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This study aims to analyze the influence of digital experience and customer experience on passenger loyalty on the Progo Train route, Pasar Senen–Lempuyangan. The increasing digitalization of public transportation services through the Access by KAI application has highlighted the importance of examining the quality of digital experience and customer experience in maintaining passenger loyalty. The study employed a quantitative approach with a causal associative design. Data were collected from 150 respondents through a questionnaire with a five-point Likert scale using a purposive sampling technique. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software (Ringle et al., 2024). The results of the outer model evaluation showed that all indicators had outer loadings > 0.70, Average Variance Extracted (AVE) > 0.50, Composite Reliability (CR) and Cronbach's alpha > 0.70, thus all constructs were declared valid and reliable. The inner model test shows that digital experience has a positive and significant effect on passenger loyalty (β = 0.192; T = 2.237; p = 0.025). Customer experience also has a positive and significant effect on passenger loyalty (β = 0.243; T = 3.268; p = 0.001). The coefficient of determination (R²) of 0.133 indicates that both variables explain 13.3% of the variance in passenger loyalty. The customer experience variable has a more dominant influence than digital experience on Progo Train passenger loyalty.

Regional economic development requires a comprehensive understanding of the structure, potential, and dynamics of economic sectors so that formulated policies can be targeted and sustainable. Bojonegoro Regency as one of the regions in East Java Province has unique economic characteristics with the dominance of certain sectors, so it is necessary to conduct an in-depth analysis of the economic sectors that play a role in driving regional growth. This study aims to identify basic and non-basic sectors, analyze the dynamics of changes in economic sectors, and assess the sectoral competitiveness of Bojonegoro Regency compared to East Java Province. This study uses a quantitative approach with secondary data in the form of Gross Regional Domestic Product at constant prices by business field obtained from the Central Statistics Agency. The analytical methods used include Location Quotient, Dynamic Location Quotient, and Shift Share. The results show that the mining and quarrying sector remains the sector with the most dominant relative advantage in the economic structure of Bojonegoro Regency. However, the analysis of dynamics and competitiveness indicates that several non-extractive sectors are starting to show faster development and growth potential. This finding suggests an opportunity for transformation of the regional economic structure towards a more diverse pattern. The implications of this research emphasize the importance of regional economic development strategies that do not only rely on traditional leading sectors, but also encourage the development of more sustainable potential sectors.

Used cooking oil is a household waste that is often disposed of carelessly, potentially polluting the environment and endangering health. In Battu Winagun Village, the availability of used cooking oil from household activities and the abundant potential of lemongrass plants have not been optimally utilized. This community service activity aims to increase the community's knowledge and skills in processing used cooking oil and lemongrass plants into environmentally friendly products with economic value, namely natural aromatherapy candles. The implementation method includes socialization of the negative impacts of used cooking oil on the environment, training in the process of filtering and processing used cooking oil, extracting lemongrass aroma, and assistance in making and packaging aromatherapy candles. The results of the activity showed that the Battu Winagun Village community was able to understand the importance of managing used cooking oil waste and utilizing lemongrass plants as a natural additive. This activity has an impact on reducing environmental pollution and opening up creative business opportunities based on the village's local potential. Thus, the use of used cooking oil and lemongrass plants can be a sustainable solution in waste management while improving the economy of the Battu Winagun Village community.

This study aims to analyze how the integration of traditional knowledge and digital knowledge shapes organizational strategies in Micro, Small, and Medium Enterprises (MSMEs) in responding to an increasingly competitive business environment. A quantitative approach was employed by applying variance-based Structural Equation Modeling (SEM) using SmartPLS 3 software to 100 MSME respondents. The research model was developed by incorporating three main latent constructs, namely digital knowledge, traditional knowledge, and organizational strategy, which were measured using several indicators relevant to the MSME context. The analysis results indicate that all research instruments meet good reliability and validity criteria, with outer loading values ranging from 0.719 to 0.902, Average Variance Extracted (AVE) values above 0.64, and composite reliability exceeding 0.87. Structural model testing reveals that digital knowledge has a strong and significant effect on organizational strategy (β = 0.799), while traditional knowledge shows a very small effect (β = 0.024). The research model explains 66.4% of the variance in organizational strategy. These findings confirm that digital transformation is the primary factor in shaping competitive strategies among MSMEs, while traditional knowledge continues to serve as a foundation for local context and cultural values. Therefore, the implementation of a hybrid management approach is considered effective in assisting MSMEs in formulating more adaptive, innovative, and sustainable strategies.

Traditional association rule analysis is effective at uncovering co-purchase patterns but fails to provide a global structural view of the market, which often results in fragmented and isolated insights. This study proposes a hybrid framework that integrates the Apriori algorithm with a Minimum Spanning Tree (MST) in order to validate and contextualize association rules within a single structural backbone. Transaction data from a retail store are transformed into a weighted, undirected product graph using an inverse-support function, and an MST is then extracted to represent the market backbone, while frequent itemsets and strong rules are obtained using Apriori. Experimental results on 236 multi-item transactions show that the MST backbone comprises 10 products and 9 fundamental links, with 66.67% of these links being confirmed by strong association rules, indicating a substantial coherence between statistical and structural evidence. The proposed model identifies 41 Apriori patterns that can be embedded in the MST and ranks them using a new metric, Structural Distance, which enables the categorization of Core Patterns, Bridge Patterns, and Complex Patterns according to their structural tightness. This hybrid perspective distinguishes dense, strategically meaningful bundles from anomalous but frequent combinations that are structurally peripheral, thereby offering a more holistic and actionable alternative to conventional Market Basket Analysis. The validated framework can support various applications, including store layout optimization, cross-selling strategies, and the design of path-based recommender systems, and it opens avenues for future extensions based on dynamic graphs and Graph Neural Networks.

Regional development faces dynamic challenges amid rapid economic growth driven by natural resource extraction. This study aims to identify leading economic sectors, analyze structural economic transformation, and evaluate the role of these sectors in regional development. The research employs a quantitative method with a descriptive approach. Secondary data consist of Gross Regional Domestic Product (GRDP) at constant prices over the past five years. The analytical techniques applied include Location Quotient analysis to identify base sectors, Shift-Share analysis to assess structural changes as well as comparative and competitive advantages, and Klassen Typology to classify sectoral growth patterns. The results reveal a structural shift from primary sectors, such as agriculture and fisheries, toward secondary sectors, including mining and manufacturing. Despite challenges related to development equity, these leading sectors serve as key drivers of regional economic growth. To maximize the contribution of leading sectors to broader regional development, this study recommends that government policies prioritize the strengthening of intersectoral linkages.

Manual quality assessment of Platelet Concentrate (TC) is highly subjective and inconsistent, necessitating an objective, automated classification system. This study aims to develop a computationally efficient, low-cost model for TC quality classification using Histogram Features extracted from grayscale images combined with the K-Nearest Neighbor (KNN) algorithm. The methodology employed critical preprocessing steps, including StandardScaler for normalization and SMOTE for balancing the training data, followed by optimization across K=1 to K=30. The optimal model achieved a maximum accuracy of 69.23% at K=6, with an F1-Score of 71.43%, confirming robust performance on the imbalanced testing set. The results validate the effectiveness of the Histogram-KNN approach as a consistent and reliable decision support system for rapid TC quality screening in resource-limited settings.

This study aims to determine the effect of compensation on employee performance through job satisfaction as an intervening variable at PT Sumber Alfaria Trijaya Tbk Jambi Branch. The population and sample in the study were all employees of PT Sumber Alfaria Trijaya Tbk Jambi Branch totaling 754 employees, while the sample was determined using a sampling method adjusted to the research needs of 89 employees. This study uses a quantitative approach and data were collected through a questionnaire method. The data analysis method of this study is descriptive statistical analysis using the Structural Equation Model (SEM) technique using the SmartPLS 4 program analysis tool. Model testing includes convergent validity testing through outer loading and Average Variance Extracted (AVE) values, discriminant validity testing, and reliability testing through Composite Reliability and Cronbach's Alpha values. Evaluation of the structural model was carried out by looking at the R-Square value, direct effect, indirect effect, and hypothesis testing through t-statistic and p-value. Based on the results of the study, it shows that the average employee performance score of 397.2 is included in the very high category; compensation of 394.3 is included in the very high category; and job satisfaction of 399.1, categorized as very high. The results of the PLS test indicate that compensation has a positive and significant effect on employee performance; compensation has a positive and significant effect on job satisfaction; job satisfaction has a positive and significant effect on employee performance; and compensation has a positive and significant effect on employee performance through job satisfaction as an intervening variable. This research recommends: (1) For the employee performance variable, companies are advised to provide time management training and conduct regular evaluations to achieve work targets more consistently. (2) For the compensation variable, companies need to improve the suitability and availability of work facilities to support effective task implementation. (3) For the job satisfaction variable, companies are advised to improve the work environment and enhance the quality of physical facilities to increase employee comfort and satisfaction.

Indonesian Sign Language (BISINDO) serves as a primary communication medium for the deaf community; however, limited public understanding often creates barriers during daily interactions. This study aims to develop a real-time BISINDO word-level translation system using hand landmark extraction and temporal modeling with Long Short-Term Memory (LSTM). The system employs MediaPipe Hands to detect 21 hand landmarks per frame, which are then processed as sequential motion patterns to classify five BISINDO words: saya, terima kasih, maaf, nama, and kamu. A total of 250 gesture samples were recorded under controlled lighting conditions as the primary dataset. The processed sequences were used to train the LSTM model, which was subsequently integrated with an ESP32 microcontroller and a DFPlayer Mini module to produce direct audio output. Experimental results show that the model achieved an average accuracy of 86%, with precision and recall values ranging from 0.81 to 0.94. The confusion matrix analysis indicates that most gestures were correctly classified, although some errors occurred in gestures with similar initial motion trajectories. Integration testing demonstrated an average system latency of 3.8 seconds and an audio output success rate of 85%. These findings indicate that the proposed system is capable of translating BISINDO word-level gestures accurately, responsively, and consistently in real-time conditions. This study provides a strong foundation for the broader development of sign language translation systems, with potential enhancements in vocabulary expansion, multi-user datasets, and hardware optimization for deployment in real-world environments.

The purpose of this study is to analyze the strategic role of the Green Human Resource Information System (Green HRIS) in bridging the transformation of human resource management with the demands of Environmental, Social, and Governance (ESG) principles, specifically examining how Green HRIS contributes to sustainable HR practices, organizational performance, and digital HR transformation. Using a Systematic Literature Review (SLR) approach, this study identifies, evaluates, and synthesizes prior research by conducting a structured search across major academic databases—Scopus, Web of Science, Springer, Elsevier, and Wiley—for publications from 2020 to 2025 that address green HRM, HR digitalization, sustainable HR practices, and ESG integration. The review process includes screening titles, abstracts, and full texts, extracting key data, and categorizing findings into environmental, social, and governance dimensions. The results demonstrate that Green HRIS strengthens ESG implementation by reducing paper usage, lowering carbon emissions, and promoting sustainable HR practices such as digital recruitment and e-learning, while also improving governance through enhanced transparency, accountability, regulatory compliance, and real-time reporting. Empirical evidence indicates that Green HRIS fosters employee engagement, organizational innovation, and the development of green competitive advantages. Practically, the study highlights how organizations, policymakers, and HR managers can utilize Green HRIS to optimize digital transformation and meet ESG requirements, thereby reinforcing legitimacy and long-term competitiveness within the green economy. This research offers originality as one of the first systematic reviews addressing Green HRIS in the ESG era, integrating theories such as the Resource-Based View, Technology Acceptance Model, and organizational sustainability theory, while also mapping trends, best practices, and gaps for future research.

Hand hygiene is an essential step in preventing the transmission of infectious diseases, making the availability of safe and environmentally friendly hand soap an important necessity in daily sanitation practices. This community service activity aims to enhance students’ environmental literacy, technical skills, and ecological awareness through training on producing natural hand soap based on butterfly pea flower (Clitoria ternatea) extract, with the final product named Clitoria Nature. The program was implemented using the Participatory Action Research (PAR) method, which consists of four stages planning, action, observation, and reflection—through strategies including socialization, demonstration, and hands-on practice. The subjects of this activity were 32 students of Grade VIII Room 1 at MTsN 1 Palangka Raya City. The results showed an increase in students’ understanding of the benefits of natural ingredients, their ability to formulate liquid soap, and the development of behavior that favors the use of natural hygiene products. Theoretically, the anthocyanin and flavonoid content of butterfly pea flowers supports the antibacterial potential of the formulated soap. This program not only produced an environmentally friendly hand soap but also contributed to the formation of healthier and more sustainable sanitation behaviors.

This study explores the intellectual and thematic evolution of green sukuk research within Islamic sustainable finance from 2015 to 2025. Using a hybrid methodological design that integrates the PRISMA-guided Systematic Literature Review with Watase Uake network analysis, the study identifies 17 core Scopus-indexed articles that collectively define the field’s conceptual and empirical development. Results reveal a three-phase evolution: (1) a formative stage emphasizing ethical legitimacy and Sharia compliance; (2) a transitional phase integrating pricing efficiency, market risk, and policy frameworks; and (3) a maturity phase characterized by econometric modeling, behavioral-finance integration, and sustainability governance. Thematic clusters extracted from bibliometric mapping include financial performance and market dynamics, institutional legitimacy and policy frameworks, behavioral intention and investor psychology, and technological innovation and ESG disclosure. Despite methodological advancement, the literature remains geographically concentrated in Malaysia and Indonesia and exhibits theoretical fragmentation across behavioral, financial, and institutional models. Findings highlight key research gaps involving contradictory evidence on yield–risk relationships, inconsistent behavioral determinants of investment intention, and insufficient integration of moderating or mediating mechanisms. The study advances theoretical pluralism by connecting the Theory of Planned Behavior (TPB), Institutional and Legitimacy Theory, and Resource-Based View (RBV) into an integrated model explaining how legitimacy, behavior, and strategic capability jointly drive green sukuk adoption. Policy implications emphasize the need for harmonized regulation, behavioral incentives, and digital transparency to strengthen credibility and accelerate sustainable-finance transformation in line with SDGs 7 and 13.

This study aims to analyze the influence of academic achievement, internship experience, competence, and work motivation on the work readiness of Gunadarma University Management students in the Depok region. The research employed a quantitative method using primary data collected through questionnaires. A total of 250 valid responses were obtained using a non-probability sampling technique with purposive sampling. Data analysis was conducted using Smart PLS 4 software with several testing stages, including convergent validity, Average Variance Extracted (AVE), composite reliability, Cronbach’s alpha, discriminant validity, R-square test, predictive relevance (Q²), and hypothesis testing. The results indicate that academic achievement, internship experience, competence, and work motivation significantly influence students’ work readiness, both directly and indirectly. These findings highlight the importance of enhancing practical experience and internal motivation among students to better prepare them for the increasingly competitive job market.

The efficiency of investment decisions is one of the core axes in the success of organizations and the sustainability of their business, especially in light of the dynamic and complex business environment. In this context, the integrated role of both accounting and financial management systems is highlighted, as the harmony between them is a key pillar in providing accurate, real-time, and analytical data that supports the investment decision maker and reduces the degree of uncertainty and risks associated with investments. This research aims to analyze the impact of the integration between accounting systems and financial management on the quality and efficiency of investment decisions within institutions, with a focus on the nature of the causal relationship between the two variables. A conceptual model has been built that illustrates the interaction between the financial information generated by the accounting system and the analytical tools provided by the financial department, which contributes to raising the efficiency of strategic decisions related to investment. To achieve the objectives of the study, a descriptive-analytical approach supported by a standard analysis using a simple linear regression model was adopted on field data extracted from an intentional sample of financial officials in the banking and investment sector. The results showed that there is a statistically significant positive effect of the integration of accounting and financial management systems in enhancing the efficiency of investment decisions, as the model showed that integration contributes more than 50% to the explanation of changes in the quality of investment decisions. The study reached a number of important findings, the most prominent of which is that the lack of integration or poor coordination between accounting and financial management leads to delays in decisions or making them based on incomplete or contradictory information. Effective integration enables organizations to allocate resources more efficiently and evaluate investment alternatives in a thoughtful manner. The study concluded with a set of recommendations, most notably the need to develop the digital infrastructure of accounting and financial systems, adopt a unified system for data exchange, enhance the culture of teamwork between accounting and financial management units, in addition to activating the use of predictive financial analysis techniques to raise the level of accuracy in investment decisions.

Digital transformation and sustainability demands are driving the need for the integration of E-HRM and Green HRM to achieve sustainable organizational performance. This integration serves as a solution to the challenges of resource efficiency, carbon footprint reduction, and enhanced employee engagement in the digital era. This research aims to analyse the role of E-HRM in enhancing Green HRM practices and its impact on sustainable organizational performance. The research methodology employs a Systematic Literature Review (SLR), utilising the Scopus database, with selection based on inclusion-exclusion criteria, data extraction, and thematic analysis of selected journals. The anticipated impact of E-HRM is its support for Green HRM through the digitalization of HR processes that reduce resource usage, the establishment of digital platforms for environmental awareness, and data-driven impact measurement. The integration of both significantly enhances sustainable performance across three dimensions: environmental (a 20-30% reduction in carbon footprint), economic (15-25% cost savings), and social (30-40% increase in employee engagement). Key implementation factors include technological readiness, management commitment, and alignment with ESG strategies. This research contributes a conceptual framework for the integration of E-HRM and Green HRM, along with practical recommendations for achieving sustainable competitive advantage in the digital age.

Indonesia, as an archipelagic nation, faces considerable challenges in meeting its food requirements in accordance with Law No. 18 of 2012 on Food Security. The country’s heavy reliance on wheat imports, ranking as the largest wheat importer globally, highlights the urgency of diversifying local food sources. This study aims to explore the utilization of jali flour (Coix lacryma-jobi L.), mocaf flour (Modified Cassava Flour), and soybean flour as raw materials for producing fettucini pasta, with the addition of green spinach extract for natural coloring and nutritional enhancement. A quantitative experimental method was employed, testing three formulations of jali and mocaf flour combined with soybean flour. Sensory evaluations were conducted with 35 panelists—comprising trained, semi-trained, and untrained participants—to assess color, aroma, taste, texture, and overall acceptability. The findings revealed that flour composition significantly influenced pasta’s sensory attributes. The F2 formulation (50% jali flour, 50% mocaf flour, 20% soybean flour) achieved the highest acceptance, with average scores across all parameters rated as “liked” to “highly liked.” The incorporation of spinach extract not only imparted an appealing natural green hue but also enhanced the product’s nutritional profile, particularly in iron and dietary fiber content. These results underscore the potential of combining jali and mocaf flours as a nutritious, gluten-free pasta alternative that supports local food diversification and reduces reliance on imported wheat.

This research is a library study aimed at analyzing the various reasons for curriculum changes in Indonesia. Curriculum evaluation plays a crucial role in ensuring the quality and relevance of education by adapting to the dynamic changes in society. It helps identify the strengths and weaknesses of the curriculum and provides recommendations for improvement. However, several problems arise during implementation, particularly when teachers feel the time allocated to adapt to the new curriculum is insufficient, coupled with gaps in school facilities that make the implementation appear forced. The evaluation focuses on several key aspects: content, learning strategies, media, student learning outcomes, and teacher readiness, as teachers are the main drivers of knowledge transfer in the classroom. The qualitative descriptive approach, in the form of library research, collects data through systematic reviews, analysis stages, and information extraction from various sources. Over the course of the education system in Indonesia, from 1947 to 2024, the curriculum has undergone numerous changes. While these changes aim to improve the learning process and achieve optimal educational quality, they have had both positive and negative impacts. The influence of political agendas and the priorities of the ruling government have significantly shaped these curriculum changes. Despite these challenges, the rationale behind the changes lies in the effort to improve the learning experience and keep educational content up to date, reflecting the needs of the times. In conclusion, curriculum changes are essential to maintaining educational relevance, but proper preparation, sufficient time for adaptation, and adequate facilities are critical to the successful implementation of these changes. The research highlights the ongoing struggle to balance educational reforms with practical considerations for educators and students alike.

In helping to support the appearance and confidence of the skin needs to be treated especially for dry skin. Having a dry facial skin causes discomfort because the cosmetics used will be difficult to stick to the skin. In addition, weather factors, the use of unsuitable cosmetics, exposed to excessive sun exposure, and unhealthy lifestyles can cause the skin to become dry. The purpose of this study was to determine the process of making gel masks from carrot extracts and seen from laboratory tests, organoleptic tests and hedonic tests. This study uses quantitative methods with an experimental approach. Data collection techniques through observation, documentation and observation sheets that can be seen from the results of laboratory tests, organoleptic tests (texture, color, aroma, adhesion) and hedonic tests (panelists). The results of the study obtained from the results of laboratory tests by looking at the pH level of each formulation are in a safe range of 4-5. In the organoleptic test, panelists declared F1 as a preparation of less thick, orange, and lack of scented in carrot. In the F2 formulation, panelists declare as a texture preparation that is thick, orange, and scented typical of carrots. In the F3 formulation, the panelists declare that the preparation is less thick, less orange, and a typical carrot scented. In the F4 formulation, panelists declare as a very thick, non -orange preparation. And very scented typical of carrots. In the adhesion of the panelist states from all formulations that F4 is very attached. In the hedonic test, the preparation that many panelists like, namely the F4 preparation, is very thick, not orange and very scented typical of carrots. Thus the gel mask of carrot extract can be used as material for making gel masks seen from laboratory tests, organoleptic tests, and hedonic tests.

This study analyzes Gopay user satisfaction in DKI Jakarta area. Amidst Indonesia's booming digital economy and the shift to cashless transactions, Gopay's role as a leading e-wallet is crucial, making user satisfaction vital for business sustainability. Employing a quantitative descriptive approach, data was collected via surveys from 170 Gopay users in DKI Jakarta, primarily young adults (18-29) and students. Data were analyzed using descriptive and exploratory factor analysis with SPSS version 25. Descriptive analysis showed respondents hold a highly positive perception across all five satisfaction dimensions: Content, Accuracy, Format, Ease of Use, and Timeliness. Factor analysis extracted five key factors—Completeness, Accurate, Appearance, Easy to Understand, and Information Availability—collectively explaining 68.601% of the total variance. These factors significantly contribute to overall user satisfaction. The findings offer valuable insights for Gopay to enhance services and foster user loyalty by focusing on these critical aspects of application quality.

This study employs Return On Investment (ROI) as a key metric to evaluate the financial performance of PT Astra Agro Lestari Tbk. The selection of ROI is justified by its capacity to comprehensively assess the efficiency of the company's total operational assets in profit generation. Utilizing a descriptive research design, the analysis is based on secondary data extracted from the company's financial statements available through the Indonesia Stock Exchange. The research reveals that PT Astra Agro Lestari Tbk achieved an ROI of 78%, indicating superior efficiency in investment management. These empirical findings provide valuable insights for corporate management to formulate strategic decisions aimed at enhancing future operational performance.