Judul: Kepuasan Kerja Istri Pada Keluarga dengan Suami Istri Bekerja Menurut Jenis Pekerjaan dan Alokasi Waktu Kerja
Abstrak: This study aims to analyze the differences of job satisfaction of wives in dual earner families. The sample in this study are dual earner families that had children with maximal aged 9 years old. The sample was selected by stratified non proportional random sampling of 160 people in catagory of formal and informal jobs with working hours maximal 8 hours/day and more than 8 hours/day. The result of research showed that satisfaction of wives has reached approximately 70 percent of job satisfaction indicators which husband’s support were the highest satisfaction and the lowest were satisfaction in work place particularly on progress of jobs or buisness. Job satisfaction of wives in the formal sector higher than wives who work informally. However, there were no significantly differences in job satisfaction based on work times alocation of wives.
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Judul: Pemenuhan Tugas Dasar pada Keluarga dengan Suami Istri Bekerja menurut Jenis Pekerjaan dan Alokasi Waktu Kerja Istri
Abstrak: Basic task in the family must be fulfilled by family in order to achieve the next family task. This study aimed to identify the differences of basic task fulfillment which performed by wife on dual earner family according to the type and working time allocation of wife. The sample of this study were wives who work in the public sector on dual earner family and have children up to nine-yearold which are taken by stratified random sampling as many as 160 people. Data were collected through interview using the questionnaires. The result of research showed that three-quarters of wives been able to do the basic tasks included the fulfillment of food, clothing, housing, health, and education. Basic task fulfillment which performed by wives who work in the formal sector is higher than with those who work in the informal sector. Meanwhile, according to the working time allocation, there is no differences in the basic task fulfillment between wives who work up to 8 hours/day and more than 8 hours/day.
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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