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Participatory Land Administration in Indonesia: Quality and Usability Assessment

Department of Geodetic Engineering, Faculty of Engineering, Universitas Gadjah Mada, Jalan Grafika no. 2 Yogyakarta 55284, Indonesia
Kadaster International, Kadaster, Hofstraat 110, 7311 KZ Apeldoorn, The Netherlands
Swinburne Business School, Swinburne University, John Street, Hawthorn, Victoria 3122, Australia
Center of Cadastral Survey and Mapping, Directorate-General of Agrarian Infrastructure, Ministry of Agrarian Affairs & Spatial Planning Affairs/National Land Agency (BPN), Jl Kuningan Barat 1 No. 1, Jakarta 12710, Indonesia
Meridia, Landmapp B.V., Mauritskade 63, 1092 AD Amsterdam; The Netherlands
Jaringan Kerja Pemetaan Partisipatif (JKPP), Jl. Cimanuk Blok B7 No. 6 Komp. Bogor Baru, Bogor 16152, Indonesia
Author to whom correspondence should be addressed.
Received: 10 January 2020 / Revised: 19 February 2020 / Accepted: 5 March 2020 / Published: 9 March 2020
(This article belongs to the Special Issue Land, Innovation, and Social Good)
This paper presents the results from a quality and usability analysis of participatory land registration (PaLaR) in Indonesia’s rural areas, focusing on data quality, cost, and time. PaLaR was designed as a systematic community-centered land titling project collecting requisite spatial and legal data. PaLaR was piloted in two communities situated in Tanggamus and Grobogan districts in Indonesia. The research compared spatial data accuracy between two approaches, PaLaR and the normal systematic land registration approach (PTSL) with respect to point accuracy and polygon area. Supplementary observations and interviews were undertaken in order to evaluate the effectiveness of the spatial and legal data collection, as well as logical consistency of the data collected by the community committee, using a mobile application. Although the two pilots showed a lower spatial accuracy than the normal method (PTSL), PaLaR better suited local circumstances and still delivered complete spatial and legal data in a more effective means. The accuracy and efficiency of spatial data collection could be improved through the use of more accurate GNSS antennas and a seamless connection to the national land databases. The PaLaR method is dependent on, amongst other aspects, inclusive and flexible community awareness programs, as well as the committed participation of the community and local offices. View Full-Text
Keywords: quality; usability; boundary data collection; legal data collection; first titling; land administration quality; usability; boundary data collection; legal data collection; first titling; land administration
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MDPI and ACS Style

Aditya, T.; Maria-Unger, E.; vd Berg, C.; Bennett, R.; Saers, P.; Lukman Syahid, H.; Erwan, D.; Wits, T.; Widjajanti, N.; Budi Santosa, P.; Atunggal, D.; Hanafi, I.; Sutejo, D. Participatory Land Administration in Indonesia: Quality and Usability Assessment. Land 2020, 9, 79.

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