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Rancang Bangun Sistem Pemantauan Kesehatan Mental Berbasis Website: Upaya Peningkatan Kesejahteraan Psikologis Melalui Inovasi Teknologi Purnomo, Jouska Brillian Putra; Husna, Aqmal Miftahul; Purwayanto, Evana Anugrah; Sumantri, Raden Bagus Bambang
Jurnal Borneo Informatika dan Teknik Komputer Vol 4, No 2 (2024): Edisi Oktober - Maret
Publisher : Jurusan Teknik Komputer, Fakultas Teknik, Universitas Borneo Tarakan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35334/jbit.v4i2.5712

Abstract

Abstract - This research introduces a web-based mental health monitoring system that aims to improve psychological well-being through innovative technology. This article discusses the stages of system development, including problem identification, solution formulation, and the use of prototype models in software design. Apart from that, this research also discusses data collection methods for research, user needs, system and software design, and user interface implementation. An emphasis on the need for responsiveness, security, and ease of use in the development of websites for mental health monitoring is also highlighted in this article. In this context, the website is designed to provide a Zen space of calm and professional mental health counseling services. Apart from that, this article also discusses the Waterfall model which is generally used in developing information systems, and highlights the difficulties in community access to mental health counseling services. Thus, this research contributes to efforts to increase awareness and access to mental health services through web-based technological innovation.Abstrak - Penelitian ini memperkenalkan sistem pemantauan kesehatan mental berbasis web yang bertujuan untuk meningkatkan kesejahteraan psikologis melalui teknologi inovatif. Artikel ini membahas tahapan pengembangan sistem, termasuk identifikasi masalah, perumusan solusi, dan penggunaan model prototype dalam perancangan perangkat lunak. Selain itu, penelitian ini juga membahas metode pengumpulan data untuk penelitian, kebutuhan pengguna, desain sistem dan perangkat lunak, serta implementasi antarmuka pengguna. Penekanan pada kebutuhan akan responsivitas, keamanan, dan kemudahan penggunaan dalam pengembangan website untuk pemantauan kesehatan mental juga disorot dalam artikel ini. Dalam konteks ini, website tersebut dirancang untuk menyediakan ruang ketenangan Zen dan layanan konseling kesehatan mental profesional. Selain itu, artikel ini juga membahas model Waterfall yang umumnya digunakan dalam pengembangan sistem informasi, serta menyoroti kesulitan akses masyarakat terhadap layanan konseling kesehatan mental. Dengan demikian, penelitian ini memberikan kontribusi dalam upaya meningkatkan kesadaran dan akses terhadap layanan kesehatan mental melalui inovasi teknologi berbasis web.
Design and Construction of a Mobile-Based IoT System for Fall Risk Monitoring in Stroke Rehabilitation Patients Husna, Aqmal Miftahul; Sandi, Arif Setia; Ashari, Imam Ahmad
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1408

Abstract

Stroke rehabilitation patients have a high risk of falling, requiring continuous supervision to ensure safety and support the recovery process. This research aims to design and build a mobile-based Internet of Things (IoT) system to monitor patients' fall risk in real-time. The system utilizes a wearable device integrated with an ESP32-C3 microcontroller, an Inertial Measurement Unit (IMU) MPU-6050 sensor, and a BMP280 pressure sensor to acquire patient movement and altitude data. This data is transmitted via Bluetooth Low Energy (BLE) to a mobile application to be analyzed using a fall detection algorithm. The analysis results are displayed on the application interface as a risk status, activity graphs, and alert notifications if a potential fall is detected. The resulting design demonstrates that this system is effective in assisting caregivers to comprehensively monitor the patient's condition. Through accurate and responsive monitoring, this system is expected to enhance patient safety during rehabilitation and provide useful historical data for medical personnel.