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This study aims to optimize the architecture of Artificial Neural Networks (ANN) for rainfall prediction using meteorological data from Indonesia, which is known for its complex and highly variable climate patterns. Climatic variables such as temperature, humidity, air pressure, wind speed, and historical rainfall records serve as the main input features to evaluate the performance of various network configurations. Optimization is carried out by determining the appropriate number of neurons, hidden layers, activation functions, and training algorithms to enhance prediction accuracy. Model evaluation employs indicators such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) to ensure output stability. The findings indicate that a multilayer architecture combined with optimized parameters significantly improves the network’s ability to capture non-linear patterns in Indonesia’s tropical rainfall data. The optimized model produces more stable and accurate predictions compared to standard configurations. These results highlight the importance of ANN architecture optimization in supporting early warning systems, agricultural planning, water resource management, and hydrometeorological disaster mitigation across Indonesia.

Food waste is becoming an increasingly significant global issue along with food loss and waste, consumers throw away 31% of the food they have purchased, a third of the total food produced globally or around 1.3 billion tons of food that can be consumed including fresh vegetables, fruit. , meat, bread and dairy products are lost along the supply chain. Food waste has many negative social, economic and environmental impacts. The household sector is one area that contributes to a significant amount of food waste. Household behavior is considered the biggest contributor to food waste. wasted (Food Waste), behavior shows significant differences in producing food waste produced by households, Sanggau Regency also experiences problems with food waste, this cannot be separated from the geographical conditions of the area which borders directly with the Malaysian region which makes the mobility of goods difficult. easier, thus making the community's consumptive factor increase as evidenced by the continued increase in public demand for food products produced by the people of Sanggau Regency every year. This research aims to identify household consumption behavior regarding the behavior of throwing away food (food waste) in border areas of the Regency. Sanggau and determine the influence of socio-demographic, socio-economic factors and household consumption behavior on food waste behavior in the border areas of Sanggau Regency. The research method used in this research is descriptive statistics. The sample in this study was 100 respondents representing households. The variables in this research are divided into two, namely respondent characteristics and household behavior. The results of the research show that the average food waste behavior in households refers to the characteristics of respondents such as age, gender, occupation, income, expenditure and number of family members as well as tendencies or behavioral patterns of household members in producing, managing and using food. causes food to be wasted in an inefficient manner. Food waste behavior covers various aspects, including purchasing, storing, preparing and consuming food.

Fish growth refers to the growth of body size which includes length and weight, as well as the development of fish body tissues within a certain period of time.Growth does not only occur in a physical sense but also includes biological and physiological changes in the fish body.In an ecological context, fish growth is related to the ability to survive, adapt, and reproduce in an environment with various internal and external factors.The implementation of the practicum of population dynamics and fish stock assessment was carried out in the Nias University building, room 2 of the Faculty of Science and Technology. The morphometric measurements were carried out by measuring the total length, stag length and standard length.The total length was measured from the distance between the tip of the head end and the tip of the caudal fin back.Growth of strange mackerel through the relationship between length and weight using the growth formula expressed in the form of a linear regression equation. The equation obtained from the analysis of measurement data shows the length-weight relationship with the equation Y 2.8771x-1.7473 and R2 value of 0.6688. The coefficient b value of 1.7473 indicates that mackerel has a negative allometric growth pattern, which means weight gain. Mackerel (Rastrelliger sp.) is the main indicator of fish growth and health based on the results of morphometric studies that show variations in length and weight.

This study aims to analyze the application of Deep Neural Networks (DNN) as an artificial intelligence approach in processing weather data to support more accurate and stable climate predictions. Increasingly unpredictable and fluctuating weather patterns demand modern analytical methods capable of capturing non-linear relationships among atmospheric variables. DNN is utilized due to its ability to learn complex data structures through multilayer representations that extract deeper features from input variables. Weather data such as temperature, humidity, rainfall, air pressure, and wind speed are processed through several preprocessing stages to ensure optimal model performance. This research employs a descriptive qualitative method based on literature studies to examine the role of DNN in weather prediction systems. The findings indicate that DNN demonstrates strong generalization abilities, robustness to fluctuating data, and more stable predictive outputs compared to conventional statistical approaches. Thus, DNN is considered a promising component for the development of early warning systems and modern data-driven climate analysis, offering improved reliability in understanding and forecasting atmospheric conditions.

Ecoprint is a textile printing technique that uses natural materials, such as leaves, flowers, and plant stems, to create patterns on fabric. This method is environmentally friendly, reduces the use of hazardous chemicals, and produces unique motifs that cannot be repeated. The process involves direct contact between organic materials and fabric, similar to batik techniques but without special tools. Ecoprint is increasingly popular in the world of art and fashion as a sustainable alternative. The target of this PKM is children in Marga Bhakti Village, so that they can learn about the dangers of synthetic dyes and natural dyes and foster environmental literacy. The method applied in this PKM activity is to directly train children in Marga Bhakti Village to carry out eco-print activities directly. This activity can improve the knowledge and skills of children in Marga Bhakti Village. By introducing and also practicing eco-printing through eco-print making training attended by children, it will be able to improve creativity, skills and foster environmental literacy.

This study aims to analyze the Timor Leste conflict from various conflict theory perspectives. By understanding the motives and dynamics underlying the conflict, it is expected to provide deeper insight into the causes and consequences of the Indonesian invasion and its impact on the Timorese people. This study uses a library method with the intention of collecting and analyzing information from various written sources related to theories of international relations and the dynamics of social conflict, starting with topic identification, literature collection, and ending with analysis and synthesis of information to find patterns and relationships between theories and phenomena studied. The results of the study show that the Timor Leste conflict from the Republic of Indonesia between 1975 and 1999 can be analyzed through various conflict theory perspectives, including Realism, Constructivism, and Marxism Theory. Realism Theory helps explain the Indonesian military invasion as an effort to defend national interests, while Constructivism Theory highlights the role of identity and norms in the struggle for independence of the Timorese people. On the other hand, Marxist Theory reveals that economic injustice and social class differences play an important role in triggering conflict. By understanding these three theories, this research provides deeper insights into the causes and dynamics of conflict, and identifies steps that can be taken to achieve a just and sustainable resolution.

The pandemic has globally become a turning point for social change. Including, the learning process and communication practices becoming more integrated with digital media. This study aims to understand undergraduate students' engagement with media in the post-pandemic era in Indonesia. Drawing on mediatization, this study uses surveys, interviews, and students’ daily notes to collect data. The researcher then visualizes data using Nvivo. Informants are 92 undergraduate students who wrote a daily note from 16th March to June 6th, 2024. The findings show an interrelation between undergraduate students' social dynamics, communication practice, and media engagement. This study reveals distinct patterns in media engagement among Indonesian students that were not previously documented, particularly regarding their adaptation to hybrid learning environments. Government regulations regarding social restrictions do not limit students’ social interaction and learning process. Students’ social interaction and communication practice become more embedded into media usage. The communication practices that are increasingly engaging with media keep continuing even after the pandemic is over. Media are converged so that students do not adopt or are dominated by one type of media. Likewise, students can get information from different types of media.

Social media undeniably contributes to changing how a teacher figure is portrayed and how communication patterns with students occur. Social media users, particularly TikTok, can upload audiovisual content of teachers and students joyfully dancing together. This research aims to present a depiction of teachers in the current digital era. It is a multidisciplinary study that examines educational and social contexts. The research method employed is semiotics by Roland Barthes. The researchers analyze the myths conveyed in the audiovisual content to unveil the image of teachers in the digital era. The results reveal the current depiction of teacher-student relationships in the context of dancing on social media, which has significant implications. It emphasizes the importance of teachers' role in assisting students in managing social media usage wisely and serving as positive role models. Through dancing content on social media, teachers can strengthen social connections with students outside the school, creating an informal space for closeness and better understanding of students as individuals.

This research aims to investigate the relationship between conflict management strategies and team performance in the Khas Hotel industry. Against the backdrop of the unique team dynamics and potential for conflict in the hospitality environment, this research focuses on deeper understanding to improve the effectiveness of conflict management and team performance. The research method used is a mixed approach, combining quantitative and qualitative analysis. Through surveys and interviews with hotel managers and staff, data was collected and analyzed to identify patterns and relationships between the variables studied. The research findings indicate an influence between implemented conflict management strategies and team performance, with important implications for practitioners in the hospitality industry in improving human resource management and team productivity.

Nutritional knowledge is knowledge about food and nutrients, sources of nutrients in food, food that is safe to consume so that it does not cause disease and how to process food properly so that the nutrients in food are not lost and how to live healthily. One of the factors that influences eating patterns is the level of nutritional knowledge. A person's level of nutritional knowledge influences eating behavior in choosing food which determines whether it is easy for a person to understand the benefits of the nutritional content of the food consumed. The aim of this research is to determine the relationship between nutritional knowledge and instant noodle eating patterns among Papuan students at Halu Oleo University. This research uses quantitative research and the type of research is observational analytics with a cross sectional design. The results showed that the majority of respondents had a poor level of nutritional knowledge (75%), while only 25% of respondents had high nutritional knowledge. This shows that even though students are in a higher education environment, their knowledge about nutrition still needs to be improved. Most respondents (52%) consume instant noodles 2-3 times a week, with the main reasons being ease of preparation (65%) and affordable price (20%). This consumption is more dominant among students who live in boarding houses or dormitories compared to those who live with their families. It is hoped that this research will be useful for subjects to balance their eating patterns and have self-control because the majority of subjects have uncontrolled eating patterns due to living in boarding houses or dormitories so that their body health continues to be maintained. Apart from that, subjects can also pay more attention to nutritional balance in consuming food in order to achieve optimal nutritional status.  

This research aims to analyze the implementation of organizational ethical values in improving performance and organizational maturity at HIQMA UIN Syarif Hidayatullah Jakarta, focusing on word patterns, thought patterns, and attitude patterns in organizational dynamics. The research employs a qualitative approach with a case study method. Data was collected through direct observation, in-depth interviews with HIQMA administrators and members, and organizational document analysis. Informants were selected through purposive sampling, and data were analyzed using thematic analysis techniques with validation through data source triangulation. The implementation of organizational ethical values at HIQMA shows positive impacts on three main aspects: (1) increased leadership effectiveness and management performance, (2) strengthening organizational culture through the integration of Islamic values, and (3) development of member professionalism through comprehensive training programs such as Management Upgrading. This research provides a new perspective on integrating Islamic ethical values in student organization development, particularly in organizations focusing on Quranic talent development and Islamic arts. The research results provide a practical framework for student organizations to implement ethical values to improve performance and organizational maturity, including management capacity development strategies and monitoring evaluation systems.

The agriculture sector is facing unprecedented challenges as a result of climate change. As temperatures continue to rise and weather patterns change, the dynamics of plant-virus interactions change significantly, requiring innovative solutions to ensure global food security. This review article examines the relationship between climate change and the prevalence and severity of cucumber virus diseases, their impact on cucumber yield and quality, and subsequent economic implications, with a focus on the critical pathogen cucumber mosaic virus (CMV). The method in this journal article uses library research, which is a method with data collection by understanding and studying theories from various literatures related to the research. The results showed that as climate change increases, it is imperative to investigate its impact on cucumber virus management, specifically how increasing temperatures and changing rainfall patterns may affect virus epidemiology and disease resistance mechanisms. In addition, exploring integrated pest management strategies that combine traditional breeding with modern biotechnology advances is essential. The application of RNA-based technologies presents a promising avenue for effective virus control, potentially reducing the economic burden on cucumber farmers.

Image processing has become a key technology in visual data analysis, making significant contributions across various fields such as healthcare, security, and the creative industry. This article provides a comprehensive review of the application of image processing technology in visual data analysis, focusing on the latest methods, tools, and practical applications. We discuss various image processing techniques, including segmentation, edge detection, and pattern recognition, as well as how these techniques are applied to process and analyze visual data. The study also includes performance evaluations of various commonly used image processing algorithms and software. Additionally, we explore the challenges faced in applying this technology, such as image resolution issues, noise, and high computational demands. By offering an extensive overview of the development and implementation of image processing technology, this article aims to be a valuable reference for researchers and practitioners working in the field of visual data analysis.

There are many patterns of breast cancer change that make it a global health challenge. The research aims to propose an expanded gamma distribution with parameters and apply it to data for (103) patients with breast cancer. Data normality tests were used, such as the Kolmigrov-Smirnov test, the Anderson-Darling test, and the Chi-square test, to fit the real data. The parameters of the proposed distribution were estimated using the maximum likelihood method. It was found that there is a large difference in the real data with positive Skewness in it. The maximum likelihood estimates reflected the suitability of the data to the proposed distribution, which indicates the accuracy of the obtained results.

This study aims to address the challenges and propose solutions for the Optimization of Blockchain-Based Cybersecurity Systems to Enhance Resilience Against Ransomware Attacks using a Systematic Literature Review (SLR) approach. Blockchain is increasingly recognized as a transformative technology in cybersecurity due to its decentralized structure, transparency, and robustness in securing data. Despite these advantages, its widespread adoption is hindered by several challenges, including scalability, interoperability, high energy consumption, and limited access to representative ransomware datasets. This research highlights that integrating blockchain with advanced technologies such as data analytics, machine learning, and Explainable AI (XAI) can significantly enhance its effectiveness in combating ransomware.The findings reveal that Graph Convolutional Neural Networks (GCN) enable real-time detection of ransomware patterns in network traffic with an accuracy of up to 95%. Furthermore, Layer-2 solutions like the Lightning Network and sharding effectively alleviate the load on main blockchains, thereby increasing transaction throughput. Efficient consensus mechanisms, including Proof of Stake (PoS) and Delegated Proof of Stake (DPoS), address energy consumption issues, making blockchain more adaptable to IoT and resource-constrained environments. These approaches have proven successful in enabling early detection, mitigation, and prevention of ransomware in IoT systems, cloud infrastructures, and smart grid networks. The implications of this study underscore the potential of blockchain as a critical component of proactive and adaptive cybersecurity systems. However, overcoming existing challenges requires further development of hybrid frameworks that integrate blockchain with data analytics and machine learning technologies. In addition, efforts should focus on standardizing global security protocols to enhance interoperability and creating robust, diverse ransomware datasets to support more accurate detection systems. Future research should also explore methods to minimize latency and improve blockchain efficiency in real-time cybersecurity applications.

This study investigates the use of digital storytelling (DST) as an educational strategy to enhance students’ critical thinking, empathy, and social awareness, particularly in addressing social injustice issues. Despite the growing emphasis on social justice education, traditional teaching methods often fail to engage students meaningfully or to connect personal experiences with broader societal contexts. This research aims to explore how DST can foster reflective learning, empathy, and social responsibility among students. A qualitative methodology was employed, involving data collection through student-created narratives, content analysis using ATLAS.ti, and thematic coding to identify recurring patterns and insights. The findings reveal that DST significantly improves students’ critical thinking skills and emotional engagement, allowing them to articulate personal experiences while understanding social structures and injustices. Students demonstrated increased empathy and the ability to link creative narratives with real-world social issues. Comparative analysis indicates that DST offers advantages over conventional pedagogical methods by promoting interactive, reflective, and socially conscious learning. The study concludes that integrating digital storytelling into educational practices can effectively cultivate socially aware, empathetic, and creative learners, thereby contributing to a more just and inclusive educational environment.

According to the World Health Organization (WHO), good nutritional status during adolescence plays an important role in determining health and quality of life in adulthood. The prevalence of adolescents with poor nutritional status reaches 9.2%, while the prevalence of obesity in adolescents increases to 8.3%. This study aims to determine the relationship between the level of knowledge and adolescent diet patterns to improve nutritional status in Sintang Regency. Cross Sectional research design . The population is adolescents at the Al-Fatih Hisbah Boarding School, Sintang Regency, Kalimantan. Respondents numbered 39 people who were taken by Simple Random Sampling . The study was conducted in December 2024. The results of the study obtained a p value of 0.026 ≤ 0.05, meaning that there is a relationship between the level of knowledge and adolescent diet patterns at the Al-Fatih Hisbah Boarding School, Sintang Regency. Health workers are expected to increase educational activities for adolescents regarding healthy diets .  

This study examines the roots of the source of debate and differences of opinion about the reality of patriarchal family relationship patterns that dichotomize the roles of men (husbands) and women (wives) in the household, where the husband is the head of the family (public) and the wife is the housewife (domestic). The purpose of the study was to determine gender equality in modern family households in the application of the married couple environment (young brides and grooms, This research method uses a qualitative approach with a descriptive research type., The results of the study in the form of a dichotomous family relationship pattern, resulting in injustice and gender inequality. This condition certainly requires the construction of a relationship pattern based on justice and gender equality, so that a gender partnership is realized towards a harmonious family. The construction of a gender relationship pattern that is just and gender equal, is realized if there is cooperation and equal and fair division of roles between husband and wife, which refers to the planning and implementation of family resource management, so that family members have a division of roles in various activities (domestic, public, and community).

This study aims to analyze the relationship between gadget usage and sleep quality among high school students at SMA Pertiwi Medan. Excessive gadget use, especially before bedtime, is often associated with sleep pattern disturbances that can affect students' sleep quality. This research employs a quantitative method with a descriptive correlational approach. Data were collected through questionnaires involving 100 students selected using random sampling techniques. The results show a significant relationship between the duration and frequency of gadget use and students' sleep quality. The higher the intensity of gadget use, the lower the quality of sleep experienced by students. Factors such as usage time, types of activities on gadgets, and sleep duration also influenced the findings. These results provide important implications for students, teachers, and parents to regulate gadget usage

Stress is a psychological condition that can affect nutritional status through changes in eating patterns and body metabolism. This study aimed to analyze the relationship between stress levels and nutritional status among final-year medical students at the Faculty of Medicine, University of Lampung. The study was conducted from November 2024 to January 2025 using a cross-sectional approach. The population consisted of final-year medical students in the 2024 academic year. A total of 141 students were selected using a simple random sampling technique. Data analysis was performed using the gamma correlation test. Stress levels were assessed using the Medical Student Stressor Questionnaire (MSSQ), while nutritional status was measured through anthropometric assessments. The results showed that 34.8% of respondents had an overweight or obese nutritional status, and 44.7% experienced moderate stress levels. Bivariate analysis revealed a significant relationship between stress levels and nutritional status (p = 0.033, p < 0.05) with a weak positive correlation (r = 0.260). This positive correlation indicates that higher stress levels are associated with an increased risk of being overweight or obese. In conclusion, this study demonstrates a significant relationship between stress levels and nutritional status among final-year medical students. These findings highlight the importance of effective stress management to prevent the risk of excessive weight gain and its potential contribution to degenerative diseases.