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Semarang Regency, one of the regions in Central Java, Indonesia, possesses considerable potential for the development of smallholder beef cattle farming. One strategy to support the growth of this sector is through partnership arrangements, particularly the gaduhan (cattle-sharing) system, which is widely practiced among smallholder farmers. This study aimed to analyze the gaduhan partnership model in smallholder beef cattle farming and its impact on farmers’ income in Semarang Regency. The research was conducted in August 2025 in Banyubiru and Pabelan Districts using a purposive sampling method involving 30 beef cattle farmers. Data were analyzed using multiple linear regression, with farm scale, farming experience, gaduhan partnership system, production costs, and livestock productivity as independent variables, and farmers’ income as the dependent variable. The results revealed that all independent variables jointly had a significant effect on farmers’ income, as indicated by an F-value of 132.412 and a significance level of 0.000. Partially, farm scale, the gaduhan partnership system, production costs, and livestock productivity significantly affected farmers’ income, whereas farming experience had no significant effect. The coefficient of determination (R²) was 0.883, indicating that 88.3% of the variation in farmers’ income could be explained by the model. The gaduhan partnership model in smallholder beef cattle farming in Semarang Regency is characterized by the influence of farm scale, farming experience, partnership arrangements, production costs, and livestock productivity on farmers’ income. The average income generated under the gaduhan partnership system was IDR 11,400,000, with a profit-sharing ratio of 60:40 between the livestock owner and the farmer.

The School Participation Rate in Semarang Regency is high, yet the quality of human resources remains relatively poor. This study aims to identify the profile of students’ potential and constraints within the framework of Self-Regulated Learning, as well as to analyse the gap between the level of importance and the level of implementation in Semarang Regency. Data were collected via a Self-Regulated Learning questionnaire and analysed using the Importance–Performance Analysis (IPA) method. The results indicate an average importance score of 3.04 and an implementation score of 3.03, suggesting a gap, albeit a relatively small one. The distribution of indicators showed that 14 were in the high-priority category, 10 in the maintain category, 9 in the low-priority category, and 16 in the over-emphasised quadrant. These findings suggest that students are aware of the importance of learning strategies but have not yet been able to implement them optimally. Learning strategies are still dominated by basic, repetitive activities, whilst metacognitive skills and self-regulation have not yet developed optimally.

Heat stress is a major constraint in broiler production systems located in humid tropical climates, where high ambient temperature and relative humidity impair growth performance, feed efficiency, and animal welfare. This systematic review synthesizes peer-reviewed studies published between January 2015 and December 2025 evaluating environmental housing designs and cooling strategies for mitigating heat stress in broiler chickens. This systematic review followed the PRISMA 2020 guidelines and synthesized peer-reviewed studies retrieved from Scopus, Web of Science, and ScienceDirect, published between January 2015 and December 2025. From 500 records initially identified, 26 studies fulfilled the predefined eligibility criteria and were included in the qualitative synthesis. The findings demonstrate that evaporative cooling systems, tunnel ventilation, and automated climate control technologies consistently reduced indoor temperature (2–6°C) and improved body weight gain, feed conversion ratio (FCR), and mortality rates under hot-humid conditions. However, cooling efficiency was strongly influenced by ambient humidity, necessitating integrated and adaptive environmental control approaches. Smart sensor-based systems further enhanced microclimate stability and thermal uniformity within broiler houses. Beyond performance improvements, optimized environmental management reduced physiological stress indicators, including heterophil-to-lymphocyte ratios and corticosterone levels. Overall, integrated, humidity-adaptive, and energy-efficient cooling strategies are essential to sustain productivity, welfare, and climate resilience in tropical broiler production systems.

Cattle farming plays a strategic role in rural economic development by generating employment, supplementary household income, and contributing to food and nutritional security. However, in Indonesia, most smallholder cattle enterprises remain traditional and small-scale, leading farmers to treat livestock farming primarily as a secondary livelihood. While previous studies have largely focused on technical adoption and production performance, limited attention has been given to farmers’ psychological interest as a foundation for sustaining livestock enterprises. Therefore, this study aims to analyze the level of community interest in cattle farming and examine the influence of farmers’ characteristics (age, education level, herd size, number of family dependents, farming experience, and primary income) on such interest. A quantitative survey was conducted involving 34 cattle farmers in Taji Village, Jabung District, Malang Regency, selected using total sampling. Data were collected through structured questionnaires and analyzed using multiple linear regression. The findings reveal that community interest in cattle farming is generally high, as reflected in emotional (3.93), cognitive (3.81), and conative (3.74) dimensions measured on a four-point Likert scale. Regression results indicate that age has a significant positive effect (p = 0.022), whereas farming experience has a significant negative effect (p = 0.025) on interest levels. Other variables show no statistically significant influence. These findings highlight that psychological engagement in cattle farming is shaped more by demographic and experiential factors than by formal education or income level. The study contributes to the literature by positioning interest as a psychological determinant of livestock sustainability. Policy implications emphasize the urgency of risk-mitigation extension programs to address farmer burnout, incentivized intergenerational knowledge transfer, and cooperative-based institutional support to ensure smallholder livestock sustainability.

This study aims to analyze and compare the cabin noise levels of the Mitsubishi Destinator Ultimate variant (sunroof) and Exceed variant (non-sunroof) under various driving speed conditions. Measurements were conducted using a Sound Level Meter inside the cabin at idle, 10, 30, 50, 70, 90, and 100 km/h. Results indicate that the Ultimate (sunroof) variant consistently produces higher noise levels than the Exceed (non-sunroof) variant across all speed variations. The largest noise difference was recorded at 100 km/h at 6.50 dB, while the smallest occurred at idle at 0.05 dB. Noise levels in both variants increased significantly with increasing speed, with the sunroof variant reaching 70.00 dB and the non-sunroof variant reaching 63.50 dB at 100 km/h. This difference is attributed to gaps and seals in the sunroof panel, which allow greater noise penetration from the external environment.

This study aims to evaluate the level of sharia compliance in musyarakah contracts within micro-enterprise financing. Musyarakah is a partnership-based financing contract that emphasizes cooperation, profit-sharing based on an agreed ratio (nisbah), and proportional risk sharing in accordance with each party’s capital contribution. In practice, the implementation of musyarakah contracts in micro-enterprise financing must be assessed against the Fatwa of the National Sharia Council–Indonesian Ulema Council (DSN-MUI), principles of fiqh muamalah, and Islamic banking regulatory frameworks in Indonesia. The findings show that the implementation of musyarakah working capital financing in Islamic banking is generally in the good category. However, two non-compliance issues with sharia principles were identified. First, there is an imbalance in work participation, where the business is fully managed by the customer while the bank only provides supervision and guidance without active involvement, whereas active participation of partners is a fundamental principle of musyarakah. Second, there is an element of riba due to the use of a fixed profit-sharing scheme, even though profits in musyarakah should be uncertain and based on actual business performance. The study implies that Islamic banks need to improve musyarakah implementation to ensure full compliance with DSN-MUI fatwas, particularly in terms of active bank participation and non-fixed profit-sharing arrangements. Properly implemented, musyarakah financing can strengthen micro and small enterprises by promoting justice-based and risk-sharing economic cooperation.

Intercultural Communicative Competence (ICC) has become a key objective of English language education; however, its implementation in Indonesia remains insufficiently understood. This study investigates the alignment between ICC expectations in the Kurikulum Merdeka, English textbooks, and classroom practices in Indonesian senior high schools. An exploratory sequential mixed methods design was employed, involving document analysis of four government-issued English textbooks for grades X–XII, classroom observations in 15 schools across three provinces, a survey of 87 English teachers, and in-depth interviews with 18 teachers and 36 students. The findings reveal a three-level gap. First, the curriculum acknowledges ICC but lacks clear and measurable operational guidelines. Second, textbooks predominantly emphasize Anglo-American culture (64.8% of cultural content) while providing limited representation of Indonesian and global cultures. Third, 78.2% of teachers reported not explicitly integrating cultural dimensions into English instruction, resulting in stereotypical and culturally limited classroom practices. To address these issues, the study proposes the Triangulated Cultural Literacy (TCL) framework, integrating reflection on learners’ own culture, balanced exploration of target cultures, and intercultural negotiation. The findings highlight the need to operationalize ICC in the curriculum, improve textbook cultural representation, and strengthen teachers’ intercultural pedagogical competence.

Background:The digital transformation in education requires teachers to possess adequate competencies in utilizing technology to support innovative, interactive, and student-centered learning. However, the integration of digital platforms into classroom practices remains limited due to teachers’ varying levels of digital competence and experience. This community service program aimed to improve teachers’ competencies in utilizing digital platforms to support innovative learning implementation at SMAN 8 Banda Aceh. Methods:The program employed a participatory approach consisting of needs assessment, workshops, hands-on practice, mentoring, evaluation, and reflection activities. A total of 40 teachers from various subject areas participated in the program. The training materials included the use of Canva for developing digital learning media, Quizizz for gamified assessments, Google Workspace for collaborative learning, and Artificial Intelligence (AI) technologies to assist in instructional material development and creative learning activities. Program evaluation was conducted through participant observation, assessment of digital learning products, satisfaction questionnaires, and reflective discussions. Results: The results showed that participants successfully produced 18 interactive presentations using Canva, 10 digital modules, 8 Quizizz-based quizzes, and 4 evaluation instruments using Google Forms. Furthermore, teachers demonstrated improved competencies in designing digital learning media, developing technology-based assessments, integrating digital platforms into instructional practices, and utilizing AI as a learning support tool. The high level of participation and enthusiasm among participants indicated the effectiveness of the program in strengthening teachers’ digital literacy and technological competencies. Conclusion: In conclusion, the community service program successfully enhanced teachers’ competencies in utilizing digital platforms to support innovative learning in schools.

This study aims to design and implement a simple solar panel-based battery charging system equipped with protection and voltage limiting circuits. The study was conducted to address the limitations of a direct solar panel-to-battery connection, which may cause short-circuit risk, reverse current, unstable charging voltage, and excessive battery charging. This research used a design-based experimental approach. The system was developed by preparing a block diagram, dividing it into several functional sub-blocks, and implementing the design into an electronic circuit. The main circuit sections consisted of solar panel protection, voltage limiter, interlocking circuit breaker, power regulator, and voltage divider. The assembled circuit was tested through real-time measurement by observing solar panel output voltage under different time and sky conditions and measuring battery charging time from different initial voltage levels. The results show that the solar panel output voltage varied according to time and weather condition. The lowest measured voltage was 15.0 V under cloudy conditions, while the highest measured voltage was 25.2 V under clear sky conditions around midday. The battery charging test showed that lower initial battery voltage required longer charging time, while voltage closer to the target level required shorter charging time. The evaluation was limited to voltage measurement and charging time; charging current, battery temperature, solar irradiance, and charging efficiency were not measured in detail. The proposed system can be applied for small-scale solar charging, educational practice, and basic renewable energy experiments. The study offers a practical circuit model that integrates protection, interlocking, voltage limiting, and regulation functions using simple and accessible electronic components.

The high number of elderly people has led to various health problems that must be faced. However, there are still elderly people who are reluctant to carry out regular physical activity, so the health status and quality of life of the elderly also decline. Aims: This systematic review aims to identify the relationship between social cognitive theory (SCT) on physical activity in the elderly. Methods: This systematic review method approach is based on PRISMA. This systematic review examines several research articles from journal databases, namely PubMed and ScienceDirect, and obtained 13 articles in 2019-2024. The keywords used in the search are “Social Cognitive Theory”, “SCT”, “Physical Activity”, “PA”, and “Elderly”. The articles reviewed met the inclusion criteria, namely relevant article topics, original research articles in English, and publications in the last five years. The eligibility criteria were then assessed separately using the JBI Critical Appraisal Checklist tool.  Results: From a total of 13 articles reviewed, it can be concluded that the majority of articles explain how important the social cognitive patterns that elderly people must have in relation to the physical activity of the elderly, such as predicting the physical activity of the elderly, increasing the exercise behavior of the elderly, influencing the level of physical activity for people with chronic diseases, and adjusting physical activity with the abilities of the elderly. The higher an elderly person's social cognition, self-efficacy, encouragement, and social support to be able and willing to carry out physical activities in accordance with the elderly's abilities and physical condition. Conclusion: The social cognition of the elderly places more emphasis on the ability of the elderly to learn things around them, so that the elderly have self-efficacy, encouragement, and social support to do things in according to their goals and beliefs. Health workers in provide health services to the community, social cognitive theory can be used for alternative to increase the physical activity of the elderly. A personalized smartphone-based intervention based on SCT is highly effective for promoting physical activity in older adults.  

Small-scale fishers and aquaculture producers in Grobogan Regency face a dual challenge: weak bargaining power within traditional marketing structures and growing pressures on fisheries resources at the regional level. On the one hand, long distribution chains and dependence on intermediaries limit market access and price transparency. On the other hand, stock pressures in the Java Sea create supply uncertainty and income instability. This study aims to analyze the role of marketing digitalization in strengthening the economic resilience of small-scale producers in Grobogan and to propose an integrative framework linking technology-driven distribution with resource sustainability. The study adopts a qualitative case-study design, drawing on secondary data from official statistics (including BPS publications and the 2023 Agricultural Census for the fisheries subsector), as well as relevant scholarly literature and policy documents. Data are analyzed using descriptive-qualitative and thematic approaches to map business structures, value chains, and the opportunities and constraints of digital adoption. The findings indicate that marketing digitalization can shorten supply chains, enhance price transparency, and expand market access for small-scale producers. However, its effectiveness depends on human capital readiness, supporting infrastructure particularly cold-chain and logistics and stronger local institutions. Without integration with sustainable resource management, expanded market access may incentivize production intensification and increase ecological pressure. The novelty of this paper lies in proposing an integrative framework that combines the digital economy dimension with the ecological dimension within the local context of Grobogan to inform sustainable small-scale fisheries empowerment strategies.

The rapid growth of digital technology has encouraged school counseling services to adapt to the needs of students who are highly connected to digital media. This study aimed to audit the implementation of Digital Counseling Reality in counseling services at SMA Negeri 15 Medan to examine the level of technology integration within counseling practices. Data were collected through interviews, observations, document reviews, and digital audit instruments involving the counseling coordinator, school counselors, and students. The findings revealed that the school has utilized social media, consultation platforms, digital assessments, online counseling, and data-based evaluations in delivering counseling services. School counselors demonstrated positive attitudes toward e-counseling and showed adequate technological competence, while students expressed positive perceptions regarding comfort, accessibility, and the necessity of digital counseling services. The audit result reached a score of 23, placing the school in the digital-integrated category. These findings indicate that technology has become an essential component of counseling services and contributes to improving service quality, accessibility, and effectiveness for students.

One key measure of a region's economic growth is the employment rate, as it reflects the ability of the economy to absorb labor and improve community welfare. In Jambi Province, employment opportunities are influenced by several factors, including Gross Regional Domestic Product (GRDP), population growth, and the Human Development Index (HDI). This study aims to analyze the effects of GRDP, population growth, and HDI on employment growth rates across regencies and cities in Jambi Province. The research employs a quantitative approach using panel data regression analysis covering 11 regencies and cities during the period 2017–2023. The findings indicate that GRDP growth, population growth, and HDI simultaneously influence employment levels. Partially, population growth and HDI have significant effects on employment, indicating that improvements in human development and demographic dynamics contribute to labor absorption. Meanwhile, economic growth, as measured by GRDP, has a relatively small negative effect on employment. This suggests that economic expansion does not always generate proportional employment opportunities, possibly due to structural changes and technological developments. Therefore, policies aimed at improving human capital and labor market conditions are essential to support sustainable employment growth in Jambi Province.

The quality of boiler feedwater is a crucial factor in maintaining the operational reliability of ship machinery systems against the risks of corrosion and scale formation. This research focuses on the design and development of a real-time monitoring system based on the Internet of Things (IoT) to automatically determine water quality. The hardware development utilizes a NodeMCU ESP32 microcontroller that integrates four main sensors: a pH sensor, a DS18B20 temperature sensor, a Total Dissolved Solids (TDS) sensor, and a turbidity sensor. The methodology applied is an experimental systems engineering model, encompassing circuit design, software programming, and the implementation of simple artificial intelligence. The automatic decision-making process in this tool is designed using zero-order Sugeno fuzzy logic with input parameters of turbidity, salinity, and acidity level (pH). The obtained data is transmitted wirelessly to a Firebase database and visualized through a 0.96-inch OLED display. Functional tests on seven fluid characteristics including pure water, hard water, and muddy water show that this prototype can accurately classify water quality into Good, Fair, and Poor categories. The main contribution of this design is the provision of a preventive, efficient, and applicable boiler maintenance solution for the modern shipping industry.

This study aims to examine the effect of accounting system digitalization, financial literacy, and financial management on the sustainability of Micro, Small, and Medium Enterprises (MSMEs) in Medan Tembung District. This research uses a quantitative method with an associative approach. The population in this study consists of all MSMEs in Medan Tembung District, totaling 48 MSMEs; therefore, a saturated sampling technique was used, meaning all population members were selected as the sample. The data used are primary data collected through questionnaires and analyzed using descriptive statistical tests, validity tests, reliability tests, classical assumption tests, multiple linear regression analysis, and hypothesis testing with the assistance of SPSS version 26. The results show that accounting system digitalization has a positive and significant effect on MSME sustainability. Financial literacy also has a positive and significant effect and is the most dominant variable influencing MSME sustainability. In addition, financial management has a positive and significant effect on MSME sustainability. Simultaneously, the three variables significantly affect MSME sustainability in Medan Tembung District. The coefficient of determination indicates that the independent variables explain most of the variation in MSME sustainability, while the remaining variation is influenced by other factors outside this study. Therefore, it can be concluded that MSME sustainability is strongly influenced by the implementation of accounting system digitalization, the level of financial literacy, and the financial management capabilities of business owners.

Background: Menstruation is a natural physiological process that indicates the functional maturity of the female reproductive system. Menstrual cycle disorders can be influenced by several factors, including stress and obesity. Stress may cause hormonal changes through the hypothalamic-pituitary axis, leading to decreased luteinizing hormone (LH) levels and menstrual irregularities. Obesity can also affect ovarian function and disrupt the menstrual cycle. Objective: To determine the relationship between stress and obesity with menstrual cycle disorders among female adolescents at SMAN 1 Majene in 2026. Methods: This study used an analytical observational design with a cross-sectional approach. Data on stress levels, obesity status, and menstrual cycle disorders were collected simultaneously from 84 female respondents. The chi-square test was used to analyze the relationships among variables. Results: The analysis showed a significant relationship between stress and menstrual cycle disorders (p = .006; α < .05). A significant relationship was also found between obesity and menstrual cycle disorders (p = .002; α < .05). Many obese respondents experienced irregular menstrual cycles. Conclusion: There is a significant relationship between stress and obesity with menstrual cycle disorders among female adolescents at SMAN 1 Majene.

Batik motif classification has attracted growing attention in visual computing due to its role in cultural heritage preservation, textile informatics, museum documentation, and automated cataloging. Although many studies report high classification accuracy, robustness under real-world acquisition conditions remains insufficiently understood. Batik images are frequently affected by illumination variation, blur, folds, watermark overlays, wearable deformation, scale inconsistency, and background clutter, creating challenges that extend beyond conventional image-noise assumptions. Existing studies largely focus on improving classification performance, while the interactions among acquisition variability, feature representation, evaluation practice, and deployment constraints remain fragmented. This systematic literature review addresses this gap by synthesizing batik classification research through a robustness-aware perspective. Using query expansion, backward and forward citation chaining, relevance screening, and thematic coding, 116 candidate records were identified, resulting in 50 highly relevant studies for detailed analysis. The review reveals that robustness is shaped less by denoising alone than by the combined effects of acquisition conditions, representation design, evaluation realism, and deployment context. Handcrafted descriptors remain competitive for small datasets and structured motifs due to their data efficiency and interpretability, whereas deep learning models achieve the highest reported accuracy when supported by sufficient data diversity and realistic augmentation. Hybrid representations emerge as the most consistently balanced approach, combining local texture stability with higher-level abstraction across heterogeneous acquisition settings. The review further identifies recurring robustness failure patterns, including background dependency, illumination instability, motif-scale inconsistency, wearable deformation, and source-shift vulnerability. Based on these findings, a robustness-oriented research agenda is proposed, emphasizing cross-acquisition evaluation, representation-stability analysis, batik-specific robustness benchmarks, acquisition-aware augmentation, and deployable lightweight or hybrid architectures. The study contributes a domain-specific synthesis that reframes batik motif classification from an accuracy-centric task toward a robustness-aware visual recognition problem.

This study aims to develop and evaluate the feasibility of Teknoran, a website-based digital learning medium developed through the Canva application for the Office Technology subject in Grade X at SMKN 31 Jakarta. The study was motivated by learning activities that were still dominated by lecture methods and limited learning media. Teknoran was designed to facilitate learning through integrated features such as learning materials, assignments, and educational games within a single platform. This research employed the Research and Development (R&D) method using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. Data were collected through observation, needs analysis questionnaires, validation sheets from material and media experts, and student response questionnaires during one-to-one and small group trials. Data were analyzed using descriptive quantitative and qualitative techniques. The results showed that the Teknoran website achieved a feasibility score of 95% from material experts and 93.33% from media experts, both categorized as “Very Feasible.” Student responses also indicated a very high level of acceptance, with an average score of 95.68%. These findings demonstrate that Teknoran is highly feasible as a digital learning medium and can support more interactive, flexible, and independent learning in Office Technology subjects at SMKN 31 Jakarta.

In Islam, prayer (salat) is a fundamental obligation that must be performed under all circumstances, including during illness. Muslim patients have high spiritual needs, in which religious practices serve as a source of strength in coping with disease. Although Islam provides concessions (rukhsah) in performing prayer for the sick, limitations in patients’ understanding of how to perform prayer according to their health conditions are still found. This lack of knowledge may affect the proper practice of prayer during hospitalization. Therefore, this study aims to identify patient characteristics related to the practice of prayer, to examine the level of knowledge of the five daily prayers in relation to their practice among patients, and to analyze patients’ overall level of knowledge regarding prayer. This study employed a quantitative method with a cross-sectional design. The results show that patient characteristics, particularly productive age and higher educational level, contribute to their ability to perform prayer during hospitalization. A significant relationship was found between the level of knowledge of prayer and its practice, where better understanding was associated with more optimal religious practice. Overall, most patients had a high level of knowledge of prayer, although a small proportion still had low knowledge, indicating the need for spiritual education. It can be concluded that the level of knowledge of prayer is associated with the quality of prayer practice among Muslim patients at RSUD Haji Makassar. Strengthening spiritual education is needed to support the fulfillment of patients’ religious needs during hospitalization.

Abstract: Detecting chili leaf diseases remains challenging due to the non-uniform manifestation of symptoms, local discoloration, small lesion regions, and visual similarity between disease patterns and natural leaf background variations. Although YOLO-based detectors provide favorable computational efficiency, lightweight variants often struggle to distinguish subtle lesion characteristics, while conventional attention mechanisms such as CBAM primarily rely on global feature aggregation and may overlook regional activation variability. To address these limitations, this study proposes a YOLOv9s-based detection framework integrated with a Region-Dispersion Channel Spatial Attention (RDCSA) module. The proposed module incorporates regional dispersion statistics, namely mean, standard deviation, and range, as channel descriptors to capture inter-region feature variability before applying spatial attention refinement. Experiments were conducted on the COLD dataset containing 532 original images from five chili leaf condition categories using a split-before-augmentation protocol to ensure objective evaluation. RDCSA was integrated at the P5 feature level and evaluated through attention placement analysis, component-wise ablation, sensitivity analysis, stability assessment, and comparison with modern attention mechanisms. The proposed YOLOv9s + RDCSA model achieved an mAP@50 of 0.894, mAP@50–95 of 0.773, precision of 0.858, recall of 0.861, and an F1-score of 0.859 with only a marginal increase in model parameters. The results suggest that regional dispersion-based attention improves feature discrimination while preserving computational efficiency, particularly for disease symptoms characterized by heterogeneous spatial patterns. Nevertheless, performance remains influenced by visually ambiguous symptom categories, indicating that further validation across multiple datasets and field conditions is required. Overall, the proposed RDCSA module enhances detection capability without substantially increasing computational overhead, making it a promising attention mechanism for lightweight plant disease detection systems.