Muhammad Arrofiq
Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada, Indonesia

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Path Planning for Mobile Robots on Dynamic Environmental Obstacles Using PSO Optimization Fahmizal Fahmizal; Innes Danarastri; Muhammad Arrofiq; Hari Maghfiroh; Henry Probo Santoso; Pinto Anugrah; Atinkut Molla
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i1.28513

Abstract

The increasing integration of mobile robots in various industries necessitates efficient navigation strategies amidst dynamic environments. Path planning plays a crucial role in guiding mobile robots from their starting points to target destinations, contributing to automation and enhancing human-robot collaboration. This study focuses on devising a tailored path-planning approach for a fleet of mobile robots to navigate through dynamic obstacles and reach designated trajectories efficiently. Leveraging particle swarm optimization (PSO), our methodology optimizes the path while considering real-time environmental changes. We present a simulation-based implementation of the algorithm, where each robot maintains position, velocity, cost, and personal best information to converge towards the global optimal solution. Different obstacles consist of circles, squares, rectangles, and triangles with various colors and five handle-points used. Our findings demonstrate that PSO achieves a global best cost of 5.1017, indicative of the most efficient path, minimizing overall distance traveled.
Preventing Needle Stick Injuries (NSI) Among Medical Waste Handlers: A Systematic Review Based on the Hierarchy of Hazard Controls Rifdafadlillah Rifdafadlillah; Muhammad Arrofiq
Jurnal KESANS : Kesehatan dan Sains Vol 5 No 12 (2026): KESANS: International Journal of Health and Science
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/kesans.v5i12.726

Abstract

Introduction: Needle Stick Injuries (NSI) is representing a significant safety hazard in hospitals, affecting frontline healthcare workers and medical waste handlers. Improper disposal of used medical needles into infectious waste bins instead of designated safety boxes became the primary cause of these incidents. Objective: This study is aiming to evaluate medical waste management interventions to prevent NSI using the Hierarchy of Hazard Controls. Method: A systematic literature review conducted following PRISMA 2020 guidelines. Articles published between 2019 and 2026 were searched in PubMed, ScienceDirect, and Google Scholar, utilizing PICO to select relevant studies. Result and Discussion: Healthcare facilities primarily rely on administrative controls, such as Standard Operating Procedures (SOPs), and Personal Protective Equipment (PPE). However, these approaches frequently fail due to human errors and non-compliance worker. Current engineering interventions, including Internet of Thing (IoT) smart bins and RFID sorting, tend to be too complex and lack direct physical barriers to prevent Improper needle disposal. Conclusion: Current reliance on PPE and administrative protocols is not enough to protect waste handlers from NSI risk. Hospitals need to prioritizing practical engineering controls, such as direct physical barriers integrated with waste bins, to prevent NSI at the source.