Judul: Analisis Variabel Evaporasi di Perairan Terbuka dan  Variabel Evaporasi Penman-Monteith Menggunakan Ridge Regression [Studi  Kasus Model Kebakaran Hutan].
Abstrak: Kebakaran hutan dan lahan (karhutla) dipengaruhi oleh tingkat evapotranspirasi aktual (act), evaporasi dari perairan terbuka (pev) dan evaporasi Penman-Monteith (et0). Tujuan penelitian ini adalah menganalisis karakteristik data, data spasial dan temporal ketiga variabel tersebut serta membandingkan performa variabel pev dan et0 untuk memodelkan kebakaran hutan menggunakan Ridge Regression. Penelitian ini menggunakan data terkait karhutla yang diperoleh dari metode Empirical Orthogonal Function berbasis Singular Value Decomposition. Analisis yang dilakukan antara lain teoritis, karakteristik, temporal, spasial, dan regresi ridge. Analisis regresi melibatkan data hotspot sebagai indikator karhutla. Hasilnya adalah variabel pev membutuhkan indikator perhitungan yang paling sedikit. Karakteristik variabel act lebih menyerupai variabel et0. Ketiga variabel memiliki keserupaan pola spasial dan temporal pada data terkait karhutla. Selanjutnya, performa variabel pev lebih baik dari variabel et0. Namun, performa variabel act lebih mendekati variabel et0., Forest and land fires are a disaster that influenced by the actual evapotranspiration (act), evaporation from open water (pev) and Penman-Monteith evaporation (et0). The purpose of this study is to analyze the characteristics of data, spatial and temporal data of these three variables and compare the performance of pev and et0 variables to model forest fires using Ridge Regressions. In this study, forest fire related data will be used and it is obtained from the Empirical Orthogonal Function method based on Singular Value Decomposition. The analysis carried out include theoretical, characteristic, temporal, spatial, and ridge regressions. The regression analysis is involving hotspot data as an indicator of forest and land fires. The results shows that the pev variable has the least number of computation indicator. The characteristics of the act variable are more like the et0 variable. All three variables have similar patterns of spatial and temporal in forest fire-related data. Furthermore, the performance of the pev variable is better than the et0 variable. However, the performance of the act variable is closer to the et0 variable.
Keyword: evaporation, forest and land fires, characteristics, performance, regression

Judul: Spatial Modeling of Forest and Land Fires Vulnerability in Rawa Aopa Watumohai National Park
Abstrak: Kebakaran hutan dan lahan selalu menjadi agenda tahunan di Taman Nasional Rawa Aopa Watumohai, hal ini menimbulkan banyak dampak baik aspek sosial, ekonomi, ekologi, serta kesehatan manusia. Penelitian ini bertujuan untuk menganalisis faktor dan variabel terjadinya kebakaran hutan di TNRAW, membangun model dan peta kerawanan kebakaran hutan dan lahan di TNRAW, serta pengaruh sosial dan ekonomi masyarakat dengan kejadian kebakaran hutan dan lahan di TNRAW. Data yang digunakan untuk membangun model kerawanan kebakaran adalah data titik panas dari satelit Moderate Resolution Imaging Spectroradiometer (MODIS) dan Balai TNRAW, data variabel yang digunakan adalah data iklim, proxy from human activities, serta biofisik alam. Data variabel yang digunakan dilakukan uji multikolinearitas dan dilakukan model kebakaran hutan dan lahan menggunakan machine learning Maximum Entropy (maxent). Pengaruh ekonomi dan sosial masyarakat dilakukan dengan metode wawancara dengan pemilihan responden menggunakan snowball, wawancara dilakukan terhadap lima desa yang terdapat di dalam kawasan TNRAW dan dianalisis secara deskriptif. Berdasarkan kontribusi variabel dengan mengggunakan maxent, variabel yang memiliki pengaruh terbesar dalam kejadian kebakaran hutan di TNRAW adalah curah hujan, tutupan lahan, dan biomasa. Curah hujan yang relatif rendah di TNRAW didukung dengan tutupan lahan savana di TNRAW meningkatkan bahan bakar untuk terjadinya kebakaran hutan dan lahan. Validasi model mencapai 0,918 yang menunjukkan tingkat validitas model yang cukup baik. Berdasarkan hasil wawancara, masyarakat memiliki kebiasaan untuk memperluas lahan kebun dan masuk kedalam kawasan guna meningkatkan ekonomi masyarakat karena rendahnya peningkatan lapangan pekerjaan yang tidak sebanding dengan jumlah pertumbuhan penduduk. Pembukaan lahan dilakukan dengan cara pembakaran hutan, hal ini disebabkan karena pembakaran lahan dinilai salah satu cara yang efektif, mudah, cepat, dan relatif murah dibandingkan dengan metode lain., Forest and land fires are always an annual agenda in the Rawa Aopa Watumohai National Park, this has many impacts on social, economic, ecological and human health aspects. This research aims to analyze the factors and variables in the occurrence of forest fires in Rawa Aopa Watumohai National Park (RAWNP), build a model and map of forest and land fire vulnerability in RAWNP, and society's social and economic influence on the occurrence of forest and land fires in RAWNP. The data used to build the fire vulnerability model is hotspot data from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite and the RAWNP. The variable data used is climate data, proxies from human activities, and biophysics. The variable data used was tested for multicollinearity, and a forest and land fire model was carried out using maximum Entropy (maxent) machine learning. The economic and social influence of the community was carried out using the interview method by selecting respondents using snowball. Interviews were conducted in five villages within the TNRAW area and will be analyzed descriptively. Based on the contribution of maxent variables, the variables that have the most significant influence on forest fires in TNRAW are rainfall, land cover, and biomass. Relatively low rainfall in TNRAW, supported by savanna land cover, increases fuel for forest and land fires. Model validation reached 0.918, showing a good model validity level. Based on the results of interviews, the community has a habit of expanding their plantation area to improve
Keyword: curah hujan, kebakaran hutan dan lahan, kerawanan kebakaran, Maxent

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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