Judul: Simulation study about the influence of multicollinearity to the first principal component and applications
Abstrak: Simulasi dengan menggunakan model sederhana mampu membangkitakan data yang berkorleasi anatar peubah sesuai dengan yang dikehendaki. Sehingga keterbatasan software satatistika untuk membangkitkan data yang bermultikolinear tertentu bisa diatasi dengan simulasi. Prosedur penilaian huruf mutu yang umum dipakai didalam kegiatan akademik Institut Pertanian Bogor adalah Pola Acuan Normal dan Pola Acuan Pokok temyata kurang memperhatikan pengaruh korelasi antar peubah ujian dan keragaman pada setiap peubah ujian. Korelasi antar peubah ujian menunjukan kekonsistensian mahasiswa dalam menghadapi ujian, sedangkan keragaman menunjukan tingkat kemampauan peserta mahasiswa dalam menghadapi ujian tersebut. Metode penilaian dengan menggunakan komponen utama mengakomodasi keragaman peubah dan korelasi antar peubali Jika korelasi antar peubah besar maka peubah-peubah tersebut akan tereduksi dimensinya menjadi satu dimensi yaitu komponen utama pertama. Selanjutnya skor komponen utama pertama inilah yang akan menjadi dasar penilaian. Skor komponen utama pertama tepat menjadi dasar penilaian untuk data yang berkolerasi positif maupun negatif sedangkan untuk data yang tidak berkorelasi cenderung menggunakan peubah yang keragamannya terbesar sebagai dasar penilaian.
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Judul: Kajian terhadap Penduga Komponen Utama Dua Parameter dan Penduga Regresi Komponen Utama dalam Multikolinieritas
Abstrak: Multicollinearity is one of linear multiple regression problems. The existence of multicollinearity causes the least squares method becomes no longer the best estimator. To overcome this problem, many new biased estimator have been proposed, one of them is Principal Component Regression (PCR) estimator. Principal Component Two Parameter (PCTP) filed as a superior estimator than the PCR estimator (Yang and Chang 2012). This study aimed to examine the PCTP estimator and PCR estimator with the distinguishing criteria to be studied areMean Square Error (MSE) and relative bias of parameter prediction with a Monte Carlo simulation method and also assess the comparative value of MSE( y􀷜������) PCTP estimators and PCR estimators based on rill data. Simulation results show that the MSE of PCTP similar to the MSE of PCR estimator. Based on evaluation, bias value of PCTP estimator is bigger than the PCR. The rill data evaluation conformance to simulations that have been carried out.
Keyword: Bogor Agricultural University (IPB), Principal Component Two Parameter, Multicollinearity, Multiple Regression Analysis

Judul: Elektrodeposisi Film Tipis Semikonduktor Cu2ZnSnS4 (CZTS) pada Substrat Kaca ITO
Abstrak: Semiconductor Cu2ZnSnS4 (CZTS) thin film that can be used as absorber layers on solar cell module was made via electrodeposition method. CZTS thin film was electrodeposited on the surface of a silicate glass coated with a thin layer of indium tin oxide (ITO). Deposition process was done using potentiostatic mode at room temperature with a potential of 1.05 V for 30, 45, and 60 minutes, followed with annealing the film at 2 different temperatures, 500 ºC using furnace and 180 ºC using hot plate, both treatments for 45 minutes in N2/H2S atmosphere. The X-ray difractograms were analyzed using Match 2 program and showed that the CZTS thin films had kesterit crystalline structure, with a low percentage of CZTS phase. The thin film also contained secondary phases such as Cu2S, ZnS, and SnS. The obtained CZTS thin films had a thickness between 1.039 and 1.676 μm. Absorption study showed that the band gap energy of CZTS thin films which was annealed using furnace ranged from 1.50 to 1.52 eV, whereas that annealed using the hot plate was not observed. The band gap energy value showed that CZTS thin films can be used as sunlight absorber layers on solar cell. The formation of CZTS crystal film on this investigation was effectively performed using furnace annealing process at a temperature of 500 ºC with deposition time of 45 minutes.
Keyword: Thin film, Electrodeposition, Cu2ZnSnS4