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The development of technology in the digital era has significantly altered consumer behavior, particularly for Generation Z, who are known as digital natives. This group possesses unique characteristics, highly relying on social media to seek product information before making purchasing decisions. This study aims to analyze digital marketing management strategies through social media in enhancing brand engagement and loyalty among Generation Z consumers, as well as to identify the key determinants of its success. The research method employed is descriptive qualitative, utilizing literature review as the data collection technique across prior scientific sources. The analysis reveals that the implementation of digital marketing strategies based on visual content and short-form videos on platforms such as TikTok and Instagram is proven to be highly effective in capturing the audience's attention rapidly. In addition to content format, collaboration with highly credible influencers and the application of authentic, responsive two-way communication serve as the main pillars in building emotional proximity and trust among young consumers. Operationally, this strategy offers cost efficiency and a broader market reach. The conclusion of this study emphasizes that the optimal integration between management information systems and interactive, adaptive communication approaches toward digital trends is the main key to winning the market and sustaining the long-term loyalty of Generation Z.

This paper discusses the implementation of regional autonomy and its impact on Islamic education in Indonesia, focusing on the challenges and opportunities faced. Although educational decentralization is considered a strategic step to improve the quality of education, there are various obstacles that must be addressed, including the development of regional capacity, the availability of educational resources, and effective leadership. This study aims to explore how regional autonomy can provide flexibility in educational management while identifying issues arising from the lack of coordination between regional and central governments, especially in the management of Islamic educational institutions. The method used is a normative legal approach with descriptive analysis. The research findings indicate that despite efforts to enhance Islamic education, there remain significant gaps in funding, facilities, and educational quality compared to general education. The conclusion drawn is the need for more inclusive and responsive policy reforms to local diversity, as well as the importance of collaboration among government, society, and educational institutions to create a more equitable and quality education system.

The wave of digitalization triggers a severe morality crisis among the younger generation through constant exposure to negative content, cyberbullying, and global communication ethics degradation. This descriptive qualitative study aims to analyze the specific internalization of Christian values at GPIB Harapan Kasih Congregation Bekasi to shield youth morality amidst ongoing technological disruption. Employing intensive in-depth interviews and participatory observations, data were analyzed interactively through systemic reduction, structured display, and final verification. The results indicate that the digital morality crisis explicitly manifests as pornography normalization, virtual toxicity, and the severe erosion of academic honesty. In response, pastoral strategies utilizing highly contextualized digital ethics sermons and youth cell groups prove thoroughly effective. The deep internalization of self-control and integrity successfully stimulates a holistic self-censorship mechanism across the youth's cognitive, affective, and behavioral domains. This study concludes that consistent accountability-based mentorship effectively transforms Christian youth from passive digital victims into active agents of change within global cyberspace.

This study aims to analyze the implementation of quality control in the carbonated beverage filling process using an automated filler machine and to identify critical control points that influence product conformity and production efficiency. A descriptive quantitative approach was employed through production line observation, machine monitoring, and quality control documentation review. The study focused on the filling process of carbonated beverages packaged in 330 mL aluminum cans and the associated quality control activities throughout the production line. The findings show that the filling process is the key quality control stage, supported by the automated filler machine, Fill High Detector (FHD), seaming, temperature stabilization, and traceability systems to maintain product conformity. The study was limited to a descriptive evaluation of a single production line and did not include statistical process capability analysis or quantitative measurements of filling variation. Therefore, the findings primarily provide operational insights rather than statistical validation of process performance. The findings may assist beverage manufacturers in improving filling accuracy, strengthening inspection systems, and enhancing production reliability through effective quality control practices. This study provides a comprehensive overview of quality control implementation in an automated carbonated beverage filling system and highlights the integration of filling, inspection, and supporting production processes in maintaining product quality and operational efficiency.

This study aims to analyze the effect of the implementation of the Flipped Classroom model with a Deep Learning approach on the critical thinking and collaboration skills of Phase F XI students on the digestive system material. The study used a mixed methods with an embedded experimental design type. The research sample consisted of one experimental class that received Flipped Classroom learning with a Deep Learning approach and one control class that received Problem Based Learning (PBL) learning. Data on critical thinking skills were collected through essay tests, while collaboration skills were obtained through observation sheets. Quantitative data analysis used One-Way MANCOVA and qualitative analysis was carried out through data reduction, data presentation, and drawing conclusions assisted by NVivo. The results showed a simultaneous significant effect between the learning model on students' critical thinking and collaboration skills after controlling for initial abilities with a significance value of 0.002 (p<0.05). The average posttest critical thinking of the experimental group was 71.69 higher than the control group at 62.53. Meanwhile, the collaboration skills of both groups showed a relatively balanced increase. The ANCOVA results showed that the Flipped Classroom model with a Deep Learning approach significantly impacted critical thinking skills, but did not show a significant difference in collaboration skills. The research findings indicate that the integration of Flipped Classroom and Deep Learning is effective in improving students' critical thinking skills and supporting 21st-century learning.

This study examines human resource competence in improving financial management at the Public Service Agency of Gorontalo State University, a public higher education institution that operates under a flexible financial management model while remaining accountable for public funds. The main problem addressed is how financial management personnel translate regulatory knowledge, technical skills, and professional attitudes into efficient, effective, and accountable financial governance. This study aims to analyze the competence of financial management personnel and explain its contribution to strengthening institutional financial management. A qualitative descriptive approach was employed through interviews, observation, and document analysis involving bureau leaders, financial work team officials, treasurers, and financial managers across relevant work units. The findings show that knowledge competence is reflected in personnel understanding of regulations, policies, financial systems, budgeting procedures, reporting requirements, and the linkage between budget and institutional performance. Skills competence is demonstrated through financial administration, transaction recording, document verification, use of financial information systems, reconciliation, reporting, and preparation of accountability documents. Attitudinal competence appears in professionalism, compliance, integrity, prudence, responsibility, and openness to evaluation and audit. Financial management has been directed toward performance-based planning, expenditure control, budget realization monitoring, reporting, supervision, and audit follow-up. However, challenges remain in regulatory adaptation, system integration, data quality, document timeliness, account-code accuracy, inter-unit coordination, and consistency of audit follow-up. The study concludes that strengthening human resource competence is essential for improving financial management that is efficient, effective, accountable, and performance-oriented in public university financial governance.

This study aims to obtain a comprehensive understanding of the Juz ‘Amma memorization strategy implemented at Madrasah Diniyah Takmiliyah Baitul Azhar, evaluate its effectiveness, and examine the assessment mechanisms applied in Qur’anic learning. The research employed a qualitative field-study approach, focusing on learning activities as the primary object of investigation. Data were collected through direct observation of the learning process, in-depth interviews with the madrasah principal and teachers (ustadz/ustadzah), and documentation analysis related to the memorization program. The data were analyzed through data reduction, data presentation, and conclusion drawing to generate accurate and in-depth findings. The results indicate that the memorization program utilizes a combination of talaqqi, takrir (repetition), sima’i, and small halaqah methods. These strategies have proven effective in improving students’ memorization abilities, as reflected in increased reading fluency, better tajwid accuracy, and the achievement of memorization targets. In addition, the madrasah implements a structured and continuous evaluation system consisting of daily assessments, weekly reviews, and final examinations for each juz. The evaluation focuses on memorization fluency, recitation accuracy, and overall memorization quality. The study concludes that integrating diverse memorization methods with systematic evaluation significantly enhances the effectiveness of Qur’an memorization learning in Islamic educational institutions.  

Breast cancer remains a major global health challenge, with treatment effectiveness often limited by drug resistance and the toxic side effects of chemotherapy on normal cells. The exploration of bioactive compounds from natural sources through a medicinal chemistry approach offers a promising alternative strategy. This study aims to examine the molecular mechanisms of action and Structure-Activity Relationships (SAR) of various natural compound scaffolds as potential breast anticancer agents. The method employed was a systematic narrative literature review of 15 recent scientific articles evaluating computational parameters, including molecular docking, as well as in vitro and in vivo activities. The results indicate that polyphenols, flavonoids such as quercetin and EGCG, and curcumin possess strong cytotoxic activity and high binding affinity toward cancer-related target macromolecules. SAR analysis demonstrates that key structural features, including the number and position of free phenolic hydroxyl groups, the presence of gallate ester groups, and conjugated diketone systems, play a crucial role in determining ligand receptor complex stability. These interactions are supported by hydrogen bonding, hydrophobic interactions, and favorable steric compatibility within receptor binding sites. Computational findings further suggest that structural optimization can enhance ligand selectivity and improve pharmacokinetic properties. This study concludes that natural phytochemical scaffolds have significant potential as lead compounds and provide a rational basis for Computer-Aided Drug Design in developing more potent, selective, multi-target, and safer breast anticancer therapies.

Circulating tumor DNA (ctDNA) has emerged as a promising liquid biopsy biomarker for real-time monitoring of tumor dynamics. In urothelial carcinoma (UC), effective monitoring of treatment response remains a clinical challenge due to the limitations of conventional imaging and invasive procedures. This systematic review aims to synthesize the existing evidence on the association between ctDNA dynamics and treatment response monitoring across various stages and therapeutic settings. A comprehensive systematic review was conducted. We included cohort studies, randomized controlled trials, and meta-analyses that evaluated ctDNA in UC patients undergoing treatment. Data were extracted on patient population, methodology, treatment, sampling strategy, clinical outcomes, and statistical associations. The review encompassed 80 studies. Baseline ctDNA positivity was strongly prognostic, associated with a 4- to 6-fold increased risk of recurrence or death (HR 4.23-6.56). Dynamic ctDNA clearances or significants reduction during treatment, were strongly associated with improved outcomes. Showing hazard ratios for adverse events as low as 0.10-0.31. ctDNA demonstrated time advantages of 53-90 days over radiographic detection. ctDNA is a potent tool for monitoring treatment response in urothelial carcinoma. It provides superior prognostic and offers a significant lead time for detecting treatment failure. Future research must focus on standardizing methodologies and validating ctDNA-guided therapeutic.

Fractures are one of the most common musculoskeletal disorders caused by trauma, repetitive stress, or pathological factors. Supracondylar femur fracture is a type of femur fracture occurring at the distal 12 cm of the femur, and Open Reduction and Internal Fixation (ORIF) is the primary surgical intervention. Post-operative ORIF patients commonly experience impaired physical mobility and impaired skin integrity. This study aimed to provide comprehensive nursing care to a patient post-ORIF for right supracondylar femur fracture in the Mawar 2 Ward of RSUD dr. Soeselo, Tegal Regency. A descriptive method with a nursing process approach was used, employing interview, observation, documentation study, and literature study. Nursing assessments conducted on February 8, 2026 revealed that the patient (Ny. S, female, 68 years) experienced pain at the surgical site with a scale of 7, inability to move both lower extremities (muscle strength score 2), and a post-operative wound approximately 10 cm in length with redness and edema. Two nursing diagnoses were established: impaired physical mobility related to neuromuscular disorders and impaired structural bone integrity, and impaired skin/tissue integrity related to invasive procedure effects. Nursing interventions included mobilization support, pain management, wound care, and collaborative administration of medical therapy. After two days of nursing implementation, both diagnoses were partially resolved. Discharge planning focused on gradual mobilization, independent wound care, and high-protein and high-calorie diet to accelerate recovery.

Muscle-invasive bladder cancer (MIBC) is an aggressive malignancy associated with high morbidity, reduced survival, and impaired quality of life. Radiotherapy (RT) has been widely used as a bladder-preserving strategy, particularly for patients unsuitable for surgery or systemic chemotherapy. RT may also enhance tumor immunogenicity through programmed death-ligand 1 (PD-L1) upregulation, providing a rationale for combination therapy with immunotherapy. This study aimed to evaluate the effectiveness of combining immunotherapy and radiotherapy in MIBC treatment. A systematic review was conducted following PRISMA 2020 guidelines using the PICO framework. Literature searches were performed in PubMed, Embase, Cochrane, ClinicalTrials.gov, Web of Science, and Scopus databases for studies published between 2016 and 2025. Risk of bias was assessed using the Cochrane Risk of Bias Tool and ROBINS-I. Of 105 identified studies, five met the inclusion criteria and were included in the final analysis. Only one Phase II randomized controlled trial demonstrated low risk of bias in randomization and allocation concealment. ROBINS-I assessment indicated moderate to serious risk in confounding and participant selection domains. Clinical findings showed promising outcomes, with complete response rates ranging from 35%–50% and partial response rates from 25%–40%. Median overall survival ranged from 24–30 months, with favorable disease-free and progression-free survival outcomes. Combined immunotherapy and radiotherapy demonstrate potential to improve survival and disease control in MIBC; however, further rigorous clinical studies are needed to optimize patient-centered treatment strategies.  

The wave of digitalization triggers a severe morality crisis among the younger generation through constant exposure to negative content, cyberbullying, and global communication ethics degradation. This descriptive qualitative study aims to analyze the specific internalization of Christian values at GPIB Harapan Kasih Congregation Bekasi to shield youth morality amidst ongoing technological disruption. Employing intensive in-depth interviews and participatory observations, data were analyzed interactively through systemic reduction, structured display, and final verification. The results indicate that the digital morality crisis explicitly manifests as pornography normalization, virtual toxicity, and the severe erosion of academic honesty. In response, pastoral strategies utilizing highly contextualized digital ethics sermons and youth cell groups prove thoroughly effective. The deep internalization of self-control and integrity successfully stimulates a holistic self-censorship mechanism across the youth's cognitive, affective, and behavioral domains. This study concludes that consistent accountability-based mentorship effectively transforms Christian youth from passive digital victims into active agents of change within global cyberspace.

This study aims to explain the effectiveness of assessment in the learning process, focusing on improving student outcomes at SDN Larangan Tokol 1 Pamekasan. This research applies a qualitative methodology categorized as a descriptive study. Data collection was carried out through observation, interview sessions, and document analysis involving teachers and students at SDN Larangan Tokol 1 Pamekasan The findings of the study indicate that the implementation of learning process evaluation is conducted systematically and continuously through question and answer activities, daily assignments, group discussions, learning practice, daily tests, as well as the assessment of students’ attitudes and skills. Teachers use various strategies to improve the effectiveness of learning evaluation, such as the use of varied teaching methods, providing motivation, habituation of discipline, utilization of learning media, and the implementation of remedial and enrichment programs.Supporting factors for the effectiveness of learning evaluation include the support of the principal, teacher competence, parental support, and the availability of learning facilities. Meanwhile, the obstacles include differences in students’ learning abilities, lack of motivation among some students, and limited availability of certain learning media.The assessment of the learning process contributes effectively to improving students’ academic achievement, shaping discipline and responsibility character, as well as increasing students’ participation and collaboration in the ongoing learning process. Therefore, learning assessment plays a crucial role in creating an effective learning process and improving student achievement at SDN Larangan Tokol 1 Pamekasan.

This study aims to analyze in-depth cognitive learning theory and its implications for improving the effectiveness of Islamic Religious Education (PAI) teaching at the elementary school level. The adopted methodological approach is qualitative through library research, with the application of content analysis and theoretical synthesis techniques. Primary data sources were obtained from academic literature including textbooks, scientific journals, and the latest empirical research relevant within the last decade. The results of the analysis indicate that cognitive learning theory positions cognitive processes as the core of learning activities, allowing students to function as active agents in constructing knowledge through understanding, analysis, memory representation, and integration with pre-existing cognitive schemas. In the context of PAI, this approach enables meaningful learning through interactive pedagogical strategies such as collaborative discussions, problem-solving, case studies, and metacognitive reflection, which are empirically adapted to the stages of students' cognitive development. The implementation of cognitive theory significantly contributes to strengthening conceptual understanding, increasing learning engagement, developing critical thinking skills, transferring knowledge, and internalizing Islamic values. Thus, cognitive learning theory makes a substantial contribution to optimizing the effectiveness of PAI teaching in elementary schools through an interactive, systematic, and understanding-oriented approach.

In contemporary legal systems, social conflict between the state and indigenous communities is a complicated matter, especially when it comes to the acknowledgement and defense of indigenous peoples' rights to land, natural resources, and cultural identity. Indigenous peoples' rights, which before the establishment of the modern state, are frequently disregarded by imbalances in official policies that prioritize development interests. In this context, legal reconciliation is a relevant approach to resolving these conflicts in a just and sustainable manner. Legal reconciliation emphasizes the integration of customary law into the national legal system and the harmonization of state policies and the interests of indigenous peoples to create a more inclusive legal order. The study of legal standards relevant to resolving disputes between the state and indigenous peoples is the main emphasis of this research, which employs a normative juridical approach. The approach used in this research includes an analysis of national legislation, international legal instruments related to indigenous peoples' rights, and relevant legal doctrines. Using a statute approach and a conceptual approach, this research explores how legal reconciliation can be implemented in resolving social conflicts. Furthermore, this research highlights the role of legal principles such as restorative justice, legal pluralism, and recognition of indigenous peoples' rights in developing more effective conflict resolution mechanisms. This analysis is expected to establish a strong legal foundation for promoting more inclusive and socially just legal policies for indigenous peoples.

Congestive Heart Failure (CHF) is a condition in which the heart is unable to pump blood adequately to meet the metabolic needs of the body. CHF is one of the most prevalent cardiovascular disorders globally, nationally, and locally, contributing to significant morbidity and mortality. This study aims to describe a comprehensive nursing care process applied to a patient (Mr. R) diagnosed with CHF at the Mawar 1 Ward of RSUD dr. Soeselo, Tegal Regency. This study used a descriptive case study design. Data were collected through interviews, physical examination, observation, and medical record documentation on February 9–11, 2026. Three nursing diagnoses were identified: ineffective airway clearance related to airway hypersecretion, fatigue related to physiological conditions (chronic disease), and knowledge deficit related to insufficient information exposure. Nursing interventions applied included airway management (semi-Fowler positioning, oxygen therapy, effective coughing technique), energy management (range-of-motion exercise, gradual activity), and health education about CHF. After 2×24 hours of nursing care, all three nursing diagnoses were resolved: airway clearance improved (SpO₂ increased from 91% to 95%, respiratory rate decreased from 28 to 23 times/minute), fatigue decreased, and patient knowledge about CHF improved. Systematic nursing care significantly improved the patient's condition in CHF management.

This study aims to describe gazebo management strategies as tourism infrastructure to increase visitor attraction at Pasir Putih Parparean II Beach, Porsea Subdistrict, Toba Regency. The beach is a unique destination in the Lake Toba area, characterized by fine white sand that is rarely found in the region. However, visitor data from the Toba Regency Tourism Office reveals a significant decline, from 35,304 visitors in January–April 2023 to only 1,550 visitors in January–August 2025. This decline is closely linked to the unplanned construction of permanent gazebos on the beach area, which has reduced the open space that constitutes the beach’s main attraction. This study employed a descriptive qualitative method. Data were collected through in-depth observation, semi-structured interviews, and documentation. The key informants consisted of three beach managers: Herbert Napitupulu, Nora Pandiangan, and Her Hutasoit, selected purposively based on their direct involvement and in-depth knowledge. Two regular tourists were also included as additional informants. Data analysis followed the Miles and Huberman model, encompassing data reduction, data presentation, and conclusion drawing. The results indicate that gazebo management strategie including facility improvements, environmental landscaping, and the provision of supporting amenities contribute significantly to enhancing visitor comfort and tourism appeal. This study recommends more systematic and planned management, spatial restructuring of gazebo placement, and the implementation of effective promotional strategies to support Pasir Putih Parparean II Beach as a sustainable tourism destination.

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.

The thesis supervision process in higher education institutions is still frequently conducted manually, which may lead to inefficiencies in recording supervision data. This study focuses on the development and implementation of a web-based thesis supervision attendance application designed to facilitate attendance documentation, supervision session administration, and systematic monitoring of thesis supervision history. The methodology applied in this study is the Waterfall model, which includes the phases of requirements analysis, system design, implementation, and testing. The application was developed using the Laravel framework and a MySQL database. The system design was modeled using Unified Modeling Language (UML), while the validation process was conducted through Black Box Testing techniques. The research findings indicate that the developed application is capable of performing real-time supervision attendance recording, managing supervision information, and generating attendance reports effectively and efficiently. It can be concluded that the web-based thesis supervision attendance application improves the efficiency and accuracy of supervision record management and supports a more effective thesis supervision monitoring process..

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.