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Processing plastic waste into fuel oil with pyrolysis technology. Research on plastic oil as an alternative fuel has been widely conducted. One of them is research on processing plastic bag waste into fuel oil with pyrolysis technology. In this study, a set of pyrolysis equipment was made by Lecturers and Students of UMNU Kebumen. The plastic waste used in this study was 1 kg of plastic bag. Meanwhile, the pyrolysis process used a temperature of 250oC-300oC. The fuel oil produced in the pyrolysis process of this study was approximately 400 ml. The average density of fuel oil from plastic bag waste was 0.733 gr/ml. The results of this density calculation are in the possibility of the density of gasoline, namely 0.710 gr/ml to 0.770 gr/ml. This pyrolysis process shows great potential for converting plastic waste into an environmentally friendly alternative energy source. Furthermore, the efficiency of this pyrolysis technology can be improved by adjusting the temperature and processing time, as well as by selecting a wider variety of plastic types. This technology has the potential to be applied more widely in plastic waste management within the community as a solution to reduce environmental pollution while generating renewable energy.

The danger of cadmium contamination in water sources remains a crucial environmental issue due to its persistent nature and high toxicity level, which poses serious risks to human health and ecosystems. Cadmium is a non-biodegradable heavy metal that can accumulate in living organisms over time. The presence of these toxic Cd²⁺ ions is known to trigger damage to vital organs such as the liver and kidneys; therefore, reducing their concentration in aquatic environments is of paramount importance for environmental protection and public health safety. Among various treatment methods, adsorption is considered one of the most effective and economical techniques for removing heavy metal ions from contaminated water. In this study, the capability of mesoporous silica MCM-48-NH₂ as an adsorbent for Cd²⁺ ions was systematically evaluated. The adsorption performance was examined by investigating several important parameters, including contact time, solution acidity level (pH), and initial Cd²⁺ concentration. Furthermore, the adsorption mechanism and interaction between Cd²⁺ ions and the adsorbent surface were analyzed using Langmuir and Freundlich isotherm models. The results demonstrate that the adsorption process of Cd²⁺ ions onto MCM-48-NH₂ tends to follow the Langmuir isotherm model, indicating monolayer adsorption behavior, with a maximum adsorption capacity of 0.66 mmol g⁻¹.

The discharge of surfactant-laden wastewater from the rapidly expanding laundry industry poses significant environmental risks, especially in densely populated urban areas. While constructed wetlands (CWs) and Eco-Enzyme technology have shown promise for surfactant remediation, their standalone application requires long hydraulic retention times (HRTs), limiting practical implementation. This study evaluated the efficacy of a novel integrated system combining a subsurface constructed wetland (SSFCW) with fruit peel-derived Eco-Enzyme to treat synthetic laundry wastewater. Over a 6-day treatment period, the combined system achieved a remarkable surfactant removal efficiency of 99.63%, reducing the concentration from 225 mg/L to 0.835 mg/L—well below the regulatory threshold of 3 mg/L. The synergistic degradation mechanism involves enzymatic hydrolysis via Eco-Enzyme lipase and protease activity, complemented by microbial mineralization in the wetland rhizosphere. This system maintains optimal environmental conditions, with a stable pH of 6.85-7.32 and a temperature of 30.9-35.2°C, supporting robust biological activity. These findings demonstrate that the integrated Eco-Enzyme/SSFCW system overcomes the limitations of conventional HRT approaches, offering a highly efficient, sustainable, and practical decentralized wastewater treatment solution for the laundry industry.  

Chili pepper (Capsicum frutescent L.) is known as one of the high sources of vitamin C, which acts as an important natural antioxidant for human health because the body is unable to produce its own. This study aims to analyse vitamin C levels in chili pepper using the iodometric titration method quantitatively by taking a 5 gram sample of chili pepper and titrating it using 0,1 N iodine solution. The analysis results showed that the vitamin C content obtained was 0,0704% or equivalent to 70,4 mg/100g. This value is higher than some research results. This value is higher than some previous research results on fruits and chillies from other regions. This finding shows that chilli pepper has great potential as a source of vitamin C in supporting the fulfilment of people’s daily nutrition. In addition, the iodometric titration method is proven to be effective and efficient to be used in the analysis of vitamin C in foodstuffs. Therefore, chili pepper consumption can be a simple strategy in improving nutritional and preventing disease related to vitamin C deficiency.

Work volume calculations are essential for project cost estimation. Many projects, such as the Laboratory Building of the Faculty Engineering at Tanjungpura University, calculate work volumes conventionally. Conventional calculation considered less efficient and prone to errors. Building Information Modeling (BIM) provides a solution that produces more accurate and efficient calculations than conventional methods. This research aims to compare structural work volume results produced by BIM using Autodesk Revit against conventional methods and project’s BOQ. This research also describes the benefits and challenges of BIM implementation based on the researcher’s experience applying BIM with Autodesk Revit in work volume calculation. The comparison between BIM and conventional method shows a maximum difference of 2% across all work items. Meanwhile, the comparison between BIM and the BOQ shows significant differences: 81% in column formwork area, 24% in grade beam/beam concrete volume, 25% in column reinforcement weight, 25% in steel beam weight, and 10% in the steel plate weight. This research proves that BIM implementation produces more accurate and efficient calculations and serves as an effective BOQ cross-check tool. Based on the researcher’s experience in implementing BIM with Autodesk Revit, challenges found in procurement aspects, modeling aspects, and model dependency on reference drawings.    

A community service program (PKM) entitled "Skincare Product Dispute Resolution" was successfully implemented in Ngadi Village, Mojo District, Kediri Regency, involving village cadres, youth organizations, and community members, particularly housewives as skincare consumers. This PKM aims to provide solutions to skincare product disputes through five stages: outreach, training, technology implementation, mentoring, and sustainability evaluation. The outreach program began with a presentation on halal skincare products and consumer protection against misleading promotional practices, delivered by speakers from the Sharia Research Group (SReG) and the Non-Governmental Consumer Protection Organization. This program also includes in-kind and in-cash contributions, including training to improve customer service quality, ensure raw material quality standards and production processes comply with international standards, and ensure product information transparency. In addition, a loyalty program and transportation cost incentives were provided to affected consumers. PKM partners played an active role in providing information and inviting the community to participate in this activity. The implementation of this activity is expected to strengthen consumer trust and ensure protection of consumer rights related to skincare products.

Background: The increasing complexity of industrial production systems requires machine condition monitoring solutions that are capable of operating in real time with high accuracy and responsiveness to support predictive maintenance strategies. Conventional cloud based monitoring systems often experience limitations such as high latency and dependence on stable network connectivity, which can delay decision making processes in critical industrial operations. Objective: This study aims to design and evaluate an Industrial Internet of Things (IIoT) architecture based on edge computing to improve the efficiency of industrial sensor data processing and accelerate anomaly detection in industrial machines. Method: The research adopts an experimental approach by designing a system architecture consisting of a sensor layer, edge computing layer, and cloud layer. Industrial sensors, including vibration, temperature, and current sensors, continuously collect machine operational data, which are then processed locally at the edge node using a machine learning based anomaly detection algorithm. System testing is conducted in a simulated manufacturing environment to evaluate performance based on latency, reliability, and detection accuracy. Results: The results indicate that edge based data processing significantly reduces latency compared with cloud-based processing and enables faster responses to machine condition changes. Additionally, the implemented anomaly detection algorithm achieves high accuracy in identifying abnormal sensor data patterns.

This study presents an ethical framework for learning analytics aimed at addressing key challenges related to the collection and use of student data in higher education. Learning analytics, a powerful tool for improving student outcomes and institutional decision-making, has raised ethical concerns regarding data privacy, transparency, fairness, and equity. The proposed framework integrates four core principles: data privacy, informed consent, transparency, and fairness, ensuring that institutions use learning analytics responsibly while safeguarding student rights. A central feature of the framework is its focus on promoting equitable decision-making, minimizing bias, and preventing the reinforcement of existing inequalities in algorithmic and data-driven decisions. The framework also emphasizes the importance of continuous ethical oversight, holding institutions accountable for ethical data use and adapting practices as technology evolves. The study concludes that the framework offers a comprehensive solution to the ethical challenges in learning analytics, providing institutions with a practical guide to embedding ethical principles in data practices. Additionally, the research discusses its potential to foster fairness, equity, and transparency in decision-making processes. Future research is recommended to refine the framework and explore its application across various educational contexts, ensuring responsible and inclusive use of learning analytics.

Buddhist teachings play a crucial role in addressing various social problems that continue to develop in the modern era. Rapid social change, globalization, and technological advancement have brought not only positive impacts but also serious challenges, such as increasing social conflicts, moral degradation, individualism, and the weakening of social awareness within society. In this context, Buddhism offers universal ethical guidance that remains relevant across time, particularly through the principles of compassion (karuṇā), loving-kindness (mettā), wisdom (paññā), and mental equanimity (upekkhā), which guide individuals toward harmonious and responsible living. This study aims to analyze the role of Buddhist values in providing solutions to contemporary social problems. The research employs a descriptive qualitative method based on library research, using a hermeneutic approach to Buddhist sacred texts and relevant scientific studies. The findings indicate that the application of Buddhist values contributes significantly to the development of social morality, the strengthening of social solidarity, conflict resolution, and the formation of individual character marked by empathy, tolerance, and responsibility. Furthermore, these values play an essential role in fostering interreligious harmony and cultivating collective awareness of the importance of peaceful coexistence within pluralistic and multicultural societies.

This study discusses the relevance and role of hybrid learning strategies as a conceptual solution to the crisis of effectiveness in traditional fiqh learning in Islamic boarding schools in the digital age. The background of this study stems from the problem of declining efficiency and interactivity of classical learning methods such as sorogan and bandongan amid technological developments that demand pedagogical innovation. This study aims to analyze theoretically how the integration of traditional pesantren values and modern learning approaches can be applied without eliminating spiritual identity and scientific sanad. The method used is library research with a descriptive-analytical approach through a review of the latest scientific literature on Islamic education and hybrid learning. The results show that a hybrid learning model based on synchronous and asynchronous approaches can increase flexibility, effectiveness, and student participation in the learning process, while maintaining personal relationships with teachers. The theoretical implications enrich the concept of integrating Islamic education and technology, while the practical implications offer an adaptive curriculum model for Islamic boarding schools to respond to the challenges of the digital age without abandoning Islamic values.

The rapid development of e-commerce as part of the broader digital transformation has introduced various new forms of transactions that were not explicitly recognized in classical Islamic jurisprudence. These include digital contracts, non-physical goods, cloud-based services, and electronic payment systems. Such innovations present a range of legal challenges, particularly concerning the validity of contracts, the legal status of digital products, the permissibility and security of electronic payment methods, and the protection of consumers in online transactions. To address these challenges, Islamic scholars have increasingly turned to ijtihad the process of independent reasoning and interpretation—as a methodology capable of providing legal solutions for contemporary issues. This study employs a qualitative approach, primarily through literature review, to examine the foundational principles of ijtihad, various methodological tools, and their applicability to different aspects of e-commerce transactions. The findings demonstrate that ijtihad methods, including qiyās (analogical reasoning), istislāh (consideration of public interest), istihsān (juridical preference), and ‘urf (customary practice), enable Islamic law to remain adaptive and flexible, while still oriented toward justice and public welfare. By applying these methods, Islamic jurisprudence can provide legal certainty, uphold fairness, and ensure that e-commerce practices align with Shariah principles, ultimately fostering trust and ethical behavior in the digital marketplace.

The Problem-Based Learning (PBL) model is a teaching strategy that focuses on students being the main participants in their education by engaging in the resolution of actual problems. This article looks into how PBL is applied in the classroom, its effects on enhancing students' critical thinking abilities, and the primary attributes of this model that aid in developing problem-solving skills. PBL consists of five key phases: identifying a challenge, organizing research efforts, performing both individual and group inquiries, gathering and sharing findings, and reflecting on the process. These phases create a learning experience that promotes teamwork, self-directed research, and thorough analysis of information. Findings from this research reveal that PBL significantly enhances students' critical thinking skills, particularly in areas like analysis, assessment of evidence, solution formulation, and articulating arguments logically. Furthermore, features of PBL, which include prioritizing students, addressing real-world issues, fostering self-directed learning, encouraging group collaboration, and positioning the teacher as a guide, play a crucial role in enhancing problem-solving capabilities. By tackling issues that relate to their daily lives, PBL motivates students to independently build knowledge, foster innovation, and reinforce their autonomy in the learning journey.

This study aims to determine and analyze service waiting times, identify the root causes of long queues, and develop a strategy to improve service performance at the 5361137-gas station (SPBU) at the Surabaya-Gresik Toll Rest Area. The research method used is a mixed-methods approach with an exploratory sequential design. This study combines quantitative analysis using Queuing Theory to measure system performance (arrival rates and service times) and descriptive qualitative analysis using a Fishbone Diagram. Data were collected through direct observation, interviews, and g-form techniques. The results indicate that the current queuing system performance is in a critical or severe condition, indicated by a server utilization rate of 0.94 to 1.02 during peak hours. The average time spent by vehicles in the system is 14.3 minutes, of which 9.6 minutes (67%) is spent waiting in the queue. Fishbone diagram analysis revealed that the root cause of the main problem lies in the complex interaction of factors: Machine factors (EDC signal failure and pump repair downtime), Human and Method factors (implementation of static shifts and reactive maintenance), and Environmental factors (narrow layouts that hinder large vehicle maneuvers). As a solution, this study formulated a hybrid improvement strategy that includes short-term business process engineering (the use of Floating Staff and lane segregation) and long-term investment in additional pumps to change the queuing model from Single Channel to Dual Channel. This strategy is expected to reduce the utility level to a safe zone below 0.80 with a target waiting time of 3–5 minutes.

Community service activities in traditional fish ponds on Tibi Island, Tarakan, aim to increase the productivity of fish and shrimp farming using a simple yet effective approach. The methods applied include manual pond maintenance, such as spreading molasses solution (EM-4) to improve water quality, removing pests such as snails and oysters, and routine net maintenance and water drainage. Feed management is carried out every three days to maintain the nutritional balance of fish and shrimp. Although without the use of sophisticated technology, the success of cultivation depends heavily on the experience and thoroughness of the farmers in managing the pond environment. Overall, this activity demonstrates that a simple and structured approach can support sustainable cultivation, increase productivity, and strengthen collaboration between the implementation team and the pond owners. It is hoped that this method can serve as a useful example for other traditional fish farmers in increasing aquaculture yields and supporting more efficient and environmentally friendly farming practices.

Modern society faces multidimensional complexities, ranging from spiritual crises and technological disruption to social inequality. Muslims, with their theological and intellectual capital, are often perceived as suboptimal in responding to these challenges contextually and applicatively. This article aims to analyze the fundamental problems faced by Muslims in formulating answers to the problems of modern society and to explore the strategic role of Islamic higher education institutions, specifically the Muhammadiyah University of Malaysia (UMAM), in bridging this gap. This research uses a qualitative approach with a case study method at UMAM. Data was collected through literature study, observation, and structured interviews with academics and policymakers at UMAM. The findings indicate that the main problems lie in: (1) the dichotomy between naqli and aqli sciences, (2) a static approach to religious texts, and (3) a lack of integrative and innovative solution models. UMAM strives to address these issues through three main strategies: integration of knowledge in the curriculum, problem-based research, and empowering community engagement. This article concludes that UMAM has the potential to become a model social laboratory of Islam that combines the Muhammadiyah renewal ethos with the Malaysian socio-cultural context to produce relevant, humanist, and rahmatan lil 'alamin solutions.

Belawa Village, located in Lemahabang District, Cirebon Regency, West Java, is famous for the Labi-labi Belawa tourist attraction. This study aims to develop a sustainable tourism village at the Cikuya Tourist Attraction in Belawa Village. This model is expected to be an integrated solution to support the implementation of sustainable tourism. The research method used is descriptive qualitative, with quantitative data analysis. The results of the study show that the implementation of sustainable tourism in Cikuya is evident through environmental preservation and the conservation of the Belawa turtle habitat. Although the management is not yet optimal, there are practices of utilizing organic waste, such as chicken manure for animal feed and coconut shells for souvenirs, supporting the circular economy concept. Community participation in cultural activities also supports the social and cultural aspects of sustainable tourism, although it is still incidental and has not yet been programmed sustainably. However, the implementation of sustainable tourism in Cikuya is not yet fully optimal, despite having strong natural and conservation potential. Structural and operational barriers, such as accessibility, human resources, institutional governance, economy, socio-culture, and policy support, affect the effectiveness of applying sustainability principles.

Employment agreements are essential legal instruments that regulate the rights and obligations of workers and employers in industrial relations, aiming to ensure legal certainty and balance. In practice, however, the implementation of employment contracts often faces challenges such as differing interpretations, unequal bargaining positions, and inconsistent application of labor regulations. These issues require an effective and constructive dispute resolution mechanism that can address contractual problems while preserving employment relationships. In the Indonesian labor law system, mediation is recognized as a key non-litigation mechanism facilitated by government-appointed mediators to help parties reach mutually acceptable solutions. This study examines the mediation mechanism for resolving employment agreement disputes in Indonesia and analyzes its role as an alternative to court proceedings that emphasizes deliberation, efficiency, and cooperation. Using a normative legal research method with statutory and conceptual approaches, the study analyzes relevant labor laws, mediation regulations, and legal doctrines through a comprehensive literature review. The findings show that mediation is conducted through structured stages, including dispute registration with labor authorities, mediator appointment, facilitated negotiations, and the formulation of agreements or written recommendations. Mediation effectively promotes consensual solutions, reduces procedural complexity, and encourages cooperative communication. It also supports the preservation of harmonious and sustainable employment relationships by prioritizing consensus over adversarial processes. Strengthening mediator competence and improving legal awareness among workers and employers are therefore crucial to optimizing the effectiveness of mediation in resolving employment agreement disputes in Indonesia.

The Attorney General's Office plays a strategic role as a neutral facilitator that initiates, leads, and oversees the peace process, from peace offers and mediation to the issuance of a suspension of prosecution based on Attorney General Regulation No. 15 of 2020, while still considering the best interests of children, the restoration of social relations, and the legal benefits for all parties. This approach is considered effective in minimizing the traumatic impact of formal judicial proceedings on children while encouraging the social reintegration of perpetrators. However, the implementation of restorative justice still faces internal obstacles, such as limited operational regulations, the understanding and capacity of law enforcement officials, and suboptimal infrastructure. On the other hand, external obstacles arise from low public awareness of the law, a tendency to demand severe punishment, and a culture that emphasizes pride, which hinders the acceptance of peaceful resolutions. This study emphasizes the importance of strengthening regulations, improving the competence of officials, optimizing the function of Restorative Justice Houses, and intensifying public awareness so that the application of restorative justice in cases of child abuse is not only a procedural alternative but truly functions as a fair and sustainable recovery mechanism.

The rapid development of smartphone technology today creates challenges for consumers and manufacturers in determining an objective price range based on highly varied technical specifications. This study aims to implement the Random Forest algorithm in classifying smartphone price ranges into four main categories, namely low, mid-range, high, and flagship. The research method was carried out systematically through the stages of loading a dataset of 2,000 entries, exploratory data analysis (EDA) to ensure data integrity, and model training with a training and testing data split of 80:20. The results showed that the Random Forest model achieved a significant overall accuracy rate of 89%. Based on feature importance analysis, it was found that RAM capacity was the most dominant determining factor, contributing 47% to prediction accuracy, followed by battery power and screen resolution as supporting features. These findings have strategic implications for manufacturers to prioritize memory capacity upgrades in determining product pricing in the market, as well as providing guidance for consumers in assessing the fairness of a device's price based on its technical capabilities.

Contemporary church ministry is often trapped in a seasonal pattern, with increased activity only during major events like Christmas and Easter, while stagnating at other times. This phenomenon indicates a fundamental problem in leadership patterns that are not poverty-oriented. This article analyzes the roots of seasonal church ministry through a qualitative-descriptive approach and theological reflection based on Osmer's framework. Literature reviews by Barna, Maxwell, Banks & Ledbetter, as well as the leadership principles of Jesus Christ, show that seasonality is eliminated by reactive leadership that lacks a long-term vision, minimal spiritual training, and a weak ministerial cadre system. As a solution, this article offers a sustainable leadership model that emphasizes a year-round discipleship vision, ministerial training and regeneration, systematic ministry evaluation, and the spiritual example of leaders. This model is believed to help churches experience stable growth, establish a consistent ministry rhythm, and present relevant evidence to the world. Thus, sustainable leadership is a strategic and theological approach to addressing seasonal ministry and strengthening the mission of the church today.