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Di era Industri 5.0, adaptabilitas tenaga kerja menjadi urgensi utama karena terjadinya pergeseran paradigma dari fokus pada otomatisasi dan efisiensi menuju kolaborasi harmonis antara manusia dan teknologi yang berpusat pada manusia (human-centric), berkelanjutan, dan resilien. Penelitian ini menggunakan metode Systematic Literature Review (SLR) terhadap 40 artikel jurnal nasional dan internasional yang diterbitkan tahun 2020–2025 dari basis data Google Scholar, Scopus, dan Garuda. Tujuan penelitian adalah mengidentifikasi strategi upskilling dan reskilling yang efektif sebagai mekanisme adaptabilitas tenaga kerja terhadap disrupsi AI dan otomatisasi. Hasil kajian menunjukkan bahwa: (1) kesenjangan keterampilan global merupakan ancaman nyata dengan 50% karyawan membutuhkan reskilling pada 2025; (2) strategi upskilling dan reskilling yang efektif mencakup pembelajaran berbasis proyek, microlearning, platform digital adaptif, dan kemitraan industri; (3) dukungan organisasi, kepemimpinan transformasional, dan budaya belajar berkelanjutan merupakan faktor penentu keberhasilan; serta (4) hambatan utama implementasi meliputi keterbatasan anggaran, resistensi perubahan, dan kesenjangan infrastruktur digital. Temuan ini menegaskan bahwa investasi pada pengembangan modal manusia melalui program upskilling dan reskilling merupakan imperatif strategis untuk menjaga ketahanan organisasi dan daya saing tenaga kerja di era transformasi digital.

This study aims to analyze the relationship between epistemology and scientific logic in the development of scientific knowledge using a library research approach by reviewing relevant literature in the fields of philosophy of science, theory of knowledge, and principles of scientific logic. The findings indicate that epistemology serves as a philosophical foundation for understanding the origin, structure, and validity of knowledge, while scientific logic functions as a systematic tool that guides reasoning in constructing rational and consistent scientific truth. Both have a complementary relationship, where epistemology provides a normative framework for determining the criteria of knowledge validity, and scientific logic ensures that the reasoning process is structured, coherent, and free from fallacies. Therefore, the integration of epistemology and scientific logic plays a crucial role in producing scientific knowledge that is objective, measurable, and academically accountable, while also enhancing the overall quality and credibility of the scientific process.

Poultry agribusiness is a key driver of food security and rural economic development in developing countries. However, the sector remains vulnerable to infectious diseases such as avian influenza and Newcastle disease, which can disrupt production systems and supply chain continuity. Although previous studies have examined poultry disease control, biosecurity, and supply chain disruption, evidence on how risk and crisis communication supports outbreak management and resilience in developing-country poultry agribusiness remains fragmented. This study applied a systematic literature review (SLR) approach under PRISMA guidelines to synthesize risk and crisis communication strategies in poultry disease management and their contribution to supply chain resilience. Only seven relevant studies published between 2020 and 2025 met the inclusion criteria and were analyzed using the PICO framework. Quality assessment using the Mixed Methods Appraisal Tool (MMAT), combined with systematic data extraction in Microsoft Excel 2021, was conducted to improve methodological transparency and consistency. The novelty of this review lies in integrating communication strategies, enabling and constraining factors, digital tools, One Health perspectives, and public–private collaboration within a single analytical synthesis. The findings indicate that participatory, transparent, and coordinated communication can support disease prevention and crisis preparedness, particularly when strengthened by stakeholder trust, policy support, training, and accessible information channels. However, limited digital literacy, inadequate infrastructure, and cultural barriers may reduce communication effectiveness. Overall, this review highlights the need for inclusive communication systems and collaborative governance to strengthen poultry supply chain resilience in developing countries, while recognizing that the small evidence base limits broad generalization.

The rapid growth of Solar Power Plant (PLTS) installations in Indonesia faces efficiency challenges due to the continuously changing position of the sun. Fixed panel systems cannot absorb solar radiation optimally throughout the day. This study aims to evaluate and compare the efficiency of various solar tracking system methods developed over the last five years using a simple literature review approach. The research method was conducted by collecting, screening, and synthesizing secondary data from five reputable scientific journals using a synthesis matrix. The review results indicate that single-axis tracking systems increase power efficiency by 15% to 24.5%. Meanwhile, dual-axis systems achieve higher efficiency, ranging from 30% to 35%, by tracking both horizontal and vertical solar movements. In terms of control systems, astronomical algorithms are found to be more reliable in cloudy weather conditions than pure light sensors. However, the internal power consumption of the actuator motors remains a critical factor that can reduce the system's net energy gain. The implication of this study emphasizes the importance of shifting future research focus toward energy-saving algorithm optimization to maximize net power yield in dynamic solar panel implementations.

Digital technology advancements have greatly changed how small businesses manage their finances. This change is not only about recording transactions, but it also affects financial control, report preparation, and business decision making. Accounting Information System (SIA) came about as a solution to help small and medium businesses easily, organize, and accurately record their finances, as well as provide reliable financial information. This study aims to explain the role of the Accounting Information System in making it easier to manage the finances of small and medium businesses in the digital age, the benefits gained from using it, and the challenges faced during its implementation. The method used in this research is a literature review, which involves examining books, journals, and other related scientific publications, followed by analysis using a descriptive qualitative approach. Research findings show that using a digital-based Accounting Information System can improve business efficiency, speed up financial reporting, increase transparency, and make it easier for small and medium-sized businesses to get funding access. However, the implementation of the Accounting Information System still faces challenges such as a lack of technological understanding, limited infrastructure, and high implementation costs. Therefore, collaboration and support from various parties are needed to ensure the accounting information system is implemented effectively and sustainably in small and medium businesses.

This review explores the integration of artificial intelligence in higher education, focusing on its impact on teaching and learning, barriers to adoption, and strategies for sustainable implementation. A narrative review of peer-reviewed literature published from 2023 to 2026 was conducted, emphasizing student and educator perspectives. The findings show that AI improves learning efficiency, supports personalized learning, and enhances academic writing, while also introducing concerns related to academic integrity, algorithmic bias, AI colonialism, and limited formal training. The review suggests that successful adoption depends on institutional support, AI literacy, ethical policy frameworks, and cross-disciplinary professional development. Generative AI should serve as an enhancer rather than a replacement in human-centered education.

Image Quality Assessment has become an important research area in computer vision due to the increasing use of digital imaging in medical, industrial, and remote sensing applications. This study conducted a Systematic Literature Review (SLR) using articles retrieved exclusively from the Scopus database. A total of fifteen Scopus-indexed articles were selected through the PRISMA process consisting of identification, screening, eligibility, and inclusion stages. The findings indicated that convolutional neural networks, transformer architectures, and no-reference approaches dominated recent studies because of their ability to capture complex visual features and improve evaluation accuracy. The application domain strongly influenced method selection, particularly in medical imaging, industrial quality control, and remote sensing. Deep learning methods achieved high performance but required large datasets and high computational resources. Overall, recent research trends shifted from traditional image enhancement toward artificial intelligence-based quality evaluation.

Pesatnya kemajuan teknologi digital telah mempercepat adopsi *Internet of Things* (IoT) dalam berbagai aspek kehidupan sehari-hari. IoT memungkinkan perangkat fisik untuk berkomunikasi dan bertukar data melalui konektivitas internet, sehingga proses menjadi lebih otomatis, efisien, dan responsif. Studi ini bertujuan untuk menganalisis pemanfaatan IoT dalam meningkatkan efisiensi kehidupan sehari-hari melalui pendekatan tinjauan pustaka. Metode penelitian yang digunakan adalah *Systematic Literature Review* (SLR), yang mengkaji dan menyintesis temuan dari berbagai studi terdahulu mengenai penerapan IoT di berbagai sektor, seperti rumah pintar (*smart home*), layanan kesehatan, transportasi, pertanian, dan pemantauan lingkungan. Hasil analisis menunjukkan bahwa IoT berkontribusi signifikan terhadap peningkatan efisiensi operasional, penghematan energi, perbaikan proses pengambilan keputusan, serta peningkatan kenyamanan pengguna. Terlepas dari berbagai manfaat tersebut, masih terdapat sejumlah tantangan, termasuk keamanan data, masalah privasi, interoperabilitas antarperangkat, biaya implementasi, dan ketergantungan pada infrastruktur internet yang stabil. Temuan studi ini menunjukkan bahwa IoT telah menjadi salah satu teknologi kunci yang mendukung transformasi digital dan peningkatan kualitas hidup. Pengembangan di masa mendatang diharapkan berfokus pada penguatan aspek keamanan, perluasan standar interoperabilitas, dan integrasi kecerdasan buatan (*artificial intelligence*) guna memaksimalkan efektivitas penerapan IoT dalam aktivitas sehari-hari.  

This study aims to analyze the implementation of Dayak local wisdom values in the Merdeka Curriculum at public elementary schools in Pulang Pisau Regency, Central Kalimantan. Dayak local wisdom, which encompasses values such as mutual cooperation, solidarity, tolerance, environmental awareness, and respect for cultural traditions, plays a significant role in shaping students' character amid the challenges of globalization and the disruptive era. This research employs a qualitative approach using a case study method. The research participants include school principals, teachers, students, and educational stakeholders from several public elementary schools in Pulang Pisau Regency. Data are collected through observations, in-depth interviews, documentation, and literature reviews. Data analysis is conducted using an interactive model consisting of data reduction, data display, and conclusion drawing. The findings are expected to provide a comprehensive description of how Dayak local wisdom values are integrated into the planning, implementation, and evaluation of learning activities within the Merdeka Curriculum framework. Furthermore, the study seeks to identify supporting and inhibiting factors affecting the implementation of local wisdom in educational practices and to formulate strategic recommendations for strengthening character education and preserving local culture in elementary schools. The results are expected to serve as a reference for educational policy development that promotes cultural preservation and enhances the quality of learning in accordance with the socio-cultural context of local communities.

The Free Health Check-up (CKG) is a government program designed to strengthen promotive and preventive health efforts through the early detection of risk factors, pre-disease conditions, and diseases across the community according to the life-cycle approach. As a relatively new initiative, the implementation of the CKG program in primary healthcare settings still requires further evaluation to assess implementation readiness, digital support systems, and community participation. This literature review aimed to examine the implementation of the Free Health Check-up Program in primary healthcare services. Relevant literature was retrieved from the Google Scholar database using the keyword "implementation of the free health check-up program" and was limited to open-access, full-text articles published between 2025 and 2026. The search identified eight eligible articles, which were extracted and analyzed in this review. The synthesis revealed three major themes in the implementation of the CKG program: (1) primary healthcare service readiness, (2) digitalization and reporting systems, and (3) community participation and communication strategies. Primary healthcare readiness includes the availability of human resources, infrastructure, medical equipment, consumable medical supplies, funding, service workflows, and cross-sectoral coordination. Digitalization through the SATUSEHATplatform and integrated reporting systems has the potential to improve service efficiency; however, challenges remain regarding digital literacy, internet connectivity, and the technical capacity of healthcare personnel. Community participation is influenced by knowledge, attitudes, the roles of community health volunteers, teachers, healthcare workers, and communication strategies tailored to the characteristics of the target population. The successful implementation of the CKG program requires strengthening primary healthcare systems, optimizing digital health platforms, and adopting community-based communication strategies to ensure the program is more effective, inclusive, and sustainable.

The development of digital technology has encouraged the use of social media as an efficient promotional tool for businesses, particularly micro, small, and medium enterprises (MSMEs). One type of content frequently used is video, as it can convey messages visually and engage audiences. However, inadequate content design can lead to low engagement rates on social media. This study aims to design social media-based video content to increase engagement at the Jilbab Ansania Semarang business. The method used in this research is Research and Development (R&D) with a Design and Development (D&D) approach, which includes the stages of needs analysis, design, development, implementation, and evaluation. Data collection techniques include observation, interviews, documentation, and literature review. The research results show that videos tailored to the target audience and social media platform can increase engagement. This is evident in the increase in likes, comments, shares, and views. Therefore, creating video content focused on social media has proven effective as a digital promotional tool to increase engagement for the Jilbab Ansania Semarang business.

Environmental pollution is a common problem in cities and can increase the likelihood of flooding. The purpose of this study is to analyze environmental pollution as a cause of flooding in the Pekapuran Street area, Depok City. This study applies a descriptive method with a qualitative approach. Data were obtained through observation, documentation, and literature review. Based on the results of the study, it was found that the accumulation of household waste around the drainage channels causes obstruction of water flow, which triggers flooding during rain. In addition, the shallow, mud-filled, and poorly maintained drainage conditions increase the risk of flooding. Low levels of public awareness of environmental cleanliness are also factors that exacerbate the condition. This study concludes that flooding on Pekapuran Street is influenced not only by high rainfall, but also by environmental pollution and a suboptimal drainage system. Based on this, better waste management and drainage maintenance are needed to minimize the risk of flooding in the area.

Changes in work patterns driven by digital technology development and post-pandemic dynamics have encouraged organizations to implement Work From Home (WFH) as an alternative working system. This policy has attracted considerable attention because it affects employee productivity and well-being, which are essential for organizational performance. However, previous studies have reported inconsistent findings regarding the effectiveness of WFH. Therefore, this study aims to analyze the impact of WFH on employee productivity and well-being. A qualitative approach was employee using the Systematic Literature Review (SLR) method by reviewing 19 scientific articles related to productivity, job satisfaction, work-life balance, and mental health. The findings show that 89,5% of articles reported positive effects of WFH through greater flexibility, work comfort, time efficiency, and improved work-life balance, wich contribute to higher productivity and well-being. Meanwhile, 10,5% identified negative effects due to inadequate work facilities, internet disruptions, burnout, and coordination difficulties. These findings indicate that WFH effectiveness is influenced by technological support, job characteristics, and organizational culture. The study implies that organizations should adopt adaptive work policies, strengthen digital infrastructure, and provide mental health support to optimize employee productivity and well-being.

The development of Artificial Intelligence (AI) has driven significant transformation in hospital management, particularly in operational efficiency, service quality, and patient safety. This study aims to analyze the implementation of AI in hospital management based on recent scientific evidence from 2020 to 2026. The method used was a systematic review guided by the PRISMA 2020 framework. Literature was retrieved from PubMed, ScienceDirect, SpringerLink, Google Scholar, and ProQuest. From 360 identified articles, a stepwise selection process was conducted, resulting in 15 articles that met the inclusion criteria. The findings indicate that AI contributes to improved operational efficiency through patient flow optimization, operating room management, workforce scheduling, and electronic medical record management. AI also enhances service quality through predictive data analytics and supports patient safety through risk detection and early warning systems. In conclusion, AI has strong strategic potential to support modern hospital management. However, its implementation still faces several challenges, including human resource readiness, data security, algorithmic bias, system interoperability, and investment requirements. Therefore, AI implementation should be carried out in a planned, ethical manner and evaluated from a health economics perspective.

The implementation of Electronic Medical Records (EMR) has become an essential part of digital transformation in the healthcare sector, aiming to improve the quality, effectiveness, efficiency, and continuity of healthcare services. In Indonesia, the implementation of EMR is supported by the Regulation of the Minister of Health Number 24 of 2022, which mandates healthcare facilities to adopt electronic medical records. However, the implementation process is often challenged by various technical and non-technical factors that may affect its success. This study aims to analyze the success factors and barriers to EMR implementation in hospitals through a literature review approach. The research method used was a literature review by examining and analyzing 11 scientific articles obtained from Google Scholar and other relevant scientific sources. The findings indicate that the success of EMR implementation is influenced by three main aspects, namely human, organizational, and technological factors. Supporting factors include management commitment, user readiness, continuous training, availability of information technology infrastructure, system quality, and organizational support. Meanwhile, common barriers include limited digital literacy among healthcare workers, insufficient information technology personnel, unstable internet connectivity, system errors, inadequate facilities and infrastructure, budget limitations, and the absence of specific standard operating procedures. Furthermore, EMR implementation provides significant benefits, such as improving service efficiency, facilitating access to patient information, enhancing documentation quality, supporting communication among healthcare professionals, and increasing patient safety. Therefore, successful EMR implementation requires synergy between human resources, organizational readiness, and technological infrastructure to achieve optimal healthcare service delivery.

This literature review analyzes the impact of data privacy issues on consumer usage intention in Indonesian e-commerce platforms. The study aims to map privacy threats and understand the phenomenon of the privacy paradox in the context of digital retail. Using a literature review method, this study synthesized findings from international journals published in the last five years from Scopus, Web of Science, and Google Scholar databases. The results show that excessive data collection, unauthorized secondary use, and data breaches significantly increase consumer privacy concerns. However, the research also confirms a privacy paradox, where consumers willingly share personal data to gain shopping convenience and promotions. The findings highlight that strong brand trust and a seamless user experience can effectively mitigate these privacy fears. Practically, this study recommends that e-commerce companies implement the Privacy by Design framework, utilize dynamic passwords (OTP), and provide transparent privacy settings as a competitive marketing advantage. Future research should explore specific regional demographics and the direct impact of new technologies like AI chatbots on consumer security perceptions.

This study aims to synthesize empirical and theoretical literature on the Planning–Organizing–Actuating–Controlling (POAC) framework in public sector management, identify asymmetries among its functions, and propose a reconfiguration of POAC that is relevant to digital and collaborative governance. The study employs an integrative literature review by examining classical management literature, peer-reviewed journals, government regulations, and official governance indicators. Data were analyzed thematically based on the four POAC functions and synthesized across themes, using Indonesia during the 2021–2025 period as the empirical context. The findings reveal that planning and organizing functions have developed relatively well, while actuating and especially controlling remain persistent weaknesses. This condition is reflected in improvements in several formal governance indicators, including the Electronic-Based Government System (SPBE) Index, Indonesia’s ranking in the E-Government Development Index (EGDI), Unqualified Audit Opinions (WTP), and public service compliance ratings. However, during the same period, the Corruption Perceptions Index (CPI) declined. These findings indicate a gap between administrative achievements and substantive outcomes, consistent with the concept of means–ends decoupling in neo-institutional theory. The study contributes by bridging classical management theory with contemporary governance paradigms and proposing a Data-driven, Networked, Adaptive, and Participatory (DNAP) model of POAC. Practically, the results highlight the need to strengthen controlling functions and adaptive leadership to foster more effective, transparent, and outcome-oriented public governance.

Identity politics has become one of the most debated concepts in contemporary democratic discourse, yet its conceptual boundaries remain poorly defined in both academic and public conversations. This paper argues that three commonly conflated terms political identity, identity politics, and the politicization of identity carry fundamentally distinct meanings with divergent normative and practical consequences. Through a conceptual literature review, this study synthesizes theoretical frameworks and empirical findings to demonstrate that while political identity refers to an individual's self-positioning within a political community, and identity politics denotes collective action by marginalized groups seeking recognition, the politicization of identity is an elite-driven strategy of exploiting social group markers for political gain. This distinction matters because the conflation of these terms obscures how digital platforms  through filter bubble and echo chamber mechanisms  amplify identity-based polarization in Indonesia and beyond. The study finds that social media algorithms do not merely reflect pre-existing social divisions but actively intensify affective polarization by constructing homogeneous information environments that deepen inter-group animosity. The paper concludes with implications for digital citizenship and democratic resilience in Indonesia.

The crisis of student morality and etiquette in higher education institutions has become an increasingly concerning phenomenon in the modern era. Social changes, the rapid development of digital technology, and the weakening The crisis of student morality and etiquette in higher education institutions has become an increasingly concerning phenomenon in the modern era. Social changes, the rapid development of digital technology, and the weakening internalization of religious values have contributed to a decline in students' moral character, which is reflected in poor communication ethics, lack of respect for lecturers, plagiarism practices, individualistic attitudes, and weak academic responsibility. This study aims to analyze the implementation of Islamic values in addressing the crisis of student etiquette at UIN Walisongo Semarang. The research employs a qualitative approach with a descriptive method through literature review, observation, and data collection from various scientific journals. The findings indicate that the implementation of Islamic values, such as akhlaq al-karimah (noble character), trustworthiness (amanah), discipline, Islamic brotherhood (ukhuwah Islamiyah), and responsibility, can serve as effective solutions in developing students' religious and ethical character. These values are implemented through spiritual development programs, an Islamic academic culture, lecturers' role modeling, Islamic student organization activities, and character education based on Islamic principles. This study emphasizes that the integration of Islamic values into the campus education system constitutes a strategic step in shaping a generation of Muslim intellectuals who excel not only academically but also possess strong morality and ethical conduct.

Educational evaluation is an essential part of the learning process, serving to measure the achievement of educational goals and to continuously improve the quality of learning. This study aims to analyze educational evaluation theory in learning, including the basic concepts of evaluation, evaluation models and approaches, and their relevance to 21st-century learning. The study employed a qualitative approach with the Systematic Literature Review (SLR) method through a review of various reputable international journals published between 2020 and 2025. Research data was obtained from various scientific sources such as Scopus, ScienceDirect, Springer, Taylor & Francis, and Sage Journals. The results show that educational evaluation theory is evolving from outcome-oriented evaluation to a more holistic, authentic, and competency-based evaluation. Evaluation models such as Goal-Oriented Evaluation, formative and summative evaluation, the CIPP model, authentic assessment, and diagnostic assessment play an important role in supporting modern learning. In addition, the integration of digital technology in learning evaluation provides opportunities to create a more adaptive and contextual assessment system.