Judul: Pemanfaatan Twitter pada Penerapan Pendugaan Area Kecil dalam Pendugaan Elektabilitas Calon Gubernur Provinsi Jawa Tengah
Abstrak: Suatu survei dirancang untuk menduga elektabilitas calon gubernur Provinsi Jawa Tengah pada tingkat provinsi. Ukuran contoh pada kabupaten/kota sedikit atau bahkan tidak ada. Sedikitnya ukuran contoh dapat menyebabkan nilai dugaan elektabilitas tidak presisi. Pendugaan area kecil dapat mengatasi masalah tersebut tanpa meningkatkan ukuran contoh. Terdapat dua hal yang dibutuhkan dalam pendugaan kecil yaitu model area kecil dan informasi dari luar survei. Elektabilitas diduga secara tidak langsung menggunakan model area kecil. Modifikasi model dilakukan pada pendugaan tidak langsung elektabilitas kabupaten/kota yang tidak ada contonnya. Informasi dari luar survei yang digunakan berasal dari media sosial Twitter serta data dari pilkada dan pilgub periode sebelumnya. Twitter diidentifikasi untuk menyediakan informasi tambahan yang bisa didapatkan dan layak digunakan. Kuadrat tengah galat (KTG) dugaan elektabilitas diduga menggunakan metode resampling. Pendugaan elektabilitas pada tingkat provinsi untuk pendugaan langsung maupun tidak langsung memiliki presisi yang sama, namun pendugaan tidak langsung memiliki keunggulan mampu menduga elektabilitas pada tingkat kabupaten/kota.
Keyword: pendugaan area kecil, twitter, elektabilitas

Judul: Pendugaan Perolehan Suara Level Kabupaten/Kota pada Pemilihan Gubernur Jawa Barat Tahun 2013
Abstrak: Quick count is a method for verification of election results by estimating them from samples of the polling stations. Based on quick count simulation, direct estimation of election result at the level of subpopulations, for example at the county or city level on governor election, has greater risk of error in a relatively small sample size. One of the alternative methods for solving this problem is indirect estimation approach using small area estimation (SAE). This research applied direct estimation and SAE method to estimate proportion of election results in 2013 West Java governor election. Generalized linear mixed models (GLMM) approach of SAE is choosen since the data which were used to calculate the proportion is count data. The results show, the SAE generally better than direct estimation for relatively small sample size by MSE criterion.
Keyword: quick count and small area estimation, MSE, GLMM

Judul: Peptides Hydrolysate Derived from Collagen of Snakehead Murrel (Channa striata) Skin Demonstrate Anti-oxidant and Anti-cholesterol Activities.
Abstrak: Anti-cholesterol and anti-oxidant play crucial role to combat cardiovascular disease (CVD) related to formation of arterial plagues from oxidation of cholesterol. In the past decades, research on bioactive peptides demonstrating anti-cholesterol and anti-oxidant activities have been reported as the alternative drugs. In this study, acid soluble collagen was extracted from the skin of snakehead murrel and employed to induce production of collagenase by Bacillus licheniformis F11.4. The collagenases secreted were in turn purified through AKTA Purifier (ion exchange, DEAE column) and used to produce peptides hydrolysate. The purified enzymes were grouped in two distinct collagenase fractions, designated as fraction D and F. Peptides hydrolysate produced by the fraction D was found to demonstrate HMG-CoA inhibitor activity comparable to pravastatin and limited anti-oxidant activity. Meanwhile, peptides hydrolysate generated using the fraction F demonstrated anti-oxidant activity comparable to BHT (2mM), vitamin C (2mM) and vitamin E (2mM), but limited HMG-CoA activity. Combination of the fraction D and F resulted in substantial HMG-CoA inhibition and anti-oxidant activities.
Keyword: Anti-cholesterol, anti-oxidant, bioactive peptide, collagen, collagenase, snakehead murrel