This study examines the potential of productive waqf as an alternative financing mechanism for Micro, Small, and Medium Enterprises (MSMEs) in Indonesia within the framework of Islamic business law. Amid limited access to conventional financing due to administrative and interest-based barriers, productive waqf emerges as a sharia-compliant and socially inclusive solution. Using a qualitative-descriptive method through library research, the study analyzes literature from academic sources and waqf institutions. The findings show that productive waqf not only offers capital assistance but also empowers MSMEs through training, infrastructure, and fair financing schemes. This financing model aligns with Islamic principles such as justice, prohibition of riba and gharar, and public benefit (maslahah). Successful implementations by institutions like Dompet Dhuafa and Bank Wakaf Mikro demonstrate its effectiveness in increasing business capacity, income, and job creation. The study concludes that productive waqf can significantly contribute to sustainable and equitable economic development when supported by strong regulation, professional nazhir management, and broader public awareness.Keywords: Islamic business law, MSMEs, productive waqf, alternative financing, sharia economy

The digital era transforms religious practices such as Tahajud prayer into a spiritual experience publicly shared and reinterpreted through social media, creating a new reality of transcendental communication within digital spaces. This study aims to understand the meaning of transcendental communication in Tahajud prayer shared by the TikTok user @dynsonlyy through virtual ethnographic analysis of comments and digital interactions. This research employs mixed methods with a sequential explanatory design, combining virtual ethnography, descriptive quantitative analysis, netnography, methodological triangulation, and data visualization to understand transcendental communication comprehensively. Research findings: The study reveals that transcendental communication through Tahajud prayer on TikTok is personal, collective, and significantly impactful. From 309 analyzed comments, 88 experiences related to sustenance (rezeki), 63 to inner peace, 52 to education issues, 46 to finance, 41 to family, and 40 to work were identified. One hundred fifty-six comments contained prayer requests, 96 reflected emotional transformation, and 29 noted mystical experiences. TikTok functions as a sacred digital space, enabling authentic spiritual expression and forming a networked religious community, strengthening religious identity while serving as a medium for collective coping and spiritual transformation in the digital era. Conclusion: Transcendental communication in Tahajud prayer on TikTok evolves into digital communal spirituality, dominated by prayer requests and sustenance outcomes, demonstrating real psychological and material effects. 

Organic waste management is an important issue in addressing environmental problems. One potential solution is bioconversion technology using Black Soldier Fly (BSF) maggots that can break down organic waste and produce larvae with economic value as animal feed. To increase the selling value and extend the shelf life, BSF larvae need to be dried using tools such as rotary dryers. This study aims to design and analyse the strength of a rotary dryer machine frame for maggot drying with a Finite Element Analysis (FEA) approach based on SolidWorks software. Simulations were carried out on several materials: ASTM A36, AISI 1020 Steel, and AISI 1045 Steel. The analysis results show that all materials are within safe limits based on Von Mises stress, deformation, and safety factor. AISI 1045 steel material gives the best performance with Von Mises stress of 14.238 MPa, deformation of 0.59 mm, and safety factor of 7.2. These results show that AISI 1045 steel is the most recommended material for the rotary dryer frame.

The utilization of drones for mapping is an easy, cheap and fast way with better spatial resolution when compared to conventional mapping or satellite rides. For students of SMK Kehutanan Negeri Pekanbaru, this ability is expected to improve their skills after graduating from forestry school. This service provides solutions including: 1) increase students' understanding of Drone Mapping, 2) increase the competence of SMK Kehutanan Negeri Pekanbaru students in the field of forest and land cover mapping. The service was carried out at SMK Kehutanan Negeri Pekanbaru. The service was conducted from December 2024 to May 2025. The activities carried out include socialization or delivery of material on various forms of drone utilization in the forestry sector, training in spatial data collection using drones, trials in processing spatial data from drone photos and map layout. After the service was carried out, there was an increase in the knowledge of partners who were students of SMK Kehutanan Negeri Pekanbaru on drone operation training activities as an increase in competence, an increase of 66.48%. Partners already have skills in utilizing drones for mapping. Partners are able to create flight paths, fly drones, process and layout maps.

This study examines public perceptions of the practice of "dawn attack" in the 2024 election, which is a form of money politics that is still rampant in Indonesia. This study aims to understand how the public assesses the impact of such practices on democratic integrity and voter behavior. This study involved 101 respondents with diverse backgrounds, the majority of whom were students, and some came from other professions such as civil servants, teachers, entrepreneurs, and medical personnel. Data collection was carried out through an open questionnaire, which was then analyzed using thematic methods to identify the main patterns in the community's view. The results of the study showed that the majority of respondents considered the dawn attack as a form of political manipulation that undermined the principle of fairness in elections. As many as 56.4% of respondents admitted that they had seen or knew of this practice, with the main impact in the form of temporary economic benefits and changes in voter behavior. This study highlights the importance of concrete steps in suppressing the practice of money politics, including through stricter law enforcement and political education for the public. Thus, this research is expected to contribute to efforts to create a fairer, more transparent, and democratic electoral system in the future.

In the era of Industry 4.0, optimizing fluid flow systems in smart factories is essential to improve energy efficiency and operational stability. Traditional Computational Fluid Dynamics (CFD) simulations provide accurate fluid flow analysis but require extensive computational resources and long processing times, making real-time applications challenging. To address this limitation, this study aims to develop an AI-based predictive model for CFD simulations, utilizing Convolutional Neural Networks (CNN) and Extreme Gradient Boosting (XGBoost) to accelerate the estimation of fluid flow characteristics in industrial environments. The research methodology involves generating CFD simulation datasets, preprocessing data, and training AI models to predict key fluid parameters such as pressure, velocity, and temperature. The evaluation results show that CNN achieves a Mean Squared Error (MSE) of 0.0025 and a Root Mean Squared Error (RMSE) of 0.05, outperforming XGBoost, which records an MSE of 0.0030 and an RMSE of 0.055. Moreover, CNN predicts fluid dynamics in just 15.2 seconds, while XGBoost achieves results in 10.5 seconds, compared to the 1200.5 seconds required by traditional CFD simulations. These findings highlight the potential of AI in reducing computation time by over 98%, making real-time fluid flow analysis feasible in industrial settings. This study contributes to the advancement of AI-integrated CFD modeling, demonstrating that AI can significantly enhance the efficiency of fluid dynamics analysis without compromising accuracy. Future research should focus on expanding AI models to handle more complex flow conditions and integrating AI with smart factory design tools for real-time optimization

Health centers have an important role in providing effective and efficient health services to the community. However, the problem of long and unorganized queues often hinders the quality of service. This study aims to design and implement a web-based queue management system at the Stabat Lama Health Center. The methods used include system requirements analysis, database design, and software development. This system allows patient registration, queue number retrieval, and automatic patient calling, thereby reducing waiting time and increasing operational efficiency. The implementation results show that this system is able to create a more orderly service flow, minimize errors in the queuing process, and increase patient satisfaction. With the integration of information technology, this system is expected to support the transformation of more modern and responsive health services.

The purpose of this research is to see how the Literacy Warkop location influences student buyer interest at Sultan Ageng Tirtayasa University (Untirta). Factors such as comfort, accessibility and atmosphere were studied through a survey conducted by twenty students. In this current era of globalization, a coffee shop is not only a place to enjoy coffee, but also a place to interact socially and intellectually. It is hoped that the location of the literacy shop near the library or academic building will increase student accessibility and comfort. The research results show that students' buying interest is greatly influenced by the right purchase location. The buyer's desire to buy something which is influenced by internal and external factors is called buying interest. This research helps business people determine location placement methods to attract student attention. Therefore, location maintenance is very important for the success of literacy warkop in attracting student customers.

The MBKM KKN group at the University of Riau, Kuala Gasib village, Koto Gasib District, Siak Regency is one of the programs of the Education Department where in this MBKM KKN we are students at the University of Riau majoring in Sports Education. This MBKM KKN was carried out for 41 days from July 15 to August 24 2024. In this MBKM KKN we took the title namely Together with the Community of Kampung Kuala Gasib Dare to Live Healthy.

This community service activity aimed to socialize the correct (standard) use of the Indonesian language, thereby fostering a sense of love for the country among students at SMA Negeri 1 Cinangka, Serang Regency, Banten. The goal of this activity was to instill early awareness among students to use the Indonesian language according to standardized spelling with deep love for the nation, without feeling ashamed, outdated, or merely using it as a form of identity as Indonesian citizens. It sought to rekindle a sense of nationalism in the students of SMAN 1 Cinangka by encouraging them to love and use the Indonesian language in accordance with linguistic norms.The method used in the socialization activity involved preparation, implementation, evaluation, and reporting. The socialization event was held at SMA Negeri 1 Cinangka, Cinangka Village, Serang Regency, on Monday, August 26, 2024. The participants of this activity included 207 students from SMA Negeri 1 Cinangka and the KKM (Kuliah Kerja Mahasiswa) group 38 of Cinangka. The speakers were lecturers from Bina Bangsa University with a background in the field of linguistics. The results of this activity produced an understanding and awareness among students to use the Indonesian language according to standardized spelling with deep love for the nation, without feeling ashamed, outdated, or merely using it as a form of identity as Indonesian citizens. This socialization activity is expected to rekindle a sense of nationalism in the students of SMAN 1 Cinangka, encouraging them to love and use the Indonesian language in accordance with linguistic norms.