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All Journal JOIV : International Journal on Informatics Visualization PROGRES PENDIDIKAN
Prasetio, Katon
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Computer Science & IT Education Mathematics Physics Social Sciences Other

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A Low-Cost Nursing Robot with Telemedicine using ESP32 and Robot Operating System-based Suharjono, Amin; Apriantoro, Roni; Supriyo, Bambang; Wardihani, Eni Dwi; Yunanto, Bagus; Hidayat, Wahyu; Prasetio, Katon; Reynaldi, Rindang; Fahrul Aji, Achmad
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.2793

Abstract

The COVID-19 pandemic has presented unprecedented challenges to the healthcare sector, particularly frontline healthcare workers. These professionals face high infection risks and physical and mental exhaustion due to intensified workloads and staffing shortages. Robots are seen as a potential solution to this predicament, performing tasks such as delivering supplies and monitoring patients. However, widespread adoption of such robots, particularly in resource-constrained settings, has been hampered by the exorbitant costs associated with their acquisition and maintenance. To address this problem, the authors developed a low-cost nursing robot based on the ESP32 and the Robot Operating System (ROS). This robot facilitates hospital logistics and patient monitoring through telemedicine. The robot is controlled by remote control or Wi-Fi connection through the RViz Graphical User Interface (GUI) and uses odometry and PID control methods to follow specified paths autonomously. Accessible via local area networks and the Internet, the telemedicine system demonstrates robust performance with minimal X and Y axis control errors, zero packet loss, an average Round Trip Delay (RTD) of less than 150 ms, and jitter values of less than 20 ms, in line with TIPHON standards. This innovation provides a cost-effective solution to support healthcare workers during the ongoing health crisis. In future development, incorporating LiDAR, computer vision, and AI-based decision-making into the robot can facilitate obstacle detection and real-time decision-making to enable fully autonomous movement. These advancements will enhance the robot’s adaptability and accuracy in navigation and positioning.
PENERAPAN MODEL PEMBELAJARAN CONTEXTUAL TEACHING AND LEARNING PADA MATA PELAJARAN SENI RUPA DAN P5 DI SDN 16 MATARAM Halisah, Fabia; Huriah, Huzaematul; Mubarokah, Hani Tazkiyah; Fajri, Lathifa Julia; Prasetio, Katon; Rahmadhoan, Lulu
PROGRES PENDIDIKAN Vol. 6 No. 3 (2025): September 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/prospek.v6i3.1377

Abstract

Penelitian ini bertujuan untuk mendeskripsikan penerapan model pembelajaran Contextual Teaching and Learning (CTL) di SDN 16 Mataram, khususnya pada mata pelajaran Seni Rupa dan Projek Penguatan Profil Pelajar Pancasila (P5). Model CTL menghubungkan materi pelajaran dengan kehidupan nyata siswa dan mendorong keterlibatan aktif dalam proses pembelajaran. Penelitian ini menggunakan pendekatan kualitatif dengan metode observasi, wawancara guru, dan analisis dokumen pembelajaran. Hasil penelitian menunjukkan bahwa penerapan CTL mampu meningkatkan pemahaman siswa terhadap materi, mendorong kreativitas, serta menumbuhkan sikap kemandirian, tanggung jawab, dan kerja sama. Kegiatan pembelajaran seperti membuat rumah dari stik es krim dan membuat telur asin menjadi contoh konkret penerapan CTL di kelas. Meskipun efektif, penerapan model ini juga menghadapi tantangan, seperti kebutuhan akan persiapan yang matang dan ketersediaan sumber daya. Oleh karena itu, dukungan dari sekolah dan orang tua sangat diperlukan untuk mengoptimalkan pelaksanaannya. Secara keseluruhan, CTL merupakan model pembelajaran yang relevan dan efektif untuk diterapkan di jenjang sekolah dasar.
Co-Authors Amin Suharjono Apriantoro, Roni Bagus Yunanto Bambang Supriyo, Bambang Eni Dwi Wardihani, Eni Dwi Fahrul Aji, Achmad Fajri, Lathifa Julia Halisah, Fabia Huriah, Huzaematul Mubarokah, Hani Tazkiyah Rahmadhoan, Lulu Reynaldi, Rindang Wahyu Hidayat