Judul: Pendugaan Parameter Model Regresi Logistik dengan MLE dan Stochastic Restricted Maximum Likelihood Estimator.
Abstrak: Analisis regresi logistik merupakan metode analisis data yang dapat digunakan jika variabel respons berbentuk dikotomi dan variabel prediktor berupa data berskala interval atau kategori. Metode yang dapat digunakan untuk menduga parameter dalam analisis regresi logistik antara lain Maximum Likelihood Estimator (MLE) dan Stochastic Restricted Maximum Likelihood Estimator (SRMLE). Pada karya ilmiah ini, model yang diduga parameternya menggunakan data hipotetik berupa simulasi Monte Carlo. Keakuratan pendugaan parameter pada karya ilmiah ini diukur dengan Scalar Mean Square Error (SMSE). Stochastic Restricted Maximum Likelihood Estimator (SRMLE) lebih baik dalam pendugaan parameter dibanding dengan Maximum Likelihood Estimator (MLE).
Keyword: analisis regresi logistik, Maximum Likelihood Estimator (MLE), Scalar Mean Square Error (SMSE), Stochastic Restricted Maximum Likelihood Estimator (SRMLE)

Judul: Perbandingan Pendugaan Parameter Regresi Distribusi Normal dan Distribusi Eksponensial dengan Maximum Likelihood Estimation (MLE)
Abstrak: Analisis regresi merupakan salah satu analisis statistika yang mempelajari hubungan antara variabel dependen dan variabel independen. Variabel dependen tidak selalu berdistribusi normal, melainkan termasuk ke dalam sifat distribusi yang lebih luas yang disebut dengan distribusi dari famili eksponensial. Untuk variabel dependen yang termasuk ke dalam famili eksponensial, maka dapat dimodelkan dengan Generalized Linear Models (GLM). Metode yang dapat digunakan untuk menduga parameter pada GLM pada regresi eksponensial adalah Maximum Likelihood Estimation (MLE) dengan menggunakan konsep Iterative Re-Weighted Least Square (IRLS). Pada data yang menyebar eksponensial, jika dilakukan pendugaan parameter dengan regresi normal akan menghasilkan pendugaan parameter yang kurang baik. Oleh karena itu, data harus dimodelkan sesuai dengan asumsi sebarannya yaitu dengan menggunakan GLM., Regression analysis is a statistical analysis that studies the relationship between the dependent variable and the independent variable. The dependent variable is not always normally distributed but belongs to a wider distribution called the distribution of the exponential family. For the dependent variable that belongs to the exponential family, it can be modeled using Generalized Linear Models (GLM). The method that can be used to estimate the parameters of GLM in exponential regression is Maximum Likelihood Estimation (MLE) using the Iterative Re-Weighted Least Square (IRLS) concept. In exponentially distributed data, if the parameter estimation is carried out with normal regression, it will result in an unfavorable parameter estimate. Therefore, the data must be modeled according to the distribution assumption, namely by using GLM.
Keyword: exponential family, Generalized Linear Model (GLM), Iterative Re- Weighted Least Square (IRLS), Maximum Likelihood Estimation (MLE), regression analysis

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