This article is a literature review that systematically examines leadership strategies and managerial innovation applied in type C hospitals, with the aim of identifying effective approaches in improving the quality of health services. Type C hospitals as medium-level health facilities have an important role in the referral service system, but often face challenges in the management and provision of quality services. Therefore, strengthening leadership and innovation aspects is crucial to answer the need for sustainable service reform. This study uses a systematic literature review method by analyzing national and international scientific publications published in the 2020–2025 time frame. The focus of the study was directed to the themes of transformational leadership, managerial innovation, and service quality of type C hospitals. The results of the study show that transformational leadership has a strategic role in shaping an innovative and collaborative organizational culture. This leadership style encourages changes in organizational behavior, increased motivation of health workers, and openness to digital transformation. Managerial innovations, especially in the form of digitizing services and strengthening health information systems, have been proven to improve operational efficiency, medical data accuracy, and patient satisfaction. The synergy between visionary leadership and planned managerial innovation creates an adaptive and quality-oriented healthcare ecosystem. However, the implementation of this strategy still faces obstacles in the form of resistance to change, limited resources, and low digital literacy among health workers. Therefore, managerial commitment, human resource capacity development, and consistent policy support are needed to ensure the sustainability of healthcare transformation in type C hospitals.

Breast cancer remains one of the leading causes of death among women worldwide, primarily due to late detection and diagnosis. Early and accurate prediction is essential to improve survival rates. Machine learning (ML) techniques have proven effective in supporting early diagnosis. This study aims to evaluate and compare the performance of three different approaches: traditional ML, ensemble ML, and deep learning (DL) for early prediction of breast cancer using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. The methodology includes data collection, preprocessing, and the design of predictive models. Traditional ML algorithms used include Logistic Regression (LR), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Naïve Bayes (NB), and Decision Tree (DT). Ensemble ML techniques comprise Random Forest (RF), XGBoost, and AdaBoost, while DL models include Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). The models were evaluated using precision, recall, F1-score, and accuracy. The results indicate that XGBoost achieved the highest accuracy (0.99), with strong recall (0.98) and F1-score (0.986), outperforming all other ensemble and traditional ML methods. CNN achieved 0.99 in all evaluation metrics, slightly outperforming RNN, which attained 0.98 accuracy and 0.985 F1-score. These findings confirm that ensemble ML techniques outperform traditional models, while CNN leads among DL models. Furthermore, the proposed models demonstrated superior prediction performance compared to existing studies, particularly in minimizing false negatives, which is critical for healthcare applications.

Pengabdian masyarakat ini dilakukan untuk meningkatkan pengetahuan lansia penderita diabetes mellitus tentang pengelolaan diet yang tepat melalui prinsip 3J (Tepat Jadwal, Tepat Jenis, Tepat Jumlah). Tujuan dari kegiatan ini adalah mengatasi masalah pola makan yang tidak seimbang dan kurangnya pemahaman tentang diet diabetes. Metode yang digunakan meliputi penyuluhan di Puskesmas Sidorejo Lor, Salatiga, yang dihadiri oleh 34 lansia. Hasil dari kegiatan ini menunjukkan bahwa 52,94% peserta memiliki pengetahuan baik tentang diet diabetes, sedangkan 52,94% peserta memiliki perilaku cukup dalam pengendalian makanan. Sebanyak 55% peserta telah melakukan olahraga secara rutin, meskipun masih ada yang kurang disiplin. Kegiatan ini diharapkan dapat membantu lansia dalam mengontrol kadar glukosa darah dan mendorong gaya hidup sehat secara berkelanjutan.

This study examines the effectiveness of using the local legend “The Origins of Kudus City” as a learning medium to improve reading skills in elementary school students. This legend was chosen for its three unique features: first, it contains the historical narrative of Sunan Kudus, rich in Islamic-Javanese acculturation values; second, it has strong geographical relevance to students’ daily lives in Kudus; third, it presents potential for character visualization and cultural settings that are engaging for early-age readers. The study aims to analyze the influence of local legends on students’ reading development. A Systematic Literature Review (SLR) was conducted by analyzing seven relevant articles sourced from academic databases such as Google Scholar, DOAJ, and Scopus. The inclusion criteria focused on reading skills, elementary school students, learning media, and the legend of Kudus City. The results indicate that illustrated storybooks based on local legends can significantly enhance reading comprehension, increase student motivation, and encourage active classroom participation. Additionally, this learning media enables the integration of local cultural values into the educational process, making learning more contextual and meaningful. Thus, illustrated storybooks based on the legend of “The Origins of Kudus City” are proven effective as an innovative learning tool that not only strengthens reading skills but also preserves local wisdom in elementary education.

Digital learning applications like HeyJapan are increasingly popular. User reviews on platforms such as Google Play Store contain valuable information on user perceptions and experiences. To process this information systematically, this study employs a Natural Language Processing (NLP) approach to analyze sentiment toward the HeyJapan application. Data was collected using web scraping techniques with Python and the google play scraper library, resulting in 1,000 latest user reviews. The analysis included data collection, preprocessing, sentiment labeling using TextBlob, visualization, modeling with Logistic Regression, and evaluation. After preprocessing, 923 valid reviews were classified into three sentiment categories based on polarity which are positive, neutral, and negative. Results showed 71.4% of reviews positive, 26.1% neutral, and 2.5% negative. Visualizations in pie charts and word clouds provided an overview of user perceptions. Modeling with TF-IDF and Logistic Regression achieved 88% accuracy with the highest f1-score in the positive sentiment category. Evaluation indicates the model is fairly reliable in classifying sentiments, especially for positive and neutral categories, though negative sentiment classification needs improvement. This study shows the NLP approach can evaluate user perceptions of educational applications based on reviews and serve as a basis for improving foreign language learning app quality.

Perkembangan teknologi informasi yang pesat telah mendorong kebutuhan akan platform pembuatan website yang profesional, terutama bagi bisnis, individu, maupun organisasi tanpa latar belakang teknis. Penelitian ini bertujuan untuk membangun sistem informasi jasa pembuatan website UpSite menggunakan metode prototyping, dengan integrasi fitur business intelligence. Metode ini dipilih karena bersifat iteratif dan memungkinkan penyesuaian sistem secara langsung berdasarkan umpan balik pelanggan. Kebaruan utama dari sistem ini adalah integrasi fitur Business Intelligence (BI) pada dashboard admin, yang menyajikan visualisasi data penjualan dan analisis layanan terlaris secara real-time untuk mendukung pengambilan keputusan. Proses pengembangan mencakup komunikasi kebutuhan, perencanaan awal, pemodelan sistem (use case diagram, activity diagram, dan class diagram), pembangunan prototipe, serta pengujian menggunakan metode black box dan User Acceptance Testing (UAT). Hasil pengujian menunjukkan bahwa seluruh fitur inti, termasuk BI, berjalan sesuai spesifikasi dan memperoleh respons sangat baik dari calon pelanggan. Dengan demikian, UpSite dinyatakan layak digunakan sebagai solusi layanan pembuatan website yang tidak hanya fungsional, tetapi juga inovatif dengan dukungan analitik berbasis data.
 
Kata Kunci - UpSite; Metode Prototyping; Pembuatan Website; Business Intelligence; Pengujian Black Box

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.

This research seeks to analyze the impact of audit committee features on the financial performance of healthcare entities listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023.  The analyzed parameters include audit committee size, independence of the audit committee, skill of the audit committee, and frequency of audit committee meetings.  Return on Assets (ROA) serves as a critical performance metric, with business size and the COVID-19 criteria accounted for.  This study utilizes a quantitative approach using panel data regression analysis on a sample chosen by purposive sampling methods.  This research is driven by notable variations in Return on Assets (ROA) throughout the healthcare industry and a financial reporting controversy concerning PT Indofarma Tbk.  The findings indicate a substantial and noteworthy impact of audit committee size and independence on financial performance.  In contrast, the experience of the audit committee and the frequency of meetings have no substantial influence.  These results highlight the need of harmonizing structural characteristics and efficient supervision within the audit committee for good corporate governance.  The research provides actionable insights for regulators and corporate management in enhancing the functions of audit committees.

Effective laboratory management is an important element in order to improve the quality of learning, especially in physics. This research is motivated by the need for a structured laboratory management system to ensure efficiency, safety, and sustainability of practicum activities. The purpose of this study was to examine the implementation of laboratory management at various levels of education as a real step in an effort to improve the quality of physics learning. The method used is descriptive qualitative, with data collection through literature study. The results showed that the implementation of laboratory management which includes aspects of planning, organizing, implementing, and evaluating has improved the quality of physics learning itself. Apart from the various supporting and inhibiting factors in it.

The development of digital technology encourages business entities to utilize e-commerce to expand their market. However, many have difficulty managing financial reports because the online sales system is not yet integrated. Ewilla Sewing, a convection business, still records finances manually and separately from online sales.  This study designs and implements an integrated e-commerce financial management accounting system to improve the accuracy, efficiency, and reliability of financial reports. The research method uses a descriptive qualitative approach with observation, interviews, and document analysis. The system was developed with a waterfall model. The results of the study show that the system is able to manage finances more efficiently, accelerate reporting, provide real-time data, support internal audits, and help make more appropriate decisions for Ewilla Sewing.