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Digital transformation in public health services requires cadres to possess adequate digital literacy and technology adaptation skills. This study aims to analyze the influence of digital literacy and technology adaptation on the effectiveness of cadre performance, with digital competence as an intervening variable in Pekalongan Regency. The study population was health cadres in Pekalongan Regency, with a sample of 90 respondents selected using a technique that was part of the total population of 285 respondents. Sampling used simple random sampling. Data collection was carried out using a questionnaire that had been tested for validity and reliability. Data analysis used [analytical methods, for example: Structural Equation Modeling (SEM) or Path Analysis] to examine direct and indirect relationships between variables. The research results are expected to provide an overview of: (1) the influence of digital literacy on the effectiveness of cadre performance, (2) the influence of technology adaptation on the effectiveness of cadre performance, (3) the influence of digital literacy on digital competence, (4) the influence of technology adaptation on digital competence, (5) the influence of digital competence on the effectiveness of cadre performance, and (6) the role of digital competence as an intervening variable in the relationship between digital literacy and technology adaptation on the effectiveness of cadre performance. The findings of this research are expected to serve as a basis for developing training programs and increasing the capacity of health cadres in the digital era, particularly in Pekalongan Regency.

This study aims to determine: 1) The effect of the product on customer loyalty, 2) Price influence on customer loyalty, 3) The influence of place / location on customer loyalty, 4) The influence of promotion on customer loyalty, 5) The influence of people / employees on customer loyalty, 6) Effect of physical facilities on customer loyalty, 7) Effect of process on customer loyalty Bank BRI Unit Ampek Nagari Cabang Bukittinggi. Type of research conducted is Expost-Facto, the number of study population as much as 834 people, Proportional sampling technique Simple Random Sampling. The sample of this research is customer Bank BRI Unit Ampek Nagari Cabang Bukittinggi numbered 114 people. Data were collected through questionnaires using Likert scale models that have been tested for validity and reliability. Data analysis technique used is Path Analysis (Path Analysis). The research results are: 1) There is significant influence between product to customer loyalty, 2) There is a significant influence between price and customer loyalty, 3) There is a significant influence between place / location on customer loyalty, 4) There is significant influence between promotion to customer loyalty, 5) There is significant influence between person / employee to customer loyalty Training, 6) There is significant influence between physical facility to customer loyalty, 7) There is a significant influence between the process on customer loyalty Bank BRI Unit Ampek Nagari Cabang Bukittinggi. Viewed from direct or indirect influence of product, price, place / location, promotion, person / employee, physical facility and process to customer's loyalty Bank BRI Unit Ampek Nagari Cabang Bukittinggi is 84.54%, it is obtained that the promotion has the greatest influence of 21.01%. This shows that the understanding of promotion directly has a big role to the emergence of customer loyalty Bank BRI Unit Ampek Nagari Cabang Bukittinggi.

This study aims to examine the influence of career development and work environment on employee performance through work awards as an intervening variable in the regional secretariat of Pekalongan Regency This research was conducted by a survey method of employees with job satisfaction as an intervening variable in the regional secretariat of Pekalongan Regency The sampling technique used in this study was a census of 56 respondents. Data collection through the dissemination of questionnaires, data analysis in this study uses SmartPLS The analysis used is Outer Model Test, Validity Test, Feasibility Test, Structural Model Test, Hypothesis Test. The results of the study showed that Career Development and work awards have a positive and significant effect on Job Satisfaction, Career Development and Work awards have a positive and significant effect on Employee Performance, Career Development variables and Work awards have a positive and significant effect on Employee Performance through Job Satisfaction.

This study investigates the direct and indirect effects of transformational leadership and digital literacy on civil servant performance through the mediating role of adaptability. The research population comprised all 75 employees at the Regional Financial Management and Local Revenue Agency (BPKPAD) of Demak Regency, Indonesia. A saturated sampling method was employed, utilizing the entire population as respondents. Primary data were collected through structured questionnaires and analyzed using Structural Equation Modeling-Partial Least Square (SEM-PLS) with SmartPLS 3.3 software. The findings reveal that transformational leadership significantly and positively influences both civil servant adaptability and performance. Digital literacy demonstrates a significant positive impact on both adaptability and performance, emerging as the most dominant factor in the research model. Civil servant adaptability significantly and positively affects performance. However, mediation analysis indicates that adaptability does not significantly mediate the relationships between transformational leadership, digital literacy, and performance, suggesting that direct effects predominate over indirect effects in the BPKPAD Demak Regency context.

Physics learning requires higher-order thinking skills, particularly critical thinking and conceptual understanding. However, students’ critical thinking skills and physics learning outcomes at the senior high school level are still relatively low due to teacher-centered instruction and the limited use of innovative learning models and media. This study aimed to examine the effect of the CORE (Connecting, Organizing, Reflecting, Extending) learning model assisted by Lumio by Smart media on students’ critical thinking skills and physics learning outcomes. This research employed a true experimental design with a post-test only control group design conducted at SMAN 4 Jember in the 2025/2026 academic year. The samples consisted of two classes, with class XI Umum 2 as the experimental class and class XI Teknik 3 as the control class. Data were collected through tests and analyzed using the Mann–Whitney U test. The results showed significance values of 0.027 ≤ 0,05 for critical thinking skills which means H0 is rejected and Ha is accepted and 0.020 ≤ 0,05  for physics learning outcomes which means H0 is rejected and Ha is accepted. Therefore, it can be concluded that the CORE learning model assisted by Lumio by Smart media has a significant effect on students’ critical thinking skills and physics learning outcomes.

This community service program aims to develop a local wisdom-based literacy model as an effort to improve students’ reading interest at SD Negeri 025 Samarinda Utara. The low level of reading interest among elementary school students remains a challenge in the implementation of the School Literacy Movement initiated by the Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi. One of the contributing factors is the lack of contextual reading materials that are relevant to students’ socio-cultural environment. Therefore, integrating local wisdom into literacy activities is considered an innovative strategy to enhance students’ engagement in reading activities.The implementation method included needs analysis, the design of a literacy model, program implementation through storytelling of East Kalimantan folktales, the development of a culturally themed reading corner, and teacher mentoring in integrating literacy into classroom learning. Evaluation was conducted through observation of student participation, reading interest questionnaires, and reflective discussions with teachers.The results indicate an increase in students’ enthusiasm for reading activities, a higher frequency of classroom reading corner utilization, and improved understanding of local cultural values. The local wisdom-based literacy model proved effective in creating a contextual, engaging, and meaningful learning atmosphere. This program is expected to serve as a sustainable model for strengthening literacy culture in elementary schools.

This paper aims to analyze the influence of Human Resource Reform and Transformational Leadership on Civil Servant Professionalism, with Resistance to Change as a mediating variable. The research focuses on civil servants at the Semarang City Personnel, Education and Training Agency (BKPP Semarang City), an institution at the forefront of bureaucratic reform and talent management. A quantitative approach was employed through a survey of 77 civil servants using a saturated sampling technique. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the direct and mediation relationships between the research variables. The results showed that Human Resources Reform of Civil Servants and Transformational Leadership had a positive and significant effect on ASN Professionalism. Transformational Leadership was also proven to reduce Resistance to Change, while Human Resources Reform had an indirect effect through reducing resistance. In addition, Resistance to Change had a significant negative effect on ASN Professionalism and mediated the relationship between Human Resources Reform of Civil Servants and ASN Professionalism. These findings confirm that merit system reform, competency development, and inspirational leadership are key factors in improving ASN professionalism, especially when psychological and structural barriers in the form of resistance to change can be minimized. This study provides theoretical contributions in the development of a model of ASN professionalism as well as practical recommendations for local governments in strengthening the implementation of bureaucratic reform.

This study aims to analyze the effect of transformational leadership and compensation on job satisfaction with employee performance as an intervening variable at PT Cipta Kridatama Site KIM Jambi. This research employed a quantitative approach using a survey method. The population of this study consisted of all employee of PT Cipta Kridatama Site KIM Jambi totaling 862 employees. The sample was determined using the slovin formula with a 10 percent error tolerance, resulting in 90 respondents. The sampling technique used was proportionate stratified random sampling. Data were collected through structural questionnaires and analyzed using Structural Equation Modeling based on Partial Least Squares (PLS-SEM) With The Assistance Of Smartpls 3 Software.  The result of  the study indicate that transformational leadership and compensation have a positive and significant effect on employee performance. Transformational leadership and compensation also have a positive and significant effect on job satisfaction. Furthermore, employee performance has a positive adn significant effect an job satisfaction.  The mediation test result show that employee performance is able to mediate the effect of transformational leadership and compensation on job satisfaction.These findings suggest that improving job satisfaction cannot be achieved solely through leadership and compensation policies, but also requires efforts to enhance employee performance. Therefore, organizations are encouraged to implement effective transformational leadership practices and fair compensation systems to improve employee performance and job satisfaction, particularly in high demand industries such as mining services.

This study aims to examine the effect of leadership style and organizational communication on employee performance with work motivation as an intervening variable at the Department of Transportation of Pariaman City. The data analysis method uses questionnaires with a sample of 85 respondents. Data were analyzed using Structural Equation Modeling (SEM) with the Partial Least Square (PLS) program. The results of this study indicate that: (1) There is a positive and significant effect of leadership style on work motivation, (2) There is no positive and significant effect of organizational communication on work motivation, (3) There is no positive and significant effect of leadership style on employee performance, (4) There is no positive and significant effect of organizational communication on employee performance, (5) There is a positive and significant effect of work motivation on employee performance, (6) Work motivation does not mediate the effect of leadership style on employee performance, (7) Work motivation does not mediate the effect of organizational communication on employee performance. This study provides insights for human resource management in government agencies.

The purpose of this study is to determine and examine the influence of leadership style, work facilities on employee performance with job satisfaction as an intervening variable at PT Samantaka Batuabra, Peranap District, Indragiri Hulu Regency. The data analysis method uses a questionnaire, with a sample of 40 respondents. The analysis method used is structural equation modeling (SEM) analysis using the partial least squares (SMART PLS) program. Partial least square (PLS) based on the research result shows that, (1) There is a positive and significant between Leadership Style on Job Satisfaction at PT Samantaka Batubara, Peranap District, Indragiri Hulu Regency, (2) There is a positive and significant influence between Work Facilities on Job Satisfaction at PT Samantaka Batubara, Peranap District, Indragiri Hulu Regency, (3) There is no positive and significant influence between Leadership Style on Employee Performance at PT Samantaka Batubara, Peranap District, Indragiri Hulu Regency, (4) There is a positive and significant influence between Work Facilities on Employee Performance at PT Samantaka Batubara, Peranap District, Indragiri Hulu Regency, (5) There is no positive and significant influence between Job Satisfaction on Employee Performance at PT Samantaka Batubara, Peranap District, Indragiri Hulu Regency, (6) Job Satisfaction does not mediate Leadership Style on Employee Performance at PT Samantaka Batubara, Peranap District, Indragiri Hulu Regency, (7)  Job Satisfaction cannot mediate Facilities The Effect of Workplace Perspectives on Employee Performance at PT Samantaka Batubara, Peranap District, Indragiri Hulu Regency.

This paper examines how Somaliland’s liberalized, privately led telecommunications sector, once a state monopoly and now dominated by local firms, has become a driver of economic growth, financial inclusion, and infrastructure development, with Telesom as the leading example. Drawing on sectoral history, market composition, and coverage data, the study shows how Telesom and its competitors have built nationwide networks, delivered low-cost services, and enabled mobile money-based financial services in the context of weak formal banking. Focusing on Telesom’s ZAAD platform, the paper analyzes its ecosystem business model (salary payments, merchant networks, and high-frequency transactions), its contribution to financial inclusion, and its alignment with international anti–money laundering and customer due diligence standards. At the same time, it identifies ethical and prudential gaps, especially the absence of formal deposit protection, limited transparency in financial reporting and taxation, and the lack of an independent telecommunications regulator, which pose risks to consumers and systemic stability. Overall, the paper argues that Telesom illustrates how sustainable finance in telecommunications can combine innovation, inclusion, and profitability, provided that stronger governance, disclosure, and consumer protection frameworks are implemented to secure long-term sector resilience. 

Patient-Centered Care (PCC) is a healthcare approach that places the patient at the center of every interaction and clinical decision-making. However, a preliminary study at Tarumajaya Hospital showed that 58% of healthcare workers had not yet optimally implemented the PCC approach. This study aimed to analyze the influence of self-efficacy and social support on the implementation of Patient-Centered Care, with safety culture as a mediating variable, at Tarumajaya Hospital. The research method used was quantitative analytic with a cross-sectional design. The study sample used a saturated sampling technique of 132 healthcare workers, consisting of doctors, nurses, and medical support staff. Data analysis used Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results showed that self-efficacy and social support had a positive and significant effect on safety culture and PCC implementation. Safety culture also had a positive and significant effect on PCC implementation. Furthermore, safety culture was shown to mediate the influence of self-efficacy and social support on PCC implementation. The coefficient of determination value indicates that the model has strong ability to explain variations in PCC.

This research was conducted in April 2024 in Kota Besi Hulu Village, Kota Besi Subdistrict, Kotawaringin Timur Regency. The research location was determined purposively. The objectives of this study were: (1) to analyze the characteristics of tomato farmers in Kota Besi Hulu Village, Kota Besi Subdistrict, Kotawaringin Timur Regency; and (2) to analyze the factors influencing tomato production in the same area. The sampling technique employed was a census (saturated sampling), in which all active tomato farmers who were members of farmer groups in Kota Besi Hulu Village were included as respondents. A total of 64 tomato farmers participated in this study. The data collected were analyzed using the Cobb–Douglas production function model. The results of the study in Kota Besi Hulu Village, Kota Besi Subdistrict, Kotawaringin Timur Regency, indicate important patterns in local farming practices based on data regarding land area, fertilizer use, seed use, pesticide use, and tomato production. The majority of farmers cultivated land ranging from 7,060.12 to 7,614.72 hectares, reflecting a tendency to manage relatively large farm areas. In terms of fertilizer application, most farmers used between 130.05 and 139.53 kilograms, suggesting a preference for higher input levels to achieve optimal yields. Regarding seed use, the dominant range was between 156.04 and 175.36 kilograms, which may contribute to better production outcomes. Pesticide application also showed a dominant pattern within the range of 4,001.72 to 4,878.76 liters, indicating farmers’ primary strategy in controlling pests and diseases.

Education plays a crucial and essential role in improving the quality of human resource globally, thus a research was conducted with the aim of producing a product, namely a learning module. This module is one of the learning resources that can be used by students independently. Therefore, the module was developed to function as a learniing guide for students. The lerning model used in this research is Creative Problem Solving. In this learning model, the teacher presents problems so that students can find answers innovatively and sharpen  their critical thinking skills. The suitability of this learning module will be evaluated based on three aspect, namely validity, practicality, and effectiveness. Based on the research sample data, this consists of students from class XI Electrical Power Installation Techniques (TITL) 1 at SMKN 1 Driyorejo. This method uses the Research & Development (R&D) approach. The analysis of differences in learning outcomes was carried out using the One Group Pretest-Posttest Method, the treatment in the form of a learning module based on the Creative Problem Solving model was given to student. The research result show that (1) the modules suitability is stated as very valid wth a score of 89,60, (2) aspect, it is stataed as very practical with a total average reaching 90,60, (3) effectiveness is proven from the improvement in learning outcomes in terms of knowledge and domains with an average pretest score of 51,3, while the average posttest score is 85 with a significance of 0.000.

The integration of Artificial Intelligence (AI) into precision agriculture has significantly improved plant disease recognition; however, many existing deep learning models remain computationally expensive and feature-redundant, limiting their deployment on low-power and edge devices. To address these limitations, this study proposes a lightweight framework for maize leaf disease recognition based on serial deep feature extraction, dimensionality reduction, and machine-learning–based classification. A pre-trained MobileNetV2 network is employed as a fixed feature extractor to obtain discriminative visual representations, while Principal Component Analysis (PCA) is applied to reduce feature dimensionality by approximately 76%, retaining 95% of the original variance and improving computational efficiency. The compressed features are subsequently classified using a Radial Basis Function Support Vector Machine (RBF-SVM), optimized via grid search and cross-validation. Experiments conducted on a four-class maize leaf disease dataset (Northern Leaf Blight, Common Rust, Gray Leaf Spot, and Healthy), with class imbalance handled during training, demonstrate that the proposed MobileNetV2–PCA–SVM pipeline achieves 97.58% accuracy, 96.60% precision, 96.59% recall, and 96.59% F1-score, outperforming the DenseNet201 + Bayesian-optimized SVM baseline (94.60%, 94.40%, 94.40%, and 94.40%, respectively). This improvement corresponds to a 2.98% accuracy gain, a 55% reduction in error rate, an 86% reduction in model parameters (20.31M to 2.75M), and an 85% reduction in model size (81 MB to 12 MB). These results indicate that the proposed framework provides a compact and efficient solution with strong potential for deployment in resource-constrained agricultural environments.

Dementia is a progressive neurocognitive disorder often accompanied by behavioral and psychological symptoms such as agitation, anxiety, and depression. Pharmacological treatments provide only modest benefits while introducing significant risks, which highlights the need for safer, non-pharmacological alternatives. This literature review examines the role of virtual reality in dementia care, with a focus on its integration with therapies such as music, reminiscence, sensory stimulation, and cognitive training. Evidence from prior research suggests that virtual reality can enhance cognitive functions, reduce symptoms, and improve emotional well-being while also strengthening patient–caregiver interaction. However, challenges related to usability, accessibility, cost, and long-term effectiveness continue to limit adoption. Gaps in research, including limited cultural diversity, inconsistent reporting of intervention design, and a lack of large-scale longitudinal trials, emphasize the need for future work exploring cross-cultural feasibility and AI-driven personalization. Overall, virtual reality represents a promising and evolving non-pharmacological intervention that has the potential to transform dementia care by improving quality of life and reducing reliance on medication.

This study presents a Graph-Augmented Isolation Forest (GAIF), an unsupervised anomaly-detection framework for analyzing mobile user behavior. The proposed framework represents users and behavioral attributes as a user–feature bipartite graph, enabling the capture of relational dependencies that are not explicitly modeled in conventional vector-based approaches. Low-dimensional user representations are learned through Node2Vec and Graph Sample and Aggregate (GraphSAGE), and the resulting embeddings are subsequently processed by an Isolation Forest to produce anomaly scores. Experiments are conducted on a Mobile Device Usage and User Behavior dataset comprising 700 user profiles derived from application-level behavioral indicators. The dataset is treated as a behavioral abstraction rather than as a malware classification benchmark. A consistent 80:20 stratified train–test split is employed, with all learning-capable operations restricted to the training data to mitigate information leakage. Detection performance is evaluated post hoc using precision, recall, F1-score, and area under the curve (AUC) metrics. Under the evaluated setting, GAIF achieves an F1-score of 0.94 and an AUC of 0.97, demonstrating improved anomaly detection effectiveness relative to representative unsupervised baseline methods. These results are obtained on a static, proxy dataset and should not be interpreted as evidence of real-time deployment capability. Model interpretability is supported through post-hoc Uniform Manifold Approximation and Projection (UMAP) visualizations of the learned embeddings, providing structural insights into anomalous user behavior. Overall, the findings indicate that integrating graph-based representation learning with isolation-based anomaly scoring constitutes a computationally efficient approach for unsupervised mobile user behavior anomaly detection within the scope of this study.

This study aims to analyze the externalities of the existence and activities of black grass jelly household crafts on labor absorption and the environment in Gampong Jawa. The study uses primary data obtained from distributing questionnaires. Data collection used a simple random sampling technique with 65 respondents. The model used in this study uses a quantitative descriptive analysis method with results measurement using a Likert scale. The results of the study indicate that the activities of black grass jelly household crafts in Gampong Jawa, Langsa City provide positive externalities on labor absorption with a labor absorption aspect index value of 77.54%. The environmental aspect index value was obtained with a total value of 76.51% which means that it is agreed that the activities of black grass jelly household crafts in Gampong Jawa, Langsa City provide a relatively smaller negative effect/externality, which is only 23.49%.  

Heart disease is the leading cause of death in Indonesia and globally, necessitating an early screening system that is both accurate and clinically trustworthy. Although XGBoost demonstrates high predictive performance, its black-box nature undermines clinical trust, while low recall risks missed diagnosis an unacceptable consequence in population screening, especially in middle-income countries with limited healthcare resources. This study aims to develop a sensitive, transparent, and implementation-ready heart disease screening framework through the integration of SHAP-based Explainable AI. The CDC's Indicators of Heart Disease dataset (319,795 samples) was processed according to WHO/CDC standards, followed by class imbalance handling, hyperparameter optimization using RandomizedSearchCV, evaluation based on metrics sensitive to minority classes (AUC, recall, F1-score, AUC-PR), and threshold tuning to maximize recall. The baseline model showed a very low recall of 12.18%. After optimization and threshold tuning at 0.10, the model achieved recall >96% (96.79%) with a G-mean of 0.7477, supported by SHAP interpretation stability and the ability to capture non-linear interactions between advanced age (AgeCategory_WHO) and poor general health (GenHealth). SHAP analysis confirmed the alignment of dominant features with medical evidence, and its visualizations provide transparent explanations for healthcare professionals indicating its potential implementation as an interpretable clinical decision support system.

This study aims to: (1) Determine the effect of the discovery learning model with the aptitude treatment interaction strategy on the mathematical concept comprehension and self-efficacy of 10th-grade students at SMA Negeri 3 Tarakan; (2) Determine the effect of the discovery learning model with the aptitude treatment interaction strategy on the mathematical concept comprehension of 10th-grade students at SMA Negeri 3 Tarakan; (3) Determine the effect of the discovery learning model with the aptitude treatment interaction strategy on the self-efficacy of 10th-grade students at SMA Negeri 3 Tarakan. The research population included all tenth-grade students of SMA Negeri 3 Tarakan in the 2024/2025 academic year. The research sample consisted of two classes selected randomly: one experimental class receiving discovery learning with an aptitude treatment interaction strategy and one control class receiving conventional learning. The research instruments consisted of a test measuring mathematical concept understanding on trigonometry material and a self-efficacy questionnaire. The data obtained were tested for prerequisites through normality and homogeneity tests before being analyzed using inferential statistical tests in the form of an independent samples t-test with the assistance of SPSS software version 26.0. The research results show that the implementation of the discovery learning model with the aptitude-treatment interaction strategy has a significant impact on students' mathematical concept understanding and self-efficacy simultaneously, with a significance value of 0.006 < 0.05. Partially, this learning model has a significant effect on students' mathematical concept understanding, with a significance value of 0.018 < 0.05. However, the effect of the discovery learning model with the aptitude-treatment interaction strategy on students' self-efficacy is not statistically significant, as indicated by a significance value of 0.089 > 0.05, even though there is a tendency for increased self-efficacy among students participating in the experimental class learning. Nevertheless, the influence of the discovery learning model with the aptitude treatment interaction strategy on students' self-efficacy is not statistically significant in partial terms, although there is a tendency for an increase in self-efficacy among students participating in the experimental class. These findings suggest that the discovery learning model with the aptitude treatment interaction strategy is effective in improving students' understanding of mathematical concepts in trigonometry material and has the potential to support the development of self-efficacy in mathematics learning.