Judul: Determination of Heart Disease Insurance Premium with Vasicek Interest Rate Based on Prevalence and Incidence Rates
Abstrak: Risiko finansial akibat penyakit kritis merupakan ancaman dalam kehidupan modern. Asuransi penyakit kritis memberikan perlindungan terhadap biaya penyakit serius seperti jantung, kanker, dan stroke. Penelitian ini memodelkan suku bunga dinamis dengan model Vasicek, menentukan intensitas transisi dan peluang transisi untuk asuransi penyakit jantung, dan menghitung premi bersih tahunan asuransi penyakit jantung. Data yang digunakan mencakup BI 7-day (Reverse) Repo Rate dan data statistik kesehatan penyakit jantung dari Australia. Model Vasicek memprediksi suku bunga dengan akurasi tinggi dengan nilai MAPE sebesar 5.26%. Premi asuransi penyakit jantung untuk laki-laki lebih tinggi dibandingkan premi untuk perempuan dan meningkat seiring bertambahnya usia. Premi asuransi penyakit jantung dengan suku bunga model Vasicek lebih rendah dibandingkan dengan suku bunga konstan menggunakan rata-rata model Vasicek., Financial risk due to critical illnesses poses a threat in modern life. Critical illness insurance provides protection against the costs of serious diseases such as heart disease, cancer, and stroke. This study models dynamic interest rates using the Vasicek model, determines the transition intensity and transition probabilities for heart disease insurance, and calculates the annual net premium for heart disease insurance. The data used includes the BI 7-day (Reverse) Repo Rate and heart disease health statistics from Australia. The Vasicek model predicts interest rates with high accuracy, with a MAPE value of 5.26%. The heart disease insurance premium for men is higher than that for women and increases with age. The heart disease insurance premium with the Vasicek model interest rate is lower than the constant interest rate using the average of the Vasicek model.
Keyword: Vasicek model, financial risk, insurance premium, heart disease, transition intensity

Judul: Penentuan Premi Tahunan Bersih pada Long Term Care Insurance dengan Tingkat Bunga Mengikuti Model Vasicek
Abstrak: Biaya perawatan yang besar menjadi risiko ketika seseorang jatuh sakit. Asuransi long term care (LTC) menjadi salah satu produk asuransi kesehatan yang dapat memberikan manfaat ketika tertanggung jatuh sakit. Perusahaan asuransi perlu menetapkan premi yang optimal agar mampu membayarkan manfaat. Salah satu faktor yang mempengaruhi premi adalah penggunaan suku bunga. Suku bunga model Vasicek dapat digunakan untuk memodelkan perubahan tingkat bunga dari waktu ke waktu. Penelitian ini menggunakan suku bunga konstan dan suku bunga model Vasicek untuk menghitung nilai premi tahunan bersih asuransi LTC. Parameter model Vasicek diduga dengan menggunakan metode ordinary least square. Data BI 7-day (Reverse) Repo Rate (BI7DRR) sebagai data aktual digunakan untuk mengevaluasi model Vasicek menggunakan metode mean absolute percentage error. Hasil evaluasi model menunjukkan suku bunga model Vasicek sangat baik dalam memodelkan BI7DRR. Hasil perhitungan premi tahunan bersih asuransi LTC dengan rata-rata suku bunga model Vasicek menghasilkan nilai premi yang lebih rendah dibandingkan dengan menggunakan suku bunga model Vasicek., The high medical cost becomes a risk when someone falls ill. Long term care insurance (LTC) is one of the health insurance products that can provide benefits when the insured becomes ill. Insurance companies need to determine optimal premiums to ensure they can pay benefits. One of the factors that affect premiums is interest rate utilization. The Vasicek interest rate model can be used to model changes in interest rates over time. This research uses a constant interest rate and the Vasicek interest rate model to calculate the net annual premium of LTC insurance. The Vasicek model parameters are estimated using the ordinary least square method. BI 7-day (Reverse) Repo Rate (BI7DRR) is used as actual data to evaluate the Vasicek model using the mean absolute percentage error method. The evaluation result indicates that the Vasicek interest rate model is very good at modeling BI7DRR. The calculation results of LTC insurance net annual premium using the average Vasicek interest rate model produce a lower premium than using the Vasicek interest rate model.
Keyword: premium, interest rate, Vasicek model, LTC

Judul: Sintesis Nanokomposit Kaolin/TiO2 Teremban Fe2O3 untuk Adsorpsi-Fotodegradasi Biru Metilena
Abstrak: Kaolin is a type of clay mineral that has adsorption capacity. The experiment shows that the adsorption capacity of kaolin was 20.6 mg/g. This value is lower than zeolite adsorption capacity that in general has value above 100 mg/g. Mixing kaolin with other materials to form nanocomposite, may improve its adsorption properties. Nanocomposites that had been synthesized were kaolin/TiO2 nanocomposites with the addition of Fe2O3 using 2 synthetic methods, namely using ball milling and paste methods. The nanocomposite synthesized using ball milling method had higher adsorption capacity value, i.e. 23.6 mg/g. The nanocomposite of kaolin/ TiO2 was able to adsorb and degrade waste dyes in ultraviolet range. Furthermore, addition of Fe2O3 to the kaolin/TiO2 nanocomposite improved the performance of the nanocomposite by reacting under the visible rays. Therefore, the performance of nanocomposite of kaolin/TiO2 added with Fe2O3 was is more effective since visible ray is the major part of the sun light.
Keyword: nanocomposite of kaolin/TiO2/Fe2O3., kaolin, photodegradation, adsorption