The increasing complexity of naval electrical systems and the demand for higher operational reliability necessitate a shift from traditional maintenance methods to data-driven predictive maintenance solutions. This research examines the effectiveness of IoT-based remote monitoring and diagnostic systems in improving system reliability, cost-efficiency, and operational sustainability in naval engineering. A qualitative-empirical approach was applied, utilizing expert interviews, structured surveys, and field observations to assess the impact of IoT-driven predictive maintenance. The findings indicate a significant reduction in system failures (92/100), maintenance costs (89/100), and operational downtime, demonstrating the effectiveness of real-time fault detection and automated diagnostics. Additionally, the study identifies challenges in infrastructure readiness (78/100) and cybersecurity concerns (82/100), which must be addressed for large-scale implementation. While the adoption rate (88/100) reflects strong industry support, skill readiness gaps (80/100) suggest a need for enhanced technical training in maritime education. The research concludes that IoT-based predictive maintenance offers a transformative approach to naval maintenance strategies, ensuring sustainability, efficiency, and enhanced fleet readiness in modern maritime operations.

The Tahfizh program at Senior High School Darul Quran Al-Wafa is effective but not yet optimal. This study evaluates the context, input, process, and product aspects to improve the quality and effectiveness of the program's implementation. The study uses the CIPP evaluation model, with data collected through observations, interviews, and documentation, and analyzed using triangulation to ensure data validity. The results show: (1) Context evaluation: The Tahfizh program aims to produce a generation that memorizes, reads according to tajwid, and practices the teachings of the Quran, although there are challenges in achieving memorization targets and differences in students' abilities. (2) Input evaluation: The Tahfizh program includes qualified teacher competencies, variations in students' memorization abilities, a flexible curriculum, and adequate supporting facilities. (3) Process evaluation: The Tahfizh program includes structured learning implementation with flexible time, motivational challenges, boredom, and insufficient rest time, with efforts for improvement through evaluations and more engaging approaches. (4) Product evaluation: The Tahfizh program shows positive impacts on memorization ability, religious understanding, and character development, although memorization targets have not been fully achieved, with recommendations for improvement and enhancement. Conclusion: The school's flagship tahfidz program with regular evaluations is fully supported by the school.

This study explores the effectiveness of inquirybased learning (IBL) in enhancing problemsolving skills among high school students in mathematics. The research is based on a case study conducted in a school where IBL methods were incorporated into the curriculum. The findings suggest that students engaged in inquirybased activities showed improved critical thinking and problemsolving abilities compared to traditional teaching methods. This paper discusses the impact of IBL on students' motivation and their ability to approach complex mathematical problems with greater confidence.

Kegiatan Tim PkM Program Studi Teknik Informatika Universitas Semarang menyelengarakan pelatihan membuat website dengan WordPress di SMK N 2 Demak. Kegiatan ini di ikuti oleh 35 siswa dan diselengarakan di Laboratorium Komputer SMK N 2 Demak. Sebelum dilakukan kegiatan ini siswa di berikan Pre-Test terkait kegiatan, dimana didapatkan sejumlah siswa masih belum begitu paham tentang website WordPress. Namun setelah dilakukan penjelasan dan praktik membuat website menggunakan WordPress, siswa lebih paham dan mengerti cara membuat website menggunakan WordPress.

The principle of precaution is understood as a preventive action in facing uncertainty or potential risks, especially when the potential impact of an action could be harmful. The Constitutional Court, whose decisions are final and binding, also applies this principle in its decision-making process. This research analyzes the relationship between the precautionary principle and the Justice Deliberation Meeting (RPH). The research method used was normative legal research with a statutory, conceptual, and philosophical approach. The study results affirm that the characteristics of Constitutional Court justices, viewed from the theory of authority, are unique. The theory of authority in law refers to the power or authority an institution or legal body possesses to make legitimate and binding decisions. In the context of the Constitutional Court, its decisions have a distinctiveness that reflects this institution’s special nature and responsibility. Furthermore, the Constitutional Court’s final decisions are binding, prioritize public interest, and use comprehensive evaluations in testing laws, reflecting the application of the precautionary principle in maintaining the integrity of the Constitution and justice for the entire society. In the case of RPH, justices should also apply the precautionary principle by considering all aspects and potential impacts of the law on the Constitution and the sense of justice in society.

The adrenal cortex synthesis the steroid hormone dehydroepiandrosterone (DHEA), has a significant effect on diabetes mellitus. Our study targeted to estimate the relationship between serum levels of DHEA sulphate (DHEAS) and the risk of CAD complication for T2DM in men. Ninety Iraqi male subjects were divided into three groups. Each group has thirty people: thirty people type 2 with diabetes mellitus, thirty person type 2 diabetes mellitus patients with CAD complications, and the control group has thirty healthy people. A significant decrease (p<0.01) of DHEAS, was observed in T2DM with CAD (120.8 µg/dl) compared to both T2DM (141.26 µg/dl) and the control group (239.86 µg/dl). Meanwhile, an increased coronary risk index in T2DM with CAD (10.68) compared to both T2DM (7.56) and control group (4.41) was observed. These findings were confirmed by the negative correlation of DHEAs with coronary risk index. We suggested that a decreased level of DHEAS value may be a beneficial sign for future CAD in patients with T2DM.

The research that has developed so far, the use of virtual laboratories in learning is only widely used for exact science groups such as mathematics, physics or chemistry, while in non-exact science groups it has not been widely done. Therefore, the purpose of this study is to determine the effectiveness of the use of virtual accounting laboratories on student learning outcomes in taxation courses which are non-exact science groups. This type of research is Quasi Experimental research using Nonequivalent Control Group Design. The results of the study showed that the post-test scores in classes that used virtual accounting laboratories increased higher when compared to classes that did not use virtual accounting laboratories. The contribution that is an important finding in this study is the use of virtual accounting laboratories for taxation courses which are non-exact science fields has been proven to be able to improve student learning outcomes.

Organizational culture is a system of values, norms and beliefs held by a group of people in an organization that differentiates it from other organizations. This definition can also be seen as a pattern of basic assumptions discovered or developed by a group of people as they interact with each other. Organizational culture can also be interpreted as the characteristics or guidelines implemented by each member of an organization or company. Micro, Small, Small and Medium Enterprises (UMKM) are independent productive business units, carried out by individuals or business entities in all economic sectors which greatly assist the process of recovery or improvement of the Indonesian economy. Therefore, play a very important role in the rate of economic growth in Indonesia. The title of this research is "Organizational Culture Analysis of Employee Performance in the Umkm Scope of Tamansari Region, Tasikmalaya City".

Di era digital saat ini, Usaha Mikro, Kecil Dan Menengah (UMKM) semakin banyak menggunakan teknologi chatbot seperti ChatGPT untuk berinteraksi dengan pelanggan. Namun, mengekstraksi wawasan yang bermakna dari sejumlah besar data yang dihasilkan oleh interaksi ini masih merupakan sebuah tantangan.  Penelitian ini mengusulkan pendekatan untuk meningkatkan analisis data penggunaan ChatGPT oleh UMKM menggunakan kombinasi K-Means clustering dan Independent Component Analysis ( (ICA) untuk pengurangan dimensi.  Pendekatan ini bertujuan untuk menemukan pola dan cluster tersembunyi dalam data dengan mereduksi ruang fitur menggunakan ICA dan kemudian menggunakan K-Means clustering.  Selain itu, penelitian ini mempertimbangkan kombinasi metode Elbow untuk mengoptimalkan pemilihan jumlah cluster yang optimal. Melalui eksperimen dan evaluasi, ditunjukkan efektivitas metode yang diusulkan, sehingga memberikan UMKM alat yang ampuh untuk mendapatkan wawasan berharga dari data penggunaan ChatGPT. Penelitian ini menggunakan data dari 50 UMKM di Kabupaten Kudus . Hasil evaluasi kinerja K-means menunjukkan untuk data yang relatif kecil, penggunaan ICA kurang mempengaruhi kinerja K-Means. Skenario uji coba data dengan ICA menunjukkan skor silhouette yang lebih rendah, yaitu 0.19 dan 0.18 untuk masing-masing data pelatihan dan pengujian, sedangkan skenario uji coba data tanpa ICA menunjukkan skor silhouette yang lebih tinggi, yaitu 0.30 dan 0.23.
 
Kata kunci: K-Means clustering, metode Elbow, ICA, ChatGPT, UMKM

Phishing is a fraudulent activity wherein an attacker impersonates a trusted individual or organization to acquire sensitive information from an online user. Phishing websites have become a major cyber-security issue in the contemporary digital landscape. As online activities expand in e-commerce, banking, and social media, the hazards presented by these fraudulent websites have intensified. Deep learning-based Natural Language Processing (NLP) approaches offer an effective solution for detecting phishing URLs. However, deploying large models like BERT or RoBERTa for real-time detection poses computational challenges. This study proposes BERTPHIURL, a Teacher-Student Learning framework that leverages RoBERTa as the Teacher model and DistilRoBERTa as the Student model to improve phishing detection efficiency while reducing computational overhead. By applying knowledge distillation, the Student model learns from the Teacher, preserving high detection accuracy with significantly lower resource consumption. The proposed approach effectively captures contextual relevance and local features in malicious URL detection tasks. The experiments were conducted on a dataset exceeding 50,000 URLs to evaluate performance. Results indicate that BERTPHIURL achieves a 94.22% accuracy, outperforming existing phishing detection methods while maintaining efficiency suitable for real-time applications.