Fibriani, Charitas and Mardhani, R and Ashari, Ahmad (2024) Linked open data for agricultural land evaluation. In: International Symposium on Environmental and Energy Policy, ISEEP 2023, Pekanbaru.
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Abstract
The government has programs that related to food independence which can be achieved by optimizing agricultural data analysis as decision support. The analysis requires a combination of several data but these data are in different sources and formats. Linked Open Data (LOD) is the answer, it makes the interconnectedness of all data that be needed, the interconnected data can be used for the next process in land evaluation. Land evaluation has 2 activities: land characteristics, and land quality. This research focus on designing a prototype of a land evaluation system model based on linked open data. There are 12 data sources that will be used for this land evaluation. The datas are spatial data which have longitude and latitude. In addition, any 2 types of data that be used text and geojson. The linked between these attributes from many sources and was using LOD’s consept creates a relationship terminology.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department |
| Depositing User: | Ismu WIDARTO |
| Date Deposited: | 11 Jun 2025 04:16 |
| Last Modified: | 11 Jun 2025 04:16 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/18848 |
