Judul: Evaluasi Rintisan Sekolah Bertaraf Internasional Melalui Pendekatan Regresi Logistik Biner, Analisis Profil, dan Penskoran
Abstrak: Recorded since its independence, Indonesia has changed the education curriculum as much as eight times, starting from the Kurikulum Rencana Pembelajaran in 1947 to the Kurikulum Tingkat Satuan Pendidikan (KTSP) 2006. Recent curriculum change is accompanied by the implementation of a classification system based on the quality of schools into Sekolah Standar Nasional (SSN), Rintisan Sekolah Bertaraf Internasional (RSBI), and Sekolah Bertaraf Internasional (SBI). A school can be classified into SBI if it meets several criteria, one of which schools have received the recognition status of as RSBI from the related institutions. Ironically, from the initial implementation of the system, there is no school is managed to meet the criteria as an international school. This indicates that an error occurred in the education system. Based on the test results of binary logistic regression using backward elimination, obtained factors affecting international school’s status is location, ISO certification, the percentage of the poor students, school tuition, and the tuition per month. The result is supported by the value of the percentage of the overall classification accuracy was 85.7% and the value of Nagelkerke R2 of 0.647. Testing with profile analysis shows that there are no relationship parallels and similarities between RSBI and non RSBI schools in terms of school education expenses, which include school tuition and tuition per month. Nevertheless, through the comparison of the average cost of school education, it is known that the cost of education at the school RSBI almost two-fold higher than the non RSBI schools, it is consistent with the fact that occurs in society nowadays.
Keyword: binary logistic regression, international school, profile analysis, scoring

Judul: Analisis Diskriminan Logistik untuk Klasifikasi Sekolah Standar Internasional Berdasarkan Status Afiliasi
Abstrak: Affiliate program is one of the government's program to improve the quality of education in Indonesia. The main activity in this program is a partnership with schools in developed countries so that interactions can occur between the components of the school. Implementation of this program need support of the government and society. In order that all support can be utilized maximally, required methods to classify and predict an affiliation status of school. Logistic discriminant analysis is one of the alternatif method to classify which the variables is a combination of numerical and categorical. Logistic discriminant function that used to classify of schools into the particular affiliate status is obtained by logit model predicted as a result of final reduction models.. Through the partial parameter testing, variables that affect the status of affiliation is school type, education of headmaster, and amount of the monthly tuition of international class. The classification accuracy of the discriminant function that is equal to 66.46%.
Keyword: affiliate, logistic discriminant analysis

Judul: Trichomonas Gallinae Penyebab Trichomonosis Pada Unggas
Abstrak: Trichomonas gallinae adalah protozoa yang bergerak aktof dengan keempat flagella yang mempunyai layar dan pada salah satu sisinya terdapat membran seperti sirip ikan yang berombak. Spesies dari genus Trichomonas ini mempunyai arti penting pada unggas, karena dapat menyebabkan infeksi pada alat pencernaan bagian atas.
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