Judul: Analisis Minat Siswa SMA Ibrahimy Sukorejo Melanjutkan ke IAII Sukorejo Menggunakan Regresi Logistik Biner dan Multi Korespondensi
Abstrak: SMAI Sukorejo merupakan salah satu sekolah yang berada di pondok pesantren Salafiyah Syafi’iyah Sukorejo. Pesantren ini memiliki perguruan tinggi IAII Sukorejo yang memungkinkan menjadi pilihan lulusan SMAI Sukorejo untuk melanjutkan pendidikan. Penelitian ini meneliti tentang siswa SMAI Sukorejo yang berminat melanjutkan ke IAII Sukorejo dan faktor-faktor yang mempengaruhi minat tersebut. Minat siswa diteliti karena berdasarkan data tahun 2009-2011, siswa yang melanjutkan ke IAII Sukorejo cukup rendah ditunjukkan dengan persentase yang kurang dari 30%. Akan tetapi berdasarkan hasil survei tahun 2012, siswa yang berminat melanjutkan ke IAII Sukorejo lebih besar yaitu 58.08% dan sisanya 41.92% lebih berminat melanjutkan ke perguruan tinggi selain IAII Sukorejo. Hasil regresi logistik biner menunjukkan bahwa peubah penjelas yang mempengaruhi minat siswa melanjutkan ke IAII Sukorejo adalah jenis kelamin, pendidikan ibu, dan bidang ilmu yang diinginkan. Analisis multi korespondensi memperlihatkan bahwa karakteristik yang dekat dengan minat melanjutkan ke IAII Sukorejo adalah jenis kelamin laki-laki, pendidikan ibu tamat SD-SMP, dan bidang ilmu yang diinginkan keagamaan.
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Judul: Faktor-faktor yang mempengaruhi minat siswa melanjutkan pendidikan ke perguruan tinggi dengan menggunakan Regresi Logistik (Studi Kasus: minat siswa SMU/sederajat di Kab.Garut terhadap STAI Al- Musaddadiyah)
Abstrak: Interest is a desire that tends to settle in a person to drive on a particular option as a necessity, then continue to be realized in real action with the attention on an object that wants to seek information as knowledge for themselves. Logistic regression is used for describing between dependent variable and independent variable to categorical data. In logistics regression analysis, y=0 showed that students are not interested in continuing their study while y=1 showed that students are interested in continuing their study to the university. STAI characteristics of the students who most of the madrasah aliyah. look at the existing market potential, it is necessary to investigate any factors that influence students' interest to continue their education into college. one analysis can be used to model the relationship is logistic regression. from the regression results indicate that factors that affect, among others, the job of parents, parents' education, average income of parents, the students achievement and there were some brothers or sister who continue study to college. The result of logistic regression method shows that interest that the parents education, average income of parents, motivating factor.
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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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