Judul: Keanekaragaman Selaginella di Jawa Barat.
Abstrak: Selaginella is a genus of ferns in the family Selaginellaceae. It is characterized by having small leaves and the spongarium on the tip of each branch. The society of West Java have been a long time used Selaginella as vegetable and dill, but the taxonomic information of Selaginella in West Java is still poorly known. The aim of this research was to describe the diversity of Selaginella in West Java. This research used 316 herbarium specimens of Selaginella collected by Plant Taxonomy Laboratory, Department Biology of Bogor Agricultural University and Herbarium Bogoriense Botanical, Research and Development Cibinong. From each specimen was observed the mophological characters, recorded the spread site, identified, then arranged the identification key. This study showed that 18 species found in West Java, namely S. aristata, S. biformis, S. ciliaris, S. frondosa, S. intermedia, S. involvens, S. mayeri, S. opaca, S. ornata, S. plana, S. remotifolia, S. rothertii, S. subalpina, S. subspinulosa, S. uncinata, S. willdenovii, S. zollingerian and Selaginella sp 1. Selaginella is able to live at altitudes ranging from 20 m above sea level (asl) to > 2500 m asl, with a variety of habitats including primary forest, in the rice fields, near the waterways, and in the open area. An identification key of Selaginella in West Java was provided in this paper.
Keyword: identification key, Selaginella, taxonomic, West Java.

Judul: Metabolomic Analysis of Selaginella spp. (Selaginellaceae) and its Potential as Medicinal Plants
Abstrak: Selaginella merupakan salah satu marga tumbuhan paku dari suku Selaginellaceae yang memiliki keragaman spesies yang tinggi di daerah tropis dan subtropis. Selaginella memiliki potensi dan manfaat yang cukup besar terutama dalam bidang kesehatan, khususnya dapat dimanfaatkan sebagai tumbuhan obat. Namun, informasi metabolit pada Selaginella spp. masih terbatas. Penelitian ini bertujuan menganalisis metabolit pada Selaginella spp. yang dapat dimanfaatkan sebagai obat dan dapat digunakan sebagai pembeda antar spesies. Metode penelitian yang dilakukan meliputi preparasi sampel, ekstraksi sampel, analisis kandungan metabolit dengan LC-MS/MS, dan analisis data. Analisis metabolomik meliputi identifikasi metabolit menggunakan perangkat lunak MZmine 3.1.0 beta, analisis profil metabolit, klaster heatmap, dan analisis gugus menggunakan MetaboAnalyst 5.0. Hasil analisis menunjukkan sebanyak 113 metabolit terdeteksi pada tiga spesies Selaginella yang diamati. Analisis gugus berdasarkan ciri metabolit mengelompokan seluruh individu menjadi 3 kelompok sesuai dengan spesiesnya. Metabolit Selaginella willdenowii lebih mirip Selaginella ornata dibandingkan dengan Selaginella plana. Beberapa senyawa yang terdeteksi memiliki manfaat penting dalam bidang pangan, kesehatan, dan kecantikan. Senyawa aloeresin a, naringin, rhoifolin, isoschaftoside, isovitexin 2''-oarabinoside, 4-vinylphenol, dan isofraxidin merupakan kandidat penanda kimia pada Selaginella plana. Senyawa velutin, aspalathin, 2-hydroxybenzaldehyde, gardenin a, catechol, dan n-(1,1-dimethyl-3-oxobutyl)acrylamide merupakan kandidat penanda kimia pada Selaginella ornata. Senyawa kapakahine b, dihydrojasmonic acid, linoleic acid, alantoic acid, menaquinone, dan nandrolone merupakan kandidat penanda kimia pada Selaginella willdenowii., Selaginella is a genus of Pteridophyta from the Selaginellaceae which has high diversity in tropical and subtropical areas. Selaginella has considerable potential and benefits, particularly it can be used as a medicinal plant. However, information on metabolites in Selaginella spp. is still limited. This study aimed to analyze the metabolite compounds in Selaginella spp. which can be used as medicine and as a biomarker to differentiate among species. The research methods included sample preparation, sample extraction, analysis of metabolite content by LC-MS/MS, and data analysis. The metabolomic analysis included the identification of metabolites using MZmine 3.1.0 beta software, analysis of metabolite profiles, and cluster analysis using MetaboAnalyst 5.0. The results of the analysis showed that as many as 113 different metabolites were detected in the three Selaginella species. Metabolite based cluster analysis grouped all individuals into 3 groups according to the species. Selaginella willdenowii metabolites are more similar to Selaginella ornata than Selaginella plana. Some of the metabolites detected have important benefits for food, health, and beauty. Aloeresin a, naringin, rhoifolin, isoschaftoside, isovitexin 2''-o-arabinoside, 4- vinylphenol, and isofraxidin compound are candidate chemical markers in Selaginella plana. Velutin, aspalathin, 2-hydroxybenzaldehyde, gardenin a, catechol and n-(1,1-dimethyl-3-oxobutyl)acrylamide compound are candidate chemical markers in Selaginella ornata. Kapakahine b, dihydrojasmonic acid, linoleic acid, alantoic acid, menaquinone, and nandrolone compound are candidate chemical markers in Selaginella willdenowii.
Keyword: cluster analysis, heatmap, LC-MS/MS, metabolite

Judul: Approximation of the Median of Poisson Distribution Using the Relation of Poisson-Gamma Distribution
Abstrak: A major drawback of median is that median cannot usually be defined in closed form, even in the cases where their distribution functions are known. This study gives an approximation of the closed form for the median of the Poisson distribution by using the relation of Poisson-Gamma distribution. The approximation uses elementary techniques based on the monotonicity of certain sequences involving tail probabilities of the Poisson distribution and the Central Limit Theorem. Furthermore, a closed form expression for the mean absolute deviation 􀜧|􀜰􀰒 􀵆 􀜯􀝁􀝀􁈺􀜰􀰒􁈻| is also studied. The median is relevant because of the fact that it minimizes the mean absolute deviation of a Poisson random variable (􀜰􀰒􁈻 by considering median as central tendency.
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