Validation of Business Model Innovation for Digitized Product and Service-Based Activities in the Core Business (A Case Study in the Microenterprise ‘Buwah’)

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The contemporary beverage sector within the Small and Medium-sized Enterprises (SMEs) domain is currently a favored industry among millennial entrepreneurs. According to the Indonesian Creative Economy Agency, the creative industry sector has the potential to contribute to national growth for business players in Indonesia. The issue faced by Buwah SMEs is a drastic decrease in revenue over the past two months, despite the promising start of their sales outlet openings.The primary objective of this research endeavor is to elucidate the business model of Buwah SMEs through the utilization of the business model validation methodology. This research seeks to delineate and validate the assumptions underpinning the innovation of product and service business models of Buwah SMEs, prioritizing those requiring immediate validation. Furthermore, the research aims to delineate strategies for business expansion predicated on digitalization, particularly in the core activities of Buwah SMEs. This research adheres to a descriptive approach with a qualitative orientation. Data collection methodologies encompass three core techniques: observation, interviews, and documentation. The research findings reveal the validation of four (4) specific blocks within the Business Model Canvas. These validations encompass hypothesis 1 within the customer segment block, hypotheses 2 and 3 within the Value Propositions block, hypothesis 5 within the customer relationship block, and hypothesis 9 within the revenue streams block. Future research recommendations include a comprehensive exploration of the Business Model Canvas blocks that have not been examined in this study, as this research only focuses on four blocks. Based on the research findings, practical recommendations have been formulated, which Buwah may judiciously consider for prospective business development endeavors.

Assessing an Indonesian Credit Union’s Internal Control Using COSO ERM Framework: A Case Study at Credit Union Kridha Rahardja

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COSO ERM framework has been widely used for assessing the quality of internal control in many forprofit companies. However, there is still limited application of COSO ERM Framework for non-profit organizations and social enterprises with dual objectives like credit unions. This research evaluates how effective and comprehensive the implementation of internal controls is within a Credit Union in Indonesia, a member-based social enterprise offering financial services to middle-low-income groups. This is a collaborative case study of the researcher and the practitioners of the credit union. Participants shared their perspectives through questionnaire feedback, interviews, and focus group discussions, to examine the control activities within the organization and identify risks that may impact the organization’s goals. The findings suggest a critical demand for forming an operational manual with detailed structures and policies. Furthermore, the sense of loyalty is the key to enhancing members’ participation in various activities within the organization.

Deciding Financial Problem Solution for a Construction Company using Fault Tree Analysis (FTA) and Fuzzy Analytic Hierarchy Process (Fuzzy AHP)

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PT X is a construction company with clients spread among Central Java, West Java, Papua, Kalimantan, and Sulawesi. This company experienced financial problem and with the absence of financial bookkeeping, the financial issue was difficult to trace and each manager and also the owner had different perceptions toward the financial problem. One said that it was caused by bad financial investment decision, many said that it is because client late payment, while the other said that it is due to lack of orders and competition. In other word, this problem is still a perceived financial problem. This research was conducted to find the root cause of perceived financial problem in PT X as well as to find the best solution to solve it. By establishing 2 methods that consisted of fault tree analysis (FTA) and fuzzy analytical hierarchy process (fuzzy AHP), employing the thinking framework of value-focused thinking (VFT), the best solution was decided. FTA was used to identify the root cause of the problem which was bad investment decision. After that, reverse brainstorming was conducted to find all possible solutions. Before jumping into alternative solutions, VFT, a thinking framework, identified that control and simplicity was the value that the owner considered. 3 alternative solutions which were asking to financial consultant, hiring financial analyst, and training current financial manager, then analysed using fuzzy AHP with context suitability, sustainability, time needed, and cost as the criterion, and found out that training current financial manager is the best alternative to be chosen.

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.