Judul: Klasifikasi khasiat formula jamu menggunakan metode support vector machine dan algoritme k-means sebagai penyeleksi fitur
Abstrak: Jamu adalah tanaman obat tradisional dari Indonesia yang terkenal dengan istilah herba atau herbal yang terbuat dari bahan alami seperti akar-akaran, daundaunan, kulit batang, buah, dan bagian dari tubuh hewan. Tujuan penelitian ini adalah membuat sistem klasifikasi khasiat jamu berdasarkan komposisi tanaman menggunakan metode support vector machine (SVM) dan menerapkan metode clustering k-means sebagai seleksi fitur. Hasil dari penelitian ini dibandingkan dengan penelitian sebelumnya yang menggunakan metode SVM tanpa dilakukan seleksi fitur. Penelitian ini menggunakan ragam untuk mengevaluasi hasil clustering. Sebanyak 3138 data jamu dan 465 jenis tanaman dikelompokkan ke dalam 100 cluster dengan ragam sebesar 0.0096. Pengelompokan tersebut berhasil mereduksi dimensi data sebanyak 3047 data jamu dan 236 jenis tanaman. Klasifikasi SVM dengan menggunakan seleksi fitur menghasilkan akurasi sebesar 71.5%.
Keyword: classification, feature selection, jamu, k-means, machine learning, support vector machine

Judul: Sistem Klasifikasi Khasiat Formula Jamu dengan Metode Support Vector Machine
Abstrak: Jamu is made from natural materials such as roots, leaves, wood and fruits. The composition of jamu formula is usually constructed based on empirical data or personal experiences. Jamu has many variations of formula. Thus, the classification of jamu efficacy based on its composition of plants remains an interesting task. The purpose of this research is to develop a classification system for jamu efficacy based on the composition of plants using Support Vector Machine (SVM). This method were compared to those of previous research using Partial Least Squares Discriminant Analysis (PLS-DA). The results show that the SVM method with Radial Basis Function (RBF) kernel using data reduction and balanced dataset obtains higher accuracy than those of PLS-DA.
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Judul: The Effects of Hypothyroidism in the Fertility of Male Rats
Abstrak: Thyroid hormones are involved in the development and maintenance of virtually all tissues. The purpose of the study is to understand effects of the neonatal hypothyroidism in the fertility of male rats. Recent studies with juvenile rats indicate that changes in thyroid function early in life have a major impact on the endocrine and/or paracrine factors regulating testicular growth and function. However, one should keep in mind that hypothyroidism is a complex hormonal dysfunction rather than a single hormonal defect. Hypothyroidism has been also shown to reduce the secretion of GnRH (gonadotropins releasing hormone), LH (Luteinizing Hormone), FSH (Follicle Stimulating Hormone), GH (Growth Hormone) and testicular testosterone in rats. Therefore, many of the testicular changes observed in prolonged hypothyroidism could result in some degree of diminished levels of the aforementioned hormones. The transient neonatal hypothyroidism model results in the unnatural testicular development and in sperm production in neonates hence resulting in decreased fertility upon puberty.
Keyword: Hypothyroidism, Neonates, Testicular Growth, Fertility