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This study explores the transformative potential of sustainable business models (SBMs) in driving social and environmental value creation across industries. Employing a mixed-method approach, the research integrates qualitative interviews with 30 key informants and quantitative analysis of industry-specific data to provide comprehensive insights. The findings reveal that implementing SBMs leads to significant reductions in carbon emissions, improved resource efficiency, and enhanced stakeholder engagement. Key enablers include the adoption of circular economy principles and collaborative stakeholder strategies, while challenges such as regulatory inconsistencies and high initial investment costs persist. The results align with theoretical frameworks like the Triple Bottom Line and Resource-Based View, emphasizing the need for balanced economic, social, and environmental outcomes. This study concludes by offering actionable recommendations for policymakers and business leaders, including fostering inclusivity, enhancing policy clarity, and promoting innovation to overcome barriers. The findings contribute to advancing knowledge on sustainable practices and supporting global sustainability initiatives.

PT Gapura Angkasa is one of the aviation companies whose business includes ground handling services. At Zainuddin Abdul Madjid Lombok International Airport, PT Gapura Angkasa handles ground handling for Garuda, Citilink, and Sriwijaya Air. Aircraft essentially transport passengers, baggage, cargo, and mail. Airlines are responsible for checked baggage entrusted by passengers. Regarding baggage, many passengers often experience issues such as lost, damaged, delayed, or mixed-up baggage. The unit responsible for handling problematic baggage is the Lost and Found unit. This research aims to evaluate the performance of the Lost and Found Unit in managing baggage issues. The study uses a qualitative method. The subjects of this research are the Lost and Found Unit at PT Gapura Angkasa Pura, Zainuddin Abdul Madjid Lombok International Airport Branch. Data for the research is obtained from primary sources, including observations and interviews, and secondary sources, such as photos/images and company records as well as Standard Operating Procedures (SOPs). Data credibility is tested through triangulation. Data analysis is performed through data reduction, data examination, and conclusion drawing. The research results show that the responsibility of the carrier towards problematic baggage at the Lost and Found Unit of PT Gapura Angkasa is carried out comprehensively, including steps for receiving reports, identifying, documenting, storing, and coordinating with airlines according to the applicable Standard Operating Procedures. However, there are still challenges, such as delays in tracking and returning baggage that need improvement. The carrier's responsibility for problematic baggage is in line with the regulations stipulated in PM No. 77 of 2011 concerning the procedures for managing and the responsibility for problematic baggage, including handling damaged, delayed, and lost baggage.

This study aims to analyze the effectiveness of collaborative learning in enhancing business communication skills among management students. The research involved 60 undergraduate management students at STIE Ganesha, enrolled in Business Introduction and Business English courses. Conducted over four months (February–May 2025), the study employed a mixed-method approach, including quantitative and qualitative data collection. Data were gathered through questionnaires, interviews, and classroom observations. Descriptive statistics, regression analysis, and thematic coding were used to analyze the data. The results show that 78% of students gained greater confidence in presenting ideas, 65% improved their use of business terminology, and 70% became more active listeners. Regression analysis confirmed a significant influence of collaborative learning on communication skills (p < 0.05). Qualitative findings emphasized the importance of lecturers’ facilitation in managing group dynamics and addressing dominance issues among students. The study suggests that the integration of collaborative learning methods into the management curriculum is crucial for enhancing students' soft skills, preparing them for future professional challenges. Additionally, it advocates for the development of structured collaborative activities to promote effective teamwork, active engagement, and better communication outcomes in academic settings, ultimately contributing to students' overall personal and professional growth.

Learning discipline is a crucial component that helps students meet their learning objectives, particularly when it comes to honing their critical thinking abilities. The purpose of this study is to examine how learning discipline affects Jakartan high school and vocational high school students' critical thinking abilities. A quantitative approach using a descriptive associative design is the study methodology employed. The sampling procedure was carried out unintentionally mixed with non-probability methods. A Likert scale questionnaire with 40 students as respondents was used to collect the data. The findings demonstrated that, partially and concurrently, studying discipline has a favorable and considerable impact on students' critical thinking abilities. With a t count of 6.176 and a F significance value of 0.000, the positive correlation value is 0.708. According to the analysis of the coefficient of determination (R-Square), learning discipline has a 50.1% impact on critical thinking abilities, with other factors influencing the remaining percentage.

Many people utilize social media to interact, including students who are the most technologically literate. Apart from having a positive impact on its users, social media also has a negative impact. One of the negative impacts of social media is the increased risk of personal data security. The purpose of this study is to analyze the level of awareness of students in Yogyakarta regarding the protection of personal data on social media. The method used is mixed method, surveys were distributed to respondents, namely students from various schools in Yogyakarta. Researchers also conducted interviews with 15 participants to get a more in-depth picture. This research examines the level of understanding and awareness of students in Yogyakarta regarding how they understand data sharing behavior, privacy settings and their perceptions of threats or risks in cyberspace. The results showed that the majority of students have a high level of awareness regarding basic privacy measures, but they also have a poor understanding of the threats and risks associated with sharing personal data.The majority of students rarely update their privacy settings. They only use the default settings built into social media. The implication of the study is the need to integrate digital literacy programs that focus on data security and privacy into the school curriculum. The conclusion is that there is awareness among students regarding the importance of protecting personal data, but more efforts are needed to improve students' knowledge in digital privacy management. Further research is needed to assess the long-term impact of educational interventions on privacy-conscious behavior in the digital world.

Language plays a crucial role in human daily activities. In using language, people cannot avoid using various language varieties that reflect the context and social background of the speakers. Therefore, the importance of sociolinguistic studies has a major influence in recognizing language variations that emerge in communication, especially in the digital space. This study aims to examine the language variations used in comments on the Instagram account of Nur Rofiah, a public figure who is known to be active in voicing gender justice issues from an Islamic perspective. This study uses a sociolinguistic approach to identify forms of language variation and the social factors that influence them. Data were collected through documentation methods on comments on a number of Nur Rofiah's uploads that were considered representative. The results of the study show that there are various language variations, including variations based on dialect, level of formality, use of mixed language (code-mixing), and emotive varieties that reflect the identity and social background of the user. In addition, it was found that factors such as age, gender, educational background, and ideological orientation also influence language choices in digital interactions. These findings indicate that social media is not only a communication space, but also an arena for expressing people's social and ideological identities.

This study aims to provide a new understanding for people who are interested in the parousia of Christ as the resurrection of man. The location of this study was at the GKPI Jemaat Khusus Pandumaan, and used a mixed method, namely quantitative, distributing questionnaires to randomly selected respondents, and qualitative, interviewing people who were considered qualified by the researcher. It is interesting that the congregation of the GKPI Jemaat Khusus Pandumaan believes that the parousia of Christ will occur but they do not understand what its function is for them, both between the relationship between the parousia of Christ and the resurrection of man from the dead in the future. Referring to a conclusion, the Parousia of Christ is a resurrection for man because after man dies the flesh and spirit are separated and then the spirit stops until the parousia takes place, then the dead man is resurrected. So to every local church, especially the pastor who functions as the leader of the church, to study this teaching more deeply so that church members know the meaning and purpose of the parousia of Christ.

The effectiveness of the Windows Shopping strategy in enhancing the speech writing abilities of eighth-grade students at four government junior high schools in Cilacap Regency, Indonesia, is examined in this study. The study is based on the demand for novel instructional methods that assist students with the challenges of arranging thoughts, choosing the right vocabulary, and creating well-written sentences while writing speeches. The study used a mixed methods approach with an explanatory sequential design, consisting of pretests and posttests administered to 128 pupils, along with qualitative data from observations, interviews, and reflections. With average scores rising from 61. 63 (pretest) to 81. 97 (posttest), the results showed a notable improvement in students' performance. The statistical significance was confirmed by a paired sample t-test (t = 11. 52, p = 9. 83 × 10⁻¹³). Qualitative data also showed that students were more engaged, creative, and confident during group learning sessions. The Windows Shopping method, in accordance with social constructivist learning principles, encouraged students to actively explore, present, and reconstruct information through group interaction. This approach, according to the study, is effective in improving students' speech writing abilities and promoting essential 21st century skills such as creativity, collaboration, and communication. It should be used more widely in other text-based language instruction as well.

Regional tourism development is a crucial strategy for driving local economic growth and preserving cultural heritage. However, field conditions often reveal that policy implementation does not always proceed optimally. The Sekarsari Bathing Area in Mojokerto City is one of the tourism sites targeted by development policies, yet it has not demonstrated significant impact on community welfare or tourism attractiveness. This study aims to evaluate the implementation of regional tourism development policies at the Sekarsari site using William N. Dunn’s policy evaluation theory, which includes six criteria: effectiveness, efficiency, adequacy, equity, responsiveness, and appropriateness. This research adopts a qualitative approach with a case study design. Data were collected through in-depth interviews, field observations, and document analysis from various stakeholders such as the tourism office, site managers, local businesses, and community members. The research instruments were developed flexibly and iteratively according to field dynamics. Data analysis was conducted through data reduction, data display, and conclusion drawing in an interactive manner. The findings reveal that the tourism development policy at Sekarsari has not yet yielded optimal outcomes. The main weaknesses lie in the lack of community participation, uneven distribution of economic benefits, and limited innovation and promotion. Although there have been improvements in basic infrastructure and a modest increase in visitor numbers, the policy has not been fully responsive to local needs. In conclusion, the current policy does not fully meet Dunn’s six evaluation criteria and requires revisions in both strategic planning and technical implementation. This study recommends that future tourism policies be more community-based, inclusive, and adaptive to local contexts. For future research, a mixed-methods approach involving quantitative and geospatial analysis is suggested to strengthen comprehensive evaluative evidence.    

Robusta coffee (Coffea canephora) is one of Indonesia’s important agricultural commodities with strong economic potential. However, optimizing its productivity depends heavily on proper cultivation practices, particularly pruning, which significantly affects plant health and fruit yield. This study focused on the Women's Farmer Group (Kelompok Wanita Tani/KWT) in PTPN 1 Regional V Kebun Bangelan, East Java, which faced challenges due to limited skills and knowledge in coffee pruning. A community-based agricultural extension program was implemented to enhance their technical capabilities and ensure compliance with standard operating procedures (SOP) for effective pruning. The objectives were to identify key issues in pruning practices, deliver targeted training, and evaluate the outcomes. Using a mixed-methods approach—comprising participatory observation, structured interviews, focus group discussions (FGD), and a pre-test/post-test comparison—the study assessed knowledge gains and training impact. A Likert-scale survey further measured participant satisfaction. Findings revealed four main issues: low SOP adherence, lack of training, poor tool maintenance, and plant morphological constraints. Post-intervention, participant knowledge rose from 49% to 97%, a 48% improvement. Additionally, 71.88% of respondents rated the training positively. This indicates that structured, practical training significantly improved pruning skills, contributing to better agricultural practices and productivity in smallholder communities.

This study conducts an in-depth examination of 87 mixed-method studies that address war-related trauma in the Middle East over the past two decades (2000–2023), employing a systematic methodological meta-synthesis approach to formulate a more comprehensive understanding of the impact of armed conflict on affected populations. Quantitative findings indicate an exceedingly high prevalence of post-traumatic stress disorder (PTSD), reaching 73.4% among war refugees (n = 12,456), accompanied by significant comorbidity rates in the form of depression (68.2%) and anxiety disorders (59.7%), both of which clinically exacerbate recovery prognosis. Meanwhile, the thematic qualitative analysis successfully identified five principal dimensions of recurrent traumatic experiences, namely direct exposure to violence (82.3%), the loss of family members (76.9%), forced displacement (71.4%), existential uncertainty regarding the future (68.9%), and the disintegration of social cohesion within affected communities (65.2%). A comprehensive integration of quantitative and qualitative data reveals a substantial correlation between the duration of conflict exposure and the severity of PTSD (r = 0.78, p < 0.001), indicating a linear association between the chronicity of war experiences and the intensity of psychological trauma. Through meta-regression, this study also identifies several statistically significant protective variables that reinforce both individual and collective resilience, including the presence of family support (β = 0.45, p < 0.001), the intensity of religiosity (β = 0.38, p < 0.01), and the strength of community resilience (β = 0.42, p < 0.001), all of which function as moderating factors of traumatic impact. In contrast to the narrow focus of Storozhuk et al. (2023) and Boeije et al. (2013), who emphasized individual trauma, this study advances a broadened paradigm by exploring the collective dimensions of war trauma made possible through an integrative methodological design. While Zerach and Solomon (2016) previously proposed three core categories of traumatic experience, the present study expands the conceptual spectrum by identifying two additional themes and unveiling the complex network of interrelations among trauma elements. The principal novelty of this study lies in the formulation of an integrative model of war trauma that not only theoretically unifies individual and collective dynamics but also constructs a new methodological framework that may serve as a reference point for trauma research in conflict-affected regions marked by the volatile and multidimensional sociopolitical context of the Middle East.

This research analyses the implementation of Challenge-Based Learning (CBL) at Algerian universities and its potential for encouraging undergraduate learners to academically acquire learning, enhancing self-regulated learning strategies, and enhancing interdisciplinarity collaboration. This research adopted the mixed-method approach and used a quantitative tool (the Motivated Strategies for Learning Questionnaire (MSLQ)) and obtained qualitative data through reflective journals, interviews, and classroom observation. Outcomes show that CBL greatly affects enhancing students' motivation and supporting self-directed actions such as goal-setting, time management, and metacognitive processing. Interdisciplinary cooperation was also determined to be supportive for student engagement and problem-solving capacity. Students and instructors predominantly reported positive opinions regarding CBL, highlighting the relevancy, authenticity, and cooperation aspects of CBL. These findings validate the four study hypotheses and endorse the pedagogical shift towards active, student-centered learning in Algerian universities. The research concludes with strategic suggestions to institutionalize CBL, reassess assessment practices, and encourage professional development in support of the faculty utilizing this new pedagogy.

Mental health is an important indicator of the overall public health status. Mental health surveillance through screening serves as a strategy for early detection of mental disorders and continuous case monitoring. In Indonesia, approximately 630,827 individuals or about 2.0% of the population aged >15 years are reported to have mental health problems based on provincial data. This study was conducted at Cilembang Public Health Center, Tasikmalaya City, using a mixed-method approach that combines quantitative and qualitative methods. The quantitative sample was selected using total sampling, involving 35 new cases of people with mental disorders (ODGJ) recorded in 2024. Meanwhile, qualitative subjects were selected through purposive sampling, involving surveillance officers engaged in the mental health program. The qualitative findings cover the input, process, and output components of the surveillance implementation. Results show that the mental health surveillance program at Cilembang PHC is supported by various health personnel, funding from the BOK program, and the SIMKESWA digital system integrated with the Ministry of Health. Active surveillance is carried out through community and school screenings using the SDQ and SRQ-20 instruments, followed by diagnosis, counseling, and initial management. The program exceeded the target for identifying severe ODGJ cases. However, screening among individuals aged ≥15 years has not been optimally implemented due to competing program priorities.

This meta-methodological study evaluates 127 research articles on war-induced trauma in the Middle East, published between 2000 and 2023, with the aim of developing a methodological standardization framework capable of addressing the region-specific contextual complexity. The findings reveal a marked degree of heterogeneity in the methodological approaches employed (χ² = 78.45, p < .001), with 42.5% of the studies utilizing cross-sectional designs, 28.3% employing longitudinal methods, and 29.2% adopting mixed-methods approaches. Meta-regression analysis indicates a highly significant correlation between methodological rigor and the validity of research findings (r = .78, p < .001), reinforcing the importance of consistency in study design. The evaluation of instrument reliability reveals significant variation (α = .65–.92), with instruments based on DSM-5 criteria demonstrating the highest level of internal consistency (M = .86, SD = .08). Further analysis identifies five core components as critical in the methodological structuring of trauma studies within Middle Eastern conflict zones, namely cultural validation of instruments (β = .45, p < .001), data source triangulation (OR = 2.34, 95% CI [1.87–2.81]), contextualization of traumatic experience (R² = .56), sensitivity to conflict dynamics (κ = .82), and the application of ethics tailored to the local context (ICC = .79). These findings extend the work of Bush and Duggan (2013) on methodological biases rooted in Western epistemologies. Additionally, they advance the conclusions of Patel and Hall (2021) regarding the absence of cultural validity in cross-conflict studies, as this research introduces an integrated methodological framework that systematically synthesizes local perspectives with international scientific standards. The primary contribution of this study lies in the development of the Trauma Research Standardization Index (TRSI), a newly designed instrument intended to assess methodological alignment with the specific conflict context of the Middle East. The TRSI demonstrates verified construct validity (construct = .88) and high test-retest reliability (.92), making it a potentially valuable tool in standardizing trauma research across Middle Eastern contexts.

This study aims to assess how the development and tourism potential of Parepare City are perceived by the local community. Using a mixed-method approach (qualitative and quantitative), this research analyzes five main components (A5): Attraction, Amenities, Ancillary Services, Activities, and Accessibility, utilizing the Weighted Analysis technique (Likert Scale) to provide a structured evaluation. The findings indicate that public perceptions of tourism development vary. Artificial attractions received high ratings and are considered a key strength. Regarding amenities, the availability of places of worship was rated as the most adequate. However, in ancillary services, facilities such as clean water, electricity, and culinary services still require improvement. In terms of activities, events like festivals and recreational activities were deemed to be suboptimal in terms of implementation, management, and the involvement of local SMEs. Meanwhile, in the accessibility component, institutions such as Pokdarwis have not been effectively implemented. Therefore, a development strategy is needed that actively involves the community through training and empowerment, as well as continuous support from the government. Infrastructure improvement and regular evaluations are essential steps to enhance tourist interest in visiting Parepare City.

Despite their 45% contribution to the global economy, international micro, small, and medium-sized enterprises (MSMEs) face considerable obstacles in enhancing their global competitiveness because they lack the resources and access to efficient market analysis (OECD, 2025). In order to optimize cross-border MSME market analysis, this research attempts to construct a machine learning (ML) model coupled with a mixed-methods approach. A combination of quantitative (XGBoost and SEM-AMOS were used to analyze transaction data of 500 Indonesian export MSMEs 2020–2024) and qualitative (interviews with 15 MSME players) methods showed that the XGBoost model achieved 89% accuracy in predicting market trends, with key variables including exchange rate fluctuations (19%) and social media sentiment (28%). According to qualitative findings, the ML model does not identify cross-border regulatory constraints that 65% of MSMEs must deal with. These results validate market intelligence powered by AI as a strategic asset, extending the Resource-Based View paradigm. The significance of contextual adaptation and technological integration in the digital transformation of MSMEs is emphasized by this study.

International Micro, Small and Medium Enterprises (MSMEs) face significant challenges in improving global competitiveness due to limited resources and access to effective market analysis, despite contributing 45% to the global economy (OECD, 2025). This research aims to develop an integrated machine learning (ML) model with a mixed-methods approach to optimise cross-border MSME market analysis. A combination of quantitative (transaction data analysis of 500 Indonesian export MSMEs 2020-2024 using XGBoost and SEM-AMOS) and qualitative (interviews with 15 MSME players) methods revealed that the XGBoost model achieved 89% accuracy in predicting market trends, with key variables including social media sentiment (28%) and exchange rate fluctuations (19%). Qualitative results show that 65% of MSMEs face cross-border regulatory barriers that ML models do not detect. The findings extend the Resource-Based View theory by validating AI-driven market intelligence as a strategic asset (β = 0.67, p 0.7. This research highlights the importance of technology integration and contextual adaptation in the digital transformation of MSMEs.

The advancement of artificial intelligence (AI) technology has transformed the paradigm of shopping experiences on e-commerce platforms. This article examines the future of AI-powered virtual shopping assistants designed to provide personalized solutions in the digital marketplace experience. Virtual shopping assistants, driven by technologies such as chatbots, voice assistants, and machine learning, enable consumers to receive more relevant product recommendations and a shopping experience tailored to their preferences. This study aims to explore how the implementation of AI-powered virtual shopping assistants can enhance customer loyalty, sales conversion, and consumer satisfaction in online marketplaces. Using a mixed-method approach involving in-depth interviews and quantitative surveys, the research identifies consumer perceptions of this technology and its impact on their purchasing decisions. Findings reveal that consumers who engage with AI-powered virtual shopping assistants report more personalized and satisfying shopping experiences, contributing to increased loyalty and sales conversion for e-commerce platforms. This article provides practical insights for marketplace managers to optimize the use of AI in creating more personalized and responsive shopping experiences. Furthermore, this research opens opportunities for further exploration of AI integration across various digital shopping channels.

In educational research, identifying variables and determining data sources are essential components in designing a systematic and accurate study. Research variables refer to the elements that are observed and measured within a study. These variables can include student achievement, motivation, teaching strategies, or learning environment conditions. Generally, variables are categorized as independent, dependent, control, or moderator variables. The independent variable is the influencing factor, while the dependent variable is the outcome. Control variables are held constant to avoid interference, and moderator variables affect the strength or direction of the relationship. The process of identifying variables begins with formulating the research problem and objectives. By reviewing theoretical frameworks and previous studies, researchers can focus their investigation on measurable aspects. For instance, in a study about the effectiveness of online learning on student performance, the independent variable is online learning, while the dependent variable is student achievement. Beyond identifying variables, researchers must also determine the appropriate types of data sources. Data sources are generally divided into two categories: primary and secondary. Primary data are collected directly from research subjects, such as through interviews, observations, or questionnaires. Secondary data, on the other hand, are obtained from existing sources like documents, books, journals, or official reports. The choice of data source must align with the research approach—quantitative, qualitative, or mixed methods. In quantitative research, primary data such as test scores or survey responses are used to measure variables numerically. In qualitative research, in-depth interviews and observations are commonly used to explore meanings and context. Using both types of data in combination can enhance data validity through triangulation. Ultimately, researchers must ensure the validity and reliability of their data, while also maintaining ethical standards in data collection and reporting. By understanding how to identify variables and select appropriate data sources, educational research can yield credible findings that contribute meaningfully to educational theory and practice.

The role of Cargo Handling on the Loading and Unloading Process at PT Terminal Teluk Lamong is very important for the loading and unloading process at the port. This research aims to identify various technical and non technical obstacles in the operation of cargo handling equipment such as ASC, forklift, and reach stacker. The interview results showed that there are four main factors that become obstacles in the loading and unloading process, namely machines, methods, facilities, and manpower. Further analysis using fishbone diagrams reinforced these findings by outlining the causes of each factor, ranging from machine interference, wrong container placement methods, limited technological facilities such as Container Scanner Reader (CSR), to the driver’s lack of understanding of the automation system. Quantitatively, the efficiency of cargo handling was evaluated through the 2023 container throughput, which showed a positive trend with a significant increase in load activity, especially in October which recorded the highest number of 39.106 Boxes. The analysis concluded that although there are various obstacles in cargo handling practices, the system implemented by PT Terminal Teluk Lamong has generally been able to improve the efficiency of the loading and unloading process, as evidenced by the volume of container handling.