Judul: Identifikasi Filet Ikan Beku Tanpa Label dengan Metode DNA Barcoding dan Analisis Bioinformatika
Abstrak: Filet Ikan beku yang beredar di pasar swalayan di Bogor beberapa tidak mencantumkan jenis spesies pada kemasannya. Produk filet ikan beku umumnya memuat nama spesies pada label kemasannya. Produk filet ikan beku tanpa label perlu diidentifikasi guna mengetahui jenis spesies yang dijadikan sebagai bahan baku produk tersebut. Penelitian ini bertujuan untuk mengidentifikasi filet ikan beku tanpa label dengan metode DNA barcoding yang efektif dalam mengidentifikasi sampel uji. Sampel yang digunakan pada penelitian ini adalah sampel filet ikan 1, filet ikan 2, filet ikan 3, dan filet ikan 4. Tahapan dalam penelitian ini meliputi preparasi sampel, uji logam berat sampel, isolasi DNA sampel, sekuensing DNA sampel, amplifikasi DNA sampel dan analisis bioinformatika. Hasil identifikasi menunjukkan keempat sampel filet ikan beku adalah daging ikan hiu biru (Prionace glauca) dengan homologi 100%. Ikan hiu biru dalam IUCN red list masuk dalam status hampir terancam punah.
Keyword: DNA barcoding, identifikasi filet ikan beku, Prionace glauca

Judul: Species Identification in Fisheries Products using Genetic Molecular Marker Cytochrome B Minibarcode
Abstrak: Fish is one of the largest food commodities, so market demand for fish is high. Fish with high economic value is one of the high market demands, this causes fraud in the sale of fish. DNA barcoding is used to identify fishery processed products as well as the authenticity of raw materials so as to reduce food safety problems. The isolation method used was Cetyltrymethyl Ammonium Bromide (CTAB) with concentration and purity testing using a Nanodrop spectrophotometer. The 25 samples consisting of frozen fish fillets, processed fishery product, and salted fish fillets from traditional and supermarket in Jabodetabek. DNA isolates have a concentration of 4,65-3172,6 ng/μL, with a purity of 1,067-2,125. An electrophoregram showed 7 samples sampled on a target DNA of 200-300bp. Analysis using BLAST showed samples detected as Makaira nigricans, Rachycentron canadum, Lates calcarifer, Priacanthus tayenus, Lepidocybium flavobrunneum, and Salmo salar. Phylogeny analysis showed the samples formed a group corresponding to database from Genbank., Ikan menjadi salah satu komoditi pangan yang cukup besar, sehingga permintaan pasar terhadap ikan menjadi tinggi. Ikan dengan nilai ekonomis tinggi menjadi salah satu permintaan pasar yang tinggi, hal tersebut menyebabkan terjadinya kecurangan dalam penjualan ikan. DNA barcoding dengan penanda genetik cytochrome b digunakan untuk mengidentifikasi produk olahan perikanan serta keaslian bahan baku sehingga dapat mengurangi permasalahan keamanan pangan. Metode isolasi yang digunakan adalah Cetyl Trymethyl Ammonium Bromide (CTAB) dengan pengujian konsentrasi dan kemurnian menggunakan spektrofotometer Nanodrop. Sampel berjumlah 25 terdiri dari filet ikan beku, produk olahan perikanan, dan filet ikan asin yang didapat dari pasar tradisional dan swalayan di Jabodetabek. Isolat DNA memiliki konsentrasi 4,65-3172,6 ng/µL, dengan kemurnian 1,067-2,125. Elektroforegram menunjukan 7 sampel teramplifikasi pada DNA target 200-300bp. Hasil analisis menggunakan BLAST menunjukan sampel terdeteksi sebagai Makaira nigricans, Rachycentron canadum, Lates calcarifer, Priacanthus tayenus, Lepidocybium flavobrunneum, dan Salmo salar. Analisis filogeni menunjukan sampel membentuk kelompok yang sesuai dengan basis data dari Genbank.
Keyword: Cytochrome b, DNA barcoding, fishery products, PCR

Judul: The Effects of Variance of Interest rate to Variance of Annuity Future Values
Abstrak: Time value of money is a concept that refers to the difference of the value of money due to time difference. The value of money for present time would not be the same as the value of money in the future. The value of money for present time is called as Present Value (PV) of the money and the value of money for future time is called Future Value (FV) of the money. Determination the value of money, for present and future time, depends on the time and rate of return. The value of money is determined by several factors such as inflation, fluctuation of interest rates, and government policy in securities and taxation. Due to fluctuation of the value of money we need a FV formulation, it is useful for knowing whether an investment can be profitable or not, and this information is useful also in budget analysis. Annuity is defined as a series of payments made for a specific period. The payment, fixed or varied, can be made at the beginning or at the end of the period. Annuity paid at the beginning of the period is called annuity-due and annuity paid at the end of the period is called immediate annuity-certain. The accumulated value of the annuity after few years later is called as a final value or a future value. Burnecki et al. (2003) have discussed about the FV of a fixed-rate annuity in which payments are made according to the arithmetic or geometric series. They have also examined FV for annuities in which payments are made according to arithmetic or geometric series with random rates of interest. This paper examines FV for annuity-due in which payments are made according to arithmetic or geometric series with interest rates as a random variable, which is normal distribution ,  . Future value formula is expressed in recursive form. FV for annuity-due which payments are made according to the arithmetic or geometric series with random rates of interest is calculated by theoretical way and simulation way. The random rates of interest is denoted as k k i  i  , where k i an independent random variable; i is a constant and k  is a random variable which has normal distribution ,  . By using the determined parameters, a sequence of random rates of interest are generated for theoretical calculation. Meanwhile for the simulation, the random rates of interest is generated 1000 times for the simulation. The generated data give mean value, variance, and standard deviation. Moreover, error of mean value, variance, and standard deviation from the theoretical and simulation results are calculated. Error calculation uses Symmetric Mean Absolute Percentage Error (SMAPE). The smaller the value of SMAPE is the more accurate the simulation. The interest rate variances are varied from 0.000036 to 0.0001 to study the relationship between variance of rates of interest and variance of future value. The theoretical and simulation results show that when the variance of random rates of interest increases, then the variance of FV increases linearly. FV of the annuity-due in
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