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The gap between vocational students’ competencies and the needs of the digital creative industry requires efforts to enhance students’ technological and creative skills. This community service program aimed to improve the digital competence and creativity of vocational students through Canva-based motion graphics training. The program was conducted at SMK Swasta Nur Azizi Tanjung Morawa using lectures, demonstrations, hands-on practice, and mentoring methods. The results showed that participants were able to understand bassic motion graphics concepts and produce simple animated works using Canva. Evaluation results indicated that more than 80% of participants were able to operate Canva’s basic animation features, and all participants successfully produced at least one motion graphics project, with an average competency improvement of approximately 30% compared to pre-training levels. Overall, the training proved effective in enhancing students’ creative skills, confidence, and readiness to meet the demands of the digital creative industry.

Savings and Loan Cooperatives (KSP) play a vital role in expanding community access to capital, especially within the informal sector. Nevertheless, non-performing loans remain a persistent challenge that can threaten liquidity and long-term institutional sustainability. KSP CU Mera Ndi Ate faces similar issues, which are assumed to stem not only from administrative weaknesses but also from members’ perceptions and behavioral factors. This research aims to examine the potential causes of non-performing loans through text-based sentiment analysis using an unsupervised learning approach. A quantitative method with a data mining framework was applied. Data were gathered through interviews, observations, documentation, and 200 customer opinion texts processed using the Orange Data Mining application. The analytical stages included preprocessing, corpus development, feature extraction, sentiment clustering, and visualization. Because the dataset lacked predefined labels, unsupervised learning was used to identify naturally emerging sentiment patterns. Findings reveal a predominance of critical sentiments related to credit assessment procedures and service quality. The highest sentiment score (75) concerned insufficient creditworthiness evaluation, followed by concerns about service efficiency (66.6667). These insights suggest that improving assessment accuracy and service quality may help reduce non-performing loans.

This study is motivated by the increasing need for accurate modeling and classification of one-dimensional signal data in intelligent systems. The rapid development of deep learning has led to the adoption of more adaptive and complex neural network architectures capable of capturing both temporal dependencies and local patterns in sequential data. This research aims to analyze and compare the performance of several deep learning models, namely Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid Convolutional Neural Network–GRU (CNN–GRU) model for signal data classification. The research method employs a quantitative experimental approach involving data preprocessing, windowing, model training, and performance evaluation. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the hybrid CNN–GRU model outperforms the other models, particularly in capturing local features and long-term temporal dependencies within signal data. These findings suggest that the integration of convolutional layers and recurrent mechanisms enhances feature representation and learning stability. This study is expected to contribute both theoretically and practically to the development of deep learning models for signal processing and time-series-based intelligent applications.

The assessment of students’ academic performance in higher education is generally still dominated by conventional numerical approaches, which are less capable of representing qualitative and subjective variables such as classroom activeness and student participation. These approaches often result in evaluations that are not holistic and do not fully reflect students’ overall academic achievements. Therefore, this study aims to analyze the concept of fuzzy logic as a support tool for assessing students’ academic performance in higher education, with a case study of students at Universitas Asahan. The research method employs a descriptive qualitative and quantitative approach by applying Mamdani fuzzy logic. The input variables consist of exam scores, assignment scores, and classroom activeness, while the system output is the category of academic performance, namely sufficient, good, and very good. The sample data consist of ten active undergraduate students from Universitas Asahan. The data processing stages include fuzzification, the construction of fuzzy rules (rule base), fuzzy inference, and defuzzification using the centroid method. The results indicate that fuzzy logic is able to integrate quantitative and qualitative variables and accommodate uncertainty in academic assessment. The resulting evaluation is more proportional and realistic compared to conventional assessment methods based solely on average scores. Therefore, fuzzy logic can be considered an effective and flexible alternative approach to support student academic performance assessment systems in higher education.

In the rapidly evolving digital economy, the ability to anticipate transaction surges is a strategic asset for marketplace platforms to maintain operational efficiency. This research aims to build an accurate daily transaction volume forecasting system thru the implementation of an Extract, Transform, and Load (ETL) pipeline and Autoregressive Integrated Moving Average (ARIMA) predictive modeling. The dataset used is sourced from dataset_olshop.csv, which includes transaction history for the entire year of 2025. The ETL stage focused on data cleaning and handling missing values, while time series analysis began with the Augmented Dickey-Fuller (ADF) stationarity test, which yielded a significant p-value of 0.000006. The parameter model was optimized using the auto_arima algorithm, which determined the ARIMA(2,0,0) configuration as the best model. The evaluation results of the model show fairly stable performance with a Root Mean Squared Error (RMSE) value of 2.002 and a Mean Absolute Error (MAE) of 1.704 on the test data. Research findings reveal a consistently higher purchasing pattern during the mid-month and end-of-month periods, with an average of 5.52 daily transactions, compared to the beginning of the month, which saw 5.48 transactions. The 30-day forecast results provide valuable insights for online store managers to proactively adjust inventory and logistics workforce allocation strategies. This research concludes that integrating data engineering techniques and statistical analysis can provide predictive solutions for the dynamics of the digital market.

The study titled “Designing a Web-Based E-Module for Empowering Tenth-Grade Students’ Writing Skills in Descriptive Text” aims to develop a digital learning medium to improve students’ descriptive writing abilities. The research applies a Design and Development (D&D) approach using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation, supported by a descriptive quantitative method. The study addresses limitations of traditional, teacher-centered instruction that relies heavily on printed materials by integrating technology into the learning process. The research begins with an analysis of existing teaching practices and learning resources for descriptive text writing. Based on this analysis, a web-based e-module is designed to provide a more interactive and engaging learning experience. The module includes structured materials such as definitions, purposes, text structures, language features, examples, and practice exercises. The e-module is then implemented in a tenth-grade classroom setting, followed by an evaluation of its effectiveness using quantitative data. The results indicate that the web-based e-module effectively improves students’ descriptive writing skills. Interactive features, including multimedia content, self-paced activities, and immediate feedback, enhance students’ motivation and active participation. Teachers and students report positive perceptions regarding the practicality, accessibility, and usefulness of the e-module. Pre-test and post-test results also show a clear improvement in students’ writing performance. Overall, the study concludes that web-based e-modules are a promising instructional medium for enhancing writing skills and supporting student-centered, technology-integrated English language learning.

Stock price prediction remains a complex challenge due to the dynamic and non-linear nature of financial markets, especially for banking stocks like PT Bank Negara Indonesia (Persero) Tbk (BBNI). This study aims to optimize BBNI stock price forecasting by integrating an automated Extract, Transform, Load (ETL) pipeline with the Long Short-Term Memory (LSTM) algorithm within a data engineering framework. Historical data from 2019 to 2025 were processed through a structured ETL sequence—including data cleaning, feature engineering, and MinMaxScaler normalization—to ensure high data quality. The dataset was partitioned into 80% for model training and 20% for testing to ensure rigorous evaluation. The results demonstrate that the systematic ETL approach significantly enhances model stability and predictive accuracy compared to conventional methods. The LSTM model effectively captured long-term temporal dependencies, providing reliable trend forecasts with an impressive test accuracy, achieving a Root Mean Squared Error (RMSE) of 0.0354. This research underscores that integrating robust data engineering practices with deep learning is essential for building resilient financial decision-support systems.

This study aims to analyze the effect of price and product quality on purchasing decisions of Gudang Garam Signature Kretek cigarettes in the premium machine-made kretek segment. The Indonesian tobacco industry continues to face sustained regulatory pressure through excise tax increases and intensifying brand competition, prompting consumers to reassess purchasing decisions using both rational evaluation and experiential judgment. A quantitative correlational approach was employed in this study. Primary data were collected through structured Likert-scale questionnaires distributed to 100 active consumers of Gudang Garam Signature Kretek selected using purposive sampling techniques. Data analysis was conducted through validity testing, reliability testing, and multiple linear regression analysis using SPSS software. The results indicate that price and product quality have a positive and significant influence on purchasing decisions, both partially and simultaneously. Product quality emerged as the most dominant factor, suggesting that premium cigarette consumers prioritize consistent quality, taste, aroma, and overall consumption experience as the primary basis for decision-making. Meanwhile, price remains an important rational reference for assessing the fairness between perceived benefits and financial sacrifice. Simultaneously, both variables explain 50 percent of the variation in purchasing decisions, while the remaining variance is influenced by other factors outside the research model. These findings highlight that purchasing decisions in the premium cigarette market are shaped by a value-based assessment, where sustained product quality and adaptive pricing strategies play a critical role in maintaining consumer loyalty amid regulatory pressure and evolving market dynamics

This article aims to analyze the role of human resource management in improving organizational performance and formulate strategic recommendations based on improvements in human resource management practices. The theoretical foundations used include strategic human resource management theory, organizational performance theory, and work motivation theory, which are used to examine the functions of workforce planning, competency development, performance appraisal, and reward systems. This study employed a qualitative, descriptive-analytical approach, with data collection techniques including in-depth interviews, non-participant observation, and documentation studies. Data analysis was conducted using an interactive qualitative analysis model that encompasses data reduction, data presentation, and conclusion drawing. The analysis results indicate that workforce planning based on organizational needs, continuous competency development, an objective performance appraisal system, and a performance-based reward system are directly related to increased effectiveness, productivity, and stability of organizational performance. Furthermore, efforts to improve human resource management practices through policy evaluation, strengthening strategic planning, enhancing internal communication, and data-driven decision-making have proven to be a strong foundation for formulating strategic recommendations for the organization. The study's conclusions confirm that the systematic and strategic integration of human resource management functions is a key factor in achieving sustainable organizational performance and adapting to changes in the work environment.

Soursop leaves (Annona muricata L.) are known to contain secondary metabolites such as alkaloids, flavonoids, tannins, saponins, and polyphenols, which have antibacterial potential. This study aimed to formulate soursop leaf extract into a gel dosage form and to evaluate its antibacterial activity against Pseudomonas aeruginosa. This research was conducted as an experimental laboratory study. Soursop leaf extract was obtained using the maceration method with 96% ethanol as the solvent and then formulated into gel preparations with extract concentrations of 5%, 10%, and 15%. Physical evaluation of the gel preparations included organoleptic test, homogeneity, pH, spreadability, and viscosity. Antibacterial activity was evaluated using the well diffusion method on Nutrient Agar medium. The results showed that all gel formulations met the physical requirements for topical preparations. The antibacterial activity test demonstrated that the soursop leaf extract gel inhibited the growth of Pseudomonas aeruginosa, with the 15% concentration producing the largest inhibition zone of 10 mm compared to other concentrations. In conclusion, soursop leaf extract gel has potential to be developed as a topical antibacterial agent against Pseudomonas aeruginosa.

This study aims to analyze the strategic management of disaster services in handling flood-affected communities in Surabaya City. This study uses a qualitative descriptive approach with an analytical framework of strategic management theory according to Wheelen and Hunger (2008), which includes four main stages: environmental observation, strategy formulation, strategy implementation, and evaluation and control. Data were obtained through documentation studies, field observations, and secondary data searches from official reports from the Regional Disaster Management Agency (BPBD), the Central Statistics Agency (BPS), and relevant online sources. The results show that the BPBD of East Java Province has implemented a systematic strategic management cycle in disaster services. During the environmental observation stage, the BPBD was able to identify the main threat in the form of the dominance of hydrometeorological disasters, particularly floods. During the strategy formulation stage, the BPBD established a mission, objectives, and strategic policies focused on disaster risk reduction, increasing community preparedness, and strengthening cross-sectoral coordination. Strategy implementation is realized through mitigation, preparedness, and emergency response programs, as well as the utilization of early warning systems and command centers. Meanwhile, evaluation and control are carried out continuously through monitoring disaster events and adjusting policies based on actual conditions in the field. The flood-affected community management strategy demonstrates a responsive and collaborative approach, despite still facing structural challenges such as tidal flooding and limited drainage infrastructure. This study concludes that implementing strategic management based on the theory of Wheelen and Hunger (2008) can improve the effectiveness of disaster services, but requires strengthening long-term mitigation and community empowerment.

Arrhythmias are generally classified into two groups: disorders of impulse formation and disorders of impulse conduction. Cardiac arrhythmias can also be categorized into three main types: supraventricular arrhythmias, ventricular arrhythmias, and bradyarrhythmias. One of the most commonly encountered arrhythmias in clinical practice is Atrial fibrillation. This study employed a case study method using a nursing process approach. The subjects consisted of two patients: Mrs. S, a 74-year-old female, and Mr. R, a 44-year-old male. The nursing intervention administered was antiarrhythmic therapy using intravenous digoxin. Evaluation was conducted by monitoring the patients’ heart rate and cardiac rhythm using an electrocardiogram (ECG) monitor. The results of the case studies in both patients showed that digoxin therapy produced a positive therapeutic response, as evidenced by a gradual reduction in heart rate. However, ECG monitoring revealed no significant changes in cardiac rhythm. These findings suggest that digoxin is effective for rate control, although it does not restore sinus rhythm.

The objective of this study is to formulate new propositions on school management based on the findings obtained from the two schools under investigation, namely: (1) school planning in improving teacher performance at State Islamic Senior High School 1 Trenggalek and State Senior High School 1 Trenggalek; (2) the implementation of school management in improving teacher performance at State Islamic Senior High School 1 Trenggalek and State Senior High School 1 Trenggalek; and (3) school supervision in improving teacher performance at State Islamic Senior High School 1 Trenggalek and State Senior High School 1 Trenggalek. This research employed a case study approach with a qualitative research design. The researcher’s presence in the schools served as the primary instrument, supported by non-human instruments as complementary tools. Data sources consisted of primary data in the form of words and actions observed from principals, vice principals, teachers, and administrative staff, as well as secondary data in the form of school documents. Data collection techniques included in-depth interviews, participant observation, and documentation. Data analysis was conducted using the Miles, Huberman, and Saldaña model, which comprises data condensation, data display, and conclusion drawing. The data analysis techniques applied were (1) single-case analysis conducted separately in each school and (2) cross-case analysis conducted by comparing and synthesizing data across cases. The research findings indicate that: (1) school planning to improve teacher performance carried out by principals included (a) adherence to the school’s vision, mission, and objectives; (b) consideration of the results of the School Self-Evaluation (EDS) through SWOT analysis to enhance teacher performance; and (c) the formulation of school activity plans collaboratively with the school committee; (2) the implementation of school management to improve teacher performance by principals involved (a) mobilizing and motivating all members of the school community and utilizing all available school resources; (b) controlling and supervising the implementation of school activities; (c) securing support for school activities from parents/guardians, the school committee, and the community; (d) fulfilling teachers’ needs; (e) proportional distribution of tasks and clear job descriptions aligned with teachers’ competencies; (f) enhancement of teacher competencies; and (g) fostering a culture of mutual cooperation, care, and respect among school members to improve teacher performance.

This study aims to analyze the collective kiai leadership policies in enhancing the quality of madrasah education at Bahrul Ulum Islamic Boarding School, Tambakberas, Jombang. Using a qualitative research method with a phenomenological approach, the study collects data through in-depth interviews, structured observation, and documentation. The data analysis process involves three stages: data condensation, data display, and conclusion drawing. The study reveals that the formulation of collective leadership policies is based on the need to achieve religious goals, legal foundations, and community needs. These policies are oriented toward problem-solving and continuity, formulated through deliberation and consensus involving all kiai leaders of both formal and non-formal educational institutions within the pesantren. The implementation of these policies emphasizes scholarly sanad and intellectual tradition across all educational institutions. Key aspects include educational administration, human resource development, strengthening formal education based on national accreditation standards, providing entrepreneurship education, and participating in faith-based as well as science and technology competitions at national and international levels. The evaluation of these policies is carried out collectively by all caretakers and leaders in alignment with established policies to ensure quality improvement across the pesantren’s formal and non-formal educational institutions.

The prevalence of diabetic ulcers in Indonesia reaches 12-15% of all sufferers. This condition has an impact on the patient's psychological condition in the form of anxiety due to wounds that are difficult to heal, changes in body image, and concerns about the possibility of amputation. One of the nonpharmacological interventions that can help overcome anxiety is the slow deep breathing technique. The purpose of writing this scientific paper is to carry out Nursing Care for Mrs. M with Diagnosis of Diabetic Ulcers using the application of slow deep breathing intervention in reducing anxiety at Az-Zahra Hospital. The writing method is a nursing care process that includes the stages of study, nursing diagnosis, planning, implementation, and evaluation. The subject of care was Mrs. M, a patient with diabetic ulcers in the inpatient room of Az-Zahra Hospital. Data collection was carried out through interviews, observations, documentation studies, and physical examinations, and using a medical-surgical nursing care assessment format. The ethical principles applied use the principles of Nursing Ethics. The results of nursing care showed that after three days of slow deep breathing intervention, patients reported feeling calmer, sleeping better, and anxiety levels decreased from moderate to mild based on observation results and anxiety scales used. This suggests that slow deep breathing interventions are effective in helping to reduce anxiety in patients with diabetic ulcers. It is hoped that patients and families can continue these breathing exercises independently as part of stress management efforts and quality of life improvement.  

Breast cancer represents a significant public health challenge in Indonesia, accounting for the highest incidence with 68,858 new cases annually (16.6%). This study aimed to evaluate the therapeutic potential of bioactive compounds derived from Zingiber officinale (ginger) as anticancer agents, specifically against estrogen receptor-positive (ER+) breast cancer through the inhibition of estrogen receptor alpha (ERα). Utilizing molecular docking simulations, six active ginger compounds were assessed against the 3ERT receptor. Dihydrocurcumin and tetrahydrocurcumin were identified as the most promising candidates, exhibiting superior binding affinities of -8.091 kcal/mol and -7.565 kcal/mol, respectively, indicative of stable ligand-receptor interactions. A complementary in silico pharmacokinetic evaluation using pkCSM for zingerone, dihydrocurcumin, and tetrahydrocurcumin revealed favorable ADMET profiles, characterized by good intestinal absorption, adequate tissue distribution, low toxicity, and non-mutagenicity. Collectively, these findings underscore the significant potential of these ginger-derived compounds as promising lead candidates for the development of natural product-based breast cancer therapies

Occupational Safety and Health (OSH) is a fundamental competence required by vocational school students before entering workplace practice, particularly due to their high exposure to practical activities involving tools, machines, and work procedures with potential risks. This community service activity aimed to provide OSH training for students of SMK Negeri 3 Ogan Komering Ulu as part of their preparation for workplace practice. The activity was conducted using a seminar and case study approach involving 40 vocational students. The implementation stages included preliminary needs analysis, training delivery through structured material sessions and interactive discussions, and post-training evaluation using participant feedback instruments. The training materials covered formal OSH regulations, basic OSH principles, risk mitigation, personal protective equipment, and the relevance of OSH competencies in industrial work environments. The results indicated that participants demonstrated improved understanding of OSH obligations, awareness of workplace risk prevention, and readiness to apply OSH principles during practical learning activities. This community service activity contributes to strengthening students’ preparedness for workplace practice by fostering early awareness of occupational safety culture within the vocational education context.

This outreach program aims to improve students' understanding of organizational management as part of an effort to develop a young generation with organizational insight at SMA Negeri 1 Ampel. The implementation of this outreach program is motivated by the importance of providing students with management concepts, organizational structures, and self-management skills so they can participate actively and effectively in various school organizational activities. The outreach program is delivered through material presentations and the use of interactive media in the form of Kahoot games designed to facilitate students' understanding of management concepts in a more engaging, enjoyable, and easily applicable way. Evaluation is conducted using a questionnaire covering five aspects: understanding of management concepts, awareness of the importance of management in life, effectiveness of interactive media, motivation to become leaders, and the ability to organize and plan for the future. The evaluation results show that this outreach program is able to broaden students' horizons, increase leadership motivation, and help them focus more on designing future goals. Thus, this outreach program is considered effective in supporting the development of a young generation with organizational insight in a sustainable manner.

This community service activity aims to enhance participants' digital competency through responsive web design training conducted using integrated webinar and workshop methods. The background of this activity is based on the increasing need for adaptive web development skills across various devices to support digital personal branding. This activity involves university students and the general public and is conducted online utilizing modern communication platforms. The implementation method consists of preparation, implementation, and evaluation stages. In the implementation stage, participants attend webinar sessions to strengthen conceptual understanding of responsive web design principles, followed by workshop sessions that emphasize hands-on practice in website creation using HTML, CSS, and JavaScript. Evaluation is conducted through pre-tests and post-tests to measure program effectiveness. The results show a significant increase in participants' digital competency with an average score increase of 55.8%. These findings indicate that the integration of webinar and workshop methods is effective in improving participants' conceptual understanding and technical skills. This activity is expected to serve as a model for community service based on applicable and sustainable digital competency development.

The training on computer network cabling conducted in schools serves not only to enhance students’ technical competencies but also functions as a strategic medium for developing collaborative attitudes, technological independence, and religious social harmony. Based on the community service activities carried out at SMA Negeri 3 Kota Sorong, the training integrated LAN cabling practice, the introduction of network devices, and guided sessions through observation, socialization, practicum, and evaluation. Throughout these stages, students gained direct experience in crimping, attaching RJ-45 connectors, testing cables with LAN testers, and simulating network configurations, which collectively strengthened their technical mastery. From the perspective of the sociology of religion, the training created a shared learning environment where students of diverse religious backgrounds collaborated equally in completing collective technical tasks. Values such as mutual respect, cooperation across differences, and social solidarity were visibly demonstrated as students helped one another in solving cabling-related challenges. Evaluation results indicate that participants became more independent in completing technical tasks and more open in communicating and interacting with peers of different beliefs. These findings emphasize that technology training can serve as a constructive medium for fostering religious social harmony and character building through practical experiences and meaningful social interaction.