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    http://repository.unmul.ac.id/handle/123456789/52015| Title: | Borneo Smart Forest Information System for Management of Dipterocarp Plants in Kalimantan Rainforest | 
| Authors: | Widians, Joan Angelina Widians, Joan Angelina | 
| Keywords: | Information System; Dipterocarp; Endemic plants; Borneo; QR-code | 
| Issue Date: | 22-Oct-2022 | 
| Publisher: | IEEE | 
| Citation: | IEEE | 
| Series/Report no.: | 22514827;10009929 | 
| Abstract: | Kalimantan's tropical rainforest is home to indigenous plants of the Dipterocarpaceae family (tribe), which is renowned for having the most endemic species. Dipterocarp is a family of pantropical plants, many of which are used in the wood industry. The average height of this tribe is 70 to 85 meters. This kind of tree can be found in abundance in Kalimantan's forests. This study aims to provide information on the potential of Dipterocarp in Kalimantan forests. Education and conservation efforts for Dipterocarp trees, a prominent component of the forest ecosystem, are crucial in light of the significant harm done to Kalimantan's rainforests. The authors develop the Borneo Smart Forest information system. This system digitally organizes data on the diversity of Dipterocarp in the Kalimantan rainforest based on Web and QR-Code technology. Borneo Smart Forest (BSF) system for monitoring plant inventory and plant markers can be read by smartphones using QR codes. It gives visitors a comprehensive overview of the plants. A QR code is a printed, two-dimensional barcode with limited space for data storage. This technology allows the plant to show earlier administrator-made additions to the inventory information system. Using this tool, administrators may easily manage all plant data. Most individuals have smartphones with cameras for QR code scanning. The QR code will direct the user to the BSF website, which has data about the plants. The development of this system is one of the efforts to support the achievement of Dipterocarp conservation. | 
| Description: | JA Widians | 
| URI: | http://repository.unmul.ac.id/handle/123456789/52015 | 
| ISBN: | 979-8-3503-9820-5 | 
| Appears in Collections: | A - Computer Sciences and Information Technology | 
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ITIS_diptero_accepted.pdf | Main article | 1.14 MB | Adobe PDF | View/Open | 
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