Judul: The performance of empirical bayes estimates on bootstrap method for poisson gamma models
Abstrak: Negative MSE values occured in previous research conducted by Nadhiroh (2009). These might happened due to the nature of jackknife estimators. Jackknife estimators can be negative values under certain scenarios (Bell 2001). The alternative method to estimate the MSE value is required, and this paper proposes bootstrap as an altternative method. To study the consistency of Mean Square Error (MSE) and Average Relative Bias (ARB) on empirical bayes estimators, 2000 bootstrap samples (B) were generated. With B=500 MSE and ARB values seem to achieve consistency and all of MSE values are non negative. This research demonstrated that the Zero Inflated Negative Binomial (ZINB) method is effective in the condition where the excess of zero occurs in small areas. It has been shown that when the probability of zero increases, the smaller MSE values are produced. This research showed that the probabilities of zero affected the ARB means significantly on α=0.05, whereas the number of areas did not effect the ARB means significantly. Although the interaction between probability of zero and number of areas is significant on α=0.05, the mean of MSE decreases as the probability of zero increases with the rate of change the MSE means are different dependent on number of small areas.
Keyword: Small area estimation, Empirical bayes, Zero inflated negative binomial, Poisson gamma models, Bootstrap method, Bogor Agricultural University, Institut Pertanian Bogor, IPB

Judul: Estimation of Small Area Statistics using Beta-Binomial Model
Abstrak: Small area estimation is commonly used to describe smaller domain or population. Small Area Estimation is an important technique to estimate parameter of smaller domain borrowing strength of population parameter estimate through statistics models with random effect. This research is focused in modeling binary data in small area estimation with empirical bayes method. This method is applicable more generally in the sense of handling models for binary and count data. The Beta-binomial model can be used to calculate the proportion of each small area and its variance. This model estimates the parameters of proportion using momen Kleinman method of Beta-Binomial model and the we also compare the MSE of indirect estimation using Naïve, Jackknife, and Bootstap methods. The result shaved that the MSE of indirect estimation lower than the direct estimation. Moreover, the MSE of indirect estimation using Naïve, Jackknife, and Bootstap methods relatively the same. This indirect estimation using Beta-Binomial model were applied to analyze the proportion of poor household in Bekasi district. The result showed that Jakasampurna, Ciketingudik, Bintara Jaya, Jatiluhur, Cikiwul, Mustika Jaya, and Perwira and could be categorized as villages having more poor household.
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Judul: Karakterisasi Tepung Sukun (Arlocarpus altilis) Dengan Pengering Kabinet dan Aplikasinya Untuk Subtitusi Tepung Sukun Pada Pembuatan Roti Tawar
Abstrak: Tanaman sukun (Artocarpus altilis merupakan tanaman tropik sejati. Tanaman ini dapat tumbuh baik pada daerah basah maupun di daerah kering dengan ketinggian 0-600 meter di atas permukaan laut. Syarat tumbuh tanaman ini sangat cocok dengan iklim Indonesia.
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