intelligence dashboard, and local taxes revenue forecasting method to provide the information as needed by DPP. , This research addresses both local taxes information accessibility and revenue target setting issues. The accessibility issue arise from the complexity of compilingprocess since these data have to be gathered and consolidated from several sourcesacross many tax offices. Simultaneously the Local Tax Authority (Dinas PelayananPajak-DPP) has to set annual revenue target which usually derived from time seriesdata by implementing a certain revenue forecasting method. The purposes of thisresearch is to solve the accessibility issue and provide a scientific forecastingmethod by designing data warehouse, implementing its prototype, processing thecubes for multi dimensional analysis, providing a business intelligence dashboard,and mining the data which used in the forecasting process. This research uses datawarehouse design methodology provided by Ralph Kimball. The outcomes of thisresearch are data warehouse design and prototype, business intelligence dashboard, and local taxes revenue forecasting method to provide the information as needed by DPP. ] |
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