Pendugaan hotspot sebagai indikator kebakaran hutan di Kalimantan berdasarkan faktor iklim
The occurance of forest fire indonesia especially in Kalimantan is a potential threat to sustainable development. The purpose of this research is a early warning system in forest fire in Kalimantan, by estimating the hotspot as indicators based on visibility and climate data. This research using F t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Bogor Agricultural University
2019-07-01
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| Series: | Journal of Natural Resources and Environmental Management |
| Subjects: | |
| Online Access: | https://journal.ipb.ac.id/index.php/jpsl/article/view/21248 |
| _version_ | 1828045306019708928 |
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| author | Elania Aflahah Rini Hidayati Rahmat Hidayat |
| author_facet | Elania Aflahah Rini Hidayati Rahmat Hidayat |
| author_sort | Elania Aflahah |
| collection | DOAJ |
| description | The occurance of forest fire indonesia especially in Kalimantan is a potential threat to sustainable development. The purpose of this research is a early warning system in forest fire in Kalimantan, by estimating the hotspot as indicators based on visibility and climate data. This research using F test, T test, Multiple Linear Regression analysis, Principle Component Analysis (PCA) and Principle Component Regression Analysis (PCR) Vvisibility, hotspot and temperature data have releated, meaning the very big effect with forest fire incident. Test result of T test and ANOVA P-Value less than 0.05, there is influence between independent variables in this visibility and climate factor against dependent variables in this is the number of hotspots. Relation of climate variables to 10 days forest fire in Central Kalimantan R2 adjusted is 0.4699 with F calculate larger from F table is 160.0940. Relation of climate variables to dasarian forest fire in central kalimantan as early warning system has R2 adjusted that is 0.4176 with f calculate larger from table F of 129.3551. Conclusion forest fires following monsoon character and being affected by el nino events, visibility has a closer and can be used as a indicator of forest fire and land intensity, hotspot in a relationship has a close connection with visibility and climate condition at the same decade period, used equations for early warning system for predicted fire genesis indicates with hotspot amount, compiled from climate condition 10 days. |
| first_indexed | 2024-04-10T18:08:45Z |
| format | Article |
| id | doaj.art-e94f01aab6d64ec49de3570f634117a8 |
| institution | Directory Open Access Journal |
| issn | 2086-4639 2460-5824 |
| language | English |
| last_indexed | 2024-04-10T18:08:45Z |
| publishDate | 2019-07-01 |
| publisher | Bogor Agricultural University |
| record_format | Article |
| series | Journal of Natural Resources and Environmental Management |
| spelling | doaj.art-e94f01aab6d64ec49de3570f634117a82023-02-02T11:53:25ZengBogor Agricultural UniversityJournal of Natural Resources and Environmental Management2086-46392460-58242019-07-019210.29244/jpsl.9.2.405-41816431Pendugaan hotspot sebagai indikator kebakaran hutan di Kalimantan berdasarkan faktor iklimElania Aflahah0Rini Hidayati1Rahmat Hidayat2Departmen of Geophysics and MeteorologyDepartmen of Geophysics and MeteorologyDepartment of Geophysics and MeteorologyThe occurance of forest fire indonesia especially in Kalimantan is a potential threat to sustainable development. The purpose of this research is a early warning system in forest fire in Kalimantan, by estimating the hotspot as indicators based on visibility and climate data. This research using F test, T test, Multiple Linear Regression analysis, Principle Component Analysis (PCA) and Principle Component Regression Analysis (PCR) Vvisibility, hotspot and temperature data have releated, meaning the very big effect with forest fire incident. Test result of T test and ANOVA P-Value less than 0.05, there is influence between independent variables in this visibility and climate factor against dependent variables in this is the number of hotspots. Relation of climate variables to 10 days forest fire in Central Kalimantan R2 adjusted is 0.4699 with F calculate larger from F table is 160.0940. Relation of climate variables to dasarian forest fire in central kalimantan as early warning system has R2 adjusted that is 0.4176 with f calculate larger from table F of 129.3551. Conclusion forest fires following monsoon character and being affected by el nino events, visibility has a closer and can be used as a indicator of forest fire and land intensity, hotspot in a relationship has a close connection with visibility and climate condition at the same decade period, used equations for early warning system for predicted fire genesis indicates with hotspot amount, compiled from climate condition 10 days.https://journal.ipb.ac.id/index.php/jpsl/article/view/21248Climate FactorForest FireHotspotVisibility |
| spellingShingle | Elania Aflahah Rini Hidayati Rahmat Hidayat Pendugaan hotspot sebagai indikator kebakaran hutan di Kalimantan berdasarkan faktor iklim Journal of Natural Resources and Environmental Management Climate Factor Forest Fire Hotspot Visibility |
| title | Pendugaan hotspot sebagai indikator kebakaran hutan di Kalimantan berdasarkan faktor iklim |
| title_full | Pendugaan hotspot sebagai indikator kebakaran hutan di Kalimantan berdasarkan faktor iklim |
| title_fullStr | Pendugaan hotspot sebagai indikator kebakaran hutan di Kalimantan berdasarkan faktor iklim |
| title_full_unstemmed | Pendugaan hotspot sebagai indikator kebakaran hutan di Kalimantan berdasarkan faktor iklim |
| title_short | Pendugaan hotspot sebagai indikator kebakaran hutan di Kalimantan berdasarkan faktor iklim |
| title_sort | pendugaan hotspot sebagai indikator kebakaran hutan di kalimantan berdasarkan faktor iklim |
| topic | Climate Factor Forest Fire Hotspot Visibility |
| url | https://journal.ipb.ac.id/index.php/jpsl/article/view/21248 |
| work_keys_str_mv | AT elaniaaflahah pendugaanhotspotsebagaiindikatorkebakaranhutandikalimantanberdasarkanfaktoriklim AT rinihidayati pendugaanhotspotsebagaiindikatorkebakaranhutandikalimantanberdasarkanfaktoriklim AT rahmathidayat pendugaanhotspotsebagaiindikatorkebakaranhutandikalimantanberdasarkanfaktoriklim |