Judul: Data Hilang Dalam Analisis Pohon Regresi (Studi Kasus: Tingkat Keberhasilan Mahasiswa Pascasarjana IPB)
Abstrak: The objective of this research are to build regression tree which is contains of missing value to estimate efficacy level of Bogor Agricultural University’s post graduate students and to study about factors that influence efficacy level of Bogor Agricultural University’s post graduate students for each major. Missing value in Classification and Regression Trees (CART) could be handled by nonparametric approach based on iteration of regression tree classification. Each major contains of missing value in their predictor variable. Therefore, surrogates variable is been used to impute this missing value. This variable has high association with primer variable that contains of missing value that will be use as surrogate variable. Efficacy level that researcher want to see is Bogor Agricultural University’s post graduate students academic abilities. This point can be count by post graduate GPA and period of post graduate study. Therefore, factors which are influence efficacy level of Bogor Agricultural University’s post graduate students will be done by regression tree approaching. This research shows that missing value in large amount of value causes increasing of error level in regression tree classification and decreasing of prediction accuracy. This shows that missing value still become a serious problem in CART. The variable that has high association with primer variable that contains missing value will be use as surrogate variable. Regression tree that built from missing value with surrogates will give the best result if we compare it with regression tree that built without surrogates. As a result, post graduate degree in Bogor Agricultural University need to consider age, gender, accreditation, bachelor degree’s Grade Prediction Academic (GPA), profession, and duration from bachelor to post graduate degree variables, because this factors influence students efficacy level in each 16 majors for a period of study. While to produce higher post graduate’s GPA, they need to concern about duration period from bachelor to post graduate degree, earlier college status, acceptance status, age, and accreditation variables. Bogor Agricultural University’s post graduate need to consider all variables that mentioned to produce quality students in future.
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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: Aplikasi Nano Kitosan Sebagai Pengawet Alami Fillet Nila Merah (Oreochromis Sp.) Selama Penyimpanan Suhu Chilling
Abstrak: Nano kitosan diketahui berpotensi dalam memperpanjang masa simpan produk perikanan karena sifatnya yang tidak beracun, biodegradable, dan memiliki aktivitas antibakteri. Penelitian ini bertujuan menentukan karakteristik nano kitosan dan membandingkan penggunaan nano kitosan dengan formalin dalam mengawetkan fillet ikan nila merah pada penyimpanan suhu chilling. Nano kitosan dibuat dengan metode gelasi ionik dan dikarakterisasi melalui analisis Particle Size Analyzer, mikroskop elektronik payaran, dan Fourier Transform Infrared. Fillet direndam dalam larutan formalin (F), akuades (T), dan nano kitosan (L) selama 5 menit dan nano kitosan 10 menit (S). Fillet disimpan pada suhu 4±1 oC dan dianalisis total mikroba aerob, Total Volatile Base, dan pH pada hari ke-0, 2, 4, 6, 8, 10, dan 12. Karakteristik nano kitosan yang dihasilkan berukuran 512,58 nm dengan morfologi berbentuk bulat dan derajat deasetilasi sebesar 79,49%. Perendaman dengan nano kitosan selama 5 menit merupakan perlakuan terbaik untuk pengawetan fillet. Nilai total mikroba aerob, TVB, dan pH fillet S, L, dan F belum melewati batas aman konsumsi (<5 log cfu/g, <20 mg N/100 g, dan <7) hingga penyimpanan hari ke-12 dan tidak berbeda nyata satu sama lain (p>0,05), sehingga nano kitosan dapat dijadikan pengawet alami fillet nila merah dan dapat menggantikan formalin bila dilihat dari parameter total mikroba aerob, TVB, dan pH.
Keyword: chilling, fillet, formalin, nano kitosan, pengawet alami