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All Journal Viva Medika: Jurnal Kesehatan, Kebidanan dan Keperawatan Jurnal Kajian Ilmiah Jurnal Pengabdian Masyarakat
Oktavia Putri Handayani
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Pengaruh Voucher Diskon dan Gratis Ongkos Kirim Terhadap perilaku Konsumtif ditinjau dari Perspektif Islam Oktavia Putri Handayani; Meitawati, Tito
Jurnal Kajian Ilmiah Vol. 24 No. 3 (2024): September 2024
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/3hpynp70

Abstract

This study aims to analyze whether there is a significant influence between offering discount vouchers and free shipping on consumptive behavior. This type of research is descriptive research using a quantitative approach. The data collection tool used was a questionnaire which was distributed to 250 respondents to the Racun Shopee Karawang group. The results of this study indicate that there is an influence between free shipping vouchers and discount vouchers on consumptive behavior. This is a negative thing for the view of Islamic economics because Allah SWT has prohibited wasteful acts as stated in QS. Al Isro': 26-27.
Peningkatan Literasi Digital: Edukasi Kejahatan Siber Dan Pinjaman Online Illegal MAN 2 Cilacap Nisa, Khoirun; Purwono; Oktavia Putri Handayani; Setiawan
Jurnal Pengabdian Masyarakat - PIMAS Vol. 4 No. 2 (2025): Mei
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v4i2.1831

Abstract

maraknya pinjaman online ilegal. Minimnya literasi digital membuat individu lebih rentan terhadap pencurian data, serangan phishing, dan penipuan daring. Kegiatan pengabdian ini bertujuan meningkatkan kesadaran dan pemahaman siswa MAN 2 Cilacap mengenai keamanan digital serta cara menghindari ancaman siber dan pinjaman ilegal. Metode yang digunakan meliputi survei awal untuk mengukur tingkat pemahaman peserta, seminar interaktif, studi kasus, dan simulasi praktik perlindungan data serta keamanan akun digital. Evaluasi dilakukan dengan membandingkan hasil pre-test dan post-test. Hasil menunjukkan peningkatan pemahaman peserta, yaitu konsep phishing (50%), pentingnya kata sandi yang kuat (50%), mengenali pinjaman online ilegal (50%), mengamankan data pribadi (50%), serta penggunaan autentikasi dua faktor (57%). Pendekatan berbasis praktik terbukti lebih efektif dibandingkan metode konvensional karena peserta dapat langsung menerapkan strategi perlindungan digital. Literasi digital menjadi keterampilan esensial untuk menghadapi ancaman siber yang terus berkembang. Untuk keberlanjutan program, diperlukan pendampingan lanjutan, materi edukasi digital interaktif, dan forum diskusi daring agar kebiasaan digital yang lebih aman dapat terus diterapkan oleh peserta.
Understanding the Role of Artificial Intelligence in Community and Home Nursing Care: A Systematic Literature Review Sony Kartika Wibisono; Oktavia Putri Handayani; Burhanuddin bin Mohd Aboobaider
Viva Medika Vol 18 No 3 (2025)
Publisher : LPPM Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/vm.v18i3.2225

Abstract

Community and home nursing care are increasingly central to health systems in response to population ageing, rising chronic disease burden, and the need to reduce avoidable hospital utilization. Artificial intelligence (AI) has emerged as a technological innovation with potential to support nursing practice in non-hospital settings. However, the role and implications of AI within community and home nursing care have not been systematically synthesized. This systematic literature review aimed to examine how AI supports community and home nursing practice, identify the types of AI technologies applied, and analyze their reported outcomes and implications for nursing care. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 237 records were identified through electronic database searches. After duplicate removal and screening, 38 full-text articles were assessed for eligibility, and 15 studies were included in the final qualitative synthesis. The included studies, published between 2024 and 2026, encompassed diverse methodological designs and were conducted in community-based, home health, telemonitoring, and mobile nursing contexts. The findings indicate that AI technologies primarily include machine learning–based predictive models, clinical decision support systems, telemonitoring platforms, digital wound assessment tools, and large language model–supported analytics are used to enhance risk prediction, remote monitoring, chronic disease management, and care coordination. Across studies, AI was associated with improved early detection of clinical deterioration, enhanced workflow efficiency, and potential reductions in hospital admissions. Nevertheless, effective implementation depended on nurse engagement, system usability, digital literacy, and organizational support. AI demonstrates substantial potential to strengthen community and home nursing care when integrated within a human-centered and ethically grounded framework that preserves professional nursing judgment.
Co-Authors Burhanuddin bin Mohd Aboobaider Khoirun Nisa Meitawati, Tito Purwono Setiawan Sony Kartika Wibisono