Judul: Penerapan metode pemangkasan  dalam CART (Classification and Regression Tree) studi kasus : Pendugaan status gizi anak di Kecamatan Bogor Timur
Abstrak: CART (Classification and Regression Tree) merupakan metode eksplorasi data yang mampu menganalisis hubungan kausal antara peubah tidak bebas dan peubah bebas dalam jumlah data yang berukuran besar dan komplek yang terdiri dari data kategorik (nominal dan ordinal) dan pengukuran (interval dan rasio). CART merupakan metode yang sangat tepat dalam penelusuran peubalı penyebab (penjelas). Penerapan penelusuran peubah penyebab dalam penelitian ini untuk menyelesaikan permasalahan pendugaan status gizi anak. Penerapan metode pemangkasan dalam CART bermanfaat untuk menghindari terjadinya over fitting dan under fitting dalam membentuk pohon regresi. Penerapan ini menggunakan data status gizi anak sebelum dan sesudah pembinaan di Kecamatan Bogor Timur dengan tidak membandingkan kondisi data sebelum dan sesudah pembinaan. Pemangkasan paling baik yang dihasilkan, yaitu pemangkasan berdasarkan penurunan nilai devian tertinggi karena mempunyai metode yang lebih praktis dan dapat digunakan untuk contoh yang berukuran kecil, sedangkan pemangkasan berdasarkan penurunan nilai sisaan relatif penggantian ulang tertinggi dan selisih nilai tertinggi atau jarak terjauh antara nilai sisaan relatif validasi silang lebih akurat dalam penelusuran peubah penyebab dalam menduga peubah respon walaupun dengan ukuran contoh yang kecil. Penerapan model CART untuk menduga status gizi anak menghasilkan peubah penyebab yang konsisten dan logis, oleh karena itu model CART merupakan model yang tepat untuk digunakan dalam pendugaan status gizi anak.
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Judul: Penerapan Metode CART dan Agregat Bootstrap dalam Klasifikasi Status Gizi Balita Di Kecamatan Taman Sari, Kabupaten Bogor.
Abstrak: Nutrition problem is a multidimensional problem that affect health and productivity of Indonesian society. The number of short nutritional status (stunting) and high malnutrition is a serious health problem because it picturizes life for the next 100 years. About 90% of the short children problems in the world occur in 36 countries, and the rank of Indonesia is number five. The purpose of this study is to determine the factors that affect the nutritional status of children and evaluate the stability of classification trees with bootstrap aggregating method.The research is conducted at Taman Sari subdistrict, Bogor with the number of samples 120 mothers who have toddlers. Statistical analysis used to analyze the factors that influence the nutritional status of children is the method of CART (Classification and Regression Tree). CART is a method of data exploration which uses decision tree technique. This study also applies bagging method (bootstrap aggrergating) to evaluate the stability of classification trees generated by CART. The results of the classification tree formed produces optimum tree with eight terminal nodes. Explanatory variables into the main node is the nutritional behavior. Level of accuracy for the CART method was 69.17%.The percentage of the classification on the delimitation of the best z using z-score -2.5 SD with level of accuracy 76.67% and 88.33%, and z-score -3 SDwith level of accuracy 73.33% and 79.17%. Bagging method has been able to evaluate the stability of classification trees by 79.28%.
Keyword: bootstrap aggregating, CART, the nutritional status of children

Judul: Hybrid solar cells of ZnO nanoparticles/chlorophyll was modified metal ions (Zn2+ and Cu2+ )
Abstrak: Zinc Oxide (ZnO) is a n-type semiconductor with a wide the energy band (Band Gap) is 3.37 eV at room temperature and 3.34 eV at low temperature with a large exiton binding energy is 60 meV. ZnO has been synthesized by hydrothermal method, resulting in a decrease in particle size over the duration of the hydrothermal changes. Crystallographic structure of ZnO were characterized using XRD, has shown the characteristic pattern of a hexagonal wurtzite structure, the crystallite size increases to changes in particle size. Changes in particle size has also led to a change in the absorption peak of ZnO as has been demonstrated posted under test using the optical properties of UV-Vis spectrophotometer. Changes of this uptake has also led to changes in the energy band gap, which increases its band gap energy of the particle size. In electronic applications, especially in solar cells. Chlorophyll is considered less effective, because of their very nature are easily degraded as a result of several reactions which are acid, lighting and temperature. The results of the stability test using a halogen lamp 34 W/m2 for 5 hours, that the substitution of chlorophyll with metal ions Zn2+ and Cu2+ has been shown to form more stable than natural chlorophyll. The characterization of the optical properties, the combination of ZnO / chlorophyll in the form of hybrid films has led to a shift in the absorption region of ZnO becomes more widely from the UV to Visible. ZnO/chlorophyll has absorption range of 350-515 nm, ZnO / Zn-feofitin 332-401 nm and 332-632 nm for Cu-feofitin. The combination of ZnO/chlorophyll and CuSCN as a solid electrolite in hybrid solar cell, a modified chlorophyll with metal ions Zn2+ and Cu2+ has been shown to form a more stable I-V curve. It is characterized by its fill factor value greater than natural chlorophyll. Nevertheless, solar cells with natural chlorophyll has been able to produce higher efficiency values of chlorophyll were substituted.
Keyword: Hydrothermal, ZnO/Chlorophyll modified, Hybrid Solar Cell