Article Per Year (5 Year)
p-Index From 2021 - 2026
1.431
P-Index
This Author published in this journals
All Journal International Journal of Public Health Science (IJPHS) VISIKES Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian UNDIKMA J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Jurnal KALANDRA
Maulana Tomy Abiyasa
Alumni Fakultas Kesehatan Univeritas Dian Nuswantoro
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : VISIKES

 1 
AR-MUSCLE Mobile Augmented Reality Innovation for Interactive Learning of Musculoskeletal Anatomy and Physiology in Health Science Students Abiyasa, Maulana Tomy; Syah, Riska Muzakki; Ernawati, Dyah; Utami, Rinta Martha; Mustaqim, Nurudin Wafiq; Ardiansyah, Muhammad Fauzi
VISIKES Vol. 24 No. 2 (2025): VISIKES
Publisher : Dian Nuswantoro Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60074/visikes.v24i2.14850

Abstract

The implementation of clinical coding for musculoskeletal disorders requires comprehensive knowledge of human anatomy and physiology. The advancement of Augmented Reality (AR) technology provides an effective approach to addressing students’ learning difficulties in health sciences, particularly in understanding the musculoskeletal system. This study aims to develop a mobile-based Augmented Reality application called AR-MUSCLE, designed as an interactive learning medium for health science students. The research background stems from the difficulty students face in mastering complex anatomical and physiological concepts through conventional learning media limited to 2D illustrations and static models. The research employed a Research and Development (R&D) design using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The application integrates interactive 3D visualization of the human musculoskeletal system, structured learning modules, and evaluation quizzes. The development process involved needs analysis, system design using the Unified Modeling Language (UML), 3D model creation, AR system integration via Unity Engine, and prototype evaluation. Functional testing (Black Box Testing), usability testing, and user satisfaction assessments were conducted to ensure reliability and effectiveness. The results showed that all application features functioned properly and responsively as designed. The usability testing yielded a very low error rate (<5%), indicating that users could easily navigate and operate the application. The user satisfaction survey demonstrated very high ratings, averaging above 95% across four dimensions: learnability, responsibility, satisfaction, and accuracy. Nevertheless, improvements are required in the system responsibility aspect since the mobile-based application depends heavily on stable internet connectivity and adequate device specifications to support the interactive 3D rendering process. In conclusion, AR-MUSCLE proves to be an effective Augmented Reality-based interactive learning tool that enhances students’ conceptual understanding, motivation, and engagement in learning musculoskeletal anatomy and physiology. This research contributes to strengthening digital learning innovation in health education and supports the transformation toward technology-integrated teaching and learning models.
Patterns of Fracture - Causing Traffic Injuries and Accuracy of ICD-10 External Cause Coding: A Case Study at a Type B Hospital in Semarang Ernawati, Dyah; Putri, Novenda Kusuma; Abiyasa, Maulana Tomy
VISIKES Vol. 25 No. 1 (2026): VISIKES
Publisher : Dian Nuswantoro Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60074/visikes.v25i1.15956

Abstract

Traffic accidents, particularly motorcycle crashes, constitute a leading cause of musculoskeletal fractures in urban Indonesia, yet inaccurate ICD-10 external cause coding undermines epidemiological surveillance and injury prevention efforts. This study aimed to analyze patterns of accident causes leading to fractures and evaluate the accuracy of external cause coding in medical records at a Type B hospital in Semarang. A quantitative descriptive study was conducted using retrospective observation of 88 inpatient medical record documents for fracture cases in 2022, sampled via the Slovin formula from a population of 757 cases. Data on accident patterns (type, location, activity) and coding accuracy were extracted per ICD-10 guidelines (V01-Y98), with conformity assessed descriptively based on completeness to the fifth character and alignment with clinical chronology. Motorcycle accidents dominated (58.8%), primarily traffic-related driver injuries (72.0%), followed by falls (31.8%); non-traffic incidents frequently occurred at home (74.3%). Fracture coding accuracy reached 69.3%, but external cause coding was critically low at 19.3%, with major discrepancies in accident type (56.3%), location (33.8%), and activity (9.9%). These findings highlight systemic coding deficiencies that distort injury epidemiology data. Enhanced coder training, standardized chronology documentation, and hospital policies for external cause coding are recommended to improve data quality for public health interventions.
Co-Authors .Suyoko, Suyoko Agiwahyuanto , Faik Agiwahyuanto, Faik Anggraini, Reny Diva Anjani, Sylvia Ardiansyah, Muhammad Fauzi Dyah Ernawati Fahmi, Fatimatul Fauziyyah , Michel Najwa Fitria Wulandari Ika Pantiawati Jaka Prasetya Mustaqim, Nurudin Wafiq Nuraeni, Puspa Ayu Prasetya , Jaka Putri, Novenda Kusuma Suyoko Suyoko Suyoko Syah, Riska Muzakki Utami, Rinta Martha