Judul: Isolasi dan Identifikasi Bakteri Kitinolitik Penghambat Pertumbuhan Cendawan Patogen Asal Kokon Cricula trifenestrata
Abstrak: Gold Silkworm’s cocoon is a coat of Cricula trifenestrata’s pupa that include part of life cycle. The fiber which is resulted from processing cocoon has high economic value because the specific of gold colour that doesn’t have any else cocoon. However, on the process often occurred many problems that could decrease quantity and quality of cocoon, such as attack from pathogenic fungi. For controlling of the pathogenic fungi has been used chemical agent, but using regularly caused some negative effects. As alternative using chitinolytic bacteria as biocontrol, because of chitin is the highest component of the fungi cell wall. Therefore the objectives of this research were to isolate and identify of chitinolytic bacteria that inhibited fungi pathogen which isolated from cocoon of C. trifenestrata. 17 strains chitinolytic bacteria were isolated from two samples cocoon of health pupa and sick pupa. There were four isolates CH2, CH10, CS1, and CS4 had highest value of chitinolytic index. CH10 and CS1 strains showed highest chitinase activity, both isolates were identified using MicrogenTM GenA+B ID System and categorized as Shewanella putrefaciens. Scopulariopsis sp. and FC (unidentified) were isolated from cocoon of sick pupa. Strain CH10 inhibited FC on culture bacteria test but not from its in chitinase. Scopulariosis sp. had been inhibited by culture and its chitinase.
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Judul: Isolasi Bakteri Proteolitik, Karakterisasi, dan Aplikasi Enzim Protease pada Kokon Cricula trifenestrata
Abstrak: Goldsilk is silk fiber that made by human which it get from Cricula trifenestrata cocoon. Existence of proteolitic bacterias from cocoon have potential to influence quality of goldsilk. The aims of the experiment were to get proteolytic bacteria, characterize the protease enzyme and apply protease on goldsilk cocoon. A total of 26 proteolytic bacteria were isolated from good and bad cocoons. Nutrient Broth (NB) and Nutrient Agar (NA) containing 1% skim milk used as growth media. Isolate CKH 7 and CKK 7 are selected for protease production because they have the highest protease activity. CKH 7 and CKK 7 were identified as Aeromonas salmonicida ssp salmonicida and Vibrio fluvialis. Highest protease productivity reached after 9 hour incubation. Optimum protease activity of isolate CKH 7 at pH 8 and temperature 25 °C. Its activity increased by the presence of 2 mM Na2+ and Ca2+. Activity isolate CKK 7 optimum showed at pH 5, reached after 12 hour incubation and temperature 35°C. Its activity increased by the presence of 2 mM Cu2+, Co2+ and Ca2+. Protease of CKH 7 characterized as metalloprotease. Result of submerge cocoon in protease and continued by NaOH 0,1 N are fiber be clean, shiny, and not easy cut off.
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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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