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All Journal Warta Ikatan Sarjana Komunikasi Indonesia Journal of Computer Science Advancements
Reddy Anggara
Universitas Singaperbangsa Karawang
Computer Science & IT Languange, Linguistic, Communication & Media

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Makna Tanggung Jawab Anak Perempuan pada Karakter Sew dalam Film How to Make Millions Before Grandma Dies Aprilinda Nurjanah; Reddy Anggara; Adzkia Kirana Dipa
Warta Ikatan Sarjana Komunikasi Indonesia Vol. 9 No. 1 (2026): Warta Ikatan Sarjana Komunikasi Indonesia
Publisher : Ikatan Sarjana Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/0phng338

Abstract

Tanggung jawab anak terhadap orang tua merupakan nilai yang masih dijunjung dalam kehidupan keluarga Asia. Dalam praktiknya, anak perempuan sering menjadi pihak yang lebih banyak terlibat dalam perawatan orang tua dibanding anggota keluarga lainnya. Penelitian ini bertujuan menganalisis makna tanggung jawab anak perempuan yang dibangun melalui karakter Sew dalam film How to Make Millions Before Grandma Dies menggunakan semiotika Roland Barthes. Penelitian ini menggunakan pendekatan kualitatif dengan menganalisis makna denotasi, konotasi, dan mitos pada adegan, dialog, tindakan, ekspresi, serta situasi naratif yang dipilih secara purposif. Hasil penelitian menunjukkan bahwa tanggung jawab anak perempuan dimaknai sebagai kewajiban moral yang diwujudkan melalui pengorbanan, perhatian, kehadiran emosional, dan kesetiaan terhadap orang tua. Karakter Sew ditampilkan sebagai anak perempuan yang terus memprioritaskan kebutuhan ibunya di tengah tuntutan pekerjaan, konflik keluarga, dan kepentingan pribadi. Pada tingkat mitos, film menegaskan pandangan budaya bahwa perawatan orang tua lebih dekat dilekatkan kepada anak perempuan sebagai penjaga relasi keluarga. Penelitian ini berkontribusi pada kajian komunikasi dan semiotika film dengan menunjukkan bagaimana sinema populer Asia membangun makna tanggung jawab, peran gender, dan perawatan antargenerasi melalui tanda verbal dan visual yang berlapis.
The Influence of Artificial Intelligence Technology on User Experience in E-Business Haerawan Haerawan; Adam Mudinillah; Guijiao Zou; Reddy Anggara
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1623

Abstract

The rapid advancement of artificial intelligence (AI) technology has transformed the landscape of e-business, significantly influencing user experience. AI-driven tools such as chatbots, personalized recommendations, and predictive analytics are becoming integral to e-business platforms. Despite widespread adoption, understanding the extent to which AI enhances user satisfaction, engagement, and loyalty remains an area requiring further exploration. This research examines the influence of AI technology on user experience in e-business, focusing on its practical applications and user perceptions. The study adopts a mixed-method approach, combining quantitative surveys with qualitative interviews. Data were collected from 300 e-business users and analyzed to assess key metrics such as usability, efficiency, and satisfaction. Additionally, in-depth interviews with industry experts provided insights into the strategic implementation of AI technologies. The findings reveal that AI significantly enhances user experience by offering personalized interactions, streamlining navigation, and improving response times. Users reported higher satisfaction levels when AI-driven features were implemented effectively. However, concerns about data privacy and algorithmic biases emerged as critical challenges, indicating the need for balanced approaches in AI deployment. The study concludes that while AI technology holds immense potential to revolutionize user experience in e-business, its effectiveness depends on strategic implementation and addressing user concerns. Future research should explore the integration of AI with other emerging technologies to further optimize user interactions in digital environments.
Co-Authors Adzkia Kirana Dipa Aprilinda Nurjanah Guijiao Zou Haerawan Haerawan Mudinillah, Adam