Judul: Tabel Volume Lokal Kayu Bulat Merbau (Intsia Spp.) Di Areal Kerja Iuphhka-Ha Pt Wijaya Sentosa Papua Barat
Abstrak: Merbau (Intsia spp.) merupakan satu diantara jenis pohon yang memiliki nilai ekonomi tinggi dan populasinya menurun dari waktu ke waktu. Penyusunan tabel volume lokal kayu bulat merbau untuk menduga besarnya volume potensial kayu bulat yang dapat dikeluarkan dari hutan. PT Wijaya Sentosa merupakan perusahaan yang melakukan pengelolaan hutan alam di Kabupaten Teluk Wondama, Provinsi Papua Barat. Penelitian ini dilakukan dengan menyusun dan memilih model persamaan tabel volume lokal kayu bulat dengan menggunakan variable bebas berupa diameter setinggi dada atau 20 cm di atas banir pada 110 contoh pohon. Pemilihan model terbaik mempertimbangkan indikator nilai R2 dan uji F untuk tahap penyusunan model dan nilai chi-square (χ2), SA, SR, Bias, standard error (SE), dan RMSE untuk tahap validasi model. Model penduga terbaik adalah V=0.000223872D2.39 dengan nilai R2 99.3%, nilai RMSE 8.81%, dan nilai bias 0.33%. Hasil penelitian ini berupa tabel volume lokal kayu bulat merbau dan diharapkan dapat menjadi sumber pertimbangan dalam pengelolaan hutan.
Keyword: kayu bulat, model penduga, Intsia spp, tabel volume

Judul: Penyusunan Tabel Volume Lokal Jenis Merbau (Intsia spp.) di Areal Kerja IUPHHK-HA PT. Arfak Indra Kabupaten Fakfak Provinsi Papua Barat
Abstrak: Development of forest management plans required an accurate data and can be obtained quickly in the process of forest inventory. One of tool in forest inventory such as tree volume table made by equation and a mathematical model that describe relation between tree volume and pridictor variables. The purpose of this research is to develop tree volume table of Merbau (Intsia spp.). The local volume table can be applied in working area of IUPHHK-HA PT Arfak Indra, West Papua and only as well as other location that have some habitat conditions. This research tried three alternatives of mathematical models, such as Berkhout, Kopezky and Gehrhardt Horenald-Krenn model. The criterias of model selection is Standard Deviation (s), Coefficient of Determination (R2), Standard Deviation Aggregate (SA), Average Standard Deviation (SR), Root Mean Square Error (RMSE), and Predicted Residual of Sum Square (PRESS). The best estimate equation model is Berkhout equation. The Berkhout equation model is V = 0.00025 dbh2.33 with the values of s = 0.071, R2 = 97.5%, SA = -0.0240, SR = 13%, RMSE = 18%, PRESS = 0.514402.
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Judul: Durability of Specific Immunoglobulin (Ig) Y Againts Influenza and Covid-19 in Sunscreen
Abstrak: The benefit of specific immunoglobulin Y (Ig Y) as an active ingredient in personal care products such as sunscreen has not been properly studied. Our study aims to evaluate the reliability of specific IgY against influenza and the COVID-19 virus in a sample sunscreen product. Specific IgY influenza and COVID-19 viruses were inserted in the sample sunscreen at two concentrations of 0.1% and 0.25%. Three treatments were observed: control (C) sunscreen without IgY, treatment 1 (T1) sunscreen with 0.1% IgY, and treatment 2 (T2) sunscreen with 0.25% IgY. Organoleptic observations were carried out to monitor changes in aroma, color, and texture, and sunscreen sampling was done every week for 6 weeks. The durability of IgY was evaluated using an enzyme-linked immunosorbent assay (ELISA) and a neutralization assay. Organoleptic observation from weeks 1 to 6 showed consistency in its aroma, color, and texture. Enzyme-linked immunosorbent assay and neutralization assay (NA) results of the T1 and T2 groups showed negative results except for sample T1 at week 5, which showed a positive result in the Influenza A ELISA. Based on the results, it seems that IgY concentrations of 0.1% or 0.25% were not optimal. However, this negative result might be due to low concentration of the IgY and the presence of beeswax, which inhibits IgY and causes it to dissolve in distilled water, thus preventing it from being detected in the assay.
Keyword: Immunoglobulin Y, Sunscreen, Influenza, COVID-19, Biological Activity