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This research was designed to explore the extent to which public beliefs influence the implementation of Digital traceability  systems in the halal industrial sector. The approach used was quantitative with a survey method, where questionnaires were distributed to 60 respondents who were consumers of halal products in Indonesia. Data were analyzed using simple linear regression via Microsoft Excel. Research findings indicate that public confidence has a positive and significant influence on the adoption of Digital traceability  systems, with a regression coefficient of 0.476 and a significance level of 0.000 (<0.05). In addition, the coefficient of determination (R Square) value of 0.219 indicates that public confidence contributes 21.9% to the implementation of the Digital traceability  system, while the rest is determined by other factors that were not researched. These findings confirm that public trust is an important element in encouraging acceptance of digital technology, especially in the halal industry which relies heavily on transparency and consumer confidence. Thus, implementing a Digital traceability  system that is supported by information openness and easy access to technology can be an effective strategy to strengthen consumer trust while expanding technology adoption.

This study aims to critically analyze bioethanol production from water hyacinth (Eichhornia crassipes) based on previous research findings and to develop a project-based learning design for SMA/SMK students. This study employs a qualitative approach using a literature review method by analyzing relevant scientific articles published in the last five years. Data were collected through documentation and analyzed using descriptive qualitative techniques, including data reduction, data display, and conclusion drawing. The findings indicate that bioethanol production efficiency is strongly influenced by pretreatment methods, fermentation conditions, and process control, with yields generally categorized as low to moderate. Previous studies also reveal that project-based learning significantly enhances students’ conceptual understanding and critical thinking skills. Based on the synthesis of these findings, this study proposes a structured project-based learning design that integrates bioethanol production as a contextual learning medium. The implications of this study emphasize the importance of aligning technical feasibility, educational objectives, and sustainability principles in developing science-based learning projects in secondary education.

The highly competitive healthcare industry in Cirebon poses a significant challenge for Klinik Utama X, especially as a non-BPJS facility. This condition requires a paradigm shift from a provider-centric marketing mix to a patient-centric approach to retain patient loyalty. This study aims to evaluate and formulate the marketing strategy of Klinik Utama X using a comparative 4P (Product, Price, Place, Promotion) and 4C (Customer Solution, Customer Cost, Convenience, Communication) approach based on SWOT analysis. This research used a qualitative descriptive design with purposive sampling, gathering primary and secondary data through in-depth interviews, observations, and document studies. The data were systematically evaluated using Internal Factor Evaluation (IFE) and External Factor Evaluation (EFE) matrices. The findings reveal that the clinic is strategically positioned in Quadrant I, with an IFAS score of 2.53 and an EFAS score of 2.60, indicating strong internal capabilities to seize external opportunities. The recommended aggressive growth strategy involves integrating psychiatric and aesthetic services, penetrating the Business-to-Business (B2B) market through corporate medical check-ups, accelerating digitalization via telemedicine and online queuing, and preparing for BPJS accreditation. The managerial implications suggest that the clinic must prioritize resolving internal human resources and strengthening financial record-keeping systems before investing heavily in medical assets, while actively expanding digital convenience and corporate partnerships to secure short-term financial stability.

The distribution of social assistance in Indonesia faces challenges such as inaccurate recipient data, overlapping programs, and limitations of traditional data management systems that lead to inaccurate targeting of aid. This study proposes a social assistance distribution optimization system using the Greedy algorithm that assesses recipient priorities based on economic conditions, number of family members, location, and urgency of needs with certain weights to produce objective rankings. This system is implemented in a JavaScript-based web application without external frameworks, making it lightweight and easily accessible. Simulations with 20 prospective recipients and a quota of 10 slots and validation with a dataset of 10,000 entries show that the Greedy algorithm produces identical results to Dynamic Programming but is much faster (669 times faster). In terms of complexity, this algorithm has O(n log n) time and O(n) space, and meets the requirements of the Greedy Choice Property and Optimal Substructure, making it a practical and efficient solution for managing large-scale social assistance distribution in Indonesia.

The exponential growth of digital music catalogs on streaming platforms such as Spotify has made personalized recommendation systems crucial for enhancing user experience. This study develops a hybrid music recommendation system that addresses both warm-user and cold-user scenarios by combining Alternating Least Squares (ALS) collaborative filtering with content-based filtering (CBF) augmented by a popularity component. The dataset consists of 8,549,544 user-track interactions and a master file of 1,204,025 tracks with ten audio features. After preprocessing, users were segmented into 14,880 warm users and 723 cold users based on a five-interaction threshold. The ALS model was trained on the user-item implicit feedback matrix and tuned through grid search over factors, alpha, and regularization. CBF was implemented using cosine similarity on normalized audio features, while popularity scores were applied for new users with insufficient history. Evaluation used Precision@10, Recall@10, and NDCG@10. The final ALS configuration achieved NDCG@10 of 0.1116, representing a 30% improvement over baseline, while the hybrid CBF improved NDCG@10 for cold users from 0.0070 to 0.0201. Findings indicate that adaptive routing among ALS, CBF, and popularity reliably handles different user states, providing a practical foundation for production-grade music recommendation systems.

This study aims to examine the application of an expository approach in the scriptwriting of the documentary film "Jejak Rasa," which highlights Southern Chinese cuisine in Bandung as a representation of cultural acculturation. The background of this research is based on the declining interest of the younger generation in traditional culinary arts due to the influence of globalization and social media trends. The methods used included literature research, field observations, and interviews with relevant sources, such as culinary entrepreneurs and museum officials. The results show that the expository approach is effective in conveying information systematically, factually, and easily understood through the use of voice-over narration as the main direction of the story. Furthermore, the use of an implied first-person perspective creates an emotional connection between the audience and the material presented. This documentary serves not only as an information medium but also as a means of education and preservation of Peranakan Chinese culinary culture. By combining visual elements, narrative, and interviews, this documentary comprehensively presents historical, social, and cultural values. Therefore, this work is expected to raise public awareness of the importance of preserving culinary cultural heritage amidst modern developments.

Transformasi digital dalam sistem transaksi ekonomi telah menggeser pola konsumsi masyarakat menuju penggunaan layanan finansial berbasis teknologi yang lebih instan, namun di sisi lain berpotensi memicu perilaku belanja yang tidak rasional. Fenomena ini tampak pada pesatnya adopsi fitur Buy Now Pay Later (BNPL) yang menawarkan fleksibilitas pembayaran tanpa agunan. Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan sistem pembayaran Shopee PayLater terhadap perilaku konsumtif mahasiswa STIE Yapis Dompu. Shopee PayLater merupakan inovasi layanan keuangan digital yang memberikan kemudahan transaksi dengan kalangan mahasiswa. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis penelitian asosiatif. Data diperoleh melalui kuesioner kepada 94 responden yang dipilih menggunakan teknik purposive sampling. Analisis data menggunakan regresi linear sederhana dengan bantuan SPSS. Hasil penelitian menunjukkan bahwa penggunaan Shopee PayLater berpengaruh positif dan signifikan terhadap perilaku konsumtif mahasiswa. Hal ini dibuktikan dengan nilai signifikansi 0,000 < 0,05 serta koefisien determinasi sebesar 55,2%, yang menunjukkan kontribusi variabel penggunaan Shopee PayLater terhadap konsumtif mahasiswa. Dapat disimpulkan bahwa semakin tinggi penggunaan Shopee PayLater, maka semakin tinggi pula perilaku konsumtif mahasiswa STIE Yapis Dompu.

Teachers’ managerial competence plays a crucial role in ensuring effective and relevant learning, particularly in vocational education. Teachers are required not only to master subject matter but also to plan, manage, and evaluate learning through well-structured and contextual learning tools. This Community Service activity aimed to strengthen teachers’ managerial competence through training on the development of learning tools using a deep learning approach at SMK Muhammadiyah 2 Tangerang Selatan. The implementation method included conceptual material delivery, practical training, and mentoring in designing learning tools. The deep learning approach was applied to encourage learning designs that emphasize deep understanding, critical and reflective thinking, and alignment with workplace demands. The results showed an improvement in teachers’ understanding and skills in developing more systematic, innovative, and adaptive learning tools aligned with 21st-century competencies. This activity contributed positively to strengthening teachers’ roles as learning managers and supporting the improvement of learning quality in vocational schools.

Etos kerja dan kewirausahaan ialah aspek penting dalam membangun kesejahteraan individu dan masyarakat, namun dalam praktiknya belum sepenuhnya berlandaskan nilai-nilai keislaman. Oleh karena itu, diperlukan pemahaman yang lebih mendalam mengenai konsep kerja dan kewirausahaan yang bersumber dari ajaran Islam. Artikel ini bertujuan untuk mengkaji konsep etos kerja dan kewirausahaan berdasarkan tafsir al-Qur’an dan hadits Nabi sebagai landasan moral dan spiritual dalam aktivitas ekonomi. Studi ini memakai metode kualitatif dengan pendekatan studi kepustakaan melalui penelaahan berbagai literatur berupa buku tafsir, kitab hadits, serta artikel jurnal ilmiah yang relevan dengan tema penelitian. Data yang diperoleh kemudian dianalisis secara deskriptif dan tematik untuk menemukan nilai-nilai utama yang terkandung dalam ajaran Islam terkait aktivitas kerja dan usaha. Hasil kajian memperlihatkan bahwa Islam menekankan nilai kerja keras, kejujuran, tanggung jawab, kemandirian, disiplin, serta orientasi keberkahan sebagai prinsip utama dalam bekerja dan berwirausaha. Kesimpulannya, etos kerja dan kewirausahaan dalam perspektif Islam tidak hanya berorientasi pada pencapaian materi, melainkan juga pada pembentukan akhlak mulia sekaligus kepatuhan kepada Allah sebagai tujuan utama kehidupan.

Herpes zoster is a skin infection caused by the reactivation of the varicella-zoster virus, characterized by unilateral skin lesions corresponding to dermatome distribution and complaints of pain or itching. This disease is more common in adults and the elderly, especially in individuals with reduced immunity due to stress or work overload. A case was reported of a 40-year-old woman who worked as a nurse and came to a primary health care facility complaining of itching and red spots on her right breast area that had spread to the surrounding area two weeks before the examination and had worsened in the last few days. Physical examination revealed unilateral red skin lesions in a dermatomal pattern without crossing the midline of the body, consistent with the early phase of herpes zoster. Management was comprehensive, including medication, patient education about the disease and skin care, prevention of complications, and family support. A holistic approach is necessary to improve the success of therapy and the patient's quality of life.

Regional economic development requires a comprehensive understanding of the structure, potential, and dynamics of economic sectors so that formulated policies can be targeted and sustainable. Bojonegoro Regency as one of the regions in East Java Province has unique economic characteristics with the dominance of certain sectors, so it is necessary to conduct an in-depth analysis of the economic sectors that play a role in driving regional growth. This study aims to identify basic and non-basic sectors, analyze the dynamics of changes in economic sectors, and assess the sectoral competitiveness of Bojonegoro Regency compared to East Java Province. This study uses a quantitative approach with secondary data in the form of Gross Regional Domestic Product at constant prices by business field obtained from the Central Statistics Agency. The analytical methods used include Location Quotient, Dynamic Location Quotient, and Shift Share. The results show that the mining and quarrying sector remains the sector with the most dominant relative advantage in the economic structure of Bojonegoro Regency. However, the analysis of dynamics and competitiveness indicates that several non-extractive sectors are starting to show faster development and growth potential. This finding suggests an opportunity for transformation of the regional economic structure towards a more diverse pattern. The implications of this research emphasize the importance of regional economic development strategies that do not only rely on traditional leading sectors, but also encourage the development of more sustainable potential sectors.

The Indonesian Civil Servants Cooperative (KPRI) plays an important role in enhancing member welfare and supporting the national economy. Nevertheless, increases in business volume and own capital do not necessarily translate into higher profitability, while the number of members an essential characteristic of cooperatives is also assumed to influence financial performance. This study aims to examine the effect of business volume and own capital on cooperative profitability, with the number of members acting as a mediating variable. A quantitative approach was employed using secondary data derived from the financial statements of KPRI in Bogor City during the 2020–2024 period. Purposive sampling was applied, resulting in 12 cooperatives with a total of 60 observations. Panel data regression analysis was conducted using EViews software, and mediation effects were tested using the Sobel test. The results indicate that business volume has a positive and significant effect on cooperative profitability, whereas own capital does not show a significant influence. The number of members has a negative and significant effect on profitability. Furthermore, the Sobel test confirms that the number of members does not mediate the relationship between business volume or own capital and cooperative profitability. These findings suggest that enhancing business activities and improving the quality of member participation are more critical for increasing cooperative profitability than merely expanding capital or membership size.

Viral hepatitis is a systemic disease that primarily affects the liver and is characterized by a necroinflammatory process that plays a significant role in clinical and laboratory manifestations. Chronic hepatitis is defined as liver inflammation lasting more than six months, with persistent elevations in aminotransferases and characteristic histological features, and carries a risk of progression to cirrhosis and hepatocellular carcinoma. Chronic hepatitis C virus infection occurs due to an ineffective host immune response to the virus, allowing the infection to persist. The innate immune system, particularly type I interferon, plays a key role in the initial defense mechanisms against viral replication. Various antiviral therapies, such as interferon, nucleoside analogs, and nucleotide analogs, are currently available, which have been shown to reduce viral load and inhibit disease progression. Appropriate therapy is expected to prevent long-term complications in patients with chronic hepatitis.

  This study examines the strategy of writing an expository narrative using a reflective approach in the production of the documentary film "2000 Untuk Parkir: Fenomena Juru Parkir Liar di Jatinangor" Using descriptive qualitative methods through participant observation, in-depth interviews, and data triangulation, this 15-minute film presents a three-act plot that integrates empirical facts (such as a daily income of Rp50,000 from a Rp2,000 per vehicle rate) with the filmmaker's critical reflections on the dynamics of the informal economy and urbanization in educational areas. Results of an effectiveness test on 20 student respondents showed an 85% comprehension rate and a 90% increase in critical awareness, demonstrating the superiority of this hybrid approach in building empathy without excessive subjectivity. The discussion confirms the strategy's contribution to the discourse of Indonesian documentary production, with implications for advocacy for inclusive parking policies.    

Decision-making under uncertainty is a major challenge in management, economics, and public policy, where outcomes cannot be accurately predicted due to limited information and environmental dynamics. This article conducts a systematic literature review of risk and probability approaches to decision-making under uncertainty, focusing on rational theory synthesis (such as expected utility theory, decision tree analysis, and Bayesian decision theory) and behavioral perspectives (prospect theory and heuristics). The review covers reputable literature from the last ten years to the present. The results show that the probabilistic approach provides a strong and adaptive rational framework, but has significant limitations due to cognitive biases such as loss aversion, overconfidence, and ambiguity aversion, which cause deviations from normative rationality. The integration of rational approaches with behavioral elements, through hybrid models, has proven to be more comprehensive and realistic for dealing with true uncertainty (Knightian uncertainty). These findings emphasize the need for a multidimensional decision-making paradigm in organizational and policy practices.

Penelitian ini bertujuan untuk menganalisis strategi pengelolaan arus kas dalam mendukung keberlanjutan usaha kue tradisional dengan mengambil studi kasus pada Toko Roti Ganjel Rel Ambarawa. Pengelolaan arus kas yang efektif merupakan faktor krusial dalam menjaga keberlangsungan usaha kecil dan menengah, khususnya pada industri makanan tradisional yang menghadapi tantangan fluktuasi permintaan musiman dan persaingan dengan produk modern. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan pendekatan studi kasus melalui observasi langsung, wawancara mendalam dengan pemilik usaha, serta analisis dokumen keuangan selama periode enam bulan. Hasil penelitian menunjukkan bahwa Toko Roti Ganjel Rel Ambarawa menerapkan beberapa strategi kunci dalam pengelolaan arus kas, meliputi sistem pencatatan keuangan harian yang terstruktur, pengelolaan persediaan berbasis permintaan historis, diversifikasi produk untuk menstabilkan pendapatan, serta penerapan kebijakan kredit yang ketat kepada pelanggan. Strategi-strategi tersebut terbukti efektif dalam menjaga likuiditas usaha dengan rasio kas rata-rata sebesar 1,8 dan periode perputaran kas selama 15 hari. Temuan penelitian ini memberikan kontribusi praktis bagi pelaku usaha kue tradisional dalam merancang sistem pengelolaan arus kas yang berkelanjutan serta kontribusi teoretis dalam pengembangan model manajemen keuangan untuk usaha mikro kecil dan menengah sektor kuliner tradisional.

The increasing number of Indonesian Migrant Workers (TKW) working abroad, particularly through programs organized by BP2MI, has become a significant concern in managing the labor export process. One of the challenges faced is the uncertainty of the number of TKW to be sent each year, which is influenced by various external and internal factors. Therefore, this study aims to apply artificial neural networks (ANN) with a backpropagation algorithm approach to predict the number of TKW that will be processed by BP2MI. This method was chosen due to its ability to recognize patterns and nonlinear relationships between variables that affect the decision-making process for TKW export. In this study, the data used includes factors such as the number of job seekers, government policies, and the condition of the international labor market. The artificial neural network with the backpropagation algorithm is used to train the model based on existing historical data, with the goal of generating accurate predictions regarding the number of TKW to be processed in the coming years. The results of the tests show that the developed model can provide fairly accurate predictions and can serve as a tool for BP2MI in planning and managing the export of TKW more effectively. With the application of this technology, it is expected that the decision-making process related to TKW export can become more efficient and well-predicted.

The increasing intensity of traffic object movement in urban areas has not been accompanied by adequate road infrastructure, resulting in traffic congestion, air pollution, and a higher risk of traffic accidents. One of the primary causes of accidents is traffic violations, particularly wrong-way driving behavior. This study develops a video-based automated traffic violation detection system using the YOLOv5 algorithm. A computer vision approach is employed to detect, classify traffic objects, and count wrong-way violations in real time. Due to limited access to real-world traffic violation footage, simulated traffic scenarios are used as testing data. The system is evaluated on four traffic object classes: motorcycles, cars, buses, and trucks. Experimental results demonstrate strong performance, achieving a precision of 90%, a recall of 92%, and an F1-score of 91%, while the traffic object counting accuracy reaches 89%. These findings indicate that the proposed system has significant potential to support traffic analysis and assist authorities in making more effective decisions to reduce congestion and traffic accidents.

Because it directly impacts revenue, customer loyalty, and long-term business sustainability, customer churn is a critical issue for the e-commerce industry. High churn rates indicate that a business is unable to retain existing customers, which means it is more expensive to acquire new customers. Therefore, a precise analytical approach is needed to identify customer behavior patterns that are likely to churn. Using machine learning methods, this study analyzes and predicts customer churn. For this study, the E-Commerce Customer Churn 2025 dataset, obtained from Kaggle, was used. This dataset consists of 10,000 customer data and contains fifteen variables covering transaction behavior, customer characteristics, and churn status. Data preprocessing, descriptive analysis, exploratory data analysis (EDA), and classification model development using Logistic Regression and Random Forest algorithms were part of the research project. Model evaluation was conducted using a Confusion Matrix and Receiver Operating Characteristic (ROC) Curve to evaluate the model's accuracy and ability to distinguish between churned and non-churned customers. The results showed that the Random Forest model performed better than Logistic Regression, with an ROC-AUC of 1.00. Furthermore, feature importance analysis revealed that the days_since_last_purchase variable was the most dominant factor in predicting customer churn. These findings are expected to help e-commerce companies design more effective, data-driven customer retention strategies.  

The transformation of Islamic Religious Education (PAI) learning in senior high schools has become an urgent necessity in response to the demands of modern education that emphasize humanistic and student-centered learning. This study aims to describe the implementation of a humanistic approach in PAI learning, analyze its impact on students’ development, and identify supporting and inhibiting factors in its classroom application. This research employed a qualitative approach with a case study design. Data were collected through classroom observations, in-depth interviews with PAI teachers, questionnaires distributed to students, and document analysis of lesson plans and instructional materials. The findings reveal that the implementation of dialogic, reflective, and experience-based learning strategies creates a more comfortable and engaging learning environment. Students feel more appreciated, gain opportunities to express their ideas, and demonstrate improvements in learning autonomy, self-confidence, and moral responsibility. In addition, teachers increasingly integrate cognitive, affective, and spiritual dimensions into instructional planning, making PAI learning more relevant to real-life contexts. These results indicate that the humanistic approach not only enriches the learning process but also contributes significantly to the comprehensive and sustainable development of students’ character.