Perpustakaan Digital ITB

Land registration is an important matter for the society in obtaining legal guarantees of ownership of land parcels. Therefore, the Indonesian government held the PTSL program. Land parcels that are PTSL objects are grouped into four classes, namely K-1 (electronic ready data), K-2 and K-3, and K-4. Land parcels included in data quality K-4 are land parcels that have been registered but have not been mapped or mapped incorrectly. Kantah Kuningan Regency has 16,973 K-4 land parcels which data quality must be improved so that they become KW-1 land parcels in 2023. This number places Kuningan Regency in eighth place out of 27 regencies/cities in West Java regarding the number of K-4. Therefore, this study aims to classify the quality of land data which will later be completed using the FFP-LA spatial framework concept and the incremental improvements above. Scientifically, this research is expected to produce a K-4 data classification and its completion based on the FFP-LA spatial framework and incremental improvements. Improving the quality of data from K-4 to KW-1 can be done by applying the concept of the spatial framework fit-for-purpose land administration (FFP-LA) and incremental improvements. The FFP-LA provides structured guidance for building a spatial framework, legal framework and institutional framework in designing a country's strategy to implement a land administration system that enables the effective and efficient implementation of land registration. In this study, the basis is the spatial framework. Incremental improvements impact the completion process gradually. However, it gives results that match the original purpose. K-4 data quality is divided into 3 types, namely KW-4, KW-5, and KW-6. Potential problems with the quality of land data are still found in KW-4, KW-5, and KW-6. From this study, the results were obtained in the form of photo maps taken using photogrammetry techniques and questionnaires that were addressed to experts using the expert judgment method to find out the new classifications of K4. New classifications were obtained, namely KW 4.1, KW 4.2, KW 4.3, KW 4.4, KW 4.5, KW 4.6, KW 5.1, KW 5.2, and KW 6.1. This new data and classification can be used to accelerate the improvement of K4 data. Practically, this research is expected to be utilized by the Ministry of Agra rian Affairs and Spatial Planning/National Land Agency in improving the data quality of K-4 land parcels to become KW-1 land parcels nationally in various regions.