International Journal of artificial intelligence research (IJAIR)
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    271 research outputs found

    Analysis of the Influence of Green Supply Chain Management and Competitiveness on the Sustainable Performance

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    Competition in the era of globalization is characterized by changes that are increasingly open, complex and competitive both in the internal and external environment of the company. These socioeconomic changes bring obstacles and challenges that must be overcome. Consequently, every company must develop its business strategy in order to compete. But in reality, many companies are unable to survive, so they must review their strategies and consider the concept of supply chain management. Today companies are faced with a global economy that affects prosperity but also has an impact on environmental degradation such as climate change, ozone layer depletion, biodiversity loss, pollution, degradation and depletion of air, water, minerals and soil. Green Supply Chain produces a competitive strategy for now so that business actors need to manage managerial activities with environmental issues. These issues become important for companies because stakeholders are required to address environmental and social sustainability in business operations. South Minahasa Regency is one of the districts that has abundant fishery resources and potential to be developed. This is supported by the vast sea and coastal areas. The production of fisheries sub-sector is very diverse, both in traditional and modern processing, but its management needs to consider various aspects, both economic, social and environmental aspects. The purpose of this study is to analyze the implementation of green supply chain management and competitiveness for sustainable performance in fisheries sub-sector businesses in South Minahasa Regency, North Sulawesi Province. The respondents of this study are business actors in the fisheries sub-sector using the Partial Least Squere (PLS) analysis. The results of the study are expected to contribute to sustainable business performance in the fisheries sub-sector

    The Role Of Instagram As A Promotional Media In Increasing The Number Of Visitors

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    This study aims to investigate the use of Instagram as a promotional medium. A qualitative research methodology with a case study approach was adopted, and Cafe XYZ in Jakarta was chosen as the research object. The findings shed light on the effectiveness of using Instagram for marketing purposes. Data collection comprised interviews, observation, and documentation from a range of participants, including owners, customers, employees, and followers of Cafe XYZ. The analysis investigated the factors that motivate Cafe to promote its products on Instagram. Utilizing customer reviews and advertising menus for sale are key strategies. The effectiveness of Instagram for promotion stems from its universal social media usage across all age groups. Additionally, its advanced features allow users to easily search for locations and explore products via hashtags (#)

    Expert System for Diagnosis of Lung Disease from X-Ray Using CNN and SVM

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    The lung disease diagnosis expert system utilizes human knowledge to diagnose various conditions affecting the lung. Diseases caused by fungal or bacterial infection in the organ can cause inflammation as well as death when it is not detected on time. A standard method to diagnose these conditions is the use of a chest X-ray (CXR), which requires careful examination of the image by an expert. In this study, several CNN and SVM architectural models were proposed to classify CXR images to diagnose whether a person has COVID-19, Viral Pneumonia, Bacterial Pneumonia, Tuberculosis (TB), and Normal. The experiment showed that InceptionV3 had the best results compared to other CNN architectures and SVM. Classification accuracy, precision, recall, and f1-score of CXR images for COVID-19, Viral Pneumonia, Bacterial Pneumonia, TB, and Normal were 0.86, 0.91, 0.91, and 0.91, respectively. This study was based on a deep learning system with different CNN and SVM architectures that can work well on the CXR images dataset for diagnosing lung disease

    Investigation of Determinants of Financial Distress in Manufacturing Companies

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    Financial distress refers to a continuous decline in a company's financial performance, necessitating prediction and mitigation. It typically begins with the company’s inability to meet its short-term obligations, signaling a deterioration in financial condition. This study aims to examine the effects of Return on Assets (ROA), Current Ratio (CR), and Debt to Equity Ratio (DER) on financial distress, with company size serving as a moderating variable. The research employs regression analysis and quantitative methods, focusing on manufacturing firms listed on the Indonesia Stock Exchange that consistently published financial reports from 2020 to 2023. Using purposive sampling, the study selected 40 samples from 10 companies, with data analyzed through Partial Least Squares-Structural Equation Modeling (PLS-SEM). The findings reveal that ROA significantly impacts financial distress, while CR and DER have no such effect during the observed period. Furthermore, company size moderates the relationship between ROA and CR with financial distress but does not moderate the influence of DER on financial distress. These results provide managerial implications, serving as indicators for corrective actions to prevent financial distress or potential bankruptcy in manufacturing companie

    The Influence Of Marketing, Product And Brand Communications On Purchasing Decisions In The Digital Era

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    The purpose of this research is to determine the influence of marketingcommunications, products and brands on purchasing decisions in theDigital Era. The method in this research is survey research with aquantitative approach, assessment based on numbers using statisticalcalculations, using simple random sampling techniques and datacollection techniques in this research using library research, fieldresearch, observation and questionnaires. This research used a sample of100 potential consumers who had experience purchasing products orservices in the digital era. Data was processed using SPSS version 25.The research results show that the Marketing Communication variable(X1) partially has a significant positive effect on Purchasing Decisions(Y) with a t-count value > t-table (2.926 > 1.988) with a value (sig) of0.004 t-tablevalue (2.033 > 1.985) with a value (sig) 0.045 t-table (-1,000 0.05 . And thevariables marketing communication (X1), Product (X2) and BrandPerception (X3) simultaneously have a significant positive effect on thePurchasing Decision variable (Y) F-count value > F-table or 8.511 >2.70 and significant < 0.05 (0.000 < 0.05). The coefficient ofdetermination (adjust R Square) is 0.925 or 92.5%, which means thatthe independent variables consisting of marketing communications(X1), products (X2) and brands (X3) can contribute an influence of 21%and the remaining 79%. influenced by other factor

    Information on Online Promotion Strategies Based on Go-Food Applications in Creating Marketing Effectiveness

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    The research aims to explore the effectiveness of online promotion strategies through the Go-Food application for culinary MSMEs in Jakarta. This research explores the benefits and disadvantages of using online promotional strategies through the Go-Food application. Effectiveness is measured by the number of advantages obtained compared to the losses experienced. The research method is a case study with a qualitative approach. Data collection techniques were carried out using interviews, observation, documentation and literature study. The number of informants studied was 5 informants. The research results show that the online promotion strategy through the Go-Food application has benefits: increasing the number of consumers, expanding the market, increasing income, as a promotional medium, time efficiency and increasing credibility, while the disadvantages can be overcome by technological development carried out in the Go-Food application. Thus, the advantages of using an online promotion strategy through the Go-Food application outweigh the disadvantages, so it can be concluded that the online promotion strategy through the Go-Food application is effective for culinary MSMEs

    Turnover Intention: Career Development and Compensation Approach, and Job Satisfaction as an Intervening Variable

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    This study aims to determine the effect of career development and compensation variables on turnover intention with job satisfaction as an intervening variable for employees of Hotel Leuweung Geledegan Ecolodge Bogor. This sampling uses a saturated sample technique or non-probability sampling, with a total of 50 permanent employees except the General Manager. Measurement in the questionnaire using a 5-item Likert scale. The data analysis technique in this study used the IBM SPSS v25 software application with the path analysis method. The analysis used in this study includes a validity test, reliability test, normality test, coefficient of determination test, F test, t-test, and Sobel test to determine the mediating effect. The results in this study indicate that 1) Career development and compensation simultaneously have effect and significant on job satisfaction, 2) Career development has a positive and significant effect on job satisfaction, 3) Compensation has a positive and significant effect on job satisfaction, 4) Career development, compensation and job satisfaction simultaneously and significantly on turnover intention, 5) career development has a negative and significant effect on turnover intention, 6) compensation has a negative and significant effect on turnover intention, 7) job satisfaction has a negative and significant effect on turnover intention, 8) career development has no indirect effect on turnover intention through job satisfaction, 9) compensation does not have an indirect effect on turnover intention through job satisfaction

    Improving the Performance of Higher Education Academic Information Systems Using Cloud Computing Technology

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    Improving the performance of academic information systems using cloud computing technology is very relevant and important. The application of cloud computing technology to higher education academic information systems can also help improve data security and information risk management.  The research results show that cloud computing technology significantly improves the performance of academic information systems in higher education. This technology enables faster and easier access to academic information, and strengthens data management and data analysis capabilities. 

    Teaching Factory Implementation Case Study in Beauty and Make up Competency

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    The teaching factory is a production-based learning model designed to integrate educational environments with real-world industry practices. This model emphasizes collaboration between schools and industries to produce real products and services that are market-ready. By implementing this concept, students gain hands-on experience by directly practicing in laboratories or workshops. These sessions involve producing goods or services that are later sold to consumers, providing learners with practical exposure to the production and business process. The teaching factory concept bridges the gap between theoretical learning and industrial application. Students are not only taught academic content but are also equipped with essential skills for the workforce. This model ensures that they gain industry-relevant competencies, making them better prepared for future careers. Furthermore, it nurtures entrepreneurial skills by exposing students to real market dynamics and business challenges. This study focuses on exploring the implementation of the teaching factory model in SMK PGRI 1 Kudus. A qualitative research approach was employed, using a single case study method to deeply analyze the practice. Data collection techniques included a literature review, in-depth interviews, observations, and documentation. The researchers selected informants responsible for managing the teaching factory program at SMK PGRI 1 Kudus using purposive sampling. These informants provided key insights into the planning, execution, and challenges of the program. The findings of the study reveal that the effective implementation of a teaching factory program relies on three key pillars. First, real business operation is essential. This involves ensuring that the teaching factory simulates actual industry operations, enabling students to understand and engage with real-world production standards and market demands. For instance, products and services created in the teaching factory must meet the quality and pricing standards of the marketplace. This ensures that students grasp the importance of quality assurance and customer satisfaction. Second, a laboratory setting representation of related industries plays a critical role. The laboratory or workshop should closely replicate the conditions, equipment, and processes found in the industries students are being trained for. This alignment helps students familiarize themselves with the tools, technologies, and workflows they will encounter in professional settings. Moreover, such settings encourage a culture of innovation and problem-solving as students tackle tasks similar to those faced by professionals. Third, competence-based pedagogy forms the foundation of the teaching factory. This approach tailors the curriculum to industry standards, focusing on building specific competencies required in the workforce. Teachers act as facilitators, guiding students through experiential learning processes. The pedagogy emphasizes a balance between theory and practice, ensuring that students not only acquire knowledge but also develop the technical and soft skills needed for their chosen careers. In conclusion, the teaching factory model, as implemented in SMK PGRI 1 Kudus, demonstrates how education and industry collaboration can produce graduates who are both competent and competitive. By fostering real business operations, industry-representative settings, and competency-based learning, the program bridges the gap between education and employment, ultimately preparing students to thrive in the workforce

    Piercing the Corporate Veil on the Responsibilities of Limited Liability Company Directors in Nominee Agreements which have the Potential Risk of Lawsuits

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    Companies are also an important business component and are widely available in the world, including in Indonesia where they are legal entities. The integrity of a member of the company's board of directors and board of commissioners to maintain their loyalty as the party entrusted with managing the company properly and correctly as a responsibility to stakeholders. This action is known as the Piercing the Corporate Veil doctrine, which in this paper is at issue if it turns out that there is a nominee agreement between the directors and shareholders of a third party who is actually the party who is one of the shareholders and what is the potential risk of legal action? If a dispute occurs in the company due to the nominee agreement, the company will experience the risk of loss. The author researches with normative legal research, which involves studying documents or written data, research on legal systematics, legal theory. In the initial stage the author conducted research on documents related to the subject of this discussion. Apart from that, use is based on the internet, newspapers and electronic media. In this case, the action of Piercing the Corporate Veil Shareholders in a Limited Liability Company turns out to be the discovery of a nominee agreement between the directors and shareholders from a third party who is actually the party who is one of the shareholders, so in this case the Nominee Agreement can be null and void by law and an attempt to smuggle the law because the Nominee Agreement has violated several regulations in Indonesia, namely Article 33 of the Investment Law and Article 1320 of the Civil Code and is not valid. The potential risk of a company lawsuit if a dispute occurs is due to the nominee agreement which results in the company experiencing a risk of loss because seen from the position of the Piercing the Corporate Veil Doctrine, it cannot be implemented properly because the agreement between shareholders and directors has been violated. regulations in Indonesia, namely Article 33 of the Investment Law and Article 1320 of the Civil Code. So there is less accountability

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    International Journal of artificial intelligence research (IJAIR)
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