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All Journal JOIV : International Journal on Informatics Visualization J-Dinamika: Jurnal Pengabdian Kepada Masyarakat AMMA : Jurnal Pengabdian Masyarakat
Fahrul Aji, Achmad
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Humanities Chemistry Computer Science & IT Education Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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Application of Smart Bell Wifi to Improve Study Time Discipline at SD Islam Fitra Bhakti Pudak Payung, Banyumanik, Semarang Kusumastuti, Sri; Fahrul Aji, Achmad; Rizal, Aminuddin; Artha Rochmanto, Raditya; Suryono, Suryono; Setya Kartika, Vinda
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 8 No 3 (2023): Desember
Publisher : Politeknik Negeri Jember

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Abstract

Bell sekolah merupakan perangkat untuk mengatur ketertiban waktu belajar di sekolah. Suara bell memberikan informasi kepada pengajar maupun siswa tentang pembagian waktu belajar yang telah ditetapkan.  Pengaturan waktu belajar di SD Islam Fitra Bhakti menggunakan bell manual.   Penggunaan bell manual menjumpai beberapa permasalahan diantaranya faktor kelalaian yaitu bell terlambat dibunyikan sehingga waktu belajar tidak tepat waktu. Selain itu, suara bell kurang informatif karena tidak ada keterangan maksud bell dibunyikan dan kurang nyaman didengar. Tim pengabdian kepada masyarakat memberikan solusi melalui penerapan smart bell wifi dengan tujuan  meningkatkan disiplin waktu belajar, memberi rasa nyaman warga sekolah dan meringankan pekerjaan penjaga sekolah. Kegiatan pengabdian masyarakat meliputi pelatihan cara instalasi Smart Bell Wifi dan penggunaan Smart Bell Wifi. Hasil kegiatan ini  adalah(1)menggantikan bell manual sekolah menjadi bell otomatis, (2) peserta mampu menggunakan  Smart Bell Wifi  untuk pengaturan waktu dan kegiatan belajar.
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 Sistem Kontrol Berbasis IoT Pada Pompa Air Pertanian Di Desa Batur Kusumastuti, Sri; Hadwi Widi Sasono, Sindung; Artha Rochmanto, Raditya; Setya Kartika, Vinda; Fahrul Aji, Achmad
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 5 : Juni (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Batur Village, Batur Sub-district, Banjarnegara District, faces challenges in managing water for agricultural purposes. The current manual irrigation system is time- and labor-intensive and increases the risk of pump damage. To overcome this, an Internet of Things (IoT)-based pump control system is implemented to improve efficiency and productivity. The system automatically activates the water suction pump based on the water level in the reservoir and sets the irrigation schedule. The implementation process includes site survey, system design, installation, training, and evaluation. The system allows farmers to monitor and control irrigation through a smartphone-based application. The implementation results show that the system can reduce manual work, minimize the risk of pump damage, and ensure optimal water availability. In addition, this technology supports more efficient water management, increases agricultural yields, and provides a positive economic impact for farmers.
Co-Authors Amin Suharjono Aminuddin Rizal, Aminuddin Apriantoro, Roni Artha Rochmanto, Raditya Bagus Yunanto Bambang Supriyo, Bambang Eni Dwi Wardihani, Eni Dwi Hadwi Widi Sasono, Sindung Prasetio, Katon Reynaldi, Rindang Setya Kartika, Vinda Sri Kusumastuti, Sri Suryono Suryono Wahyu Hidayat