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Implementasi Sistem Antrian Pasien Berbasis Website Pada Klinik Sehat Tamba Kelurahan Cilangkap Poerwandono, Edhy; Anwar, Anggit Saepul; Mutia, Selvi; Damayanti, Yulia
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 5 No. 2 (2024): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v5i2.677

Abstract

Clinics are health facilities that provide basic medical services, diagnosis, treatment, and care to patients with minor or non-emergency medical conditions. The development of information technology has triggered the need for information systems in the medical field to improve health services. One important factor in increasing patient satisfaction is minimizing waiting time. Long queues can reduce clinic efficiency and affect patient satisfaction. This study aims to implement a website-based patient queue system at the Tamba Sehat Clinic, with the hope of increasing service efficiency and patient satisfaction. In implementing the website queuing system, researchers used qualitative methods to understand the effectiveness of health services and patient experiences. Data was collected through interviews, observations, and literature studies. The implementation of the Website-Based Patient Queuing System at the Tamba Sehat Clinic has had a significant impact. People can now easily get a queue number online via mobile phone or computer, eliminating the need to queue directly at the clinic location. Tamba Sehat Clinic, which was established in January 2023, has seen increased efficiency with this system. Patients can quickly and efficiently get a queue number, ensuring that their time is spent productively. Additionally, adopting this technology helps clinics improve the quality of service to prospective patients, creating a more comfortable and efficient experience for those in need of healthcare services. Thus, the implementation of a website-based patient queue system has brought real benefits to the community and clinics.
Penerapan ChatGPT untuk Rekomendasi Resep Makanan Sehat dan Bergizi pada Anak-Anak: ChatGPT Application for Healthy and Nutritious Food Recipe Recommendations for Children Anwar, Anggit Saepul; Poerwandhono, Edhi
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 3 (2025): MALCOM July 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i3.1601

Abstract

Stunting masih menjadi masalah serius dengan prevalensi tinggi di Indonesia (21,6% pada tahun 2022). Salah satu hambatan utama adalah kurangnya akses mudah dan personalisasi informasi gizi serta resep makanan yang tepat bagi orang tua untuk meningkatkan asupan protein hewani pada anak. Untuk mengatasi masalah ini, aplikasi Menu Resep Makanan (REBU) dikembangkan sebagai platform penyedia resep sehat dan bergizi yang mudah diakses oleh orang tua dan pengasuh, spesifik untuk memenuhi kebutuhan nutrisi anak dan meningkatkan konsumsi protein hewani. Mengintegrasikan teknologi modern, termasuk ChatGPT, REBU menawarkan rekomendasi resep personal, menjadikan panduan gizi lebih mudah diakses. Implementasi REBU di RT 10 dan RT 11 Puskesmas menunjukkan peningkatan signifikan kesadaran orang tua tentang gizi seimbang dan protein hewani. Efektivitas aplikasi dievaluasi melalui uji Blackbox (integritas fungsional) dan User Acceptance Testing (UAT) (kegunaan praktis). Evaluasi ini memastikan solusi praktis REBU berhasil membantu menurunkan angka stunting di komunitas percontohan, menjadi model potensial untuk implementasi lebih luas guna mendukung program pemerintah