Rumah E-Journal Citakonsultindo (CV. CITA UTILITAS UTAMA)
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    Multiple Linear Regression Model for Analyzing the Determinants of Rice Production in Sumatra

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    Rice production was a crucial component in maintaining national food security, particularly in Sumatra, which was known as one of Indonesia's rice granaries. This study aimed to analyze the determinant factors affecting rice production in Sumatra using a multiple linear regression approach. Secondary data utilized in this research included 224 observations from eight provinces in Sumatra, covering the period from 1993 to 2020. The independent variables analyzed included Year, Harvest Area, Rainfall, Humidity, and Average Temperature, with Rice Production as the dependent variable. The resulting multiple linear regression model was expressed by the following equation: Rice Production (Y) = −63.442.498,904 + 32.535,572 × Year + 4,622 × Harvest Area + 46,106 × Rainfall – 3.993,403 × Humidity – 62.701,579 × Average Temperature. Data processing was performed using SPSS software, which included normality testing, linearity testing, simultaneous F-test, and coefficient of determination analysis. The normality test results indicated that the residuals of the model were normally distributed (Asymp. Sig. = 0.227 > 0.05). The linearity test showed a significant linear relationship between the independent variables and rice production, with no deviation from linearity. The regression model demonstrated a coefficient of determination (R²) value of 0.877, meaning that 87.7% of the variation in rice production could be explained simultaneously by these five variables. Furthermore, the F-test results indicated that the regression model was statistically significant (Sig. = 0.000). These findings suggested that the five variables significantly influenced rice production and could serve as a basis for strategic decision-making in the agricultural sector. The resulting model also held the potential as a predictive tool in planning policies to enhance rice production in the future

    The Influence Of Digital Ecosystems And Its Impact On Local Economic Growth: A Regional Economic Perspective

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    This article explores the impact of digital ecosystems on local economic development with a focus on a regional perspective. Data is collected from various sources and analyzed to understand the relationship between digital ecosystem development and economic growth in various regions. The research results show that the development of a digital ecosystem has a significant positive impact on local economic growth through increasing productivity, job creation and innovation in the SME sector. This research approach is qualitative, using secondary data from journals, reports and other reliable sources. Data analysis was carried out by identifying the main themes that emerged from the literature. Data analysis was carried out using a thematic approach, where the main themes emerging from the literature were identified and analyzed. These themes include ICT infrastructure, innovation and SMEs, education and digital skills, and government policy. Each theme is analyzed to understand how digital ecosystems influence local economic development in various regional contexts

    The Effect of Product Quality and Brand Ambassador on Purchase Decision Through Brand Trust as a Mediating Variable for Users of Ms. Glow Skincare Products in Malang City

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    This study aims to determine the effect of quality, purchase decision, from product quality and brand ambassadors on purchase decisions with brand trust as a mediating variable for consumers of Ms Glow skincare products in Malang City. This research is important because there are research gaps in previous studies. This study uses nonprobability sampling technique with purposive sampling method. The data collection technique used a questionnaire distributed to respondents with a 5-point Likert scale answer. The sample in this study amounted to 385 respondents with data analysis using the SEM-PLS method SmartPLS4 software.  The empirical test results show the research findings, namely that there is a positive and significant influence between product quality on brand trust, there is a positive and significant influence between brand ambassadors on brand trust, there is a positive and significant influence between product quality on purchase decisions, there is a positive and insignificant influence between brand ambassadors on purchase decisions, there is a positive and significant influence between brand trust on purchase decisions through brand trust, and there is a positive and significant influence between brand ambassadors on purchase decisions through brand trust. This study shows that the product quality of Ms Glow skincare products can increase sales and maintain consumer confidence in the quality of products that are no longer in doubt. Therefore, marketers of Ms Glow skincare products must continue to maintain the quality of Ms Glow skincare products to maintain consumer trust and purchasing power

    Teachers' Innovation Strategies Based on Local Wisdom Through Strengthening Servant Leadership, Employee Engagement, Organizational Climate, and Learning Organizations

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    This study aims to examine teachers' innovation strategies based on local wisdom through strengthening servant leadership, employee engagement, organizational climate, and learning organizations. Educational innovation is an important aspect in improving the quality of learning, and local wisdom as the foundation of innovation strategies can provide a relevant and contextual approach. This study adopts a quantitative approach using surveys to collect data from teachers and staff in several schools. The main variables studied include servant leadership, employee engagement, organizational climate, and learning organization, which are linked to the implementation of innovation based on local wisdom. The results show that strengthening servant leadership and employee engagement plays a significant role in creating an organizational climate that supports sustainable learning. Additionally, strong learning organizations can facilitate the effective implementation of innovation. These findings have practical implications for the development of education policies that focus more on human resource empowerment and the integration of local values into learning practices

    Measuring Entrepreneurial Skills with Digital Literacy and Entrepreneurship Literacy as Mediators (A Study of Vocational High School Students in Blitar Regency)

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    This study aims to analyze the effect of entrepreneurship education on the entrepreneurial skills of vocational high school students, taking into account the role of digital literacy and entrepreneurship literacy as mediating variables. This study uses a quantitative approach with a survey method through hypothesis testing. The research sample involved 223 12th grade vocational high school students in Blitar Regency. Data analysis was conducted using the Structural Equation Modeling-Partial Least Square (SEM-PLS) method. The results of this study indicate that entrepreneurship education does not have a significant or negative effect on entrepreneurial skills. This occurs because the entrepreneurship education process applied to students is more theoretical, lacks practical application, and the material is not aligned with students' needs in the workplace. Meanwhile, entrepreneurship education can have a significant and positive impact on digital literacy and entrepreneurship literacy. These results indicate that entrepreneurship education can enhance students' skills in using digital technology. Entrepreneurship education serves as the foundation for digital knowledge and entrepreneurial understanding, enabling students to create businesses in the future. The implications of this study are highly useful for developing policies, business practices, and approaches that enhance the entrepreneurial skills of vocational high school students in Blitar Regenc

    Digital Competitiveness through TERM for Student-Entrepreneurs in Central Java

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    Digital competitiveness has become a critical factor for entrepreneurial success in the modern economy. This article examines how the Techno-Entrepreneurial Relationship Marketing (TERM) model can enhance the digital competitiveness of student entrepreneurs in Central Java. Using a mixed-methods approach, the study assesses the impact of digital tools, entrepreneurial orientation, and proactive market engagement on business outcomes. The findings reveal that TERM significantly improves digital marketing performance, customer loyalty, and competitive positioning by fostering data-driven decision-making, rapid responsiveness, and personalized customer interactions. The study highlights the importance of integrating TERM into entrepreneurship education to prepare students for the challenges of the digital economy. It concludes with practical recommendations for educators, policymakers, and student entrepreneurs on how to leverage TERM to achieve long-term business sustainability and competitive advantage in a rapidly evolving digital marketplace. These insights are particularly relevant for institutions seeking to develop the next generation of innovative, tech-savvy entrepreneurs

    Study On Waste Management In Makale Market And Its Impact On The Community In Tana Toraja Regency

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    Waste management is a very serious environmental problem faced by Indonesian society due to the increasing amount of waste generated in Indonesia. The purpose of this study was to determine or evaluate waste management at Makale Market and its impact on the community in Tana Toraja Regency. This study used several methods: cluster technique was used to group traders who would become samples, the Slovin formula was used to determine the number of samples to be studied, and descriptive analysis was used to analyse waste management at the market by market managers, trader behaviour, and the impact on the surrounding community by collecting data through observation, interviews, documentation, and literature study. The results of the study show that waste management at Makale Market does not yet meet the criteria (SNI 19-2454-2002) in terms of containment (organic and inorganic waste is still mixed), collection (there is a collection schedule), transfer (transfer is carried out every day), management (no recycling is carried out), and final disposal (the equipment used is adequate). The impact on the community (discomfort) requires the Tana Toraja Regency Environmental Agency to provide more full support for waste management, especially at Makale Market in Tana Toraja Regency, South Sulawesi

    Integration of Servant Leadership and Psychological Factors on Teachers' OCB

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    Teachers’ Organizational Citizenship Behavior (OCB) plays a crucial role in enhancing school effectiveness and the quality of educational services, particularly in private vocational high schools that face increasing performance and competitiveness demands. However, the lack of extra-role behavior among teachers remains a persistent challenge. This study aims to examine the effects of Servant Leadership and teachers’ psychological factors on Organizational Citizenship Behavior (OCB) among teachers in private vocational high schools in West Jakarta, both directly and indirectly. This research employed a quantitative approach using a survey method. The population consisted of 1,119 permanent teachers from A-accredited private vocational high schools in West Jakarta, with a sample of 199 teachers selected through proportional random sampling. Data were collected using validated and reliable structured questionnaires and analyzed using Path Analysis to examine causal relationships among variables. The findings indicate that Servant Leadership and psychological factors have a positive and significant effect on teachers’ OCB, both partially and simultaneously. Psychological factors emerge as a key variable that strengthens the influence of Servant Leadership on teachers’ extra-role behavior. This study contributes theoretically to the development of OCB research within educational leadership studies and provides practical implications for school management in designing strategies to enhance teachers’ performance through the strengthening of servant leadership practices and the management of teachers’ psychological conditions

    Integration of Vocational Education and Multistakeholder Collaboration in West Java Province's Disaster Mitigation

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    West Java Province has a high risk of disasters due to complex geological conditions, population density, and rapid urbanisation. These conditions require a paradigm shift from reactive mitigation strategies to proactive and integrated ones. This study aims to analyse the integration between vocational education in disaster management and multi-stakeholder collaboration as a strategic effort to strengthen the disaster mitigation system in West Java. Using a qualitative-descriptive method through literature review and Focus Group Discussion (FGD) with relevant stakeholders, this study examines the roles and synergies within the Pentahelix model framework. Research findings indicate that vocational education in disaster management, with a practice-based learning approach (learning by doing), plays a strategic role in producing technically competent and adaptive human resources. On the other hand, the Pentahelix collaboration model, which involves the government, academics, the business world, communities, and the media, creates a comprehensive and inclusive mitigation ecosystem. The integration of these two aspects facilitates the transfer of field knowledge, scientific-policy collaboration, and increased collective awareness. This synergy produces an adaptive resilience ecosystem that bridges academic science, field practice, and community empowerment. This study concludes that strengthening cross-sector coordination, expanding the implementation of applied research, directing CSR towards mitigation activities, and optimising the media as an educational channel are key to realising a sustainable and collaborative disaster mitigation model in West Java

    The Effect of Artificial Intelligence-Assisted Science Teaching Modules Based on the SSCS Model on Increasing Student Learning Motivation

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    This study aims to examine the effect of an AI-assisted Science module based on the SSCS (Search, Solve, Create, Share) model on students’ learning motivation. A one-group pretest–posttest design was applied to a class of 30 seventh-grade students. Data were collected using a validated Likert-scale questionnaire on learning motivation. Normality tests (Shapiro–Wilk) confirmed that the pretest and posttest scores were normally distributed, allowing the use of a paired sample t-test. The pretest results showed an average learning motivation score of 64.17% (Fair), indicating moderate engagement. Indicators such as willingness and desire to succeed (55%), drive and need to learn (57%), and appreciation in learning (65%) were relatively low, suggesting that students were passive and lacked intrinsic motivation. After implementing the AI-assisted SSCS module, the posttest results demonstrated a significant improvement, with an average score of 79.5% (Good). All indicators increased, including willingness to succeed (80%), drive to learn (77%), and future aspirations (81%, Excellent). The paired t-test confirmed a statistically significant increase in learning motivation (t = 16.23, p < 0.05). The findings indicate that integrating AI with the SSCS learning model enhances students’ engagement, intrinsic motivation, and participation in learning activities. This study suggests that AI-assisted, structured, and interactive learning modules can be an effective strategy to improve both cognitive and affective outcomes in science education

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