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ABSTRAKPenelitian ini mengangkat isu masalah aksesibilitas informasi Pajak Daerah dan
penetapan target penerimaan. Isu aksesibilitas disebabkan oleh kompleksitas proses
dalam mengumpulkan dan mengkonsolidasi data dari beberapa sumber yang
tersebar pada unit-unit pelayanan. Di sisi lain Dinas Pelayanan Pajak (DPP) harus
menetapkan target penerimaan berdasarkan data tahun sebelumnya dengan
menggunakan metode tertentu. Tujuan penelitian ini untuk menjawab permasalahan
tersebut dengan melakukan perancangan data warehouse, mengimplementasikan
dalam 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 yang
digunakan untuk merancang data warehouse adalah metodologi yang dikemukakan
oleh Ralph Kimball. Hasil dari penelitian ini adalah rancangan dan implementasi
prototipe data warehouse, business intelligence dashboard, dan proyeksi penerimaan Pajak Daerah di masa mendatang yang dapat menjawab kebutuhan informasi DPP.
ABSTRACTThis research addresses both local taxes information accessibility and revenue
target setting issues. The accessibility issue arise from the complexity of compiling
process since these data have to be gathered and consolidated from several sources
across many tax offices. Simultaneously the Local Tax Authority (Dinas Pelayanan
Pajak-DPP) has to set annual revenue target which usually derived from time series
data by implementing a certain revenue forecasting method. The purposes of this
research is to solve the accessibility issue and provide a scientific forecasting
method by designing data warehouse, implementing its prototype, processing the
cubes for multi dimensional analysis, providing a business intelligence dashboard,
and mining the data which used in the forecasting process. This research uses data
warehouse design methodology provided by Ralph Kimball. The outcomes of this
research 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 compiling
process since these data have to be gathered and consolidated from several sources
across many tax offices. Simultaneously the Local Tax Authority (Dinas Pelayanan
Pajak-DPP) has to set annual revenue target which usually derived from time series
data by implementing a certain revenue forecasting method. The purposes of this
research is to solve the accessibility issue and provide a scientific forecasting
method by designing data warehouse, implementing its prototype, processing the
cubes for multi dimensional analysis, providing a business intelligence dashboard,
and mining the data which used in the forecasting process. This research uses data
warehouse design methodology provided by Ralph Kimball. The outcomes of this
research 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 compiling
process since these data have to be gathered and consolidated from several sources
across many tax offices. Simultaneously the Local Tax Authority (Dinas Pelayanan
Pajak-DPP) has to set annual revenue target which usually derived from time series
data by implementing a certain revenue forecasting method. The purposes of this
research is to solve the accessibility issue and provide a scientific forecasting
method by designing data warehouse, implementing its prototype, processing the
cubes for multi dimensional analysis, providing a business intelligence dashboard,
and mining the data which used in the forecasting process. This research uses data
warehouse design methodology provided by Ralph Kimball. The outcomes of this
research are data warehouse design and prototype, business intelligence dashboard, and local taxes revenue forecasting method to provide the information as needed by DPP. ]
TA-Gito Wahyudi.pdf :: Unduh