Judul: Peran Aktivitas Perempuan Pesisir Dalam Rangka Peningkatan Ekonomi Keluarga: Kasus di Kabupaten Tangerang
Abstrak: Nowadays, the poverty issue of coastal people is still the top issue of developing maritime and fishery sector. There is apotential problem solving the issue of poverty through empowering women of coastal people. Women population is slightly more than half of the total population of Indonesia. The proportion of woman population is about the same of coastal area. This big number plus high quality skills render huge social ecomomic potensials. The main reason of this research is one step to pull poverty out through gender perspective and contribution, especially by improving women roles. The conservation of gender approach is that poverty issue and gender have the same root; poverty will cause difference of gender level, vice versa difference of gender level will cause poverty. Meanwhile women roles are not comprehended yet, or else it is not followed up by real action to take benefits from the roles. The objectives of this research are to analyze coastal women activities, knowing factors determining income, knowing the contibution of coastal women income to family's. This research uses multiple regresion analysis method. The final conclusion of the study is that coastal women, out of in house family daily activities regularly, do productive and social activities. On the other hand, men do only productive and social activities. Women contribute family income positively, but men roles of making a decision is still dominant.
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Judul: Peranan Gender dalam Rumah Tangga Perikanan di Desa Tanjung Pasir, Kecamatan Teluknaga, Kabupaten Tangerang
Abstrak: Tanjung Pasir is a coastal area in Tangerang District where majority of the inhabitans depends their livelihood to the fisheries resources. There are three fishery businesses in Tanjung Pasir, include fishing, fish-processing, and fish breeding carried out by women and men. Various programs have been implemented, but gender role and relation in the household still unresolved issue. The research objective is to study the role of gender and decision-making in the fisheries’s households. Survey method using questionnaire was used to collect data and in-depth interviews with key informants were also-conducted. Some factors in characteristic of household and socio-economic condition show corelation with the gender roles and decision-making in the fisheries’s household.
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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