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This study develops a computational-based system to identify individual potential through the analysis of signature patterns using Artificial Neural Networks (ANN) and the Backpropagation algorithm. The research aims to explore and examine the effectiveness of applying ANN in recognizing and identifying signature patterns that are assumed to be related to an individual’s potential. In the data processing stage, Principal Component Analysis (PCA) is employed as a dimensionality reduction and feature extraction technique to optimally obtain the main characteristics of signature images. The system performance evaluation is conducted using a total of 80 signature images, consisting of 60 training data and 20 testing data. This study analyzes two network architecture configurations, namely a model with one hidden layer and a model with two hidden layers. The experimental results show that both network configurations achieve the same accuracy level of 92.5%. These findings indicate that the use of Artificial Neural Networks with the Backpropagation algorithm is effective in producing high accuracy in the signature pattern recognition process. Furthermore, the developed system has broad potential applications in the field of personal identification, such as employee evaluation, selection systems, and other applications across various organizational and industrial sectors.

This article aims to describe the teaching methods and practices of the Philosophy of Islamic Education course at STAI Darussalam. This research uses a qualitative descriptive approach with a field study method that focuses on the learning process, the competencies to be achieved, teaching methods, assignment formats, evaluation systems, and obstacles encountered during the course. Data were obtained through observation and information gathering related to the implementation of the Philosophy of Islamic Education course. The results show that the teaching of the Philosophy of Islamic Education at STAI Darussalam focuses on understanding the nature of Islamic education, developing students' critical thinking patterns, improving educational literacy, and linking philosophical studies to social and political realities. The lecture method remains the dominant method used by lecturers, with an emphasis on students' ability to define and explain basic philosophical concepts accurately as an indicator of understanding. Learning success is measured by changes in students' thinking, which becomes increasingly critical, reflective, and contextual in responding to educational issues and social justice issues.

Employee performance is a key factor in determining organizational success in achieving its strategic objectives. Various management studies indicate that employee performance is not solely influenced by individual factors, but is also significantly affected by organizational factors, particularly organizational planning and organizational structure. Effective organizational planning provides a clear direction and strategic framework that guides employees in performing their tasks, while an appropriate organizational structure facilitates coordination, clarifies authority, and supports the efficient execution of work. This study aims to analyze the influence of organizational planning and organizational structure on employee performance through a systematic literature review approach. The research method employed is a systematic literature review by examining relevant national and international journal articles published within the last ten years. Data were collected from reputable academic databases to ensure the credibility and relevance of the sources. The selected studies were analyzed qualitatively to identify patterns, relationships, and key findings related to the research variables. The results of the literature review indicate that systematic and well-formulated organizational planning contributes positively to improving goal clarity, work coordination, and employee motivation. Furthermore, an organizational structure that is aligned with organizational strategies plays an important role in clarifying task distribution, authority lines, and overall work effectiveness. The findings also reveal that organizational planning and organizational structure are interrelated and mutually reinforcing in shaping employee performance. This study concludes that the integration of organizational planning and organizational structure is a crucial factor in enhancing sustainable employee performance. The results of this study are expected to provide both theoretical contributions to organizational management studies and practical references for organizations in designing effective management systems.  

This study aims to describe the lexical variations that emerge based on gender factor within the sociolinguistic context of SMP Bintang Persada Denpasar. This research employs a descriptive qualitative approach using the observational method and note-taking technique by presenting a list of glosses to 20 eight-grade students, consisting of 10 male and 10 female participants. The lexical data were analyzed using the intralingual and extralingual comparison methods. The findings reveal significant lexical differences between the two speaker groups. Female student tend to use more varied, complete, and expressive lexical forms, including full words and phrasal expressions. In contrast, male students show a tendency to use shorter, more efficient lexical forms dominated by abbreviations and rough expressions. These findings highlight that gender functions as a linguistic marker shaping distinct communicative patterns among adolescents, with female students prioritizing social expression and affection, while male students emphasize practicality and efficiency in language use.

The Local Currency Settlement (LCS) initiative is a strategic instrument to promote ASEAN regional financial integration while reducing dependence on the US dollar in trade and investment transactions. Sub-regional cooperation between Indonesia, Malaysia, and Thailand has become an important policy arena to test the effectiveness of LCS as part of the implementation of the ASEAN Economic Community (AEC) Blueprint 2025. This article aims to analyze the role, opportunities, and challenges of LCS implementation within the framework of ASEAN financial integration, focusing on the dynamics of cooperation between the three countries. The research uses a qualitative approach through literature review and policy analysis. Data were obtained from official central bank documents, regional cooperation agreements, international agency reports, and academic literature related to financial integration and regional monetary cooperation. The analysis was conducted descriptively and analytically to identify implementation patterns, structural barriers, and policy implications. The results of the study indicate that LCS contributes to increasing the efficiency of cross-border transactions, reducing exchange rate risk, and strengthening sub-regional ASEAN financial cooperation. However, its implementation remains limited due to differences in financial infrastructure readiness, variations in domestic regulations, and low adoption by business actors. This article emphasizes the importance of policy coordination, regulatory harmonization, and private sector involvement to optimize the role of the LCS in supporting ASEAN financial integration.

Sleep is a fundamental biological need for adolescents and plays a crucial role in supporting cognitive function, emotional regulation, and overall mental health. Despite its importance, sleep quality among adolescents has increasingly declined due to the interaction of individual characteristics, social environments, and daily sleep behaviors. This article aims to analyze the factors influencing adolescent sleep quality using the Social Cognitive Theory framework through a literature review of national and international journals published between 2021 and 2025. The findings show that adolescent sleep quality is shaped by personal factors, including attitudes toward sleep, self-efficacy, and psychological conditions. Environmental factors, such as parental support, peer influence, and academic demands, also significantly affect sleep patterns. In addition, behavioral factors, particularly sleep hygiene practices, play a key role in determining sleep quality. Consistently, unhealthy sleep behaviors are associated with poor sleep quality. Therefore, comprehensive interventions are needed, involving the improvement of sleep habits, strengthening adolescents’ self-regulation abilities, and enhancing family and school support to promote better sleep quality.

The era of digitalization demands that the world of education adapt quickly to technological developments. One of the basic skills that elementary school students need to have is the ability to operate a computer, particularly in typing and using word processing applications. Community service research was conducted at the Kemala Bhayangkari Foundation 1 Medan with the aim of improving students' digital literacy thru typing training using Microsoft Word and the interactive media 10fastfingers.com. The training method is conducted using a workshop model, which consists of two main topics. The first material is a basic introduction to typing using the ASDF;LKJ pattern and the use of important keyboard keys. The second material is an introduction to basic Microsoft Word features, such as changing font type and size, using Bold, Italic, Underline, changing text color, and highlighting. Additionally, students are trained to use 10fastfingers.com to interactively improve their typing speed and accuracy. The research instruments are pretest-posttest, observation, and student response questionnaires. The research results show a significant improvement in typing skills. Average speed increased from 8–10 words per minute to 20–25 words per minute, with over 85% accuracy. Student responses were also very positive; they felt more confident, more motivated, and able to use Microsoft Word more effectively. This training program has proven effective in improving digital literacy among elementary school students while also fostering an interest in technology-based learning.

This research examines the coordination efforts of the Karanganyar District Disaster Management Agency (BPBD) in managing disasters, identifying obstacles, and exploring efforts to strengthen these coordination efforts. Utilizing a qualitative approach with a case study method, the study aims to investigate the mechanisms of cross-sector coordination, communication patterns, and division of labor within BPBD. Data was gathered through in-depth interviews, observations, and document studies, and analyzed using an interactive model. The findings indicate that BPBD's coordination is relatively effective, demonstrated through unified action, a multi-channel communication system, and a clear division of labor. However, challenges remain, including the complexity of cross-sectoral coordination, differences in capacity and authority, and the pressure of emergency situations. The study concludes that improving coordination requires enhancing staff discipline, developing human resource capacity, and strengthening an integrated work system. These efforts are vital for improving the overall effectiveness of disaster management at the local level, ensuring a more efficient and comprehensive response to disasters in the future.

This study investigates the integration of computational thinking (CT) principles with adaptive curricula to enhance problem-solving skills in undergraduate programming education. Traditional programming curricula often emphasize syntax and basic concepts, neglecting critical problem-solving strategies. The adaptive curriculum framework used in this study combines CT skills such as decomposition, pattern recognition, abstraction, and algorithmic thinking with personalized learning experiences. A mixed-method approach, combining qualitative and quantitative research, was employed to assess the effectiveness of this integrated approach. The results show significant improvements in students' problem-solving abilities, conceptual understanding, and engagement compared to a control group following a traditional curriculum. Students in the experimental group, which received the adaptive curriculum, demonstrated better performance in applying algorithms and debugging code. Additionally, students expressed higher levels of engagement and motivation, suggesting that the personalized learning environment fostered greater academic involvement. The study highlights the importance of integrating CT principles with adaptive learning frameworks to create a more inclusive and effective learning environment that accommodates diverse learning needs. The findings suggest that adaptive curricula can bridge gaps in traditional education by providing personalized support and ensuring that students progress at their own pace. This approach is especially beneficial for programming education, where both conceptual understanding and practical problem-solving skills are critical for success. Future research should explore the long-term impact of adaptive learning frameworks and investigate how these technologies can be integrated with traditional teaching methods to maximize their effectiveness.

The rapid proliferation of Internet of Things (IoT) devices across diverse industries has significantly increased the vulnerability of IoT edge networks to sophisticated cyber threats. Traditional intrusion detection systems (IDS), such as signature-based and anomaly-based approaches, are often insufficient in addressing the dynamic and evolving nature of these threats. This study proposes a hybrid intrusion detection system (IDS) framework that combines supervised machine learning (ML) techniques with deep reinforcement learning (DRL) to enhance detection performance in real-time, resource-constrained IoT environments. The proposed framework utilizes supervised learning for initial traffic classification and DRL for adaptive decision-making, enabling the system to continuously learn and optimize its detection policies based on new attack patterns. The hybrid approach significantly improves detection accuracy and reduces false positives when compared to conventional signature-based and single-model ML systems. In addition to improved detection capabilities, the framework's computational efficiency allows it to operate effectively within the constraints of IoT devices, ensuring that it is suitable for large-scale deployments. Benchmark evaluations using publicly available datasets, such as NSL-KDD, IoT-23, and BoT-IoT, show that the hybrid IDS framework outperforms traditional methods, providing a more robust and adaptive solution to cybersecurity challenges in IoT edge networks. The findings of this study suggest that combining machine learning with deep reinforcement learning offers a promising approach to secure IoT environments and address the limitations of existing IDS techniques. Future work will explore enhancing real-time adaptability, scalability, and the detection of zero-day attacks in evolving IoT ecosystems.

Malnutrition in children remains a serious public health challenge in Indonesia because it directly impacts growth, cognitive development, and the child's future quality of life. Parents play a crucial role in maintaining children's health, particularly in providing balanced nutrition and preventing nutritional problems such as stunting and malnutrition. This study aims to analyze the role of parents in maintaining children's health due to malnutrition based on a literature review. The method used is a qualitative literature study, through a search of various written sources in the form of scientific journals, articles, and relevant books obtained from Google Scholar. The results of the study indicate that the level of knowledge, education, parenting patterns, socioeconomic conditions, and active involvement of parents in monitoring children's growth significantly influence children's nutritional status and health. Parents play a role as providers of nutritious food, nutrition educators, role models of healthy lifestyles, and regular monitors of children's growth and development. Parents' lack of understanding of balanced nutrition, the habit of consuming instant foods, and minimal participation in health programs are risk factors for malnutrition in children. Therefore, increasing parental education and involvement through a family-based approach is an important strategy in efforts to prevent and address child nutrition problems sustainably.

This study aims to develop an effective predictive model for identifying students at risk of academic dropout using the Decision Tree and Linear Regression algorithms. The data used are sourced from the public Kaggle dataset Students Dropout and Academic Success, which includes demographic, socioeconomic, and academic performance variables for each semester. The research method includes data preprocessing stages, such as data cleaning, label encoding for categorical variables, numeric feature normalization, and target class adjustment to focus on binary classification, namely Dropout and Graduate. The modeling process is carried out by comparing the performance of the two algorithms using evaluation metrics of accuracy, precision, and recall. The results show that the Decision Tree algorithm has superior performance compared to Linear Regression in mapping non-linear patterns in student data. Feature importance analysis revealed that the number of curricular units in the second semester and tuition payment status are the main predictors of dropout risk. These findings are expected to assist educational institutions in implementing early interventions to improve student academic success.  

Psychological well-being is a fundamental construct in individual development; however, within guidance and counseling practice it is often positioned merely as an indirect outcome of problem-focused interventions. Philosophically and empirically, psychological well-being holds substantial potential to be established as a primary goal of guidance and counseling services. This article aims to examine psychological well-being as an axiological objective of guidance and counseling through a philosophy of science perspective supported by recent empirical evidence. The method employed is a literature review of scholarly publications from the last eight years retrieved through Google Scholar. Eleven relevant articles were selected and analyzed using thematic synthesis to identify conceptual patterns and empirical findings related to psychological well-being in the context of guidance and counseling. The results indicate that psychological well-being is conceptualized as a long-term developmental outcome reflecting holistic human functioning, encompassing dimensions such as autonomy, purpose in life, personal growth, environmental mastery, self-acceptance, and positive relations with others. Various guidance and counseling interventions particularly those based on mindfulness and positive psychology interventions have been empirically demonstrated to effectively enhance eudaimonic well-being. From an axiological perspective, psychological well-being possesses strong value foundations and aligns with the ethical mandate of guidance and counseling to promote optimal human development. This article underscores the necessity of a paradigm shift in guidance and counseling practice, moving from a predominantly problem-oriented approach toward a well-being-oriented framework in which psychological well-being is positioned as a central and explicit goal of professional services.  

Arabica coffee (Coffea arabica) contains various bioactive compounds such as caffeine, polyphenols, flavonoids, and alkaloids that have the potential to produce diverse pharmacological effects on both the autonomic and central nervous systems. The variation in its chemical composition is influenced by factors such as cultivar, post-harvest processing, and preparation methods, resulting in biological responses that are dose-dependent and not always linear. This study aimed to evaluate the pharmacological activity of arabica coffee simplicia powder at three concentrations (1%, 2%, and 4%) by observing parasympathomimetic, parasympatholytic, sympathomimetic, sympatholytic, analeptic, central nervous system stimulation and depression, as well as muscle relaxation parameters. The research was conducted using a laboratory experimental design with test animals administered orally according to the designated concentrations. The results showed that some parameters increased at higher concentrations, such as parasympathomimetic activity (51.85%) and central nervous system stimulation (63.74%), while other parameters demonstrated decreasing or biphasic patterns, such as sympatholytic activity, which was high at 1% and 4% but low at 2%, and analeptic activity, which dropped sharply at 2% and increased again at 4%. These response patterns align with literature indicating that caffeine and polyphenols such as chlorogenic acid may interact synergistically or antagonistically, generating complex pharmacological effects through mechanisms involving adenosine modulation, excitatory neurotransmitters, the enteric nervous system, as well as antioxidant and anti-inflammatory pathways. Overall, this study demonstrates that arabica coffee simplicia exhibits multipotential pharmacological activity, with responses strongly influenced by concentration and the composition of its bioactive compounds, thereby providing a basis for further research on the phytopharmaceutical potential of arabica coffee.

This study aims to analyze the implementation of affective learning strategies in Akidah Akhlak subjects to enhance students' self-control at MTs Muhammadiyah 02 Purbalingga. Affective learning strategies focus on character development through the inculcation of religious values such as patience, honesty, and discipline, aimed at helping students manage their emotions, thoughts, and behavior in daily life. The research employed a qualitative method with a descriptive approach. Data were obtained through in-depth interviews with Akidah Akhlak teachers, the principal, and students, as well as classroom observation. Data analysis was conducted using thematic coding to identify patterns in the implementation of affective learning strategies and their impact on students' self-control. The findings indicate that the implementation of affective learning strategies is carried out through five main stages: receiving, responding, valuing, organization, and characterization. Each stage involves structured approaches, such as using inspirational stories from the Qur'an and Hadith, group discussions, value reflections, and case study simulations. These strategies successfully enhanced students' self-control, particularly in emotional regulation, wise decision-making, and consistent behavior aligned with Islamic values. This study concludes that affective learning strategies play a vital role in improving students' self-control. Systematic and collaborative implementation can assist madrasahs in producing a generation that is faithful, knowledgeable, and morally upright, in line with the vision of Islam.

Business competition in the culinary sector continues to increase along with changes in people's consumption patterns towards ready-to-eat food. One product that is quite popular is fried dim sum, which is known for its variety of flavors and relatively affordable prices. In this competitive environment, understanding how consumers perceive product price and quality is crucial for businesses to maintain and increase customer interest in purchasing goods. Consumer perceptions of product price and quality when they choose fried dim sum are the subject of this study. Informants were selected purposively in this study, which used a qualitative and descriptive approach, namely consumers who have purchased and consumed fried dim sum products. Data collection methods included comprehensive interviews, direct observation, and supporting documentation. The collected data were analyzed using an interactive analysis model developed by Miles and Huberman through steps such as data reduction, data presentation, and discovery. The results show that consumers view price as an indicator related to the affordability and suitability of the product value. Price is considered acceptable if it is commensurate with perceived quality. In addition, product quality, including taste, texture, cleanliness, and packaging, is a primary factor considered before making a purchase. Positive perceptions of product quality increase customer trust and encourage repeat purchases. This study concluded that customer perceptions or opinions about price and product quality influence fried dim sum purchasing decisions. Therefore, culinary businesses need to prioritize proportional pricing and maintain consistent product quality to enhance business competitiveness.

This study aimed to analyze differences in body composition among adult women across three regions with distinct sociocultural and environmental characteristics: Baduy Luar (rural–traditional), Salatiga (semi-urban), and Kota Bambu (urban). Using a cross-sectional design, the study involved 268 participants and assessed total body fat, visceral fat, subcutaneous fat, and skeletal muscle mass using the OMRON HBF-370 analyzer. Significant differences were observed across most body composition parameters (p < 0.001). Women living in the urban area exhibited the highest levels of total fat, visceral fat, and subcutaneous fat, reflecting the influence of urbanization and sedentary lifestyle on adiposity. Conversely, women in the rural–traditional community demonstrated the highest skeletal muscle mass across all body regions, consistent with their physically demanding daily activities and traditional dietary patterns. These findings highlight the substantial role of environmental context in shaping metabolic health and cardiometabolic risk. Targeted public-health interventions—such as structured physical-activity promotion and nutrition education in urban populations, and preservation of active lifestyles in rural communities—are recommended. Longitudinal studies are warranted to clarify causal pathways and further characterize metabolic determinants.

Diarrhea and Tuberculosis (TB) remain significant public health problems in Indonesia, including Rembang Regency. This study aims to analyze the spatial distribution and temporal changes of Diarrhea and TB cases in Rembang Regency during 2023–2024 using a Geographic Information Sistem (GIS) approach. A descriptive-analytic method was applied using secondary data, including administrative boundary shapefiles, disease case data, and health facility data at the sub-district level. Spatial processing and analysis were conducted using QGIS to produce thematic maps and compare disease distribution patterns between years. The results indicate that Diarrhea and TB cases were unevenly distributed across sub-districts and formed distinct spatial patterns. Case changes between 2023 and 2024 varied spatially, reflecting dynamic disease trends. The integration of disease maps with health facility distribution shows that areas with high case numbers were not always supported by adequate health facilities. The implementation of GIS-based maps into a web platform enhances accessibility and supports spatial-based public health decision-making.

Social emotional development in early childhood is an important foundation for children's psychological and social functioning in later stages of development. This process is greatly influenced by the quality of interactions within the family environment, including the level and quality of the father's involvement in parenting. Although various studies show that fathers play a significant role in shaping children's emotional regulation, independence, and social competence, studies that systematically integrate the role of fathers within the framework of psychosocial and sociocultural development theory are still relatively limited. This study aims to critically analyze the role of fathers in shaping the emotions and socialization of early childhood based on the perspectives of Erik Erikson's psychosocial development theory and Lev Vygotsky's sociocultural theory. This study uses a qualitative approach with a Literature Study Review (LSR) method of reputable national and international journal articles, academic books, and scientific proceedings published in the period 2020–2025. The data were analyzed through thematic synthesis and conceptual analysis. The results of the study show that consistent, responsive, and supportive father involvement contributes significantly to the development of emotional regulation, self-confidence, social initiative, and adaptive social interaction skills in children. These findings confirm the relevance of Erikson and Vygotsky's theories and provide theoretical and practical implications for the development of family parenting patterns and early childhood education policies that encourage optimal father involvement.

Listening skills are fundamental in English language learning because they are the main gateway to language proficiency. However, students often face obstacles such as differences in accents, the speed of native speakers, and limited vocabulary. This study aims to describe the use of the Spotify application as a learning medium to improve students' listening skills. This study uses a descriptive qualitative approach. The research subjects were third-semester students of the English Education Study Program at UIN Sumatera Utara (UINSU) in class TBI 2. Data were collected through questionnaires covering content usage patterns, duration, and application feature utilization. The results showed that: Students actively use Spotify (music and podcasts) as a source of authentic language input independently. Using Spotify has a positive impact on vocabulary comprehension, pronunciation, intonation, and conversation comprehension skills. The playback speed feature helps students control the audio speed according to their ability level, making the learning process more flexible and personalized. Consistent listening duration (15–30 minutes) is effective in supporting the development of listening skills without causing cognitive fatigue.