Teaching Mathematics with the Assistance of an AI Chatbot to Enhance Mathematical Thinking Skills for High School Students

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The paper introduces the concepts of thinking and mathematical thinking, emphasizing the significance of mathematical thinking in problem-solving and the development of mathematical skills. It elaborates on the process of mathematization, highlighting its role in fostering problem-solving abilities. Furthermore, the article discusses Teaching with the assistance of an AI Chatbot, the objectives of high school mathematics programs, and presents the Teaching Process in Mathematics with the assistance of an AI Chatbot to develop mathematical thinking skills for students. This process includes steps such as defining goals, logging into the AI Chatbot, identifying learning tasks, problem-solving, learning, application and experience, assessment, conclusion, analysis, inference, and mathematical problem-solving. The integration of the AI Chatbot is emphasized, creating a dynamic learning environment that supports students. The AI Chatbot not only provides knowledge but also stimulates curiosity and creativity, helping students understand and apply mathematics to real-world scenarios. The paper provides scientific insights into the application of AI technology in mathematics education, supporting the learning process and developing the mathematical thinking of high school students.

The Effect of Corporate Social Responsibility Disclosure, Dividend Policy on Earning Management with Audit Quality as Moderation Variable in Listed Manufacturing Companies in Indonesian Stock Exchange (2018-2022)

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This research aims to test and prove empirically the effect of independent variables, namely corporate social responsibility disclosure, dividend policy on the dependent variable is earnings management and audit quality moderating variables. The research method used is quantitative research in the form of correlational research using panel data from company financial report taken at PT www.idx.co.id. The sampling technique in this research was purposive sampling with a total sample of 122 manufacturing companies listed on the Indonesia Stock Exchange for the 2018-2022 period. The data analysis method used is multiple linear regression using the EViews application. The research results found that corporate social responsibility has no effect on earnings management. Dividend policy has a negative effect on earnings management. Audit quality is unable to moderate the influence of corporate social responsibility on earnings management. Audit quality is unable to moderate the influence of dividend policy on earnings management. The Adjusted R2 value shows that 1.65% of earnings management can be explained by corporate social responsibility and the remaining 98.35% of dividend policy is influenced by other variables not examined in this research.

Facial Skin Management: Strategies for High-Performance Athletes

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As high-performance athletes age, they become more prone to facial aging due to various factors such as sun exposure, oxidative stress, and intense exercise routines. This review emphasizes the significance of orofacial harmonization (OFH) using non-invasive aesthetic treatment options for athletes. To gather information on contemporary treatments for facial skin management in high-performance athletes, a narrative literature review was conducted using PubMed and EBSCO databases. Articles that involved invasive procedures, had extended post-operative periods, or required prolonged rest were excluded since athletes need to recover swiftly to sustain their training routines. The literature supports the effectiveness of non-invasive procedures such as platelet-rich plasma (PRP), topical growth factors delivery, neuromodulators, and tissue bio-stimulators in reducing wrinkles, expression lines, and skin pigmentation in athletes. These interventions also demonstrate improvements in skin elasticity and hydration. In conclusion, non-invasive OFH procedures could help reduce the effects of skin aging in high-performance athletes. However, it is essential to consider the unique needs and recovery timelines of athletes when selecting OFH treatments. Non-invasive procedures with minimal downtime are often preferred to minimize disruptions to training schedules.

Global Stability Study of a Reinforced Concrete Building: Comparison between Grid and Space Frame Model with an Integrated Model

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The verticalization in large urban centers has provided a series of new challenges for large buildings designers. The slender the structures are, more susceptible they are to second-order global efforts, making its verification indispensable for any reinforced concrete structure. As allies, technological advances and the processing power of computer systems have enabled greater productivity in the verification of the global stability of large buildings. Over the years, several structural models have been implemented in structural analysis and design, aiming to better simulate the actual behavior of structures. In view of this, the present work aims to perform a comparative analysis of the global stability of a reinforced concrete building, using the grid models associated with the space frame and the integrated model. Moreover, the research aims to verify the importance of the structural elements in the global stability of the building. In study two different structural systems were employed for the same building, verifying through the TQS software the conception that presents the best behavior according to the model used. Based on the results obtained, some guidelines are proposed regarding the use of structural models, indicating which one presents the best behavior according to the characteristics of the building.

Data-Driven Decision Making: Financial and Risk Analysis on Equipment Procurement at PT ABC Using Predictive Data Estimation, NPV Analysis, Owner Estimate, and Monte Carlo Simulation

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This research delves into strategic financial management solutions for PT ABC during the COVID-19 pandemic, concentrating on the procurement of vital airport equipment. It examines the feasibility of securing essential equipment such as ARFF vehicles, X-ray machines, ambulances, and narcotics & explosive detectors amidst financial challenges. Utilizing financial models like predictive data estimation, Net Present Value (NPV) analysis, owner estimates, and Monte Carlo simulations, the study evaluates risk probabilities and distributions linked to different procurement strategies. The research underscores the pandemic’s profound impact on the global aviation sector, notably the steep decline in passenger traffic and resulting financial strains on PT ABC. Facing stringent regulatory obligations and the urgent need for equipment upgrade, the study investigates cost-effective procurement avenues, weighing the benefits of leasing against purchasing, given the company’s constrained cash flow. The study navigates through the challenges of limited RFI data and internal corporate regulations that restrict leasing durations. It provides a detailed financial analysis to pinpoint the most economical vendors and procurement approaches, leveraging owner estimates as a negotiation tool. Risk evaluation is conducted via Monte Carlo simulation, offering insights into the likelihood and impact of procurement-related risks. Concluding, the research finds that PT ABC can best manage its procurement needs by opting for leasing over buying. This approach aligns with the company’s financial strategy amidst the crisis, allowing for the acquisition of necessary equipment within financial limits. The study identifies Vendor A for ARFF vehicles, Vendor D for X-ray machines, Vendor E for ambulances, and Vendor G for narcotics & explosive detectors as the most cost-effective choices. Leasing, particularly on a 3-year term, emerges as the most viable financial option, in compliance with PT ABC’s internal regulations and operational requirements. Utilizing owner estimates for negotiations ensures more cost-effective procurement. The Monte Carlo simulation proves invaluable in evaluating procurement risks, indicating a higher risk associated with buying than leasing. This research aids PT ABC in strategic decision-making for equipment procurement, offering lessons for the broader aviation sector navigating post-pandemic recovery.

Job Cat Egory Prioritization and Selection in PT.MAI 88 Using Analytical Hierarchy Process (AHP)

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PT. MAI 88, one of the government company divisions in the Pekanbaru City which operates in the fields of Public Works, Spatial Planning, Housing, Settlement Areas and Land. PT.MAI 88 experienced difficulties, namely that material resources were not allocated properly. With the main aim of prioritizing the procurement of goods for road and bridge construction maintenance, this research focuses on one of the uses of Multicriteria Decision Making (MCDM), namely the Analytical Hierarchy Process (AHP) to determine the ranking of each construction goods procurement job. The AHP method itself has been discussed with stakeholders involved in the project. It has four categories and thirteen subcategories that have been determined and lead to 12 job alternatives. The results of the AHP show that the criteria with the highest weight starts from Urgency followed by Public Satisfaction, Quality, and Cost Management. Then for the Sub criteria with the highest weight, namely Reports from local public, followed by Traffic Management, Long-term Durability and Reliability, Compliance with specifications and Standards, Labor Cost, Public Safety, Rent Construction Equipment, Resources Availability, Material Cost, Public Engagement and Communication, Stakeholder Expectations, Ease of Installation and Integration, and finally Subcontractor Cost. The alternatives with the highest weight are Procurement of Road Signs, Procurement of “Urugan Pilihan”, Procurement of Base A Stones, Procurement of Base B Stones, Procurement of Several Construction Equipment, Procurement of Asphalt Concrete Binder Course, Procurement of Non-subsidized diesel fuel , Procurement of Dump Truck, Procurement of Binder Absorbent layer, Procurement of material for Culvert Channels and Boxes, Procurement of Construction Retaining Wall, Procurement of Cementation Work.

Analyzing the Financial Efficiency and Stability of FMCG Companies in Indonesia: A Study of Inventory Turnover and Debt-to-Equity Ratios

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Fast Moving Consumer Goods (FMCG) companies tend to have rapid shelf turnover. It is identical with financial measurement on its inventory turnover rate. This is because FMCG companies typically have their inventory stored in warehouses in order to fulfill their customers’ fast demands of their products. Hence; when a company has a low inventory turnover; it means that their products are not selling as fast as they should; affecting their inventory management efficiency as well as their expenses. Where a company has successfully balanced their inventory management, a manageable debt-to-equity ratio is also good to avoid excessive financial risk for the company. Company’s solvability depends on how liquid is the company and how well they could pay off its debt; this also relates to how they finance their company which is where the calculation of D/E ratio is useful. This determines whether the company uses equity to finance their operations or instead rely on debt to finance their operational expenses. The result of analysis have shown that companies with high inventory turnover ratio like PT Buyung Poetra Sembada Tbk, PT Tigaraksa Satria Tbk, and PT Akasha Wira International Tbk with a positive net income and high inventory turnover rate tend to have stable and low numbers of D/E ratio while 64.37% of companies in Indonesia still have ITR that is way below nationwide average. A high inventory turnover translates to faster cash flow, allowing these companies to repay debt more quickly and maintain a low D/E ratio. This research will be designed qualitatively by using the quantitative numbers given from companies publicly posted financial statements and annual reports with complementary knowledge from secondary data derived from the company’s website and other resources including reputable journals, mass media, and online articles. Research will then begin with a preliminary analysis to obtain listed FMCG companies in Indonesia, then curate them based on their current inventory and D/E Ratio. Comparison of the companies’ financial performance is done by using their data from the year end 2022; the data obtained will then be calculated to produce numbers of inventory turnover ratio, D/E ratio, and ROA ratio to be able to draw the conclusion from the numbers produced. Three companies with the highest and lowest number of inventory turnover ratio and D/E ratio are then picked along with analyzing their financial statements to determine the companies’ net income. Additional list of some of the biggest FMCG companies in Indonesia is also included in order to be able to see the overall strategy of performance of a company who had been long in the industry. Through the analysis, the correlation of inventory turnover and D/E ratio within the company indeed impact financial performance stability of the company in a way that a lower D/E which means that they will have less financial risk and more stability. Companies can be benefitted to be able to stay stable in the market facing the volatile economic conditions and industry downturns; lower D/E can also mean more flexibility for future investment. Lenders will more likely to lend more money when indeed to the companies who have lower D/E ratio compared to other companies with higher D/E. A high ITR and low DER can make a company  more agile, reduce the burden of interest payments, which eventually will make it easier for the company to invest in profitable opportunities, and lead to  higher ROA.

The Influence of Technological Literacy, Education, and Employment on Poverty in Kalimantan

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Poverty is a condition in which individuals or groups lack sufficient resources to meet their basic needs. It is a fundamental issue that can affect the economic growth rate of a region. This study aims to analyze the influence of labor force absorption, percentage of computer users, telecommunications consumption, and education level on the number of poor people in the provinces of Kalimantan Island from 2018 to 2022 using panel data regression analysis. The results from the selected Fixed Effects model indicate that telecommunications consumption has a positive impact on the number of poor people, while the education level has a negative impact on the number of poor people. However, labor force absorption and the percentage of computer users do not significantly influence the number of poor people. Based on the research findings, it is hoped that the government can create an extensive telecommunications network. The expectation is that communication facilities and infrastructure will be widely available, leading to reduced telecommunications expenses for the population, allowing them to allocate their money towards daily essential needs. Additionally, adequate communication facilities are expected to aid the teaching and learning process in Kalimantan Island, as the improvement in educational quality has proven to decrease the poverty rate during the research period.

 

Feasibility Study for Investment as Agent (Case Study: PT. Tirta Chemoil)

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After the financial sector underwent a dramatic transformation in 2020, primarily brought on by the COVID-19 Pandemic, certain areas of the market have recovered while others are still struggling to recover from the financial losses brought on by the pandemic. Despite the drop of sales, and the growth trend was declining. PT. Tirta Chemoil show a good trend of oil sales that shows it is gradually increasing from 2018 which means that oil industry is generating a good revenue to the company. Thus, being told that there is an opportunity to be an agent of brand R, the stakeholder asked me to do the financial feasibility study to see whether their investment are worth it and able to generate a return in 10 years ahead. The research objectives on this study mainly about the feasibility of the company invest in being an agent for the lubricants oil brand. The feasibility study mainly use the indicator on discounted cash flow (DCF) such as net present value (NPV), internal rate of return (IRR), Profitability Index (PI), and payback period. This feasibility study use sensitivity analysis to see the effect on the change of price and quantity to the generated NPV, also use monte carlo analysis to complete with the simulation analysis. Lubricants industry in Indonesia is growing year to year and projected to generate a constant growth on the next few years. The segmentation is all of the industrial oil, targeting West Java market especially industry that use lubricants as the main component for their machinery, and positioning in a premium grade oil. The generated NPV is Rp 5,394,761,715.48, IRR 46%, PI 5,94, and payback period in 4 years. The conclusion is PT. Tirta Chemoil should take the chance to invest in the new product with lowering the initial investment and Capital expenditure so that the payback period can be faster and it can generate more revenue.

Improving Corporate Shared Value to Reach Competitive Advantage in Banking Industry

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This research delves into the integration of Corporate Shared Value (CSV) within the banking industry, focusing on its role in fostering competitive advantage particularly in developing countries, with a certain emphasis on Indonesia. It scrutinizes the strategic implementation and effectiveness of CSV practices, contributes to both social impact and profitability, especially in the context of PT Bank XYZ. The study investigates Bank XYZ’s innovative initiatives, including the ‘Enhance Young MSMEs’ program, aimed at empowering Indonesian MSMEs. This program supports scale up to international market, digital transformation, modern practices, branding enhancement and financial literacy, aligning with Indonesia’s ‘Emas 2045’ vision. The research employs a combination of literature review and qualitative analysis, including interviews with Bank XYZ representative and MSME participants, to understand CSV’s role in banking and its impact on competitive advantage in developing countries.