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Mochammad Tanzil Multazam
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tanzilmultazam@umsida.ac.id
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p3i@umsida.ac.id
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Universitas Muhammadiyah SIdoarjo, Majapahit 666 B, Sidoarjo, Jawa Timur, Indonesia
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INDONESIA
Academia Open
ISSN : -     EISSN : 27147444     DOI : https://doi.org/10.21070/acopen
Academia Open is published by Universitas Muhammadiyah Sidoarjo published 2 (two) issues per year (June and December). This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. This journal aims is to provide a place for academics and practitioners to publish original research and review articles. The articles basically contains any topics research or review. Academia Open is available in online version. Language used in this journal is Indonesia or English. Academia Open is an open access journal publishing scientifically accurate and valuable research across life, physical, social, and medical sciences.
Arjuna Subject : Umum - Umum
Articles 161 Documents
Search results for , issue "Vol 9 No 2 (2024): December" : 161 Documents clear
Synthesis and Characterization Studies of Pure and Co Doped ZnO Nano Thin Films Mahdi, Kareema Hameed; Dahham, Najat A.
Academia Open Vol 9 No 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.9297

Abstract

General Background: Thin-film technology is pivotal in advancing modern optoelectronic devices due to its ability to tailor material properties at the nanoscale. Specific Background: Zinc oxide (ZnO) and cobalt oxide (CoO) are prominent materials in this field, with doping techniques such as cobalt incorporation offering potential enhancements in film properties. Knowledge Gap: The impact of cobalt doping on the structural and optical properties of ZnO thin films remains inadequately explored, particularly concerning varying doping concentrations. Aims: Aims to elucidate the effects of cobalt doping on ZnO thin films' structural and optical characteristics, with concentrations of Zn0.6Co0.4O and Zn0.8Co0.2O compared to pure ZnO and CoO films. Results: Thin films were prepared via spin coating on glass substrates at 3000 rpm for 30 seconds. X-ray diffraction analysis revealed that pure ZnO films possess a hexagonal polycrystalline structure, whereas CoO films exhibit a cubic structure. Doping with cobalt resulted in a decrease in peak intensity at the (111) orientation and an increase in grain size. Optical measurements indicated enhanced transmittance and modified absorbance spectra with increased cobalt content, showing maximum absorbance at short wavelengths and diminished values in the visible region. Reflectivity increased with photon energy before decreasing at higher energies. Novelty: Cobalt doping significantly alters both structural and optical properties of ZnO films, with distinct changes in lattice constants, grain size, and optical behavior, suggesting a potential route for optimizing ZnO-based materials. Implications: Cobalt-doped ZnO films hold promise for improved performance in optoelectronic applications, such as solar cells and sensors, necessitating further research into diverse doping strategies to fully harness their technological potential. Highlights: Cobalt doping alters ZnO thin films' structural and optical properties. Spin coating method used at 3000 rpm for 30 seconds. Enhanced optical properties suitable for optoelectronic applications. Keywords: Thin films, Zinc oxide, Cobalt doping, Optical properties, X-ray diffraction
Enhancing Pediatric Nursing Skills by Top Learning Strategies Hameed, MScN , Ayat A.; Shawq, PhD , Adraa H.
Academia Open Vol 9 No 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.9321

Abstract

Background: The efficacy of educational strategies is crucial for nursing students to competently perform pediatric procedures like nasogastric tube insertion. Specific Background: This study evaluates the effectiveness of simulation, blended, and self-directed learning strategies in enhancing these skills among nursing students. Knowledge Gap: Previous research lacks a comprehensive comparison of these strategies' impacts on skill development in pediatric nursing contexts. Aims: The study aims to assess the effectiveness of different educational strategies on nursing students' ability to perform pediatric nasogastric tube insertions. Methods: A pre-experimental design was employed at the College of Nursing, University of Baghdad, involving 60 students divided into three groups. Data were collected via an observational checklist from October to December 2023 and analyzed using SPSS. Results: Significant improvements in students' skills were observed across all groups. Simulation strategy showed highly significant differences with p-values of .001 and large effect sizes (Partial Eta Squared: .887, .902, .582). Blended strategy also demonstrated significant results with p-values of .001 and large effect sizes (Partial Eta Squared: .813, .936, .883). The self-directed strategy was similarly effective, with p-values of .001 and large effect sizes (Partial Eta Squared: .871, .739, .667). Descriptive statistics revealed a notable increase in mean scores in post-tests, indicating the effectiveness of these strategies. Novelty: This study uniquely compares the effectiveness of simulation, blended, and self-directed learning strategies, providing comprehensive insights into their impacts on pediatric nursing education. Implications: The findings underscore the importance of incorporating diverse learning strategies in nursing curricula to enhance practical skills, suggesting that a combination of these methods could be most beneficial for student learning and competence in clinical settings. Highlights: Effective Strategies: Simulation, blended, and self-directed learning enhance pediatric nursing skills. Significant Improvement: All methods showed highly significant skill development with large effect sizes. Unique Comparison: The study provides valuable insights for nursing education curricula. Keywords: Nursing education, pediatric skills, nasogastric tube insertion, simulation learning, blended learning
Effect of Fertilizer With Potassium Humate and the Method of Addition to the Growth and Yield of Red Cabbage Qader , Noha Waleed; Khalo , Sahar Ali
Academia Open Vol 9 No 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.9330

Abstract

Background: The application of potassium humate has been recognized for its potential to enhance plant growth and yield due to its nutrient enrichment properties. Specific Background: Despite extensive research on various fertilizers, the specific effects of potassium humate on red cabbage (Ruby King cultivar) growth and yield, especially concerning the method of application, remain underexplored. Knowledge Gap: Limited studies have addressed the comparative impact of foliar spraying versus soil addition of potassium humate on cabbage vegetative growth and yield characteristics. Aims: This study aimed to evaluate the effects of different concentrations of potassium humate (0, 50, 100, 150 g.l-1) and application methods (foliar spraying and soil addition) on the growth and yield of red cabbage. Results: A randomized complete block design (RCBD) with three replications was implemented during the 2022-2023 agricultural season. Significant improvements in vegetative growth and yield were observed with the highest concentration (150 g.l-1) of foliar spraying. Key vegetative and yield parameters, such as plant height, stem length, number of leaves, leaf chlorophyll content, average head weight, and total yield, were positively influenced. Novelty: This study uniquely highlights the superior efficacy of foliar spraying with potassium humate at 150 g.l-1 over soil addition, providing insights into optimizing fertilization strategies for red cabbage. Implications: The findings advocate for the use of potassium humate, particularly via foliar spraying, as a beneficial organic fertilizer to enhance red cabbage growth and yield. This practice could lead to improved agricultural productivity and better tolerance of plants to environmental stresses, supporting sustainable agriculture initiatives. Highlights: Superior Growth: Foliar spraying with 150 g.l-1 potassium humate boosts growth. Yield Increase: Highest humate concentration yields maximum red cabbage. Effective Strategy: Foliar spraying outperforms soil addition for fertilization. Keywords: Potassium humate, foliar spraying, red cabbage, vegetative growth, yield enhancement
Genetic Stability and Public Health Implications of Plasmid-Free Vibrio cholerae Al-Safi , Mushtaq Talib
Academia Open Vol 9 No 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.9348

Abstract

Background: Cholera, caused by Vibrio cholerae, is a significant global health concern, particularly in regions with poor sanitation. Specific Background: This study focuses on V. cholerae strains isolated from cholera patients in Al-Nasiriyah city, Iraq, where limited genetic studies have been conducted. Knowledge Gap: Despite extensive research on V. cholerae, little is known about the genetic makeup of strains from Al-Nasiriyah city and their plasmid content, which traditionally correlates with antibiotic resistance and virulence. Aims: This research aimed to characterize the genetic and antibiotic resistance traits of V. cholerae strains from cholera patients in Al-Nasiriyah city and to determine the presence of plasmids using advanced molecular techniques. Results: Contrary to expectations, our study identified V. cholerae strains devoid of plasmids and exhibiting a stable genetic profile across two chromosomes, with sizes ranging from 1 to 3 million base pairs. Novelty: Our findings challenge conventional wisdom by demonstrating the absence of plasmids in local V. cholerae strains and highlighting their unique genetic architecture. Implications: This study underscores the importance of genomic diversity studies in understanding V. cholerae epidemiology and guiding public health strategies. Future research should explore larger strain cohorts and conduct comparative genomic analyses to elucidate the broader implications of genetic variability on cholera outbreaks and treatment strategies. Highlights: Genetic Stability: V. cholerae strains exhibit stable genetic profiles. Plasmid Absence: No plasmids found, challenging antibiotic resistance assumptions. Public Health Impact: Crucial for effective cholera management and prevention strategies. Keywords: Vibrio cholerae, genetic diversity, antibiotic resistance, plasmid absence, public health implications
Uncovering the Knowledge Landscape of Food-Drug Interactions Among Medical Professionals Sami, Oula Mohammed
Academia Open Vol 9 No 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.9390

Abstract

Background: Drug-food interactions (DFIs) can alter drug pharmacokinetics and pharmacodynamics, impacting patient outcomes. Health care professionals (HCPs) play a critical role in managing these interactions. Specific Background: Despite their significance, the awareness of DFIs among Iraqi medical professionals is inadequately documented. Knowledge Gap: There is a lack of comprehensive studies evaluating the knowledge of DFIs among medical professionals in Iraq, which is crucial for improving patient care and therapeutic efficacy. Aims: This study aimed to evaluate the knowledge of food-drug interactions among Iraqi medical professionals, including medical students, newly graduated doctors, and junior doctors. Methods: A cross-sectional study was conducted using a self-administered questionnaire with 20 questions evaluating knowledge on common DFIs. Results: The study revealed a concerning lack of knowledge about DFIs among participants, with junior doctors scoring an average of 7.1 out of 15, newly graduated doctors 6.38, and sixth-grade medical students 5.27. Only 13% felt knowledgeable about DFIs, while 31.7% acknowledged their insufficient understanding. Notably, knowledge on interactions such as tyramine-rich foods with antidepressants and grapefruit juice with statins was limited. Novelty: This study provides the first comprehensive assessment of DFI knowledge among Iraqi medical professionals, highlighting significant gaps and educational needs. Implications: The findings underscore the necessity for enhanced educational programs targeting DFIs in medical curricula, ensuring HCPs are equipped to counsel patients effectively, thereby improving patient safety and therapeutic outcomes. These results emphasize the importance of targeted educational interventions to bridge the knowledge gap, ultimately contributing to better health outcomes and informed patient care in Iraq. Highlights: Knowledge Gaps: Iraqi medical professionals lack understanding of common food-drug interactions. Education Needed: Enhanced training on interactions is essential in medical curricula. Patient Safety: Improving knowledge will lead to better patient outcomes. Keywords: Food–Drug Interactions, Knowledge, Drug Interaction, Medical Students
Navigating Ethics in AI-Driven Translation for a Human-Centric Future Mutashar, Mohammed Kadhim
Academia Open Vol 9 No 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.9407

Abstract

General Background: The rapid growth of AI technology is reshaping various industries, including translation, bringing both opportunities and ethical challenges. Specific Background: AI's integration into translation processes promises automation and efficiency but raises concerns about the role of human translators, translation quality, and cultural nuances. Additionally, issues like machine bias and privacy preservation are emerging as critical ethical considerations. Knowledge Gap: While much attention has been given to AI's technical advancements, there is a lack of comprehensive research addressing the ethical implications of AI in translation and its impact on professional roles and requirements. Aims: This study aims to critically review the literature on AI's impact on the translation profession and explore the ethical challenges arising from AI integration. It seeks to provide recommendations for ethical translation practices in an AI-enhanced environment. Results: Through in-depth interviews with professional translators, educators, and industry experts, the study identified key themes such as transparency in AI systems, the responsibility of human translators, bias in AI systems, and the impact on human translators. Novelty: This research offers a unique perspective by combining insights from diverse stakeholders and emphasizing ethical considerations in AI-assisted translation. It proposes an action-oriented approach to addressing ethical concerns to ensure the survival of the translation profession in an AI-driven society. Implications: The findings serve as valuable guidance for translators, educators, and policymakers, highlighting the need for ethical frameworks and guidelines specific to AI integration in translation. This study underscores the importance of balancing AI advancements with ethical standards to achieve high-quality, culturally sensitive translations. Highlight: Ethical Considerations: Address bias and privacy in AI-assisted translation. Human Expertise: Maintain human involvement for quality and cultural nuance. Future Research: Enhance ethical practices with diverse, comprehensive studies. Keyword: AI integration, translation ethics, machine bias, human translators, cultural sensitivity
Developing an Accounting Information System Based on Artificial Intelligence to Improve the Quality of Accounting Information and the Decision-Making Process Al-Obaidy, Fayiz Hazem
Academia Open Vol 9 No 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.9411

Abstract

General Background: Artificial intelligence (AI) enables systems to understand and interpret data, facilitating intelligent decision-making without human interaction. Specific Background: Traditional accounting systems are fraught with flaws that compromise the quality of accounting information and decision-making processes. Knowledge Gap: There is a need for advanced AI applications to improve the accuracy of accounting data by precisely evaluating vast amounts of data, identifying errors and corrections, and accelerating financial report creation. Aims: This quantitative study aims to enhance accounting information quality by developing an AI-based accounting information system and examining its impact on the decision-making process. Results: The research utilized questionnaires to gather opinions from accountants at Rafidain Bank, Iraq, and analyzed the data using SPSS. Findings reveal that modern AI technologies significantly enhance accounting data accuracy, with a 90% success rate in detecting and correcting errors. Additionally, AI technology accelerates financial reporting, reducing the average response time to 250 milliseconds, thereby saving time and effort in accounting processes. Novelty: This study is pioneering in its comprehensive evaluation of AI's role in improving accounting data accuracy and operational efficiency within financial institutions. Implications: The research underscores the importance of upgrading device and data processing infrastructure to maximize the performance of AI-based accounting systems. The findings suggest that integrating contemporary AI technology in accounting can streamline operations, save accountants time, and boost the overall efficiency of financial and accounting institutions. Highlight: AI improves accounting data accuracy with 90% error detection and correction. AI accelerates financial reporting, reducing response times to 250 milliseconds. Upgraded infrastructure is crucial for optimal AI system performance. Keyword: Artificial Intelligence, Accounting Information, Data Accuracy, Financial Reporting, Decision-Making
Alarming Rise of MDR Bacteria in Uremia Patients in Iraq Hameed, Ahmad Shandookh
Academia Open Vol 9 No 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.9412

Abstract

Background: Uremia, a common complication of chronic kidney disease (CKD), compromises patient immunity and increases susceptibility to bacterial infections. Frequent hospital visits further exacerbate this vulnerability. Specific Background: In Nasiriyah City, managing infections in uremia patients is complicated by multidrug resistance (MDR) and extensively drug resistance (XDR). Knowledge Gap: Despite the critical nature of this issue, the prevalence and resistance distribution of MDR and XDR bacterial isolates in uremia patients in this region have not been extensively studied. Aims: This research aims to establish the prevalence and resistance distribution of MDR and XDR bacterial isolates from uremia patients in Nasiriyah City, with an emphasis on treatment and infection control strategies. Methods: A cross-sectional study was conducted at Al-Hussein Teaching Hospital from February 2023 to January 2024. Results: The study identified Escherichia coli (40%), Klebsiella pneumoniae (30%), Staphylococcus aureus (20%), and Pseudomonas aeruginosa (10%) as predominant pathogens. High resistance rates were observed against Ampicillin (95%), Amoxicillin-Clavulanate (80%), and Ceftriaxone (75%), Novelty: This study provides the first comprehensive data on the prevalence and resistance profiles of MDR and XDR bacterial isolates in uremia patients in Nasiriyah City. Implications: The findings highlight the urgent need for stringent infection control measures, the application of effective antibiotics like carbapenems, and the development of alternative therapeutic strategies. Highlight: High resistance to Ampicillin (95%) and Amoxicillin-Clavulanate (80%). Lowest resistance to Imipenem (5%) and Meropenem (10%). Urgent need for Antimicrobial Stewardship Programs. Keyword: Uremia, CKD, MDR bacteria, antibiotic resistance, Nasiriyah City
Unmasking Orphan Students' Deep Psychological Defeat Faisal , Batoul Jassim; Al-Jamaan, a. Dr. Sana Abdel Zahra
Academia Open Vol 9 No 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.9416

Abstract

General Background: Psychological defeat significantly impacts individuals' emotional well-being, particularly in vulnerable populations such as orphan students. Existing research often overlooks the nuanced experiences of orphans in secondary education. Specific Background: Orphanhood, encompassing the loss of one or both parents, creates unique psychological challenges that can affect students' emotional and academic performance. This study addresses the gap in understanding how these challenges manifest among orphan students in secondary schools. Knowledge Gap: Despite acknowledging the emotional difficulties faced by orphans, limited research has specifically explored psychological defeat among this group, particularly concerning the impact of parental loss and gender differences. Aims: This research aims to identify and measure the degree of psychological defeat among orphan students in secondary schools in Basra Governorate. The study also seeks to determine if psychological defeat varies by the type of parental loss and gender. Results: The study found that orphan students experience a high level of psychological defeat, with no significant gender differences observed. However, significant variations in psychological defeat were identified based on the type of parental loss (father, mother, or both). Novelty: This research introduces a newly developed scale for measuring psychological defeat tailored to the context of orphan students, filling a critical gap in existing literature. Implications: The findings underscore the need for targeted psychological support and interventions for orphan students, considering the type of parental loss. Recommendations include developing tailored counseling programs and support mechanisms to address the specific needs of these students and mitigate their psychological defeat. Highlights: High psychological defeat in orphan students, regardless of gender. Variations by parental loss type, significant differences found. New scale developed for measuring psychological defeat in orphans. Keywords: Psychological defeat, orphan students, secondary education, parental loss, emotional well-being
Gender and Specialty Influence on Narcissism in University Students Owaid , Fatima Kazem; Al-Badran, Assistant Professor Hanaa Sadiq
Academia Open Vol 9 No 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.9.2024.9421

Abstract

Background: Narcissistic personality traits have garnered increasing attention in psychological research, particularly within academic environments where student behavior and performance are critical. Understanding these traits and their influencing factors is essential for improving student well-being and academic outcomes. Specific Background: The impact of gender and field of study on narcissistic traits among university students remains underexplored. Kernberg's (1970) theoretical framework provides a basis for investigating these traits through empirical measures. Knowledge Gap: While previous studies have examined narcissism broadly, there is limited research focusing specifically on how gender and academic specialization affect narcissistic traits among university students. Aims: This study aimed to identify narcissistic personality traits among university students and examine variations based on gender and field of study using a newly developed Narcissistic Personality Scale. Results: The research, involving 376 students from the University of Basra, utilized a 35-item scale validated through rigorous psychometric testing. The results indicated that the average narcissism score was significantly higher than the hypothesized mean. Male students exhibited higher levels of narcissism compared to female students, and humanities students scored higher than their scientific counterparts. Novelty: This study provides new insights into the prevalence and variance of narcissistic traits among university students, highlighting significant differences related to gender and academic specialization. Implications: The findings underscore the need for university programs to address narcissistic traits and their impact on student behavior and academic performance. Future research should investigate the longitudinal effects of narcissism and evaluate interventions aimed at reducing these traits. Highlights: Gender differences: males show higher narcissism. Humanities students exhibit more narcissistic traits. Calls for targeted university interventions. Keywords: narcissistic personality, university students, gender differences, academic specialization, psychometric scale