Judul: Simulasi Total Kerugian Asuransi Menggunakan Deductible Dan Limited Coverage
Abstrak: Polis asuransi adalah kontrak yang dibuat oleh perusahaan asuransi dengan peserta asuransi. Pada tugas akhir ini, perusahaan asuransi menerapkan kebijakan deductible dan limited coverage. Untuk mendesain polis, perusahaan asuransi harus memperkirakan total kerugian yang akan ditanggung oleh perusahaan tersebut. Pemodelan total kerugian dilakukan dengan cara menggabung sebaran frekuensi kerugian yang menyebar Poisson dan sebaran tingkat keparahannya yang menyebar Pareto. Dalam penelitian ini digunakan metode simulasi untuk memperkirakan total kerugian, menentukan premi, menghitung keuntungan yang diperoleh perusahaan asuransi, dan membandingkan hasil perkiraan total kerugian antara metode simulasi dengan hasil secara analitik. Menggunakan data yang dibangkitkan melalui software Mathematica 11.0, dapat disimpulkan bahwa metode simulasi adalah metode yang cukup baik untuk memperkirakan total kerugian perusahaan asuransi.
Keyword: sebaran gabungan Poisson-Pareto, simulasi, total kerugian

Judul: Penentuan Sebaran Total Kerugian Asuransi Kendaraan
Abstrak: Kerugian agregat merupakan total kerugian pemegang polis yang harus ditanggung oleh perusahaan asuransi dalam periode waktu tertentu. Kerugian agregat dapat dihitung dengan menentukan sebaran total kerugian pada periode sebelumnya. Karya ilmiah ini menggunakan Loss Distribution Approach (LDA) yaitu metode untuk menghitung sebaran total kerugian dengan mempertimbangkan banyaknya klaim dan besarnya klaim yang dihitung dengan model sebaran compound. Metode rekursif Panjer digunakan untuk mendapatkan model sebaran compound, kemudian diperoleh nilai Value at Risk (VaR) dan Expected Shortfall (ES). Untuk data klaim asuransi kendaraan di Australia periode 2004-2005, diperoleh banyaknya klaim menyebar Zero Truncated binomial negatif dan besarnya klaim menyebar invers Gauss, lognormal, dan Pareto. Untuk menghitung VaR dan ES, sebaran yang paling baik untuk besar klaim adalah sebaran invers Gauss karena paling mendekati VaR dan ES empiris., Aggregate loss is the total loss of the policyholder that must be paid by the insurance company within a certain period of time. Aggregate losses can be calculated by determining the distribution of total losses in the previous period. This scientific work uses the Loss Distribution Approach (LDA), which is a method for calculating the distribution of total losses by considering the number of claims and the amount of claims calculated using the compound distribution model. Panjer recursive method is used to obtain a compound distribution model, and then the Value at Risk (VaR) and Expected Shortfall (ES) values are obtained. For vehicle insurance claims data in Australia for the period 2004-2005, the number of claims have a Zero Truncated negative binomial distribution and the amount of claims have inverse Gaussian, lognormal, and Pareto distribution. To calculate VaR and ES, the best distribution for the amount of claims is the inverse Gaussian distribution because it is closest to the empirical VaR and ES.
Keyword: Expected Shortfall, kerugian agregat, metode rekursif Panjer, , Value at Risk

Judul: Biology and ecology of the buffalo fly, haematobia exigua de meijere (diptera:muscidae)
Abstrak: The life history of the buffalo fly was observed at room temperature of 27°-29.5°C and at a relative humidity of 48-68 percent. The eggs hatched after 17-22 hours, with an average of 18 hours. First instar larvae measured 1.25 + 0.16 mm long and 0.27 + 0.037 mm wide. reach the second larval stage. It took 6-12 hours to the second instar larvae measured 2.676 +0.187 mm long and 0.353 +0.028 mm wide. The second instar took about 12-24 hours to reach the third larval stage. The third instar measured 6.833 + 0.189 mm long and 0.919 + 0.051 mm wide. It took about 2-3 days for the third instar to become pupae. Duration of the pupal stage was about 5-7 days before the adults emerged. Under laboratory condition, the buffalo fly completed its life cycle in 9.5 to 10.5 days, whereas under field condition it took 9-14 days with an average of 10.5 days. The growth ratio which was based on the measurements of the cephalo-pharyngeal skeleton of each instar was 1.797. The preoviposition period was 8-12 days and mating usually occurred on the 6th or 7th day. The longevity of the male was 29 days, whereas it was 32 days in the female. The range of egg production under laboratory condition was between 20-139 per female fly. The belly and hind legs of the carabao were the most preferred habitat either during cloudy and cool dry or shiny and warm day. When the weather was clear and the carabao was in the shade, the flies tended to be more distributed particularly on the shoulder, dewlap, back and horns. The carabaos had relatively fewer Musca sp. and Stomoxys calcitrans than cattle; never the less carabaos had a higher infestation of buffalo fly than cattle. Oviposition occured either during the day or night but the buffalo flies were more active during the night than in the day time. The effect of various lengths of exposure time of manure in relation to the oviposition was profound. observed, the maximum number of the buffalo flies was occurred when the dung was exposed for 30 minutes. With increasing time of exposure the number and variety of insects also increase. It was evident that Sepsidae and psychodidae were the most dominant insects emerging from the dung. The number of buffalo flies also increased with increasing
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