International Journal of artificial intelligence research (IJAIR)
Not a member yet
271 research outputs found
Sort by
THE INFLUENCE OF COMPENSATION, WORK ENVIRONMENT, AND WORK INTEREST ON EMPLOYEE WORK MOTIVATION AT PT BANK CENTRAL ASIA (BCA) KCU RAWAMANGUN
Get PDFThis research aims to determine the effect of compensation (X1), work environment (X2), and work interest (X3) on work motivation (Y) in PT Bank Central Asia (BCA) employees. The method used in this research is a quantitative method. Data was collected through a questionnaire which was measured using a Likert scale diagram. The sampling method used a purposive sampling technique totaling 70 respondents. This research is quantitative research using multiple linear analysis with the data analysis tool SPSS 23.The results of this research state that compensation has no effect on work motivation, the work environment has an effect on work motivation, and work interest has no effect on work motivatio
Development of Detection and Mitigation of Advanced Persistent Threats Using Artificial Intelligence and Multi-Layer Security on Cloud Computing Infrastructure
Get PDFThis research proposes a novel approach for detecting and mitigating Advanced Persistent Threats (APTs) in cloud computing infrastruc ture, offering more comprehensive protection compared to previous methods. By integrating detection and mitigation, this study addresses the shortcomings of prior research that focused solely on detection. Based on the conducted research, Artificial Intelligence (AI) detected Cross-Site Scripting (XSS) attacks with an accuracy of 0.9951, SQL Injection (SQLI) at 0.9964, and Remote Code Execution (RCE) at 0.9876. In trials against new attacks, the detection success rates reached 70% for XSS, 98% for SQLI, and 100% for RCE. During the deployment phase, the system successfully identified 23.040 out of 108.394 requests as XSS attacks, 2.684 out of 128.750 as SQLI attacks, and 1.135 out of 46.450 as RCE attacks. The detection and mitigation methods were directly tested on cloud server experiencing APT attacks. The daily attacks on the server reached 1.980, with 663.000 requests. Additionally, the number of attacks directed at authentication or sensitive pages reached 17.913.701. Attack mitigation was tested through seven layers of security, including DNS Protection, Config Server Firewall (CSF), OWASP ModSecurity, HTTP middleware, data filter or sanitizer, template engine, and manual mitigation successfully blocking million of persistent attacks. The DNS protection layer successfully mitigated 59,000 out of a total of 19 million requests. The CSF layer mitigated 173 sources IP of DDoS attacks. The ModSecurity layer mitigated 17,916,204 attacks. All attacks were successfully mitigated before reaching the HTTP Middleware stage or next layer. The use of NIST 2.0 standards helps manage security risks through identification, protection, detection, response, and recovery. Test results indicate that this multi-layered system is more efficient and effective in detecting and mitigating attacks compared to traditional methods. However, the complexity of implementation and maintenance poses challenges that must be addressed. This research significantly contributes to a more adaptive and sustainable cybersecurity strategy
Resilience Rural Banks Pasca Covid-19
Get PDFBeginning with a health crisis, the Covid-19 pandemic has had a domino effect on social, economic, and financial aspects. The economy has experienced a slowdown, accompanied by a decline in purchasing power due to reduced income. Tourist areas have become completely deserted, resulting in a lack of income and economic activity. The impact of the pandemic has inevitably spread to the banking sector, particularly affecting Rural Banks (known as BPR). The role of BPR, as part of the government's strategy for local economic development and labor absorption, has also been disrupted. In Indonesia, BPR has long been the backbone of microfinance, serving micro, small, and medium enterprises (MSMEs). However, the Covid-19 pandemic has shaken this sector, forcing BPRs to confront challenges while exploring new opportunities for resilience. This research recommends that Rural Banks strengthen risk management and operational efficiency to enhance their resilience in the future.This research contributes to the existing literature by providing a focused analysis of Rural Banks specific financial performance variables and recommends that Rural Banks strengthen risk management and operational efficiency to enhance their resilience in the future. The research employs logit analysis to develop a prediction model. The findings indicate that the resilience model can serve as a predictive tool for BPR resilience in the post-pandemic period, supporting economic empowerment, particularly for MSMEs and labor absorption. This study introduces the concept of Off-Balance Sheet management as a strategic tool for enhancing resilience, which has been underexplored in the context of rural banking in Indonesia
Public Service: Digital Transformation Building Smart City In Makassar City
Get PDFThe demands of the era of globalization of modern government systems require the management of changes in district/city governments to improve so that stakeholders can access maximum service. For this, an applicable work mechanism is needed through the design of a prototype model of Digital Transformation of Public Services e-Government. The type of research used is phenomenological and qualitative descriptive approach. The data collection method used is triangulation, namely: survey, interview, and document analysis. Data analysis uses data collection, data condensation, data presentation, verification and drawing conclusions. Research results: focus (1) The reality of the institutional structure and human resources of the Communication and Information Service still experiences various challenges and weaknesses that must be anticipated immediately, (2) Determinant factors in capacity development originating from internal sources, namely publication, polling up, and decision-making and external opportunities supported by the local government. Meanwhile, internal obstacles are the still strong interests of political parties and external challenges are that public participation is still lacking, and (3) Prototype model of Digital Transformation of Public Services e-Government, is actually a public right and at the same time an obligation of the government, Management of existing public services system, separately accommodates data exchange between institutions, and Management of public services according to regulations, which are guided by Law 37/2008, Law 25/2009 and Regulation of the Minister of State Apparatus Empowerment and Bureaucratic Reform 27/2014 is a combination of complementary nomenclature
Implementation of Entrepreneurship Orientation to Improve SME Performance
Get PDFMicro, small, and medium firms from both the traditional and contemporary sectors make up the vast majority of Indonesia's labour force, making SMEs among the most significant economic actors in the country. Improving the efficiency of small and medium-sized woven fabric businesses in Lombok is the primary goal of this research. In this study, an explanatory approach was used. The purpose of this research was to examine potential causal explanations for observed patterns. The study's findings Small and medium-sized enterprises (SMEs) producing woven fabrics in Lombok have benefited greatly from an entrepreneurial mindset in the last three years. Small and medium-sized enterprises (SMEs) producing woven fabrics in Lombok are heavily affected by their working conditions. For woven fabric SMEs in Lombok, a positive result for the route coefficient between the workplace and performance indicates a unidirectional link or effect. In today's friendly business environment, entrepreneurial orientation influences performance, and future business environment conditions are not always predictable. It is necessary to anticipate some alternative problem-solving, so entrepreneurial orientation that theoretically affects performance must be formulated to achieve goals and implement strategies effectively. Since previous studies have shown that the impact of entrepreneurial orientation on business performance is inconsistent, such as through the use of social media and E-commerce, it is important to conduct additional research on the environmental impact on performance improvement in the context of Lombok's small and medium-sized enterprises (SMEs) that produce woven fabrics
DETERMINANT OF FINANCIAL DISTRESS IN MANUFACTURING COMPANIES
Get PDFFinancial distress is a picture of a continuous decline in a company's financial performance that needs to be predicted and minimized. The occurrence of financial distress begins with a decline in the company's financial condition which begins with the company's inability to meet its short-term obligations. The purpose of this study is to determine and evaluate the effect of Return on Assets (ROA), company size and also Debt to Equity Ratio (DER) on financial distress. Regression analysis and quantitative methods are used in the research process. Manufacturing companies that consistently release their financial reports during 2019-2022 and are listed on the Indonesia Stock Exchange are examples. The sampling method used in this study was purposive sampling and succeeded in obtaining 40 samples from 10 companies. Data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The results of this study indicate that ROA has a significant effect on financial distress. Meanwhile, company size and DER do not affect financial distress in manufacturing companies in the 2019-2022 period. The implications of the results of this study for manufacturing company management can be an indicator of corrective actions before the company experiences financial distress or has the potential to go bankrupt
Android Based Fuel Calculation System Application On MV. Pacific Bulk
Get PDFThe work of calculating ship fuel for machinists can now be changed to automatic in the Android application . With this, work will be faster and more accurate. The aim of the research is to find out how to make applications and how the Android-based fuel calculation system works on MVs. Pacific Bulk. The method used is research and development and Bord and Gall development with 10 steps. The research results show that the use of Android applications in calculating fuel on MV. Pacific Bulk is very useful for making it easier and faster for machinists to calculate ship fuel. The design process for the Android-based fuel calculation application on the MV Pacific Bulk Ship was carried out using Android Studio as an Integrated Development Environment (IDE). It can be operated using an Android cellphone which will make it easier to calculate the remaining fuel on the MV. Pacific Bulk Shi
Analysis of Relationship Marketing Lifestyle Consumer Attitudes on Purchasing Decisions and their impact on Loyalty for MSME Products Made from Sea Products in Sidoarjo Regency.
Get PDFLifestyle and consumer behavior are influenced by the rapid development of technology, the digital world and the internet of course also have an impact world of marketing. Marketing trends are shifting from conventional (offline) to digital (online). This digital marketing strategy is more prospective because it allows potential customers to obtain information about products and make transactions via the internet. Various digital marketing activities include search engine optimization (SEO), search engine marketing (SEM), content marketing, influencer marketing, content automation, campaign marketing, E-Commerce marketing, social media marketing, social media optimization, e-mail direct marketing, display advertising, e-books, optical disks, games, and various other forms of digital media. Its activities can also be extended to non-internet channels that provide digital media services, such as mobile phones (SMS and MMS).Several indicators that can be used currently include the increase in digital advertising expenditure, growth in smartphone ownership which provides easy internet access, improvements to telecommunications infrastructure in order to increase the quality of data access, and the launch of 4G services. According to Facebook data, 74% of internet users in Indonesia use mobile devices (Utomo, 2016) Quoting the report, We are Social (2023)a digital marketing agency in America, saidFacebook is the platform with the highest number of active users, reaching 2.9 billion as of January 2023. Followed by the YouTube platform with the number of active users reaching 2.2 billion. This research is quantitative research, which according to Creswell is quantitative research as an effort to investigate problems. Where this problem is the basis for researchers to collect data, determine variables and then measure them with numbers so that analysis can be carried out in accordance with applicable statistical procedures. The selection of research locations was carried out using a purposive sampling method, namely a technique for selecting research locations deliberately by considering certain aspects. In this research, hypothesis testing uses the Partial Least Square (PLS) analysis technique with the Smart PLS programThe inner model or what is usually called an influence test or hypothesis test aims to predict relationships between latent variables.From the research conclusions, it can be suggested to marine product business players, to maintain profits and consistently increase sales, good management of relationships, lifestyle and consumer attitudes must be carried out. By maintaining relationships with the media, promotional tools, digital marketing. Consumer lifestyles must also be maintained by holding events that focus on seafood-based foods, including by synergizing with holding Food Festivals, seafood cooking courses, introducing seafood so that Gen Z will be more popular. For consumer attitudes, this can be done with massive publicity, intensive, about the importance of seafood and its benefits, the importance of seafood for body health and stamina
Cultural Change of Mathematics Teachers' Views on Technology: Navigating the Artificial Intelligence Revolution
Get PDFThe development of technology related to Artificial Intelligence is growing rapidly, and one of its implications is the teaching of mathematics in the classroom. Therefore, it is necessary to conduct research on the perspective of mathematics teachers in addressing the development of artificial intelligence (AI) used in mathematics learning. This study examines the role of AI technology in facilitating pedagogical reform in mathematics education from the perspective of teachers. Through a questionnaire distributed to mathematics teachers, this paper identifies teachers' perspectives on the development of AI and its use in their classrooms. A total of 56 mathematics teachers participated in this study. In addition to the five-item questionnaire, an open-ended questionnaire was also provided. A number of AI that teachers use in their teaching are also mentioned in this paper. The paper also discusses the challenges that mathematics teachers face when using AI in mathematics lesson planning in their classrooms. It concludes that mathematics learning using AI has significant potential to improve students' competencies by equipping them with essential skills for the digital ag
Optimizing Text Correction For Voice Based IoT Smart Building Virtual Assistants
Get PDFThe integration of Virtual Assistants (VAs) within Smart Building Internet of Things (IoT) ecosystems is increasingly critical, particularly for interpreting user commands via Automatic Speech Recognition (ASR). This paper presents an in-depth performance analysis of text correction algorithms on a Raspberry Pi 4—a cost-effective and widely used computing solution in smart building applications. Due to the absence of GPU acceleration for Python on ARM architecture, a specialized dataset was developed to benchmark algorithmic performance, focusing on correction times and accuracy. Our study utilized a near-real-world experimental setup, deploying Docker containers to simulate IoT MQTT brokers, a Smart Building Platform, and Rasa for dialogue management. Among the algorithms tested—Edit distance, Jaccard, FuzzPartialRatio, FuzzSortRatio, MLE, and Norvig Spell—the Edit distance and Norvig Spell emerged as leaders in accuracy, achieving an 84% success rate in text correction. Notably, the Edit distance algorithm demonstrated superior speed, vital for real-time processing demands. The Fuzz Sort Ratio algorithm distinguished itself with the fastest correction time at 31.6 milliseconds, albeit with a slight compromise on accuracy, attaining a 79% success rate. Consequently, the Edit distance algorithm is recommended for applications where accuracy and response time are paramount, while the Fuzz Sort Ratio is preferable for scenarios where speed is the overriding priority. This research paves the way for future exploration into the computational impacts of these algorithms and the exploration of neural network-based methods to further enhance text correction capabilities in smart building automation systems