Judul: Influence of Women Economic Contribution and Role of Gender toward Family Welfare (Case at Ampek Angkek District, Agam Regency, West Sumatera)
Abstrak: The objective of this study was to analyze woman economic contribution and role of gender, also its influence towards family welfare. This cross sectional study was conducted at Ampek Angkek District, Agam Regency, West Sumatra, involved 100 women who had productive activities (formal or informal) that chosen purposively. This study revealed that woman economic contributied correlation with total family income was statistically significant, and sample’s subjective family well-being was high. Based on regression test, variables that influenced subjective family well-being were: asset ownership and total family income. Total family income had positive influence toward economic contribution of woman while husband education level and number of family had negative influence on it. Factors influenced the role of gender on decision making were asset ownership, contribution economic of women (positive influence), and wife’s age and education level (negative influence).
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Judul: Faktor-faktor yang Mempengaruhi Strategi Perempuan Bekerja dan Kesejahteraan Keluarga
Abstrak: The main purpose of this research was to know the factors that influence working women’s strategies and family welfare. The respondents were working women, have a position in a compony or institute, and have a family, consist of husband and a child or children. The study design used was a cross sectional study. The sample of this study are 30 working women in Makassar in May until June 2010. The results showed that most of respondents balanced between work and family activities. Results showed that the community and extended families surrounded respondents supported them very well through providing social supports. Working women’s strategy had significant influenced on the total of respondent’s income, respondent’s education, the numbers of children, and numbers of children under five. The family welfare had significant influenced on respondent’s education, the total of respondent’s income, interaction among husband and wife, and gender role in family.
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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