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This study aims to analyze the use of generative artificial intelligence (GenAI) among theology students and its ethical and theological implications for theological education in the Society 5.0 era. The study employs a light mixed-methods approach with a sequential explanatory design, involving theology students as survey and interview participants. The findings show that GenAI is primarily used as a tool to understand course materials, seek initial explanations, develop ideas, and complete academic assignments. Although students demonstrate awareness of potential bias, dependency, plagiarism, and other ethical risks, practices of transparency, information verification, and critical reflection have not been carried out consistently. The concept of imago Dei is relevant as a theological lens for evaluating technology use because it affirms human dignity, responsible freedom, and moral accountability in academic practice. This study concludes that GenAI can support theological learning constructively when used wisely, integrated with Christian faith-based ethical literacy, and strengthened through clear institutional policies, lecturer guidance, and an academic culture that upholds integrity, discernment, and accountability.

Dengue fever remains a major global health challenge, particularly in tropical regions, due to the high transmission of Dengue virus by Aedes aegypti and the limited sustainability of current control strategies. Artocarpus odoratissimus, an endemic Bornean plant, contains diverse secondary metabolites with potential pharmacological activities; however, a systematic synthesis of its biomedical relevance to Dengue is still lacking. This study aimed to systematically evaluate the biomedical potential of A. odoratissimus in Dengue prevention and control through a systematic literature review. This study employed a systematic literature review method following the PRISMA 2020 guidelines. Literature searches were conducted in Scopus, ScienceDirect, SpringerLink, PubMed, Google Scholar, Garuda, SINTA, and other relevant scientific databases for publications from January 2016 to February 2026. A total of 303 records were identified, and after duplicate removal, title and abstract screening, and full-text eligibility assessment, 23 studies were included for narrative synthesis. The findings revealed that A. odoratissimus contains major bioactive compounds, including flavonoids, phenolics, arylbenzofurans, stilbenoids, and prenylated chalcones, which demonstrate antioxidant, anti-inflammatory, immunomodulatory, and potential antiviral activities based on in vitro and molecular docking studies. Fruit peel, seeds, and stem bark exhibited the strongest biological evidence, particularly in reducing oxidative stress, inhibiting inflammatory mediators, and potentially interacting with Dengue viral target proteins. Furthermore, several species within the Artocarpus genus showed larvicidal and ovicidal activities against Aedes aegypti, highlighting the potential development of A. odoratissimus as a plant-based biolarvicide candidate.

Cutaneous fungal infections caused by Malassezia furfur remain a significant health concern in tropical regions, highlighting the need for safe and effective alternative therapies. Moringa oleifera L. leaves are reported to contain various secondary metabolites, including flavonoids, tannins, and saponins, which exhibit potential antifungal activity. This study aimed to develop a topical suspension formulation of Moringa oleifera leaf extract and to evaluate the effect of varying extract concentrations on the physical characteristics of the preparation. An experimental method was employed using four formulations: F0 as the control, and F1, F2, and F3 containing 9%, 10%, and 11% extract, respectively. Evaluation parameters included organoleptic properties, homogeneity, pH, viscosity, and adhesiveness, as well as stability testing using a cycling test method for 12 days. The results demonstrated that all formulations exhibited good organoleptic characteristics, homogeneity, and viscosity. The pH values remained within the acceptable range for skin preparations, although slight fluctuations were observed during storage. Adhesiveness also showed variations across several testing cycles. Overall, the formulations met acceptable physical quality criteria and demonstrated potential for further development as topical suspensions; however, formulation optimization is still required to enhance stability during storage.

Cutaneous fungal infections caused by Malassezia furfur remain a significant health concern in tropical regions, highlighting the need for safe and effective alternative therapies. Moringa oleifera L. leaves are reported to contain various secondary metabolites, including flavonoids, tannins, and saponins, which exhibit potential antifungal activity. This study aimed to develop a topical suspension formulation of Moringa oleifera leaf extract and to evaluate the effect of varying extract concentrations on the physical characteristics of the preparation. An experimental method was employed using four formulations: F0 as the control, and F1, F2, and F3 containing 9%, 10%, and 11% extract, respectively. Evaluation parameters included organoleptic properties, homogeneity, pH, viscosity, and adhesiveness, as well as stability testing using a cycling test method for 12 days. The results demonstrated that all formulations exhibited good organoleptic characteristics, homogeneity, and viscosity. The pH values remained within the acceptable range for skin preparations, although slight fluctuations were observed during storage. Adhesiveness also showed variations across several testing cycles. Overall, the formulations met acceptable physical quality criteria and demonstrated potential for further development as topical suspensions; however, formulation optimization is still required to enhance stability during storage.

Dengue fever remains a major global health challenge, particularly in tropical regions, due to the high transmission of Dengue virus by Aedes aegypti and the limited sustainability of current control strategies. Artocarpus odoratissimus, an endemic Bornean plant, contains diverse secondary metabolites with potential pharmacological activities; however, a systematic synthesis of its biomedical relevance to Dengue is still lacking. This study aimed to systematically evaluate the biomedical potential of A. odoratissimus in Dengue prevention and control through a systematic literature review. This study employed a systematic literature review method following the PRISMA 2020 guidelines. Literature searches were conducted in Scopus, ScienceDirect, SpringerLink, PubMed, Google Scholar, Garuda, SINTA, and other relevant scientific databases for publications from January 2016 to February 2026. A total of 303 records were identified, and after duplicate removal, title and abstract screening, and full-text eligibility assessment, 23 studies were included for narrative synthesis. The findings revealed that A. odoratissimus contains major bioactive compounds, including flavonoids, phenolics, arylbenzofurans, stilbenoids, and prenylated chalcones, which demonstrate antioxidant, anti-inflammatory, immunomodulatory, and potential antiviral activities based on in vitro and molecular docking studies. Fruit peel, seeds, and stem bark exhibited the strongest biological evidence, particularly in reducing oxidative stress, inhibiting inflammatory mediators, and potentially interacting with Dengue viral target proteins. Furthermore, several species within the Artocarpus genus showed larvicidal and ovicidal activities against Aedes aegypti, highlighting the potential development of A. odoratissimus as a plant-based biolarvicide candidate.

The Role of Leadership in the Implementation of Employee Performance Supervision at the Manpower and Transmigration Office at the Regional Manpower Supervisory Agency (UPTD) for Regional Manpower Supervisory Agency (Balai Wasnaker) 1. This study aims to determine the role of leadership in the implementation of employee performance supervision. Effective leadership is an important factor in ensuring that employees perform their duties and responsibilities in accordance with organizational goals and established regulations. The research method used was descriptive qualitative, with data collection techniques through observation, interviews, and documentation. Informants were selected based on their involvement in supervision activities and understanding of employee performance management. The results indicate that leadership plays a significant role through direction, coaching, monitoring, and evaluation of employee performance. Employee performance is generally quite good, but supervision has not been optimal due to limited time, diverse tasks, and inconsistent evaluation follow-up. In addition, communication and coordination between leaders and employees influence the effectiveness of supervision. Therefore, the implementation of leadership-supported supervision has a positive impact on employee discipline, responsibility, and work effectiveness, but there is still a need for improvement in the consistency of employee supervision and coaching to achieve optimal organizational performance.

Background: Non-communicable diseases (NCDs) are a major global public health concern, with hypertension affecting an estimated 1.4 billion adults worldwide. In Indonesia, the prevalence of hypertension among individuals aged 18 years and above reached 30.8% in 2023. In Kecamatan Tonjong, Kabupaten Brebes, the number of hypertension sufferers aged 15 years and above reached 15,951 people in 2025. Objective: To implement comprehensive family nursing care for Ny. S, family of Tn. F, who experienced cardiovascular system disorders due to hypertension in Desa Karang Jati RT 01 RW 05, Kecamatan Tonjong, Kabupaten Brebes. Method: This study used a descriptive narrative method with a nursing process approach (assessment, diagnosis, intervention, implementation, and evaluation), conducted through home visits over three days from December 26–28, 2025. Data were collected through interviews, observation, physical examination, and documentation. Results: Two nursing diagnoses were identified: acute pain related to hypertension and knowledge deficit regarding hypertension. Nursing interventions included pain management, oral medication administration (captopril 25 mg), and health education. Complementary non-pharmacological therapy using cucumber juice was applied once daily for three days. Conclusion: After three days of nursing implementation, both nursing diagnoses were fully resolved. Blood pressure decreased from 165/90 mmHg to 132/77 mmHg and the pain scale reduced from 4 to 1. Discharge planning was provided including recommendations for routine blood pressure monitoring, healthy lifestyle, and consistent medication adherence.

Background: Acute pharyngitis is an inflammation of the pharynx caused by viral or bacterial infections, frequently resulting in sore throat, fever, and dysphagia. This condition is among the most prevalent acute respiratory tract infections in children and adolescents worldwide, contributing significantly to morbidity and the burden of healthcare services. Objective: This case study aimed to describe the comprehensive nursing care provided to patient An. F with acute pharyngitis at Ward Anggrek 1, RSUD dr. Soeselo, Tegal Regency. Methods: A descriptive study design with a nursing process approach was employed. Data were collected through anamnesis, physical examination, observation, and documentation review. The nursing process encompassed assessment, nursing diagnosis, intervention planning, implementation, and evaluation. Results: Assessment revealed chief complaints of throat pain (NRS scale 5), fever (38.8°C), erythematous tonsils, and nutritional deficit. Three nursing diagnoses were established: acute pain related to physiological injury, hyperthermia related to disease process, and knowledge deficit related to insufficient information exposure. Interventions included pain management, hyperthermia management, and health education. Following two days of nursing care, the patient’s condition significantly improved, with pain scale reduced from 5 to 3 and body temperature normalized to 37.7°C. Conclusion: Comprehensive nursing care incorporating pharmacological and non-pharmacological approaches effectively reduced pain and fever, and improved patient and family health literacy regarding acute pharyngitis.

This study investigates the implementation of the Gradient Boosting Machine (GBM) algorithm for network intrusion detection using the CICIDS2017 dataset within the CRISP-DM framework. The process encompasses Business Understanding, Data Understanding, and Data Preparation including data cleaning, categorical feature encoding, normalization, and data split (80 % training, 20 % testing). In the Modeling phase, GBM Hyperparameters (learning_rate = 0.1; max_depth = 5; n_estimators = 150) were optimized via Grid Search with 2-fold Cross Validation, and F1-Score  was selected as the primary metric due to class imbalance. Evaluation on the test set yielded accuracy of 99.99 %, precision of 100 %, Recall of 99.98 %, and F1-Score  of 99.99 %, demonstrating exceptional detection capability with minimal false negatives and false positives. Compared to previous studies, this GBM model outperforms in accuracy and stability without overfitting. These findings confirm GBM’s effectiveness for modern Intrusion Detection Systems and its suitability for Deployment in resource-constrained operational environments.

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.

Digitalization in the fitness industry is increasingly essential to improve efficiency and service quality. However, many fitness centers still manage data manually, including KRESNA GYM, which faces challenges in member registration, workout scheduling, and facility information delivery. This study aims to design a web-based e-fitness application using the Laravel framework to support digital service management. The development follows the Waterfall model through stages of requirement analysis, design, implementation, testing, and evaluation. The application includes features such as a landing page, admin/member login and registration, management dashboards, workout schedules, equipment guides, and supplement listings. Black-box testing confirms that all features function as expected. This system simplifies administrative processes and enhances member experience, making it effective in supporting digital transformation at KRESNA GYM.

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.

Bank stock price prediction is an important topic in the application of information technology because stock price movements are dynamic, sequential, and influenced by historical market patterns. This study aims to predict Indonesian banking stock prices using the Long Short-Term Memory method and evaluate the effect of Bayesian Optimization on model performance. The data used in this study consists of daily historical stock data of BBCA, BBNI, BBRI, BBTN, and BMRI from May 4, 2020, to May 4, 2026, obtained from Yahoo Finance. The input features include opening price, highest price, lowest price, closing price, and trading volume, while the prediction target is the stock closing price. The results show that the baseline model produced MAPE values ranging from 1.892% to 3.147%. The best baseline performance was obtained on BBCA with an R² value of 0.933, followed by BBTN with an R² value of 0.902. After optimization, performance improvement occurred on BBTN, with MAPE decreasing from 3.147% to 2.482% and R² increasing from 0.902 to 0.935. For BMRI, MAPE decreased from 2.385% to 2.206%, and R² increased from 0.687 to 0.743. This study concludes that Long Short-Term Memory can be used to predict Indonesian banking stock prices, while Bayesian Optimization can selectively improve model performance depending on the characteristics of each stock dataset.

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 analyze the financial management practices of the Es Degan Bu Ulfa MSME and their compliance with the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM). The study used a qualitative approach with a case study method. Data were obtained through interviews and observations, then analyzed descriptively and qualitatively.   This study aims to analyze the financial management practices of the Es Degan Bu Ulfa MSME and their compliance with the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM). The study used a qualitative approach with a case study method. Data were obtained through interviews and observations, then analyzed descriptively and qualitatively. The results indicate that financial management is still carried out simply and does not yet implement written records. Business income and expenses still rely on memory, even though business owners perform daily profit and loss calculations and separate personal and business finances. The main obstacles faced include limited human resources and a low understanding of financial record keeping and the SAK EMKM. Based on the analysis, financial management practices are not fully compliant with SAK EMKM standards. Therefore, the implementation of simple financial record keeping is necessary to structure business financial information and support business decision-making. Proper financial management can help improve business performance, monitor cash flow, evaluate profitability, and enhance accountability. Furthermore, the application of SAK EMKM is expected to facilitate access to financing and strengthen the sustainability and competitiveness of MSMEs in an increasingly competitive business environment.

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.

Adolescents are a nutritionally vulnerable group at risk of double burden of malnutrition. Riskesdas 2023 data showed that the prevalence of undernutrition in adolescents aged 13–15 years in North Sumatra reached 16.8%, while overweight and obesity reached 18.3%. The habit of consuming unhealthy snacks at school is one of the main preventable risk factors through structured nutrition education. Objective: This community service program aimed to increase knowledge of balanced nutrition and healthy snack selection behavior among Grade VIII students of SMP Negeri 19 Medan. Methods: Activities were carried out through interactive lectures, demonstrations, educational games, and workshops with 64 students. Evaluation used pre-test and post-test analysis with Wilcoxon Signed Rank Test. Results: There was a significant increase in nutritional knowledge in both classes (p=0.001) and healthy snack selection behavior (p=0.000). Conclusion: The Healthy Teen School program effectively improved adolescent nutrition knowledge and behavior.

This community service activity aims to boost the self-confidence of seventh-grade students at SMP Negeri 2 Taniwel Timur, West Seram Regency, many of whom struggle with speaking in public. The activity was conducted through an arts performance as part of the University of Pattimura’s Community Service Program (KKN). The process was divided into three simple stages: preparation (meetings with the school and selecting competitions such as public speaking, poetry reading, or solo singing), implementation (students performed for 2 hours while receiving praise and positive feedback), and evaluation (observing changes such as more confident eye contact and a louder voice). As a result, the students participated actively, and their hesitation decreased significantly due to hands-on practice and support from teachers and peers. The arts performance proved to be an easy and comprehensive way to help students become more confident and sociable.

This study aims to develop and evaluate the feasibility of Teknoran, a website-based digital learning medium developed through the Canva application for the Office Technology subject in Grade X at SMKN 31 Jakarta. The study was motivated by learning activities that were still dominated by lecture methods and limited learning media. Teknoran was designed to facilitate learning through integrated features such as learning materials, assignments, and educational games within a single platform. This research employed the Research and Development (R&D) method using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. Data were collected through observation, needs analysis questionnaires, validation sheets from material and media experts, and student response questionnaires during one-to-one and small group trials. Data were analyzed using descriptive quantitative and qualitative techniques. The results showed that the Teknoran website achieved a feasibility score of 95% from material experts and 93.33% from media experts, both categorized as “Very Feasible.” Student responses also indicated a very high level of acceptance, with an average score of 95.68%. These findings demonstrate that Teknoran is highly feasible as a digital learning medium and can support more interactive, flexible, and independent learning in Office Technology subjects at SMKN 31 Jakarta.

A balanced diet is a daily dietary pattern that contains nutrients in types and amounts appropriate to the body's needs. Knowledge of balanced nutrition and healthy eating habits is an important factor in preventing nutritional problems among adolescents. A lack of understanding regarding appropriate food choices can lead to unhealthy eating behaviors. Therefore, nutrition education is needed to improve students’ knowledge and awareness of the importance of implementing a balanced diet in daily life. This counseling activity aimed to increase students’ knowledge regarding balanced dietary patterns. The activity was conducted on June 4, 2025, at State Junior High School 5 Kendari and involved 30 seventh-grade students as respondents. The counseling methods included lectures using PowerPoint media, an ice-breaking session in the form of the WHO six-step handwashing simulation, question-and-answer sessions, and interactive quizzes. Evaluation was carried out using pre-tests and post-tests to measure students’ knowledge levels before and after the counseling activity. The results showed an increase in the mean knowledge score from 68.40 in the pre-test to 89.67 in the post-test. The paired t-test analysis showed a Sig. (2-tailed) value of 0.000 (p < 0.05), indicating a significant difference between pre-test and post-test results. In addition, students gave positive responses to the counseling activity, stating that the material was interesting, easy to understand, and enjoyable. These findings indicate that balanced diet counseling was effective in improving students’ knowledge regarding the implementation of healthy eating habits in daily life.