Claim Missing Document
Check
Articles

Found 2 Documents
Search

(Literature Review) Penetapan dan Pemanfaatan Big Data Dalam Peningkatan Kesehatan Masyarakat Rosmita, Rosmita; Samur, Rizki; Maharani, Vidia Putri; Fahri, Muhammad; Harton, Budi; Daud, Alfani Ghutsa
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.2371

Abstract

Penelitian ini membahas pemanfaatan big data dalam meningkatkan kesehatan masyarakat. Metolelogi dalam penelitian ini dengan pendekatan literature review. Hasil penelitian menunjukkan bahwa hanya 21,7% kebijakan kesehatan yang berbasis big data, menandakan masih rendahnya integrasi data besar dalam proses pengambilan keputusan. Padahal, penerapan big data, terutama bila dikombinasikan dengan teknologi seperti Artificial Intelligence (AI), Internet of Things (IoT), dan Machine Learning, memiliki potensi besar dalam menghadapi tantangan triple burden disease: penyakit menular, tidak menular, dan penyakit yang muncul kembali. Big data terbukti berperan penting dalam peningkatan efisiensi layanan kesehatan, seperti deteksi penyakit, alokasi sumber daya, manajemen pasien, dan pengambilan keputusan berbasis data. Studi ini juga mengungkap peran signifikan big data dalam penanganan pandemi COVID-19, termasuk pemantauan penyebaran virus secara real-time dan pengembangan vaksin. Analisis sentimen masyarakat di Twitter selama pandemi menunjukkan mayoritas bersifat netral, namun sentimen negatif yang cukup tinggi (lebih dari 20%) mengindikasikan ketidakpuasan terhadap layanan kesehatan. Metode klasifikasi sentimen menggunakan K-Nearest Neighbors (K-NN) dengan TF-IDF menunjukkan efektivitas dengan akurasi mencapai 76,19%. Transformasi digital turut mendorong inovasi layanan seperti telemedicine, aplikasi mobile, wearable device, serta peningkatan efisiensi operasional layanan kesehatan. Hasil penelitian ini menegaskan pentingnya integrasi big data dan teknologi digital dalam membangun sistem kesehatan yang responsif, efisien, dan berbasis data.
Transformasi Pengumpulan Data Kualitatif: Inovasi Aplikasi Mobile untuk Penelitian Kesehatan Masyarakat di Wilayah Terpencil Elona, Rika Media; Maharani, Vidia Putri; Hartono, Budi; Daud, Valfani Ghutsa
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.20330

Abstract

Transformation in qualitative data collection methods through the use of mobile applications is now an important issue in public health research, especially in remote areas that face various infrastructure and information access constraints. This study aimed to evaluate the effectiveness and challenges of using mobile applications to collect qualitative data in resource-limited settings. This study used qualitative methods with a case study approach, involving 30 participants consisting of health workers, field researchers, and community members from three remote locations. Data were collected through in-depth interviews and participatory observation, and analyzed using thematic analysis to identify key patterns, barriers, and potential uses of mobile apps. The results showed that mobile apps can speed up the data collection process, improve the accuracy and security of information, and facilitate interaction between researchers and respondents. However, the study also found a number of challenges, such as low digital literacy, limited internet network, and resistance to new technology among the community. Overall, the implementation of mobile apps proved to have a positive impact in expanding the reach and efficiency of qualitative data collection in areas with limited access, while encouraging the adoption of technology in public health research. The findings make an important contribution to the development of research methods and offer practical recommendations for policy makers and implementers of health programs in remote areas.