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This systematic literature review examines research trends in problem-based learning (PBL) within blended learning contexts by analyzing 64 peer-reviewed articles from Scopus database published between2020-2024. Using PRISMA methodology, this study identifies key patterns including the dominance of medical education contexts (71.9%), the significant impact of COVID-19 pandemic on pedagogical innovations, and the prevalence of experimental research designs (34.4%). Findings reveal that blended learning emerged as the most researched approach (61%), followed by online/distance learning (23%) and flipped classroom models (11%). The analysis indicates increasing publication trends in 2022 and 2024, with Education Sciences and BMC Medical Education as leading publication venues. This review highlights research gaps in engineering and technology education contexts, limited exploration of long-term learning outcomes, and insufficient mixed-methods studies. These findings provide valuable insights for educators, researchers, and policymakers in designing effective learning strategies that integrate problem-based and blended learning approaches in diverse educational settings.

Social assistance programs are often a major concern during local elections. However, their impact on voter support for incumbents remains underexplored. This study analyzes how perceptions of social assistance influence voting behavior for incumbents in the 2024 Palangka Raya mayoral election. Using a sequential explanatory mixed methods design, the quantitative stage was conducted through a survey of 370 social assistance recipients and analyzed using PLS-SEM. The qualitative stage used 13 official documents and verified news reports to examine how social assistance was framed in the public sphere. The results show that perceptions of social assistance are the strongest predictor of the tendency to vote for incumbents, whereas political competition, demographic factors, and moderating effects are not significant. Qualitative analysis shows that social assistance issues are the most frequently mentioned theme in news reports and official documents, thereby reinforcing their relevance as a basis for evaluation by the beneficiaries. This study shows that voters tend to respond to the benefits of policies they perceive in determining their electoral choices, even within a public sphere that frequently raises issues of program politicization.

This study investigates the role of higher education institutions (HEIs) in strengthening social entrepreneurship ecosystems in Malang Raya, Indonesia. Using an explanatory sequential mixed-method design, quantitative data were collected from 100–150 respondents representing key ecosystem actors, including faculty members, students, social entrepreneurs, supporting institutions, and government stakeholders. Quantitative data were analyzed using Structural Equation Modeling (SEM) with LISREL software, while qualitative data from 15–25 key informants were analyzed thematically through in-depth interviews and focus group discussions (FGD). The study integrates Resource-Based View (RBV), Triple Helix Model, and Social Capital Theory to develop a comprehensive framework. Findings demonstrate that HEIs significantly influence ecosystem sustainability, although some relationships show non-significant effects due to external factors and institutional readiness. The study recommends implementing collaborative strategies based on the triple helix model and strengthening social capital to enhance the social entrepreneurship ecosystem. This research contributes to advancing community-based entrepreneurship theory and provides practical implications for policymakers and institutional leaders in Indonesia.

This study examines the integration of Islamic digital literacy into Islamic Religious Education (PAI) as a preventive effort against the negative impacts of social media on Generation Z. The background of this research arises from the increasing dependence of Gen Z on digital platforms, which significantly influences their religious understanding, behavior, and character development. The study aims to identify the level of students’ digital literacy, explore how PAI teachers integrate Islamic values into digital learning activities, and analyze the implications of this integration for students’ online behavior. Using a sequential explanatory mixed-methods design, quantitative data were collected through Likert-scale questionnaires, followed by qualitative data obtained from interviews and documentation. The findings reveal that Gen Z demonstrates high social media engagement but limited critical abilities in verifying online religious information, making them vulnerable to misinformation, moral degradation, and unhealthy digital habits. However, when PAI instruction incorporates Islamic digital literacy—such as tabayyun, ethical communication, and value-based content analysis—students show improved critical thinking, ethical awareness, and responsible social media use. The study concludes that integrating Islamic digital literacy into PAI provides a strategic educational framework to strengthen students' digital ethics, enhance their resilience against harmful online content, and promote a balanced, value-driven engagement with digital media.

Abstract. This study originates from the low awareness among early childhood learners regarding the importance of consuming nutritious and minimally processed Real Food. The purpose of this design project is to create an engaging educational medium in the form of a 2D animation titled “Kebun Imajinasi: Teman Realfoodku” to introduce the concept of Real Food to five-year-old children. A mixed-method approach (qualitative and quantitative) was applied through observation, interviews, and questionnaires involving children, parents, and professional animators. The collected data served as the foundation for designing characters, storylines, illustration styles, colors, and audio suitable for young audiences. The results show that 2D animation featuring bright visuals, playful characters, and educational narration effectively increases children’s interest and understanding of healthy food. The implication of this study highlights the potential of animation as an effective visual communication tool to promote nutritional education and healthy lifestyle habits from an early age.

Indonesia has extraordinary resources and potential in developing renewable energy sources (RES), but various obstacles must be overcome in implementing RES. The purpose of this study is to analyze the gap in the application of RES. This gap includes energy knowledge, community participation, battery waste management, service quality, regulation, and legal policy. This study uses a mixed-methods approach, by conducting a structured questionnaire in quantitative data collection, while qualitative data collection through special interviews, focused group discussions, and conducting policy regulation analysis. The results show that 62% of people do not understand RES, 28% are involved in project planning, and 74% are unaware of SOP (standard operating procedures) regarding battery waste recycling. The results of the correlation analysis reveal a positive relationship between the level of knowledge and interest in RES (R = 0.56). Also, the developed community-based participation model includes initial involvement, transparency of information, and local incentives. These findings further strengthen the compatibility of the innovation diffusion theory, planned behavior theory, SERVQUAL, and the theory of public interest. This study will make a practical contribution through evidence-based strategies in increasing resilience, especially for policymakers and energy service providers. The impact of the policy aspects includes the need for large reforms, education, public campaigns, and the realization of battery waste management systems. This study also provides an opportunity for further study by expanding the geographical scope and related industrial sectors.  

Effective collaboration is a strategic imperative for contemporary organizations, yet its success hinges critically on team dynamics and underlying psychological factors like Trust and Psychological Safety. The purpose of this Systematic Literature Review (SLR) was to synthesize empirical research published between 2020 and 2025 to clarify how these psychological factors influence collaboration and team performance. Following the PRISMA guidelines, a rigorous search on Google Scholar using keywords such as "team performance," "psychological factors," and "collaboration" resulted in the final inclusion of 15 articles for in-depth synthesis. Findings confirm that Trust is the most vital psychological construct, acting as a crucial mediator: it successfully transmits the positive effects of Transactional Leadership on employee performance and, conversely, mediates the detrimental effect of Toxic Leadership leading to Employee Silence. Leadership Soft Skills and Emotional Intelligence are identified as primary antecedents that build perceived trustworthiness, which, in turn, significantly reduces Turnover Intention. The review also highlights emerging contexts: trust is now influenced by Agent-Related Factors in Human-AI Teams (HATs), and unconventional factors like Corporate Comedy are found to positively contribute to Group Cohesion. However, contradictory findings regarding trust's role in Knowledge Sharing suggest a significant research gap. This SLR concludes that building psychological capital is fundamental to effective collaboration and recommends that future research utilize Structural Equation Modeling (SEM) to validate conceptual frameworks and employ mixed-methods approaches to resolve contextual conflicts within the literature.

This study aimed to design the visual identity of the social campaign FLOW (Find Lights Over Wounds) to promote early awareness of Post Traumatic Stress Disorder among Generation Z. A mixed method approach was applied to explore perceptions, knowledge, and the need for empathetic and communicative educational media. Data were collected through online questionnaires from 108 respondents and in-depth interviews with psychologists, psychiatrists, and PTSD survivors. The findings indicated that Generation Z required visual media that conveyed mental health messages safely and meaningfully. The FLOW logo was developed through brainstorming, sketching, and expert validation, featuring a heart and hands symbolizing empathy and healing. Soft blue, pink, and pastel yellow colors were used to create a calm, warm, and hopeful impression. The campaign effectively fostered emotional awareness and encouraged help-seeking behavior among young audiences.

Tax fairness has become a central concern in improving individual taxpayer compliance in Indonesia, particularly amid increasingly complex regulations and declining public trust in fiscal institutions. This study stems from the urgent need to understand how individual taxpayers interpret the notion of tax fairness and how these interpretations shape their willingness to comply. The primary objective is to explore the underlying dimensions of tax fairness procedural, distributive, and interactional and to explain how these dimensions relate to the development of voluntary compliance. Employing an interpretive qualitative approach, this research relies on in-depth interviews with 15 individual taxpayers located in Jakarta, Yogyakarta, and Medan, selected through purposive sampling. The data were examined using Interpretative Phenomenological Analysis (IPA) to uncover recurring themes and the subjective experiences shared by participants. Findings reveal that perceptions of procedural and interactional fairness exert the strongest influence on compliance behavior, while distributive fairness is often viewed negatively due to perceived inequality in public benefit allocation and the complexity of tax rules. Trust in government and social morality emerge as critical mediators linking fairness perceptions to voluntary compliance. The study contributes theoretically by integrating Equity Theory, Tax Morale Theory, and the Slippery Slope Framework within the Indonesian cultural context, emphasizing that tax fairness forms the moral foundation of voluntary compliance. Practical implications highlight the need for equitable public services, stronger fiscal transparency, and value-based tax education. Future research is encouraged to adopt mixed-methods designs to provide deeper quantitative insights into the relationship between fairness, trust, and tax compliance across diverse social settings.

This study examines the effectiveness of digital storytelling in enhancing the speaking skills of secondary EFL learners. The research responds to persistent challenges in speaking instruction, particularly students’ limited fluency, low confidence, and insufficient exposure to meaningful communicative tasks. Using a mixed methods design, the study involved an eight week intervention in which students created scripted digital stories through narration, multimedia editing, and collaborative production. Quantitative data were collected through pre-test and post-test assessments measuring fluency, pronunciation, vocabulary, and coherence, while qualitative data were obtained through observations, interviews, and student reflections. The findings reveal substantial improvements in speaking performance, especially in fluency and coherence, accompanied by increased engagement, reduced speaking anxiety, and heightened self awareness during the storytelling process. These results highlight that digital storytelling provides repeated oral practice and authentic communicative opportunities that support learners’ linguistic and affective development. The study offers implications for English teachers and curriculum designers by demonstrating that technology supported narrative tasks can be integrated into regular instruction to foster more interactive, creative, and student centered speaking learning environments.

This research program aimed to improve farmers’ understanding of the Jajar Legowo rice planting system and to analyze the factors influencing their perceptions. The program was conducted with the Sukatani Farmer Group in Tukdana Village, Indramayu Regency, using a mixed-method approach that combined observation, interviews, and questionnaires with 30 farmers. The results showed that farmers’ knowledge of the Jajar Legowo system was relatively low (54.17%), while their attitude was in the moderate category (58.92%). Correlation analysis revealed a strong relationship between knowledge and attitude (r = 0.672), which together shaped farmers’ perceptions of the system. Further analysis indicated that only land area had a significant influence on farmers’ perceptions, while age and education level showed no significant effect. Qualitative findings also revealed that farmers’ perceptions were influenced by direct farming experience, agricultural extension activities, institutional support, and social influence from leading farmers. Based on these findings, efforts to increase the adoption of the Jajar Legowo planting system require participatory extension strategies, hands-on demonstrations, and strengthened farmer group involvement.

This study aims to compare the thermal efficiency of two aluminum and iron-based pans in the water heating process. This research method uses a mixed approach that includes direct observation (qualitative) and quantitative analysis based on changes in water temperature after heating at two volume variations, namely 0.25 L and 0.5 L. Heating was carried out with two time differences, the total of each experiment was four experiments, with two experiments for five minutes and also two experiments for ten minutes. The results showed that iron pans produced heat of 66,150 J at a volume of 0.25 L and 151,200 J at a volume of 0.5 L. Meanwhile, an aluminum pan could produce heat of 53,550 J at a volume of 0.25 L and 67,200 J at a volume of 0.5 L. The difference in heat value was influenced by the thermal conductivity and physical characteristics of each material. This study provides an understanding of the thermal performance of both pot materials and can be considered in the selection of efficient cooking utensils in the household environment.

This study investigates the clinical handover process as a critical component of patient safety and healthcare service quality in hospital settings. Inconsistent communication, incomplete documentation, and the absence of standardized procedures were identified as major problems contributing to communication failures and potential adverse events. The objective of this research was to develop and test a structured and effective handover model that could improve communication accuracy and documentation reliability among healthcare professionals. A mixed methods design was employed, consisting of a qualitative phase (in-depth interviews, observations, and document analysis) to explore real-world handover practices, followed by a quantitative phase using a pretest–posttest design to evaluate the effectiveness of the proposed model. The study proposes an integrated handover model based on SBAR-IM (Situation, Background, Assessment, Recommendation, Intervention, Monitoring) strengthened by Quality Control (QC) and Mutual Confirmation (MC) mechanisms. The findings demonstrate a significant improvement in handover quality after implementation, with communication scores increasing from 74 to 84.5 and documentation scores improving from 48.3 to 63.0 (p < 0.05). Qualitative results further revealed reduced communication errors, improved clarity of clinical information, and enhanced interprofessional collaboration. This study concludes that the proposed SBAR-IM–based QC–MC model is effective, practical, and suitable for improving patient safety and healthcare service quality in hospital environments.

Digital transformation through Artificial Intelligence (AI) is imperative for public services, but its implementation in Indonesia faces various challenges. This study analyses the readiness level of the Indonesian bureaucracy and the role of adaptation strategies as a mediating mechanism for successful AI implementation. Using explanatory sequential mixed methods, the study involved 287 respondents from 68 government agencies using PLS-SEM analysis, followed by in-depth interviews with 33 informants from 11 agencies for qualitative exploration. The results indicate that the readiness of the Indonesian bureaucracy is in the moderate category, with human resource readiness as the most critical weakness. PLS analysis confirmed that all readiness dimensions significantly influence adaptation strategies, with human resource readiness as the strongest predictor. Adaptation strategies partially mediated the readiness-implementation relationship, explaining 70.4% of the variance in AI implementation. Qualitative findings identified effective strategies: phased pilot projects, change management through champions, continuous capacity building, incremental implementation, and adaptive governance. Structural barriers include rigid regulations, silo mentality, and political turnover. The study produced the ARSI Framework as a practical guide for AI implementation in the Indonesian public sector, emphasising the importance of strategic execution in translating readiness into successful implementation.

Electronic Medical Record (EMR) is an essential component of hospital digital transformation aimed at improving administrative efficiency and service quality. This study aims to analyze the factors influencing the implementation of EMR in outpatient registration at a private hospital in North Jakarta. A mixed-methods design was employed, combining quantitative data collected from questionnaires completed by 30 registration staff with qualitative data obtained through structured interviews and direct observation. The logistic regression analysis revealed that Training and Staff Competence (X2) had a significant positive effect on outpatient registration (OR 30.663; p=0.040), while System Integration and Data Security (X4) also showed a significant effect (OR 15.121; p=0.047). In contrast, Technological Infrastructure Readiness (X1) was positive but not significant (p=0.112), and Organizational Culture and Managerial Support (X3) was negative and not significant (p=0.954). Simultaneously, the model explained 72.1% of the variation in registration effectiveness (Nagelkerke R²=0.721) with a classification accuracy of 93.3%. Qualitative findings supported the quantitative results, highlighting insufficient staff training, persistent technical issues in BPJS system bridging, and difficulties faced by elderly patients in adapting to digital registration. Elderly patients still required staff assistance and simple educational media such as tutorial videos displayed in hospital waiting areas. This study concludes that staff competence and system integration are the key determinants of successful EMR implementation in outpatient registration. It is recommended that hospitals strengthen continuous training programs, improve network and server stability, and expand patient education initiatives to ensure effective, efficient, and patient-friendly digital services.

This study examines the phenomenon of code-mixing among Generation Z in Banjarmasin, particularly in The comments section of TikTok content, which has become a primary digital expression space for young People. The aim of this study was to identify the forms, patterns, and social and cultural factors underlying This linguistic practice. Using descriptive qualitative methods with listening and note-taking techniques, Information was collected from comments on two TikTok posts on the accounts @BudRab and @Fazarbungaz. The findings indicate that the code-mixing that occurred was dominated by the insertion Of Banjarese elements into Indonesian (Banjar-Indonesian code-mixing), as well as a mixture of Banjarese, Indonesian, and English (Outer Code-mixing and Mixed Code-mixing). The forms of code-mixing found Included the insertion of Banjarese words, phrases, and lexical items such as kd (kada), makai, and mun. An analysis of the functions of code-mixing shows that this practice has a dual role: referential (for specific Local contexts), directive (to guide conversations), emotive/expressive (to indicate emotional closeness, for Example, longitude), and most importantly, as a marker of digital identity and cultural solidarity among Banjar speakers in the digital realm. This phenomenon confirms that social media serves as a new, flexible and essential space for the Banjar language to survive and negotiate with global and national languages. This study contributes to sociolinguistics by mapping the dynamics of language evolution among Gen Z in A digital context, highlighting the creative and social aspects of code-mixing.

Air pollution is an increasingly serious environmental issue in major cities, including Serang City. The decline in air quality due to motor vehicle emissions, industrial activities, waste incineration, and the reduction of green open spaces harms public health and the environment. Polluted air can cause respiratory problems, reduce the quality of life, and threaten urban ecosystems. This study aims to analyze the level of knowledge, perceptions, and behaviors of Serang City residents regarding air pollution, as well as assess their support for air pollution control policies. The methods used include a mixed-method approach through questionnaires, in-depth interviews, and participatory observation. The results of the study show that the community has a good understanding of the sources of air pollution, particularly vehicle and industrial emissions. They are also aware of the impact of pollution on health, especially for children and the elderly. However, the implementation of protective behaviors such as wearing masks is not yet consistent. Some positive behaviors have begun to develop, such as not burning trash and planting plants at home. Support for pollution control policies is also high. This study emphasizes the importance of continuous education, law enforcement, and collaboration between the government, society, and environmental communities in efforts to mitigate air pollution in Serang City.  

The development of information technology in the era of globalization continues to accelerate. This has brought significant changes in various fields, one of which is online business, namely e-commerce. This study aims to analyze competition and provide optimal strategies for Shopee and Tokopedia in addressing their dependence on subsidies and large-scale discounts, so that both platforms can remain competitive effectively without experiencing a decline in profit margins. The research method used is a quantitative approach with a survey research method. The data used is primary data analyzed using Game Theory with Pure Strategy, Mixed Strategy, and Linear Programming. The results show that Shopee obtained optimal strategies for Price (proportion 0.3568) and Product Completeness (proportion 0.6427). Meanwhile, Tokopedia obtained optimal strategies for Promotion (proportion 0.3568) and Product Completeness (proportion 0.6427). The implication of this study is that companies can use the optimal strategies obtained to overcome their dependence on subsidies and large-scale discounts, which result in declining profit margins for both platforms.

This research is motivated by the significance of inclusive education as a way to guarantee access and equity for students with special needs in Sidoarjo Regency. Even with robust national policies advocating for inclusive schools, their impact at the regional level is still not thoroughly examined. This study aims to assess the impact of inclusive school initiatives on enhancing educational access and equity of services. The aims are to (1) evaluate the access rates of students with special needs to both formal and non-formal education; (2) analyze equity of services in relation to facilities, teaching standards, and learning results; (3) pinpoint factors that facilitate and hinder implementation; and (4) develop policy suggestions for enhancing equitable services. The research utilizes a mixed-methods strategy incorporating a sequential explanatory framework that integrates quantitative survey information from 30 schools along with qualitative interviews conducted with policymakers, educators, and parents. The results show that the success of inclusive programs in Sidoarjo is intermediate, with significant differences between urban and rural schools. Leadership, teacher effectiveness, and collaboration across sectors stand out as crucial factors for success. The research indicates that maintaining inclusive education necessitates regional policy coordination, development of human resources, and data-driven monitoring to guarantee equity and equal learning chances for every student

This study investigates the impact of equity crowdfunding on significant infrastructure projects in Indonesia, with a focus on those that fall under the regulatory framework outlined in POJK No. 37/POJK.04/2018. It addresses the following research question: How does equity crowdfunding contribute to Indonesia's infrastructure financing? Its narrow focus on the use of crowdfunding for infrastructure fills a gap in the literature, which often lacks empirical research unique to Indonesia. Using a mixed-method approach that combines qualitative insights from stakeholder interviews with quantitative analysis of crowdfunding data, the study finds that although equity crowdfunding has the potential to mobilize capital for infrastructure, obstacles include investor protection, regulatory compliance, and project scalability. The study emphasizes the crucial role of regulatory frameworks and specially designed financial products in determining the outcomes of crowdfunding. In the end, the study recommends changing policy to create an atmosphere that is favorable to crowdfunding, improving financial, and aiding Indonesia's sustainable development goals.