Effective financial management is a major challenge for micro, small and medium enterprises (MSMEs) in Cikarang, especially in the culinary sector such as Ayam Geprek Bungsu. The main problems faced by business owners are economic limitations and uncertain fluctuations in raw material prices, which have an impact on the stability of cash flow and business profits. This condition results in suboptimal financial management, because often business owners are unable to separate personal and business finances, as well as difficulties in long-term budget planning. This activity aims to analyze the financial management of Ayam Geprek Bungsu and identify strategic steps that can be taken to improve financial efficiency. The research method used is a case study through interviews and analysis of simple financial statements. The results of the analysis show that the lack of regular financial records and the absence of a structured financial management system are the main causes of financial inefficiency. In addition, dependence on a single supplier for raw materials led to vulnerability to price increases. As a solution, this report recommends the implementation of a simple yet regular financial recording system, financial management training for business owners, and diversification of raw material suppliers to minimize the impact of price fluctuations. With these measures, Ayam Geprek Bungsu is expected to improve financial stability, optimize cash flow management, and ultimately strengthen business sustainability amid dynamic economic challenges. The growth and role of MSMEs can still be improved not only because of their resilience in the face of various economic shocks, but also their ability to provide employment, and overcome poverty.

The postpartum period is a critical time for both the mother and newborn, where healthcare is essential to avoid the risk of mortality. This study aims to analyze the behavior of postpartum mothers and Acehnese families in postpartum care at the Beutong Health Center, Nagan Raya Regency in 2024. A quantitative research method with a descriptive design was used, and the sampling technique applied was total sampling, with a population of 40 postpartum mothers. Data collection was carried out through interviews using a questionnaire. The results showed that 77.8% of mothers and families were aware of the nutrition needed for postpartum mothers, 58.3% understood the process of uterine involution, and 100% of postpartum mothers knew daily activities to accelerate recovery. The family's supportive attitude towards postpartum care was evident in their dietary recommendations, such as providing vegetables (83.3%) and fish (80.5%), forbidding the mother from leaving the house (100%), and administering algae (88.9%). However, 30.6% of postpartum mothers did not consume vegetables regularly. These findings highlight the importance of improving family understanding and support in postpartum care to accelerate the recovery of mothers and babies. The implication of this research is expected to improve postpartum care programs at Beutong Health Center.

Background:
The development of a curriculum alignment management guide for Early Childhood Education (ECE) is essential to support curriculum adaptation in non-formal institutions such as Playgroups (KB) and Kindergartens (TK). In the context of curriculum changes, it is necessary to have a curriculum alignment model accompanied by effective management practices, ensuring that the adaptation process can be implemented systematically and effectively.
Research Urgency:
Curriculum changes at the ECE level require non-formal educational institutions, particularly KB and TK, to make curriculum adjustments. However, there is a lack of strategic and implementable management guides to support this process, especially for institutions that are unaccredited or minimally accredited. Thus, a valid and practical model guide is urgently needed.
Research Objectives:
This research aims to develop a curriculum alignment model for ECE equipped with a sound management guide, and to validate its feasibility for use by Heads of KB and TK in adapting the old curriculum to the new one.
Research Method:
The method employed is Research and Development (R&D) using the ADDIE model, which includes five stages: Analyze, Design, Development, Implementation, and Evaluation. Validation was conducted by two experts in the fields of language and curriculum management content to assess the strategic and implementative feasibility of the guide.
Research Findings:
The validation results showed a score of 4.4 for the language aspect and 4.0 for the management substance aspect, both categorized as very good. The trial implementation involving Heads of KB and TK in Tayu District, Pati Regency, resulted in an acceptance rate of 80.35%, which also falls into the very good category.
Research Conclusion:
The developed curriculum alignment model is feasible for use as a guide in aligning the PAUD curriculum. It provides strategic and implementative direction for carrying out curriculum adaptation within non-formal education institutions.
Research Novelty/Contribution:
This research introduces a new contribution in the form of a curriculum alignment management guide for ECE that is both strategic and implementable. It offers practical support for Heads of KB and TK, especially those with minimal or no accreditation, to manage curriculum changes in a more structured and effective manner.

This study aims to describe and analyze: How the Regional Government of Mahakam Ulu Regency Efforts in Empowering Small and Medium Enterprises and What is the socio-economic impact of the community from the empowerment of SMEs.  Data Collection Techniques include: Interviews, Observations, Documentation. The research informants were Kadin and staff of the Mahakam Ulu Regency Industry, Trade, and Cooperatives Office. The data analysis technique using interactive model analysis was developed by Miles et al., (2014), namely data condensation, data presentation, and conclusion drawn. The results of the study showed. The empowerment program carried out by the Mahakam Ulu Regency Industry, Trade, and Cooperatives Office includes: a. Identify the potential and community empowerment programs in the economic sector. This is done with the development and Human Resources (HR) of the SMEs themselves, b. Coaching for industrial management magazines and improving entrepreneurship and c.  Marketing development in an effort to increase market access through improving product quality and product marketing. Improving the quality of SME products accompanied by improving packaging quality, improving hygiene and product certification, and exhibiting small industries. Impact of SME empowerment carried out by the Mahakam Ulu Regency Industry, Trade, and Cooperatives Office: a. The productivity of MSME entrepreneurs shows optimal results. b. The impact of the empowerment of SMEs not only affects job opportunities in the surrounding community, but also has an impact on the income of the surrounding community.

Islamic boarding schools are a place to gain knowledge, not only religious and formal knowledge but also the students are taught various things, one example is learning to be aware of maintaining cleanliness. The background to this research is the results of observations that show that the girls' dormitory environment is less clean, resulting in health problems such as skin diseases and poor personal hygiene among students. This research aims to examine the effectiveness of the behavioral operant conditioning approach in forming clean and healthy living behavior (PHBS) in students at the Nashrus Sunnah Islamic Boarding School in Banjarejo Village, Madiun City. This research uses a qualitative method with a naturalistic approach, involving observation, interviews and documentation as data collection techniques, and data analysis is carried out inductively with triangulation of data sources for validity. The research results show that through the operant conditioning approach implemented by the health task force and academics, students show an increase in clean and healthy living behavior. Habits such as throwing rubbish in its place, maintaining personal hygiene, and cleaning the dormitory environment have become new habits that are implemented in a disciplined manner. This approach is also followed by giving rewards and punishments as a form of reinforcement to maintain the consistency of the new habit. In conclusion, the behavioral operant conditioning approach is effective in increasing PHBS in Islamic boarding school environments, showing significant changes in the behavior and motivation of students in maintaining cleanliness and health.

Monkeypox is a zoonotic disease caused by Orthopoxvirus, presenting clinical challenges due to its visual similarity to other dermatological conditions. Early and accurate detection is crucial to prevent further transmission, yet conventional diagnostic methods are often resource-intensive and time-consuming. This study proposes a deep learning-based classification model by integrating Xception and InceptionV3 using feature fusion to enhance performance in classifying Monkeypox skin lesions. Given the limited availability of annotated medical images, data augmentation was applied using Albumentation to improve model generalization. The proposed model was trained and evaluated on the Monkeypox Skin Lesion Dataset (MSLD), achieving 85.96% accuracy, 86.47% precision, 85.25% recall, 78.43% specificity, and an AUC score of 0.8931, outperforming existing methods. Notably, data augmentation significantly improved recall from 81.23% to 85.25%, demonstrating its effectiveness in enhancing sensitivity to positive cases. Ablation studies further validated that augmentation increased overall accuracy from 82.02% to 85.96%, emphasizing its role in improving model robustness. Comparative analysis with other models confirmed the superiority of our approach. This research enhances automated Monkeypox detection, offering a robust and efficient tool for low-resource clinical settings. The findings reinforce the potential of feature fusion and augmentation in improving deep learn-ing-based medical image classification, facilitating more reliable and accessible disease identification.

Human action recognition involves recognizing and classifying actions performed by humans. It has many applications, including sports, healthcare, and surveillance. Challenges such as a limited number of classes of activities and variations within inter and intra-class groups lead to high misclassification rates in some of the intelligent systems developed. Existing studies focused mainly on using public datasets with little focus on real-life action datasets, with limited research on HAR for military obstacle-crossing activities.  This paper focuses on recognizing human actions in an obstacle-crossing competition video sequence where multiple participants are performing different obstacle-crossing activities. This study proposes a feature descriptor approach that combines a Histogram of Oriented Gradient and Region Descriptors (HOGReG) for human action recognition in a military obstacle crossing competition. The dataset was captured during military trainees’ obstacle-crossing exercises at a military training institution to achieve this objective. Images were segmented into background and foreground using a Grabcut-based segmentation algorithm, and thereafter, features were extracted and used for classification. The features were extracted using a Histogram of Oriented Gradient (HOG) and region descriptors from segmented images. The extracted features are presented to a neural network classifier for classification and evaluation. The experimental results recorded 63.8%, 82.6%, and 86.4% recognition accuracies using the region descriptors HOG and HOGReG, respectively. The region descriptor gave a training time of 5.6048 seconds, while HOG and HOGReG reported 32.233 and 31.975 seconds, respectively. The outcome shows how effectively the suggested model performed.

This research aims to analyze GoPay user sentiments on the X social media platform (formerly known as Twitter) using the Naive Bayes Classifier algorithm. Sentiment analysis was conducted to understand user perceptions and satisfaction levels towards GoPay digital payment services based on their shared comments and reviews. Data was collected through a tweet crawling process containing the keyword "GoPay" within a specific period. The research stages included data preprocessing (case folding, tokenizing, filtering, and stemming), sentiment labeling (positive, negative), word weighting using TF-IDF, and classification using the Naive Bayes algorithm. The results showed that from a total of 1,431 analyzed tweets, 797 data contained positive sentiments, and 643 data contained negative sentiments. With a classification accuracy rate reaching 82.94%. The most frequently positively commented factors included ease of use and offered promotions, while the main complaints were related to technical issues and customer service. This research provides insights for GoPay developers to improve services according to user feedback.
 

This research have intenions to show and understand the legal principles of engagement in agreements when entering into agreements. know about the implementation of the principles of engagement, especially the principle of consensualism in realizing an engagement. The writing of this article applied through the normative legal research method where the author employs a legislative approach and a system of legal concept. The study results indicate that when making an agreement, several principles serve as the foundation of legal proceedings, guiding decisions and actions within the judicial system, as a legal basis this principle can provide an overview of the contract. Numerous guiding principles are available for reference and implementation in various contexts and situations. The principles of association include the principle of freedom of contract, the principle of good faith, the principle of pacta sunt servada, and the principle of consensualism. In implementing consensualism in a contract such as an online buying and selling agreement. Buying and selling online from the point of view of contract law in Indonesia uses Paragraph (1) of Article 18 of the Electronic Information and Transactions Law. There is also a lease agreement where the parties make an agreement. The legal basis for renting a house is explained in Government Regulation no. 44 of 1994, which guarantees legal protection for home owners or tenants. The regulation also explains that a rental agreement can be said to be valid if there is approval or permission from the owner of the dwelling. In accordance with the basic law of renting a house, there are 3 (three) clauses in the house rental agreement

This study aims to describe the self-esteem levels of students at Universitas Bhayangkara Jakarta Raya in facing their thesis. Self-esteem is an individual's evaluation of themselves, both positively and negatively, influencing how they tackle academic challenges, including thesis writing. This research employs a descriptive quantitative approach using a survey method, where data were collected through questionnaires distributed to students currently working on their theses. The findings indicate that most students have a moderate level of self-esteem, with a minority categorized as having high or low self-esteem. No significant differences in self-esteem levels were found based on gender. Factors such as social support from peers and academic advisors play a crucial role in enhancing students’ self-esteem during the thesis process. This research provides insights into the importance of self-esteem in academic success and its implications for developing academic support programs in higher education institutions.