Judul: The Influence of Gender Values and Gender Roles on the Resilience of Fisherman Families During
the Pandemic Covid-19
Abstrak: Fisherman families as families who dominate coastal areas cannot be separated from the impact of the Covid-19 pandemic. Changes that occur in the life of a fisherman's family caused by various aspects require each family member to adapt to the changes that occur. This research was conducted in Eretan Wetan Village, Indramayu Regency. This research uses non-probability sampling method with purposive sampling technique. The study was conducted in April-May 2022. The number of respondents in this study were 40 fishermen's wives with the condition that they have at least one child. The results of multiple linear regression test showed that there was a significant positive effect of gender values and gender roles on the resilience of fishermen's families., Keluarga nelayan sebagai keluarga yang mendominasi daerah pesisir tidak dapat terlepas dari dampak pandemi Covid-19. Perubahan-perubahan yang terjadi didalam kehidupan keluarga nelayan yang disebabkan oleh berbagai macam aspek mengharuskan setiap anggota keluarga beradaptasi dengan perubahan yang terjadi. Penelitian ini dilakukan di Desa Eretan Wetan, Kabupaten Indramayu. Penelitian ini menggunakan metode non-probability sampling dengan teknik purposive sampling. Penelitian dilakukan pada April-Mei 2022. Jumlah responden dalam penelitian ini adalah sebanyak 40 istri nelayan dengan syarat memiliki minimal satu orang anak. Hasil uji regresi linear berganda menunjukkan terdapat pengaruh positif signifikan nilai gender dan peran gender terhadap ketahanan keluarga nelayan.
Keyword: family resilience, gender roles, gender values

Judul: The Influence of Economic Pressure and Gender Role to Family Resilience During the Covid-19 Pandemic
Abstrak: Adanya Covid-19 merubah tatanan kehidupan sosial ekonomi masyarakat. Keluarga harus mampu menjalankan peran gender dan mempertahankan ketahanan keluarga. Penelitian ini bertujuan menganalisis pengaruh karakteristik keluarga, tekanan ekonomi, dan peran gender terhadap ketahanan keluarga selama masa pandemi Covid-19. Responden pada penelitian ini adalah istri dari keluarga utuh yang memiliki anak yang tersebar di Kabupaten Bogor. Teknik penarikan contoh menggunakan metode purposive sampling dengan jumlah contoh sebanyak 84 orang. Data dikumpulkan melalui kuesioner online menggunakan google form. Data diolah menggunakan uji deskriptif dan uji regresi linier berganda. Hasil penelitian menemukan sebagian besar tekanan ekonomi keluarga berada pada kategori rendah. Sebagian variabel peran gender berada pada kategori rendah. Namun, sebagian besar ketahanan keluarga berada pada kategori tinggi. Uji hubungan karakteristik responden menunjukkan terdapat hubungan signifikan negatif antara umur suami, lama menikah, tekanan ekonomi subjektif, dan tekanan ekonomi total dengan ketahanan keluarga. Selain itu, pendidikan suami-istri, pendapatan suami, kemitraan gender dan peran gender berhubungan signifikan positif dengan ketahanan keluarga. Hasil analisis uji regresi linier berganda menunjukkan terdapat pengaruh yang signifikan negatif antara tekanan ekonomi dengan ketahanan keluarga dan pengaruh signifikan positif pada peran gender dan pendapatan suami. Hal ini berarti semakin rendah tekanan ekonomi yang dihadapi oleh keluarga maka semakin tinggi ketahanan keluarga yang dimiliki dan semakin tinggi peran gender serta pendapatan suami maka ketahanan keluarga akan semakin baik., The existence of Covid-19 has changed the social and economic life of society. Families must be able to carry out gender roles and maintain family resilience. This study aims to analyze the effect of family characteristics, economic pressure, and gender roles on family resilience during the Covid-19 pandemic. Respondents in this study were wives from intact families with children scattered in Bogor Regency. The sampling technique used purposive sampling method with the number of samples as many as 84 people. Data was collected through an online questionnaire using a google form. The data were processed using descriptive tests and multiple linear regression tests. The results of the study found that most of the family's economic pressure was in the low category. Some of the gender role variables are in the low category. However, most of the family resilience is in the high category. The relationship test of respondents' characteristics showed that there was a significant negative relationship between husband's age, length of marriage, subjective economic pressure, and total economic pressure with family resilience. In addition, husband and wife's education, husband's income, gender partnership and gender roles are significantly positively related to family resilience. The results of multiple linear regression analysis showed that there was a significant negative effect between economic pressure and family resilience and a significant positive effect on gender roles and husband's income. This means that the lower the economic pressure faced by the family, the higher the family's resilience and the higher the gender role and husband's income, the better the family's resilience.
Keyword: economic pressures, family characteristics, family resilience, gender role

Judul: Klasifikasi Citra Menggunakan Metode Minor Component Analysis pada Sistem Temu Kembali Citra
Abstrak: In content-based image retrieval (CBIR) system, retrieving process is done by comparing a query image to all images from image database. This process is not effective because spends much times besides the retrieved images are not always match with the query image particularly for large databases. To solve this problem, image classification is proposed. In this research, minor component analysis (MCA) is used for images classification. For each image, a feature vector describing color, shape and texture. MCA vector will be formed as a representative pattern for each images class. In classification process, image database divided for image training and testing. Train data used to build classification model while test data used for test the accuracy of classification model. From this research it can be concluded that usage of MCA can improve the accuracy about 33.20%. This improvement shows that MCA can be applied in CBIR system, especially for large images database.
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