Judul: Identifikasi Faktor-Faktor yang Memengaruhi Indeks Prestasi Kumulatif (IPK) Menggunakan Regresi Logistik Biner dan Multinomial
Abstrak: Grade Point Average (GPA) is a measure of student academic achievement at a college education. The objective of this study is to identify factors that influence a student GPA of the Mathematics Department of IPB in generation 2009–2011 using binary and multinomial logistic regression. Based on binary logistic regression, the factor of student GPA is duration of study. Meanwhile based on multinomial logistic regression, the factors of student GPA are mother employment status, expenditure per month in addition to the cost of living and academic, and extra hours of study such as tutoring. This shows that student classification based on their GPA determines the conclusion
Keyword: binary regression logistic, grade point average (GPA), multinomial regression logistic.

Judul: Identifikasi Faktor-faktor yang Memengaruhi Keberhasilan Akademik Mahasiswa Menggunakan Regresi Logistik Multinomial
Abstrak: Keberhasilan akademik mahasiswa di perguruan tinggi dapat ditentukan berdasarkan nilai indeks prestasi kumulatif (IPK) dan ketepatan waktu kelulusan. Selama ini pemodelan terhadap IPK dan ketepatan waktu kelulusan sebagian besar dilakukan secara terpisah. Dalam penelitian ini, dibentuk empat kategori kombinasi antara IPK dan ketepatan waktu kelulusan, yaitu IPK<3.00 dan lulus tidak tepat waktu, IPK<3.00 dan lulus tepat waktu, IPK≥3.00 dan lulus tidak tepat waktu, serta IPK≥3.00 dan lulus tepat waktu. Penelitian ini menggunakan data mahasiswa IPB angkatan 48 untuk mengidentifikasi faktor – faktor yang memengaruhi keberhasilan akademik mahasiswa serta mengetahui tingkat ketepatan klasifikasi dari model yang diperoleh. Salah satu analisis yang dapat digunakan yaitu analisis regresi logistik multinomial dengan peubah respon kombinasi antara IPK dan ketepatan waktu lulus. Hasil analisis regresi logistik multinomial tersebut menunjukkan bahwa faktor-faktor yang memengaruhi keberhasilan akademik mahasiswa IPB angkatan 48 adalah jenis kelamin, IPK TPB, beasiswa, jalur masuk, asal daerah, dan fakultas. Model regresi logistik multinomial memberikan ketepatan klasifikasi sebesar 65.4%.
Keyword: IPK, ketepatan waktu kelulusan, regresi logistik multinomial

Judul: Sintesis Flavonol melalui 2’-Hidroksikalkon
Abstrak: Flavonol is a class of flavonoids commonly found in fruits and vegetables. Flavonol is very useful, especially in food sector and health. In this study, flavonol unsubstituted was successfully synthesized from an intermediate material 2’-hydroxychalcone. The 2’-hydroxychalcone was synthesized by Claisen-Schmidt condensation method between o-hydroxyacetophenone and benzaldehyde using 4 different catalysts, namely KOH 60%, solid pellet of KOH-grinding technique, BF3-Et2O, and NaH in DMF. The KOH 60% was the best catalyst, giving the highest yield (57%). Afterward, the flavonol was synthesized in 1-stage oxidation cyclization of o-hydroxyacetophenone using Algar-Flynn-Oyamada (AFO) reaction, giving 76%. The flavonol total yield from 2’-hydroxychalcone was 43%. All synthesized products were characterized by their melting points and their spectra. The success of the synthesis flavonol opens the way to synthesis of useful flavonol derivatives such as quercetin and kaempferol.
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