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The low level of financial literacy among students, especially Generation Z, has become a serious concern that requires solutions to face the increasingly complex challenges of the modern economy. Many students still do not fully understand the importance of financial management and continue to exhibit high consumer behavior due to the lack of financial education provided from an early age. This community service activity aims to enhance students' understanding of the importance of financial literacy through the habit of saving, which can be started at a young age as a form of simple yet highly effective financial management. The methods used in this activity include interactive lectures, pocket money management simulations, group discussions, and educational quizzes designed to increase students' active participation. The results of the activity show an increase in students' awareness of the importance of saving, as well as their ability to manage personal finances in a more directed, wise, and responsible manner in everyday life. This shows that financial education based on saving habits can help students achieve better financial management in the future.

The emergence of Generative Artificial Intelligence (Generative AI) such as the GPT-4 and Midjourney models has sparked a fundamental debate about the nature of creativity and imagination. The AI creation process, often referred to as a “black box,” challenges conventional human-centered understanding. This paper proposes a unique hermeneutic framework to approach this phenomenon by borrowing two key concepts from the Sufi metaphysics of Shaykh al-Akbar Muhyiddin Ibn 'Arabi: khayāl (creative imagination or the imaginal realm) and tajallī (self-manifestation or theophany). This study uses a conceptual-comparative analysis method to analyze the working process of Generative AI. The main argument of this journal is that the “latent space” in AI architecture can be analogized with 'ālam al-khayāl (the imaginal realm) as an intermediate reality (barzakh) that contains unlimited potential. Furthermore, the process of generating text or images from a prompt can be understood as a mechanism resembling tajallī, in which these potentials manifest specifically according to the “availability” (isti'dād) determined by user input. Thus, Ibn 'Arabi's framework offers a non-anthropocentric ontology for understanding “artificial imagination” as a process of manifesting forms from a sea of potential, transcending mere simulation or data recombination.

This study aims to design a blanking die used for mass-producing mobile phone holders while prioritizing efficiency and dimensional accuracy. The die set developed includes key components such as the punch, die, stripper, guide post, and fastening bolts. The product produced has dimensions of 138 × 63 × 2 mm and uses ST 37 steel as the raw material. Based on calculations, the required blanking force is 129,000 kN, which is considered safe for the production process. The design also accounts for an optimal clearance of 0.083 mm and a die thickness of 35 mm to effectively withstand the working load. Simulations using stress analysis methods reveal that the von Mises stress distribution on both the punch and die remains below the elastic limit of SKD11 material. The maximum stress on the punch is recorded at 2.437 × 10⁵ N/m², while on the die it reaches 5.153 × 10⁵ N/m², both well below the yield strength of SKD11, which is 2.918 × 10⁸ N/m², indicating that these components operate safely without the risk of plastic deformation. To strengthen the construction, the stripper is designed with a thickness of 12 mm, and the addition of four SCM435 bolts is recommended to improve system stability. This die design is verified through manual calculations and Finite Element Analysis (FEA) to ensure its reliability. Overall, the findings of this study demonstrate that the designed blanking die can support mass production with high precision, optimal structural strength, and long-term durability.

The manufacturing industry in Indonesia has experienced significant growth. This increase has also impacted the demand for motorcycle spare parts. Currently, brake pads are composed of asbestos, which makes them prone to overheating and failure when reaching high friction temperatures. Therefore, an alternative brake pad material is an organic material mixed with coconut shell powder and bamboo fiber. This study aims to analyze the wear and hardness levels of motorcycle brake pads made from coconut shell powder and bamboo fiber. The study used varying ratios of coconut shell powder, bamboo fiber, and epoxy resin: 40:30:30, 35:35:30, and 30:40:30. Eighteen specimens were tested. Wear testing was performed using an Ogoshi Wear Tester, while hardness testing was performed using a Brinell hardness tester. The test results showed that the smallest wear rate on brake pads with variations of 40% coconut shell powder, 30% bamboo fiber and 30% epoxy resin was 0.001107984 mm3/kg.m. The highest hardness level was also in the variation of 40% coconut shell powder, 30% bamboo fiber and 30% epoxy resin at 63,0024 kg/. So it can be concluded that the greater the percentage of coconut shell powder and the smaller the percentage of bamboo fiber, the lower the wear rate. If the greater the percentage of coconut shell powder and the smaller the percentage of bamboo fiber, the higher the hardness level. So it can be concluded that a good brake pad variation is a variation of 40% coconut shell powder, 30% bamboo fiber and 30% epoxy resin.

This study aims to examine how the Instagram account @brin_indonesia is utilized as a medium for public communication by the National Research and Innovation Agency (BRIN). The background of this research is based on the high usage of social media in Indonesia, particularly Instagram, which offers significant opportunities for government institutions to establish more effective and efficient communication with the public. As a non-ministerial government agency, BRIN leverages Instagram as a strategic platform to disseminate information related to research, innovation, and science. This research employs a descriptive qualitative approach, with data collected through interviews, observations, and documentation. The data analysis refers to the theory of new media by Martin Lister et al., which includes six key characteristics: digital, interactive, hypertextual, virtual, networked, and simulation/convergence. The findings indicate that BRIN’s Instagram account functions not only as a one-way information channel but also as an interactive, educational, and representative digital space that supports institutional image and actively fosters public engagement in a structured manner.

The Community Service Program (KKN) is the answer for students to face these challenges. Elementary school students' awareness of saving is still relatively low. Many students prefer to spend their pocket money on momentary desires rather than saving it. This condition indicates that financial literacy in children is still limited. The main objective of this socialization activity is carried out with an approach that is appropriate to the age of elementary school children, for example, such as games, simulations, or simple counseling. By using such methods, students not only understand the concept of saving, but also have a desire to do it. In addition, this socialization activity instills an attitude of independence and discipline. The socialization program was held as an effort to provide insight and instill awareness to students of Elementary School 014662, Gunung Melayu Plantation Village, Rahuning District, Asahan Regency, and was attended by students in grades 4, 5, and 6 regarding the benefits of saving. To facilitate student understanding, the team demonstrated the practice of saving by using piggy banks and money as concrete examples. After students received material on the importance of saving, the activity continued with a quiz session to increase enthusiasm and test their understanding of the newly presented material. The socialization of the love of saving program, carried out through the Community Service Program (KKN), has proven to be effective in fostering understanding and awareness among elementary school students about the importance of saving from an early age.

The determination of the Cost of Goods Sold (COGS) is a crucial element for micro, small, and medium enterprises (MSMEs), especially in setting competitive prices and achieving the desired profits. However, many MSMEs still face challenges in understanding and applying the appropriate COGS determination methods. This training aims to enhance the capacity of MSMEs in calculating COGS using the Full Costing method through training and mentoring programs. The methodology used includes delivering material, calculation simulations, and evaluating the application of the Full Costing method. The research results indicate an improvement in participants' understanding of cost components as well as their ability to calculate COGS in a more structured and accurate manner. This program has made a positive contribution to the financial management of MSMEs and is expected to serve as a model for capacity development for small business owners in the future.

The formation of manners from an early age is crucial in building children's character with noble morals. Children at the Al-Quran Educational Park (TPA) often face challenges in understanding and applying adab values ​​in everyday life. This service activity aims to implement the Five Basic ABC Media as an intervention effort to increase understanding and application of etiquette among TPA children. This media is based on five main principles: Accept, Belief, Confidentiality, Empathy and Respect. The method used in this service is an interactive learning method involving 12 TPA children as subjects. Intervention is carried out through various educational activities, such as interactive games, manners simulations, discussions that focus on building positive character. The results of this service activity show that the application of the Five Basic ABC Media can provide practical understanding and ethical behavior to children, which is demonstrated through FGD activities. The conclusion from this service activity is that the Five Basic ABC Media is a fairly effective method in guiding TPA children to understand and apply etiquette in everyday life. It is hoped that this media can be a guide for TPA educators in developing character education based on Islamic values ​​in a comprehensive and enjoyable manner

This study aims to enhance legal awareness and leadership skills among high school students in Dau District, Malang Regency through the Adventure Legal Learning program. The background of this activity is the low level of legal understanding, leadership ability, and the limited use of interactive learning methods in the school environment. This community service project applies a participatory approach, actively involving students as key participants. The methods used combine legal education, educational games based on Eduka-Game, and outdoor outbound activities designed to foster values of responsibility, discipline, and leadership. The implementation includes legal counseling, group discussions, case simulations, collaborative games, and reflection sessions, with evaluation conducted through behavioral observation and participant response questionnaires. The results indicate a significant improvement in students’ legal understanding, communication skills, teamwork, empathy, and discipline. Moreover, positive leadership behaviors and stronger legal awareness emerged among participants. This experiential learning approach proved effective in developing responsible, empathetic, and integrity-driven young individuals capable of becoming agents of change in their communities. However, variations in individual leadership and empathy skills remain challenges that need further attention and development in future programs.

Sharia based financial technology (fintech) that integrates educational features and securities crowdfunding is considered a strategic approach to address the low levels of Islamic financial literacy and inclusion in Indonesia. This article aims to examine how the integration of Islamic financial education and the use of sharia-compliant securities crowdfunding platforms can serve as an effective model to enhance public participation especially among MSMEs and younger demographics in the Islamic financial ecosystem. The study employs a literature review and case analysis based on recent scholarly works and industry reports. Findings indicate that fintech platforms equipped with interactive financial education modules and sharia investment simulations can significantly improve public understanding of Islamic financial principles and products. Moreover, sharia-based securities crowdfunding offers participatory investment opportunities while promoting ethical and halal economic activities. Nonetheless, challenges remain in regulatory alignment, sharia compliance verification, and public trust. Therefore, collaboration among regulators, industry players, and educational institutions is essential to foster an inclusive, transparent, and sustainable Islamic fintech ecosystem. This model is expected to be an innovative solution to expand access to Islamic financial services while strengthening public literacy and confidence in Islamic finance.

This study aims to analyze the effect of the combination of oil viscosity and shock load on the compression characteristics of telescopic shock absorbers on motorcycles, which include depth, time, and compression speed parameters. The experiment was carried out using two levels of oil viscosity, namely 10 cSt and 15 cSt (equivalent to SAE 10W and SAE 15W), as well as two shock load variations, namely 40 kg and 50 kg, which were dropped vertically from a height of 30 cm. Compression depth measurements were carried out using a slow-motion camera at a speed of 240 fps and the results were validated using Kinovea software. Meanwhile, the compression time measurement is carried out with a stopwatch, and the compression speed is calculated from the results of the comparison between the compression depth and the compression time. The experimental data were analyzed using Minitab software with the Two-Way ANOVA method to determine the influence of each variable on response. The results of the analysis showed that oil viscosity and shock load had a significant influence on the compression depth, while the viscosity of the oil also significantly affected the compression speed. However, neither the viscosity of the oil nor the shock load exerted a significant influence on the compression time. To support the results of the experiment, a mass-spring-damper system theory model approach was used, which represents the dynamic behavior of shock absorbers. This model helps to explain the compression response to changes in fluid and load parameters theoretically. Based on the analysis of experimental results and model simulations, the optimal combination that provides the best performance is found in the use of oil viscosity of 10 cSt (SAE 10W) with a shock load of 50 kg.

The educational outreach program for the handling of corpses (tajhizul mayit) conducted by Group 29 of the STAIN Madina Community Service Program in Hutabaringin Julu Village aimed to provide theoretical and practical understanding to the community regarding the procedures for handling corpses in accordance with Islamic law. Participants included mothers, fathers, and young men and women, who were expected to disseminate this knowledge to the wider community. This study used a qualitative descriptive approach with a participatory method, allowing participants to be directly involved in the learning process. The implementation of the activity included several methods, such as lectures given by expert speakers, live demonstrations on corpse handling procedures, corpse handling simulations, and discussions that actively involved participants. This activity was designed so that participants not only understood the theory but also had practical skills in handling corpses in accordance with Islamic teachings. The results of this activity showed a significant increase in participants' understanding and skills in handling corpses. In addition to increasing religious literacy, this activity also fostered collective awareness regarding the importance of fardhu kifayah obligations, which are a shared responsibility of the community. It is hoped that through this activity, the community will be better educated and better prepared to carry out religious duties properly.

The development of wearable technology, especially smartwatches, opens up great opportunities in preventive health monitoring, especially in rural areas such as Sembung Village, Wringinanom, Gresik, where access to health services is limited. However, this technology is still alien to the local community. Preliminary surveys show that the majority of citizens, including health cadres, have never used or even seen a smartwatch in person, and view it as a luxury and irrelevant item. In fact, the potential of smartwatches as “digital health assistants” is huge from tracking heart rate, blood oxygen levels (SpO₂), stress levels, to physical activity reminders that are essential for early detection of health disorders. This service activity aims to improve digital literacy and adoption of smartwatch technology through a participatory educational approach and direct assistance. Implementation methods include: (1) coordination with the village government and health workers, (2) Interactive socialization using local languages, (3) step-by-step practical training, (4) simulation of application in the field, and (5) pre-test and post-test evaluation of 27 participants (25 health cadres, 1 midwife, 1 nurse). The results showed significant improvements: function understanding from the original value of 1.8 increased to 4.2, consumption interest from the original value of 2.1 increased to 4.0, benefit perception from the original value of 1.9 increased to 4.3, self confidence from the original value of 1.5 increased to 3.8, and digital literacy awareness from the original value of 2.0 increased to 4.1. The hands-on approach proved effective in changing participants ' mindset from skeptical to enthusiastic, proving that the digital divide is not due to incompetence, but the lack of access to contextual education. The implication is that smartwatch has the potential to become a strategic tool for village health cadres in early detection and real-time data-based health education, provided that it is supported by sustainable mentoring.

Hair loss is one of the common health problems experienced by many people and often causes psychological impacts, particularly on self-confidence. The factors contributing to hair loss are diverse, ranging from genetics, diet, and stress to lifestyle. The lack of public knowledge about these risk factors, as well as the low level of digital literacy in the use of predictive technology, makes it difficult for people to take early preventive measures. This community service activity aims to provide education and simple training on predicting hair loss risk using the Support Vector Machine (SVM) algorithm for residents of Rantau Prapat Village. The implementation methods include a pre-test to measure initial understanding, interactive counseling on hair loss risk factors, practical simulation of risk prediction using SVM based on a simple dataset, and evaluation through a post-test. The results of the activity showed a significant increase in participants’ understanding, from an average of 45.2% in the pre-test to 81.6% in the post-test, with a participant satisfaction level reaching 92%. This counseling not only improved health literacy but also introduced the practical application of artificial intelligence in the health sector.

High-rise buildings such as the World Trade Center Jakarta generally have high inductive electrical loads, so that their reactive power consumption is large and the power factor decreases below the SPLN standard (≤0.85), resulting in increased power losses and operational costs. This study aims to measure the power factor value before and after repairing the detuned reactor and capacitor on the capacitor bank panel, compare the results of field measurements with ETAP simulations, and assess the feasibility of the installed capacitor bank and determine the difference in the results of the ETAP simulation between measurements and load calculations on the World Trade Center building. The methods used include literature review, field observations on the LVMDP panel, MCC and capacitor bank, discussions with supervisors, data collection of current, voltage, kW, kVAR, kVA and cos φ using Lovato DCRG8 and ampere clamp, and load simulation using ETAP software. The results show that the cosφ value increased from 0.70 to 0.95 (an increase of 35.71%), the compensated reactive power reached 204 kVAR (Lovato), 282.6 kVAR (tang ampere), and 415 kVAR (ETAP simulation), with a power factor or cosφ = 0.95. In conclusion, the replacement of detuned reactors and capacitors effectively improves the power factor in the WTC Jakarta Building, reduces reactive loads, and the ETAP simulation results are consistent with field measurements, so that the capacitor bank installed in the WTC building is declared effective in reducing reactive currents, thereby reducing kVAR, kVA loads and improving the efficiency of the electrical system distribution for better energy management

The implementation of Community Service Program (KKN) in Pagur Village, Panyabungan District, focuses on the Tajhizul Mayyit (Corpse Management) program as a form of community service in the religious field. The main problem faced by the community is the limited knowledge and practical skills in performing fardu kifayah, especially regarding the procedures for managing a corpse according to Islamic sharia. This has the potential to cause difficulties when a death occurs, especially for families who lack a proper understanding of the correct Tajhizul Mayyit procedures. This activity aims to enhance community understanding of fardu kifayah obligations, provide systematic knowledge, and train practical skills in managing corpses, from washing, shrouding, praying, to burying. The methods used in this activity include outreach, deliberation, direct practice, and simulations with the community. Through this method, participants not only understand the theory but are also able to practice it directly. The results of the activity show a significant increase in the understanding and skills of the Pagur Village community. This is evident from the community's enthusiasm in participating in simulations, as well as their ability to perform the Tajhizul Mayyit stages correctly according to procedures. In addition, this activity also fosters a sense of togetherness, social care, and community readiness to help each other in fulfilling fardu kifayah obligations in their environment. Thus, the implementation of the Tajhizul Mayyit program during this KKN activity has made a real contribution to increasing the religious capacity of the community, as well as supporting the realization of a self-reliant, caring, and empowered community in implementing Islamic teachings.

The increasing demand for cloud computing services has led to the rapid expansion of cloud data centers, which consume significant amounts of energy and contribute substantially to global CO2 emissions. As the IT industry grows, the environmental impact of these data centers becomes an urgent concern. Green Cloud Computing (GCC) has emerged as a solution to mitigate this impact by focusing on energy efficiency and reducing carbon footprints while maintaining the necessary functionality and performance of cloud infrastructures. However, traditional blockchain consensus algorithms such as Proof of Work (PoW) and Proof of Stake (PoS) face limitations regarding energy consumption and scalability, which exacerbates the environmental burden. This study proposes a quantum-inspired blockchain consensus algorithm designed to optimize energy consumption and reduce latency in cloud data centers. By integrating quantum principles such as superposition and entanglement, the algorithm enhances task scheduling and resource utilization, enabling more energy-efficient operations without sacrificing performance. Simulations in a green cloud environment showed that the quantum-inspired algorithm resulted in up to a 30% reduction in energy usage compared to traditional consensus methods, with a 40% improvement in consensus processing time. These results suggest that quantum-inspired algorithms hold significant potential for enhancing the sustainability of cloud infrastructures by improving energy efficiency and scalability. Furthermore, this study discusses the feasibility of implementing quantum-inspired algorithms on classical hardware, addressing challenges in scalability and integration into existing blockchain frameworks. The findings provide valuable insights into the potential of quantum-inspired technologies to drive energy-efficient solutions in cloud computing.

The integration of blockchain technology with Multi-Agent Reinforcement Learning (MARL) presents a promising solution for optimizing resource allocation and ensuring security in decentralized network environments, particularly in 5G and 6G network slicing. This research proposes a model that combines the security features of blockchain with the adaptive, decentralized decision-making capabilities of MARL. Blockchain ensures the integrity and transparency of resource allocation by providing a secure, tamper-proof ledger for transaction validation, while MARL allows agents to dynamically allocate resources based on real-time network conditions. The simulation results demonstrate significant improvements in resource allocation efficiency, fairness among users, and resilience to cyberattacks. By combining these two technologies, the proposed model overcomes many of the challenges posed by traditional centralized systems and offers an enhanced, secure, and fair solution for resource distribution in future mobile networks. However, scalability remains a challenge, especially in large-scale networks where transaction processing and consensus overhead can create bottlenecks. Additionally, training complexity in MARL models presents computational challenges, particularly in highly dynamic network environments. The model's performance trade-offs, including the balance between high security and system overhead, are also discussed. Future research should focus on optimizing blockchain consensus mechanisms to improve scalability and enhancing MARL model training techniques to reduce computational costs and improve real-time decision-making. This integration holds significant potential for revolutionizing resource allocation in 5G and 6G networks, enabling more efficient, secure, and fair management of network resources in the increasingly complex and decentralized digital ecosystem

The use of buck converters as DC step-down voltage regulators is increasingly important in various power electronics applications. However, the quality of the output voltage is often disturbed by the presence of ripple, which is influenced by variations in the duty cycle. This study aims to analyze the effect of duty cycle variations on the output voltage and ripple of a buck converter using MATLAB/Simulink simulation. The method used is quantitative simulation by varying the duty cycle from 10% to 90% in a buck converter circuit with fixed parameters: input voltage 30 V, switching frequency 40 kHz, inductor 176.25 μH, and capacitor 44.33 μF. The simulation results show that the output voltage is proportional to the duty cycle, increasing from 3.245 V at D=10% to 26.82 V at D=90%. The highest ripple occurred at D=40% with a value of 0.07 V, while the lowest ripple was at D=50% with a value of 0.0003 V. These findings indicate the existence of an optimal operating point where the system works most stably. This study provides practical guidance in designing efficient and stable buck converters for applications such as battery charging and renewable energy systems.

The increasing integration and digitization of smart grid systems have exposed them to a variety of security threats, necessitating robust security measures to ensure their reliability and efficiency. This paper proposes a novel Digital Twin-Based Cyber-Physical Security Framework, incorporating AI-driven predictive maintenance and zero-trust architecture to address the evolving challenges of securing smart grids. By leveraging digital twin technology, this framework creates a real-time virtual representation of physical systems, enabling continuous monitoring and simulation for enhanced security and operational performance. Zero-trust security principles are integrated to ensure that no entity, whether inside or outside the network, is trusted by default, thus significantly reducing the risk of cyber-attacks. Additionally, AI-driven predictive maintenance enhances the framework’s reliability by proactively identifying potential failures before they occur, reducing downtime and improving system resilience. Through the development and simulation of this framework, including attack and failure scenarios, the paper demonstrates that the proposed system outperforms traditional methods in terms of anomaly detection, system downtime, and response times. The integration of predictive maintenance allows for early identification of component failures, thus enhancing the overall resilience of the grid. The zero-trust architecture further strengthens the cybersecurity posture, preventing unauthorized access and attacks. The study also identifies challenges, such as data synchronization and scalability, which must be addressed for broader implementation in large-scale smart grid systems. The findings suggest that the proposed framework could play a critical role in the future evolution of smart grid security, offering valuable insights for researchers and practitioners.