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Surveilans Kesehatan Remaja: Skrining Manual Tanda Gejala dan Pemeriksaan Fisik untuk Deteksi Anemia di Lingkungan Sekolah Kota Palembang Intan Kumalasari; Neina Messy Agustin; Suci Nurinda; Balkis Syalshalisa; Raya Syakilla Eleuwarin; Dea Silvia; Marshella Rui Utami
Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan Vol. 3 No. 2 (2026): April : Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/aksinyata.v3i2.3161

Abstract

Anemia in adolescents is a serious health issue that impacts students' concentration and productivity. This community service activity aims to conduct early detection of anemia through a comprehensive manual screening method at three high schools: SMA Sains Alumnika Palembang, SMA Candradimuka, and SMA Mandiri. The implementation method involved three main stages: identification of clinical signs and symptoms (5L), visual observation of the palpebral conjunctiva, and hemoglobin (Hb) level measurement using Point of Care Testing (POCT) devices. Held from April 1st to 8th, 2026, the activity involved the active participation of students and school authorities as an effort toward independent nutritional surveillance. The screening results showed a correlation between subjective symptoms, pale conjunctiva conditions, and Hb measurement results in the field. Changes in students' behavior regarding nutritional intake and the emergence of new awareness among school authorities about the importance of routine check-ups served as indicators of successful social transformation. In conclusion, integrated manual screening is highly effective as a preventive health measure for adolescents within educational environments.
Pengembangan MAMAI-Check: Aplikasi Progressive Web App untuk Deteksi Dini dan Surveilans Kanker Payudara Terpadu Intan Kumalasari; Suci Nurinda; Maksuk Maksuk
Inovasi Kesehatan Global Vol. 3 No. 3 (2026): Agustus: Inovasi Kesehatan Global
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/ikg.v3i3.3420

Abstract

Breast cancer is the cancer with the highest incidence and mortality among women worldwide. In Indonesia, delayed diagnosis remains largely associated with low awareness of symptoms and limited access to early screening services at primary healthcare facilities. This study aims to design, develop, and evaluate the functionality of MAMAI-Check v1.8.5, an integrated breast cancer surveillance system based on a Progressive Web App (PWA) that combines self-education, symptom assessment, and risk screening with real-time data reporting for primary healthcare workers. The study employed a Research and Development (R&D) approach through four software engineering stages: requirements and system architecture analysis, user interface and user experience (UI/UX) design, system development, and black-box functionality testing. The application was developed using React 18 and TypeScript, with Tailwind CSS for layout design, and integrated with Firebase Firestore and Google Sheets for real-time data synchronization, supported by a service worker for offline access. The development resulted in eight integrated modules, including a home page, identity form and body mass index (BMI) calculator, breast self-examination (SADARI) and clinical breast examination (SADANIS) education center, interactive symptom checklist, self-administered risk screening questionnaire, automated recommendation and history module, FAQ, and a healthcare worker dashboard for population surveillance monitoring. Black-box testing demonstrated that all modules, input validation, risk assessment algorithms, and data synchronization operated according to the technical specifications and screening criteria established by the Indonesian Ministry of Health. These findings indicate that a lightweight PWA that can be installed without an application store can expand breast health awareness education and structured risk triage to primary healthcare facilities without replacing clinical diagnosis, making it a potential digital complement to early detection programs in resource-limited settings.