Judul: Pemodelan Besar Klaim Asuransi Kendaraan Bermotor Menggunakan Model Eksponensial Hidden Markov
Abstrak: Asuransi atau pertanggungan adalah suatu perjanjian, di mana seorang penanggung mengikatkan diri kepada seorang tertanggung, dengan menerima suatu premi untuk memberikan penggantian kepadanya karena suatu kerugian, kerusakan, atau kehilangan keuntungan yang diharapkan, yang mungkin terjadi karena suatu peristiwa tak tentu. Salah satu jenis dari asuransi kerugian yaitu asuransi kendaraan bermotor. Asuransi kendaraan bermotor adalah salah satu perlindungan pada kendaraan jika terjadi kerusakan atau kerugian, misalnya karena kecelakaan atau hal lainnya yang menyebabkan kerugian terhadap kendaraan. Besarnya klaim yang harus dibayar pada asuransi kendaraan bermotor, bergantung pada besarnya kerugian. Jika penyebab kerugian diasumsikan membentuk rantai Markov dan tidak diamati secara langsung, dan hanya data besar klaim yang diamati maka pasangan besar klaim dan penyebabnya dapat dimodelkan dengan model hidden Markov. Karena besar klaim jika diketahui penyebabnya diasumsikan menyebar eksponensial maka digunakan model eksponensial hidden Markov. Tujuan dari penelitian ini adalah untuk memodelkan besar klaim asuransi kendaraan bermotor dengan menggunakan model eksponensial hidden Markov dan menggunakan model eksponensial hidden Markov untuk prediksi besar klaim di masa yang akan datang. ...
Keyword: asuransi kendaraan bermotor, algoritme Expectation Maximization, Bayessian Information Criterion, prediksi

Judul: Pemodelan Rata-rata Besar Klaim Asuransi Kendaraan Bermotor dengan Generalized Linear Model.
Abstrak: Asuransi kendaraan bermotor adalah salah satu jenis asuransi umum yang banyak digunakan. Seiring meningkatnya volume kendaraan bermotor, risiko yang ditumbulkan, seperti kecelakaan, juga meningkat. Dalam karya ilmiah ini, dilakukan pemodelan rata-rata besar klaim asuransi kendaraan bermotor dengan Generalized Linear Model (GLM). Dalam penelitian ini, data yang digunakan adalah data asuransi kendaraan bermotor di Massachusetts dari tahun 1993-1998 dengan tertanggung memiliki tiga karakteristik, yaitu wilayah geografis, pendapatan perkapita dan populasi penduduk per mil2. Pengujian sebaran dilakukan dengan menggunakan uji Anderson-Darling dan didapatkan sebaran rata-rata besar klaim mengikuti sebaran gamma. Uji-t dilakukan untuk melihat signifikansi parameter. Model dievaluasi dengan memilih nilai Akaike’s Information Criterion (AIC) terkecil dari dua model GLM. Akurasi model dihitung menggunakan Mean Absolute Percentage Error (MAPE) dan diperoleh hasil sebesar 10.85%.
Keyword: AIC, besar klaim, sebaran gamma, Generalized Linear Model, MAPE

Judul: Utilization of hydrolized duckweed (Lemna minor) meal as a soybean replacement in Nile tilapia (Oreochromis niloticus) diet,
Abstrak: Tilapia is a fast growing fish widely cultured in many tropical and sub tropical countries. The recent production figures reported our global production estimates for 2015 is 5,576.8 metric tons. In developing countries the major challenges facing aquaculture industry is high cost of production associated with fish feeds. Feed represents 40-70% of operating costs for aquaculture operations, increasing expenses and potential declining supplies soybean meal have led scientists to search for less expensive but compatible alternative protein sources for fish feed; most of which are based on animal or plant protein sources. The objectives of study was to determine the incubation period for hydrolysis of duckweed and to evaluate the use of hydrolized duckweed as aprotein source for the growth performance of Nile tilapia Three experiments were conducted to determine the composition and digestibility of hydrolyzed duckweed meal by sheep rumen liquor as the replacement of soybean meal in the diet of Nile tilapia. The first trial examined the effectivity of sheep rumen liquor enzyme to decrease crude fiber contents of (DWM), the added volume of sheep rumen liquor was 100 ml/kg DWM and then it was incubated for 0, 12, 24 hr . The second trial was to evaluate the apparent digestibility of hydrolyzed DWM for Nile Tilapia, apparent digestibility were determined using chromic oxide indicator added to both reference diet and test diets. The feed ingredients used in the trial were hydrolyzed DWM (HDWM) and unhydrolyzed DWM (DWM). Ten fish with an average weight of 18±0.36g were used in the trial and reared in the aquarium of size 30×40×50cm for 15 days; feces were collected from three replicates using a fecal collection column attached to the aquarium. Third trial was to evaluate the growth performance of Tilapia fed test diet with hydrolyzed Duckweed meal (HDWM). The experimental design was set according to completely randomized design with four treatments and three replicates of HDWM inclusion levels that is 0%, 15%, 30% and 45%. Nile tilapia fish with initial body weight of 18±0.36g was kept in 12 units aquarium size of 30×40×50cm at stocking density of 10fish/aquarium, the fish were fed two times a day at 08:00am and 16:00pm to apparent satiation for a period of 60 days. The results indicated that duckweed meal (DWM) hydrolyzed with 100 mL/kg and incubated for 24 hrs showed the lowest crude fiber contents of 13.68% compared to other treatments. Total digestibility of hydrolyzed duckweed (HDWM) meal was 87.3% compared with unhydrolyzed duckweed (DWM) which was 66.8%. Total final weight (TFW), survival rate (SR), specific growth rate (SGR), feed conversional rate (FCR) and protein retention (PR) shows growth performance at 15% inclusion. The results of this study showed that 100mL/kg sheep rumen liquor at incubation period of 24 hr can be suitable for hydrolysis of duckweed to reduce crude fiber also hydrolyzed duckweed can substitute soybean meal at an incubation rate of 15% in the diet of Nile tilapia and had the same growth and FCR with control diet
Keyword: Digestibility, Duckweed meal, Growth performance, Sheep rumen