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: Kandungan Mineral Kalakai (Stenochlaena Palustris) yang Tumbuh pada Jenis Tanah Berbeda serta Dimasak dengan Cara Berbeda
Abstrak: Kalakai (Stenochlaena palustris) is one of the local vegetables commonly available in the Palangkaraya. Previous research states that kalakai has a relatively high content of nutrients like beta carotene, folic acid, as well as some important minerals. Local communities (Dayak people) in Central Kalimantan and surrounding used to consume kalakai, especially mothers after child-birth.Kalakai has been recognized as an important vegetable to boost milk supplies for mothers who are breast-feeding. Kalakai was unique, because it can grow on various soil types, even on nutrient-poor soil. Therefore, this research aims to determine the effect of different types of soil on the mineral content of kalakai, and influence of processing on the mineral content. The sampling was conducted at five sites with different soil. They are peaty soil, sulphate acid soils, quartz sand soil, and alluvial soil in January and February. All of the samples were given four different treatments, boiling, frying, steaming and fresh (no treatment). Samples were analyzed moisture, ash, and minerals. Analysis of mineral content using Atomic Absorption Spectrophotometer (AAS) Perkin Elmer 1100B. The type of soil affect the content of minerals in the tip of kalakai leaf. It which grown on peaty soil containing a rather high of mineral Mg, Ca, Zn, Mn, which continuously reach to 5160, 6399, 134.6, 158 ppm, while Fe, Cu, and Al with a low successive level of 117.2, 4.5, 20.5 ppm. The pH of peaty soil in this study was 6.08, allegedly still quite a lot of minerals which can be absorbed by plants. Kalakai which grown on acid-suphate soil contains high Fe and Al i.e. 336.4 and 76.4 ppm. The high micro-mineral Al and Fe in acid-sulphate soils due to soil pH is low. Kalakai grown on quartz sand soil containing high minerals Ca, Cu, and Al, namely 6299, 25.1, and 58.1 ppm, respectively, while other minerals such as Mg, Fe, Zn, and Mn were low, it implies in the amount of 4598, 65, 86.8, and 65.9 ppm, respectively. Kalakai grown on alluvial soil is found that the content of Cu quite high, i.e. 7.26 ppm, whereas Fe, Mn, and Al content were low respectively 52, 63.4, and 5.3 ppm. Relatively low mineral content on kalakai of quartz sand and alluvial soil allegedly because of the low element nutrients contained in these soil types. Results of analysis of total mineral or ash content in various ways of cooking show that kalakai has a different total mineral content. Total minerals from the lowest to the highest were kalakai cooked by boiling, frying, steaming and fresh or without treatment of cooking. Cooking process give an effect to mineral content of kalakai. The process of boiling is the highest role in decreasing Mg (21-68%), Cu (11-60%), Ca (39%) and Mn (8- 38%). Other minerals such as Zn and Fe decreased by frying in the amount of 14-37% and 9-43%, respectively. The whole minerals, except Cu, still in the recommended daily intake limit, if assumed that one portion of kalakai is 50 gram dry basis.
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