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The Cultural Advancement Facilitation through Pinhole Photography as an Educational Medium for Children program aims to enhance cultural literacy, creativity, and awareness among young generations regarding the preservation of Malay Deli cultural heritage. This initiative is motivated by the declining interest of children in local history and culture amid rapid modernization, particularly in coastal areas with limited access to educational resources. Pinhole photography is employed as an educational approach due to its simplicity and reflective nature, fostering patience, accuracy, and a fundamental understanding of the interconnection between art, science, and culture. The program was conducted over three days through a series of activities, including workshops on constructing pinhole cameras, field exploration and photography at Malay Deli heritage sites namely Maimun Palace, Al- Mashun Grand Mosque, Al-Osmani Grand Mosque, and Sri Deli Park and photo developing and curation sessions. The activities actively involved children from the Rumah Edukasi Anak Pesisir community as primary participants in the visual documentation of cultural heritage. The results indicate an improvement in participants’ understanding of Malay Deli historical and cultural values, the development of creative and reflective thinking skills, and the production of children’s photographic works with potential use as educational and cultural promotion media. Overall, this program contributes to participatory-based cultural advancement and strengthens sustainable cultural tourism through an educational, creative, and sustainable approach.

This study evaluates the effectiveness of the SOSEK MALINDO (Malaysian-Indonesian Socio-Economic) regional collaboration program in addressing human trafficking, coordinated by the Regional Border Management Agency (BPPD) of the Riau Islands Province (Kepri). The Riau Islands Province, which borders Malaysia and Singapore, is a strategic entry point vulnerable to transnational crimes, including human trafficking. The main factors driving the people of Kepri to choose illegal routes to become Indonesian Migrant Workers (TKI) to Malaysia are economic pressure, limited job opportunities, attractive promises from brokers (tekong), complex and expensive official bureaucracy, and a lack of accurate information about official procedures. This situation is exploited by human trafficking networks through hidden routes, illegal ports, and methods of illegal labor and sexual exploitation. Although SOSEK MALINDO aims to improve the socio-economic welfare of communities in border areas and indirectly functions to reduce vulnerability to human trafficking, this program does not specifically make human trafficking its main focus. The BPPD plays a very important role as a liaison in cooperation with the Indonesian National Police, Immigration, and BP3MI for prevention and supervision. However, the BPPD faces challenges such as limited funding, overlapping authority between institutions, and a lack of accurate data on human trafficking. Strategic recommendations include making human trafficking a primary focus of the SOSEK MALINDO forum agenda, establishing a dedicated cross-border human trafficking task force, strengthening the BPPD's role in coordination and information gathering, and involving local communities, NGOs, and international organizations in mitigation efforts.

This research aims to analyze the implementation of the "Jalak Wadul Mas" (Jawa Timur Layanan Pengaduan Warga dan Dukungan Masyarakat/East Java Citizen Complaint Service and Community Support) innovation program in improving the welfare of people with social welfare problems (PMKS) in East Java Province. The Social Service of East Java Province developed this program as an integrated digital platform for complaint handling, social assistance distribution, and empowerment of vulnerable groups. Using the policy implementation theory from Edward III, this study examines four critical factors: communication, resources, disposition, and bureaucratic structure. This qualitative research employs a descriptive approach, with data collected through in-depth interviews, observation, and documentation at the Social Service of East Java Province during June-August 2025. Informants include program managers, field social workers, PMKS beneficiaries, and community stakeholders. The results indicate that the Jalak Wadul Mas program has successfully served 45,678 PMKS across 38 districts/cities in East Java, with a 78% complaint resolution rate and average response time of 3 working days. The program integrates multiple services, including emergency assistance, rehabilitation referrals, skills training, and economic empowerment. Key success factors include strong leadership commitment, adequate technology infrastructure, and collaborative networks with community organizations. Challenges remain in human resource capacity, internet connectivity in remote areas, and cross-sectoral coordination. This study recommends strengthening digital literacy training for beneficiaries, expanding mobile service units, developing real-time monitoring dashboards, and establishing sustainable funding mechanisms.

Women's empowerment at the village level is a strategic step in strengthening household economics, especially in transitional areas such as Sunggu Manai Village, Pattallassang District. The main problems faced by partners are low productive skills and a lack of financial literacy, leading to economic dependence and vulnerability to illegal lending schemes. This community service activity aims to increase women's economic capacity through technical skills training and financial management. The method used is Asset-Based Community Development (ABCD) with stages of socialization, hardskill training (making processed products), and financial literacy workshops (cash management and investment awareness education). The results of the activity showed an increase in participants' knowledge by 45% based on pre-test and post-test scores. Furthermore, participants were able to manufacture products with marketable packaging standards and gained a new understanding regarding the separation of business cash from domestic cash. The conclusion of this activity is that the integration of practical skills and financial intelligence can encourage women's economic independence and create more sustainable family financial resilience.

Women's empowerment at the village level is a strategic step in strengthening household economics, especially in transitional areas such as Sunggu Manai Village, Pattallassang District. The main problems faced by partners are low productive skills and a lack of financial literacy, leading to economic dependence and vulnerability to illegal lending schemes. This community service activity aims to increase women's economic capacity through technical skills training and financial management. The method used is Asset-Based Community Development (ABCD) with stages of socialization, hardskill training (making processed products), and financial literacy workshops (cash management and investment awareness education). The results of the activity showed an increase in participants' knowledge by 45% based on pre-test and post-test scores. Furthermore, participants were able to manufacture products with marketable packaging standards and gained a new understanding regarding the separation of business cash from domestic cash. The conclusion of this activity is that the integration of practical skills and financial intelligence can encourage women's economic independence and create more sustainable family financial resilience.

One of the most common occupational health risk factors found in industrial areas is noise, and long-term exposure ≥85 dB(A) for more than 8 hours has the potential to cause progressive and permanent Noise-Induced Hearing Loss (NIHL). The risk of NIHL increases if workers do not use Ear Protection Equipment (APT) optimally and have certain individual factors such as age, working period, and length of exposure. This study aims to determine the relationship between the use of APT and worker factors with hearing loss due to noise in PT HMK II Palembang City in 2025. This study uses an analytical quantitative design with a cross sectional approach. A sample of 55 respondents was selected through purposive sampling technique. Data was collected using a questionnaire and analyzed by chi-square test. The results showed that there was a significant relationship between the use of APT (p=0.000) and there was no significant relationship between, the age of workers (p=0.838), working time (p=0.290), and length of work (p=0.172) and noise-induced hearing loss. The use of APT has been shown to be associated with a reduced risk of noise-induced hearing loss, although age, length of employment, and length of work did not show a significant relationship.

This research explores the impact of Cache Aware optimizations on signal processing pipelines in High Throughput computing systems. The growing demand for efficient memory management in modern computing systems, especially for data-intensive applications such as artificial intelligence (AI) and multimedia processing, necessitates the development of optimized memory hierarchies. Traditional memory systems often suffer from memory bottlenecks, significantly reducing the performance of these systems. This study investigates how memory hierarchy optimizations, particularly cache line aware optimization, dependency-aware caching, and adaptive cache replacement algorithms, can mitigate these challenges and improve system performance. Through analytical modeling and experimental benchmarking, this work evaluates various memory hierarchy configurations, including processing-in-memory (PIM) and three-dimensional integrated circuits (3D ICs), comparing them to conventional systems. The results demonstrate that Cache Aware optimizations lead to a reduction in memory access latency by up to 30%, while throughput improved by up to 40%. Additionally, cache hit rates increased by 25%, and energy consumption was reduced by up to 20%, highlighting the effectiveness of optimized memory management. The research contributes to the field by providing valuable insights into the design and implementation of efficient signal processing pipelines. It also identifies key challenges, including the need for dynamic occupancy mechanisms and DAG-aware scheduling algorithms, and suggests potential areas for future research, such as the exploration of collaborative caching approaches and further optimization of cache-adaptive algorithms. This work lays the foundation for more efficient, high-performance computing systems that can handle large datasets and complex tasks in real-time applications.

Human trafficking constitutes a transnational crime that inflicts physical, psychological, and economic suffering upon its victims. This research aims to analyze the fulfillment of restitution rights for victims of human trafficking and examine preventive efforts from the immigration perspective. According to Law Number 21 of 2007 concerning the Eradication of Human Trafficking, every victim has the right to restitution as compensation for losses suffered. However, implementation in practice still encounters numerous obstacles, including weak law enforcement, limited understanding among law enforcement officers, and insufficient technical regulations. This normative legal research employs statutory and conceptual approaches to examine primary legal materials, including Law Number 21 of 2007, Law Number 6 of 2011 on Immigration, and various implementing regulations. The findings indicate that legal protection for victims of human trafficking has not been optimal, with challenges including difficulties in proving immaterial losses, dual procedural systems between the Human Trafficking Law and Criminal Procedure Code, and weak coordination among law enforcement agencies. The Witness and Victim Protection Agency (LPSK) often cannot guarantee restitution payments as determined by judges. From the immigration perspective, the Directorate General of Immigration plays a strategic role in preventing human trafficking through travel document control, implementation of the Integrated Border Control Management (IBCM) system, education for prospective migrant workers, and cross-sectoral collaboration. However, challenges persist, including complex and evolving modus operandi, limited resources in remote border areas, and inter-agency coordination obstacles. The study concludes that synergy between institutions and improvements in education and regulation are required to ensure victims' restitution rights are fulfilled effectively.  

Drug abuse and risky social behavior remain significant social issues among adolescents, particularly in rural areas experiencing rapid information exposure and lifestyle changes. This community service program aimed to enhance adolescents’ awareness and resilience toward the dangers of drug abuse (NAPZA) while promoting a healthy lifestyle through the cultivation of family medicinal plants (TOGA) in Karangmalang Village, Ngawi Regency. The program employed a participatory descriptive approach, actively involving adolescents as the primary beneficiaries. The implementation consisted of two main stages: interactive socialization on drug abuse and risky behavior, and a workshop on cultivating medicinal plants as a form of community-based healthy living practice. The results indicated that the socialization activities improved adolescents’ understanding and awareness of drug abuse risks, as reflected in their active participation during discussions. Furthermore, the TOGA cultivation workshop provided practical benefits by introducing simple herbal remedies and offering positive, sustainable activities for the community. Overall, the integration of educational and practical approaches proved effective as a preventive and empowerment strategy to strengthen adolescent resilience and foster a healthier and more productive village environment.

Crime, an unlawful act that contradicts ethics and norms, has now become a primary factor for the police in Lampung province. This presents a challenge for the police institution in predicting high crime rates. However, there are still many crimes that have not become the main focus of problem-solving at the Lampung Regional Police.This research aims to identify the types and criminal acts of crime with the highest recorded incidence in a crime dataset by performing classification using the Naïve Bayes algorithm. The data was obtained from investigators at the Directorate of General Criminal Investigation of the Lampung Regional Police, with a total of 12,034 JTP (Total Criminal Acts) and 7,518 PTP (Crime Resolution) data points for each type of crime, distributed across the Regional Police, City Police, and District Police throughout Lampung province. The classification process using the Naïve Bayes algorithm reveals the relationship between the work unit (Satker) and the type of crime handled, thereby identifying crime patterns based on the location where they are handled. The results of the research, which involved converting numerical data into binomial (binary) form using the "Numerical to Binominal" feature in Rapid miner, show that the analysis and modeling process, especially in algorithms like Naïve Bayes or decision trees, is more effective when using data in a binary format. Thus, the initial dataset can be visualized in the form of a , with the size of the text varying according to the level of each high-incidence crime; the larger the text, the more frequently or significantly the crime occurred or was reported. The application of this method can help in identifying patterns, dominant trends, and areas of focus for more targeted law enforcement efforts or crime prevention policies.

Mining operations rely heavily on the performance and reliability of heavy equipment used in the production process. One of the most important hauling units in open-pit mining is the dump truck, which functions to transport overburden and coal from the mining front to disposal areas. Due to high operational intensity, dump trucks require effective maintenance management to ensure equipment reliability and reduce unexpected downtime. However, maintenance activities are often carried out based only on routine service schedules without analytical planning based on historical data. This study aims to analyze the implementation of forecasting methods in maintenance management to improve the effectiveness of dump truck maintenance planning in mining operations. The research was conducted during field work practice at PT Putra Perkasa Abadi Jobsite BIB, Tanah Bumbu, South Kalimantan. The data used were historical maintenance records of dump truck units obtained from the maintenance department. The research method used a quantitative approach with time series forecasting analysis to identify maintenance patterns and estimate future maintenance needs. The results show that forecasting-based maintenance planning can help companies predict maintenance requirements more accurately and prepare maintenance resources more efficiently. Furthermore, the implementation of forecasting methods can reduce unexpected equipment failures and support operational efficiency in mining activities.

The integration of Information and Communication Technology (ICT) and tools like Canva has revolutionized English Language Teaching (ELT) in Indonesia, shifting from traditional methods to interactive, student-centered approaches. This study aims to explore the benefits and challenges of incorporating these technologies into ELT practices. Employing a qualitative literature review methodology, the research analyzed over 20 empirical studies from 2020 to 2023 on Canva and ICT in Indonesian ELT, supplemented by global Computer-Assisted Language Learning (CALL) frameworks. Key findings reveal that ICT and Canva enhance student motivation, creativity, and communicative skills through multimodal and constructivist learning, while fostering authentic language exposure and collaboration. However, challenges include inadequate infrastructure, limited teacher training, digital inequities between urban and rural areas, ethical issues such as copyright infringement, and increased teacher workload. The implications underscore the need for systematic professional development, institutional support, curriculum alignment, and policies promoting equitable access to ensure transformative and sustainable technology integration in Indonesian ELT.  

The quality of complementary feeding (MP-ASI) for infants aged 6–23 months is a key factor in supporting growth and preventing early nutritional problems. However, MP-ASI practices that do not comply with recommendations are still common, especially in areas with limited access to nutrition information and education. One of the promotive-preventive efforts developed in primary health care is the implementation of toddler classes. This study aims to analyze the effectiveness of toddler classes in improving the nutritional quality of infants receiving MP-ASI in the working area of the Popayato Timur Community Health Center. This study used a quasi-experimental design with a one-group pretest–posttest approach. The study sample consisted of 33 infants aged 6–23 months selected using a total sampling technique. Data were collected through infant anthropometric measurements to assess nutritional status based on indicators of weight for age (BW/A) and weight for length/height (BW/H), as well as assessing the quality of MP-ASI using quality scores before and after the intervention. Data analysis was carried out descriptively and inferentially using paired statistical tests. The results showed an increase in the quality of complementary feeding (MP-ASI) after the implementation of toddler classes, accompanied by improvements in infant nutritional status based on indicators of weight for age and weight for height, with a statistically significant difference between conditions before and after the intervention. In conclusion, toddler classes are effective in improving the quality of complementary feeding and infant nutritional status, thus potentially being an applicable educational strategy in efforts to improve infant nutrition in primary health care.

L House is a house design that is shaped like the letter "L". This distinctive configuration offers flexibility in spatial arrangement and creates an interesting interaction between interior and exterior areas. L House by 022Studio is a work that combines modern aesthetics with traditional values and sustainability. Through a descriptive criticism method involving interviews with architects, literature studies, and analysis of design elements, this study aims to reveal the strengths and challenges in the application of modern design in a tropical context. L House successfully integrates space with nature through the use of local materials, flexible spatial layouts, and building orientations that optimize natural lighting and ventilation. In addition, this design also makes a significant contribution to the development of modern architecture in Indonesia by demonstrating that modern buildings can be adapted to local cultural and environmental contexts. L House is a good example of sustainable architecture that can inspire similar projects in the future.

Empowering agricultural human resources is a strategic approach to support sustainable agricultural development and the achievement of the Sustainable Development Goals (SDGs), particularly SDG 2 (Zero Hunger), SDG 4 (Quality Education), and SDG 8 (Decent Work and Economic Growth). This community service article aims to describe the implementation of an agricultural instructor empowerment training program conducted through collaboration between Universitas Negeri Surabaya (Unesa) and the Ngudi Luhur Self-Reliant Agricultural and Rural Training Center (P4S) in Blitar Regency. The activity involved approximately 50 participants consisting of agricultural instructors and local agricultural practitioners. The methods included Focus Group Discussions (FGDs) and field visits to superior corn cultivation areas managed by P4S. The results indicate an increase in participants’ understanding of the importance of agricultural innovation and technology utilization to enhance productivity, supported by experiential learning through direct observation of high-yield corn fields compared to conventional practices. This program strengthens the role of agricultural instructors as innovation dissemination agents and contributes to the achievement of sustainable development goals in the agricultural sector.

It is very important to teach young people to become entrepreneurs, especially in rural areas that have local economic potential but have not been properly managed. The purpose of this community service activity is to increase the awareness, knowledge, and entrepreneurial skills of Karang Taruna youth in Sukatani Village, Banyuasin Regency. The community service program was designed using a participatory approach, which included entrepreneurship workshops, digital marketing training, identifying business opportunities based on local resources, and obtaining assistance to develop simple business plans. Interactive lectures, group discussions, practical simulations, and participant comprehension assessments were all methods used to implement the methodology. The results of the activities showed a significant increase in participants' knowledge of basic entrepreneurship concepts. They also became more capable of analyzing and identifying local business opportunities and acquired practical skills to market products through various digital platforms. Participants also showed increased motivation and confidence to start their own businesses. This program demonstrates that entrepreneurship education can help rural youth improve their lives, promote economic independence, and support sustainable local economic growth. It is hoped that these findings will serve as a model for implementing similar programs in other rural areas.

Income inequality and poverty continue to be major challenges in Indonesia's industrial areas, especially in DKI Jakarta, West Java, and Banten, although minimum wage policies continue to be developed as a form of protection for low-income workers. These policies theoretically serve as an instrument for income redistribution and improvement of labor welfare, but their effectiveness in reducing inequality and reducing poverty rates is still questionable, especially in areas with highly industrialized economic structures. This study aims to analyze the influence of income inequality, poverty rate, economic growth, and unemployment rate on the dynamics of the provincial minimum wage in the 2016–2023 period. The study used secondary data obtained from the Central Statistics Agency and analyzed using panel data regression to obtain a comprehensive empirical picture of the factors determining the minimum wage. The test results show that the Fixed Effect Model is the most suitable model for capturing variations between provinces and between times. Key findings reveal that poverty levels and economic growth have a significant influence on changes in the minimum wage, while income inequality and unemployment rates have no significant influence. The conclusion of the study emphasizes that the minimum wage policy is not effective enough in reducing income inequality and reducing poverty without the expansion of the formal sector, improving the quality of the workforce, and distributing economic growth more evenly between industrial areas.

This study aims to evaluate the effectiveness of the implementation of the marketing mix in SMEs in the laundry service sector, focusing on the 7P elements: product, price, promotion, place, process, people, and physical evidence. The research uses a descriptive qualitative method with data collection techniques including interviews, observations, and documentation with laundry business owners. The results show that a diverse range of services, competitive pricing, strategic location, and structured work processes contribute to the sustainability of the business. However, challenges such as unpredictable weather, timeliness, limited facilities, and suboptimal promotion still pose barriers to improving service quality. The findings highlight the importance of strengthening digital promotion, modernizing equipment, and improving the accuracy and consistency of human resources (HR) to enhance the effectiveness of the marketing mix. With improvements in these areas, laundry SMEs can enhance their competitiveness and provide better service to customers, thus strengthening their position in a competitive market.

Artificial Intelligence (AI) has become a significant driver of innovation in the banking sector, especially in the context of post-pandemic digital transformation. AI is widely utilized in areas such as fraud detection, credit evaluation, risk management, and customer interaction, attracting considerable interest from both academics and industry professionals. This research explores the recent advancements in AI within the banking industry, focusing on studies published between 2020 and 2025. A bibliometric approach is employed, using data from the Scopus database and bibliometric tools like VOSviewer and R Studio to visualize keyword networks and track emerging trends. The study aims to identify influential authors, journals, and countries contributing to AI research in banking. By analyzing these developments, the research highlights the contributions of AI to improving operational efficiency, data security, and financial inclusion, particularly in the Indonesian context. This work offers valuable insights into the ongoing integration of AI in the banking sector and its potential to shape future financial services, emphasizing its relevance to both global and regional markets.

The disparity in the quality of rehabilitation services across regional work units presents a significant challenge to effective public management. This study aims to bridge the gap between problem diagnosis and policy prediction by proposing a hybrid, data-driven approach. We integrate K-Means Clustering to map the current state of service quality and Stochastic Simulation to predict the impact of strategic interventions. Using the 2024 Public Satisfaction Index (IKM) dataset from the National Narcotics Agency (BNN), the K-Means algorithm initially identified 26 work units (15.7%) in the "Red Zone" (critical performance), highlighting urgent areas for improvement. Next, a stochastic simulation modeling a "Directed Priority Intervention" scenario was run. The results predicted a significant structural shift in the distribution of service quality, characterized by an 80.8% decrease in critical units (down to 5 units) and a 71.8% increase in excellent performing units (up to 67 units). These findings validate that the integration of clustering and simulation provides a comprehensive framework for evidence-based decision-making, enabling policymakers to optimize resource allocation and efficiently accelerate national service standardization.