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This qualitative study aims to explore the effectiveness of reward-and-punishment-based Islamic Religious Education in strengthening students' learning motivation at SMA Negeri 1 Bukateja using Travis Hirschi's social control theory framework. This research was conducted through a case study approach in one of the public high schools in Purbalingga Regency. Data were collected through interviews, participant observation, and documentation studies. The results of the study indicate that the implementation of rewards and punishments functions as a social control mechanism that is able to activate four elements of social bonds: attachment, commitment, involvement, and trust. The reward system in the form of praise, certificates, and gifts has been proven to strengthen the emotional bond between students and teachers, thereby increasing active participation and enthusiasm for learning. Meanwhile, educational punishments, such as reprimands, additional assignments, and community service, are able to build student commitment to rules and reduce indiscipline behavior.This study contributes to the development of Islamic education theory through a social control perspective and serves as a practical reference for Islamic Religious Education teachers in designing effective, fair, and sustainable learning systems.

Heat stress is a major constraint in broiler production systems located in humid tropical climates, where high ambient temperature and relative humidity impair growth performance, feed efficiency, and animal welfare. This systematic review synthesizes peer-reviewed studies published between January 2015 and December 2025 evaluating environmental housing designs and cooling strategies for mitigating heat stress in broiler chickens. This systematic review followed the PRISMA 2020 guidelines and synthesized peer-reviewed studies retrieved from Scopus, Web of Science, and ScienceDirect, published between January 2015 and December 2025. From 500 records initially identified, 26 studies fulfilled the predefined eligibility criteria and were included in the qualitative synthesis. The findings demonstrate that evaporative cooling systems, tunnel ventilation, and automated climate control technologies consistently reduced indoor temperature (2–6°C) and improved body weight gain, feed conversion ratio (FCR), and mortality rates under hot-humid conditions. However, cooling efficiency was strongly influenced by ambient humidity, necessitating integrated and adaptive environmental control approaches. Smart sensor-based systems further enhanced microclimate stability and thermal uniformity within broiler houses. Beyond performance improvements, optimized environmental management reduced physiological stress indicators, including heterophil-to-lymphocyte ratios and corticosterone levels. Overall, integrated, humidity-adaptive, and energy-efficient cooling strategies are essential to sustain productivity, welfare, and climate resilience in tropical broiler production systems.

Poultry agribusiness is a key driver of food security and rural economic development in developing countries. However, the sector remains vulnerable to infectious diseases such as avian influenza and Newcastle disease, which can disrupt production systems and supply chain continuity. Although previous studies have examined poultry disease control, biosecurity, and supply chain disruption, evidence on how risk and crisis communication supports outbreak management and resilience in developing-country poultry agribusiness remains fragmented. This study applied a systematic literature review (SLR) approach under PRISMA guidelines to synthesize risk and crisis communication strategies in poultry disease management and their contribution to supply chain resilience. Only seven relevant studies published between 2020 and 2025 met the inclusion criteria and were analyzed using the PICO framework. Quality assessment using the Mixed Methods Appraisal Tool (MMAT), combined with systematic data extraction in Microsoft Excel 2021, was conducted to improve methodological transparency and consistency. The novelty of this review lies in integrating communication strategies, enabling and constraining factors, digital tools, One Health perspectives, and public–private collaboration within a single analytical synthesis. The findings indicate that participatory, transparent, and coordinated communication can support disease prevention and crisis preparedness, particularly when strengthened by stakeholder trust, policy support, training, and accessible information channels. However, limited digital literacy, inadequate infrastructure, and cultural barriers may reduce communication effectiveness. Overall, this review highlights the need for inclusive communication systems and collaborative governance to strengthen poultry supply chain resilience in developing countries, while recognizing that the small evidence base limits broad generalization.

The rapid growth of Solar Power Plant (PLTS) installations in Indonesia faces efficiency challenges due to the continuously changing position of the sun. Fixed panel systems cannot absorb solar radiation optimally throughout the day. This study aims to evaluate and compare the efficiency of various solar tracking system methods developed over the last five years using a simple literature review approach. The research method was conducted by collecting, screening, and synthesizing secondary data from five reputable scientific journals using a synthesis matrix. The review results indicate that single-axis tracking systems increase power efficiency by 15% to 24.5%. Meanwhile, dual-axis systems achieve higher efficiency, ranging from 30% to 35%, by tracking both horizontal and vertical solar movements. In terms of control systems, astronomical algorithms are found to be more reliable in cloudy weather conditions than pure light sensors. However, the internal power consumption of the actuator motors remains a critical factor that can reduce the system's net energy gain. The implication of this study emphasizes the importance of shifting future research focus toward energy-saving algorithm optimization to maximize net power yield in dynamic solar panel implementations.

Open burning of household waste remains the dominant waste disposal practice in rural areas of Indonesia, posing significant risks to public health and environmental quality. This community service activity aimed to provide an innovative, low-smoke waste combustion solution — the rocket stove incinerator — to the residents of Dusun Allukeke, Desa Belapunranga, Kecamatan Parangloe, Kabupaten Gowa. A baseline survey conducted during PBL 1 revealed that 87.6% of households disposed of waste through open burning. An asset-based community development (ABCD) approach was adopted, engaging community members at every stage from planning, construction, to utilisation. The rocket stove was constructed over three days using locally available materials and was demonstrated to significantly reduce visible smoke emissions compared to conventional open burning. The technology works through a vertically insulated combustion chamber that promotes near-complete combustion, reducing waste volume by 50–90% while suppressing particulate matter and hydrocarbon emissions. Community participation strengthened local ownership of the solution. This activity demonstrates that appropriate technology co-constructed with communities can serve as a practical, sustainable, and replicable model for rural waste management.

Manual server administration introduces operational inefficiencies and elevated risks of human error. This study evaluated the effectiveness of server administration automation utilizing Shell scripting and Cron Job scheduling within a virtualized Linux Debian 12 environment. An experimental method compared manual execution against automated procesases based on execution duration, resource consumption, and error reduction. The findings indicated that the automated system executed backup routines within 0.043 seconds, demonstrating a 95.16% time efficiency increase compared to the manual baseline of 0.89 seconds. Automated monitoring maintained a stable resource allocation, utilizing 275 megabytes of memory and low central processing unit usage between 0.0% and 1.3%. Furthermore, automation reduced operational failures to 0%. In conclusion, this integration significantly optimizes server reliability.

Low courage in arguing and high communication apprehension often become major obstacles for high school students when facing academic presentations. This Community Service (PkM) program aims to strengthen students' communicative rhetoric skills and public speaking abilities at SMA Negeri 11 Makassar. Based on a needs assessment, partner students need techniques for persuasive public speaking, self-evaluation tools for their communication performance, and strategies for managing mental anxiety. The program was carried out through a practice-based reflective workshop involving 25 students from the school's intra-organizational board. Quantitative evaluation results showed a significant improvement in students' speaking competence, with the average score increasing from 58.4 (pre-test) to 86.2 (post-test). This result recorded an increase in the score difference by 27.8 points, which is equivalent to a competence growth of 47.6%, with the students' classical completeness rate reaching 92%. Qualitatively, observations and interviews confirmed changes in students' speaking behavior, which became more organized, expressive, and varied, and they were able to reduce anxiety independently. A tangible output of this activity is the Pocket Guide for Practical Public Speaking Based on Reflective Practice for partner students.

The rapid development of the digital era has significantly impacted adolescents by increasing academic stress due to academic demands, performance pressure, and technological distractions. This condition is often exacerbated by low levels of emotion regulation, which negatively affect students’ learning focus and psychological well-being. Therefore, effective interventions are needed to help students manage their emotions adaptively. This community service program aims to enhance emotional balance and reduce academic stress through a mindfulness-based intervention at MA Plus Nururrohmah. The program employed a participatory approach with stages of preparation, implementation, and evaluation. It was conducted in two main sessions: a mindfulness session delivered by Erlin Kurnia Sri Rejeki, M.Pd.I, and an interactive stress-release session facilitated by Estria Solihatun Nurjannah, M.Pd. Data were collected qualitatively through observation, documentation, and analysis of students’ responses and participation. The results show improved emotional awareness, better recognition of stress conditions, and increased student engagement. Additionally, students demonstrated more positive emotional states after the program. Thus, mindfulness implementation contributes positively to enhancing emotion regulation and reducing academic stress and has potential as a sustainable school-based mental health intervention model.

This community-based project aimed to analyze the cash management system of the micro, small, and medium enterprise (MSME) Bakpia Juwara Satoe and develop recommendations to improve the company's financial performance. Cash management is a crucial but often overlooked aspect of MSME financial management, which can lead to cash flow problems, inaccurate record keeping, and poor management decisions. The methodology used included qualitative data collection through direct observation, in-depth interviews, and financial statement analysis. The project findings revealed that Bakpia Juwara Satoe lacked a functioning cash management system. There was no separation between cash receipts and disbursements, no standardized system for handling cash, and transaction recording remained manual and inconsistent. As part of the project, standard operating procedures (SOP) for cash management were developed, financial accounting training was conducted, and support was provided in creating simple cash flow statements. Following the implementation of these measures, record accuracy increased by 78%, and cash losses were reduced. It was determined that the implementation of efficient cash management contributed significantly to the improvement of Bakpia Juwara Satoe's financial performance.

The Rumah Padat Karya Program in Surabaya City is one of the local government policies to reduce poverty through job creation and empowerment of low-income communities (MBR). This study aims to evaluate the effectiveness of the Rumah Padat Karya Program in reducing poverty rates in Surabaya and to assess its alignment with the Sustainable Development Goals (SDGs), particularly Goal 1 (No Poverty), Goal 8 (Decent Work and Economic Growth), and Goal 11 (Sustainable Cities and Communities). The study employs a formal evaluation approach with a formative evaluation type, given that the program is still ongoing. Data were collected through interviews, observation, and documentation, and analyzed qualitatively. The evaluation was conducted using William N. Dunn’s (2003) criteria, comprising effectiveness, efficiency, adequacy, equity, responsiveness, and appropriateness. The results indicate that the program is fairly effective in reducing poverty and unemployment through local workforce absorption and the productive utilization of previously idle government assets. However, limitations remain, including budget constraints, inter-district facility disparities, weak inter-agency coordination, and suboptimal business mentoring and market access. Therefore, it is necessary to strengthen the mentoring system, equalize facilities, and enhance cross-sector collaboration so that the program can run more optimally and sustainably.  

Changes in labor regulations through the Job Creation Law have brought significant changes to the employment system in Indonesia, particularly in terms of labor flexibility. This study aims to analyze labor flexibility after the implementation of the Job Creation Law from the perspective of Human Resource Management (HRM). The research method used is a qualitative approach through a literature study with thematic analysis of 16 scientific journals, books, and regulations related to labor flexibility and strategic Human Resource Management (HRM) practices. The results show that labor flexibility has positive impacts on companies in improving operational efficiency, productivity, and adaptability to market changes. However, on the other hand, such flexibility also creates several challenges, including job uncertainty, decreased job security, and reduced protection for contract and outsourced workers. From the HRM perspective, companies are required to create a balance between business interests and labor protection in order to maintain harmonious industrial relations. This study is expected to provide a more comprehensive understanding of labor flexibility as part of human resource management strategies in the post-labor deregulation era in Indonesia.

The phenomenon of infinite scrolling in digital media reflects a fundamental shift in how modern individuals experience spirituality in the digital era. The continuous flow of information creates new spaces for the search for meaning, including the human relationship with the Divine, while simultaneously introducing challenges in the form of constant distraction that disrupts deep reflection. This study aims to analyze how infinite scrolling contributes to a crisis of spiritual awareness and how digital technology functions as an ambivalent space between distraction and reflection. The research employs a descriptive qualitative method with a library research approach, using relevant academic literature and religious documents. The findings indicate that intensive digital engagement reduces opportunities for contemplation, weakens reflective capacity, and produces shallow and fragmented spiritual experiences. However, digital technology also provides broad access to spiritual resources that can be used constructively. This study concludes that the crisis of spiritual awareness in the digital era is influenced not only by individual factors but also by technological structures shaping human attention. Therefore, digital literacy that includes ethical and spiritual dimensions is essential to ensure technology supports the search for meaning.  

This research was conducted to examine the implementation of the Accurate system in recording cement purchase transactions at PT. XYZ and to evaluate its effectiveness in supporting the company's operational activities. A qualitative approach was employed, emphasizing the analysis of descriptive data in the form of words and documents. The study was carried out using a case study method to obtain an in-depth understanding of the phenomenon being investigated. During the internship period, data were collected through interviews, observations, and documentation techniques. Research shows that the Accurate system helps companies record purchases in a more organised, faster and more accurate way than the manual method using Microsoft Excel. The Accurate system can automatically record purchase invoices, business debts, suppliers and the inventory of goods. This makes the accounting department more efficient. Accurate helps to reduce the risk of recording errors and makes it easier to find transaction data. However, when it is being used, there are still several problems, such as delays in entering transaction data, mistakes when entering names or account numbers, and being unable to change invoices after a certain amount of time. To get around these problems, the company checks the transaction data again and makes sure that the recording process is more consistent. Research results show that the Accurate system is effective in PT. XYZ can help make sure that the process of recording cement purchases is effective and efficient. It can also help make sure that financial information is more accurate and joined up.

Background: Rabies is a fatal zoonotic disease that remains a serious health problem in Bali, with increase case from rabies transmiting animal bite   in 2025. Sobangan Village, area of ??the Mengwi I Public Health Center, has been identified as a high-risk area due to its largest dog population and the second-highest bite incidence in the region. Lack of understanding regarding the initial treatment of bite wounds and vaccination are major risks factor for fatalities. Aim: This community service activity aims to increase the knowledge and awareness of the Sobangan Village community regarding the prevention and initial treatment of Animal Bites. Method: The implementation method included interactive counseling and focused discussions involving 18 village cadre representatives and PKK members, evaluated using pre-tests and post-tests. Result: The results showed a significant increase in the average knowledge score of participants from 11.56 to 12.56. The most increase understanding occurred in identifying the characteristics of rabid dogs (from 55.6% to 94.4%) and the urgency of post-exposure vaccination (from 72.2% to 100%). Conclusion: Community-based health education has been shown to be effective in improving cognitive competence as a preventative measure to reduce the risk of death from rabies in endemic areas.

Abstract. This research aims to analyze the effectiveness and reliability of production machines in the process of making public street lighting poles (PJU) at PT. XYZ The main problem faced by the company is high machine downtime so that production targets are not achieved. Therefore, a method is needed that is able to measure machine effectiveness as a whole and identify the main causes of production losses. The method applied includes Overall Equipment Effectiveness (OEE) to measure machine effectiveness based on three components, namely availability, performance and quality. The Total Productive Maintenance (TPM) approach is used to identify factors causing low effectiveness through Six Big Losses analysis. Apart from that, Mean Time To Repair (MTTR) and Mean Time Between Failure (MTBF) are calculated to determine the level of machine reliability. The data used includes machine working hours, downtime, operating time, production quantities, defective products, as well as machine damage and repair data. The analysis results are expected to show the level of machine effectiveness and identify the dominant factors causing downtime. Based on these results, improvement proposals are prepared to reduce downtime, increase machine reliability and improve production productivity Keywords: Overall Equipment Effectiveness (OEE), Total Productive Maintenance (TPM), Six Big Losses, Downtime, Efektivitas   Abstrak. Penelitian ini bertujuan untuk menganalisis efektivitas dan keandalan mesin produksi pada proses pembuatan tiang penerangan jalan umum (PJU) di PT. XYZ Permasalahan utama yang dihadapi perusahaan adalah downtime mesin yang tinggi sehingga target produksi tidak tercapai. Oleh karena itu, diperlukan metode yang mampu mengukur efektivitas mesin secara menyeluruh dan mengidentifikasi penyebab utama kerugian produksi. Metode yang diterapkan meliputi Overall Equipment Effectiveness (OEE) untuk mengukur efektivitas mesin berdasarkan tiga komponen, yaitu availability, performance, dan quality. Pendekatan Total Productive Maintenance (TPM) digunakan untuk mengidentifikasi faktor penyebab rendahnya efektivitas melalui analisis Six Big Losses. Selain itu, dilakukan perhitungan Mean Time To Repair (MTTR) dan Mean Time Between Failure (MTBF) untuk mengetahui tingkat keandalan mesin. Data yang digunakan mencakup jam kerja mesin, downtime, waktu operasi, jumlah produksi, produk cacat, serta data kerusakan dan perbaikan mesin. Hasil analisis diharapkan dapat menunjukkan tingkat efektivitas mesin dan mengidentifikasi faktor dominan penyebab downtime. Berdasarkan hasil tersebut, disusun usulan perbaikan untuk mengurangi downtime, meningkatkan keandalan mesin, dan memperbaiki produktivitas produksi Kata kunci: Overall Equipment Effectiveness (OEE), Total Productive Maintenance (TPM), Six Big Losses, Downtime Mesin, Efektivitas Mesin

Artificial Intelligence (AI) has increasingly influenced higher education, including learning practices among students of Islamic Education (PAI). Applications such as ChatGPT, Claude AI, and Gemini are widely used to support academic activities, including information searching, understanding course materials, idea generation, and assignment completion. This study aims to examine the use of AI among PAI students and analyze its implications for critical thinking skills. A qualitative descriptive approach was employed at the Islamic Education Program of UIN Salatiga. Data were collected through written interviews with 12 students selected using purposive sampling and analyzed using an interactive data analysis model. The findings reveal that AI has become an important part of students’ academic activities due to its perceived usefulness and ease of use. Most participants demonstrated critical thinking behaviors by verifying AI-generated information, comparing multiple academic sources, and evaluating the accuracy of responses before using them for academic purposes. Nevertheless, excessive dependence on AI was found to potentially reduce students’ independent learning and analytical engagement. The study concludes that AI has a dual impact on critical thinking: it can enhance critical thinking when used reflectively and responsibly, but it may also weaken cognitive involvement when relied upon excessively. Therefore, strengthening AI literacy, digital literacy, and critical thinking skills is essential in higher education learning practices.

Sufism as a spiritual approach has a great potential to prevent mental health problems among Generation Z students at UIN Walisongo Semarang. This is because Sufism focuses on inner balance, self-awareness, and strengthening spiritual values that can be a source of psychological resilience. This study aims to investigate how Sufism practices such as dhikr, self-reflection, and spiritual guidance can help prevent mental health problems, such as stress, anxiety, and loneliness among Generation Z students. The method used in this study is a qualitative study with a phenomenological design. Data were obtained from in-depth interviews with students, observations of religious activities on campus, and focus group discussions, then analyzed thematically. Interviews were conducted with three students: Wilda Ismatus Sarifah (Faculty of Tarbiyah and Teacher Training), Sinta Wahdatul Khusna (Faculty of Tarbiyah of Social and Political Sciences), and Umi Fathonah (Faculty of Tarbiyah and Teacher Training). The study found that regular Sufism practice guided by experienced individuals helped students feel more meaningful, more socially connected, and develop coping strategies. This was associated with reduced symptoms of stress and anxiety, as well as improved well-being. The study recommends integrating Sufism-based spiritual programs into campus counseling services and character development activities. It also recommends training spiritual mentors and fostering collaboration between student welfare units and religious institutions on campus to support the mental health of young people.

This study investigates the integration of digital twin technology and machine learning for predictive analysis in smart mechanical systems. The research emphasizes the role of intelligent computational frameworks in improving industrial monitoring, predictive maintenance, and operational efficiency within Industry 4.0 environments. A qualitative content analysis approach was employed by reviewing scientific literature, industrial reports, and previous studies related to digital twins, artificial intelligence, and predictive analytics. The findings indicate that digital twin architectures supported by machine learning algorithms can significantly enhance real-time monitoring, fault prediction accuracy, and maintenance optimization. The integration of IoT devices, cloud computing, and intelligent analytics also improves industrial sustainability, reduces operational downtime, and supports data-driven decision-making processes. Furthermore, the study identifies several technological challenges, including cybersecurity risks, data integration complexity, and computational limitations. Overall, the proposed intelligent digital twin framework provides a promising approach for future industrial innovation and sustainable smart mechanical system management

Lead (Pb²⁺) contamination in wastewater is a major environmental concern due to its toxicity, persistence, and ability to accumulate in living organisms. Adsorption using biomass-based materials has been developed as an alternative treatment method because it is efficient, economical, and environmentally friendly. This study aimed to analyze the effect of bioadsorbent dosage and contact time on Pb²⁺ removal efficiency and evaluate Pb²⁺ mass distribution using mass balance analysis in a batch adsorption system. Ramie leaf (Boehmeria nivea) was utilized as a bioadsorbent due to its lignocellulosic content, which provides active sites for metal ion adsorption. The research was conducted experimentally through bioadsorbent preparation, chemical activation, and batch adsorption using artificial Pb²⁺ solutions with variations in bioadsorbent dosage and contact time. Pb²⁺ concentrations before and after adsorption were analyzed using Atomic Absorption Spectroscopy (AAS). The obtained data were used to determine removal efficiency and Pb²⁺ distribution between the liquid phase and bioadsorbent. The results showed that ramie leaf bioadsorbent effectively reduced Pb²⁺ concentration, with the optimum condition obtained at 4 g/L bioadsorbent dosage and 90 minutes contact time, achieving 98.46% removal efficiency. Mass balance analysis indicated that Pb²⁺ ions were successfully transferred from the solution phase onto the bioadsorbent surface. These findings demonstrate that ramie leaf bioadsorbent has potential as a sustainable alternative material for heavy metal removal in wastewater treatment.

Hot material dumping in the chemical industry is an important process stage that affects occupational safety, process stability, and product quality reliability. In manual processes, dumping activities may cause variation because they are influenced by operator condition, pouring angle, work speed, and exposure to hot materials. This study aims to analyze the consistency of the hot material dumping process and formulate a B2B strategy based on process reliability. The research method uses a descriptive-quantitative case study approach with data from 20 batches, analyzed through three indicators: dumping time, pouring flow stability, and material temperature change or ΔT. The data were primary data obtained directly through field observation, production-process documentation, and recording of process parameters; journal literature was used only as the theoretical and interpretive basis. The results show that the automated process provides more consistent performance than the manual process. The average dumping time decreased from 49.14 seconds to 30.18 seconds, the coefficient of variation for dumping time decreased from 12.44% to 1.36%, the pouring flow stability score increased from 2.55 to 4.70, and the average material ΔT decreased from 15.26°C to 8.16°C. These findings indicate that automation can improve process regularity, reduce variation between batches, and maintain material conditions in a more controlled manner. This process consistency can serve as the basis for a B2B strategy based on process reliability, emphasizing process reliability, production safety, quality consistency, and data-based evidence as key values in building industrial customer trust.