Judul: Penerapan Regresi Cox pada Lama Waktu Tunggu Lulusan Program Studi S1 Statistika IPB Memperoleh Pekerjaan Pertama.
Abstrak: The number of unemployment graduate students is increasing by 0.32 percent from February 2013 until February 2015 (BPS 2015). Institut Pertanian Bogor (IPB) as the university of Statistics graduates maker resulting in Statistics graduates that are needed in various work fields, but the company has qualification in selecting the workforce. Consequently Statistics program graduates tend to be in unemployment status because the amount of time for getting the uncertain first job. Therefore this research aim is to identify variables associated with the amount of waiting time of IPB’s Statistics undergraduates program for getting their first job and identify the relation between GPA and their first job field. The data used is primary data through questionnaires. The unemployment graduates that have not worked until the end of research time on April 2015 and continue their master study is called by censored data. The analysis relating to the amount of waiting time and censored data is survival analysis with Cox regression while correspondence analysis is used for knowing the relation between GPA and the first job. Variables associated with the amount of waiting time to obtain first job is sex and GPA in the 5% significance level. Correspondence analysis showed that the Ministry, Otoritas Jasa Keuangan (OJK), and Pertamina are works field of IPB’s Statistics program study graduates who have GPA greater or equal to 3.5.
Keyword: censored data, correspondence analysis, Cox regression, first job

Judul: Factors identification of stop study ipb graduate students using logistic regression and zero inflated poisson
Abstrak: Bogor Institute of Agriculture (IPB) make every effort to increase quality of graduates and percentage of students passing rate. Quality of graduates can be viewed based on the value of GPA and graduation time. Passing rate can be calculated from the ratio of the number of graduates to the number of students in one class. Students stopped the study is one issue that is still a concern because can harm their own students, institutions, and the country. In this research will examine the factors that affect graduate students IPB stop study. The first study in terms of the status of the students stop studies using logistic regression. The second study in terms of the number of occurences of students who stopped the study in each course using Poisson regression. Poisson regression model on the discrete data of the type that sometimes occurs overdispersi value greater variety from the average value. In general, the model can be used for data overdispersi is a zero inflated Poisson regression. The data used in this research were graduate students of data generation IPB 2005- 2010. Based on the results of logistic regression analysis states that male student has the opportunity to stop the study was higher than women, the graduate students coming from PTS have the opportunity to stop the study is higher than those from PTN, students with tuition fee independent source has the opportunity to stop the study was higher than the students receiving scholarship and students are not linear S1 has a chance to stop the study was higher than that of linear S1. Evaluation study conducted by program of study by using zero inflated Poisson regression to model the log shows that the smaller the percentage of married students, an average GPA of S1, and the greater the percentage of students receiving scholarships will increase the number of graduate students who stop his studies while IPB. Logit models showed IPB graduate students opportunities stop study is influenced by the percentage of male students, the percentage of married students, the percentage of college country of origin, and the percentage of scholarship recipients.
Keyword: stop study, logistic regression, zero inflated poisson regression

Judul: Membran Komposit Kitosan-Zeolit untuk Aplikasi Direct Methanol Fuel Cell
Abstrak: Direct methanol fuel cell (DMFC) is a fuel cell that utilize methanol as the fuel source. The electrolyte membrane used in the DMFC system in this research was chitosan-zeolite composite membrane. The composite membrane was synthesized with chitosan-zeolite composition variation of 1:1, 1:2, 1:3, and 2:1. The membranes were analyzed by Fourier transform infrared spectrophotometer (FTIR) and scanning electron microscope, and for the specific gravity. Membrane performances were tested with methanol uptake, methanol permeability, conductivity, and potential difference in the DMFC system. The FTIR spectrum showed no formation of new functional groups inducating that the composite membrane was a result of physical mixing. Morphological analysis showed that the membrane was nonporous. Chitosan-zeolite 1:3 composite membrane had the highest specific gravity and methanol uptake, 1.4226 g/mL and 41.44%, respectively. The highest proton conductivity was showed by the 1:2 chitosanzeolite composite membrane, namely 7.2946× 10-7 S/cm. Based on this research results, chitosan-zeolite composite membrane can be applied in DMFC system.
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