Pendampingan penyusunan laporan keuangan sederhana pada UMKM Karereus bertujuan untuk meningkatkan kemampuan pemilik UMKM dalam mengelola keuangan usaha. Melalui metode pelatihan yang terstruktur dan praktis, pendampingan intensif, serta evaluasi berkala, pemilik UMKM, berhasil memahami dan menerapkan konsep dasar akuntansi. Selama kegiatan, UMKM Karereus mampu menyusun laporan arus kas, neraca, dan laporan laba rugi secara konsisten setiap bulan. Penggunaan laporan keuangan ini membantu dalam pengambilan keputusan bisnis yang lebih baik. Faktor-faktor kunci keberhasilan meliputi pendekatan praktis dalam pelatihan, penyediaan alat yang tepat, serta komitmen tinggi dari pemilik UMKM. Meskipun terdapat tantangan keterbatasan waktu, penyesuaian jadwal pelatihan membantu mengatasi hambatan tersebut. Hasil pendampingan menunjukkan bahwa metode yang diterapkan efektif dalam membantu UMKM Karereus mengelola keuangan mereka dengan lebih baik, diharapkan memberikan dampak positif yang berkelanjutan bagi perkembangan usaha mereka.

Purpose: Breast cancer remains a significant cause of mortality among women, requiring accurate diagnostic methods. Traditional classification models often face accuracy challenges due to missing values and irrelevant features. This investigation advances the classification of breast cancer through the amalgamation of the C4.5 algorithm with K-Nearest Neighbor (KNN) imputation and Relief feature selection methodologies, thereby augmenting data integrity and enhancing classification efficacy.
Methods: The Wisconsin Breast Cancer Database (WBCD) was the core reference for evaluating the proposed methodology. KNN imputation addressed missing values, while Relief selected the most relevant features. The C4.5 algorithm executed training by utilizing data segregations in the corresponding proportions of 70:30, 80:20, and 90:10, with its efficiency gauged through a range of metrics, particularly accuracy, precision, recall, and F1-score.
Result: This innovative methodology achieved the highest classification accuracy of 98.57%, surpassing several existing models. Particularly noteworthy, the strategy being analyzed exhibited remarkable success relative to PSO-C4.5 (96.49%), EBL-RBFNN (98.40%), Gaussian Naïve Bayes (97.50%), and t-SNE (98.20%), demonstrating associated advancements of 2.08%, 0.17%, 1.07%, and 0.37%. These results confirm its effectiveness in handling missing values and selecting relevant features.
Novelty: Unlike prior studies that addressed missing values and feature selection separately, this research integrates both techniques, enhancing classification accuracy and computational efficiency. The findings suggest that this approach provides a reliable breast cancer diagnosis method. Future work could explore deep learning integration and validation on larger datasets to improve generalizability.

This study analyzes the relationship between intercultural communication competence and cultural empathy in Madura ethnic nomadic students. As a group that often faces challenges in cross-cultural communication, migrant students need to have high adaptability in order to interact effectively in diverse academic and social environments. This study aims to understand how the process of cross-cultural communication can shape the cultural empathy of Madura ethnic nomadic students, as well as how factors such as cross-cultural awareness, ease of perspective, feelings of empathy, and expressions of empathy contribute to their adaptation. This study uses a qualitative approach with an in-depth interview method of Madurese ethnic nomadic students spread across several provinces in Indonesia. The results of the study show that effective cross-cultural communication can help students in adjusting to a new environment, increasing comfort in interacting, and strengthening cultural empathy. Key factors contributing to this process include the ability to understand cultural differences, language skills, as well as a willingness to participate in the local culture.

This article discusses how Civic Education can be a solution in facing the challenges of globalization, by instilling the values of Pancasila, love for the homeland, social responsibility, and strengthening national identity. The methods used are literature studies and qualitative analysis of various relevant sources. The results show that globalization brings a great challenge to Indonesia's national identity, especially among the younger generation. The flow of information and foreign culture that enters without borders can weaken the spirit of nationalism and local values such as mutual cooperation and tolerance. In this context, Civic Education (PKn) has a strategic role in building a strong national character and integrity. Emphasis on the importance of integrating national values in civil society is very important in forming a young generation that is resilient, critical, and ready to contribute to the global world without losing their identity as Indonesian citizens.

The rapid advancement of information technology has had a significant impact in various fields, particularly in pattern recognition and image processing. One of the ongoing challenges is accurately recognizing handwritten digits, which plays a crucial role in document digitization, automated form reading, and other intelligent systems. This study aims to implement and evaluate the K-Nearest Neighbors (KNN) algorithm, a simple yet effective classification technique, in recognizing handwritten digit images. The data used comes from the public dataset load_digits from Scikit-learn, which contains 1,797 grayscale images of handwritten digits sized 8x8 pixels. Each image is represented as a 64-dimensional feature vector. The dataset is split into training and testing data with an 80:20 ratio, and the model is trained using KNN with k=3. The experimental results show a classification accuracy of 96.94%, with minimal prediction errors that typically occur in digits with similar visual shapes, such as 5 and 9. This study demonstrates that KNN, despite its simplicity, can provide high accuracy in handwritten digit recognition when supported by proper preprocessing and parameter selection. The implications of this research highlight the potential for developing intelligent applications in education, data entry automation, and identity verification.

This study's goal is to ascertain the connection between liquidity ratio (CR), asset management (TATO), capital structure (DAR) and firm size on financial performance, The  property & real estate firms that were listed between 2019 and 2023 on the Indonesia Stock Exchange (IDX). The study's sample, which was 52 companies in a period of (5) periods with a total of 260 data. The multiple regression analysis is used in this study method with the type of panel data with the Random Effect Model (REM) method. According to the study's findings that asset management has a favorably and significantly effect on financial performance, capital structure has a negatively and significantly effect on financial performance, but liquidity ratio and firm size have no effect on financial performance.

The majority of people in Balongsari Village, Megaluh District, Jombang Regency work as farmers. The rice harvest every harvest period produces very abundant agricultural waste. One of these agricultural wastes is rice husks. A common habit of farmers in this area is burning rice husks. This has an impact on environmental pollution, which comes from the smoke from burning rice husks. The purpose of this activity is to provide a solution for managing rice husk waste so that it is more useful. Proper processing of agricultural waste, namely rice husks, will produce various processed products, namely alternative fuel sources to replace kerosene or LPG gas or firewood. The objects of community service activities are youth of Karang Taruna and farmer groups. The results of this service activity are (1) Obtaining alternatives to replace fuel oil, (2) Reducing rice husk waste, (3) Providing added value to rice husks so that they become more useful. During the activity, participants were very enthusiastic about participating in the event from beginning to end, as evidenced by the results of the questionnaire after the activity, namely 90% of participants were very enthusiastic.

Penelitian ini bertujuan untuk mengevaluasi penerapan Sistem Informasi Manajemen Rumah Sakit (SIMRS) di Klinik Utama Amanah Medika menggunakan pendekatan Technology Acceptance Model (TAM). Penelitian ini mengidentifikasi faktor-faktor yang mempengaruhi penerimaan pengguna terhadap SIMRS, termasuk persepsi kemudahan penggunaan, persepsi kemanfaatan, sikap terhadap penggunaan, niat untuk menggunakan, dan penerimaan sistem yang sebenarnya. Data dikumpulkan melalui kuisioner yang disebarkan kepada 25 responden, yang terdiri dari tenaga medis, administrator, dan staf lainnya. Hasil penelitian menunjukkan bahwa mayoritas responden merasa SIMRS mudah digunakan dan memberikan manfaat signifikan dalam meningkatkan efisiensi dan akurasi pelayanan. Variabel persepsi kemudahan penggunaan dan kemanfaatan sistem menjadi faktor utama yang mempengaruhi sikap dan niat perilaku pengguna. Namun, beberapa masalah teknis seperti keterbatasan perangkat keras dan gangguan jaringan masih perlu diperbaiki. Secara keseluruhan, SIMRS diterima dengan baik oleh pengguna di Klinik Utama Amanah Medika, meskipun pengembangan lebih lanjut dalam infrastruktur dan pelatihan diperlukan untuk optimalisasi penggunaan sistem.

The purpose of this research is to determine and analyze the influence of the current ratio, debt to asset ratio, and return on asset both partially and simultaneously on profit changes in pharmaceutical companies listed on the Indonesia Stock Exchange for the period 2018-2023. This research is of a descriptive quantitative type, using purposive sampling method for data collection. The data used are secondary data taken from the financial statements of pharmaceutical companies listed on the Indonesia Stock Exchange for the period 2018-2023. The results of this study indicate that the coefficient of determination (R2) value is 0.762, which shows that the contribution of the current ratio, debt to asset ratio, and return on asset variables to profit changes is 76.2%. Meanwhile, the remaining 23.8% is influenced by other factors not included in this study. The results of the hypothesis test show that the current ratio partially does not affect profit changes. Meanwhile, the debt to asset ratio and return on asset partially affect profit changes. Simultaneously, the current ratio, debt to asset ratio, and return on asset affect profit changes in pharmaceutical companies listed on the Indonesia Stock Exchange for the period 2018-2023.

This study aims to analyze the influence of price and product quality variables on the demand for Kerupuk Opak at UD. Karya Bersama. This research is a quantitative study utilizing primary data collected through questionnaires distributed to 30 customers, using a saturated sampling technique. Data collection methods include questionnaires and literature studies. Instrument testing consists of validity and reliability tests, while classical assumption tests include normality, heteroscedasticity, and multicollinearity tests. Data were analyzed using multiple linear regression with the help of SPSS version 26. The results show that the price variable does not have a significant effect on product demand (tvalue = -0.253 < ttable = 1.70329; significance > 0.05), whereas the product quality variable has a significant effect on product demand (tvalue = 5.391 > ttable = 1.70329; significance < 0.05). Simultaneously, price and product quality significantly influence product demand (Fvalue = 65.853 > Ftable = 3.35; significance = 0.000 < 0.05).