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All Journal ComEngApp : Computer Engineering and Applications Journal Journal of Consumer Science Journal of Consumer Sciences
Sari, Ririn Purnama
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Computer Science & IT Education Engineering Social Sciences

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The Influence Of Mother’s Motivation And Preferences On Fish Consumption Behavior In Rural And Urban Families Sari, Ririn Purnama; Muflikhati, Istiqlaliyah
Journal of Consumer Sciences Vol. 3 No. 1 (2018): Journal of Consumer Sciences
Publisher : Department of Family and Consumer Sciences, Faculty of Human Ecology, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.392 KB) | DOI: 10.29244/jcs.3.1.39-49

Abstract

The aims of this study is to analyze the differences and the effects of mother’s motivation and preference on behavior of fish consumption in families in rural and urban areas. The research design which used was cross sectional study with purposive location selection in Duwet Village, Pekalongan Regency, and Kandang Panjang, Pekalongan City. The sample in this study is 100 families consisted of 50 families in rural areas and 50 families in urban areas. The results show that urban families prefer fresh sea fish, while rural families prefer pindang fish. The result of multiple linear regression analysis showed that factors affecting the fish consumption behavior of rural family is family size, and per capita income, while fish consumption behavior of urban family  influenced by family size, per capita income, and preference.
Deep Learning for ECG-Based Arrhythmia Classification Based on Time-Domain Features Sari, Ririn Purnama; Darmawahyuni, Annisa; Tutuko, Bambang; Firdaus; Rachmatullah, Muhammad Naufal; Sapitri, Ade Iriani; Islami, Anggun; Arum, Akhiar Wista
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 2 (2025)
Publisher : Universitas Sriwijaya

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Abstract

Arrhythmia is a disturbance in the electrical activity of the heart that can affect the rhythm and duration of the heartbeat. Early detection of arrhythmia is crucial to prevent more serious complications. Electrocardiogram (ECG) is an effective non-invasive diagnostic tool in detecting arrhythmia, but manual detection by experts takes time. To overcome this limitation, this research develops an arrhythmia classification system by utilizing deep learning. This study involves a series of stages, starting from pre-processing, feature extraction, and arrhythmia classification models using convolutional neural networks (CNN) and long short-term memory (LSTM). The results showed that feature extraction successfully improved model efficiency and accuracy. Evaluation of model performance using accuracy, recall, precision, specificity, and F1-score metrics showed that the LSTM model achieved 95% accuracy, 96% recall, 96% precision, 99% specificity, and 96% F1-score, outperforming the CNN model which achieved 91% accuracy, 90% recall, 89% precision, 98% specificity, and 89% F1-score. Thus, these results indicate that the LSTM model is superior in arrhythmia classification.
The Influence Of Mother’s Motivation And Preferences On Fish Consumption Behavior In Rural And Urban Families Sari, Ririn Purnama; Muflikhati, Istiqlaliyah
Journal of Consumer Sciences Vol. 3 No. 1 (2018): Journal of Consumer Sciences
Publisher : Department of Family and Consumer Sciences, Faculty of Human Ecology, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jcs.3.1.39-49

Abstract

The aims of this study is to analyze the differences and the effects of mother’s motivation and preference on behavior of fish consumption in families in rural and urban areas. The research design which used was cross sectional study with purposive location selection in Duwet Village, Pekalongan Regency, and Kandang Panjang, Pekalongan City. The sample in this study is 100 families consisted of 50 families in rural areas and 50 families in urban areas. The results show that urban families prefer fresh sea fish, while rural families prefer pindang fish. The result of multiple linear regression analysis showed that factors affecting the fish consumption behavior of rural family is family size, and per capita income, while fish consumption behavior of urban family  influenced by family size, per capita income, and preference.
Co-Authors Arum, Akhiar Wista Bambang Tutuko Darmawahyuni, Annisa Firdaus Islami, Anggun Istiqlaliyah Muflikhati Muhammad Naufal Rachmatullah Sapitri, Ade Iriani