This research examines spatial data quality of land parcels and accuracy testing in vegetation and non-vegetation areas, highlighting critical anomalies.
This research examines the spatial data quality of land parcels resulting from integrated physical data collection in 2023 in Samarinda City. The research samples consisted of parcels of land covered by vegetation and non-vegetation. Analysis of the results in land parcel accuracy tests referring to SNI-ISO 19113:2011 and spatial analysis of land parcel anomalies. The results of the side (distance) land parcel accuracy test in non-vegetation cover were that 183 sides met the tolerance, and 60 sides did not meet them, while in vegetation covers, 64 sides met tolerances, and 110 sides did not meet them. The accuracy test results on the area of land parcels in non-vegetation covers were that 58 areas met the tolerance. In contrast, in vegetation covers, as many as 27 areas met the tolerance, and 15 areas did not. The quality test classification results were excellent for 91 lands parcels. The 349 land parcel anomalies need to be improved regarding spatial data quality. Good-quality land parcels can become cadastral machines for implementing electronic services.
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Permadi et al. (2025) studied this question.
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