Judul: Factors that Relating to the Female Reproductive Period of 2010 in the Pesawaran District Lampung Province
Abstrak: Female reproduction can only take place within a limited span starting from menarche and ended at menopause. Menarche was the first menstruation experienced by a woman, while menopause is the cessation of menstruation. Pesawaran district of Lampung Province as a rural environment was chosen to complement the scarce female reproductive period data in Indonesia. This study used longitudinal method and data was collected from interview. The data was processed using the Probit GLM (Generalized Linear Models) in R program. The result showed that menopausal age was 49.08 years, menarche age was 14.55 years (in 1976), and reproductive period was 34.53 years. Women who use hormonal contraception get faster menopause (48.59 years) than those using nonhormonal contraception (49.08 years). Reproductive period of woman is not related by their reproductive history, nutritional status, and socioeconomic level. Age of menarche in 2010 (13.61 years) has an acceleration 0.94 years compared to the age of menarche in 1976 (14.55 years)
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Judul: Jangka reproduksi dan kajian faktor-faktor yang mempengaruhinya pada wanita di kabupaten cirebon provinsi jawa barat
Abstrak: Research on reproductive span of Indonesian women is scarce. There was conflicting data between urban and rural area. Present study used longitudinal data to get the reproductive span of women who live in Cirebon rural community. Data was collected from interview. The data was processed using the Probit GLM (Generalized Linear Models). The result showed that age of menarche was 14.51 years and menopause was 48.53 years, so that the reproductive span was 34.02 years. This reproductive span is not influenced by the use of contraceptives and their reproductive history which included age at first childbirth, the distance between the first and last pregnancy and number of children (parity). Women in rural areas have a shorter reproductive span than women in urban areas. Secular trends decreased the age of menarche.
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Judul: Quantum Convolutional Neural Network (QCNN) for Classification Brain Tumor MRI Image
Abstrak: Penelitian ini bertujuan untuk mengembangkan model deteksi tumor otak menggunakan citra MRI dengan metode Quantum Convolutional Neural Network. Data yang digunakan adalah citra MRI otak yang terdiri dari citra tumor otak glioma, meningioma, hipofisis, dan negatif tumor yang dibagi kedalam data latih dan uji dengan rasio 80:20. Selanjutnya data latih dilakukan penyeimbangan dengan teknik oversampling. Dilakukan pengembangan model untuk mendeteksi tumor otak (biner), dan juga model untuk mengklasifikasikan jenis tumor otak (multiclass). Parameter yang digunakan dalam pengembangan model adalah jumlah ukuran filer = 2 dan kedalaman = 4, dengan qubit 4, dan dilatih dengan jumlah epoch sebanyak 10. Data akan diproses dengan metode Quantum Convolutional Neural Network yang terdiri dari lapisan quantum convolution, lapisan flatten, dan lapisan dense. Model multiclass mendapatkan akurasi 52%, setelah data latih diseimbangkan akurasi model meningkat menjadi 62%, sedangkan model biner mendapatkan akurasi 88%, setelah data latih diseimbangkan akurasi model meningkat menjadi 89%.
Keyword: Citra MRI, Klasifikasi Citra, QCNN, Tumor Otak