Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/152122
Title: Keterkaitan Antara Hotspot dengan Curah Hujan dan Anomali Sea Surface Temperature di Kabupaten Muaro Jambi, Jambi
Other Titles: Relationship Between Hotspots and Rainfall and Sea Surface Temperature Anomalies in Muaro Jambi Regency Jambi Province
Authors: Putra, Erianto Indra
Fawaz, Jardel Abdul
Issue Date: 2024
Publisher: IPB University
Abstract: Kabupaten Muaro Jambi merupakan daerah yang memiliki tingkat kebakaran hutan dan lahan (karhutla) terbesar di Provinsi Jambi. Karhutla dapat terjadi akibat beberapa faktor, salah satunya adalah iklim. Penelitian ini bertujuan untuk mengetahui keterkaitan antara titik panas (hotspot), curah hujan, dan Anomali Sea Surface Temperature yang mempengaruhi karhutla di wilayah Muaro Jambi pada tahun 2015-2022. Analisis data dilakukan secara deskriptif dan statistik. Data yang digunakan adalah titik panas MODIS dan VIIRS, data curah hujan harian, dan data anomaly SST 3.4. Hasil penelitian menunjukkan bahwa hubungan curah hujan dengan hotspot berbanding terbalik dengan hasil uji korelasi sebesar -0,354, hubungan anomali SST dengan curah hujan berbanding terbalik dengan hasil uji korelasi sebesar -0,185, dan hubungan anomali SST dengan hotspot berbanding lurus dengan hasil uji korelasi sebesar 0,229.
Muaro Jambi Regency has the highest rate of forest and land fires in Jambi Province. Forest and land fires can occur due to several factors, one of which is climate. This study aims to determine the relationship between hotspots, precipitation, and Sea Surface Temperature anomalies that affect forest and land fires in the Muaro Jambi region in 2015-2022. Data analysis was carried out descriptively and statistically. The data used were MODIS and VIIRS hotspots, daily rainfall data, and SST 3.4 anomaly data. The results showed that the relationship between rainfall and hotspots was inversely proportional with correlation of -0.354, the relationship between SST anomalies and rainfall was inversely proportional with correlation of -0.185, and the relationship between SST anomalies and hotspots was directly proportional with correlation of 0.229.
URI: http://repository.ipb.ac.id/handle/123456789/152122
Appears in Collections:UT - Silviculture

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