Judul: Perbandingan regresi logistik biner dengan jaringan syaraf tiruan (studi pada klasifikasi status akreditasi Sekolah Menengah Pertama Provinsi DKI Jakarta)
Abstrak: Classification is one of statistical technique in classifying data compiled systematically. One popular example of classification in the field of education is the accreditation status of the school. Accreditation status of schools affected by the standard of Teachers and Education Personnel (TOD). There are many statistical methods that can be used to solve classification problems, including binary logistic regression and Artificial Neural Network (ANN). The result of the calculations in studies using binary logistic regression gives an Area Under Curve (AUC) of 0.852 for training data and 0.834 for testing data. Calculation with a back propagation ANN for training data and testing data give an AUC of 0.911 and 0.899. Thus, the back propagation ANN can predict better than the binary logistic regression. The variables that significantly affect the classification of the accreditation status of the school is the number of teachers (X1) and the qualifications of chief administrative personnel (X6).
Keyword: Bogor Agricultural University (IPB), binary logistic regression., neural network, classification, back propagation

Judul: Evaluasi Rintisan Sekolah Bertaraf Internasional Melalui Pendekatan Regresi Logistik Biner, Analisis Profil, dan Penskoran
Abstrak: Recorded since its independence, Indonesia has changed the education curriculum as much as eight times, starting from the Kurikulum Rencana Pembelajaran in 1947 to the Kurikulum Tingkat Satuan Pendidikan (KTSP) 2006. Recent curriculum change is accompanied by the implementation of a classification system based on the quality of schools into Sekolah Standar Nasional (SSN), Rintisan Sekolah Bertaraf Internasional (RSBI), and Sekolah Bertaraf Internasional (SBI). A school can be classified into SBI if it meets several criteria, one of which schools have received the recognition status of as RSBI from the related institutions. Ironically, from the initial implementation of the system, there is no school is managed to meet the criteria as an international school. This indicates that an error occurred in the education system. Based on the test results of binary logistic regression using backward elimination, obtained factors affecting international school’s status is location, ISO certification, the percentage of the poor students, school tuition, and the tuition per month. The result is supported by the value of the percentage of the overall classification accuracy was 85.7% and the value of Nagelkerke R2 of 0.647. Testing with profile analysis shows that there are no relationship parallels and similarities between RSBI and non RSBI schools in terms of school education expenses, which include school tuition and tuition per month. Nevertheless, through the comparison of the average cost of school education, it is known that the cost of education at the school RSBI almost two-fold higher than the non RSBI schools, it is consistent with the fact that occurs in society nowadays.
Keyword: binary logistic regression, international school, profile analysis, scoring

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