Judul: Sistem Bonus Malus dengan Frekuensi Klaim Berdistribusi Geometrik dan Ukuran Klaim Berdistribusi Weibull
Abstrak: Bonus-Malus system is one of systems implemented by an insurance in calculating the risk premium based on claim history from each policyholder. In this work we discussed two different types of Bonus-Malus system namely the classical Bonus-Malus system and the optimal Bonus-Malus systems. The classical Bonus-Malus system sets the risk premium by taking into account only the number of accidents of each policyholder. While the optimal Bonus-Malus system sets the risk premium by taking into account both the frequency and the severity of the claims of each policyholder. Both of the Bonus-Malus systems are then compared, with the number and size of the claims and insured persons are assumed to follow respectively a geometric and a Weibull distributions. The risks faced by each policyholder are different such that the number and size of the claims experienced by each policyholder are also different. Fu r t h e rmo r e , posterior distribution o f severity and frequency claim parameters is estimated by using Bayes method. Subsequently, solutions of both systems are obtained in term of future premium based on claim history from each policyholder.
Keyword: Bogor Agricultural University, Weibull distribution., geometric distribution, Bonus-Malus systems

Judul: Sistem Bonus-Malus dengan Frekuensi Klaim Berdistribusi Binomial Negatif dan Besaran Klaim Berdistribusi Weibull
Abstrak: Sistem bonus-malus merupakan sistem asuransi di mana pemegang polis mendapatkan penurunan harga premi (bonus) jika pemegang polis tidak mengajukan klaim, sedangkan pemegang polis yang mengajukan klaim mendapatkan penambahan harga premi (malus). Perusahaan asuransi harus menghitung harga premi dengan tepat agar tidak terjadi kerugian bagi perusahaan maupun pemegang polis. Pada karya ilmiah ini dijelaskan dua model sistem bonus-malus yaitu sistem bonus-malus klasik yang penghitungan preminya bergantung pada frekuensi klaim pemegang polis dan sistem bonus-malus optimal yang penghitungan preminya bergantung pada frekuensi dan besaran klaim yang diajukan pemegang polis. Diasumsikan frekuensi klaim menyebar binomial negatif dan besaran klaim menyebar Weibull. Hasil simulasi menggunakan data hipotetik yang dibangkitkan menggunakan perangkat lunak Wolfram Mathematica 11.2 dapat menunjukkan sistem bonus-malus yang lebih adil.
Keyword: sistem bonus-malus, sebaran binomial negatif, sebaran Weibull

Judul: Pemurnian dan karakterisasi protein inhibitor RNA helikase virus hepatitis C
Abstrak: Hepatitis C virus (HCV) infection is the second most common chronic viral infection in the world with global prevalence. This infection is contribution to chronic hepatitis and liver cirrhosis, often leading to hepatocellular carcinoma. There is no effective drug and vaccine available against HCV. The current standard treatment, a combination of pegylated interferon-α with ribavirin, is limited by its suboptimal response rate in a significant patient population, side effects, and affordability. Therefore, development of effective drug is needed. One approach to find out the candidate of antiviral drug is to discover the inhibitor of enzyme that essential for virus replication, such as RNA helicase. Streptomyces chartreusis 5-095 produce the inhibitor of HCV RNA helicase. The aim of this study was to purify the protein inhibitor which has inhibition activity against ATPase activity of RNA helicase HCV from S. chartreusis 5-095. The supernatant of culture S. chartreusis 5-095 exhibited high inhibiton activity against ATPase activity of RNA helicase HCV (approximately 72%) at 10 days of incubation. The extracellular protein inhibitor was partially purified by procedures of precipitation with ammonium sulfate to 65% saturation and gel filtration (Sephadex G50) using methanol water solution (4:6) as an eluen. The purity of protein inhibitor was monitored by SDS PAGE. The protein inhibitor showed a relative molecular mass were estimated to be 14 kDa and increased the purity 23,08 fold than those of the crude protein. The specific activity and IC50 after purification were 13,1338 U/mg and 0,0767 mg/mL, respectively. The activity of purified protein inhibitor showed its stability over pH range from 5-8 and optimum at pH 7,4. The inhibition activity showed its stability up to 70% at temperature 100 oC. The purified protein inhibitor relatively stable its activity at storage in the range of -20 oC to room temperature for 35 days.
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