Nipah Panjang Village in Kubu Raya Regency, Indonesia, has diverse mangrove forest vegetation. Meanwhile, the mangrove forest in Nipah Panjang Village has the potential threat of deforestation, so it is necessary to develop a management strategy. A mangrove management directive can be compiled with mangrove biophysical data and the social conditions of the surrounding community. Therefore, this study aims to examine the distribution of mangrove forest areas and their utilization by the community in Nipah Panjang Village. The method used in this study was GIS analysis to determine the distribution of mangrove forest areas. In this study, observations and interviews were carried out to determine the use of mangrove forests. The study results show that from 2013 through 2018, there was around 3.12 Ha of deforestation. Deforestation that occurred was much lower than the previous year. It was due to the implementation of a devolution policy that granted village forest permits in Nipah Panjang Village. Currently, the forms of utilization of mangrove forests in Nipah Panjang Village are the farming (apiculture)  of kelulut honey, forest honey farming, and crab farming with the concept of silvofishery and the development of ecotourism. This form of utilization needs to be maximized so that the community's welfare increases, ultimately maintaining the mangrove forest.

The transition from Society 5.0 to Society 6.0 presents significant challenges and opportunities in shaping early childhood character. This article aims to explore how technological evolution, particularly artificial intelligence, the Internet of Things, and robotics, influences the values education of young children. Using a qualitative literature review with an analytical-descriptive approach, this study analyzed open-access sources from 2019 to 2024, complemented by key foundational theories. The findings highlight the need for a holistic strategy involving schools, families, communities, government, and industry in shaping future-ready character. Key thematic areas include digital literacy, ethical technology use, emotional intelligence, and collaborative synergy across sectors. The study proposes a conceptual framework that integrates human values with digital advancements to support sustainable, inclusive character development in early childhood. These insights are expected to serve as a foundation for policy, curriculum, and innovation in early childhood education in the Society 6.0 era.

Penelitian ini bertujuan untuk mengembangkan sistem pendingin terintegrasi berbasis teknologi nano untuk meningkatkan efisiensi mesin kendaraan bermotor. Sistem pendingin berbasis nano yang dikembangkan dapat mengoptimalkan suhu mesin, memperpanjang umur komponen, dan mengurangi konsumsi energi. Penelitian ini menggunakan cairan pendingin berbasis nano yang mengandung nanopartikel logam (tembaga dan aluminium) serta karbon nanotube (CNT) untuk meningkatkan konduktivitas termal. Pengujian dilakukan dalam dua tahap: pengujian simulasi suhu mesin dan pengujian dunia nyata pada kendaraan bermotor. Hasil pengujian menunjukkan bahwa sistem pendingin berbasis nano berhasil menurunkan suhu mesin hingga 7°C lebih rendah dibandingkan sistem pendingin konvensional. Selain itu, efisiensi bahan bakar meningkat sebesar 5% dan emisi CO2 berkurang sebesar 10%, menunjukkan bahwa sistem pendingin berbasis nano berpotensi mengurangi dampak lingkungan. Meskipun demikian, tantangan utama adalah biaya produksi material nano yang masih tinggi. Oleh karena itu, penelitian lebih lanjut diperlukan untuk menurunkan biaya dan meningkatkan kestabilan material nano dalam aplikasi dunia nyata.

The writing of this thesis is motivated by the low creativity found in students, educators have not used a variety of learning models in learning Natural and Social Sciences. The purpose of this research is to increase the creativity of students in Natural and Social Sciences subjects using the project-based learning model for classV. This research is a class action research of two cycles, each cycle consists of two meetings. Each cycle consists of four stages, namely planning, implementation, observation and reflection. The subjects of this research were Class V students of State Elementary School 192/1 Kampung Baru. This research was conducted in the second semester of the 2024/2025 school year. At State Elementary School 192/1 Kampung Baru. The results of the research data analysis show that using the project-based learning model can increase student learning motivation in Natural and Social Sciences subjects in class V of State Elementary School 192/1 Kampung Baru. Details of the results of observations of students using the project-based learning model have increased from cycle I to cycle II with an average value of 66.66% in the less creative category and increased to 93.33% in the Creative category. It is concluded that using the Project-based Learning Model can increase student creativity in Natural and Social Sciences subjects in class V of State Elementary School 192/1 Kampung Baru.

This community service program aimed to explore and strengthen the role of local communities in preserving the natural tourism site known as "Pohon Sejuta Umat" in Banda District, Central Maluku. This site holds ecological, cultural, and spiritual value, making community involvement vital for its sustainability. The program employed participatory methods including observations, interviews, focus group discussions, and training workshops with community members, traditional leaders, and the local tourism awareness group (Pokdarwis). The findings reveal strong community commitment in conserving the area through regular clean-ups, informational signage based on local wisdom, and collaborative patrols. Capacity-building sessions enhanced community understanding of environmental conservation and introduced digital strategies to promote the site. This initiative underscores the importance of integrating local knowledge and participatory approaches in sustainable tourism development. Empowering local communities ensures that conservation efforts align with both environmental goals and socio-economic benefits.

The Soerakarta Walking Tour (SWT) is an innovative urban tourism initiative that integrates cultural preservation, environmental sustainability, and inclusivity. This study examines how SWT's promotes green tourism through a mixed-methods approach, combining quantitative surveys and qualitative interviews with participants. The quantitative findings reveal high levels of participant satisfaction, including understanding green tourism principles and satisfaction with cultural storytelling. Qualitative data complement these results, highlighting participants’ appreciation for Muslim-friendly facilities, opportunities for cultural learning, and the promotion of local economic and environmental sustainability. The study applies the frameworks of Integrated Marketing Communication (IMC) and Social Marketing to analyze how SWT delivers consistent and engaging messages while fostering behavioral change. The findings show that SWT successfully inspires participants to adopt sustainable practices, though some variability in the visibility of green tourism principles suggests room for improvement.

This study explores the transformative role of Artificial Intelligence (AI) in enhancing customer experience personalization (CEP) and optimizing marketing strategies (MSO) within digital marketing environments. Grounded in the Technology Acceptance Model (TAM), the research incorporates ethical and privacy concerns (EC) as moderating factors influencing AI adoption and its effectiveness. Using survey data from marketing professionals across diverse industries, the study employs Structural Equation Modeling (SEM) to analyze complex relationships among AI use, CEP, MSO, and marketing outcomes. The findings reveal that AI significantly improves customer engagement and marketing performance by enabling tailored interactions, data-driven segmentation, and campaign optimization. Moreover, ethical and privacy concerns positively moderate these effects, underscoring the necessity of responsible AI practices in sustaining consumer trust and regulatory compliance. By offering empirical insights into the interplay between AI, personalization, strategy, and ethics, this study contributes to both theoretical development and practical guidance for businesses navigating digital transformation. The research highlights AI’s strategic potential in creating sustainable competitive advantage while advocating for ethical safeguards in technology-driven marketing.

Piping systems are critical components across various industrial sectors, including agriculture. The 90° elbow plays a key role in directing fluid flow; however, abrupt changes in flow direction within the elbow often lead to pressure losses and vortex formation, particularly in configurations with small curvature radii. This study aims to analyze the fluid flow characteristics within a 90° elbow under different curvature radii (extreme, R30 mm, and R50 mm) and various valve opening conditions, using numerical simulation based on Computational Fluid Dynamics (CFD) in ANSYS Fluent 2019 R3. The simulation results show that increasing the curvature radius leads to a more uniform pressure distribution along the bend and a reduction in vortex formation. Although larger valve openings increase flow velocity and Reynolds number, the pressure and velocity contours do not exhibit significant changes in flow patterns. This study confirms that elbow geometry design greatly influences the hydrodynamic efficiency of piping systems and can help minimize the risk of damage due to uneven pressure distribution

This study analyzes the performance of the Logistic Regression algorithm in facial image classification using a combination of color and shape features. These features are used to extract key information to distinguish individuals. Logistic Regression was chosen for its simplicity and ability to produce probabilities, despite the availability of more complex algorithms. The dataset includes variations in facial expressions and lighting conditions. The results show that combining color and shape features improves classification accuracy to 80%, with a recall of 88% and a precision of 75.86%. However, the algorithm shows limitations when dealing with high-complexity data. This study contributes to the development of more efficient facial recognition systems and offers insights into the strengths and limitations of Logistic Regression in image classification tasks.

The COVID-19 pandemic requires banks to be able to provide electronic-based transactions, carry out digital transformation, and also open up opportunities for financial technology-based companies. An example of this transformation is the first Sharia-based digital bank such as Aladin Digital Bank. This study aims to analyze the effect of perceived usefulness, perceived credibility, and features on the decision to use Aladin Digital Bank in the Pekalongan Regency and City in the New Habit Era. This study uses primary data with 20 statement items distributed through Google Forms and questionnaires with quantitative methods to the people of the Pekalongan Regency and City who have used the Aladin Digital Bank application. The number of samples was 97 respondents using the purposive sampling method. The data analysis technique uses multiple linear regression analysis with the help of SPSS version 26 software with a significance level of 5%. The results showed that the perceived usefulness variable had a positive and significant effect partially, while the perceived credibility and feature variables had no positive and significant effect partially. However, the variables of perceived benefits, perceived trust, and features have a positive and significant impact simultaneously.