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Currently, patients experiencing early symptoms of skin disease caused by the exanthema virus are unable to immediately consult a dermatologist due to the high cost and limited time available for specialists in hospitals. Therefore, the author needs to develop an expert system application that can address this issue. Through this application, users can consult with the system, much like an expert, to diagnose their symptoms and find solutions to their problems. This expert system is designed to provide answers based on whether the symptoms are correct or not, or to provide several recommended answer choices based on the symptoms. To diagnose skin disease caused by the exanthema virus, the author used the Case-Based Reasoning method. The CBR method is a weighting technique that compares new cases with previous cases. The diagnosis is based on data provided by the patient and expert, which is then analyzed using case-based reasoning and stored as a knowledge database in the expert system. Therefore, this expert system can help identify solutions for problems experienced by patients suffering from skin disease caused by the Exanthema Virus.

Job placement is a brief and concise summary of the process of placing employees in positions that match their expertise, skills, and knowledge within an organization. Human capital refers to the knowledge, skills, competencies, and attributes of individuals that contribute to economic and social performance. Teamwork is one of the important factors in increasing effectiveness and productivity in an organizational environment. Employee performance is one of the main indicators in determining the success and competitiveness of an organization. This study aims to analyze the effect of job placement, human capital, and teamwork on employee performance at PT. Faithfull The Brand. This study was conducted at PT. Faithfull The Brand. The research population was employees of PT. Faithfull The Brand. The sample in this study was 87 respondents who were determined based on the Slovin formula. The data analysis technique used was multiple linear regression analysis using the SPSS program. The results of testing the hypothesis stated that job placement had a positive and significant effect on employee performance at PT. Faithfull The Brand, human capital had a positive and significant effect on employee performance at PT. Faithfull The Brand, and teamwork had a positive and significant effect on employee performance at PT. Faithfull The Brand.

The field practice program, also known as Innovation Development, is a community service activity conducted by students of STIE Madani Balikpapan aimed at assisting Micro, Small, and Medium Enterprises (MSMEs) in improving their business performance and sustainability in the city of Balikpapan. In this program, Group 6 focuses on the MSME “Mamidah’s Homemade,” located in RT 34, Mekar Sari Subdistrict, Central Balikpapan District, which operates in the home-based food production sector. This activity is designed to provide practical assistance and applied knowledge to address several existing business challenges faced by the MSME. The main objectives of this Innovation Development activity are: (1) to assist in creating a systematic, structured, and consistent financial recording system as a basis for operational planning, evaluation, and decision-making; (2) to support the development of a comprehensive and well-organized business portfolio to strengthen business identity and credibility; and (3) to help business owners enhance their digital branding capabilities through the effective use of online platforms and social media to expand market reach and competitiveness.

Public speaking is an essential communication skill that plays a crucial role in enhancing self-confidence, delivering ideas effectively, and fostering social participation. However, many women in rural areas still lack opportunities to develop this skill due to limited access to training, gender stereotypes, and minimal experience in public forums. These challenges lead to low levels of women’s involvement, particularly housewives who are members of PKK, in community activities and decision-making processes at the local level. This study aims to examine the impact of public speaking training on improving the knowledge, self-confidence, and social participation of PKK mothers in Nagari Sumpur Kudus. The research employed a descriptive qualitative method with a participatory approach through interactive lectures, speaking practice simulations, reflective discussions, participatory observations, and qualitative evaluations. Data were analyzed using data reduction, data display, and conclusion drawing based on field notes, observations, and participants’ feedback. The findings indicate that the training successfully improved participants’ understanding of basic public speaking techniques, including intonation, eye contact, body language, and structured idea delivery. Furthermore, the participants experienced significant growth in self-confidence, courage to speak in front of groups, and motivation to continuously practice their communication skills. The interactive and supportive learning atmosphere also strengthened collaboration and solidarity among PKK members. Thus, public speaking training not only enhances individual competencies but also contributes to women’s empowerment and their active participation in community development at the village level.  

The Community Service Program (Kuliah Kerja Nyata / KKN) of Universitas Muhammadiyah Tangerang (UMT) in Sukadiri Village, Tangerang Regency, was implemented with the aim of empowering the community through strengthening tourism-based MSMEs and raising environmental awareness. This program employed a participatory qualitative descriptive approach, in which students acted as facilitators in assisting the community. The main focus included sustainable tourism literacy, MSME digitalization, waste segregation management, and community literacy improvement. Key activities carried out consisted of designing logos and digital branding for MSMEs, conducting ecoprinting training utilizing local flora, delivering legal counseling on bullying within the scope of the Electronic Information and Transactions Law (ITE), creating educational boards and segregated waste bins, establishing a reading corner, and supporting food security through corn planting. The results indicated increased community awareness of environmental management, improved skills of MSME actors in utilizing digital technology, and the growth of literacy culture among children and youth. In addition to providing tangible benefits for the community, this program also enriched students’ experiences in applying their academic knowledge directly in the field. Therefore, the KKN in Sukadiri Village not only contributed to sustainable village development but also served as a best practice model that could be replicated in other regions.

Sambofuar Village in Samofa District, Biak Numfor Regency, faces various maternal health challenges due to limited access to healthcare services, low socioeconomic conditions, and inadequate capacity of posyandu cadres in supporting pregnant women with high-risk conditions. With a population of 954 people and 228 households, only 64% of pregnant women received antenatal care during the second trimester, while 18% did not undergo any pregnancy check-up. To address these issues, the Student Creativity Program was implemented using a community-based cadre empowerment approach. The program was carried out from October 11 to December 9, 2024, involving five posyandu cadres, most of whom were 50–59 years old, had an elementary school education, and had more than five years of experience. The intensive training provided resulted in a significant increase in knowledge, where pre-test scores ranging from 30–50 improved to 70–90 in the post-test. Mentoring activities at the posyandu also showed that all cadres (100%) were able to perform their duties effectively, including providing health education and independently assisting high-risk pregnant women. This program has contributed positively by improving cadre competency, strengthening maternal health literacy, and potentially reducing the risk of pregnancy complications. Overall, cadre empowerment through training and education has proven effective and should be continued to strengthen the maternal health system in Sambofuar Village.

: The rapid expansion of cybersecurity standards and threat intelligence frameworks has led to significant semantic fragmentation among security terminologies, hindering effective information retrieval and interoperability across systems. Traditional keyword-based search approaches are inadequate for capturing the contextual meaning of security terms, particularly within formal frameworks such as NIST, MITRE ATT&CK, and CWE. This study addresses this challenge by proposing CyberBERT, a transformer-based semantic search framework designed to align cybersecurity terminologies through deep contextual representation and ontology-driven reasoning. Research Objectives: The primary objective of this research is to develop a semantic retrieval model capable of understanding conceptual relationships between security terms beyond lexical similarity. Methodology: The proposed methodology fine-tunes a BERT-based model on the NIST Glossary corpus using a combination of masked language modeling and triplet loss objectives to generate discriminative semantic embeddings. These embeddings are further aligned with cybersecurity ontologies, including MITRE ATT&CK and CWE, to enhance semantic consistency and explainability. Semantic retrieval is performed using cosine similarity within a 768-dimensional embedding space and evaluated using Mean Reciprocal Rank (MRR) and Precision@K metrics. Results: Experimental results demonstrate that CyberBERT achieves an MRR of 0.832, outperforming domain-adapted baselines such as SecureBERT and CyBERT. The integration of ontology alignment improves semantic accuracy by over 6%, while robustness evaluations confirm resilience against adversarial linguistic perturbations. Visualization using t-SNE reveals coherent semantic clustering aligned with the five core NIST Cybersecurity Framework functions. Conclusions: In conclusion, CyberBERT effectively bridges semantic gaps across cybersecurity terminologies by combining transformer-based contextual learning with ontological reasoning. The framework offers a robust, interpretable, and scalable solution for semantic search, supporting improved interoperability and knowledge discovery in cybersecurity operations and standards harmonization.

This study aims to analyze the application of accounting according to PSAK 65 concerning consolidated financial statements to assess the company's financial performance at PT Warung Begok Indonesia. The object of this study is a company in the field of processed livestock manufacturing for the period 2023-2024. The data in this study are primary data sourced from the annual financial reports of the head office and branches. The total sample in this study was 3 company financial reports. Data collection techniques used interviews and documentation. The hypothesis in this study was tested using descriptive analysis techniques. Based on the data analysis carried out in this study, it shows that the financial statements before and after consolidation have an effect on the assessment of the company's financial performance. This study contributes to increasing knowledge and understanding of the head office and branch consolidated reports according to PSAK 65, and can assess the company's financial performance. Although the consolidated report has been carried out, it is hoped that the company will continue to apply controls and policies in its implementation, because this can affect the assessment of the company's financial performance so that it will be useful in decision making.

General education at Islamic Religious Higher Education Institutions (PTKI) plays an important role in developing students’ critical thinking skills so they can analyze religious and social issues reflectively and contextually. However, learning practices in PTKI are still dominated by teacher-centered approaches and low cognitive achievement, which limits the development of analytical, evaluative, and problem-solving abilities. Meanwhile, studies show that integrating digital media, particularly video, can improve conceptual understanding, motivation, and cognitive engagement, yet a digital video-based meaningful learning model specifically designed for the PTKI context remains limited. Therefore, this study aims to formulate a Digital Video-Based Meaningful Learning Model (MPBBVD) to enhance students’ critical thinking skills. This research employed a literature review method by analyzing books, scientific articles, research reports, and digital sources related to meaningful learning, constructivism, multimedia learning, digital video use, and critical thinking development. Data were analyzed descriptively and qualitatively to identify the theoretical foundations, learning syntax, and design principles of the model. The findings indicate that MPBBVD integrates Ausubel’s Meaningful Learning theory, constructivist perspectives from Piaget, Vygotsky, and Bruner, Mayer’s Multimedia Learning theory, and the critical thinking framework of Facione and Ennis. The model uses digital video as the main learning medium and applies the ACTIVE stages (Attend, Connect, Think, Interpret, Verify, Evaluate) to promote contextual and interactive learning. Integrating pre-, during-, and post-video activities supports knowledge construction, reduces cognitive load, and increases student engagement, contributing theoretically and practically to improving critical thinking in PTKI in the Industrial Revolution 4.0 era.

Recommender systems play a critical role in shaping user decisions across digital platforms; however, the increasing complexity of recommendation algorithms has raised serious concerns regarding transparency, trust, and accountability. This study focuses on enhancing the transparency of recommender systems by integrating Explainable Artificial Intelligence (XAI) techniques within a MovieLens-based recommendation framework. The primary problem addressed is the opacity of conventional recommendation models, which limits user understanding of why certain items are recommended and may reduce trust, perceived fairness, and system acceptance. Accordingly, the main objective of this research is to design and evaluate a hybrid explainable recommender system that balances predictive accuracy with human-understandable explanations. The proposed approach combines Matrix Factorization, feature-importance-aware neural networks, and knowledge graph embeddings to construct a robust recommendation model. To enhance explainability, multiple XAI strategies are integrated, including model-agnostic methods (LIME, SHAP, and CLIME), argumentation-based explanations, and context-aware personalized explanations. A comprehensive evaluation framework is employed, incorporating algorithmic metrics (accuracy, fidelity, robustness, counterfactual consistency, and fairness) alongside human-centered evaluations measuring trust, transparency, cognitive load, and perceived usefulness. Experimental results demonstrate that the knowledge graph–enhanced hybrid model achieves superior recommendation accuracy compared to baseline approaches. Moreover, context-aware explanations consistently outperform other methods in terms of fidelity, robustness, and user-perceived transparency, while argumentation-based explanations are found to be the most persuasive. CLIME offers a strong balance between technical stability and interpretability. The findings indicate that no single explainability technique is universally optimal; instead, hybrid and adaptive explanation strategies are most effective. In conclusion, this study confirms that human-centered, context-adaptive XAI significantly improves transparency and user trust in recommender systems, highlighting explainability as a fundamental component rather than an optional enhancement.

This paper explores the epistemological dimensions of the digital transformation occurring in traditional game development through the integration of machine learning systems. By examining how knowledge creation, validation, and application have evolved in this domain, we identify fundamental shifts in the epistemological frameworks governing game development practices. The research investigates how machine learning has redefined creative processes, technical implementation, and experiential design while challenging traditional notions of authorship, expertise, and knowledge transmission. Through analysis of industry case studies, technological capabilities, and theoretical frameworks, this paper contributes to understanding how machine learning systems are not merely tools but epistemological agents that fundamentally transform how knowledge is generated, validated, and utilized in game development ecosystems.

The community in Cibangkong Village, Pekuncen District, Banyumas Regency, still widely uses jamu (traditional herbal medicine) as part of their daily healthcare practices, often in combination with modern medical drugs. Limited understanding of the potential interactions between herbal and pharmaceutical medicines may pose health risks. This community service activity aimed to improve public knowledge and awareness regarding the dangers of drug–herb interactions through educational and interactive approaches. The implementation methods included health education sessions and group discussions. Participants of the activity were members of Muslimat NU 1 Pekuncen. The results showed a 60% improvement in community understanding, based on simple pre-test and post-test evaluations. The community also became more cautious and motivated to consult healthcare professionals before consuming jamu together with prescription medicines. This activity successfully increased public awareness about the safe and responsible use of both modern and traditional medicines.

Laskar Buah is a modern retail chain specializing in the sale of fresh fruit. At present, the company operates one hundred branches across ten regencies. One of its outlets, Laskar Buah Ngumpakdalem, ranks among the top three branches in terms of transaction volume; however, it has received a considerable number of customer complaints regarding the quality of service provided. This situation has prompted management to conduct a thorough evaluation of the store’s service quality.This study was conducted with the aim of analyzing and evaluating service quality using the Importance–Performance Analysis (IPA) method based on the Retail Service Quality Scale (RSQS). The results of the IPA analysis were subsequently used as a foundation for determining priority areas for service improvement.The findings reveal that four service attributes fall within Quadrant B, indicating that they should be prioritized for immediate improvement. These attributes include the cleanliness of the shopping area, store layout, employee product knowledge, and product quality. Additionally, twelve attributes fall under Quadrant C, where performance should be maintained due to their already strong results. On the other hand, eleven attributes fall into Quadrant A, meaning they are considered lower  priority, while one attribute is located in Quadrant D, suggesting that Laskar Buah Ngumpakdalem is providing excessive performance in that particular aspect.

The development of digital technology, big data, and artificial intelligence has fundamentally changed the way scientific knowledge is produced, validated, and used. The classical scientific paradigm, which relies on objectivity, linearity of methods, and empirical verification, is no longer entirely adequate to explain contemporary phenomena that are complex, dynamic, and non-linear. In this context, this study highlights the urgency of reconceptualizing science and scientific methods in order to remain relevant to modern research challenges. This article aims to identify the limitations of the classical scientific paradigm in understanding modern reality, analyze the transformation of scientific methods as a result of developments in computational technology and data analytics, and formulate directions for reconceptualizing science and research methodologies in line with the needs of the digital age. The research uses a conceptual approach through the integration of theory, epistemological criticism, and empirical findings from previous studies The results of the study show that classical epistemology is insufficient to capture the adaptive and networked phenomena that arise from socio-technological interactions. Scientific methods are shifting towards non-linear, data-driven, and complexity-based approaches, where patterns can be identified before hypotheses are formulated. In addition, technologies such as machine learning and predictive computing are forming new epistemic structures that impact scientific validity. The implications of the study emphasize the need for multi-method mastery, digital and algorithmic literacy, and the integration of ethical principles as core components of modern scientific methodology.  

The background of this research stems from the need to reexamine the position of theories of truth in the philosophy of science as a basis for the formation of scientific ethics amid the increasingly complex development of modern science. The concept of truth not only functions as an epistemological guideline in determining the validity of knowledge, but also has a normative dimension that influences the integrity, honesty, and responsibility of scientists in the research process. Based on this, this study aims to analyze various theories of truth, including correspondence, coherence, pragmatism, consensus, performativity, deflationism, and foundationalism, and to explain the relevance of each approach to the formation of scientific ethics. This study uses a literature review method with a descriptive-analytical approach through a systematic search of relevant journals, books, and academic sources, which are then analyzed through thematic synthesis to obtain a comprehensive conceptual understanding. The findings show that each theory of truth has a unique contribution to building scientific ethics. Correspondence emphasizes the importance of empirical verification, coherence emphasizes rational consistency, pragmatism highlights theoretical functionality, consensus places scientific dialogue as the legitimization of knowledge, performativity connects truth with action, the deflationary approach emphasizes clarity of language, and foundationalism provides a stable epistemic foundation. The implications of this research show that the integration of these various theories can form a more robust, holistic, and adaptive framework of scientific ethics to the demands of modern scientific practice. This framework is expected to strengthen an honest, transparent, and accountable scientific culture, while opening opportunities for the development of epistemology-based research ethics guidelines in the future.

This community-based program aims to strengthen the economic resilience of marginalized groups in Pakistan through a social entrepreneurship model that promotes inclusion, innovation, and long-term sustainable growth. The initiative responds to persistent socio-economic inequalities that limit opportunities for low-income populations, particularly women, youth, and rural communities. By integrating entrepreneurial training, financial literacy education, and community-based business incubation, the program equips participants with the skills needed to initiate and sustain micro-enterprises. The model emphasizes the use of local resources, socially responsible business practices, and community-led decision-making to ensure contextual relevance. Data collected through baseline assessments, participatory workshops, and post-program evaluations show significant improvement in participants’ entrepreneurial competencies, confidence, and engagement in local economic activities. Government officials, NGOs, and private-sector partners reported increased trust and willingness to collaborate with trained communities. Feedback from participants highlights enhanced motivation, improved financial knowledge, and stronger social networks. Overall, the program demonstrates that social entrepreneurship can be a powerful mechanism for inclusive economic development when combined with capacity building, community mobilization, and strategic partnerships. Findings offer insights for policymakers and academic researchers seeking scalable models to address marginalization and promote sustainable growth in Pakistan’s diverse socio-economic landscape.

Global environmental challenges require active engagement from all sectors, including education. For Muslim youth, awareness of environmental sustainability aligns with Islamic ethical principles such as stewardship (khalifah), justice (ʿadl), and social welfare (maslahah). This study examines the influence of green economy education within Islamic higher education on students’ eco-literacy, ethical awareness, and sustainable economic behavior. A quantitative approach was employed using a structured questionnaire distributed to students from both Islamic economics and non-economics programs. Data were analyzed with descriptive statistics, independent t-tests, and one-way ANOVA to identify differences in environmental knowledge, attitudes, and behavior. Findings show that students with an Islamic economics background consistently achieve higher scores in knowledge, attitudes, and behavioral engagement related to sustainability compared to non-Islamic economics students. Integrating Islamic ethical values into the curriculum provides a holistic framework for internalizing sustainability principles, encouraging students to translate ethical knowledge into practical action. Pedagogical strategies such as project-based learning, reflective exercises, and experiential programs further enhance engagement and eco-conscious behavior. The study highlights the critical role of Islamic education in fostering a generation of ethically aware and environmentally responsible students. By embedding moral and ecological principles in academic programs, educational institutions can strengthen students’ capacity for sustainable decision-making and support broader goals of responsible economic and environmental stewardship.

Infections caused by pathogenic microorganisms remain a major health challenge. One preventive promotive effort to reduce infection incidence is through the use of traditional medicinal plants, such as celery (Apium graveolens L.) which is known to have antimicrobial activity. This community service program aimed to increase the knowledge of PKK cadres in Klender Urban Village regarding the antimicrobial benefits of celery through educational outreach. The activity was held on June 12, 2025, involving 14 PKK cadres as participants. Evaluation was carried out using pre-test and post-test questionnaires, analyzed using the Wilcoxon test. The results showed a significance value of 0.002 (p<0.05), indicating a significant increase in knowledge after the intervention. The average percentage of correct answer increased by 37.2%. Additionally, all of participants demonstrated  good knowledge levels in the post-test and none were in the poor category. These findings indicate that education through outreach is effective in improving community understanding of celery’s antimicrobial potential. Local plant-based education is expected to be a sustainable preventive strategy to improve public health.Keywords: education, celery, antimicrobial, knowledge PKK cadres

Introduction: Stunting remains a major public health problem in Indonesia, including in Blang Teue Village, North Aceh, where the prevalence of children at risk of stunting reaches 28% (Public Health Center, 2023). The main contributing factors are mothers’ limited knowledge of locally sourced complementary feeding (MP-ASI) and restricted access to nutrition education media. This community service program aimed to empower the community by developing QR Code-based interactive educational posters as an accessible and user-friendly nutrition learning tool. Methods : The method employed was Community-Based Participatory Research (CBPR) with a Participatory Action Research (PAR) approach, involving 30 respondents (mothers of toddlers), health cadres, village officials, lecturers, and students. Results : The results indicated a significant improvement in mothers’ knowledge regarding local MP-ASI, where the percentage of respondents with high knowledge increased from 20% to 67% after the intervention. Utilization of QR Code media was also high, with 60% of respondents accessing it intensively, and a positive relationship was found between the intensity of media utilization and knowledge level (83% of high-intensity users achieved high knowledge). Conclusion : This program not only enhanced community knowledge and skills but also fostered the emergence of local leaders from health cadres and PKK members, as well as promoted social transformation through strengthened digital literacy and the use of local food in stunting prevention.

Background: Stunting remains one of the leading public health problems in Indonesia, including in Blang Teue Village, Lhokseumawe City, where the prevalence reaches 27.6%. Purpose: This community service program aimed to develop an innovative community-based production model for locally sourced complementary feeding (MP-ASI) through the empowerment of PKK women’s groups and Posyandu cadres. The program focused on improving nutritional knowledge, production skills, and digital capabilities related to child growth monitoring. Methods: The Participatory Action Research (PAR) approach was employed through several stages, including identification of local food resources, training on the production of nutrient-dense complementary foods made from mackerel and moringa leaves, and digital education for promotion and child growth recording using Google Sheets. Results: The program demonstrated significant improvements, including an increase in knowledge related to stunting prevention (participants in the “good” category rose from 5% to 72.5%), enhanced production skills for NABUNG complementary food (85%), and improved digital literacy among Posyandu cadres in creating educational media and recording child growth data. Conclusion: This program successfully developed an innovative community-based MP-ASI production model that not only supports stunting prevention but also strengthens digital literacy and fosters community independence in managing child nutrition