Showing 22 results for Nur
Wahyu Kurniawan, Achmad Pratama Rifai , Nur Aini Masruroh,
Volume 0, Issue 0 (IN PRESS 2025)
Abstract
Adaptive Simulated Annealing (ASA) and Adaptive Large Neighborhood Search (ALNS) are two metaheuristic algorithms widely applied to solve discrete optimization problems. This study employs both algorithms to address the Container Loading Problem (CLP), a critical challenge in the consolidation-based freight forwarding industry, where maximizing container utilization directly influences revenue and operational efficiency. The case company, a national freight forwarding enterprise operating consolidation services in Indonesia, currently achieves an average container utilization rate of 56.8%, indicating a substantial opportunity for improvement. By formulating the CLP as a discrete combinatorial optimization model, this research aims to enhance both container load utilization and revenue through algorithmic optimization. The novelty of this work lies in its comparative implementation of ASA and ALNS under adaptive parameter calibration, applied to a real-world freight forwarding context, which remains rarely explored in previous CLP studies. Experimental results show that ALNS consistently outperforms ASA in terms of both objective value and robustness across scenarios. Specifically, the ALNS method achieves 85.4% container utilization and an average revenue increase of 8.6% per container, demonstrating superior efficiency in freight consolidation optimization. Additionally, experiments conducted under equal iteration conditions further support that ALNS maintains higher stability and better solution consistency compared to ASA, particularly in terms of fitness and utilization efficiency across different iteration scenarios. Despite ALNS requiring longer computation time, it remains well within the acceptable time frame for freight forwarding operations, where up to 24 hours is available for shipment planning. These findings provide practical implications for logistics firms seeking to integrate metaheuristic-based decision support systems to improve capacity utilization, responsiveness, and profitability.
Huki Chandra, Ilma Mufidah, Moch. Wibisono, Dhimas Nur, Raya Fahreza,
Volume 0, Issue 0 (IN PRESS 2025)
Abstract
Constructions have considerable revenue and stakeholder accountability implications. It is the aim of this research to identify and assess risks so as to apply the appropriate controls for an Indonesian construction project. Observation, interviewing, and staff meetings were employed in this research. Risk analysis was conducted by a safety practitioner and validated with 12 construction workers. Methods like Fuzzy Logic (FMEA and AHP), PLS-SEM, Kruskal-Wallis, and cluster analysis were used to provide precise scoring and classification. Fuzzy Logic accommodated the uncertainty of risks, and Fuzzy-AHP ranked the risks with criteria of injury, asset loss, reputation, and environment. It defines two medium-risk and four high-risk activities, with the highest risk being Activity 2 (wall painting) due to being at height. Job Safety Analysis provides particular mitigation in detail. The RPN score for wall painting was 526, with a Mean Squared Error of 507 and an overall coefficient of variation of 6%, showing high consensus. This integrated methodology reduces bias, maintains uncertainty, and provides tailored safety recommendations, a new approach not implemented in past research.
Sudheer Babu Punuri,
Volume 31, Issue 3 (IJIEPR 2020)
Abstract
With the ever-increasing request for speed and the increasing number of Cyber Attacks are having fast and accurate skill to provide verification that is convenient, rapid and exact. Even though possible that it is very difficult to fool Image Recognition Skill in this makes it helpful in serving preclude fraud. In this paper, we propose a model for pixel wise operations, which is needed for identification of a location point. The computer vision is not limited to pixel wise operations. It can be complex and far more complex than image processing. Initially, we take the unstructured Image Segmentation with the help of K-Means Clustering Algorithm is used. Once complete the preprocessing step then extracts the segmented image from the surveillance cameras to identify the expressions and vehicle images. In the raw image from the surveillance camera is the image of a person and vehicle is to classify with the help DWT. Further, the images of the appearances stood also taken with phenomenon called Smart Selfie Click (SSC). These two features are extracted in-order to identify whether the vehicle should be permitted into the campus or not. Thus, verification is possible. These two images are nothing but reliable object extracted for location identification.
Nuryakin Nuryakin, Girindra P Devi, Ika Nurul Qamari,
Volume 32, Issue 4 (IJIEPR 2021)
Abstract
The aims of this research is to analyze effect to perceived organization support, symbolic incentives meaning, and knowledge sharing quality on innovative work behavior at e-commerce in Indonesia. The number of samples in this research that was examined were 160 samples of business owner or manager who seller their product in e-commerce, originating from the provinces of Special Region Yogyakarta, Central Java, East Java, and West Nusa Tenggara, Indonesia. We use purposive sampling technique for the data collection method. The result of this research indicate that perceived organization support has a significant positive effect on symbolic incentives meaning. Perceived organization support has a significant positive effect on knowledge sharing quality. Perceived organization support has a insignificant positive effect on innovative work behavior. Symbolic incentives meaning has a insignificant positive effect on innovative work behavior. Knowledge sharing quality has a insignificant positive effect on innovative work behavior.
Ahmed Saeed Awadh Ali Alrashdi1, Nurul Zarirah Binti Nizam,
Volume 33, Issue 3 (IJIEPR 2022)
Abstract
The main objective of this study is to determine factors influencing the adoption and impact of online social networks use in terms of performance among students within public universities in Abu Dhabi. Although various limitations exist, the findings have been encouraging, as it has managed to shed some lights on new variables affecting the use of online social networks. This study proposed an extended model of the Unified Theory of Acceptance & use of Technology (UTAUT) and found that five variables play an important role to determine the performance impact of online social networks namely performance expectancy, effort expectancy, social influence, facilitating conditions, and actual usage, in addition to the significant moderation role that service quality plays in the model which was significant on two relationships and insignificant in the remaining two. The findings of this study can provide policymakers with important insights on how to more successfully incorporate online social networks to improve students’ performance and public university services, and how to encourage the management to ensure that students are more likely to utilize new technologies and thereby enabling better learning outcome, wider reach of services, gives students more control over their daily tasks and enhances their performance.
Hainnuraqma Rahim, Hamidah Irpan, Mohamed Saladin Abdul Rasool,
Volume 33, Issue 3 (IJIEPR 2022)
Abstract
Being sharia compliant is a very important matter for Muslims especially the Millennial generation particularly in obtaining halal foods. In the context product and service selection and purchase, the Millennial generation is considered to have high capability in the aspect of accessing rapid information through the social media. In effect, the Millennial Muslims behavior is enviasaged to enhance the consumption of halal products and services in Malaysia due to their purchasing power. Thus, the main aim of the present study is to examine the purchasing behaviour of Millennial Muslims towards halals products. A dataset comprising of 403 respondents were employed using Structural Equation Modeling-Partial Least Square (SEM-PLS). This cross-section study identified specific factors such as social media influencers, understanding of halal concept and perception of halal logo. Specifically, attitude plays the role of mediator in this study. Thus, this study suggests that the purchase of halal food is influenced by these factors. Hence, producers should strategize their marketing communication efforts on various social networking sites to strengthen consumers awareness on the values of halal products.
Nurul Atikah Mohd Asri , Farah Akmar Anor Salim ,
Volume 33, Issue 3 (IJIEPR 2022)
Abstract
Previous studies have reported that trust is the main issue that needs to be resolving. (McKnight & Chervany, 2001). Trust proficiently leads people or organizations to acquire maximized benefits and potentially gives an organization a competitive advantage in markets, communities, and hierarchies (Robbins (2016), Semuel & Chandra (2014). The extent of this study revolves around develop consumer trust in the quality of cosmetic product scope. Researchers have shown an increased interest in the cosmetics field as the average annual growth in the last twenty years is 4.5% and the rate of growth presume to continue over 3%. The objectives of this research are to (1) understand factor involves in the process of build consumers’ confidence and trust virtually in offline and online business, (2) to determine the prominent information need to be an underline in marketing strategy, and (3) to understand how trust can affect consumer preference on cosmetics product. This study underlined cosmetic price, cosmetic brand name, and cosmetic country of origin are the prominent information that needs to underline in marketing strategy. Important issues were addressed and recommendations were made for prospect research.
Haniza Hashim, Nur Baiti Shafee, Siti Nurul Huda Mohd, Shadia Suhaimi,
Volume 33, Issue 4 (IJIEPR 2022)
Abstract
Healthy food can be perceived by looking at the label and packaging of the healthy food. Nutrition Claims and Nutrition Information printed as a labels and packaging of the healthy food. Nutrition Claims such as "Cholesterol Free" normally presented at the front of the healthy foods' package while nutrition information presented in a table with detailed information and printed at the back of the healthy foods' package. Previous researchers indicated that nutrition claims tends to be well received by consumers (Grunert, Wills & Fernandez-Celemin, 2010) compared to nutrition information. It seems that nutrition information seldom be useful to the customers. This is because nutrition information difficult to understand. However, nutrition information shows more detailed information regarding the product. Both nutrition claim and nutrition information printed as a label of the healthy foods' packaging. Besides that, colour of the packaging also plays an important role of the consumer perceptions towards healthy product. Label and packaging plays an important role for consumers’ perception. Nutrition information and nutrition claim that are appeared at the label and the colour of the packaging can model the consumers' perception on healthy food. This study will investigate the importance of nutrition information, nutrition claim and colour of the label and packaging towards consumers' perception on healthy foods. Data and survey will be conducted at Melaka. This study will use quantitative method and will conclude the independent variables that has significant influence towards consumers perception.
Nur Afni Kutanga, Annisa Kesy Garside, Dana Marsetiya Utama,
Volume 34, Issue 1 (IJIEPR 2023)
Abstract
Palm oil is a commodity whose demand continues to increase, requiring proper risk management in the supply chain. This study aims to develop a hybrid method that integrates probability impact matrix, analytical network process, and house of risk to mitigate strategies in the palm oil supply chain. The Probability Impact Matrix (PIM) method is used to map the priority risk agents and determine the occurrence value of the risk agents, and Analytical Network Process (ANP) is used to determine the severity value of the risk event. Furthermore, the House of Risk (HOR) is proposed to determine the priority of the mitigation strategy. The proposed method was applied in a case study on the palm oil supply chain in Indonesia. The research results show that ten priority risk agents and 6 mitigation strategies were obtained based on the proposed method to overcome risk agents in palm oil supply chain
Mohd Hafizul Ismail, Nurashikin Saaludin, Basyirah Che Mat, Siti Nur Dina Haji Mohd Ali,
Volume 34, Issue 1 (IJIEPR 2023)
Abstract
The COVID-19 pandemic forced Malaysian Higher Education Institutions to pursue online and distance learning. This study aimed to gain insight into the pre-university students’ acceptance and intention to use the Microsoft Teams (MS Teams) application for online learning platforms during the pandemic. This group of students was chosen because they had just finished high school and their transition from the school system to the university system with online learning will pose many difficulties. The theoretical framework for this study was developed using the Technology Acceptance Model (TAM) with additional facilitating conditions and computer self-efficacy as the external elements. The participants were 180 pre-university students from Universiti Kuala Lumpur Malaysian Institute of Information Technology who had experience using MS Teams during their first semester. With SPSS, the predictive factors on the acceptance of students toward online learning have been explained. The findings also indicate that the proposed TAM-based scale successfully explained the factors predicting intention to use MS Teams during the pandemic. The findings assist researchers and practitioners in developing a more comprehensive view of pre-university students’ acceptance and intention to use MS Teams. Finally, several recommendations have been made, including the implications and limitations of the study at the end of this paper to reference future research.
Nurhayati Kamarudin, Mohammed Hariri Bakri, Nurul Zarirah Nizam, Amizatulhawa Mat Sani, Afif Zuhri Muhammad Khodri Harahap,
Volume 34, Issue 2 (IJIEPR 2023)
Abstract
Leadership is an important factor in the social relationships of line in the workplace. Consider as the main factor that affects and forms group behavior in every organization known since the time of ancient. Practically, it involves employees who appreciate the feeling of a strong commitment to accomplishing organizational goals and long-term objectives inside the company. The objective of this study was to determine the influence of micromanagement leadership style on employee perception on job satisfaction in the manufacturing industry at Malacca. Thus, leadership styles can fortunately, influence or greatly affect job satisfaction in workplace performance. Micromanagement leadership style has comparatively more negative effects on an employee’s behavior and commitment towards the effort in the workplace. This creates a sense of perceived stress managing to behave in an ineffective approach. A descriptive study was used to understand employee perceptions of micromanage leadership styles that affect job satisfaction. A total of 97 respondents among manager level from the Malacca state of Malaysia’s manufacturing industry was collected with the level of manager’s range 27 to 55 years of age. Situational leadership theory conducted this study to discover how a micromanaged leadership style influences employee perception that impacts an employee’s job satisfaction. The primary research question focused on positive and negative employee perceptions related to managers’ leadership behaviors and attributes. The study found that employee perception by micromanaging leadership style affects an employee’s job satisfaction with the correlation coefficient between overall job satisfaction and main factors for job satisfaction recognition at work and personal growth were (0.79) and (0.85) respectively. There were statistically significant differences in age group, working experience and position (P<0.05). The result showed Cronbach alpha 0.708 internal consistency acceptable affect the variables. Micromanagement had reduced productivity, lower morality, loss of trust, less teamwork involvement, less personal growth and reduced innovation. Therefore, consideration of an employee's knowledge, skills, experience, attitude, and motivation is essential for job satisfaction to enhance high productivity and efficiency.
Emad Bashehab, Dr. Nur Azam Bin Anuarul Perai,
Volume 34, Issue 3 (IJIEPR 2023)
Abstract
Not much attention is given to the financial performance of non-oil firms in oil producing economies as the focus would be on firms operating in the country’s major industry. However, fluctuating oil prices have made their importance to the economy more evident as oil producers start to diversify and move away from reliance on oil as a major source of revenue. Fluctuating oil prices cause enormous pressure on oil corporations’ bottom line, the expansion of non-oil enterprises has. The non-oil sector's profitability strategy is a major challenge for non-oil enterprises looking to contribute to the economy. The study's objective in the context of non-oil firm profitability is to analyse research conducted over the previous two decades to understand the future orientation of non-oil firms in oil-producing nations. We utilised the PRISMA statement 2020 and gathered records from Web of Science and Scopus. The final 46 articles were included for the review, and VOS viewer software was used to categorise the results. This is a comprehensive review exploring profitability of non-oil firms from the contexts of firm size, market share, governance structure and capital management. The paper concludes with suggestions for further research on firm profitability in relation to the economy in which it operates. The study identified three significant streams: firm size, capital management and profitability. However, results indicate that there would be a positive link between business size and profitability. In addition, capital management is a critical component in maximising firm profitability, and the board of directors is a crucial determinant identified in the research. Finally, results show that the elements determining profitability remain a significant issue for academics.
Not much attention is given to the financial performance of non-oil firms in oil producing economies as the focus would be on firms operating in the country’s major industry. However, fluctuating oil prices have made their importance to the economy more evident as oil producers start to diversify and move away from reliance on oil as a major source of revenue. Fluctuating oil prices cause enormous pressure on oil corporations’ bottom line, the expansion of non-oil enterprises has. The non-oil sector's profitability strategy is a major challenge for non-oil enterprises looking to contribute to the economy. The study's objective in the context of non-oil firm profitability is to analyse research conducted over the previous two decades to understand the future orientation of non-oil firms in oil-producing nations. We utilised the PRISMA statement 2020 and gathered records from Web of Science and Scopus. The final 46 articles were included for the review, and VOS viewer software was used to categorise the results. This is a comprehensive review exploring profitability of non-oil firms from the contexts of firm size, market share, governance structure and capital management. The paper concludes with suggestions for further research on firm profitability in relation to the economy in which it operates. The study identified three significant streams: firm size, capital management and profitability. However, results indicate that there would be a positive link between business size and profitability. In addition, capital management is a critical component in maximising firm profitability, and the board of directors is a crucial determinant identified in the research. Finally, results show that the elements determining profitability remain a significant issue for academics.
Nur Iftitah, Qurtubi Qurtubi, Muchamad Sugarindra,
Volume 34, Issue 4 (IJIEPR 2023)
Abstract
This research aims to determine the scope and pattern of research and understand trends in class-based storage research, to deliver the latest research on the topic of class-based storage for future studies. This study is based on data derived from several journal publications, limited only to publication years of 2012 to 2023. Harzing's Publish or Perish and VOSviewer software were used in data collection. Therefore, 980 articles were obtained based on keywords and processed by using bibliometric analysis. From the results of bibliometric research on the topic of class-based storage, identification of trends and patterns on research growth is obtained, analyzing renewal, obsolescence, and distribution of references, estimating productivity, author, year of publication, most-contributed publishers, and collaboration among authors who discussing interrelated topics. This research shows that in bibliometric studies in class-based storage literature, by involving analysis through keywords contained in titles and abstracts, as well as various analyses of years of publication, most publications are able to deepen and expand the literature in the previous class-based storage-related research. So that the findings in terms of assessment techniques and relationships can be used as information for future researchers in such fields of study. Research on bibliometrics is the main reference, especially in the arrangement of facility layout and warehouse management. The originality provided by this study lies in the presentation of differences and similarities between current researchers and previous researchers and the processing of publication databases based on class-based storage journals. So that all published information on the topic of class-based storage in the last 10 years (2012-2023) could become a basis and reference for further research.
Che Hafizan Che Hassan, Zainura Zainon Noor, Azmi Aris, Norelyza Hussein, Nur Syamimi Zaidi, Nor Zaiha Arman, Muhammad Azmi,
Volume 35, Issue 1 (IJIEPR 2024)
Abstract
Life cycle assessment (LCA) is a valuable tool not only for analyzing the environmental impact of a product but also for assisting in early-stage product development before incurring scaling-up costs. When validating a new process or project, it may be constrained to align with existing regulations or standards. Therefore, combining LCA with other applicable standards is essential to demonstrate the project's feasibility. In this regard, the water quality index (WQI) and Water Exploitation Index (WEI) provide additional information that reflects the overall water quality at a specific location and time. The objective of this study is to utilize the LCA framework in conjunction with the Malaysia WQI and WEI to protect the water quantity and water quality of the river. A negative change in the WQI score indicates that the current effluent from the process is degrading the river's classification, rendering it undesirable and necessitating a reduction in concentration. The findings demonstrate that the method for determining effluent requirements for a water treatment system is straightforward and replicable. Such an approach could be employed, for example, in an environmental impact analysis of a project to verify its viability.
Nur Islahudin, Dony Satriyo Nugroho, Zaenal Arifin, Helmy Rahadian, Herwin Suprijono,
Volume 35, Issue 4 (IJIEPR 2024)
Abstract
The Internet of Things (IoT) emerged as a pivotal catalyst in shaping the landscape of Industrial Revolution 4.0. Its integration within the manufacturing sector holds transformative potential for enhancing productivity on the production shop floor. Real-time monitoring of production processes becomes feasible through the implementation of IoT. Allows companies to promptly assess whether production outcomes align with predetermined plans, facilitating agile adjustments for swift improvements. In the face of volatile consumer demand, the company can efficiently strategize planned production approaches in response to significant shifts in consumer needs. This study endeavours to design a robust real-time production monitoring system employing the Internet of Things paradigm. The system's architecture emphasizes embedding sensors within the production floor processes to discern product types. Subsequently, a web platform enables seamless dissemination of production data to all relevant components. By leveraging real-time monitoring capabilities through IoT, the company gains the agility to swiftly decide and adapt production strategies, especially amid dynamic shifts in consumer demand.
Dwi Kurniawan, Aghnia Nazhiifah Ulhaq, Aditya Fadhilah Althofian, Rubby Nur Rachman,
Volume 35, Issue 4 (IJIEPR 2024)
Abstract
In industrial and commercial settings, inventory systems often involve managing multiple products with diverse demand patterns, making the direct application of the single-item newsvendor model inefficient. To address this complexity, this study proposes an adaptation of the newsvendor model through demand aggregation, where related items are grouped into a product family. By aggregating demand and financial parameters, the traditional newsvendor approach can be extended to multi-item systems, simplifying the inventory management process. This method was tested in two different case studies—a coffee roaster company and a meatball producer—demonstrating its validity and applicability. The aggregated newsvendor model was found to enhance inventory accuracy and efficiency, reducing random error and improving operational performance. This approach offers a valuable extension of the newsvendor model, with potential for broader application across various industries.
Nor Hasrul Akhmal Ngadiman, Nur Syahirah Mustafa, Izman Sudin, Denni Kurniawan,
Volume 36, Issue 1 (IJIEPR 2025)
Abstract
Bone tissue scaffolds that closely mimic the mechanical and biological properties of natural bone is critical for enhancing the outcomes in treatment of bone tissue damages. This study introduces an optimisation approach to designing bone tissue engineering scaffolds using Triply Periodic Minimal Surface (TPMS) structures, evaluated through a Full Factorial Design methodology. Finite Element Analysis was applied to simulate the TPMS scaffolds under mechanical loading. The influence of key factors of strut thickness, unit cell configuration, and TPMS type, on the scaffold’s mechanical performance, specifically targeting Young's modulus was evaluated. By employing Full Factorial Design, this study generates empirical models of Young’s modulus as a function of those key factors. Primitive and Gyroid TPMS structures emerged as optimal, achieving Young's modulus values of 4912.3 MPa and 4666.7 MPa, respectively, with configurations of 0.01 mm strut thickness in a 3-unit cell construct. These results demonstrate that optimised TPMS scaffolds can meet the mechanical demands of bone tissue while providing adequate porosity for cell proliferation and nutrient transport, essential for effective bone regeneration.
Dino Caesaron, Farell Ardani, Vidhea Nurhadi, Yusuf Yekti,
Volume 36, Issue 2 (IJIEPR 2025)
Abstract
A typical definition of New Product Development is a series of actions that begins with the identification of a market opportunity and concludes with the creation, marketing, and delivery of a product. It is a knowledge-based process where constraints and needs are converted into a product description. The competition for businesses now centers on innovation and new products. Industries and investors are constantly looking for new upgrade methods and/or equipment to reduce costs and increase capability. One industry in Indonesia that has a tight competitive level is the ceramics industry with a growth rate of 10% per year. The main objective of this study was to create the design of specific machining sanitary Spare Parts production due to complexity of the design. In the proposed methodology, Quality Function Deployment is used to convert the subjective requirements from users into an objective technical response. Theory of Solving Problem Inventively is used to enhance the subpar design by reducing system conflicts and creating a balanced solution between two requirements. The implications of the integration of Quality Function Deployment and Theory of Solving Problem Inventively in this paper are a product design and concept of the specific machining for sanitary spare parts that have been adjusted to the needs of users.
Salwa Mahmood, Ahmad Zahin Zainal Rashid, Nurul Ainina Nadhirah Tajurahim, Helmy Mustafa El Bakri, Ismail Abdul Rahman, Noorul Azreen Aziz,
Volume 36, Issue 4 (IJIEPR- Special Issue 2025)
Abstract
This study addresses ergonomic risks faced by firefighters during hose rolling activities, a physically demanding task that can lead to musculoskeletal issues. Building on a previous project conducted at the Bukit Gambir Fire and Rescue Station, this research expands the analysis by comparing four different hose rolling postures: roll and coil, dutch roll, flaking, and figure of eight. The Rapid Entire Body Assessment (REBA) method was used to evaluate the ergonomic risk levels of each posture. To further enhance firefighter safety, a preventive strategy tool was proposed and developed. The tool’s design was tested using Finite Element Analysis (FEA) in SolidWorks to assess the structural performance of its alloy steel hook and shaft under load. Simulation results showed stress levels below the material’s yield strength, and factor of safety (FOS) analysis confirmed the tool’s structural reliability. This project takes a holistic approach to understanding and mitigating ergonomic risks in firefighting. This study found that the structural of an assistive tool is safe and confirming the robustness and reliability of both the hook and alloy steel shaft designs. By combining ergonomic assessment with engineering simulation, it not only identifies high-risk postures but also provides a practical solution to reduce strain and prevent injury. Ultimately, the project contributes to improving the safety and well-being of firefighters, supporting a safer work environment for those who risk their lives to protect others.
Nurul Ain Sofia Che Awang, Nurul Ainun Hamzah, Nurul Izzah Abdul Samad,
Volume 36, Issue 4 (IJIEPR- Special Issue 2025)
Abstract
Musculoskeletal disorders (MSDs) pose a significant occupational health challenge in dentistry, potentially affecting the health of future dental professionals. This study aimed to assess the prevalence of MSDs among dental students of Universiti Sains Malaysia (USM) and to explore the relationships between MSD occurrence, demographic factors (academic year, gender, and physical activity levels), and ergonomic awareness. Fifty-five dental students participated in the study, responding to validated electronic questionnaires. The results showed a high prevalence of MSDs, especially over 12 months (41.8%) vs. 7 days (14.5%). Most affected areas were the lower back (74.5%), neck (70.9%), shoulders (60.0%), and upper back (54.5%). Female students showed higher prevalence in some regions (p = 0.032), with Year 5 students reporting the highest prevalence (p = 0.046). Ergonomic awareness was high, with 52.7% rating it as good and 47.3% as excellent. These findings highlight the need to integrate thorough ergonomic education and preventive measures into dental curricula, aiming to promote musculoskeletal health and reduce occupational risks for dental students, thereby supporting long-term occupational well-being in their future careers.
