MSU JOURNAL Management and Science University
Not a member yet
127 research outputs found
Sort by
The Effectiveness of Endorphin Massage and Husband Support Toward Pain During Childbirth at Midwife Practice’s Area in Solo Region Indonesia
Development of a Decision Support System for Perishable Food Management in Culinary Education Institutions Using Machine Learning with Linear Regression
This study presents the development of a decision support system tailored for educational institutions with culinary programs, aimed at optimizing the management of perishable food items. The system employs a machine learning approach, specifically linear regression, to predict and enhance decision-making regarding the handling, storage, and utilization of perishable ingredients. The foundation of the system lies in the collection and analysis of historical data pertaining to various perishable food items commonly utilized in culinary education. Key variables, including temperature, humidity, storage duration, and other relevant factors, are identified to build a robust linear regression model. This model serves to predict the remaining shelf life of perishable goods, offering valuable insights into optimal storage conditions. Instructors benefit from a tool that enhances the practical learning experience, fostering a deeper understanding of food preservation and waste reduction. Continuous feedback mechanisms are integrated to improve the system's accuracy and relevance over time. Culinary educators can contribute insights, ensuring that the system remains aligned with the dynamic needs of culinary education.By incorporating this decision support system into culinary programs, educational institutions can not only empower students with practical skills but also in still a culture of sustainability and resource efficiency. The linear regression model, as a part of the system, aids in making informed decisions that align with industry best practices, contributing to the development of responsible and skilled culinary professionals. This research represents a significant step towards leveraging machine learning techniques to enhance culinary education, offering a practical and innovative solution for the management of perishable food items within educational settings
The Perceived Effectiveness of Online vs Physical Continuous Medical Education Sessions among Malaysian Doctors: A Cross-Sectional Study.: Perceived Effectiveness of Online vs Physical Continuous Medical Education Sessions
Ever since the pandemic, many educational platforms have gone online including Continuing Medical Education (CME). The objective of this study was to identify perceived focus and perceptions of both modes amongst Malaysian doctors. This was a cross-sectional study conducted from May to June 2020 via an online questionnaire. The researchers sent out the questionnaire to doctors via social media to study the perceived focus amongst attendees. We included all those who claimed to have participated in both types of CME previously. The final analysis included 357 respondents. The mean age of respondents was 46.54 (SD:17.52) years and the mean duration of practice was 21.46 (13.61) years. From the total, 46.5% of them were General Practitioners (GPs) and 49.9% were from the private sector. From the total, 60.4% of them participated in the online CME from their homes and 51.7% of them accessed it via their handphones. In a 60-minute CME activity, the perceived ability to focus (focus which participant perceive to have had/attained) in a physical CME was 32.94 (SD: 13.17) minutes and 32.65 (12.61) minutes for online CME (p=0.76). The perceived attention span and participation were better in a physical CME (both p<0.001) and attention was mainly diverted to do other things during the meeting for online CME (p<0.001). Although online CME was convenient during the pandemic, many participants felt they had a shorter attention span, less participation and had some attention diversion during online CME. Improving participation and attention span for online CME is very much needed
Assessing the Work Performance of Nonmanagerial Employees in the Telecommunication Industry: The Influence of Communication, Commitment, Trust, & Teamwork
The performance of the organization depends entirely on the performance of the employees. The failure of the organization to maintain good work performance leads to the problem of low productivity and a high employee turnover rate. This study aims to identify the factors that affect work performance among private employees in the telecommunications industry. This study relied on the underpinning models of the resource-based view (RBV) and high-performance work systems (HPWS), which believe that the employees could act as an asset and the asset could be strengthened with quality work systems, which in turn affect job performance. The study examines the effect of communication, commitment, trust, and teamwork on work performance. Primary data was obtained through a questionnaire with a total of 105 respondents. This study used Pearson correlation and regression analysis to analyze the data. The study found that employees believe the four factors affect work performance and trust significantly impacts work performance. The organization needs to prioritize the intrinsic motivational needs of employees and set training goals to improve work performance. Employee performance management is becoming increasingly important because human capital is the main driving force that leads to the organization's ability to perform well and effectively. 
The Impact of Data Environment on Organizational Digital Innovation in China
Introduction: With the rapid development of digital technology, data has become a new factor of production and innovation. Data flows within the digital innovation ecosystem in the form of innovation elements, which activate, connect, and aggregate the innovation activities of enterprises. From the perspective of the digital innovation ecosystem, this study explores the impact of the data environment on enterprise digital innovation, and conducts an empirical analysis through data collected from Chinese enterprises.Purpose: This study explores the impact of the external data environment on enterprise digital innovation to deepen the understanding of the core elements of the digital economy, give full play to the multiplier effect of data elements, and empower economic and social development.Method: The cross-sectional study was conducted from November 2023 to March 2024 among 384 employees and managers in the core industries of the digital economy as well as enterprises in traditional industries in China. Data was collected by close-ended questionnaires adapted from previous literature. Structural equation modelling (SEM) was employed to analyse data using SPSS 28 and AMOS 28.Results and conclusions: Findings show that both data openness and data flows are positively, significantly, and directly related to organizational digital innovation. As data has become an increasingly important factor of production, the openness of public data helps firms better face rising competitive pressures and increase the diffusion of technology while the flow of data elements in the digital innovation ecosystem can drive the concentration of knowledge, technology, capital, and talent to more efficient areas and improve the misallocation of resources
The Effectiveness of Health Promotion Related to Behavior of Living Clean and Healthy (BLCH) Towards the Quality of Life in the Family Order in Karanganyar Regency Central Java Indonesia
These various problems are closely related to behavioral factors, where behavior has a role in maintaining and increasing the degree of health, namely behavior in having BLCH (Kholifah et al., 2017)(Hartini et al., 2017). The quality of health in the society will be achieved if the government launches a health program or movement. There are several movements that have been launched by the government in Indonesia, including the Movement for Healthy Living Communities (Germas) or Behaviour of Living Clean and Healthy (Kemenkes RI, 2018)(Erlina Puspitaloka Mahadewi et al., 2021).
The aim of the study was to see the effect of health promotion regarding BLCH on quality of life in the family order. The independent variable of health promotion is about BLCH and the dependent variable is the quality of life of the society in the family order. This type of research is quasi-experimental with a nonrandomized pretest posttest control group design. The research was conducted in 2 sub-districts, Gondangrejo and Colomadu, Karanganyar Regency, with a total population of 40,630 families, using Non-Probability Sampling technique with Purposive Sampling technique. The sample based on the Slovin 396 formula which was divided into the intervention group and the control group. This research used Multiple Liner Regression analysis with Interval data scale. Results: There was no significant effect of BLCH in the MCH category on the quality of life of the intervention group. (b = 0.36, t partial = 1.62 and p value = 0.108). There was no significant effect of BLCH in the environmental health category on the quality of life of the intervention group. (b = 0.47, t partial = 1.53 and p value = 0.128). There was no significant effect of BLCH in the lifestyle category on the quality of life of the intervention group. (b = 0.25, t partial = 1.16 and p value = 0.249)
The Role of Virtual Reality (VR) Application (Google Arts and Culture) as a New Teaching Approach and its Impact towards the Learning of the Visual Arts Subject
The main issues of teaching Visual Arts in secondary schools situated in Selangor is the reliance of textbook, static images and limited access to diverse art resources (Rahmat et al., 2022). These conventional approaches had also limited students’ exposure to global art resources that hindered their comprehensive understanding of the Visual Arts (Fomina et al., 2018). Since the VR application, Google Arts and Culture offered immersive access to global art collections and interactive features, it represented a promising yet untested approach in teaching Visual Arts subject for secondary schools. While the application held potential, there is a lack of research on its role and impact for secondary schools (Simanjuntak, 2021). Grounded in the framework of Sustainable Development Goal (SDG) 4 for Quality Education, focusing on target 4.7 (ii) education for sustainable development which were (b) curricula, (c) teacher education and, (d) student assessment; this study introduced the VR application, Google Arts and Culture as a new teaching approach for the Visual Arts subject curricula in secondary school context. There were two objectives of this study: 1) To identify the role of VR application, Google Arts and Culture as a new approach in teaching the Visual Arts subject and, 2) To investigate the impact of VR application, Google Arts and Culture in learning the Visual Arts subject in a secondary school situated in Selangor. This was a quasi-experimental study involving Form 1 students of two classes, 1 Alamanda (control group) and 1 Ros (experimental group). The research instrument was a Five-Point Likert Scale pre-post-test questionnaire. They were distributed through Google Meet and Telegram platforms in the third and eleventh week respectively. Data were analyzed with descriptive statistics using Statistical Package for Social Sciences (SPSS) software version 26. The findings of the questionnaires and assessment of botanical illustrations revealed that the VR application (Google Arts and Culture) as a new teaching approach created a meaningful and attentive teaching, and impacted the learning of Visual Arts subject through increased student engagement and comprehension of artistic concepts for students of class 1 Ros rather than class 1 Alamanda. Therefore, the results of this study had fulfill the gap mentioned by Simanjuntak, 2021. Future studies should examine the use of VR in higher education institutions, focusing on redesigning either physical or online dimensions with providing a practical layout or guideline (Jasmine et al., 2020), which could encourage student engagement and strengthen their memory (Wei et al. 2021; Yahaya and Ahmad, 2017). 
Relationship Between Motivation and Age on Compliance doing Bio Energy Power (BEP) Exercise to Stabilize Blood Pressure in Individuals with Hypertension in Java, Indonesia
Hypertension is a disorder characterized by increased blood pressure that can occur periodically and is influenced by physical, environmental, and psychological conditions. With the instability of changes in blood pressure by trigger factors, hypertension treatment must be done routinely and continuously. Bio Energy Power (BEP) exercise should be done regularly as a non-pharmacological treatment with minimal side effects. Long-term treatment often decreases patient motivation and compliance. There is a need to develop a more pleasant type of treatment to increase patient motivation to follow BEP exercise. The BEP exercise pattern consists of three positions, namely standing, stance, and sitting, so elderly patients can do it. This study aims to analyze the relationship between Motivation and compliance to following BEP exercise in hypertensive patients. Data in this study were obtained through observation and dissemination of motivation questionnaires in BEPers communities in Indonesia (Jakarta, Yogyakarta, And Surakarta). To assess its validity and reliability, the researcher developed a motivation questionnaire of 20 items tested first on 50 respondents outside the research sample. The validity test results showed that 20 items had an indigo Rtable > of 0.361, so they were declared valid and reliable, with a Cronbach's Alpha value of 0.732. The results of this study were statistically insignificant, which showed no relationship between respondents' motivation for compliance with the intervention and the analysis results (p= 0.192; r= -0.105). This study also showed a statistically significant association between age and compliance (p = 0.001; r = -0.541). These results indicate a negative correlation, proving that compliance with following the BEP exercise decreases with age. 
Monitoring and Evaluating System for Vision Therapy in Children Khairunnisa Mohd Norsalim
This study introduces a novel digital system aimed at enhancing the detection and treatment of common visual anomalies in children, such as amblyopia (lazy eye), blur, and near-sightedness. Unlike traditional methods, the proposed system employs video-guided exercises to facilitate the detection and monitoring of vision therapy, offering a more effective and adaptable approach. Through the integration of advanced technology, the system aims to empower parents to recognize and understand vision impairments in their children, addressing a common challenge where such issues often go unnoticed. In comparison to existing solutions, the digital solution presented in this study offers superior support with an engaging, user-friendly interface that simplifies vision rehabilitation. Additionally, the system bridges the gap by providing mobile phone compatibility, professional oversight, and a wider age range of applicability, ensuring greater accessibility and effectiveness in vision therapy. This innovative approach represents a significant improvement over traditional methods, promising better outcomes for children's visual health. Vision therapy, Interactive therapy, Vision impairment, Visual development, Digital system, Early detection, Eye health monitoring, Eye exercises, Parents involvement in vision car
Human Body Mass Prediction from Handprint among Philippine Tagalogs for Personal Identification
Background and aim: A crime scene is a challenging area wherein physical evidence is the only magic wand to solve the crime. Many impressions, such as fingerprints, handprints, footprints, and toe prints, are valuable evidence left unintentionally by the offenders. The investigators at the crime scene generally ignore the smudged finger and handprints. Hence, this research aims to find body mass from handprints of the Tagalog population in the Philippines so that the findings may be used to determine living body weight from a forensic perspective.Materials and method: The sample was obtained in the Philippines from 180 males and 180 females of the Tagalog people in the Philippines. The handprints and body mass measurements were obtained in the earlier studies. There were five handprint lengths obtained from a subject. The samples were examined statistically, and formulae for body mass prediction were derived from various handprint lengths, as shown in tables and figures.Results: The result shows a positive correlation between body mass and handprint lengths in the study population. The result shows that the male handprints are longer than the female handprints. Also, an individual's right handprint and left handprint lengths show minor variation but are not statistically significant. Hence, left and right-hand lengths are integrated and derived five regression formulae to determine body mass from handprint lengths. The correlation coefficient (R) values are found to be higher in males (0.33-0.39) than in females (0.24-0.30).Conclusion: The study concluded with the formulae derivation to predict body mass from handprint lengths of Tagalog people. Notably, even the presence of a single handprint (partial handprint) in the scene is sufficient for body mass prediction.