Studi Eksperimental: Efektivitas AI Dalam Meningkatkan Aksesibilitas Informasi PCOS Via Mobile App
DOI:
https://doi.org/10.70340/jirsi.v5i2.472Kata Kunci:
PCOS, artificial intelligence, aplikasi mobile, edukasi kesehatanAbstrak
Polycystic Ovary Syndrome (PCOS) merupakan gangguan hormonal yang banyak dialami perempuan usia produktif, namun tingkat literasi mengenai PCOS masih rendah. Keterbatasan akses terhadap informasi yang jelas dan mudah dipahami menyebabkan kurangnya kesadaran terhadap kondisi ini. Penelitian ini bertujuan untuk mengembangkan aplikasi mobile berbasis Artificial Intelligence (AI) bernama OVAI sebagai media edukasi untuk meningkatkan aksesibilitas informasi PCOS. Penelitian dilakukan dengan menyebarkan kuesioner kepada responden perempuan usia 18–45 tahun menggunakan skala Likert. Data yang diperoleh dianalisis untuk mengetahui tingkat penerimaan pengguna serta konsistensi instrumen penelitian.Hasil penelitian menunjukkan bahwa aplikasi OVAI berhasil dikembangkan dengan fitur chatbot interaktif dan konten edukatif yang mudah digunakan. Aplikasi dinilai membantu pengguna dalam memahami informasi terkait PCOS serta mempermudah akses informasi secara praktis. Dengan demikian, aplikasi OVAI dapat digunakan sebagai media edukasi digital bagi perempuan usia produktif.
Unduhan
Referensi
A. B. R. Amera, A. S. Abu Almakarem, A. A. Ahmed, E. M. El-Sherbieny, and M. Y. M. Sweelam, “Impact of Multimedia Education on Women's Knowledge and Practices Regarding Polycystic Ovarian Syndrome,” Egyptian Journal of Health Care, vol. 14, no. 4, pp. 211–220, 2023.
P. J. Wright, C. Burts, C. Harmon, and C. F. Corbett, “Availability and use of digital technology among women with Polycystic Ovary Syndrome: Scoping review,” JMIR Infodemiology, vol. 5, p. e68469, 2025.
K. Upreti, J. George, S. Upreti, and S. Mahajan, “Polycystic Ovary Syndrome Diagnosis: The Promise of Artificial Intelligence for Improved Clinical Accuracy,” Biomedical & Pharmacology Journal, vol. 18, no. 1, pp. 353–372, 2025.
J. Wang et al., “Artificial intelligence in polycystic ovarian syndrome management: past, present, and future,” La Radiologia Medica, 2025.
U. M. G. Umaa and U. M. P. Uma Maheswari, “SmartScanPCOS: A Feature-driven Approach to Cutting-edge Prediction of Polycystic Ovary Syndrome Using Machine Learning and Explainable Artificial Intelligence,” Heliyon, vol. 10, p. e39205, 2024.
H. Lee and S.-H. Lee, “Effectiveness of an Integrated Mobile Application for Lifestyle Modifications in Overweight Women with Polycystic Ovarian Syndrome: A Randomized Controlled Trial,” Life, vol. 13, no. 7, p. 1533, 2023.
L. Wang, Y. Liu, H. Tan, and S. Huang, “Transtheoretical model-based mobile health application for PCOS,” Reproductive Health, vol. 19, p. 117, 2022.
Y. Li, W. Shen, X. Wu, and X. Jin, “The potential of mobile health applications to improve couples' fertility: a systematic review and meta-analysis of randomized controlled trials,” Journal of Men's Health, vol. 19, no. 3, pp. 7–21, 2023.
Z. Zad et al., “Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records,” Frontiers in Endocrinology, vol. 15, 2024.
B. A. C. Permana, N. Zulkipli, M. Wasil, and N. Harianto, “Penerapan kecerdasan buatan untuk menentukan gejala utama polycystic ovary syndrom (PCOS) berdasarkan data klinis pasien,” Infotek Jurnal Informatika dan Teknologi, vol. 8, no. 2, pp. 543–553, 2025.
Z. Arabkermani, S. Barzegari, A. Rouhani, N. Nahavandi, O. Gibreel, and I. Arpaci, “Mobile apps designed for patients with Polycystic Ovary Syndrome: Content analysis using the Mobile App Rating Scale,” Journal of Medical Internet Research, vol. 27, p. e71118, 2025.
T. Brown, Change by Design: How Design Thinking Creates New Alternatives for Business and Society. New York, NY, USA: Harper Business, 2009.
J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis, 8th ed. Boston, MA, USA: Cengage Learning, 2019.
Unduhan
Diterbitkan
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2026 Ruth Megarini Panjaitan, Miranda Mas Tasya Sitorus, Evta Indra

Artikel ini berlisensiCreative Commons Attribution-ShareAlike 4.0 International License.






