Judul: Penyusuoan Food Control Handbook Badan Pengawas Obat dan Makanan: Kajian Monitoring Garam Beryodium di Tingkat Peredaran
Abstrak: Pangan adalah segala sesuatu yang berasal dari sumber hayati dan air, baik yang diolah maupun tidak diolah, yang diperuntukkan sebagai makanan atau minuman bagi konsumsi manusia termasuk bahan tambahan pangan, bahan baku pangan dan baban lain yang digunakan dalam proses penyiapan, pengolaban dan atau pembuatan makanan atau minuman.
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Judul: Kajian Sistem Pengawasan Keamanan Pangan Oleh Badan Pengawas Obat dan Makanan (Badan POM) Republik Indonesia
Abstrak: “Food nutrition and safety are the right of individuals and government has the responsibilty to assure that the need is adequately fulfilled”,was a statement made during FAO/WHO International Conference on Nutrition (ICN), Rome, 1992. In Indonesia, the safety of processed food is controlled by the National Agency of Drug and Food Control (NADFC) through regulations and policies developed in the country. The purposes of this study are (1) to determine the food control systems established by the NADFC, (2) to evaluate the implementation of the systems, and (3) to make recommendations for improvement of the existing systems. The research was conducted as follows: (1) identification of food safety control sytems by the NADFC, (2) identification and implementation result of food safety control systems by the NADFC, (3) to assess the adequacy of the systems and its implementation, and (4) make the recommendations for improvement of the existing systems. Data were collected from data in the NADFC. The study shows that the NADFC establishes a safety control system of the marketed food products in Indonesia by controlling the foods before and after foods are being marketed. As a preventive control, the pre-market assessment for processed food is done by evaluation of the nutrition content, hazards, production process, and the manufacturer. The pre-market control depends on the ability and competence of human resources as food evaluators as well as networks with other agencies responsible for certification system (GMP, HACPP, etc). The postmarket control is carried out by Technical Implementation Unit Provincial Office of NADFC in Indonesia that conducts inspection of food production facilities, food distribution facilities, as well as food sampling and testing. The activities are conducted using guidelines and technical guidance from the NADFC. The activities of post-market control is not adequately coordinated and orthoroughly analyized. Better coordination and analysis are needed to enable NADFC to evaluate the results of the post-market control thus they can be used toward program establishment in the future such as sampling priority and management of certain contaminants.
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Judul: Credit risk modeling using logistic ridge regression
Abstrak: The growth of credit of national banking may cause a greater risk faced by banks. One thing we must highlight is a way to determine whether the new applicant will be good in loan repayments. A well known and widely used method for classifying the new applicant of credit is Logistic Regression. Multicollinearity is a problem that is frequently encountered in model building. Usually, variable selection method is used for handling this problem. But sometimes it creates a new problem when the important variable does not enter to the model. Logistic Ridge Regression could be an alternative in logistic regression when multicollinearity exists. The advantage of this method is that it can handle multicollinearity without deleting any predictor variables. This research compared the performance of logistic ridge regression and logistic regression with variable selection to predict the collectability status of new applicants of credit. There were 1000 observations of German Credit data set. The 740 observations were used for modeling and 260 observations were used for validation. Backward was the best among other selection variable methods which had the highest c statistic and the model was fit by Hosmer and Lemeshow Goodness-of-Fit Test. By using backward logistic regression, it showed that among 17 variables there were eight variables which were significant in the wald test. There were many significant correlations among the predictors but the highest correlation coefficient was 0.628 which exist between duration of credit (V1) and credit amount (V2).The ridge parameter or λ was 0.001. The optimal cut point of backward logistic regression was 0.680, while for logistic ridge regression was 0.677. By comparing the c statistic and the total correctly predicted cases, we can see that the logistic ridge regression was better than backward logistic regression in training data. However, with testing data (validation), backward logistic regression was better. To have a better understanding of the model with higher correlation values between V1 and V2, V2* was generated to replace V2 and logistic regression with variable selection and ridge were also built. The result pointed out that logistic ridge regression has a little higher capability to predict the new applicant’s collectability status than logistic regression with variable selection.
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