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Fish farming using the biofloc system is a technological innovation capable of increasing efficiency, production results, and the sustainability of fisheries business at the village level. This study aims to determine the development of fish farming businesses using the biofloc system in increasing family income in Sembuluh village. Then, it aims to understand the impact of using the biofloc system in increasing family income and to understand the Islamic economic perspective on the utilization of the biofloc system in increasing family income. The method used is a qualitative or field research approach with purposive sampling techniques to collect data from 5 fish farmers who implement the biofloc system. Data were collected through in-depth interviews, observation, and documentation, then analyzed descriptively. The research results show that fish farming using a biofloc system is able to increase family income through increased production and feed cost efficiency. This system supports more controlled pond management, maintains water quality, and produces more stable harvests. In addition to increasing income, the implementation of the biofloc system also strengthens family economic resilience due to planned harvest cycles and group cooperation. From an Islamic economic perspective, this practice aligns with the principles of halal, honesty, justice, and social responsibility, as well as providing benefits for families and the community.

Fish farming using the biofloc system is a technological innovation capable of increasing efficiency, production results, and the sustainability of fisheries business at the village level. This study aims to determine the development of fish farming businesses using the biofloc system in increasing family income in Sembuluh village. Then, it aims to understand the impact of using the biofloc system in increasing family income and to understand the Islamic economic perspective on the utilization of the biofloc system in increasing family income. The method used is a qualitative or field research approach with purposive sampling techniques to collect data from 5 fish farmers who implement the biofloc system. Data were collected through in-depth interviews, observation, and documentation, then analyzed descriptively. The research results show that fish farming using a biofloc system is able to increase family income through increased production and feed cost efficiency. This system supports more controlled pond management, maintains water quality, and produces more stable harvests. In addition to increasing income, the implementation of the biofloc system also strengthens family economic resilience due to planned harvest cycles and group cooperation. From an Islamic economic perspective, this practice aligns with the principles of halal, honesty, justice, and social responsibility, as well as providing benefits for families and the community.

This study aims to examine the quality of assessment instruments in educational research through a literature review approach. The focus of this study includes the analysis of validity, reliability, item difficulty level, and item discrimination index as the main indicators in determining instrument quality. This research employs a literature review method by examining various relevant scientific sources published within the last five years. The findings indicate that validity plays a role in ensuring the accuracy of the instrument in measuring the intended construct, while reliability refers to the consistency of measurement results. In addition, the difficulty level provides an overview of item characteristics, and the discrimination index functions to differentiate students' abilities. These four aspects are interrelated and serve as the foundation for producing accurate and effective assessment instruments. The implications of this study suggest that comprehensive instrument testing is essential to improve the quality of educational evaluation and to support appropriate decision-making in the field of education.

This study examines teachers’ understanding of the basic concept of school community relations from an outcome prespective in elementary schools. The relationship between schools and the community plays an important role in supporting the effectiveness of educational programs and improving the quality of learning outcomes. Theacers act as key actors who connect schools with parents and the surronding community. Therefore, understanding the concept of school and community relations is essential to build effective communication and collaboration. The researgh used a qualitative approach with a literature study method. Data were collected from relevant academic sources such as journal articels, book, and previous reaseacrh related to school and community relations and educcational management. He collected data were analyzed using descriptive qualitative analysis through data reduction, data presentation, and conclusion drawing. The results of the study indicate the techers’ understanding of the concept of school and community relations countributes significantly to strengthening cooperation between schools and the community. Effective collaboration can increase community partisipation, support school programs, and create positive educational outcomes for students and institutions. Thus, strengthening teachers’ understanding of school and community relations is important to improve the quality and effectiveness of education in elementary schools.

This study aims to: (1) describe the quality of mathematical understanding of Grade IX students at MTs Negeri Karangasem on the topic of curved surface solids, (2) identify the level of mathematics anxiety, and (3) examine the relationship between mathematical understanding and mathematics anxiety. This research employed a quantitative approach involving 100 students selected from 130 Grade IX students. Mathematical understanding data were collected using a three-item test based on indicators of instrumental, relational, and logical understanding, while mathematics anxiety data were obtained through a 30-item questionnaire. All instruments were validated by experts and showed adequate reliability based on Cronbach’s Alpha. Data were analyzed using descriptive statistics, while the relationship between variables was tested using the Chi-Square test and the Fisher Freeman Halton Exact Test. The results show that most students (80%) have not yet achieved adequate mathematical understanding, while 20% demonstrate instrumental understanding. In terms of anxiety, 84% of students experience moderate anxiety, 11% high anxiety, and 5% low anxiety. Most students (67%) fall into the category of moderate anxiety with low understanding. Statistical results indicate that mathematical understanding and mathematics anxiety are significantly related.

This study examines the influence of Organizational Support and Work Engagement on Lecturer Performance in higher education institutions. Using a quantitative descriptive approach and Structural Equation Modeling (SEM), the research analyzes data from 190 respondents, comprising lecturers from various universities in Medan. The results show that Organizational Support has a significant positive effect on Lecturer Performance with a path coefficient of 0.265, a T statistic of 5.87, and a P value of 0.000, indicating a strong and highly significant impact. On the other hand, Work Engagement also positively affects Lecturer Performance, with a path coefficient of 0.107, a T statistic of 2.977, and a P value of 0.001, which is significant but with a smaller effect compared to Organizational Support. The R-squared value for Organizational Support is 0.656, indicating that 65.6% of the variance in Organizational Support is explained by the model. The findings highlight the importance of organizational support in fostering a productive academic environment, leading to improved lecturer performance. This research provides practical insights for higher education institutions aiming to enhance teaching quality and academic outcomes.

Background: The Quran is a guide for Muslims, so the ability to read the Quran correctly according to the rules of tajweed (tahsin) is a crucial basic competency. At the Ar Royyan Pacitan Quranic Education Center (TPQ), several students still have weaknesses in the pronunciation of the letters and the accuracy of the length of the recitation (mad). Objective: This community service activity aims to educate and improve the students' mastery of tahsin in order to achieve a quality Quran recitation that meets the standards of tajweed. Method: The talaqqi and musyafahah methods are used, in which students listen directly to examples of recitation from the teacher and then practice them repeatedly. The stages of the activity include a placement test, the provision of practical theoretical material, and intensive recitation guidance (setoran). Results: The educational results show a significant increase in the fluency of letter pronunciation (makharijul huruf) and the accuracy of basic tajweed rules among the students. Furthermore, students' motivation to learn increased along with their understanding of the importance of reading the Quran with tartil. Conclusion: Tahsin education through interactive and intensive methods has proven effective in improving the reading quality of students at TPQ Ar Royyan. Ongoing mentoring is recommended to maintain and develop these skills.    

This study is motivated by the leadership of the principal at MTs Darul Falah Sumbergempol Tulungagung, who involves all school personnel in school activities. Although the principal’s tenure is relatively new, the principal has been able to implement continuous changes to advance the institution and improve the quality and services of the school. The research employed a qualitative approach. Data were collected through participant observation, in-depth interviews, and documentation. The data analysis techniques included (1) data reduction, (2) data display, and (3) conclusion drawing/verification. The results of this study indicate that: (1) The principal’s strategy in mobilizing subordinates to improve the quality of learning at MTs Darul Falah Sumbergempol Tulungagung is carried out by ensuring that teachers perform their duties professionally, participating directly in the preparation of lesson plans (RPP), selecting competent teachers to guide students in self-development activities, providing explanations and motivation to subordinates regarding the implementation of tasks in the madrasah, and giving instructions to enhance staff capabilities by forming well-organized teamwork. (2) The principal’s strategy in influencing subordinates to improve the quality of learning is implemented by enhancing personnel performance, providing rewards to subordinates, setting a good example, showing concern and attention, improving welfare, motivating subordinates, and supporting as well as appreciating their achievements. (3) The principal’s strategy in encouraging improvements in the quality of learning is carried out by inviting subordinates to enhance teachers’ competencies, motivating teachers to be productive and innovative, coordinating the outcomes of teachers’ work, consistently evaluating teachers’ activities, conducting official meetings, providing motivation during these meetings, and setting an example by arriving at school earlier than others.   

The farmer empowerment program in Dilem Village, Gondang District, was implemented through training on the production of solid compost based on livestock manure as an effort to enhance the independence and agricultural productivity of the local farming community. This training was designed to utilize local resources through a village potential–based approach that emphasizes the optimization of livestock waste and organic materials available in the surrounding environment. The implementation methods included socialization activities, material delivery, hands-on practice in compost production, and post-training assistance to ensure the sustainability of technology application at the farmer level. The results of the program indicated an increase in farmers’ knowledge and skills in the compost-making process, enabling them to produce organic fertilizer independently and reduce dependence on chemical fertilizers. This program also had a positive impact on soil quality, production cost efficiency, environmental cleanliness, and supported environmentally friendly and sustainable agricultural practices. Thus, this training activity contributes to strengthening the local economy, improving farmers’ welfare, and developing a sustainable agricultural system based on local resources in Dilem Village in a continuous and practical manner.

The greening program is an important effort to improve environmental quality and strengthen community awareness of ecological sustainability. This study aims to describe the implementation of tree-planting activities carried out by university students in Kalikatir Village through a participatory approach. The research employed a qualitative descriptive method, using observation, interviews, and documentation as data-collection techniques. The findings indicate that community participation plays a significant role in the success of the program, particularly in selecting planting locations, providing tools and support, and maintaining the planted trees. The greening activities have produced positive impacts, including increased vegetation cover, a cooler village environment, and stronger community awareness of the importance of green spaces. Moreover, collaboration between students and local residents has enhanced social cohesion and supported the sustainability of environmental initiatives. This study concludes that a participatory approach combined with a qualitative descriptive method is effective in understanding the dynamics of implementing greening programs at the village level.

Introduction: Appendectomy is a relatively safe surgical procedure. One important aspect of this stage is maintaining the patient's mental stability, especially before administering anesthesia. However, anesthesia often causes anxiety in patients. Mindfulness-based cognitive therapy has been shown to significantly improve quality of life by minimizing anxiety. Objective: This study analyzed the effect of Mindfulness-based cognitive therapy (MCT) in reducing pre-anesthetic anxiety in appendectomy patients. Methods: This study used a case study design with a nursing care process approach. The subjects in this case study were two patients who met the inclusion criteria. The instrument used was an observation sheet according to the Indonesian Society for Anesthesia and Clinical Trials (SLKI). Results: The results of the case study showed that both patients experienced pre-anesthetic anxiety. After receiving Mindfulness-based cognitive therapy, pre-anesthetic anxiety decreased. Conclusion: This case study demonstrated that pre-anesthetic anxiety decreased after Mindfulness-based cognitive therapy.

Indonesian fashion SMEs have significant export opportunities, but their export performance remains suboptimal as not all businesses are able to convert innovation, digitalisation, and market orientation into tangible international competitiveness. This study aims to analyse the determinants of Indonesian fashion SMEs’ export performance from the perspectives of the Resource-Based View and Internationalisation Theory. The study employs an explanatory quantitative approach using a cross-sectional survey design involving 200 owners or key managers of fashion SMEs in East Java, selected through purposive sampling. Data were analysed using SEM-PLS. Simulation results indicate that internal capabilities, international market orientation, and access to international networks have a positive influence on competitive advantage, whilst competitive advantage has a positive influence on export performance. Internal capabilities and access to international networks also demonstrate a significant direct influence on export performance, whilst international market orientation is not directly significant but operates through competitive advantage. The implication is that strategies to boost fashion SME exports should focus on strengthening innovation, quality, brand differentiation, and international market networks, rather than merely on symbolic digital adoption.  

Students in the transition period are vulnerable to experiencing mental health problems and tend to self-diagnose due to easy access to information and low mental health literacy. This research aims to determine the relationship between mental health literacy and the tendency to make a diagnosis in students at the Faculty of Public Health, Nusa Cendana University, Kupang. This type of research is quantitative research with a correlational approach. Respondents in this study numbered 301 people using probability sampling techniques. Data collection techniques used the mental health literacy scale and self-diagnosis scale. Data analysis uses the product moment correlation test. The research results show that there is a significant negative relationship between mental health literacy and self-diagnosis (r = -0.846 < 0.05), which means that the higher the mental health literacy, the lower the tendency for self-diagnosis in students, and vice versa. In addition, mental health literacy contributed 71.6% to the tendency of self-diagnosis. It is hoped that students not only have a high level of mental health literacy but also quality, so that they realize that self-diagnosis is an inappropriate action and students are expected to take advantage of available professional mental health services.

Hypertension is one of the most common health problems among the elderly and has the potential to cause serious complications such as heart disease and stroke. Dietary patterns and lifestyle factors are known to play an important role in increasing blood pressure, particularly fat intake and sleep quality. This study aimed to analyze the relationship between fat intake and sleep quality with the incidence of hypertension among elderly individuals in the coastal area of Tuban District. This study used an analytical observational design with a case-control approach. The total number of respondents in this study was 136 elderly individuals, consisting of 68 cases (elderly with hypertension) and 68 controls (elderly without hypertension). Data on fat intake were obtained using a 24-hour food recall method, while sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Data were analyzed using the Pearson Chi-Square test with a significance level of α ≤ 0.05. The results showed that there were significant relationships between fat intake (p = 0.000) and sleep quality (p = 0.000) with the incidence of hypertension among the elderly in the coastal area of Tuban District. Elderly individuals with high fat intake and poor sleep quality were more frequently found in the hypertension group compared to the non-hypertension group. In conclusion, fat intake and sleep quality are associated with the occurrence of hypertension among the elderly. Hypertension control efforts can be carried out through limiting fat intake and maintaining good sleep quality.

This research investigates how digital transformation contributes to innovation in public services as part of the move toward smart governance. The study employs a literature review approach by evaluating a variety of pertinent materials, which include global journals, scholarly books, and official publications from the years 2018 to 2025. Results show that digital transformation notably enhances the quality of public services regarding their efficiency, effectiveness, openness, and ease of access. The incorporation of technologies like e-government platforms, mobile apps, artificial intelligence, and big data analysis allows governments to provide services that are quicker and more responsive. Additionally, digital platforms foster public involvement by offering means for communication and participation in decision-making activities. Despite these advancements, there are still several obstacles to overcome, such as the digital divide, insufficient infrastructure, low levels of digital skills, and resistance to change within bureaucracy. These issues emphasize the need for cohesive strategies that include investment in technology, development of human resources, and regulatory assistance. The study concludes that digital transformation is vital for achieving smart governance; however, its effectiveness relies on the preparedness of infrastructure, institutions, and society to embrace digital advancements.

This study was motivated by issues related to nurses’ work compliance in implementing nursing care in the inpatient wards of Dr. Dradjat Prawiranegara Regional General Hospital, Serang. Compliance with nursing care standards is a key indicator of healthcare service quality; however, inconsistencies in the implementation of procedures are still found in practice. The low level of work compliance is presumed to be influenced by nurses’ responsibility and competence, with organizational commitment acting as an intervening variable. This study aimed to analyze the effect of responsibility and competence on nurses’ work compliance, with organizational commitment as an intervening variable.This research employed a quantitative approach with an explanatory research design. The study was conducted among inpatient ward nurses, with a total sample of 168 nurses. Data were collected through questionnaires and analyzed using Structural Equation Modeling (SEM) with the SEM-PLS program.The results showed that responsibility and competence had a positive and significant effect on organizational commitment. Furthermore, responsibility, competence, and organizational commitment partially and simultaneously had a positive and significant effect on nurses’ work compliance. The main conclusion of this study is that all variables have significant effects; therefore, enhancing nurses’ responsibility and competence is essential to strengthen organizational commitment and improve compliance with nursing care standards

The internship program of Universitas Mayjen Sungkono in Begaganlimo Village introduced a training initiative focused on the Development of an Adaptive Learning Platform Based on D-PACK as an effort to enhance the quality of digital learning in Begaganlimo elementary schools. This training was designed to assist teachers in strengthening their ability to design and utilize interactive learning media supported by artificial intelligence (AI). Through this socialization activity, teachers were not only introduced to the use of adaptive technology but also guided to apply it in teaching practices so that the learning process becomes more effective, easier to understand, and more engaging for students. In addition, the socialization activities provided a deeper understanding of how technology can be used and integrated into teaching. Teachers not only learned to operate AI-based applications or devices, but they also gained insight into the pedagogical principles within the DPACK framework, which ensures that technology is applied appropriately. As a result, learning is expected to become easier to understand, more engaging, and capable of increasing students’ participation and motivation in the classroom.

The steering gear is a vital component in ship operations, functioning to control the ship’s direction accurately. The reliability of this system highly depends on the performance of the hydraulic system, where the mechanical seal plays a key role in maintaining system pressure and preventing oil leakage. This study aims to identify the main factors causing mechanical seal damage and analyze its impact on the performance efficiency of the steering gear AHTS Logindo Stamina. Qualitative data were obtained through participatory observation and in-depth interviews with the second engineer. Meanwhile, quantitative data were gathered by measuring technical parameters such as oil pressure, operating temperature, and rudder movement time, which were then compared with SOLAS standards. This damage results in oil leakage through the mechanical seal gap, abnormal noise in the hydraulic system, and a significant decrease in working pressure of -25,86%. The operational impacts include the occurrence of steering gear failure alarms, decreased hydraulic efficiency of 25.87%, and the risk of system failure that could endanger ship maneuverability. This study recommends preventive maintenance through oil quality monitoring, environmental condition control in the steering gear room, and periodic mechanical seal replacement in accordance with operational standards to maintaining optimal steering system performance.

Software Defect Prediction (SDP) aims to identify defective modules early in the software development lifecycle to improve software quality and reduce maintenance costs. However, SDP datasets commonly suffer from high dimensionality, feature redundancy, and class imbalance, which can degrade model performance and stability. This study proposes a hybrid feature selection framework to address these challenges and enhance prediction performance. The proposed approach integrates Combined Correlation and Mutual Information (CONMI), which combines the Pearson Correlation Coefficient (PCC) and Mutual Information (MI) to capture both linear and nonlinear feature relevance. The selected features are further refined through Top-K selection, correlation-based filtering to reduce multicollinearity, and Backward Elimination (BE) to obtain an optimal feature subset. To address class imbalance, SMOTE-Tomek is applied by combining over-sampling and data cleaning techniques. Experiments are conducted on twelve NASA MDP datasets using Logistic Regression (LR) and Naïve Bayes (NB) classifiers. The results show that the proposed framework consistently achieves the best performance, with Logistic Regression combined with SMOTE-Tomek obtaining the highest average AUC of 0.7923 ± 0.0714, while NB achieves 0.7554 ± 0.0580. Statistical analysis using a paired t-test indicates that the proposed method significantly outperforms MI+SMOTE-Tomek and BE+SMOTE-Tomek for Logistic Regression, whereas no significant differences are observed for NB. In addition to improving overall classification performance (AUC), the proposed approach also enhances minority class detection, as reflected in improved Recall and F1-score. Overall, the proposed hybrid framework provides an effective and reliable solution for software defect prediction, particularly for high-dimensional and imbalanced datasets.

Injectable contraception remains one of the most widely used family planning methods among couples of reproductive age. However, the success of this method is strongly influenced by the level of knowledge and attitudes of acceptors, which in practice are often still inadequate. This study aimed to evaluate the effectiveness of injectable contraceptive educational videos in improving the knowledge and attitudes of injectable contraceptive acceptors at TPMB Siti Juhariyah. The study employed a quantitative approach with a quasi-experimental one-group pretest–posttest design. A total of 30 injectable contraceptive acceptors were selected as samples using purposive sampling techniques. The intervention consisted of providing an educational video on injectable contraception, followed by the assessment of participants’ knowledge and attitudes before and after the intervention using structured questionnaires. Data were analyzed using statistical tests to determine differences between pretest and posttest scores. The results showed a significant increase in acceptors’ knowledge, which shifted from moderate and low categories to a good category after the educational video intervention. In addition, the acceptors’ attitudes toward the use of injectable contraception also demonstrated a significant positive change. Based on these findings, it can be concluded that injectable contraceptive educational videos are effective in improving the knowledge and attitudes of acceptors. Therefore, educational videos can be utilized as a supportive counseling medium in family planning services to enhance the quality of contraceptive care in independent midwifery practices.