Judul: Analysis of Forest and Peatland Fire  Vulnerability in Muaro Jambi Regency, Jambi Province
Abstrak: Provinsi Jambi dikenal sebagai wilayah yang rentan terhadap kebakaran karena hampir setiap tahun wilayahnya mengalami insiden kebakaran pada lahan gambut yang memiliki luas cukup signifikan. Tujuan dari penelitian ini adalah untuk menganalisis distribusi dan jumlah hotspot, menganalisis korelasi antara curah hujan dengan hotspot sebagai indikator terjadinya kebakaran hutan dan lahan gambut, serta menganalisis kegiatan masyarakat terkait pembakaran hutan dan lahan gambut. Pemetaan sebaran hotspot dilakukan dengan analisis spasial data hotspot, sebaran lahan gambut, dan data administrasi Kabupaten Muaro Jambi. Data sebaran hotspot, dan curah hujan harian yang telah direkapitulasi kemudian dilakukan uji korelasi bivariate pearson menggunakan aplikasi SPSS. Wawancara secara in depth interview dengan jenis teknik sampling kuota yang telah disediakan untuk menentukan kegiatan masyarakat yang dapat memicu kebakaran. Distribusi hotspot di Kabupaten Muaro Jambi selama periode 2019- 2023 mencapai total 5974 titik. Hasil penelitiam menunjukkan bahwa hubungan antara curah hujan dan hotspot di Muaro Jambi tidak signifikan dan berkorelasi negatif yang berkategori sedang dengan nilai P value sebesar 0,493 > 0,05., Jambi Province is known as an area vulnerable to fires because almost every year it experiences fire incidents on peatlands, which have a significant extent. The purpose of this study was to i) analyze the distribution and number of hotspots, ii) analyze the correlation between rainfall and hotspots as indicators of forest and peatland fires, and iii) analyze community activities related to forest and peatland burning. Mapping of hotspot distribution was conducted using spatial analysis of hotspot data, peatland distribution, and administrative data of Muaro Jambi Regency. The distribution of hotspots and daily rainfall data that had been recapitulated were then subjected to bivariate Pearson correlation tests using SPSS software. In-depth interviews with a quota sampling technique were conducted to determine community activities that could trigger fires. The distribution of hotspots in Muaro Jambi Regency during the period 2019-2023 reached a total of 5,974 points.. The analysis shows that the relationship between rainfall and hotspots in Muaro Jambi is not significant and moderately negatively correlated, with a P-value of 0.493 > 0.05
Keyword: Rainfall, hotspot, kebakaran lahan gambut, pembukaan lahan, Land clearing

Judul: Relationship Between Hotspots and Rainfall and Sea Surface Temperature Anomalies in Muaro Jambi Regency Jambi Province
Abstrak: 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.
Keyword: Anomali SST, Curah hujan, Hotspot, Kabupaten Muaro Jambi

Judul: Optimization of Alginate-Chitosan Microcapsules Formation for Leydig Cells Encapsulation
Abstrak: Hypogonadism is a clinical condition characterized by low concentrations of testosterone. It is caused by malfunction of Leydig cells in producing testosterone. Encapsulation method will protect the transplanted cells from the immune system rejection. The aims of this study was to optimize the formation of microcapsules for Leydig cells encapsulation. The microcapsules were made of alginate and chitosan as the first and the second coating agents, respectively. The result showed that the minimum concentration of alginate was 1.5% (w/v) with a viscosity of 33.8 cPs, resulted spherical microcapsules with diameters of 230-270 µm. The optimum concentration of chitosan as the second coating agent was 0.5% (w/v), resulted spherical microcapsule with mechanical stability in 4 hours. Leydig cells can be trapped inside the capsule with a density that proportional with concentration of cells used in the encapsulation.
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