TINJAUAN RAGAM METODE PENILAIAN MASSAL
DOI:
https://doi.org/10.31092/jia.v6i2.1849Abstract
Property tax is the dominant tax revenue in various regions in Indonesia and even the world. Its imposition cycle is always associated with mass grading. However, when considering the definition of mass appraisal, the mass appraisal procedure can be applied for other purposes. With a qualitative approach, this study aims to look at the implementation of mass assessments in several countries, the methods known in the literature, and the challenges of mass assessments in Indonesia. From the results of data processing, Hong Kong, Malaysia, and Australia use mass valuations for property tax purposes but with different methods. In addition, it found that there are at least two large groups of assessment methods based on artificial intelligence and geographic information system. In Indonesia, the principle of mass valuation link to taxation purposes in regulations and standards.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a CC BY-SA Creative Commons Attribution-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.