Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network
C. sintoc is a plant that has a high essential oil content. Essential oils have many health benefits. Mount Ciremai National Park is an area that has abundant vegetation, especially C. sintoc. The purpose of this study was to predict the volume of oil contained in the leaves of C. sintoc based on it...
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Instituto Internacional de Ecologia
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/113489/ http://psasir.upm.edu.my/id/eprint/113489/1/113489.pdf |
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| author | Ismaila, A.Y. Kusmanab, C. Nainggolanc, M.F. Gandasecad, S. |
| author_facet | Ismaila, A.Y. Kusmanab, C. Nainggolanc, M.F. Gandasecad, S. |
| author_sort | Ismaila, A.Y. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | C. sintoc is a plant that has a high essential oil content. Essential oils have many health benefits. Mount Ciremai National Park is an area that has abundant vegetation, especially C. sintoc. The purpose of this study was to predict the volume of oil contained in the leaves of C. sintoc based on its growing location in Mount Ciremai National Park (TNGC), West Java. Sampling was carried out in two stages, namely field samples and laboratory samples. Field samples with a single plot measuring 20 x 20 meters. Extraction of laboratory samples by steam distillation method. Data analysis using ANFIS method to predict the volume of essential oil. The results showed that the volume of essential oil in the leaves was largest on the western slope (1,96 ml), northern slope (2,01 ml), eastern slope (1,55 ml) and southern slope (1,37 ml) while the essential oil yield of extract oil in the leaves is found on the western slope (0,08%), northern slope (0,07 %), eastern slope (0,06 %) and southern slope (0,04), On the western slope (1,82 ml), northern slope (1,73 ml). The ANFIS analysis results showed a prediction accuracy of 90,99% with the highest tree productivity when C. sintoc BL grows at an altitude of 650-700 meters above sea level, tree diameter of 42 cm, height of 12 m, growing on sand-textured land and at a humidity of 75 and at a growing temperature range of 25-270C. The value of essential oil production volume is influenced by each variable such as tree diameter, tree height, soil texture, altitude, temperature and humidity. |
| first_indexed | 2025-11-15T14:17:26Z |
| format | Article |
| id | upm-113489 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:17:26Z |
| publishDate | 2024 |
| publisher | Instituto Internacional de Ecologia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1134892024-11-26T01:36:50Z http://psasir.upm.edu.my/id/eprint/113489/ Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network Ismaila, A.Y. Kusmanab, C. Nainggolanc, M.F. Gandasecad, S. C. sintoc is a plant that has a high essential oil content. Essential oils have many health benefits. Mount Ciremai National Park is an area that has abundant vegetation, especially C. sintoc. The purpose of this study was to predict the volume of oil contained in the leaves of C. sintoc based on its growing location in Mount Ciremai National Park (TNGC), West Java. Sampling was carried out in two stages, namely field samples and laboratory samples. Field samples with a single plot measuring 20 x 20 meters. Extraction of laboratory samples by steam distillation method. Data analysis using ANFIS method to predict the volume of essential oil. The results showed that the volume of essential oil in the leaves was largest on the western slope (1,96 ml), northern slope (2,01 ml), eastern slope (1,55 ml) and southern slope (1,37 ml) while the essential oil yield of extract oil in the leaves is found on the western slope (0,08%), northern slope (0,07 %), eastern slope (0,06 %) and southern slope (0,04), On the western slope (1,82 ml), northern slope (1,73 ml). The ANFIS analysis results showed a prediction accuracy of 90,99% with the highest tree productivity when C. sintoc BL grows at an altitude of 650-700 meters above sea level, tree diameter of 42 cm, height of 12 m, growing on sand-textured land and at a humidity of 75 and at a growing temperature range of 25-270C. The value of essential oil production volume is influenced by each variable such as tree diameter, tree height, soil texture, altitude, temperature and humidity. Instituto Internacional de Ecologia 2024 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/113489/1/113489.pdf Ismaila, A.Y. and Kusmanab, C. and Nainggolanc, M.F. and Gandasecad, S. (2024) Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network. Brazilian Journal of Biology, 84. art. no. e282113. pp. 1-9. ISSN 1519-6984; eISSN: 1678-4375 https://www.scielo.br/j/bjb/a/jNCJ97BnMPh33nmvqBFcVrh/?lang=en 10.1590/1519-6984.282113 |
| spellingShingle | Ismaila, A.Y. Kusmanab, C. Nainggolanc, M.F. Gandasecad, S. Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network |
| title | Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network |
| title_full | Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network |
| title_fullStr | Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network |
| title_full_unstemmed | Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network |
| title_short | Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network |
| title_sort | prediction of essential oil content in c. sintoc leaves based on the direction of vegetation slope in mount ciremai national park using anfis artificial neural network |
| url | http://psasir.upm.edu.my/id/eprint/113489/ http://psasir.upm.edu.my/id/eprint/113489/ http://psasir.upm.edu.my/id/eprint/113489/ http://psasir.upm.edu.my/id/eprint/113489/1/113489.pdf |