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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 development of lanthanum-doped barium hexaferrite materials has attracted considerable attention in the field of functional materials, particularly as electromagnetic wave absorbers. This literature review aims to analyze advances in synthesis methods, structural characteristics, magnetic properties, and electromagnetic absorption performance of lanthanum-doped barium hexaferrite reported in various studies. Synthesis techniques such as sol–gel, coprecipitation, solid-state reaction, and hydrothermal methods are compared to evaluate their effects on crystallite size, morphology, and phase purity. Lanthanum doping is known to modify lattice parameters, reduce coercivity, and enhance complex permittivity and permeability, which play crucial roles in absorption mechanisms. Furthermore, variations in dopant concentration significantly influence reflection loss values and effective absorption bandwidth. The reviewed literature indicates that optimization of composition and synthesis routes can produce materials with high absorption capability, good stability, and strong potential for application in electromagnetic interference mitigation devices. This review is expected to serve as a conceptual reference for future development of lanthanum-doped barium hexaferrite–based electromagnetic wave absorbing materials. The comparative approach also highlights research challenges, industrial application opportunities, and future research directions relevant to the evolving demands of modern communication and defense technologies at both national and global levels.

This study comprehensively evaluates the quality of biomass briquettes produced from blends of coconut shell charcoal and sengon sawdust, using both carbonized and non-carbonized materials. Composite briquettes were fabricated with varying compositions and characterized through proximate analysis, calorific value, density, and burning rate measurements to determine their suitability as solid fuel. The results indicate that adding non-carbonized sawdust increases volatile matter content and burning rate but reduces the calorific value of the briquettes. In contrast, incorporating up to 10% carbonized sawdust significantly improves the calorific value to 6119.2 cal/g, approaching that of pure coconut shell charcoal (6352.2 cal/g), while maintaining a relatively high burning rate. Briquettes containing carbonized sawdust also exhibit low ash content, below 3%, and moisture content under 8%, meeting standard solid fuel quality requirements. These findings demonstrate that a strategic combination of carbonized and non-carbonized materials can produce hybrid biomass briquettes with optimized thermal performance, providing a promising, sustainable, and environmentally friendly alternative fuel for domestic and industrial applications.

Low student achievement in mathematics, particularly in arithmetic sequences and series, has led to decreased learning motivation and participation. Therefore, innovative and engaging instructional strategies are required, one of which is the implementation of ice-breaking activities to reduce boredom and enhance students’ learning engagement. This study aimed to examine the effect of implementing ice breaking on the mathematics learning outcomes of tenth-grade students at SMK Kesehatan Samarinda in the topic of arithmetic sequences and series. This research employed an experimental method using a quasi-experimental design, involving two groups: an experimental group that received instruction incorporating ice breaking and a control group that did not receive such treatment. The total sample consisted of 60 students selected through purposive sampling. The research instrument was a learning achievement test administered as a pretest and posttest. Data were analyzed using a paired sample t-test to determine differences in learning outcomes between the two groups. The results revealed a significance value of 0.000 (< 0.05), indicating a significant difference in learning outcomes between the experimental and control groups. Therefore, it can be concluded that the implementation of ice breaking has a significant effect on improving students’ mathematics learning outcomes. This strategy creates a more active, interactive, and enjoyable learning environment, thereby facilitating students’ understanding of mathematical concepts, particularly arithmetic sequences and series.

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 aims to analyze the process of processing fruit peel waste from juice traders into eco-enzymes as an effort to reduce environmental pollution. The research uses qualitative descriptive methods through direct observation, documentation, and literature studies. Fruit peel waste is fermented at a ratio of 1:3:10 (molasses : fruit waste : water) for three months under anaerobic conditions. The fermentation results show good eco-enzyme characteristics, characterized by a pH of 3, a fresh sour aroma, and a brownish color as an indicator of fermentation success. These findings show that the process of processing eco-enzymes from fruit peel waste can be done simply, cheaply, and environmentally friendly. In addition, the use of eco-enzymes has the potential to reduce the volume of organic waste disposed of in landfills and reduce water and soil pollution. The resulting eco-enzyme also has potential applications as natural cleaners, liquid fertilizers, and odor controllers. Thus, the treatment of fruit peel waste not only supports sustainable environmental management practices, but also encourages the implementation of the circular economy as well as community empowerment ecologically and economically.

This study applies the Mean Variance model, which aims to form an optimal portfolio composition in the health, property, and cyclical consumer sectors and combine the three sectors into one portfolio, then visualize its efficient frontier. This study analyzes the return profiles and compares the risks of each portfolio using alternative risk measures such as the Coefficient of Variation (CV), Value at Risk (VaR), and Conditional Value at Risk (CVaR). Daily closing price data for the three sectors listed on the Indonesia Stock Exchange (IDX) from March 2, 2020, to March 3, 2025, were used in this study. Stock selection was conducted using purposive sampling, followed by selecting seven stocks for optimization based on the lowest Coefficient of Variation (CV) value. Portfolio optimization analysis was conducted using the Python programming language with Visual Studio Code software. The findings of this study indicate that the combined portfolio incorporating the three sectors is the most efficient, with an expected return of 0.104%, standard deviation of 0.007, and alternative risk measures such as Coefficient of Variation (CV) 6.9328, Value at Risk (VaR) of -0.99%, and Conditional Value at Risk (CVaR) of -1.44%, which are lower than those of single-sector portfolios. Visualization of the efficient frontier curve confirms that the combined portfolio offers better results in terms of risk and return. The results of this study indicate that cross-sector diversification can significantly reduce risk and prevent significant losses.

This study aims to analyze consumer perceptions of consumer reviews on the Shopee e-commerce platform and to understand how these reviews influence trust and purchasing decisions. The research employs a qualitative approach with a descriptive case study design, using in-depth interviews with one informant an active Shopee user and supported by digital observations of the fake review phenomenon. The findings indicate that reviews play a crucial role in shaping consumers’ perceptions and trust toward sellers. The informant perceived honest reviews as those characterized by detailed content, genuine product photos, and a natural writing style. In contrast, reviews that appear overly uniform, exaggerated, or too brief are considered inauthentic and raise doubts. Negative experiences resulting from fake reviews reduce trust in both sellers and the platform. This study highlights the need to improve review verification systems and enhance digital literacy education so that consumers can better distinguish between genuine and fake reviews, thereby fostering a more transparent and trustworthy online shopping environment.

In the era of globalization and digital transformation, organizations strive to maintain competitiveness through optimizing internal factors such as work culture, business process engineering (BPR), and decision support systems (DSS). This qualitative research based on a Systematic Literature Review (SLR) analyzes the relationship between these three using the Denison Organizational Culture Model, Hammer & Champy BPR, and the Resource-Based View (RBV). It finds that work culture mediates the implementation of BPR and DSS to increase efficiency by 30-50%, employee productivity, and sustainable competitive advantage. Case studies such as the Toyota Production System (TPS) confirm this synergy, resulting in reduced costs, cycle times, and improved service quality. This research also emphasizes the importance of a strong work culture in supporting the implementation of new technologies and methodologies, which in turn strengthens the company's market position. Thus, organizations that are able to integrate these three elements will be better prepared to face the challenges of globalization and dynamic changes in their industry, creating a sustainable advantage and being able to survive in a highly competitive market.

Financial management, both in public and private organizations, is highly vulnerable to fraud and misappropriation of funds. The risk of fraud in financial reporting not only jeopardizes an organization's long-term financial health but also damages the reputation and trust of stakeholders. Professional ethics and integrity are key factors in ensuring good, efficient, and effective financial governance. Weak internalization of professional ethical values ​​among financial practitioners, such as manipulation of financial reports and unauthorized use of official funds, is often a major cause of misappropriation of funds. These cases can significantly harm an organization, as seen in violations of codes of ethics in various large companies. Therefore, strengthening professional ethics in financial management practices is crucial to prevent misappropriation of funds, fraud, or financial manipulation. A strong internal control system, coupled with a good ethical culture, can play a significant role in preventing and detecting these conditions. This study aims to identify factors that support and hinder the implementation of professional ethics in financial management and provide recommendations for improving integrity and accountability in fund management. It is hoped that the results of this study will help organizations strengthen governance, increase transparency, and reduce the risk of fraud through better implementation of professional ethics.

This paper discusses the role of the global minimum tax in addressing tax avoidance by multinational corporations in Indonesia. This policy is the result of an agreement between the OECD/G20 (Organization for Economic Co-operation and Development) in the Base Erosion and Profit Shifting (BEPS) 2.0 project, which aims to reduce global tax avoidance practices by multinational corporations (MNEs). With a minimum rate of 15%, the GMT is expected to create fiscal justice and strengthen the tax base in developing countries like Indonesia. This research uses a qualitative approach based on a review of literature from the OECD, IMF, and academic journals. The analysis shows that the implementation of the GMT has positive potential in increasing state revenues, but also poses administrative challenges and the risk of reducing investment competitiveness. The Indonesian government needs to adjust tax regulations and strengthen fiscal administration capacity to optimize the benefits of this policy. This study also confirms the importance of international cooperation in the successful implementation of the GMT and reducing the potential for tax avoidance by multinational corporations. Furthermore, regular monitoring and evaluation are needed to assess the impact of this policy on the Indonesian economy and to ensure that the implementation of the GMT does not hinder economic growth and investment in strategic sectors.

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.

Objective– This article aims to comprehensively examine the main types of food crop pests and their attack patterns through a systematic literature review approach. The research focuses on the dynamics of pest attacks, changes in ecological patterns due to climate change, and advances in modern identification technology that enable more accurate early detection. This study also highlights the significance of new paradigms of pest identification based on artificial intelligence (AI), genomics, and landscape mapping in supporting food security at the regional and national levels. Design/methodology/approach– This study used the Systematic Literature Review (SLR) method for scientific publications from 2015–2025 from reputable sources such as Scopus, Web of Science, PubMed, ScienceDirect, SpringerLink, Taylor & Francis, Wiley, AGRIS, and Google Scholar. Of the 326 articles identified in the initial stage, 30 articles in English and Indonesian were selected through a screening process based on strict inclusion–exclusion criteria. All articles were then analyzed using thematic coding techniques to produce an in-depth, evidence-based synthesis. Findings– The study produced four key findings: (1) there are five dominant pests in global food crops, namely Thrips tabaci, Spodoptera exigua/frugiperda, Helicoverpa armigera, Nilaparvata lugens and Sitophilus oryzae; (2) attack patterns are strongly influenced by temperature, humidity, pesticide resistance, and monoculture; (3) modern identification technology AI, drone imagery, multispectral sensors, and DNA Barcoding have increased detection accuracy to 94–98%; and (4) community-based early warning systems accelerate field response and reduce the risk of crop failure. Practical implications– These findings provide a scientific basis for local governments, agricultural extension workers, and farmers to gradually adopt pest identification technology and strengthen integrated monitoring systems at a regional scale. Authenticity/value– This article offers a new conceptual model of “Pest Identification Pyramid – Attack Pattern – Early Warning System” that integrates pest biology, digital technology, and community response to improve national food security.

Hypertension remains a significant public health problem in Indonesia, including in the Parang Banoa neighborhood, Pallangga District, Gowa Regency. Therefore, this Field Learning Experience (PBL) activity was implemented with the aim of increasing community knowledge about hypertension, particularly regarding its prevention and control. The activity was carried out through several stages, including health education, questionnaires, and blood pressure checks for residents of RT 002 in the Parang Banoa neighborhood. The interventions provided included health education, distribution of educational posters, and blood pressure checks for 11 respondents. Results showed an increase in community knowledge after the intervention. Prior to the education, most respondents had sufficient knowledge (81.8%), with a small proportion having insufficient knowledge (18.2%). However, after the education, all respondents (100%) experienced an increase in knowledge regarding hypertension prevention and control. Therefore, ongoing health education and healthy lifestyle changes, such as reducing salt intake, quitting smoking, and regular exercise, are needed. These efforts are expected to reduce the incidence of hypertension in the Parang Banoa neighborhood and improve overall community health.

Local government accounting policies provide the foundation for financial reporting. The Budget Realization Report (LRA) compares budgeted and actual figures, with the resulting balance recorded as the Sisa Lebih Pembiayaan Anggaran (SILPA, excess financing surplus). This study in East Lombok Regency aims to quantify the SILPA in the 2024 APBD and to analyze the financial accounting policies used in its determination. A descriptive approach combining qualitative and quantitative methods was applied. Data were collected via structured interviews with local finance officials, observations, and document analysis of APBD financial reports. Qualitative data were reduced and presented to describe policy factors, while quantitative analysis computed the SILPA value. Results show the 2024 LRA recorded a SILPA of IDR 6,414,658,153.17, indicating unused budget funds. These funds will finance the 2025 budget deficit for investment and equity in regional companies. The accounting policy for SILPA determination considered key principles such as prudence, substance over form, and materiality, in accordance with government accounting standards (e.g. applying the conservatism principle to avoid recognizing uncertain revenues). This analysis highlights how regional financial policies influence the management of budget surpluses.

Background: Stunting remains a major public health concern in Indonesia, affecting children’s growth, development, and long-term health outcomes (Sari, 2020). Early childhood stunting can lead to cognitive delays, poor school performance, reduced productivity in adulthood, and increased risk of chronic diseases (Hapsari & Wulandari, 2019). Understanding the interaction of demographic, socioeconomic, and health-related factors is essential to reduce stunting prevalence and improve child health outcomes (Yuliani, 2019). Objective: This study aimed to analyze the factors influencing the incidence of stunting among children attending the Sagerat Public Health Center in Bitung City. Methods: A quantitative, observational study with a cross-sectional design was conducted. Thirty children were selected using purposive sampling based on inclusion criteria such as age under five years and available anthropometric data. The Wilcoxon signed-rank test was applied to examine the relationship between these factors and stunting incidence, with a significance level set at p < 0.05. Results: The analysis showed that 30 children (100%) in the study were at risk of stunting based on height-for-age measurements, with 20 children (90%) confirmed as stunted and 10 children (10%) having normal height. These results suggest that maternal education, socioeconomic status, nutrition, and access to healthcare are strongly associated with stunting in this population. Conclusion: Factors such as maternal education, socioeconomic status, dietary intake, and access to healthcare significantly influence the incidence of stunting among children at the Sagerat Public Health Center. Comprehensive community-based programs are recommended to reduce stunting prevalence and improve long-term health outcomes for children.

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.

An employment relationship is a relationship between a worker and an employer or entrepreneur involving work, wages, and orders. One outcome of this employment relationship is termination of employment. To create a just and prosperous society based on Pancasila and the 1945 Constitution, the government has enacted laws concerning termination of employment, such as Law No. 13 of 2003 concerning Manpower, Law No. 11 of 2020 concerning Job Creation, and Government Regulation No. 35 of 2021 concerning Fixed-Term Employment Agreements, Outsourcing, Working and Rest Hours, and Termination of Employment. This research uses a normative legal method, namely examining the law as it exists or should exist, or the law in books. The research was conducted by analyzing applicable laws and regulations, using library materials or secondary data covering primary, secondary, and tertiary law. Termination of employment is the right of both parties, namely workers and employers. Both parties can terminate the employment relationship according to their respective situations or conditions. This issue often generates debate because each party has different perspectives and arguments regarding termination of employment. As a result, the amount of compensation workers receive in practice also varies. Comparing Law No. 13 of 2003, Law No. 11 of 2020, and Government Regulation No. 35 of 2021 concerning termination of employment, it is clear that the Employee Rights Act No. 13 of 2003 provides more compensation than the Job Creation Law. Therefore, in practice, many companies, including PT Kuoni Indonesia, seek ways to reduce their compensation obligations under the pretext of negotiating with employees.

This study analyzes online fraud as one of the most common forms of cybercrime in Indonesia, which has expanded alongside rapid advances in information and communication technology. These crimes utilize digital platforms such as social media, online marketplaces, and fraudulent websites to deceive victims for unlawful financial gain. The research aims to examine online fraud from a criminological perspective by identifying its causes, patterns, and relevance to routine activity theory and differential association theory. A normative juridical method is employed, using statutory, conceptual, and case-based approaches, with qualitative and descriptive analysis. The findings show that online fraud reflects a shift from conventional fraud to digital-based crimes, driven by low public awareness of cybersecurity, easy access to technology, and weak online supervision. Several fraud schemes were identified, including online investment scams, phishing, and identity impersonation. This study highlights the need for an integrated approach that goes beyond law enforcement by emphasizing digital literacy, public education, and cross-sector collaboration to reduce cybercrime in Indonesia.

Physical violence against journalists remains a serious threat that hinders the functioning of democracy in Indonesia. Law Number 40 of 1999 concerning the Press explicitly guarantees legal protection for journalists through Articles 8 and 9, which emphasize freedom from censorship and the right to seek and disseminate information. However, criminal law enforcement against perpetrators of physical violence has not been optimal, leading to a culture of impunity. This study uses a normative juridical approach by analyzing the Press Law regulations, the provisions of the Criminal Code on assault (Articles 351-355), as well as the theoretical basis of Satjipto Rahardjo's preventive-repressive legal protection and Moeljatno's law enforcement principles. The results of the study indicate a significant gap between strong legal norms and weak enforcement practices,  characterized by the dominance of mediation by the Press Council and a culture of impunity for perpetrators, often involving state apparatus. According to AJI reports from 2020-2025, there have been 84 to 89 cases annually, with only 15-20% processed criminally. The main obstacles include a lack of coordination between institutions, minimal awareness of law enforcement officials, victims' reluctance to report due to social pressure and fear of reprisals, and institutional solidarity among perpetrators. This impunity not only traumatizes journalists but also induces self-censorship, reduces investigative journalism quality, and weakens democratic checks and balances. Recommendations include revising the Press Law for stricter sanctions, enhancing law enforcement training, and establishing independent investigation teams under Komnas HAM to combat impunity effectively.