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This study examines risk management and communication strategies implemented by Shell Indonesia in addressing the issue of layoffs (PHK) triggered by the policy of restricting fuel imports (BBM) in 2024–2025. The main objective of this research is to explain how the company manages risks related to layoffs and analyze the communication strategies used in responding to public perceptions regarding the policy. This study uses a literature review method with a descriptive qualitative approach, where the author utilizes secondary data obtained from academic articles, media reports, and official company documents. By focusing on risk management and communication during a crisis, this research is expected to provide insights into how large companies like Shell Indonesia face challenges arising from government policy changes and their impact on industrial relations and company reputation. The findings of this study can contribute to corporate communication practices in managing crises and efforts to maintain operational sustainability.

This study aims to analyze the internal and external conditions of Karel Workshop in Wairhubing, Sikka Regency, using a SWOT approach (Strengths, Weaknesses, Opportunities, and Threats) as a basis for formulating business development strategies. The research employed a qualitative descriptive method with data collected through in-depth interviews with the owner, employees, and customers, as well as secondary data from documents and official statistics. The findings indicate that Karel Workshop possesses several strengths, including meticulous service quality, strong interpersonal relationships with customers, and mechanic skills acquired through self-learning. However, the workshop also faces weaknesses such as limited equipment, the absence of a structured management system, and a lack of digital promotion. Opportunities that can be utilized include high public interest in motorcycle modification, potential motorcycle painting services, a strategic location, and possible partnerships with spare-part suppliers. Meanwhile, the main threats include rising spare-part prices, competition among workshops, and occupational safety risks. Overall, the study recommends strengthening digital promotion, improving business management, enhancing workshop facilities, and implementing safety standards to support the sustainable development of Karel Workshop. 

This study aims to analyze the internal and external conditions of Karel Workshop in Wairhubing, Sikka Regency, using a SWOT approach (Strengths, Weaknesses, Opportunities, and Threats) as a basis for formulating business development strategies. The research employed a qualitative descriptive method with data collected through in-depth interviews with the owner, employees, and customers, as well as secondary data from documents and official statistics. The findings indicate that Karel Workshop possesses several strengths, including meticulous service quality, strong interpersonal relationships with customers, and mechanic skills acquired through self-learning. However, the workshop also faces weaknesses such as limited equipment, the absence of a structured management system, and a lack of digital promotion. Opportunities that can be utilized include high public interest in motorcycle modification, potential motorcycle painting services, a strategic location, and possible partnerships with spare-part suppliers. Meanwhile, the main threats include rising spare-part prices, competition among workshops, and occupational safety risks. Overall, the study recommends strengthening digital promotion, improving business management, enhancing workshop facilities, and implementing safety standards to support the sustainable development of Karel Workshop. 

Business legality is an urgent need for MSMEs, particularly in the food sector, which faces strict regulations and high risks to food safety. However, many MSMEs still lack a Business Identification Number (NIB) or Intellectual Property Rights (IPR) protection due to low digital literacy and a lack of understanding of licensing procedures. This situation emphasizes the urgency of mentoring so that MSMEs can operate legally and be legally protected. This Community Service Program (PKM) aims to assist the Golden Kriuq MSME in obtaining an NIB and increase business owners' understanding of the importance of IPR, branding, and digital marketing. The implementation method uses a qualitative approach through observation, interviews, education, documentation, and direct mentoring. Activities carried out include NIB registration through the OSS Indonesia application, logo, banner, and menu design, business Instagram account creation, location determination on Google Maps, and education on the stages of brand registration through the DJKI system. The results show that Golden Kriuq successfully obtained an NIB, has a more consistent visual identity, and has a more professional digital presence. The program's impact is evident in increased awareness of legality, digital administration readiness, and businesses' ability to compete more professionally and sustainably.

Advances in information technology increasingly require communities to adapt to digital communication tools, particularly email, which functions as a key digital identity for account registration, information exchange, and online transactions. Despite its importance, digital literacy remains limited among the general public, especially rural housewives, many of whom lack awareness of the need for email accounts, have limited operational skills, and are vulnerable to cyber risks such as phishing and data theft. To address this issue, a workshop entitled “Fundamentals of Using Gmail and Account Security” was conducted for the PKK women’s group in Jompo Kulon Village to improve basic digital skills and promote safe online practices. The program aimed to introduce the functions and benefits of email, assist participants in independently creating Gmail accounts, provide knowledge on securing accounts through two-factor authentication, and train participants to send and receive emails. The workshop was delivered through an interactive face-to-face approach combining short presentations and hands-on practice using participants’ mobile devices. Initial sessions explained email as a digital identity, followed by guided account creation and security setup. The final session focused on practicing email communication to reinforce understanding. The results showed high participant engagement, with most participants successfully creating Gmail accounts, understanding essential digital security concepts, and demonstrating basic email usage skills. Overall, the activity increased awareness of personal data protection and is expected to serve as an initial step in strengthening digital literacy among women, enabling them to better adapt to ongoing technological developments.

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.  

Rainfall plays a crucial role in determining flood risk, particularly in regions with high precipitation intensity and limited drainage capacity. Langkat Regency in North Sumatra is one of the areas frequently affected by seasonal flooding. This study aims to model the spatial distribution of rainfall and estimate the rainwater volume using the double integral approach as a basis for flood mitigation planning. Monthly rainfall data from various observation stations in 2024 were processed to obtain the average rainfall intensity, which was then converted into meters and multiplied by the total area of Langkat Regency to compute the rainwater volume. The results indicate that the total estimated rainwater volume throughout 2024 reached 16,409,819,800 m³, with peak precipitation occurring from September to November, contributing significantly to the increasing flood risk in low‐lying zones and riverine areas. These findings demonstrate that the use of double integrals is an effective quantitative method for predicting potential flood volume based on rainfall distribution. The outcomes of this study are expected to serve as a scientific reference for local governments in developing data-driven flood mitigation strategies, such as improving drainage capacity, constructing retention basins, and strengthening watershed management.

This research extends the previous work of Tsaqila, Winiarti, and Widaningrum (2024), who applied the Complex Proportional Assessment (COPRAS) method within a decision support system for supermarket branch location selection. Unlike the prior study, which focused on Ponorogo through a web-based framework, this study expands the implementation of COPRAS to the Medan Area, Medan Kota, Medan Polonia, dan Medan Maimun districts, adapting it to local urban, social, and economic characteristics. The main objective is to identify the most strategic site for a new supermarket by analyzing multiple criteria, including land cost, population density, accessibility, safety, cleanliness, and disaster risk. Data were collected from both field surveys and official government publications. The findings reveal that the COPRAS method provides reliable and objective assessments among the evaluated alternatives, with Medan Area emerging as the most suitable location for supermarket development. Overall, this study broadens the practical scope of the COPRAS method in a different regional context and reinforces its reliability and adaptability as a multi-criteria decision-making tool in the modern retail industry.

This quasi-experimental study examines the effectiveness of Artificial Intelligence (AI)-assisted learning in enhancing critical thinking skills among undergraduate history students. The study involved 60 students divided into experimental and control groups. The experimental group received AI-supported instruction integrating adaptive learning modules, scaffolded source-analysis prompts, and guided argumentative discussions facilitated by conversational AI tools, while the control group followed conventional lecture-based instruction. Data were collected using a validated critical thinking test, classroom observation protocols, and semi-structured interviews. Quantitative data were analyzed using paired and independent sample t-tests, while qualitative data were examined through Miles and Huberman’s interactive analysis model. Results indicate statistically significant improvements in critical thinking scores in the experimental group compared to the control group. Thematic findings reveal enhanced sourcing, contextualization, corroboration, and evidence-based argumentation skills. However, minor risks of over-reliance on AI highlight the need for instructional scaffolding and ethical guidance. The findings suggest that AI can function as a cognitive scaffold that strengthens historical thinking and metacognitive awareness when implemented within a structured pedagogical framework.

The objective of this study is to investigate several facets of the role that educators play in the verbal abuse and bullying prevention of students at SMP Negeri 1 Tanjung Raja in Tanjung Raja District, Ogan Ilir Regency. The qualitative descriptive method is being used in this study. The researchers conduct observations and interviews as part of their data collection methods. There were seven informants in total for this investigation. This study is being conducted at Tanjung Raja sub-district, Jalan Sultan Mahmud Badaruddin II, in the Ogan Ilir Regency. The study's findings indicate that educators have a positive impact in educating students about bullying and how to protect themselves from various risks. In addition to this, the role of the teacher and the curriculum in the school is crucial in providing a safe and nurturing environment for the development of the students. It is anticipated that the research findings will be able to make a contribution to more effective education reform in SMP Negeri 1 Tanjung Raja and other schools.  

Private vehicles are a frequently used mode of transportation because they are considered more practical. However, using private vehicles carries several risks, such as traffic accidents due to drivers losing focus on the road due to other activities, such as making calls on smartphones, drinking, or operating the radio. Approximately 90% of accidents are caused by human error. Convolutional Neural Network (CNN) is a type of neural network commonly used on image data. CNN is often used for image classification due to its high performance and accuracy. Therefore, this study aims to analyze the performance of CNN for the classification of distracted driving activities. The results show that the CNN model is able to effectively classify images of distracted driving activities, with an accuracy of approximately 99% across all datasets and across all input image size variations. Furthermore, the results of this study also show that differences in right-hand and left-hand drive datasets do not significantly affect model accuracy. Variations in input image size also do not significantly affect model accuracy, but do affect the training duration.

This study aims to explore the phenomenon of fundraising conducted in the name of Buddhism and humanity in Kisaran City, North Sumatra, using a qualitative approach. Data was collected through direct observation, in-depth interviews with the participants, and document analysis related to the fundraising activities that had been conducted. The research findings show that fundraising is carried out in various forms, such as food donations, social activities, and online donations. All of these activities are rooted in Buddhist values, particularly dana (giving) and karuna (compassion). The use of digital technology, especially online donation platforms, has increased community participation and transparency in the fundraising process. However, the study also identified challenges such as the lack of accountability in managing the funds and the risk of misuse that could undermine public trust. In this context, transparency and active community involvement are essential to building trust and ensuring the effectiveness of religious philanthropy. The study concludes that the sustainability of Buddhist fundraising practices in modern society can be achieved by combining spiritual integrity, good governance, and appropriate technology adaptation. Through this holistic approach, Buddhism-based fundraising can remain relevant and effective in supporting humanitarian activities in the digital age.

This community service program aims to optimize construction project planning through assistance in preparing a business feasibility study at PT Sahabat Anugrah Sejati. The construction sector is a strategic industry that requires effective resource management, proper risk mitigation, and accurate planning to ensure project success. Therefore, the program supported the partner in analyzing financial, managerial, market, and economic aspects prior to making investment decisions for the proposed project. The results show that the project is feasible based on the Net Present Value (NPV) and Internal Rate of Return (IRR) analyses. An efficient organizational structure, a competent management team, and strong supervision mechanisms further strengthen the project’s operational readiness. Increasing demand for construction services also enhances the company’s market prospects. However, several areas still require improvement, including heavy equipment utilization, material efficiency, and digital marketing strategies. This program provides strategic recommendations to help PT Sahabat Anugrah Sejati improve project feasibility, operational effectiveness, and long-term business sustainability.

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.

The rapid development of digital technology, especially after the COVID-19 pandemic, has brought changes to people's behavior and lifestyle with the trend of digital payments. One of the advances in digital financial services technology is PayLater, a Fintech innovation that offers easy transactions in the form of loans and installments without a credit card. This study aims to analyze the influence of transaction convenience and risk perception on purchasing decisions using the PayLater feature on e-commerce platforms among Generation Z in Samarinda City. This study uses a quantitative approach with associative methods and multiple linear regression analysis using SPSS 27. The method used is purposive sampling to obtain a sample of 100 respondents from Generation Z in Samarinda City, aged 18-28 years, who have used PayLater on e-commerce platforms. The findings show that transaction convenience (X1) has a positive and significant effect on purchasing decisions, but risk perception (X2) does not have a significant effect on purchasing decisions. At the same time, both variables have a significant effect on purchasing decisions. The findings of this study are expected to provide valuable insights for the PayLater feature to design more effective strategies to improve customer satisfaction and transaction experience.

The rapid growth of e-commerce has increased the strategic role of freight forwarding and delivery service companies in maintaining the efficiency of supply chains. However, the increasing complexity of delivery processes also raises various operational risks, such as package damage, loss, delivery delays, and distribution errors. This study aims to analyze the implementation of risk management in freight forwarding companies operating in Brebes Regency and to assess the effectiveness of the risk management practices applied. This research employs a descriptive qualitative approach, with data collected through in-depth interviews, observations, documentation, and questionnaires. Informants were selected using purposive sampling, involving company management, operational staff, couriers, and customer service personnel. Data analysis was conducted using the Miles and Huberman interactive model and supported by average risk score analysis. The results show that most aspects of risk management fall into the high and very good categories, with an overall average score of 3.89. This indicates that the company has implemented risk management effectively, particularly in incident evaluation, risk measurement, and cooperation with insurance providers. Nevertheless, improvements are still needed in reducing the frequency of operational risks and enhancing the use of digital technology for risk monitoring to ensure a more comprehensive and sustainable risk management system.

The development of artificial intelligence has revolutionized higher education by increasing the efficiency and personalization of learning, but it has also posed a major challenge in the form of a decline in students' critical thinking skills due to their dependence on technology. Therefore, an in-depth philosophical study through the post-positivism, critical theory, and constructivism paradigms is needed to understand its impact on cognitive and epistemological processes. This study aims to analyze how these three paradigms guide the development of critical thinking in the context of AI. It uses a descriptive-analytical method based on secondary data from academic literature such as journals and books that have been critically synthesized. The findings show that post-positivism views AI as a tentative critical realism tool for empirical verification. Critical theory critiques power relations, ideology, and the ethics of technological domination. Constructivism emphasizes the construction of social knowledge through human-centered design that supports creativity and collaboration. The positive impacts of AI include instant feedback and content adaptation, while the negative impacts include social isolation, weak digital literacy, and data privacy. Therefore, the implication is the wise use of AI with the assistance of teaching staff to strengthen reflective analysis, ethical literacy, and paradigm adjustments in accordance with the exact or social sciences to create multidimensional learning in the digital era.

This study analyzes the forms of risk and risk management strategies in melon farming in Brebes as an impact of climate change. A descriptive qualitative approach was applied using a case study through in-depth interviews with a farmer who has more than ten years of experience, supported by secondary data from BPS, BAPPENAS, and related literature. The findings reveal four categories of major risks: market, financial, operational, and socio-environmental. High-level risks include climate variability, yield decline, and pest attacks. Medium-level risks involve production costs, water management, and price fluctuations, while low-level risks consist of limited weather information and agricultural extension services. Current strategies are still basic, including fertilization, pesticide application, and water channel arrangement. Strengthening adaptation is needed through irrigation technology, climate-resilient varieties, marketing diversification, and improved access to information and institutional support.

This study developed the Weton-Based Leadership Model as a leadership framework that integrates Javanese cultural values from the weton system with modern leadership theories, such as transformational, servant, charismatic, and situational leadership. Using a postmodern paradigm with an exploratory qualitative approach, this study utilizes pattern matching and explanation building methods through in-depth interviews with cultural experts and human resource management practitioners, as well as analysis of Javanese cultural documents. The results of the study identify five key components in the model, namely self-awareness, value alignment, situational adaptability, team harmony, and risk governance. These five components interact with each other to form contextual leadership that is in harmony with personal identity, organizational culture, and environmental demands. The practical implications of this study include the use of weton as a reflective instrument in recruitment, personalized leadership development, and the strengthening of an inclusive organizational culture. Further research is recommended to test this model in various industrial contexts through quantitative methods and longitudinal approaches.