Judul: Analisis Risiko Operasional Menggunakan Pendekatan Distribusi Kerugian dengan Metode Agregat.
Abstrak: Operational risk is defined as the risk of loss resulting from inadequate or failed internal processes or external problems. Insurance companies as financial institution that also faced at risk. Recording of operating losses in insurance companies, were not properly conducted so that the impact on the limited data for operational losses. In this work, the data of operational loss observed from the payment of the claim. In general, the number of insurance claims can be modelled using the Poisson distribution, where the expected value of the claims is similar with variance, while the negative binomial distribution, the expected value was bound to be less than the variance. Analysis tools are used in the measurement of the potential loss is the loss distribution approach with the aggregate method. In the aggregate method, loss data grouped in a frequency distribution and severity distribution. After doing 10.000 times simulation are resulted total loss of claim value, which is total from individual claim every simulation. Then from the result was set the value of potential loss (OpVar) at a certain level confidence.
Keyword: 

Judul: Kajian Beberapa Metode Pendugaan Nilai Resiko Operasional
Abstrak: Measurement of risk value caused by operational risk is an important procedure for doing a good operational risk management, because of that the measurement should done as precise as possible. The characteristic that differ from other type of risk made operational risk should handled carefully with several special methods, in result there are many alternative method proposed for the measurement. Simulation study done for four Value at Risk (VaR) estimation methods, there are kernel density estimator, transformation kernel density estimator with normal distribution (TKN), transformation kernel density estimator with modified Champernowne distribution (TKCM), and generalized pareto distribution (GPD). The result of simulation study identify that GPD gave the best result from all other methods in estimating VaR. Kernel density estimator and TKCM also gave good result although not as good as GPD. In other hand TKN gave the worst result, where the estimated value tend to underestimate on last quantiles. The application of GPD in actual data study showed that GPD can explain operational risk loss data distribution very well. The estimation of VaR(100q) resulted by GPD raise drastically as the quantil raise. Factor of Incapacity benefit have the highest financial impact of all factors, meanwhile Factor of Non-dependent deduction have the least. The result of back testing showed that GPD estimates VaR(100q) of all factors very well.
Keyword: pareto distribution, kernel transformation, operational risk, VaR

Judul: Photosensor producing based on ferroelectric material of Ba0,5Sr0,5TiO3 doped by Ferrium Oxide (Fe2O3) on a P-Type Silicon Substate Si (100) applied as a digital camera with a single pixel image sensor
Abstrak: Thin film Ba0,5Sr0,5TiO3 (BST) doped with Fe2O3 was grown on p-type silicon substrate (100) using chemical solution deposition (CSD). It used the solvent 2-methoxyethanol with annealing temperature of 850°C and the doping treatment Fe2O3 of 2.5, 5, 7.5, 10 % of the mass formed BST. Pure BST had the highest absorption of 600 nm of light wavelength. Additions Fe2O3 moves highest absorption in the range of 560 nm. Fe2O3 addition was strengthening thin film sensitivity to the effects of light. In general, doping Fe2O3 10% was result the best absorbance and current-voltage of BST thin film. Electrical properties of thin films BST include dielectric, photoconductivity, and dissipation energy. Based on the current-voltage (I-V) analysis, pure BST and doped BST showed photodiode properties. Dielectric values obtained in the range from 23.32 to 243. Based on electrical conductivity data and energy dissipation, BST thin films have shown photodiode characteristics and are therefore suitable as light sensors. The image sensor in a digital camera is also a light sensor. This BST thin film has been scientifically proven to be a light sensor and also it can be applied as an image sensor. This is a novelty image sensor based on thin film Ba0.5Sr0.5TiO3.
Keyword: barium strontium titanate, thin film, photodiode, image sensor, digital camera