Cadastre Typology as a Baseline for Incremental Improvement of Spatial Cadastre in Jakarta: Towards a Complete Cadastre

Dwi Budi Martono (), Trias Aditya, S Subaryono and Prijono Nugroho
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Dwi Budi Martono: Geomatics Engineering Study Programme, Department of Geodetic Engineering, Universitas Gadjah Mada, Yogyakarta 55284, Indonesia
Trias Aditya: Geomatics Engineering Study Programme, Department of Geodetic Engineering, Universitas Gadjah Mada, Yogyakarta 55284, Indonesia
S Subaryono: Geomatics Engineering Study Programme, Department of Geodetic Engineering, Universitas Gadjah Mada, Yogyakarta 55284, Indonesia
Prijono Nugroho: Geomatics Engineering Study Programme, Department of Geodetic Engineering, Universitas Gadjah Mada, Yogyakarta 55284, Indonesia

Land, 2022, vol. 11, issue 10, 1-15

Abstract: Improving the quality of spatial cadastre remains a challenge in Indonesia. The lack of data quality impacts the legal uncertainty of land rights and the inequality of control, ownership, use, and utilization of land. This study discusses the efforts that can be made to achieve an accurate, assured, and authoritative spatial cadastre by referring to cadastral regulations in Indonesia, especially in urban areas. This research focuses on three spatial elements: boundary determination survey, measurement methods, and base map accuracy in order to assess systematic and sporadic registration activities previously conducted in two sub-districts in North Jakarta. The areas are located in a compacted urban area that consists of 19,173 land parcels as a research sample. A multivariate clustering tool is used to analyze the grouping of land parcels into a cadastral typology (comply/not comply). This study indicates that the level of compliance of the land parcel maps against three spatial elements are the following: (1) the compliance to boundary determination survey by 100%; (2) the compliance to measurement method by 17.36%; and (3) the compliance to base map accuracy by 0%. This paper explains how the cadastre typology can be used as an indicator of compliance as well as a baseline to improve the quality of spatial data.

Keywords: spatial cadastre; cadastral typology; data quality improvement; standard (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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