Judul: Model pendugaan kebangkitan bank di Bursa Efek Jakarta
Abstrak: Masyarakat dapat menyimpan uang dalam bentuk investasi baik berupa tabungan, deposito, tanah, emas, apartemen dan lain sebagainya. Pilihan terhadap alat investasi tergantung kemampuannya memberikan keuntungan. Salah satu alat investasi yang memberikan keuntungan besar adalah saham. Di samping memberikan keuntungan besar, saham juga mempunyai tingkat resiko yang besar karena pemodal (investor) bisa kehilangan semua modal yang telah diinvestasikan jika emiten mengalami kebangkrutan. Penelitian ini menggunakan analisis diskriminan dan probit/logit dalam membangun model pendugaan kebangkrutan bank. Pengklasifikasian bank kedalam satu dari dua kelompok bank yang bangkrut (delisting) dari tahun 1999-2000 dan tidak bangkrut (daftar bank) tahun 2000. Untuk pembentukan model digunakan data pada tahun yang sama yaitu tahun 1997. Pada model probit/logit suatu bank dikatakan bangkrut atau berpotensi mengalami kebangkrutan jika nilai peluangnya lebih dari 0,5. Perbandingan model dikriminan dan probit/logit menunjukkan bahwa model probit/logit lebih tinggi prediksi klasifikasi yang benar dari 2 kelompok bank yaitu bank bangkrut dan tidak bangkrut, sehingga model logit digunakan sebagai model penduga kebangkrutan bank. Model logit yang didapatkan adalah : p= exp(-0,609+0,53 X1 -0,609 X4) 1+exp(-0,609+0,53 X₁ -0,609 X4) Model analisis logit ini dapat digunakan untuk memprediksikan kebangkrutan dengan syarat, rasio keuangan yang diperoleh tidak berasal dari perbandingan 2 nilai yang sama-sama negatif karena secara teori keuangan perbandingan 2 nilai yang sama-sama negatif tidak memiliki makna dan kondisi perbankan yang tidak jauh berbeda dengan kondisi tahun 1997 serta untuk mengetahui hal tersebut. bisa dilakukan uji MANOVA (Multivariate Analysis of Variance) terhadap variabel-variabel yang digunakan dalam model logit.
Keyword: uji MANOVA, analisis probit, analisis logit, analisis diskriminan, kebangkrutan bank

Judul: Analisis Pengaruh Rasio Keuangan Terhadap Probabilitas Kebangkrutan Sektor Perbankan Pada Kelompok LQ 45 Di BEI.
Abstrak: Bank is an entity that acts as a financial intermediary that puts the public funds entrusted to him, to be distributed back to the community in the form of loans and the business world at large in the form of credit. Outstanding funds through banks can be optimized to support the investment, which in turn encourages economic growth, improving standards of living and equitable development. Therefore, the banking operations should be monitored closely by the stakeholders. The purpose of this study was to analyze the probability of bankruptcy of the banking sector and analyze the relationship between accounting information in the form of financial ratios (APB, ROA, ROA, ROE, LDR, NPL, ATTM, CAR, and NIM) to the probability of bankruptcy by using KMV Merton. The Object of study is consistent in bank LQ 45 period 2009-2012 and bond issue. The data used for this study is a secondary data penel. Panel data (pooled data) is a combination of time series data over a period of four years, from 2009 to 2012 with the data cross of the four Indonesian Bank. The analytical techniques used in the estimation of Merton KMV model the probability of default probability(PD) and multiple regression analysis of panel data in analyzing the impact of financial ratios to PD. Processing the data in this study will use several statistical program packages such as Microsoft Exel 2010 and Eviews 6.0. The research result showed that the probability of bank failure Merton KMV models give an indication of the low level of bank failures with the highest rating of AAA, so PT Bank Rakyat Indonesia Tbk, PT Bank Mandiri Tbk, and PT Danamon Indonesia Tbk, worth be a place to invest. Meanwhile, PT Bank Pembangunan DaerahJawa Baratdand Banten Tbk (BJBR) has ranked B at the end of the period, in this ranking indicates that the obligor vulnerable to default, but still have the ability to meet its obligations. So BJBR remains a good to be a place for investment, but investors should be cautious to circumstances that may harm the obligor. The regression analysis,of financial ratios can be explained 88.44 per cent in the PD equation model. Based on regression analysis performed independent variables in a regression that has a significant effect on the dependent variable is ROA has a positive influence on PD in a bank listed in LQ 45 and ATTM has a negative effect on PD in a bank listed in LQ 45.
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Judul: Synthesis of Apatite - Chitosan Composite Using Duck Eggshell and Chitosan with Temperature and pH Control
Abstrak: Composite of apatite-chitosan was prepared by using chitosan as polymer matrix. Calcium phosphate was prepared from CaO and (NH4)2HPO4, which the ratio Ca : P had to be 1.67. Chitosan is produced by deacetilase from biopolymer chitin. Duck eggshell (95% CaCO3) as starting material was converted to be calcium oxide (CaO) through calcinations with temperature 1000oC for 5 hours. In-situ and ex-situ methods were prepared from apatite and chitosan (dissolved with acetate acid 2%). Calcium phosphate prepared for bone implantation, but it is too fragile and brittle to be implant into the body. So addition of chitosan can decrease crystalinity and increase mechanic characteristic (tougher). Composite apatite-chitosan was resulted by fast precipitation. Fast precipitation was held in a breaker glass with nitrogen atmosphere, under controlled temperature at 37oC and pH 7, in order to increase amount of hydroxyapatite. Precipitation with CaO which was dropped by (NH4)2HPO4. Hydroxyapatite and chitosan were appearing at samples with in-situ and ex-situ methods which indicating by peak matching of XRD (closed lattice parameter, crystal size), overlapping at FTIR spectra and supporting by SEM picture (homogenous and agglomerated particle). However, it still needs further research to examine biocompatibility osteoconductive degree of sample by in-vivo and in-vitro test.
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