Judul: Pemurnian dan Karakterisasi Enzim Keratinase dari Bacillus sp. BE-1
Abstrak: The keratinase studied in this research is an extracellular protease produced by Bacillus sp. BE-1. Feather meal substrates were prepared from native chicken feather, treated by sodium hydroxide at temperature of 1000C for 15 minutes to render crude keratinase extract. The crude keratinase was then purified by 2 steps of coloumn chromatography which are Hydrophobic Interaction Chromatography (HIC) and Gel Filtration Chromatography (GFC). Butyl Sepharose (HIC) increased keratinase activity to 67-fold. Further purification using Sephacryl S200-HR (GFC) increased keratinase activity up to the range of 116-515 fold. The highest specific activity of the keratinase was 35,9 U/mg with feather meal as substrate. This keratinase can be completely inhibited by ethylene diamine tetra acetic acid (EDTA). Additon of Mn2+ increased this keratinase activity significantly (about 51-fold) while Mg2+ increased the activity slightly (about 3-fold). Zymogram analysis resulted in that the purified keratinase consisted of two proteases with molecular weight 82 kDa and >97 kDa.
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Judul: Isolasi, Pemurnian Parsial, dan Karakterisasi Enzim Kitinase dari Bacillus sp. BPPT CC 2
Abstrak: Chitinase is a potential enzyme due to its acitvity hydrolyting chitin to its derivates. Therefore, it can be used for various applications, such as agriculture, microbiology, and cosmetic. This study aimed to isolate, purify, and characterize (pH, temperature, metal ion effect, molecular weight, and kinetic parameters) chitinase of Bacillus sp. BPPT CC 2. Ammonium sulphate precipitation and dialysis were used for enzyme purification. Enzyme was characaterized its optimum pH and temperature, metal ions, molecular weight, as well as kinetic parameters. The results showed that enzyme was well precipitated using 80% ammonium sulphate. After dialyzed, level of enzyme purity increased 6.58 fold with specific activity of 0.0924 U/mg. Results showed that the optimum temperature and pH of chitinase were found at 55ºC and pH 5. Value of Km and Vmaks values were 2.705x10-4mg/L second and 0.6959 mg/L. Predicted molecular weight of chitinase was 103 kDa. Addition of metal ions Mn2+and EDTA (5 mM and 10 mM) act as activators of chitinase
Keyword: Bacillus sp. BPPT CC 2, characterize, chitinase, kinetic parameter, purification

Judul: Peramalan Inflow Bulanan DAS Saguling Berdasarkan Curah Hujan Bulanan
Abstrak: DAS Citarum merupakan DAS yang penting bagi kehidupan masyarakat dan industri, khususnya di Jawa Barat. Waduk Saguling merupakan bagian dari DAS Citarum yang terletak di bagian hulu yang mempunyai peranan yang cukup penting, sebagai daerah takaran hujan yang paling luas dari DAS Citarum. Besarnya inflow pada sungai sangat dipengaruhi oleh hujan yang terjadi di lokasi tersebut. Adanya variasi curah hujan baik pengaruh global maupun pengaruh lokal akan menyebabkan adanya anomali aliran. Hal ini perlu diantisipasi agar dampaknya tidak merugikan masyarakat. Karena itu peramalan curah hujan di daerah DAS Saguling diharapkan dapat membantu dalam membuat perencanaan pengelolaan air pada waduk Saguling dan DAS Citarum. Hasil interpolasi pola curah hujan bulanan DAS Saguling terlihat adanya sifat siklik (berulang) dan tren. Berdasarkan ini, peramalan (forecast) curah hujan menggunakan metode Box-Jenkins. Dengan adanya sifat kausal antara curah hujan dan inflow, maka inodel regresi antara curah hujan hasil peramalan dan inflow digunakan untuk melakukan peramalan inflow. Model ini dibandingkan dengan model fungsi transfer. Model peramalan ARIMA, regresi, dan fungsi transfer menggunakan data tahun 1986-2001, sedangkan evaluasinya menggunakan data tahun 2002. Hasil analisis komparatif menunjukkan adanya hubungan erat antara curah hujan dengan inflow bulanan DAS Saguling. Curah hujan langsung dikonversi menjadi inflow untuk bulan tersebut sebesar 68 persen, sedangkan sisanya (32%) berkontribusi nyata pada inflow bulan berikutnya. Model ARIMA (1,0,0)(1,0,1)12Yt merupakan model paling optimum dalam meramalkán curah hujan bulanan bagi DAS Saguling, dengan nilai bias sebesar 88.769 dan MAPE sebesar 498.04. Model regresi Y₁ = 0.257 + 0.45 X, + 0.369 X1 + ARIMA (10,1,2) (1,0,1) 12 a, dapat meramalkan inflow bulanan DAS Saguling dengan kesalahan sebesar 46.7, MSE sebesar 283.993, dan MAPE sebesar 182.121. Model fungsi transfer (2,1,0) dapat meramalkan inflow lebih baik daripada model regresi, dengan kesalahan peramalan lebih kecil daripada model regresi, yaitu sebesar 38, dengan MSE sebesar 158.5 dan MAPE sebesar 147.7.
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