This study analyzes the implementation of the Holistic Integrative Early Childhood Education (PAUD) policy in Surabaya as a strategic step to improve the quality and equity of PAUD services through intersectoral collaboration. Recognizing the significance of integrating education, health, nutrition, and child protection services, this study aims to analyze implementation strategies, challenges, and local innovations in providing holistic services in PAUD institutions in urban areas. This study applies a qualitative descriptive approach, collecting data through policy document analysis, semi-structured interviews with PAUD administrators, teachers, local officials, and parent representatives, and direct observation at several PAUD institutions. The research findings indicate that policy implementation is carried out through structured socialization, the formation of intersectoral coordination teams, and the provision of additional services such as routine health checks and parenting classes. However, challenges remain, such as uneven facilities and infrastructure among PAUD institutions, differences in teachers' understanding of the holistic integrative concept, and a lack of practical collaboration between PAUD institutions and health or child protection agencies. The study also identified local innovations, such as the use of social media to communicate with parents, enriching teaching materials with local cultural insights, and collaborating with universities to support activities. These findings emphasize that successful policy implementation depends not only on national regulations but also on local leadership skills, stakeholder collaboration, and responsiveness to community needs. Therefore, the study recommends improving ongoing training for educators, providing an adaptive policy framework to support local innovation, and developing digital infrastructure to facilitate more efficient communication and coordination.

Religious education plays a crucial role in shaping students' character and instilling moral and spiritual values. This study aims to analyze the implementation of religious education policies in schools, focusing on the effectiveness of implementation, challenges faced by teachers and institutions, and its impact on students. The research employed a qualitative descriptive method with data collected through interviews, observations, and documentation. The findings indicate that although religious education policies are formally included in the curriculum, their implementation in practice still faces several obstacles, such as limited resources, lack of teacher training, and diverse religious backgrounds of students. Recommendations include improving teacher training, strengthening the curriculum, and adopting an inclusive approach that respects religious diversity.
 

This study aims to identify risk management processes and analyze management strategies that can be implemented by Pineapple Chips MSMEs in Kualu Nenas Village. The approach refers to the ISO 31000 framework, which includes risk identification, analysis, evaluation, and management. The results show that the most significant risks are in the high category, especially financial and operational risks, such as fluctuations in raw material prices, product damage due to improper storage, and limited human resources in marketing and production management. To minimize the impact of risks, a thorough analysis and appropriate mitigation strategies are required. The implementation of systematic risk management is considered capable of reducing potential losses, increasing business resilience, and strengthening the position of MSMEs in facing market dynamics. This approach is also crucial in maintaining business continuity, increasing consumer trust, and maintaining business reputation.
 

Di era digital saat ini, optimalisasi penggunaan teknologi pendidikan menjadi hal yang krusial untuk meningkatkan proses pembelajaran dan evaluasi hasil belajar. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kompetensi guru di SMP Negeri 11 Gorontalo melalui pelatihan teknis (BIMTEK) mengenai pemanfaatan media digital, Nearpod, Panquiz, dan Socrative, sebagai alat evaluasi pembelajaran. Ketiga media ini menyediakan fitur interaktif yang mendukung asesmen formatif, meningkatkan partisipasi siswa, dan mempermudah proses penilaian. Metode yang digunakan mencakup tiga tahapan utama: perencanaan, pelaksanaan, dan evaluasi. Selama kegiatan, guru mendapatkan pelatihan langsung, mempraktikkan penggunaan media, serta mengeksplorasi cara mengintegrasikannya dalam pembelajaran. Hasilnya menunjukkan antusiasme tinggi dari para guru yang menyadari bahwa media digital sangat membantu efisiensi evaluasi dan mengurangi beban koreksi manual. Meski terdapat beberapa kendala seperti koneksi internet dan kendala teknis lainnya, pelatihan ini berdampak positif dan berhasil memperkenalkan pendekatan evaluasi yang lebih adaptif dan berpusat pada siswa sesuai dengan tuntutan pembelajaran abad ke-21. Pelatihan ini diharapkan dapat mendorong penerapan evaluasi pembelajaran yang lebih modern dan berbasis teknologi secara berkelanjutan di sekolah.

Penelitian ini bertujuan untuk merancang dan membangun sistem informasi inventaris berbasis web di Laboratorium Komputer Universitas Dharmas Indonesia (Undhari). Sistem ini dibuat untuk mempermudah proses pencatatan, pemantauan, dan pelaporan data barang di laboratorium. Sebelumnya, pengelolaan data dilakukan secara manual, yang seringkali menimbulkan kesalahan dan memperlambat proses pencarian data. Dengan adanya sistem berbasis web, pengguna dapat mengelola data inventaris seperti stok barang, barang rusak, peminjaman, dan laporan dengan lebih efisien. Penelitian ini menggunakan metode Waterfall, yang terdiri dari tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Sistem dikembangkan menggunakan bahasa pemrograman PHP dengan framework CodeIgniter serta basis data MySQL. Hasil dari penelitian ini adalah aplikasi yang dapat diakses secara lokal oleh admin dan kepala laboratorium. Sistem telah diuji menggunakan metode blackbox dan terbukti berjalan sesuai fungsinya. Dengan adanya sistem ini, pengelolaan barang di laboratorium menjadi lebih rapi, terstruktur, dan memudahkan proses pelaporan. Selain itu, sistem ini juga membantu mengurangi penggunaan kertas dan meminimalkan kesalahan dalam pencatatan data inventaris.

The study presents a comprehensive framework for optimizing customer retention budget by integrating clustering, classification, and mathematical optimization techniques. The study begins with the IBM Telco dataset, which is prepared through data cleansing, encoding, and scaling.  In the preliminary phase, customer segmentation is performed using K-Means clustering, with k = 3 and k = 4 identified as optimal based on the elbow method and Silhouette score. The configurations produced three (Premium, Standard, Low) and four (Premium, Standard Plus, Standard, Low) customer segments based on purchase preferences, which served as input features for churn prediction. In the second phase, the dataset was divided into training and test sets in an 80:20 ratio, followed by data balancing using the Synthetic Minority Over-sampling Technique (SMOTE) and Edited Nearest Neighbors (ENN). Multiple classification algorithms were evaluated, including Naive Bayes (NB), Random Forest (RF), Categorical Boosting (CatBoost), Light Gradient Boosting Machine (LightGBM), Extreme Gradient Boosting (XGBoost), Gradient Boosting (GB), Support Vector Machine (SVM), Logistic Regression (LR), K-Nearest Neighbors (KNN), and Multi-Layer Perceptron (MLP) using F1-score as the performance metric. CatBoost and LightGBM, with k values of 3 and 4, respectively, were the highest-performing classification models, with only minimal differences in performance.    Ultimately, customer segmentation established customer prioritization, whereas churn prediction assessed customer churn likelihood. Four distinct configurations were assessed utilizing mixed-integer linear programming (MILP) to optimise retention budget allocation within uniform budget constraints, discount amounts, and churn thresholds. In both the k=3 and k=4 scenarios, CatBoost surpassed LightGBM, with CatBoost at K=3 effectively discounting 66% of at-risk consumers across all three segments, hence improving the intervention's efficacy and budget allocation, making it the ideal choice for maximizing customer retention. The results demonstrate the importance of segmentation in enhancing retention budgeting and budget optimization, particularly concerning parameter sensitivity.

learning, communication, and data management activities. This study aims to design a LAN network topology that suits the needs and environmental conditions, both at home and in small to medium-scale educational institutions. The methodology used includes hardware requirements analysis, network topology selection, and simulation using software such as Cisco Packet Tracer. The design results show that the use of a star topology for home networks and a combination of star and extended star topologies for schools provide optimal performance in terms of speed, scalability, and ease of maintenance. This design also takes into account aspects of security, cost efficiency, and ease of future development. The development of information technology drives the need for reliable and efficient computer networks, especially in home and school environments. The design of Local Area Networks (LANs) is an important solution in supporting integrated

Many mechanical systems with elastic and damping properties are prone to resonant phenomena at natural frequencies under the action of external forces. Resonance phenomena can also be preserved in control systems of such objects closed by negative feedback, which reduces the quality of the functioning of these systems. The paper under review deals with the practically important problem of suppressing oscillations at natural frequencies in control systems for a linear oscillator, which is traditionally considered a dynamic object described by a second-order differential equation with complex roots of the characteristic equation. The focus of the work is the question of the roughness of the system in relation to inaccurate knowledge of the resonant frequency of the controlled object (which is typical for many technical applications).

Penelitian ini mengeksplorasi proses pengambilan keputusan investor dalam reksa dana ETF. Hasil penelitian menunjukkan bahwa perusahaan secara aktif meningkatkan pemahaman investor melalui berbagai saluran edukasi, termasuk media sosial, webinar, dan sosialisasi langsung. Pendekatan ini sejalan dengan prinsip-prinsip Keuangan Perilaku, yang mengakui bahwa investor sering mengandalkan heuristik dan dipengaruhi oleh bias yang dapat dikurangi dengan informasi terstruktur. Namun, investor juga menghadapi tantangan dalam pengambilan keputusan, seperti volatilitas pasar, misinformasi, kurangnya kepercayaan diri, dan pilihan yang berlebihan, yang mencerminkan bias perilaku umum seperti penghindaran ambiguitas. Untuk mengatasi tantangan ini, perusahaan mendukung investor dengan menawarkan layanan profesional yang tepercaya dan produk investasi yang jelas dan terstruktur, yang membantu menstabilkan perilaku investor dan membangun kepercayaan.

Indoor positioning technology plays an important role in improving efficiency and automating industrial processes such as warehouse management, production lines, and mobile robot navigation. However, existing RFID-based and odometry-only localization methods still suffer from limited accuracy, drift, and dependence on predefined infrastructure. To address these challenges, this work proposes a lightweight sensor fusion framework that combines wheel encoder data and phase-based RFID signals using an Extended Kalman Filter (EKF) for accurate indoor localization of mobile robots. The proposed method does not require prior knowledge of the tag map and enables convergence even when the robot starts outside the reader's range. Simulation results demonstrate that the fused method achieves an average positioning error of 5.4 cm and a final error of less than 8 cm. An ablation study comparing odometry-only, RFID-only, and fusion scenarios confirms the superiority of the integrated approach in terms of accuracy and robustness. The system is suitable for real-time implementation in cost-effective embedded platforms and has potential for deployment in smart warehouses and logistics environments.