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This community service project aimed to strengthen the capacity of Posyandu cadres in performing early detection of child growth and development (SDIDTK) through a community-based intervention at Babadan Health Center, Indramayu. Limited knowledge, lack of assessment tools, and minimal continuous assistance were identified as key problems among cadres. The intervention involved training, mentoring, simulation practice, and monitoring–evaluation using participatory and human-centered approaches. Thirty cadres participated in the program. The results showed an improvement in cadres’ understanding of SDIDTK concepts, increased ability to conduct stimulation and screening using KPSP, and enhanced readiness to educate parents during Posyandu activities. This community-based approach successfully strengthened cadres’ competency and supported optimal child development monitoring in the community. The program is recommended to be continued through periodic mentoring and integration with local health programs.

This research is motivated by the persistent difficulty elementary school-aged children have in controlling their emotions and behavior in social situations, particularly within the context of church community development. The study aimed to examine the effect of Christian values-based emotion management training on improving children's self-control. The study used a quantitative approach with a quasi-experimental one-group pretest-posttest design on 30 children aged 7–12 years at the GPM Wonreli–Kisar Congregation. The intervention was implemented over four days through activities involving emotion recognition, value reflection, emotion regulation training, and social simulations. Data were collected using a self-control scale and analyzed using paired-difference tests and effect size calculations. The results showed a significant increase in self-control scores after the training, with the largest changes in rule compliance and impulse control, and a more moderate increase in resilience to frustration. The effect size indicates a strong practical impact of the changes. These findings indicate that training that integrates social experiences and value reflection can facilitate the shift in behavioral control from external control to internal awareness. Practically, this research provides a basis for developing a community-based child development program that emphasizes not only discipline but also the understanding of values ​​in character formation and self-regulation.

The main objective of the Citizenship Education (PKn) course in higher education is to develop students into individuals with nationalist, participatory, and critical characters towards national dynamics. Conventional learning approaches that are still dominant in higher education, such as one-way lectures and memorization of materials, are considered less able to encourage active participation and the development of critical thinking patterns of students in the Citizenship Education (PKn) course. This study aims to identify the effectiveness of the application of innovative learning methods in improving students' activeness and critical thinking skills. Using a descriptive qualitative approach, data were collected through classroom observations, interviews with lecturers and students, and analysis of lecture documents from three study programs at Merdeka University of Malang. The results of the study showed that the application of learning strategies such as Project Based Learning, role playing, utilization of interactive multimedia, collaborative discussions, and nationality-based simulations were able to significantly increase students' participation and critical understanding. This method is relevant to the needs of learning in the era of globalization that demands digital literacy, cross-disciplinary collaboration, and contextual problem solving. Based on these findings, this study recommends the integration of innovative methods into the Civics curriculum in higher education, pedagogical training for lecturers, and the provision of technological infrastructure that supports the implementation of competency-based learning in the era of globalization.

This community service program aimed to improve students’ understanding and awareness of digital media ethics, particularly language politeness in social media communication. The activity was conducted at a junior high school in Islamic Boarding School Al Falah. The program was designed using participatory and interactive approaches, including lectures, group discussions, role-play simulations, and pre-test and post-test evaluations. The initial findings from the pre-test indicated that most students lacked adequate understanding of ethical digital communication and tended to perceive social media as a free space without rules. After the training, the post-test results showed a significant improvement in students’ comprehension of responsible and polite communication practices in digital environments. Students demonstrated better awareness of the impacts of hate speech, cyberbullying, and misinformation. They were also able to propose constructive and ethical responses to various social media scenarios. The activity resulted in increased digital awareness, positive behavioral changes, and personal commitments from students to promote respectful communication online. This program contributes to strengthening digital literacy and character education among adolescents in rural areas.

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.

Bullying in secondary schools is a serious issue that affects students’ psychosocial well-being and academic achievement, and significantly disrupts the learning climate and the quality of social relationships among students. This community service activity aimed to implement the Child-Friendly School Program through anti-bullying socialization at SMA N 1 Kersana in order to enhance the understanding and commitment of all school members in creating a safe, inclusive, and sustainable learning environment. The method employed a participatory approach, including needs assessment, interactive socialization sessions, focus group discussions, case simulations, and structured evaluation using pre-test and post-test instruments. The results indicated a 23% increase in participants’ understanding based on the comparison of scores before and after the intensive implementation of the program. Furthermore, a “Bullying-Free School” declaration was established along with a plan to strengthen the Violence Prevention and Handling Team as a more systematic sustainability strategy. These findings confirm that participatory-based socialization effectively reinforces the implementation of the Child-Friendly School Program and fosters a safe, inclusive, sustainable, and responsive school culture that supports students’ positive character development.

Background: The development of modern manufacturing systems requires production scheduling strategies that not only improve productivity but also optimize energy utilization. Multi-machine production systems with job-shop configurations exhibit high complexity due to dynamic interactions between machines, job queues, and varying processing times, making conventional scheduling methods less effective in handling changing operational conditions. Objective: This study aims to develop and evaluate a reinforcement learning based production scheduling approach to improve production efficiency while reducing energy consumption in multi-machine manufacturing systems. Methods: This research employs a job-shop based multi-machine production simulation model as the experimental environment. The scheduling problem is formulated as a Markov Decision Process, enabling the implementation of reinforcement learning algorithms, namely Q-learning and Deep Q-Network, to learn optimal scheduling policies through interaction with the simulation environment. Energy consumption parameters are incorporated into the reward function so that the learning agent can consider energy efficiency in the scheduling decision-making process. System performance is evaluated using three main metrics, namely energy consumption, throughput, and makespan. Results: The experimental results show that the reinforcement learning based scheduling approach achieves better performance compared to conventional scheduling methods, resulting in lower energy consumption, higher job completion rates, and shorter production completion times within the multi-machine manufacturing system.

Strengthening reading–writing literacy and numeracy has become a strategic priority in primary education, particularly in preparing prospective teachers who are capable of integrating these competencies contextually into classroom practice. This community engagement program aimed to enhance the conceptual understanding, pedagogical skills, and professional readiness of students from the Primary School Teacher Education Program (PGSD) at Universitas Satya Wiyata Mandala (USWIM) Nabire through a practice-based literacy and numeracy training model. The program was conducted over three days and involved 100 active students. The training adopted a practice-based approach consisting of conceptual reinforcement sessions, group discussions, lesson plan development, and microteaching simulations. Data were collected through observation, analysis of instructional materials, and written reflections, and analyzed using a descriptive qualitative approach. The findings indicate a significant shift in students’ understanding of literacy and numeracy—from technical skills to contextual and reasoning-based competencies. Participants demonstrated improved ability to design literacy–numeracy-based lesson plans and delivered more dialogic and participatory microteaching sessions. The program also fostered stronger professional awareness regarding the role of teachers in building foundational literacy and numeracy skills in primary education. Overall, the practice-based training proved effective in strengthening the professional preparedness of prospective primary school teachers in a contextual and systematic manner.

Queueing systems play an important role in evaluating service performance, especially in small-scale businesses such as barbershops, where fluctuating customer arrival patterns and limited service capacity often lead to long waiting times. This study aims to analyze the performance of barbershop services using the M/M/1 queueing model and an analytical approach based on experimentally tested arrival (λ) and service (μ) rates. The model was selected because it represents a single-server system with Poisson arrivals and exponentially distributed service times, closely matching real barbershop operational characteristics. Using assumed realistic parameters, the analysis shows that when λ = 12 customers per hour and μ = 6 customers per hour, the system becomes unstable with a utilization rate (ρ) exceeding 1, indicating continuous queue growth. Further simulations with increased service rates demonstrate significant improvements: at μ = 15, the system achieves ρ = 0.8 with an average waiting time of 16 minutes, while at μ = 13, the system remains stable but experiences a long waiting time of approximately 55 minutes. These findings emphasize that barbershop performance is highly sensitive to service speed and that even small increases in μ can produce substantial improvements in queue stability and customer waiting times. The study concludes that barbershops must ensure adequate service capacity—either through optimizing service duration, improving worker efficiency, or adding servers—to maintain service quality and enhance customer satisfaction.

Public speaking is an essential communication skill that plays a crucial role in enhancing self-confidence, delivering ideas effectively, and fostering social participation. However, many women in rural areas still lack opportunities to develop this skill due to limited access to training, gender stereotypes, and minimal experience in public forums. These challenges lead to low levels of women’s involvement, particularly housewives who are members of PKK, in community activities and decision-making processes at the local level. This study aims to examine the impact of public speaking training on improving the knowledge, self-confidence, and social participation of PKK mothers in Nagari Sumpur Kudus. The research employed a descriptive qualitative method with a participatory approach through interactive lectures, speaking practice simulations, reflective discussions, participatory observations, and qualitative evaluations. Data were analyzed using data reduction, data display, and conclusion drawing based on field notes, observations, and participants’ feedback. The findings indicate that the training successfully improved participants’ understanding of basic public speaking techniques, including intonation, eye contact, body language, and structured idea delivery. Furthermore, the participants experienced significant growth in self-confidence, courage to speak in front of groups, and motivation to continuously practice their communication skills. The interactive and supportive learning atmosphere also strengthened collaboration and solidarity among PKK members. Thus, public speaking training not only enhances individual competencies but also contributes to women’s empowerment and their active participation in community development at the village level.  

Schools serve as environments where children receive a formal education. In addition to serving as educational institutions, schools can also pose a risk for spreading diseases. Diarrhea accounts for up to 65% of deaths, while other illnesses contribute to 26%. Healthy and clean living practices involve initiatives to offer learning experiences or establish environments for individuals, families, groups, and communities by facilitating communication, sharing information, and arranging educational opportunities to enhance knowledge, attitudes, and actions. This community service seeks to impart knowledge and awareness of clean and healthy living habits to Sekolah Dsar children, enabling them to incorporate these practices into their everyday lives. This community service is conducted through counseling delivered via lectures, interactive discussions, and simulations utilizing LCD media and instructional materials. The event was successful, and everyone involved was excited about this service project.

This community service activity aims to increase the understanding of students at State Senior High School 2 Mataram regarding information security by introducing the concepts of coding and cryptography in digital messages. The rapid use of messaging applications among teenagers makes students increasingly vulnerable to cyber threats, necessitating education on how data protection works in online communication. This program is implemented using a descriptive method consisting of planning, implementation, and evaluation stages. The material covered includes basic cryptography concepts, end-to-end encryption mechanisms, and the practical process of the Diffie–Hellman key exchange thru the interactive simulation "Alice and Bob." Learning is designed contextually and participatively so that students can connect theory with the digital applications they use every day. The evaluation results showed an improvement in students' understanding, reflected in their active participation, ability to answer questions, and adequate post-test scores. This activity not only strengthens digital security literacy but also raises students' awareness of the importance of protecting personal data in online communication. This program is expected to be the beginning of more sustainable digital security learning development in the school environment.

This community service activity aims to increase the understanding of students at State Senior High School 2 Mataram regarding information security by introducing the concepts of coding and cryptography in digital messages. The rapid use of messaging applications among teenagers makes students increasingly vulnerable to cyber threats, necessitating education on how data protection works in online communication. This program is implemented using a descriptive method consisting of planning, implementation, and evaluation stages. The material covered includes basic cryptography concepts, end-to-end encryption mechanisms, and the practical process of the Diffie–Hellman key exchange thru the interactive simulation "Alice and Bob." Learning is designed contextually and participatively so that students can connect theory with the digital applications they use every day. The evaluation results showed an improvement in students' understanding, reflected in their active participation, ability to answer questions, and adequate post-test scores. This activity not only strengthens digital security literacy but also raises students' awareness of the importance of protecting personal data in online communication. This program is expected to be the beginning of more sustainable digital security learning development in the school environment.

Halal Product Processing (P3H) certification mentoring is a community service activity aimed at helping P3H training participants obtain halal certification in halal human resource competencies. The research was conducted by mentoring halal human resource participants around the KM 72A Rest Area. The method of this activity is PAR (Participatory Action Research) to be able to answer partner problems directly through a combination of knowledge transfer, field practice and ongoing coaching. Mentoring is carried out by training P3H participants by providing pre- and post-tests, as well as creating SiHalal accounts and of course uploading documents to the application. Conducting simulations in conducting halal verification and validation for assisted MSMEs. Training is carried out until P3H participants are eligible to receive certificates. The result of this service is the certification of P3H training participants, which is expected to provide added value for participants and the community around the KM 72A Rest Area and of course, public or buyer confidence in the sustainability of the halal zone at the KM 72A Rest Area

Digital Down Conversion (DDC) is a fundamental process in software defined radio (SDR) and digital communications, which transforms intermediate frequency (IF) signals into baseband signals. In conventional DDC designs, multipliers and look-up tables are generally employed, both of which tend to increase hardware size and power consumption. In this paper we present a Dual-Mode CORDIC-Based DDC architecture which uses the CORDIC (Coordinate Rotation Digital Computer) algorithm to eliminate multipliers. This novel architecture combines a CORDIC-based Numerically Controlled Oscillator (NCO), a CORDIC mixer, and a Cascaded Integrator-Comb (CIC) filter with a finite impulse response (FIR) com pentation filter. The NCO provides two precision modes - an 8-stage low-latency mode for speed and a 16-stage high precision mode for accuracy, giving runtime reconfigurability according to design requirements. Simulations and analysis show that the design gives highly accurate frequency translation, is efficient in hardware utilization and fully eliminates the use of digital signal processing (DSP) blocks. Overall, the architecture proposed offers a low-power, low-cost, and recon figural solution ideal for modern SDR-based applications and flexible digital signal processing systems.

This study discusses the phenomenon of digital entrepreneurship in the era of global climate awareness, focusing on the integration of artificial intelligence (AI) ethics, sustainable technology, and green innovation. The main issues raised are the fragmentation of analysis between digital business ethics, green economic opportunities, and technological challenges such as greenwashing, high AI energy consumption, and the digital divide. The purpose of this study is to formulate an interdisciplinary framework that combines ethical, technological, and sustainability dimensions to strengthen the role of digital entrepreneurs in achieving low-carbon development. The methods used include critical literature analysis, bibliometrics of 200 publications (2018-2025) using VOSviewer, and fuzzy logic-based simulations using the UNESCO AI ethics framework (2021) and the sustainable business model of Bocken et al. (2014). The results show four main research clusters: AI for Sustainable Innovation, Ethical Digital Business, Blockchain for Green Supply Chain, and Circular Digital Economy. The application of AI ethics increases the efficiency of green business decisions by up to 20%, consumer trust by 17%, and MSME participation by 14%. The synthesis of findings confirms that AI ethics acts as a conceptual mediator that strengthens the link between technological innovation and sustainability. In conclusion, ethical digital entrepreneurship has great potential as a driving force for Indonesia's green economy, but it requires digital ethics audit policies and the adoption of low-carbon technologies to address ethical and environmental risks in the AI era.

This research examines the use of blockchain technology to support energy sustainability in urban areas. Blockchain offers transparency, security, and efficiency in recording and distributing energy data, potentially optimizing renewable energy use and reducing carbon emissions. The research method involves literature analysis and simulations of blockchain applications in urban energy systems. The results show that blockchain implementation can increase energy distribution efficiency by up to 20%, reduce data reporting time by up to 99%, and reduce carbon emissions by 50%. In conclusion, blockchain technology can be a strategic innovation in supporting the transition to a sustainable and environmentally friendly energy system.

Community preparedness for disasters and emergencies is an essential component in reducing morbidity and mortality. This community service program aimed to empower the community in emergency response through optimizing the role of tourism actors based on Tourism Health Nursing in Versel Village, Pasean District. The methods implemented included socialization, risk screening, the establishment of health cadres, the development of an emergency response handbook, creation of health education media, as well as training and simulation activities. The training covered topics such as recognizing emergency conditions, management of cardiac arrest and respiratory failure, choking, first aid (P3K), utilization of household materials in emergency response, management of febrile seizures, and stress management. The results showed a significant improvement in cadres’ understanding, where prior to education, training, and simulation, most participants (60%) had low comprehension, while after the intervention, almost all (90%) demonstrated good understanding. These findings indicate that the program successfully enhanced the capacity and preparedness of the community—particularly health cadres—in managing emergencies and disasters within the tourism-based community environment.

The oil and gas industry plays a crucial role in meeting global energy needs, with crude oil from production wells being the primary product of upstream operations. Prior to further processing, crude oil requires pretreatment at the production site, one of the key stages being phase separation using a flash separator. This study examines the effect of variations in cooling temperature on the performance of liquid phase separation and energy requirements in the flash separation process of light hydrocarbons. The analysis was conducted through process simulation using Aspen HYSYS version 14.2 with the Peng Robinson property package. The feed stream had a mass rate of 10,000 kg per hour, a temperature of 50°F, and atmospheric pressure, with compositions of ethane, propane, isobutane, and normal butane. The process configuration included compression, cooling, and phase separation in a flash separator at a constant pressure of 50 psia. Variations in cooling temperature were applied at 20, 10, and 0°C. The simulation results indicated a thermodynamic critical point at 10°C. At 20°C, no liquid phase was formed, while at 10°C, significant liquid yield was obtained with moderate energy consumption. Lowering the temperature to 0°C dramatically increases liquid recovery, but the cooling energy requirement also increases sharply. Sensitivity analysis confirms a strong inverse relationship between temperature and condensation yield, as well as a surge in energy consumption at low temperatures. The optimal operating condition is set at 10°C, providing a balance between separation efficiency and energy efficiency in accordance with sustainable manufacturing principles.

In recent years, with the rapid development of artificial intelligence, many innovative changes have been made in the field of intelligent mobile robot development. In the field of control and navigation of mobile robots, learning-based methods have many advantages over traditional ones. The study of mobile robot control methods using deep reinforcement learning is a remarkable area in the development of mobile robots that must operate in dynamic environments. In the previous studies, the proposed robot control algorithms using deep reinforcement learning are mostly based on the given target point and obstacle information, the robot path planning is performed, and the corresponding control is based on the obtained path. The DDPG-based method is a typical example. However, in dynamic environments, DRL based robot path planning requires a state of target point and obstacles information, which leads to a large amount of computation, resulting in extremely long convergence time and even non-convergent cases. In this paper, we propose a new method for mobile robot control in dynamic environment that solves the dimensional problem by extracting the features of the configuration of obstacles using autoencoder and learning the DDPG algorithm based on the obtained features. Simulation results show that the proposed algorithm can effectively solve the mobile robot control problem in dynamic environment.