Judul: Motor vehicle insurance pure premium modelling with Generalized Linear Models
Abstrak: Asuransi kendaraan bermotor dapat melindungi tertanggung dari resiko kerugian yang berhubungan dengan kepemilikan dan pemakaian kendaraan bermotor. Tertanggung harus membayar biaya premi ketika membeli suatu produk asuransi. Perhitungan biaya premi murni tersebut dapat dilakukan dengan metode Generalized Linear Models yang akan dibahas pada karya ilmiah ini. Model ini mengkombinasikan nilai harapan bersyarat dari frekuensi klaim dan nilai harapan bersyarat dari jumlah klaim untuk memperoleh biaya preminya. Data yang digunakan dalam karya ilmiah ini adalah data polis asuransi kendaraan bermotor tahun 2004-2005 di Australia. Dari hasil uji kecocokan distribusi, frekuensi klaim mengikuti sebaran Poisson dan jumlah klaim mengikuti sebaran Invers Gauss. Berdasarkan analisis yang dilakukan, karakteristik yang mempengaruhi premi murni adalah tipe kendaraan, umur kendaraan, area tempat tinggal tertanggung, umur tertanggung, nilai kendaraan, dan jenis kelamin tertanggung.
Keyword: pure premium, claim frequency, claim amount, Poisson distribution, inverse Gauss distribution, link function, Generalized Linear Models

Judul: Modelling Claim Frequency of Motor Vehicle Insurance with Generalized Linear Model
Abstrak: Penting bagi suatu perusahaan asuransi untuk memperkiraan frekuensi klaim peserta asuransi di masa depan. Hal ini dapat dilakukan dengan memodelkan frekuensi klaim tersebut untuk meminimumkan kemungkinan kerugian. Terdapat beberapa faktor yang memengaruhi pendugaan frekuensi klaim. Faktor tersebut antara lain karakteristik mobil (usia kendaraan, mesin kendaraan, dan lain-lain) dan data pengemudi (usia, jenis kelamin). Dalam karya ilmiah ini frekuensi klaim tahunan dimodelkan menggunakan Generalized Linear Model (GLM) dengan mempertimbangkan faktor-faktor yang memengaruhi. Terdapat 3 model GLM, yaitu GLM1, GLM2, dan GLM3. Ketiga model tersebut didapat dengan cara mereduksi parameter yang digunakan. Model yang paling cocok adalah model GLM2 dengan nilai AIC terkecil, yaitu 254283., It is important for insurance companies to estimate the future claims frequency. This can be done by modelling the claims frequency to minimize the risk of losses. There are several factors that have an impact on the estimation of claims frequency in the future. These factors include car characteristics (vehicle age, vehicle engine, etc.) and driver data (age, gender). In this manuscript, the frequency of annual claims is modelled using Generalized Linear Model (GLM) by considering another impactful factors. There are three GLM models, GLM1, GLM2, and GLM3. Those three models are obtained by reducing used parameter. The most suitable model is GLM2 with the smallest AIC value 254283.
Keyword: claims frequency, generalized linear model, vehicle insurance

Judul: Synthesis of Apatite - Chitosan Composite Using Duck Eggshell and Chitosan with Temperature and pH Control
Abstrak: Composite of apatite-chitosan was prepared by using chitosan as polymer matrix. Calcium phosphate was prepared from CaO and (NH4)2HPO4, which the ratio Ca : P had to be 1.67. Chitosan is produced by deacetilase from biopolymer chitin. Duck eggshell (95% CaCO3) as starting material was converted to be calcium oxide (CaO) through calcinations with temperature 1000oC for 5 hours. In-situ and ex-situ methods were prepared from apatite and chitosan (dissolved with acetate acid 2%). Calcium phosphate prepared for bone implantation, but it is too fragile and brittle to be implant into the body. So addition of chitosan can decrease crystalinity and increase mechanic characteristic (tougher). Composite apatite-chitosan was resulted by fast precipitation. Fast precipitation was held in a breaker glass with nitrogen atmosphere, under controlled temperature at 37oC and pH 7, in order to increase amount of hydroxyapatite. Precipitation with CaO which was dropped by (NH4)2HPO4. Hydroxyapatite and chitosan were appearing at samples with in-situ and ex-situ methods which indicating by peak matching of XRD (closed lattice parameter, crystal size), overlapping at FTIR spectra and supporting by SEM picture (homogenous and agglomerated particle). However, it still needs further research to examine biocompatibility osteoconductive degree of sample by in-vivo and in-vitro test.
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