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This research aims to analyze and compare traditional Islamic education systems in Indonesia, Malaysia, and Thailand, focusing on institutional aspects, education systems, learning methods, and curricula. Using a literature study method with a descriptive qualitative approach, this research examines various relevant literature regarding the dynamics of Islamic education in Southeast Asia. The results show that the three countries share fundamental similarities in educational forms, such as pesantren or pondok, which focus on Islamic sciences and moral cultivation. However, significant differences exist in management patterns and the level of integration with government policies. Indonesia maintains a variety of salaf and modern pesantren, Malaysia exhibits a more structured system integrated with the state, while Thailand specifically in the Patani region tends to be adaptive in response to its Muslim minority status. This comparison concludes that the development of traditional Islamic education systems in each country is heavily influenced by the respective social and political contexts.

The Celeng Behel tradition is a form of local wisdom practiced by the people of Soropadan Village, Pringsurat District, Temanggung Regency, and is carried out through the Sadranan Kali ritual. This study aims to explain the form and function of the Celeng Behel tradition in the community’s daily life. The research uses a qualitative descriptive method with folklore and semiotic approaches. Data were collected through interviews, observations, and documentation, then analyzed to understand the cultural meanings behind the tradition. The results show that the Celeng Behel tradition has two main forms. First, it exists as oral folklore in the form of stories passed down from generation to generation. Second, it appears as a ritual practice, namely Sadranan Kali, which is held every year on the 10th of Sapar at Bendung Pondoh. The ritual includes communal prayers, the preparation of offerings, and the release of ducks into the river. These activities symbolize the community’s gratitude for the water that supports their farming and daily needs. The tradition also has important functions. It serves as a way for the community to express their hopes and concerns about nature, especially related to water and agriculture. It also strengthens social rules and cultural values that have been passed down over time. From a semiotic point of view, the symbols used in the ritual have both direct meanings and deeper cultural meanings that form shared beliefs in the community. In conclusion, the Celeng Behel tradition is not only a cultural activity, but also an important way to maintain harmony between humans, nature, and spiritual values in the life of the Soropadan community.

The fiqh principle stating that a leader’s policies and actions toward the people must be based on public welfare is an Islamic legal principle emphasizing that every action and policy of a leader should be oriented toward the interests and well-being of society. This study aims to examine the meaning, normative foundations, concepts, and implementation of this principle in state governance. The research employs a library research method with a normative approach through the analysis of the Qur’an, Hadith, fiqh literature, scholarly journals, and relevant legislation. The findings indicate that this principle has a strong foundation in the Qur’an and Hadith, particularly regarding trustworthiness, justice, and the responsibility of leaders toward their people. Conceptually, this principle is closely related to the theories of maqashid al-shari’ah and siyasah shar’iyyah, which place public welfare as the primary objective of Islamic law. In practice, the principle is applied in various fields, including public administration, law and legislation, religious policies, as well as economic and fiscal policies. Its implementation can be seen in policies concerning the prohibition of interfaith marriage, marriage dispensation, marriage legalization hearings (isbat), the suspension of Hajj departures during the COVID-19 pandemic, and the management of state finances during the era of the Rightly Guided Caliphs. Therefore, this principle demonstrates that Islamic law possesses flexible and adaptive characteristics while maintaining a strong orientation toward public welfare, making it relevant to modern systems of governance.

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

This study examines the role of the creative economy in enhancing sustainable tourism potential in Pampang Cultural Village, Samarinda, Indonesia, and identifies strategic priorities for its development. Pampang Cultural Village is recognized for its rich cultural heritage preserved by the Dayak Kenyah community, which serves as a valuable tourism asset. Despite this potential, the contribution of creative economy activities to tourism development has not been fully optimized. Therefore, a comprehensive analysis is needed to formulate effective development strategies. This research employs a mixed qualitative–quantitative approach using the SWOT-AHP method. SWOT analysis is utilized to identify internal strengths and weaknesses as well as external opportunities and threats affecting creative economy development. Subsequently, the Analytic Hierarchy Process (AHP) is applied to determine the priority level of each strategic factor and alternative strategy. The findings indicate that the village possesses significant creative economy potential in cultural performances, handicrafts, culinary products, traditional fashion, and cultural souvenirs. Cultural authenticity emerges as the primary strength, while limited innovation capacity and digital marketing skills remain the major weaknesses. The results further reveal that the highest-priority strategy is the development of innovative creative tourism products rooted in Dayak Kenyah cultural heritage while preserving cultural authenticity. This strategy should be supported by digital promotion, human resource capacity building, stakeholder collaboration, and improvements in tourism infrastructure to achieve sustainable tourism development.

Phishing is one of the most common and dangerous cyber attacks as it can trick users into providing sensitive information such as usernames, passwords, and personal data. This study aims to simulate Phishing techniques using the Zphisher tool as an educational medium to improve cybersecurity awareness. The method used is a quasi-experimental approach involving 30 participants exposed to Phishing scenarios in a controlled environment using Kali Linux. The results show that 83% of participants clicked the Phishing link and 60% entered their credentials, while 40% demonstrated awareness by avoiding further interaction. These findings indicate that cybersecurity awareness is still relatively low, but Phishing simulation is effective as an experiential learning tool.

The Free Nutritional Meal Program (MBG) is a government policy that is widely discussed by the public through social media, especially TikTok. Various comments that have emerged indicate differences in public opinion towards the program, so an analysis is needed to determine the tendency of public sentiment. This study aims to analyze TikTok user sentiment towards the Free Nutritional Meal Program using the Naive Bayes method. The research method is carried out through several steps, namely collecting TikTok comment data, preprocessing text, labeling sentiment data into positive, negative, and neutral, feature transformation using TF-IDF, and classification using the Naive Bayes algorithm. Based on the analysis of 500 comment data, the results show that positive sentiment dominates public opinion by 42% (210 data), followed by negative sentiment by 36% (180 data), and neutral sentiment by 22% (110 data). Testing the classification model using Naive Bayes produces excellent performance with an accuracy rate of 86%, precision of 84%, recall of 85%, and F1-score of 84%. The conclusion of this study shows that the Naive Bayes method is effective as an approach in social media sentiment analysis to map public responses to government policies.

Python programming has become a fundamental competence in the digital era, yet students often struggle to transform algorithmic logic into functional code. This gap between conceptual understanding and practical implementation skills requires a thorough investigation into learning challenges within the Industrial Informatics Engineering Technology (TRIN) program at Politeknik Manufaktur Bandung. Grounded in Bloom's Revised Taxonomy and Cognitive Load Theory, this descriptive quantitative study utilized a Likert-scale questionnaire and an objective comprehension test administered to 87 third-year students. Data were analyzed using descriptive statistics to map performance across three aspects: conceptual understanding, syntactic comprehension, and implementation ability. Results indicate the conceptual aspect achieved the highest average of 4.15, followed by syntax at 3.56 and implementation at 3.54, with objective test accuracy rates of 76.09%, 65.52%, and 67.36%, respectively. Major obstacles identified include difficulties with looping, debugging, and comparison operators. Therefore, enhanced structured practice and Project-Based Learning approaches are recommended to strengthen students' implementation competencies.

Consumption of sweetened coffee with various mixtures has become an unhealthy habit for the younger generation. Kopi Babah Kacamata, a legendary tubruk coffee in Salatiga, has been affected by this change. Many people are still unaware of the brand and the consumption of black coffee is declining. Therefore, this research will discuss the positive impact of consuming tubruk coffee with the Kopi Babah Kacamata brand as a soft selling medium for young people. This research uses mixed-sequel exploratory method and linear strategy in its design. The results of this study can be concluded that promotional videos with a storytelling approach for Kopi Babah Kacamata effectively introduce to the target audience.

Malware represents an evolving cybersecurity threat that demands more effective detection methods. Conventional signature-based detection systems have limitations in identifying new variants, driving the development of deep learning-based approaches. This research implements and evaluates four variants of the YOLOv11 algorithm (n, s, m, l) for malware classification based on visual image representation. The dataset consists of 22,056 malware and benign images, divided into 70% training, 15% validation, and 15% testing across 8 classes (adware, backdoor, benign, downloader, spyware, trojan, virus, worm). Each model was trained for 100 epochs with batch size 32 using Google Colab with GPU support. Results demonstrate that all variants achieve high accuracy (97.8%-98.1%) with YOLOv11m as the best performer (98.1%). YOLOv11n offers optimal balance between accuracy (97.9%) and efficiency (1.5M parameters, 0.3 ms/img inference) ideal for real-time applications. This research surpasses previous methods such as K-NN (97.18%) and hybrid CNN (96.55%) with superior inference speed (0.3-0.9 ms/img vs tens to hundreds of ms/img), proving the effectiveness of YOLOv11 for fast, accurate, and scalable malware detection.

Online maps applications have become an essential tool for modern society in finding the fastest and most efficient routes. However, these applications often fail to detect current road conditions such as flooding, demonstrations, accidents, or public events, causing users to get stuck in problematic routes. This study aims to develop a prototype of a community-based road condition reporting system, visualized through a web-based digital map. The system allows users to directly report road conditions by providing photo evidence, descriptions, and event categories. It is also equipped with features for designing event routes such as carnivals and suggesting alternative paths based on community reports. The development process was carried out using a simulation-based approach with scenario testing that reflects real field conditions, without involving direct user data. The implementation results show that all core features work properly. The technologies used include Leaflet.js, OpenStreetMap, and the Nominatim geolocation API. This research produces an adaptive community-based GIS model that can be further developed as an intelligent navigation solution at the city scale

The rapid growth of e-commerce among university students has provided greater convenience in conducting digital transactions. However, it has also created various challenges, including online fraud, discrepancies between advertised and delivered products, delayed shipments, and limited understanding of consumer rights and dispute resolution mechanisms. This community service program aimed to enhance legal literacy and increase students’ awareness of consumer protection in electronic transactions, particularly within the Faculty of Teacher Training and Education (FKIP) of Yapis University Papua. The program employed an educational-participatory approach through counseling sessions, interactive discussions, case simulations, and participant comprehension evaluations. The materials covered consumer rights and obligations, common violations in electronic transactions, complaint procedures on e-commerce platforms, and non-litigation dispute resolution mechanisms. The results demonstrated a significant improvement in students’ understanding of consumer protection laws, their ability to identify violations of consumer rights, and their knowledge of appropriate actions when disputes arise in online shopping transactions. Furthermore, participants showed strong engagement throughout the activities and were able to apply their knowledge effectively during case simulations. The program contributed to the development of more critical, informed, responsible, and legally aware digital consumers who are better prepared to engage safely and confidently in e-commerce activities.

This study aims to determine the influence of product packaging, sales promotions, and online customer reviews on Skintific skincare purchase decisions on the TikTok platform, both partially and simultaneously. The method used in this study is a quantitative approach. The sample consisted of 96 respondents who were selected as research participants. Data collection was carried out using questionnaire statements designed to measure respondents’ perceptions of each research variable. The data obtained were then analyzed using multiple linear regression analysis to examine the relationship between independent and dependent variables. In addition, hypothesis testing was conducted using the t-test to determine the partial effect of each independent variable and the F-test to determine the simultaneous effect of all independent variables on the dependent variable. The results of the study indicate that product packaging has a significant partial effect on Skintific skincare purchase decisions on the TikTok platform. Sales promotions also have a significant partial effect on purchase decisions, as they influence consumer interest and purchasing behavior. Furthermore, online customer reviews significantly affect purchase decisions by providing social proof and influencing consumer trust. Simultaneously, product packaging, sales promotions, and online customer reviews have a significant combined effect on Skintific skincare purchase decisions on the TikTok platform, indicating that these variables jointly play an important role in shaping consumer purchasing behavior.  

Background: Adenoid hypertrophy is a condition characterized by enlargement of the adenoid tissue which can cause nasopharyngeal obstruction and potentially affect the function of the Eustachian tube. Dysfunction of the Eustachian tube may disrupt middle ear ventilation and increase the risk of otitis media. The degree of adenoid hypertrophy can be objectively assessed using a lateral nasopharyngeal radiograph by calculating the adenoid–nasopharyngeal ratio (A/N ratio). Objective: This study aimed to determine the relationship between adenoid hypertrophy based on the adenoid–nasopharyngeal ratio and the incidence of otitis media. Methods: This study was a quantitative research with an analytic observational design using a cross-sectional approach. Data were obtained from the medical records of patients with adenoid hypertrophy who underwent lateral nasopharyngeal radiographic examination at RSI Purwokerto from 2022 to 2025. The sample consisted of 31 patients who met the inclusion and exclusion criteria. Data analysis was performed using the Spearman correlation test because the data were not normally distributed based on the Shapiro–Wilk test. Results: The results showed that most of the subjects were male (17 subjects, 54.8%) and female (14 subjects, 45.2%). The median age of the subjects was 7 years with an age range of 4–9 years. The median adenoid–nasopharyngeal ratio was 0.90 with a range of 0.68–0.99. Otitis media was found in 11 subjects (35,5%), while 20 subjects (64,5%) did not experience otitis media. The Spearman correlation test showed a correlation coefficient of r = 0.015 with a p-value of 0.936 (p > 0.05), indicating that there was no significant relationship between the adenoid–nasopharyngeal ratio and the incidence of otitis media. Conclusion: There was no statistically significant relationship between adenoid hypertrophy based on the adenoid–nasopharyngeal ratio and the incidence of otitis media.

This study aims to analyze the effect of Perceived Organizational Support (POS) and Work Engagement on employee performance with organizational commitment as a mediating variable at SMEs in Kasongan, Bantul, Yogyakarta. This research was motivated by the importance of improving employee performance in the SME sector, which still faces various challenges, such as low employee engagement, suboptimal organizational support, and weak organizational commitment. This study employed a quantitative approach using a survey method. The population of this research consisted of employees working in SMEs in Kasongan, Bantul, Yogyakarta. The sampling technique used was purposive sampling with a total of 150 respondents. Data were collected through questionnaires using a Likert scale. The data analysis method used was Structural Equation Modeling based on Partial Least Square (SEM-PLS). The results showed that Perceived Organizational Support had a positive and significant effect on employee performance. However, Work Engagement did not have a significant direct effect on employee performance. In addition, Perceived Organizational Support and Work Engagement were found to have a positive and significant effect on organizational commitment. Organizational commitment also had a positive and significant effect on employee performance. The mediation test results indicated that organizational commitment partially mediated the effect of Perceived Organizational Support on employee performance and fully mediated (full mediation) the effect of Work Engagement on employee performance. This study implies that improving organizational support and strengthening organizational commitment are important strategies for enhancing employee performance in the SME sector, particularly in SMEs in Kasongan.

The Integrated Primary Care Posyandu (ILP) program requires cadres to assume a much broader role compared to conventional Posyandu services. In the working area of Puskesmas Penusupan, ILP achievement reached only 20% in 2025, while merely 25 out of 225 cadres (11%) had received related training. This condition indicates that cadre readiness needs to be examined more comprehensively before the program can be implemented optimally. This study aimed to analyze the factors associated with the readiness of ILP Posyandu cadres using a descriptive-analytic method with a cross-sectional approach. The study involved 144 cadres selected proportionally from a population of 225 using the Slovin formula. Data were collected through structured interviews using a validated questionnaire and analyzed using univariate, bivariate (Spearman Rank), and multivariate (ordinal logistic regression) analyses. The results showed that among the eight variables examined, only skills (r = 0.171; p = 0.040) and resource availability (r = 0.225; p = 0.007) were significantly associated with cadre readiness. In the multivariate analysis, resource availability emerged as the most influential factor with an OR = 2.839 (95% CI: 1.311–6.149), indicating that cadres supported by adequate resources were 2.8 times more likely to demonstrate good readiness. In conclusion, resource availability was identified as the dominant factor associated with the readiness of ILP Posyandu cadres in the working area of Puskesmas Penusupan. Therefore, improving the availability of facilities and infrastructure, providing practice-based training, and strengthening operational support should become priority programs in the future.

This study was conducted to analyze the relationship between students’ critical thinking skills and mathematical problem-solving abilities through a literature review approach. The study is based on the importance of mastering higher-order thinking skills in the mathematics learning process, particularly when students are faced with complex problems related to real-life situations. The method used in this research was a literature review by examining various relevant scientific journals and academic books published between 2021 and 2026. The data analysis process was carried out through stages of identification, classification, evaluation, and synthesis of the collected sources. The findings revealed a significant and positive relationship between critical thinking skills and students’ mathematical problem-solving abilities. Critical thinking skills play an important role in helping students understand problems, process and analyze information, select appropriate solution strategies, and systematically review the results obtained. Students with strong critical thinking skills generally demonstrate more optimal mathematical problem-solving abilities. In addition, the implementation of learning models such as Problem-Based Learning and contextual approaches has been considered effective in improving both abilities. Therefore, critical thinking skills are regarded as an essential aspect that needs to be developed in mathematics learning in order to enhance students’ mathematical problem-solving abilities.

Chronic rhinosinusitis (CRS) is a long-term inflammatory condition affecting the nasal mucosa and paranasal sinuses, which significantly impacts patients’ quality of life due to persistent and recurrent symptoms. Limited epidemiological data regarding CRS are available in Central Kalimantan, particularly at RSUD dr. Doris Sylvanus in Palangka Raya, prompting this study to determine its prevalence and patient distribution characteristics. This research employed a quantitative descriptive design with a cross-sectional approach. Data were collected from medical records of patients diagnosed with CRS in 2023 and 2024. Univariate analysis was conducted, and results were presented in tables and diagrams illustrating frequency distributions by year, gender, age, and main complaints. The findings showed a total of 118 CRS patients, with 53 cases in 2023 and 65 cases in 2024. The prevalence of CRS increased from 4.91% in 2023 to 10.83% in 2024. Based on gender, males accounted for 50.8% (60 patients), while females represented 49.2% (58 patients). The age group most affected was 46–55 years (31%), indicating a predominance among individuals of productive age. Nasal congestion was the most frequent primary complaint, reported by 35% of patients. The study concludes that the prevalence of CRS at RSUD dr. Doris Sylvanus increased notably from 2023 to 2024, with a slightly higher incidence among males in the productive age group. These findings highlight the need for enhanced preventive measures and early diagnosis to manage CRS more effectively in the local population.

The practice of buying and selling rubber commodities in Gurun Tuo Village has not fully aligned with Islamic business ethics principles, particularly regarding honesty (ṣidq), gharar (uncertainty), and justice (‘adl). This condition has the potential to disadvantage one of the parties, especially farmers as the main producers. Therefore, this study aims to analyze the practice of rubber trading and assess its conformity with the principles of Islamic business ethics. This research employed a qualitative approach using observation, interviews, and documentation as data collection techniques. Rubber farmers, collectors, and other related parties in Gurun Tuo Village were selected as informants. The collected data were analyzed descriptively to describe the actual conditions in the field. The results showed that several practices were still inconsistent with Islamic business ethics principles, such as the lack of transparency in determining quality and prices, the presence of gharar elements in the weighing process, and inequality in price determination that affected fairness for farmers. Nevertheless, some business actors had attempted to implement honesty in transactions. This study concludes that the practice of rubber commodity trading in Gurun Tuo Village has not fully complied with Islamic business ethics principles, especially in terms of honesty (ṣidq), justice (‘adl), and the prohibition of gharar. Factors influencing these conditions include internal factors such as socio-cultural, economic, and educational aspects, as well as external factors in the form of weak village institutions. However, the implementation of Islamic business ethics can be improved through transparency, education, and strengthening institutions such as cooperatives.

This study examines the concept of compassion-based education (rahmatan lil ‘alamin) from the perspective of Islamic educational philosophy and its relevance to bullying prevention in Islamic educational institutions. The study is motivated by the tendency of modern education to emphasize cognitive achievement while giving less attention to moral and affective development, resulting in the persistence of bullying behavior in educational settings. This study employs a qualitative approach using library research. Data were collected from the works of Muslim scholars, scientific journals, and relevant literature on Islamic education and analyzed through content analysis. The findings reveal that compassion-based education is built upon the integration of moral development, purification of the heart, and the cultivation of adab (proper conduct). These elements contribute to the development of empathy, social concern, and moral awareness among students. Therefore, compassion-based education (rahmatan lil ‘alamin) has strong relevance as a preventive approach to reducing bullying behavior and fostering a more humane and supportive educational environment in Islamic educational institutions.