cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Della Dwi Ayu
Contact Email
della.dwi.ayu@upnvj.ac.id
Phone
+62318945444
Journal Mail Official
notification@umsida.ac.id
Editorial Address
Jl. Mojopahit 666 B Sidoarjo, Jawa Timur 61215
Location
Kab. sidoarjo,
Jawa timur
INDONESIA
Academia Open
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 27147444     DOI : 10.21070/acopen.11.2026.12985
Core Subject : Health,
Medicine & Pharmacology Public Health
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.
Arjuna Subject : Profesi Kesehatan - Profesi Kesehatan (Lain-Lain)
Articles 2,389 Documents
 158   159   160   161   162 
Implementing Job Safety Analysis to Analyze Hazard Risk Factors for Paper Core Workers Dwi Arwandi Yogi Saputra; Pritha Maya Savitri; Fitriana Titis Perdini; Yanti Harjono; Muhammad Mansyah Lestari; Toriq Abqo; Vira Monica; Alma Putri Maulidawati; Rayhan Fawzy Kusumahdipura; Massayu Savira Gading
Academia Open Vol. 11 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.11.2026.11719

Abstract

General Background: Occupational safety and health remain critical concerns in industrial manufacturing due to persistent exposure to physical, chemical, and ergonomic hazards. Specific Background: Paper core manufacturing involves high-speed machinery, heavy material handling, elevated temperatures, and continuous noise, which collectively pose risks for work-related diseases. Knowledge Gap: Despite routine production activities, systematic identification and prioritization of occupational health risks in paper core factories using structured analytical methods remain limited. Aims: This study aimed to identify and assess occupational safety and health hazards among paper core workers using the Job Safety Analysis approach. Results: The analysis identified noise and high temperature exposure as high-risk hazards, particularly associated with winding, cutting, trimming, and seamless processes, with hypertension emerging as a prominent occupational health risk among workers exposed for eight-hour shifts. Other hazards, including dust exposure, ergonomic strain, and chemical contact, were categorized as medium to low risk. Novelty: This study provides a comprehensive, process-based hazard mapping of paper core manufacturing activities using Job Safety Analysis, explicitly linking high-risk operational stages with hypertension risk classification. Implications: The findings support the need for structured risk assessments, environmental controls, ergonomic interventions, and continuous health monitoring to manage occupational health risks and support worker safety and productivity in paper core manufacturing facilities. Highlights: High-temperature and acoustic conditions were classified as dominant high-risk hazards across multiple production stages. Cardiovascular conditions were identified among workers subjected to prolonged industrial exposure. Structured hazard mapping enabled prioritization of preventive workplace controls. Keywords: Job Safety Analysis, Ergonomics, Health, Safety
Linguistic Differences between the Terms “Khabar” and “Naba'” (A Semantic Study of Words in the Qur'an): Perbedaan Linguistik antara istilah “Khabar” dan “Naba’ ” (Studi Semantik Kata-Kata Al-Qur'an) Rowiyah; Ahmad Zuhri; Harun Al Rasyid
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11721

Abstract

General background: The Qur’an, as a central religious text, employs linguistic precision in conveying divine messages. Specific background: Among the vocabulary used, the terms Al-Khabar and Al-Nabāʾ are often considered synonymous but contain nuanced differences that impact interpretation. Knowledge gap: Existing studies overlook the semantic and contextual distinctions between these two terms in Qur’anic discourse. Aims: This study aims to analyze the linguistic and semantic differences between Al-Khabar and Al-Nabāʾ through a qualitative approach using semantic and comparative methods. Results: The research reveals that while both terms relate to the concept of “news” or “information,” Al-Nabāʾ specifically refers to information that is highly important, beneficial, and carries profound implications, whereas Al-Khabar lacks such mandatory characteristics. Novelty: This study uniquely highlights that Al-Nabāʾ must fulfill three specific criteria—importance, utility, and the ability to produce knowledge or certainty—making it more exclusive in its Qur’anic application. Implications: These findings contribute to deeper Qur’anic linguistic studies and assist interpreters in making more accurate semantic distinctions, thus enhancing the integrity of exegesis and linguistic analysis of the Qur’an.Highlight : The study focuses on the differences in meaning between Al-Khabar and Al-Nabāʾ in the Qur'an. Al-Nabāʾ has specific characteristics: it is important, useful, and generates knowledge. It uses a descriptive and comparative approach based on literature studies. Keywords : Al-Khabar, Al-Nabāʾ, Synonym, Semantic, Qur'an
Education on the Application of Electrical Technology Through Creative Learning Projects: Pendidikan tentang Penerapan Teknologi Listrik Melalui Proyek Pembelajaran Kreatif Ayu Mika Sherila; Ni Putu Devira Ayu Martini; Achmad Zuchriadi; Yosy Rahmawati
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11723

Abstract

General Background: The rapid advancement of technology demands innovative approaches in education to equip students with essential STEM competencies. Specific Background: In Indonesia, high school learning of electrical engineering is still dominated by theoretical instruction with limited opportunities for hands-on practice, resulting in low engagement and inadequate technical skill development. Knowledge Gap: Few initiatives integrate real-world electrical engineering applications into secondary education through creative, project-based learning. Aim: This study reports on the implementation and evaluation of a creative learning outreach program conducted by Universitas Pembangunan Nasional Veteran Jakarta at SMA Negeri 66 Jakarta, designed to enhance students’ understanding of electrical technology. Results: The program engaged 72 students through three interactive modules: portable solar power storage, a mechatronic sumo robot, and IoT-based drowsiness detection glasses. Evaluation results showed a 28% increase in interest toward STEM careers, a 35% improvement in conceptual understanding, and positive perceptions of program delivery. Novelty: Unlike conventional lectures, this initiative combined project-based learning with real-world prototypes, directly linking theory with application and fostering creativity, collaboration, and problem-solving. Implications: These findings highlight the value of integrating interactive, technology-driven projects into secondary education, offering a scalable model for strengthening STEM literacy and preparing future engineers.Highlight : Hands-on modules (solar power, sumo robot, IoT glasses) increased student engagement. Survey showed 28% higher STEM interest and 35% better understanding of technology. Program effectively connected theory with real-world applications in electrical engineering. Keywords : Education, Creative Learning Project, Electrical Technology, Project-Based Learning, STEM
Comparison of Independent and Principal Component Analysis in Bighorn Basin Imagery Jalal Ibrahim Faraj; Ayad Jumaah Kadhim
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11725

Abstract

General Background: Dimensionality reduction is a critical technique in image processing, especially for multispectral satellite imagery where data redundancy and computational complexity are prevalent challenges. Specific Background: Principal Component Analysis (PCA) and Independent Component Analysis (ICA) are two widely adopted methods for reducing dimensionality while preserving essential image information. Knowledge Gap: Despite their extensive usage, comparative assessments of their performance in multispectral image reconstruction, particularly in geospatial contexts, remain limited. Aims: This study aims to evaluate and compare the effectiveness of PCA and ICA in processing Landsat multispectral images of the Bighorn Basin by assessing image reconstruction fidelity. Results: The findings reveal that PCA outperforms ICA in reconstruction quality, achieving higher Peak Signal-to-Noise Ratio (PSNR) values (up to 27.78 dB) and lower Root Mean Square Error (RMSE), whereas ICA, though proficient in extracting statistically independent features, demonstrated lower fidelity (PSNR = 17.63 dB). Novelty: The work offers a rigorous, side-by-side quantitative analysis of PCA and ICA applied to real-world satellite data, highlighting variance behavior and reconstruction trade-offs. Implications: These insights inform the selection of dimensionality reduction techniques in remote sensing tasks—PCA for optimal reconstruction and noise elimination, and ICA for feature extraction based on statistical independence.Highlights: PCA provides superior image reconstruction accuracy with higher PSNR and lower RMSE. ICA excels in isolating statistically independent features for advanced analysis. PCA components show faster variance decay, making them efficient for compression. Keywords: Dimensionality Reduction, Satellite Imagery, Principal Component Analysis, Independent Component Analysis, Image Reconstruction
Rewards, Workload, and Competence in Relation to Job Satisfaction Among Train Drivers : Reward, Beban Kerja, dan Kompetensi terhadap Kepuasan Kerja Masinis Fatasya Rizki Fauziah; Mahben Jalil; Deddy Prihadi
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11726

Abstract

Background: Job satisfaction is a crucial factor in human resource management (HRM) that impacts employee productivity, organizational stability, and public transportation safety. Specific Background: In Indonesia’s railway sector, train drivers face high workloads, limited rewards, and insufficient competency development programs, potentially lowering job satisfaction. Knowledge Gap: Previous studies have examined reward systems, workload, and competencies individually or in different industries, leaving limited understanding of their combined effects in the railway sector. Aim: This study aims to analyze the individual and simultaneous effects of rewards, workload, and employee competence on train drivers’ job satisfaction at PT Kereta Api Indonesia (Persero) Daop IV Semarang. Results: Using a quantitative approach with 100 respondents and multiple linear regression analysis, the study found that rewards and competence significantly and positively influence job satisfaction, whereas workload shows no significant effect. Collectively, these factors explain 80.1% of job satisfaction variance. Novelty: This research integrates three key HR factors within the unique operational context of the railway industry, providing empirical evidence not previously explored. Implications: Findings guide transportation management in designing equitable reward systems and competency development programs to enhance employee well-being and operational performance in high-risk public transport environments.Highlight : Rewards and competence have a significant positive effect on job satisfaction. Workload does not have a significant effect on job satisfaction. These three variables together explain 80.1% of the variation in job satisfaction. Keywords : Rewards, Workload, Employee Competence, Job Satisfaction, Train Drivers
SPC and Kaizen Reveal Dominant Yarn Production Defects: SPC dan Kaizen Mengungkap Cacat Produksi Benang yang Dominan mukamat dwiki hariantoro; indah apriliana sari wulandari
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11727

Abstract

General Background: Quality control in textile manufacturing is essential to maintain production consistency and minimize nonconforming products that can disrupt operational performance. Specific Background: PT EQY, a yarn spinning manufacturer, recorded 1,475 bales of nonconforming products from a total production of 39,719 bales during August 2023–July 2024, exceeding the company’s tolerance threshold and indicating quality deviations within the production process. Knowledge Gap: Prior quality monitoring within the company lacked integrated analytical methods that systematically combined statistical monitoring tools with continuous improvement strategies to comprehensively identify defect patterns and corrective actions. Aims: This study aims to identify dominant defect types in yarn production, evaluate process stability using Statistical Process Control tools, and formulate corrective strategies based on Kaizen principles. Results: The analysis identified three dominant defect categories, including swallot defects totaling 560 bales, products without tail totaling 473 bales, and color inconsistency totaling 442 bales. Control chart analysis indicated several production periods exceeding statistical control limits, reflecting unstable production processes. Root cause analysis using fishbone diagrams identified machine maintenance scheduling, production methods, workforce discipline and training, and environmental conditions as primary contributing factors. Novelty: This research integrates Statistical Process Control with Kaizen-based analytical frameworks, including 5W-1H analysis, Five M checklist, and 5S implementation, within yarn production quality monitoring. Implications: The proposed analytical framework provides structured guidance for identifying production deviations, supporting systematic waste reduction and continuous quality monitoring in textile manufacturing operations. Highlights: Swallot Category Recorded the Highest Nonconforming Quantity During the Observation Period. Statistical Monitoring Identified Several Production Months Exceeding Control Boundaries. Root Cause Mapping Identified Maintenance Routines, Operator Training, Procedural Practices, and Workplace Conditions as Primary Contributors. Keywords: Statistical Process Control, Kaizen, Yarn Production, Quality Monitoring, Production Defects
Technology Adoption and User Satisfaction in Industrial Information Systems: Adopsi Teknologi dan Kepuasan Pengguna dalam Sistem Informasi Industri Dhimas Wahyu Prayogi; Moch. Tutuk Safirin
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11732

Abstract

General background: The acceleration of digital transformation in Indonesia’s industrial sector requires effective information systems to support governance, data integration, and decision-making. Specific background: The National Industrial Information System (SIINas) was developed to meet these needs; however, its utilization in East Java remains suboptimal due to limited understanding, low awareness, and uneven adoption among industrial companies. Knowledge gap: Existing studies on technology adoption using the Technology-Organization-Environment (TOE) framework rarely examine SIINas, particularly regarding how adoption influences user satisfaction at the regional level. Aims: This study analyzes how technological, organizational, and environmental factors affect SIINas adoption and how adoption subsequently impacts user satisfaction. Results: Using a quantitative approach with PLS-SEM and 76 respondents, findings show that all three TOE dimensions significantly influence technology adoption, with environmental factors having the strongest effect. Adoption also demonstrates a strong, significant impact on user satisfaction. Novelty: This study provides the first integrated TOE–user satisfaction evaluation of SIINas at the provincial level. Implications: The results highlight the need for stronger environmental support, organizational readiness, and technological capability to enhance SIINas adoption and improve user experience within the industrial sector. Highlights: Identifies key technological, organizational, and environmental drivers of SIINas adoption. Demonstrates strong influence of adoption on user satisfaction. Provides the first regional TOE-based evaluation of SIINas in East Java. Keywords: SIINas, Technology Adoption, TOE Framework, User Satisfaction, Industrial Information Systems
Workload, Stress, and Motivation as Key Drivers of Employee Performance: Beban Kerja, Stres, dan Motivasi sebagai Faktor Utama yang Mempengaruhi Kinerja Karyawan Anggit Rahmaddani Safenda; Kusuma Chandra Kirana; Epsilandri Septyarini
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11733

Abstract

General Background: Employee performance is a key determinant of organizational success, particularly in public service institutions. Specific Background: At the Social Service Office of Gunungkidul Regency, performance optimization is essential to meet increasing administrative and social demands. Knowledge Gap: While previous studies have addressed individual factors such as workload, stress, or motivation, limited research integrates these variables simultaneously within local government contexts in Indonesia. Aims: This study aims to examine the influence of workload, work stress, and work motivation on employee performance—both individually (partially) and collectively (simultaneously). Results: Using a quantitative ex post facto design with total sampling of 45 civil servants and contract workers, data were collected via validated and reliable Likert-scale questionnaires. Multiple linear regression analysis revealed that workload, work stress, and motivation each have a positive and significant effect on performance. Notably, moderate work stress (eustress) enhances alertness and discipline. Collectively, the three variables account for 82.5% of the variance in employee performance. Novelty: The study highlights the constructive role of moderate stress in public service performance, a nuance often overlooked in stress-performance literature. Implications: These findings suggest that managing optimal levels of workload, stress, and motivation is critical to enhancing public sector employee performance. Highlights: Balanced stress (eustress) can enhance employee effectiveness. Motivation significantly drives public service performance. Combined variables explain 82.5% of performance outcomes. Keywords: Workload, Work Stress, Work Motivation, Employee Performance, Public Sector
From dashboards to decision-making agents: Integrating agentic AI into Business Intelligence Systems for enterprise transformation: Dari dasbor hingga agen pengambil keputusan: Mengintegrasikan AI agen ke dalam Sistem Intelijen Bisnis untuk transformasi perusahaan Umidjon Saidkhujaev
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11734

Abstract

General Background: Business Intelligence (BI) systems have evolved from static dashboards to dynamic tools for data-driven decision-making. Specific Background: However, traditional BI remains reactive and limited in autonomy, creating a performance bottleneck in rapidly changing enterprise environments. Knowledge Gap: Current literature lacks a comprehensive model that integrates agentic AI—AI systems capable of autonomous planning, execution, and adaptation—into existing BI frameworks. Aims: This study introduces the "BI-Agentic Decision Loop" framework to operationalize agentic AI within BI systems and assess its transformative impact. Results: Empirical findings from financial, ESG, and operational domains show improvements including a 45% rise in decision accuracy, 75% reduction in ESG reporting time, and 60% gain in real-time responsiveness. Novelty: Unlike prior models, the proposed framework emphasizes closed-loop autonomy with contextual perception, adaptive reasoning, and continuous learning while ensuring human oversight. Implications: The integration of agentic AI into BI signifies not merely a technological upgrade but a paradigm shift in enterprise strategy, requiring new governance models, organizational change, and ethical safeguards to fully harness its potential.Highlights: BI-Agentic Decision Loop – A new framework enabling autonomous, proactive, and adaptive decision-making in business systems. Performance Boost – Real-world cases show 45% improved forecast accuracy, 75% faster ESG reporting, and 60% better operational response. Strategic Shift – Adoption requires addressing governance, trust, and organizational change to fully leverage agentic AI capabilities Keywords: Agentic AI, Business Intelligence, Decision-Making, Autonomous Systems, Enterprise Transformation
WAYS TO USE MODERN METHODS IN THE MANAGEMENT OF HIGHER EDUCATIONAL INSTITUTIONS: CARA-CARA UNTUK MENGGUNAKAN METODE MODERN DALAM PENGELOLAAN INSTITUSI PENDIDIKAN TINGGI Alimardonov Asrorjon Alimardonovich
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11737

Abstract

General Background: Uzbekistan's higher education sector has undergone extensive reforms in recent years, aligning institutional practices with global standards. Specific Background: Despite policy shifts toward digitalization, strategic planning, and international accreditation, the integration of modern management practices across institutions remains inconsistent. Knowledge Gap: Although global models such as KPI systems and distributed leadership are promoted, there is a lack of structured, context-sensitive studies examining their applicability within Uzbekistan's higher education system. Aims: This study investigates the implementation of strategic management, digital platforms, shared governance, and benchmarking in Uzbek universities to develop practical, localized management models. Results: Findings show progress in digital transformation and internationalization (e.g., widespread LMS adoption and accreditation gains), yet highlight deficits in leadership capacity, institutional strategy formulation, and integration of global best practices. Novelty: The research introduces a comprehensive framework that harmonizes strategic KPIs, digital tools, and participatory leadership while emphasizing the human dimension of management reform. Implications: The proposed model offers actionable policy recommendations that bridge global innovations with national realities, supporting sustainable modernization in higher education governance.Highlights: Strategic Planning is CrucialUniversities must move beyond “plans on paper” and adopt clear KPIs and feedback systems to drive real outcomes. Digital Management is the FutureIntegrated platforms (like LMS, ERP) are essential to synchronize education, finance, and HR systems for efficiency. Localized InternationalizationGlobal best practices should be adapted—not copied—into national contexts to ensure sustainable modernization. Keywords: Higher Education, Strategic Management, Digitalization, KPI Systems, Leadership

Page 160 of 239 | Total Record : 2389

 158   159   160   161   162 

Filter by Year

2019 2026


Reset
Filter By Issues
All Issue Vol. 11 No. 1 (2026): June Vol. 10 No. 2 (2025): December Vol. 10 No. 1 (2025): June Vol. 9 No. 2 (2024): December Vol. 9 No. 1 (2024): June Vol. 8 No. 2 (2023): December Vol. 8 No. 1 (2023): June Vol. 7 (2022): December Vol. 6 (2022): June Vol. 5 (2021): December Vol. 4 (2021): June Vol. 3 (2020): December Vol. 2 (2020): June Vol. 1 No. 2 (2019): December Vol. 1 No. 1 (2019): June More Issue