Judul: Spatial Modelling on Susceptibility of Fires in Peatland, a Case Study in District of Bengkalis, Riau Province
Abstrak: Peatland is one of ecosystem types in Indonesia which plays important role in maintaning terrestrial carbons, hydrological cycles and preserving biodiversity. Recently, most of the peatland (forest and non forest) has been degraded. One of the causes of degradation is fire. This study was conducted to establish a model and map of peat fire risk in District of Bengkalis, Riau Province. The model was established by hotspot distribution as an indicator of fire occurrences. Environmental and infrastructure aspects were employed as supportive factors to fire. Factors which were used to describe the environmental aspect were landcover and vegetation types, peat depth, and greenness level of vegetation. Factors of infrastructure aspect were the distance of fire occurrences with road network, distance to the river network and to the center of villages. Weighting and scoring were the basis of model development using the method of Complete Mapping Analysis (CMA). The model suggested that peat fire is more strongly affected by infrastructure aspect when compared with environmental aspect with the weight of 0.658 and 0.342 respectively. This explains that fires occurred were triggered more by human factor rather than environmental factor. The chosen factor of infrastructure aspect is distance from occurenced fires of road network. The selected environmental aspects were landcover and vegetation types, peat depth and greenness level of vegetation. Seemingly, the distance of river and center of villages may not be the supportive factors of peat fires, as showed by the presence of hotspots in which found mostly in the area far from the river and village center. The model can explain the condition of average of fire occurrences with the validation of 80%. Therefore, it can be used as the referrence in developing and establishing of polic ies for peat fire prevention and suppression.
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Judul: Modeling the Distribution of Fire Prone Areas Using the Maximum  Entropy Model (Case Study of PT Jambi Batanghari Plantation)
Abstrak: Land and forest fires in Indonesia are regional and global disasters that emerge adverse impacts on the surrounding environment and biome. These events are important to be studied further in order to provide information for prevention and management of land and forest fires. One of the information required is the level of fire susceptibility in an area. The method performed in predicting fire-prone areas in this study is maximum entropy. This model can identify the distribution of fire prone areas and determine the most influential parameters. The maximum entropy model input is divided into 2, namely the sample input and the environmental layer input. The fire hazard map is generated from the probability value of fire occurrences in each pixel area. The most influential parameters are land cover, radiation, wind speed, and peat depth, with 33.6%, 17.6%, 14.1%, and 13.4% contribution, respectively. Land cover in areas with high fire susceptibility are shrubs, built-up land, and oil palm plantations. This land cover is located in peatlands with more than 3 meters depth and also mineral soils. This MaxEnt model has an AUC accuracy value of 0.85., Kebakaran hutan dan lahan di Indonesia adalah peristiwa bencana regional dan global yang banyak memberikan dampak negatif bagi lingkungan dan mahluk hidup di dalamnya. Kejadian-kejadian kebakaran di Indonesia ini perlu dikaji, terutama untuk dapat memberikan informasi bagi usaha-usaha, pengelolaan untuk mencegah kebakaran hutan dan lahan. kebakaran hutan dan lahan. Salah satu informasi yang diperlukan adalah mengetahui tingkat kerawanan kebakaran di suatu wilayah. Metode yang digunakan dalam memprediksi wilayah rawan kebakaran pada penelitian ini maximum entropy. Model ini dapat digunakan untuk memetakan distribusi wilayah rawan kebakaran dan menentukan parameter yang paling berpengaruh. Input model maximum entropi terbagi menjadi 2 yaitu input sample dan input environmental layer. Peta kerawanan kebakaran dihasilkan dari nilai probabilitas kejadian kebekaran di setiap pixel area. Parameter yang paling berpengaruh adalah parameter tutupan lahan, radiasi, kecepatan angin, dan kedalaman gambut masing-masing yaitu 33,6%,17,6%, 14,1%, dan 13,4%. Tutupan lahan yang berada pada wilayah dengan kerawanan kebakaran tinggi adalah semak belukar, lahan terbangun, lahan persemaian kelapa sawit, dan perkebunan kelapa sawit. Tutupan lahan ini berada di kawasan gambut dengan kedalaman 3 meter atau lebih dan juga tanah mineral. Model MaxEnt ini memiliki nilai akurasi AUC sebesar 0,85.
Keyword: Maximum Entropy, Hotspot, Environmental Layer, Normalized Burn Ratio, Peat

Judul: Karakteritsik kimia dan organoleptik tablet effervescent putih telur bersitarasa lemon dengan konsentrasi effervescent mix yang berbeda
Abstrak: Egg is an animal origin food product which has high nutritional value especially protein. Cholesterol content of eggs is only found in egg yolk, on the other hand albumen does not countain cholesterol at all but high content of protein, so it can be used as a free cholesterol-protein sources. The application of albumen as egg instant drink effervescent tablet can be an alternative of protein source for people who need free-cholesterol diet. It can also become an egg product diversification.
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