This study examines the conversion strategy of 2D to 3D cadastral maps by standardizing the height limits of land rights based on LU/LC. To achieve 3D cadastral maps, the research proposes a conversion strategy considering height factors. The height dimension of cadastral maps faces challenges in determining maximum heights for features like buildings, given varying regional regulations. As a solution, the concept of surface feature height (SFH) is applied along with LU/LC classification. Economic considerations, such as state revenue from taxes, are also factored into the proposed height limits. The results indicate that building/property heights in Bekasi Regency show significant development potential. In the residential sector, the maximum height reaches 24 m, lower than Bekasi City (48 m) and Bandung City (30 m). In the industrial sector, while heights can reach 25 m, the regulatory limit is only 9 m, posing challenges for investment. In the commercial sector, the maximum height can reach 45 m, but the low regulatory limit of 10 m restricts further development. This research provides a foundation for policy development and an effective 3D cadastral system, emphasizing the need for Bekasi Regency to re-evaluate its building height regulations to maximize its development potential.

Having experienced large-scale disasters between 2004 and 2006, the fatalities due to large-scale disasters in 2018 in Indonesia were still high. In contrast, community disaster resilience (CDR) and disaster risk management (DRM) in Japan have been continuously improved. Thus, there is a need to develop CDR for supporting DRM in Indonesia by learning from the Japanese experience, particularly in a disaster-prone area without large-scale disaster experience. This research was a pilot project on the development of CDR in Indonesia. The case study was Lembang Fault area, which is a geologic hazard-prone area. People’s perception was collected using structured interviews, while demographic and local economic data were acquired from official statistical publications. Satellite images were utilized to acquire the imageries of natural and built environment, as well as land use/land cover and its changes, between 2019 and 2021. Based on CDR assessment in the Lembang Fault area, the levels of people’s participation and capacity on DRM were low. This may be caused by the low level of training and education, linking of social capital and past disaster experience, as well as the inability of the people to interpret the symbols in indigenous knowledge. Moreover, government interventions on DRM and land administration are required to develop CDR in the Lembang Fault area. Organized community development is expected rather than to solely involve universities and NGOs. Furthermore, strategies to develop economic resilience are needed to allow the community to bounce back from future disaster. Finally, baseline data should be collected and managed to develop DRM strategy and CDR.

Land taxation, mainly the Land and Building Tax (LBT), is a critical revenue source for local governments in Indonesia, yet its contribution remains suboptimal due to inefficiencies in assessment and administration. This study focuses on the Lebak Regency to optimize the Sales Value of Taxable Objects (SVTO) assessment, a key determinant of LBT revenue. Using spatial analysis, Land Value Zones (LVZ), and socio-economic data, the research evaluates assessment ratios to identify discrepancies between SVTO and market values. Adjustments to SVTO are proposed based on spatial patterns, such as land use and infrastructure, and the Index of Developing Villages (IDV). Findings reveal significant disparities between assessed and market values, with assessment ratios ranging from 1% to 267%. Simulations indicate potential LBT revenue of IDR 224.7 billion under full compliance, compared to IDR 44.22 billion, the 2024 target. Adjustments based on spatial patterns from land use planning and village development indices enhance equity and accuracy in tax assessments, optimizing local revenues. Despite these improvements, the study’s limitations lie in the lack of community validation for the proposed methodology, which is essential to confirm its practicality and acceptance. Future research should address this gap and explore household-level dynamics, including tax affordability and spending patterns, to enhance policy inclusivity and align taxation systems with local socio-economic realities.

Property taxation serves as a critical instrument for fiscal efficiency and equitable distribution, yet implementation faces significant challenges including valuation inaccuracies, insufficient administrative capacity, and diminished public trust. Indonesia’s Land and Building Tax (PBB-P2) utilizes the Sales Value of Taxable Objects (NJOP) as an administrative proxy for market value, which frequently deviates from actual land prices. These disparities create horizontal inequities, diminish local revenue potential, and generate taxpayer resistance, especially in decentralized regions with constrained technical resources. This research presents the Spatially Adaptive Land Value Determination (SALAD) model as a comprehensive framework for enhancing property tax governance and modernizing fiscal cadastre systems. Unlike conventional mass appraisal methods, SALAD integrates spatial zoning, assessment ratio analysis, land-use characteristics, and the Index of Developing Villages (IDM) with socio-economic indicators including purchasing power and community fiscal behavior. The model incorporates structured social validation to improve public acceptance. Field validation in Lebak Regency employed mixed-methods design with surveys of 75 respondents across 20 villages and interviews with village heads and tax officials. Results demonstrate that transparency, fairness, and visible public benefits are essential for community support. Validation indices vary significantly by IDM category (ANOVA: F = 4.23, p = 0.03 for economic; F = 3.81, p = 0.04 for institutional), confirming that the SALAD model’s adaptive mechanism is empirically grounded.

Indigenous knowledge is proven to be one of the foundations of sustainable land and marine management. While indigenous knowledge is acknowledged as of important factors on maintenance of biodiversity of the planet, it also ensures the sustenance of social and economic system of indigenous community. To facilitate the application of indigenous knowledge on management of customary forest in Indonesia, since 2012, the Government of Indonesia has been providing formal access for indigenous communities to their forests to maintain forest sustainability and to enhance the welfare of indigenous community. Nonetheless, the achievement of sustainable development goals in the scope of forest and conservation area management is threatened by various competing interests and power imbalance, which mostly leads to conversion of naturally vegetated area, as well as the inability of the community to integrate new economic opportunities to its institution. Moreover, the Government of Indonesia has not been regulating the involvement of indigenous community on the management of conservation area. Most importantly, such a program provides no reference on indigenous community, especially on the assessment of authenticity of indigenous community’s forest. Cultural space methodology may fill the aforementioned gaps. The methodology was developed based on the notion of cultural space and land administration, particularly the people-and-land/marine space relationship. Moreover, such a methodology was also constructed based on the experiences of agricultural and maritime communities in Indonesia on the administration of their territories. The methodology provides a procedure to convert information on the interrelation of indigenous community, its cultural space in forest and conservation area, and indigenous knowledge into geospatial information and data that represent the cultural space unit as a geographic feature. Therefore, such methodology may be utilised to assess the authenticity of a long-existing relationship between a community, especially an indigenous one, and its land, particularly that serves conservational function.