Judul: Identification of Affecting Factors on the GPA of First Year Students at Bogor Agricultural University Using Random Forest
Abstrak: Academically, the success of a student can be demonstrated by Grade Point Average (GPA). The performance of a student can be seen from the academic achievements, potential and motivation from themselves. Success in obtaining a high GPA can not be separated from the factors that affect the intellectual factor (the score of final examination in high school) and non-intellectual factors (gender, enrollment scheme to university, age when enrolled to university, senior high school status, etc). The data used for this research is the secondary data obtained from Student Affairs Directorate Bogor Agricultural University. Random forest method is an ensemble classifier using many decisions tree models. It can be used for classification or regression. This research is aimed to determine the size of the random forest and sample size of the explanatory variables that produces random forest with high prediction accuracy and stability that can identify the most important influential factors in student's academic achievements (GPA). High accuracy and stability can be obtained if size of the explanatory variable (m) and the size of the random forest (k) is determined by the right value. The values of m used in this study are 3, 4, 5 and 6. The values of k used in this study are 100, 500 and 1000. The smallest misclassification rate is at m = 4 and k = 100 with misclassification rate is 39.36%. Optimum random forest trees is used to get the best identifier variables. The most influential variable of the GPA of student at Bogor Agricultural University in the first year study by ranking criteria used Mean Decrease Gini (MDG) value of random forest.
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Judul: Evaluasi Karakteristik IPK Mahasiswa Penerima Beasiswa PPA dan BBM dengan Pohon Regresi (Studi Kasus di Program Sarjana Institut Pertanian Bogor Tahun 2012/2013)
Abstrak: Improving Academic Achievement (PPA) scholarship is intended for students who have high achievements, while Student Learning Assistance (BBM) scholarship is intended for students whose parents are less capable and have good achievement. Achievements can be measured using the Grade Point Average (GPA). Therefore, to determine the characteristics of the student who receive scholarship done by classification methods based on GPA. The data which being used are online PPA and BBM extension questionnaire. Explanatory variables were analyzed by 20 variables with the response variable is student’s final GPA. The method for this classification is CART (Classification and Regression Trees) with a regression tree. The regression tree of PPA scholarship recipent produces four terminal nodes with an average GPA at initial node is 3.413, the most effective variable in the of partition the node are students father’s occupation, income per capita per month and students income per month. BBM scholarship produces six terminal nodes with an average of GPA for the initial node was 3.014, the explanatory variable that used for partioning were insulating the income per capita per month, child’s, father’s education, father’s occupation, and region of origin.
Keyword: CART, PPA and BBM scholarship, regression tree

Judul: Posisi Filogenetik Kura-Kura Carettochelys Insculpta  (Reptillia: Testudinata)
Abstrak: Carettochelys insculpta is an endemic freshwater turtle of southern Papua and northern Australia. Phylogenetic position of this turtle is remain unresolved until now. Most of the research conducted show close relationships of C. insculpta and members of Trionychidae family. However, some of the research show distance between C. insculpta and members of Trionychidae family. This research is conducted to analyze phylogenetic relationship between C. insculpta and other members of Testudinata using 12S rRNA, 16S rRNA, and both gene as markers. DNA samples were obtained from three different organisms of C. insculpta. Two species used as outgroups were Alligator mississippiensis and Iguana iguana. Phylogenetic analysis was carried out using Neighbor-Joining method with Felsenstein 1981 (F81) modeltest. A polytomy tree of Testudinata was produced by using 12S rRNA gene. However, analysis using 16S rRNA and both genes as markers confirmed that C. insculpta was located between the Chelonidae and the Trionychidae family.
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