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. This research is driven by the low literacy of plastic waste management in primary education, where students tend to perceive cleanliness only as disposing of trash without having the skills for reuse. This study aims to describe the utilization of recycled plastic waste media in enhancing students' environmental awareness at MI Salafiyah Syafi’iyah through an experiential learning approach. The method employed is descriptive-analytical qualitative, with data collection techniques including direct observation, interviews, and documentation. The research implementation was carried out through three main stages: participatory waste sorting, selection of clothing pattern designs as adhesive media, and the construction of creative collages into an educational display board named "Karyaku." The results indicate that the integration of plastic waste as a learning medium is capable of transforming students' paradigms from a consumptive to a creative perspective, as well as improving their practical understanding of the 3R principles (Reduce, Reuse, Recycle). The success of this research is evidenced by the creation of aesthetic and functional visual media that not only enhances students' creativity but also fosters a sense of responsibility and sustainable environmental concern for the school ecosystem.  

This study analyzes the economic dynamics and development of the tourism sector in the Special Region of Yogyakarta (DIY) Province during the 2015–2024 period. The research employs a quantitative descriptive approach using secondary data obtained from the Central Bureau of Statistics (BPS). Data analysis is carried out through descriptive statistical methods and trend analysis to capture changes and patterns over time. The variables examined include regional economic growth, the number of tourist visits, road infrastructure development, labor absorption, and hotel occupancy rates across five districts/cities in the province. The findings indicate that the economy of DIY demonstrates relatively strong resilience in the post-COVID-19 pandemic period, supported by gradual recovery in tourism-related activities. The development and operation of Yogyakarta International Airport have significantly contributed to economic growth in Kulon Progo Regency, particularly by improving accessibility and investment opportunities. The tourism sector continues to serve as the main economic driver in the region, with tourist visits largely concentrated in Sleman Regency and Yogyakarta City, while Gunungkidul Regency shows considerable potential for nature-based tourism development. Overall, the study concludes that equitable infrastructure development and the strengthening of the service sector are crucial to ensuring sustainable and inclusive economic growth in the Special Region of Yogyakarta.

Indonesian Migrant Workers (PMI) face the problem of stigmatization and negative image that has been rooted in public perception for several decades, where the social construction of TKI is dominated by narratives of exploitation, violence, and victimization reinforced by conventional mass media coverage. The phenomenon of TKI emerging as content creators on the TikTok platform opens new opportunities for migrant workers to represent themselves independently and build personal Branding that has the potential to reconstruct their image in public perception. This study aims to analyze the personal Branding strategies of TKI content creators on TikTok, measure the engagement patterns and reach of the content produced, and evaluate the transformation of public perception toward Indonesian migrant workers as an implication of these digital communication practices. This study uses a qualitative approach with a case study design to explore the process of image reconstruction through personal Branding on the TikTok platform. Data were collected through in-depth interviews with five TKI content creators who have followers ranging from 750 thousand to 2.3 million, interviews with 50 active followers, and interviews with two digital communication experts. The research findings show that TKI content creators implement personal Branding strategies through content authenticity, narrative consistency, and positioning differentiation with engagement rates. Public perception changed significantly with a decrease in negative perception from 68 percent to 18 percent and an increase in positive perception from 10 percent to 55 percent within an exposure period of more than 12 months. Image reconstruction occurs through three mechanisms: humanization that displays the human side of TKI, normalization that elevates the profession as work worthy of respect, and inspiration that demonstrates their positive achievements. This study recommends that the government and related stakeholders support digital literacy for migrant workers to optimize social media platforms as a means of empowerment, as well as promote policies that protect and appreciate the contribution of TKI as an integral part of national economic development.

Learning concentration is an important factor in supporting students’ academic success, particularly in Biology study programs that require high levels of accuracy and analytical skills. Learning concentration is influenced by various factors, including sleep quality and dietary patterns. This study aimed to analyze the relationship between sleep quality and dietary patterns and the level of learning concentration among Biology students of class T.BIO1/2022 at Universitas Islam Negeri Sumatera Utara. This study employed an analytic observational approach with a cross sectional design. The research sample consisted of 23 students selected using a total sampling technique. The research instruments included questionnaires on sleep quality, dietary patterns, and learning concentration. Data analysis was conducted descriptively and using cross tabulation. The results showed that students with good sleep quality and regular dietary patterns tended to have higher levels of learning concentration compared to those with poor sleep quality and irregular dietary patterns. Therefore, sleep quality and dietary patterns are important factors that need to be considered to support students’ learning concentration.  

This study aims to analyze the influence of financial literacy, e-money use, and lifestyle on the financial behavior of accounting students in the context of a cashless society. The research population includes students of the accounting study program of the Faculty of Economics and Business, University of Muhammadiyah Gresik, Semen Indonesia International University, and Gresik University. The sampling technique used accidental sampling with a total of 120 respondents in the 6th semester. Primary data was obtained through the distribution of questionnaires, then analyzed using quantitative methods with the help of SmartPLS software. The results of the study show that financial literacy does not have a significant effect on students' financial behavior. Conversely, the e-money variable has a significant positive influence on financial behavior, indicating that the use of digital transactions encourages more practical financial management patterns. In addition, lifestyle has also been shown to have a significant positive effect on financial behavior, indicating that students' consumption preferences and lifestyle also determine how they manage their finances in the cashless era. This research makes an empirical contribution in understanding the factors that influence the financial behavior of the younger generation, as well as being the basis for the development of financial literacy and policies related to digital payment systems in the higher education environment.

College represents a critical transitional period requiring high adaptation, where students often face escalating academic demands triggering psychological pressure. This study aims to deeply analyze the reciprocal relationship between sleep patterns and academic stress levels, and identify their subsequent impacts on cognitive function (concentration) and students' physical health. This study employs a qualitative method with a Systematic Literature Review approach. Data were collected through comprehensive searches of accredited national and reputable international scientific articles published within the last five years (2020–2025). Literature selection was conducted rigorously using specific keywords to screen empirical studies relevant to stress, sleep, and student health variables. Data synthesis reveals a strong and consistent negative correlation. High levels of academic stress whether stemming from the adaptation phase of new students (initiation), thesis preparation workload, or role conflicts in working students are significantly associated with decreased sleep quality. Physiologically, stress triggers increased cortisol levels causing insomnia, shortened sleep duration, and prolonged sleep latency. Subsequent impacts are proven to drastically reduce learning concentration and trigger physical health disorders, including an increased risk of primary dysmenorrhea in female students. This study concludes that academic stress and sleep disturbances form a destructive cycle that exacerbates one another. Therefore, holistic institutional interventions in the form of sleep hygiene education and stress management training are needed to break this chain for the sake of student well-being and academic performance.

Indonesian language education plays a strategic role in strengthening national identity and preserving cultural values amid the pressures of globalization. In the global era, the dominance of foreign languages, digital media, and transnational cultures poses challenges to the existence of national languages and local cultural identities. This study aims to analyze the role of Indonesian language education as an instrument for reinforcing national identity and cultural awareness in formal educational settings. The research employs a qualitative descriptive method with a literature review approach, examining scientific journals, policy documents, and relevant educational studies published within the last five years. Data were analyzed through content analysis to identify patterns, themes, and conceptual relationships related to language education and cultural identity. The findings reveal that Indonesian language education not only functions as a medium of communication but also serves as a vehicle for transmitting national values, cultural narratives, and collective identity. Learning materials that integrate local wisdom, literature, and cultural texts significantly contribute to students’ cultural awareness and national character development. Furthermore, Indonesian language education plays an important role in fostering critical literacy, cultural resilience, and a sense of belonging among learners in a globalized context. The study implies that strengthening Indonesian language education through curriculum development, contextual learning, and teacher competence enhancement is essential to sustaining national identity and cultural continuity in the era of globalization.

Male infertility represents a major global health concern, with oxidative stress playing a central role in the deterioration of sperm quality. In recent years, growing attention has been directed toward herbal medicine as a potential alternative or complementary therapy due to its antioxidant and multi-target properties. However, a comprehensive long-term overview of the global research landscape in this field remains limited. A bibliometric and visualized analysis was conducted using publications indexed in the Scopus database from 2005 to 2025. Eligible peer-reviewed articles were retrieved following PRISMA guidelines. Bibliometric indicators were analyzed using Biblioshiny (R-Bibliometrix) to assess publication trends, leading contributors, and thematic evolution, while VOSviewer was employed to visualize international collaboration networks, co-citation patterns, and keyword co-occurrence clusters. A total of 562 articles were included, revealing a strong upward trend in scientific output, particularly after 2016, with an annual growth rate of 15.78% and a peak in 2025. Iran, China, and Nigeria emerged as the most productive countries, while the Faculty of Veterinary Medicine and several universities in Africa, the Middle East, and Asia were identified as leading institutions. Keyword analysis highlighted three dominant research fronts: semen quality assessment, testicular histopathology, and oxidative stress–related molecular mechanisms. The collaboration network indicated increasing global and South–South research synergy. The field of herbal medicine for male infertility has evolved into a mature and multidisciplinary research domain, increasingly grounded in mechanistic and experimental evidence. These findings provide a strategic overview of research hotspots and emerging trends, offering valuable guidance for future experimental and clinical investigations.

In demographic studies, population growth refers to changes in the number of inhabitants over a given period, measured by calculating numerical differences in population size and expressing them within specific time units to illustrate patterns of increase or decline. Based on data from Tembalang District in Figures 2025, the population growth rate in Kedungmundu Village rose by 0.51% between 2016 and 2025, with most residents relying on clean water services provided by PDAM Tirta Moedal as their primary source of drinking water. This study aims to estimate clean water demand based on projected population growth and to design a pipeline network system capable of meeting future needs. The analysis of water demand applies population projection methods, including arithmetic, geometric, and least square approaches, to compare their levels of accuracy, while the clean water distribution network is modeled using EPANET 2.0. One of the main challenges faced by PDAM is that service coverage has not yet been fully optimized. The ten-year projection results indicate that the arithmetic method provides a correlation value closest to 1, estimating a future population of 14,904 people with a total clean water requirement of 3.48 liters per second. To support this projected demand, the proposed network design utilizes High Density Polyethylene (HDPE) pipes with diameters of 12, 10, and 8 inches to ensure efficient and sustainable water distribution.

Rainfall is a crucial factor in the stability of the Earth's ecosystem and has a significant impact on agriculture, forestry, energy, and water management. However, increasingly unstable climate change makes rainfall patterns difficult to predict accurately using traditional methods. The city of Medan, the capital of North Sumatra Province, has a tropical rainforest climate with an average annual rainfall of approximately ±2200 mm and an average temperature of 27°C. Significant weather fluctuations in this area can trigger flooding when rainfall increases and cause water shortages when rainfall decreases (BMKG, 2021). Therefore, a prediction approach that can manage non-linear and dynamic data is needed. Artificial Neural Networks (ANN) are one of the reliable machine learning methods for detecting data patterns. By using the backpropagation algorithm, the model can gradually reduce prediction errors, making it widely used in weather forecasting applications. In this regard, this study uses ANN with the backpropagation method to forecast monthly rainfall in Medan City by utilizing data from 2022–2024 as training and testing data.

Adolescents are at greater risk of mental health conditions. Good or bad mental health conditions in adolescents cannot be separated from the factors that influence it. Factors that influence adolescent mental health include religiosity, smartphone addiction, parenting patterns and peer interaction. The aim of this research is to determine the mental health picture and predisposing factors in young women in Mekarbakti Village, Pamulihan District, Sumedang Regency. The type of research is descriptive, the population is 508 young women in Mekarbakti Village, Pamulihan District, Sumedang Regency. The sample was taken using stratified random sampling so that 84 people were obtained. Data collection is done by filling out a questionnaire. Data analysis uses univariate analysis in the form of frequency distribution.  The research results showed that more than half had good mental health, 52 people (61.9%), more than half had high religiosity, 49 people (58.3%). more than half of them are not addicted to smartphones as many as 48 people (57.1%), more than half have democratic parenting as many as 59 people (70.2%), more than half of them have high peer interaction as many as 48 people (57.1%). The conclusion was that more than half of young women's mental health was good, their religiosity was high, they were not addicted to smartphones, their parenting was democratic and their peer interaction was high. Suggestions for research sites could be to hold positive activities for young women, such as by encouraging more young people to take part in Karang Taruna activities

This article proposes wasathiyah—a balanced Islamic ethic grounded in the maqasid al-shari‘ah—as a practical framework for East–West civilizational dialogue. It critiques “clash of civilizations” narratives for reducing cross-cultural relations to identity antagonism, while historical experience points to more complex patterns of exchange, negotiation, and mutual correction. By using maqasid as a normative compass, dialogue is oriented toward publicly verifiable aims: safeguarding human dignity, advancing justice, protecting reason and knowledge, strengthening social cohesion, and promoting sustainable governance. The discussion draws on Nahdlatul Ulama’s tradition of Aswaja An-Nahdliyah and contemporary discourse on fiqh al-hadlarah (civilizational jurisprudence) to formulate an indicator matrix across key domains—education, law and human rights, economy, media, and emerging technologies (including AI)—along with a 3–5 year implementation roadmap and risk-mitigation strategies. The article concludes by highlighting implications for Islamic education, particularly academic integrity, digital-ethical literacy, and interdisciplinary projects oriented to the public good (maslahah).

This research examines the behavior of local communities in Teluk Bakau, Bintan, in managing marine resources through the practice of nesting, which represents an important form of local wisdom that has been passed down through generations. The background of this research is the increasing challenges faced by Indonesia's coastal areas, including marine pollution, environmental degradation, and the impacts of climate change on coastal ecosystems. The aim of the study was to understand community behavior patterns in nesting activities and to analyze their impact on the sustainability of the marine ecosystem. The methods used included structured observations supported by purposive and random sampling techniques to obtain representative data. The results showed that the community conducts nesting activities during low tides; however, yields have decreased due to pollution and unstable market prices. In addition, community knowledge regarding the ecological benefits of seagrass ecosystems remains limited. The conclusions emphasize the importance of education programs and sustainable marine resource management to enhance environmental awareness and improve the welfare of local communities.

Criminal responsibility is constructed through the elements of homicide offences, the assessment of mens rea, accomplice liability, and sentencing rationality grounded in individual culpability. In judicial practice, however, cases involving the killing of women are frequently framed at the outset through the labels of “honour” or “intimate relationship,” leading honour killing and intimate partner femicide to be treated as interchangeable categories. This practice shifts the assessment of intent toward the perpetrator’s narrated motive and narrows accountability to the last physical actor. This research aims to formulate, first, legal criteria and evidentiary indicators for distinguishing the two categories through a staged judicial classification test, and second, to assess the implications of such classification for the construction of intent, the attribution of responsibility to non-executing actors, and sentencing rationality through disciplined reason-giving. The study employs a normative legal method with a conceptual approach, based on library research of primary and secondary legal materials. The findings demonstrate that the core deficiency lies in the absence of an operational classification device, allowing honour narratives to displace structured mens rea analysis and to obscure the causal contributions of non-executors. The article proposes working definitions and a stepwise indicator-based test—focusing on the presence of determinative social pressure or sanctioning, provable role allocation within perpetrator networks, and prior threats framed in terms of honour restoration—and links these indicators to concrete doctrinal consequences for intent, accomplice liability, and sentencing. Through this framework, judicial reasoning is redirected from label-driven interpretation toward accountability, while restraining the use of honour as a mitigating rationale and preventing femicide patterns from being concealed by reputational narratives.

Savings and Loan Cooperatives (KSP) play a vital role in expanding community access to capital, especially within the informal sector. Nevertheless, non-performing loans remain a persistent challenge that can threaten liquidity and long-term institutional sustainability. KSP CU Mera Ndi Ate faces similar issues, which are assumed to stem not only from administrative weaknesses but also from members’ perceptions and behavioral factors. This research aims to examine the potential causes of non-performing loans through text-based sentiment analysis using an unsupervised learning approach. A quantitative method with a data mining framework was applied. Data were gathered through interviews, observations, documentation, and 200 customer opinion texts processed using the Orange Data Mining application. The analytical stages included preprocessing, corpus development, feature extraction, sentiment clustering, and visualization. Because the dataset lacked predefined labels, unsupervised learning was used to identify naturally emerging sentiment patterns. Findings reveal a predominance of critical sentiments related to credit assessment procedures and service quality. The highest sentiment score (75) concerned insufficient creditworthiness evaluation, followed by concerns about service efficiency (66.6667). These insights suggest that improving assessment accuracy and service quality may help reduce non-performing loans.

This study is motivated by the increasing need for accurate modeling and classification of one-dimensional signal data in intelligent systems. The rapid development of deep learning has led to the adoption of more adaptive and complex neural network architectures capable of capturing both temporal dependencies and local patterns in sequential data. This research aims to analyze and compare the performance of several deep learning models, namely Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid Convolutional Neural Network–GRU (CNN–GRU) model for signal data classification. The research method employs a quantitative experimental approach involving data preprocessing, windowing, model training, and performance evaluation. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the hybrid CNN–GRU model outperforms the other models, particularly in capturing local features and long-term temporal dependencies within signal data. These findings suggest that the integration of convolutional layers and recurrent mechanisms enhances feature representation and learning stability. This study is expected to contribute both theoretically and practically to the development of deep learning models for signal processing and time-series-based intelligent applications.

In the rapidly evolving digital economy, the ability to anticipate transaction surges is a strategic asset for marketplace platforms to maintain operational efficiency. This research aims to build an accurate daily transaction volume forecasting system thru the implementation of an Extract, Transform, and Load (ETL) pipeline and Autoregressive Integrated Moving Average (ARIMA) predictive modeling. The dataset used is sourced from dataset_olshop.csv, which includes transaction history for the entire year of 2025. The ETL stage focused on data cleaning and handling missing values, while time series analysis began with the Augmented Dickey-Fuller (ADF) stationarity test, which yielded a significant p-value of 0.000006. The parameter model was optimized using the auto_arima algorithm, which determined the ARIMA(2,0,0) configuration as the best model. The evaluation results of the model show fairly stable performance with a Root Mean Squared Error (RMSE) value of 2.002 and a Mean Absolute Error (MAE) of 1.704 on the test data. Research findings reveal a consistently higher purchasing pattern during the mid-month and end-of-month periods, with an average of 5.52 daily transactions, compared to the beginning of the month, which saw 5.48 transactions. The 30-day forecast results provide valuable insights for online store managers to proactively adjust inventory and logistics workforce allocation strategies. This research concludes that integrating data engineering techniques and statistical analysis can provide predictive solutions for the dynamics of the digital market.

Parents play a crucial role in introducing and shaping children’s gender identity from an early age. Gender identity is an essential aspect of psychological development that is closely related to the formation of behavior patterns, social attitudes, and personality development in later life. Within the family context, both fathers and mothers have complementary psychological roles in supporting children’s gender development. Mothers are generally more involved in daily caregiving and the fulfillment of children’s physical and emotional needs, while fathers tend to play a more prominent role in social interaction, play activities, and reinforcing discipline as well as adherence to prevailing cultural norms. Parenting practices, whether consciously or unconsciously applied, significantly influence how children understand gender roles, express themselves, and construct their personal identities. Therefore, appropriate, balanced, and developmentally sensitive gender identity introduction is essential to prevent role confusion and potential psychological difficulties in the future. This article aims to examine the role of parents in shaping children’s gender identity from a psychological perspective, emphasizing the importance of responsive, educative parenting that aligns with children’s developmental stages and cultural values.

Digital transformation in higher education has reshaped learning patterns and students’ academic practices, including how they manage and complete academic tasks. On the one hand, digital learning offers flexibility and easy access to learning resources; on the other hand, it has intensified tendencies toward academic task procrastination. This study aims to analyze students’ academic task procrastination as a socially constructed reality within the context of digital learning. The research adopts a qualitative approach with a case study design conducted at IAIN Fattahul Muluk Papua. Data were collected through in-depth interviews with students and lecturers and analyzed using Peter L. Berger and Thomas Luckmann’s social construction theory, encompassing the processes of externalization, objectivation, and internalization. The findings indicate that task procrastination is externalized through flexible learning schedules, digital media distractions, fatigue with instructional methods, and academic pressure. These practices are subsequently objectivated through students’ collective experiences and social relations with lecturers, leading them to be perceived as normative behavior in digital learning. Furthermore, task procrastination is internalized as a habit and an adaptive, taken-for-granted strategy within students’ learning rhythms. This study affirms that academic task procrastination cannot be reduced to an individual problem alone; rather, it emerges from the complex interaction between technological structures, pedagogical practices, and academic social dynamics. The findings are expected to contribute to the development of more reflective and contextual digital learning policies and strategies.

Forensic entomology is a branch of forensic science that utilizes insects and other arthropods as biological indicators in death investigations. This discipline plays a crucial role, particularly in cases of advanced decomposition, where conventional forensic methods often face limitations. One of the key contributions of forensic entomology is estimating the post-mortem interval (IPM), or time since death, which can assist investigators in reconstructing the chronology of events. Furthermore, entomological analysis can provide information regarding the location of death, possible movement of the body, and environmental conditions surrounding the crime scene. Common approaches include analyzing insect succession patterns that appear according to the stages of decomposition of the body and determining the age of larvae based on their developmental stage and growth rate. Environmental factors, particularly temperature, humidity, and microhabitat conditions, significantly influence insect development and therefore must be carefully considered in the analysis. This literature review aims to discuss the basic concepts, functions, and role of forensic entomology in law enforcement. Furthermore, this review emphasizes the importance of accurate insect species identification to improve the validity and reliability of the resulting time-of-death estimates.