Transformasi digital merupakan elemen kunci dalam meningkatkan daya saing dan keberlanjutan Usaha Mikro, Kecil, dan Menengah (UMKM) di era industri 4.0. Penelitian ini bertujuan untuk menganalisis peran pemerintah daerah dalam mendorong transformasi digital pada UMKM di Labuan Bajo, Nusa Tenggara Timur. Metode yang digunakan dalam penelitian ini adalah pendekatan kualitatif dengan teknik pengumpulan data melalui wawancara mendalam, observasi, dan studi dokumentasi terhadap pelaku UMKM serta instansi pemerintah terkait. Hasil penelitian menunjukkan bahwa pemerintah daerah memiliki peran strategis dalam menyediakan infrastruktur digital, pelatihan keterampilan digital, serta menciptakan kebijakan yang mendukung inklusi teknologi pada UMKM. Meskipun terdapat berbagai upaya yang telah dilakukan, tantangan seperti keterbatasan akses internet, rendahnya literasi digital, dan kurangnya pendampingan teknis masih menjadi hambatan utama. Oleh karena itu, sinergi antara pemerintah daerah, sektor swasta, dan komunitas lokal menjadi faktor penting dalam mempercepat proses transformasi digital yang berkelanjutan.

Energi adalah aspek krusial dalam pembangunan dan keberlangsungan hidup manusia. Dalam konteks ini, pemahaman yang mendalam tentang jenis energi dan ketersediaannya menjadi penting. Tulisan ini memberikan tinjauan menyeluruh tentang berbagai jenis energi yang digunakan secara luas di seluruh dunia, seperti tenaga surya, angin, hidro, biomassa, dan nuklir. Setiap jenis energi memiliki karakteristik, kelebihan, dan tantangan tersendiri dalam penggunaannya. Selain itu, ketersediaan energi menjadi faktor penentu dalam keberlanjutan ekonomi dan sosial suatu negara. Penelitian ini juga mengulas tentang tantangan global terkait ketersediaan energi, termasuk perubahan iklim, polusi, dan ketergantungan terhadap sumber energi yang tidak terbarukan. Dengan mempertimbangkan kompleksitas ini, upaya-upaya untuk meningkatkan ketersediaan energi, mempromosikan energi bersih dan berkelanjutan, serta mengembangkan teknologi dan kebijakan yang mendukung, menjadi sangat penting untuk menghadapi tantangan energi global di masa depan.

The Philosophy of Islamic Education serves as the main foundation that guides the spiritual and intellectual development of each individual. As a solid foundation, this philosophy not only acts as a conceptual framework, but also spreads into the essence of education, shaping personality, and directing the mind towards a deeper understanding of knowledge and spirituality. This article aims to contribute to a deeper understanding of how Islamic educational philosophy can be a strong foundation for forming spiritual and intellectual intelligence. The method used is descriptive qualitative with library research, this research does not need to go into the field, but simply utilizes several sources of data in this article is done by searching the literature from various sources online according to the focus of the research. Data acquisition techniques are carried out by searching online books, scientific journals, and Google Scholar sources.The results of the discussion in this article show that Islamic Education Philosophy is the basis for creating spiritual and intellectual intelligence by emphasizing the integration of Islamic values ??in forming character through holistic education, and involving the principles and indicators of spiritual and intellectual intelligence., as well as the integration of Islamic teachings in the process of forming a balanced character and personality.

This research investigates the legal protection afforded to well-known trademarks against unfair competition in the digital era.  The proliferation of e-commerce and online platforms has created new challenges for trademark protection, with instances of infringement, counterfeiting, and other forms of unfair competition becoming increasingly prevalent.  This study aims to analyze the adequacy of existing Indonesian legal frameworks, including the Trademark Law and the Law on Prohibition of Monopoly and Unfair Business Competition, in addressing these challenges.  Employing a qualitative research method involving legal doctrinal analysis and case studies of relevant court decisions, the study examines the effectiveness of current legal mechanisms in protecting well-known trademarks online.  The findings reveal gaps in the legal framework and suggest areas for improvement, such as enhanced enforcement mechanisms and regulations specifically tailored to the digital environment.  The conclusion emphasizes the need for a more robust and adaptable legal framework to effectively safeguard well-known trademarks in the dynamic landscape of digital commerce

The absence of a father figure (fatherlessness) can have significant impacts on an individual's psychological and social well-being, particularly among university students who are navigating the critical phase of identity formation. This study aims to explore the meaning of father loss in students by comparing experiences of losing a father due to divorce and death. Using a qualitative phenomenological approach, six participants who had experienced fatherlessness were interviewed in depth. The results show that the loss of a father due to death is generally perceived as a permanent and irreplaceable loss, evoking deep sadness. In contrast, father loss due to divorce is often associated with emotional conflict, feelings of abandonment, and unresolved grief (ambiguous loss). The psychological impacts include emotional disturbances, social difficulties, and low self-confidence. Students employed various coping strategies such as seeking social support and engaging in academic or productive activities. In conclusion, the study highlights that the meaning of father loss varies depending on its cause, but both types have significant negative effects on students' psychological well-being. Therefore, strong emotional and social support is essential to help fatherless students adapt and build resilience in facing such loss.

This research aims to understand the role of fandom in driving the growth of the fanworks market in Indonesia, specifically through the case study of Comifuro, a popular cultural event that is the center for the distribution of fan-made works. The research method used is qualitative, with a self-report approach from participants who are directly involved as creators and consumers at Comifuro since the beginning of its implementation. The results of the study show that the emotional connection between fans and copyrighted works encourages active involvement in producing and consuming fanworks. Fanworks are not only a forum for expression, but also a means of creative monetization that is socially legal even though it is legally gray. Comifuro gives creators a space for freedom of expression, bringing them together directly with audiences in an inclusive and supportive space. The surge in visitors and participants since the post-pandemic reflects the high demand for fandom content, as well as demonstrating the power of communities in supporting the creative economy. This research emphasizes the importance of recognizing the role of fans as the main motor in popular culture dynamics and community-based digital economy.
 

Nowadays, the construction, monitoring, quality control, and maintenance of roads always require high-precision, easy-to-use measuring devices in the field. This study develops an embedded computer program using the YOLOv8 model integrated into a smart road length measuring device to detect road surface cracks. First, the study analyzes and clarifies the outstanding points of the YOLOv8 model, including anchor-free: Eliminates the use of traditional anchor boxes, helping to simplify the training process, increase accuracy and reduce computational costs; C2f (Cross-Stage Partial with feature fusion); Replacing CSSPLayer in YOLOv5, this module improves feature extraction and maintains good computational performance; SPFF (Spatial Pyramid Pooling - Fast): Helps expand the receptive field without increasing computational costs, supporting object recognition at multiple scales; PAN++: Enhances the transfer of features from lower layers to the output, helping to detect small objects such as cracks well. Then, this work evaluated the performance of the proposed model by applying YOLOv8 on the surface crack dataset taken from the open-source Roboflow Universe. The results showed that the developed YOLOv8 model achieved good results with the recall indexes of 57.3%, mAP50 59.3%, precision of 64.4% mAP50-95 48.9% for YOLOv8n model, and can improve the accuracy further, reaching 79.8% using the YOLOv8m model, while still meeting the real-time processing speed of the device. These experimental results using the YOLOv8 model for detecting cracks on DongAnh road, Hanoi, Vietnam, confirm the possibility of applying the integrated road crack detection model on smart road length measuring devices in practice, achieved a precision of 43.3%, supporting the survey, inspection, supervision, construction and management of traffic infrastructure more scientifically and effectively

The integration of Artificial Intelligence (AI) into scientific advancements has become a crucial part of daily life for many people. In the creative industry, AI has the potential to not only enhance the level of creativity, but also productivity. The legal implications of this development must be carefully analyzed for the development of the creative industry, to establish a legal position on where AI stands in the increasingly competitive market, especially when Intellectual Property Right (IPR) as a key factor is taken into account. This research examines the need for a legal framework for AI. It was conducted through the lens of intellectual property law, to determine its place within existing IPR regimes using the comparative legal method. The results conceptually justify the urgency to regulate AI, and highlights the taxonomy dilemma of AI-generated works within the current dynamics of the creative industry, indicating a taxonomy dilemma. Further analysis also indicates that while there’s a decent urgency to address all of the normative issues that exist within Indonesia’s IPR legal framework, it’s imperative that Indonesia prioritizes the development of the copyright and patent regimes, which are closely related to the nature of AI-generated works.

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.

Appropriated artwork refers to the practice of using pre-existing objects or images into new works of art with little or no significant changes to the original form. This trend developed into the Pop Art movement, where one of the characteristic features was the use of images from mass media, as seen in the works of Andy Warhol, including the transformation of Campbell's soup cans into iconic works of art. Although widely appreciated, this work has drawn criticism regarding copyright infringement, raising the question: where do one artist's rights draw on another? To what extent is the appropriation of copyright protected works considered legal without violating the rights of the original creator?
The research results show that the two legal systems differ significantly in the aspects of exclusive rights, moral rights, protected works, exceptions, and duration of protection. The challenge in understanding fair use lies in determining the boundaries between the rights of one artist and another. The fair use doctrine assesses four main factors: the purpose and character of the use, the nature of the original work, the proportion of the work used, and the impact on the market. Courts in the US often favor fair use if elements of transformation are identified, measuring the extent to which the appropriated work carries elements of originality or new creativity. Indonesia could consider adopting the fair use doctrine by adapting the concept through ministerial regulations or other implementing regulations.