Penelitian ini menggunakan asumsi seragam untuk menghitung premi tahunan asuransi jiwa berjangka untuk status hidup gabungan. Untuk menghitung premi tahunan  perlu dihitung terlebih dahulu nilai tunai anuitas hidup awal dan premi tunggal. Berdasarkan penerapannya pada data yang diperoleh maka didapat besarnya premi tahunan asuransi jiwa berjangka untuk status hidup gabungan menggunakan asumsi seragam adalah sebesar Rp 38.235,441 dengan 25 orang peserta, uang pertanggungan sebesar Rp.1.500.000,selama 4 tahun dan tingkat bunga 10%.

In this study, the pricing scheme that will be formed is a model from the previous research model involving model of cloud-radio access network (C-RAN) and fair network management models. This model combines the benefits of internet service provider (ISP) and service quality (QoS) obtained by internet users, one of which is fair network factors. The model used is a nonlinear equation and is solved by the LINGO 13.0 program to get the optimal solution. The results show that the pricing scheme with regard to service quality generates maximum revenue for ISPs. Based on the improved C-RAN model that are classified into 2 cases, the optimal results in the improved model, the optimal value is found in the pricing scheme in case 1 of by conducting numerical computation using  hotspot traffic from local server.

Choosing best fit probability distribution to represent the height wave tsunami has been a long topic of interest in hydrology. In this study, Lognormal distribution (L), Gamma distributions (G), Weibull (W), and mixture of two lognormal (ML), two gamma (MG) or two weibull (MW) distributions were applied to data tsunami runnup heights in Aceh. Parameter for each distribution are estimated by maximum likelihood techniques. For selecting the best fit model, graphical inspection (probability density function (pdf)) and numerical criteria (Akaike's information criterion (AIC), Bayesian information criterion (BIC)) were used. In most the cases, graphical inspection gave the same result but their AIC and BIC result differed. The best fit result was chosen as the distribution with the lowest values of BIC and AIC. Tsunami that happened in Aceh on 26 December 2004 at latitude 3.32 N and longitude 95.85 E, G and W distributions was not suitable to 1192 Desta Wahyuni et al. explain the tsunami heights wave data distribution. Result show that MG and MW are better alternatives to discribe height wave tsunami characteristics. We also show that MG best fit probability model in comparison to either G, M, or MW.

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