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

    Comparative Analysis of Usability and Immersivity in Virtual Reality Applications Based Interaction Methods Using Controller and Hand Gesture

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    Natural User Interface (NUI) is a latest development in the world of human-computer interaction can applied to immersive digital technology and realized in virtual reality. This virtual reality (VR) is usually accessed using a VR headset, so there are several companies that develop and improve VR headsets to facilitate interaction between humans and computers. One of the VR headsets available for beginners and professionals is the Meta Quest 2 which can be used with two interaction methods, namely, controllers and hand gesture. This study was conducted to compare the usability and immersivity of the two interaction methods on the Meta Quest 2 VR headset. This test was conducted at a Vocational High School in Malang, one of the city in Jawa Timur, in the Visual Communication Design Departement who had never used a VR headset before. There are two methods used, namely, Usability Testing to measure usability and the Igroup Presence Questionnaire (IPQ) method is used to measure immersivity. The applications used in this study are the Waltz of The Wizard Game, The Walking Dead Game: Saints & Sinners and Virtual Reality-Based Applications as Educational Media for Cultural Heritage Buildings in Malang City. The results of the usability and immersiveness tests show that in the Waltz of The Wizard game, it gets a high coefficient value on hand gestures, which is 0.136 and 0.096 on the controller. While in the game The Walking Dead: Saints & Sinners, it gets a high coefficient value on the controller, which is 0.398 and 0.171 on hand gestures. And in the Cultural Heritage Application, it gets a high coefficient value on hand gestures, which is 0.065 and 0.055 on the controller. From the coefficient values, usability and immersivity in the use of controllers are higher in action genre applications, for example the game The Walking Dead: Saints & Sinners. While in hand gestures, usability and immersivity are high when using adventure genre applications, for example the Waltz of The Wizard game and exploration, for example the Cultural Heritage Application game. This means that the interaction method and type of application used determine the level of usability and immersivit

    Optimization of Transportation Mode Selection for EPC Project Logistics Using Analytical Hierarchy Process (AHP): A Case Study of RoRo-Based Inter-Island Material Delivery in Indonesia

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    Efficient logistics management plays a crucial role in the success of EPC projects, particularly when transporting heavy fabricated components across island regions. This study aims to identify the most optimal transportation mode using the AHP based on six key criteria: cost, lead time, risk, load capacity, flexibility, and port accessibility. A hierarchical decision model was developed and assessed by seven expert respondents, with calculations performed using Expert Choice 11. The results indicate that cost, lead time, and port accessibility hold the highest priority weights, reflecting their strategic importance in EPC logistics. The synthesis of criteria and alternative weights identified Roll-on/Roll-off (RoRo) as the most suitable transportation mode, outperforming cargo ships, barges, LCTs, and truck combinations. Validation using actual project data further confirmed this result: the total delivery cost using RoRo amounted to IDR 1,126,000,000, representing a 22% savings compared to the planned budget, and only 1.66% of the total project cost significantly lower than industry benchmarks of 8–11%.  The results confirm that AHP constitutes an effective and reliable approach for transportation mode selection in EPC projects. The study offers actionable managerial insights and advances the application of multi-criteria decision-making in construction logistics

    Understanding Gen-Z Work Ethic and Leadership Management in the Digital Age

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    This research examines serious challenges faced by the modernprofessional environment. The phenomena discussed include a lack ofwork ethics, limited appreciation for work, and insufficient professionalexperience among Gen Z workers, as well as leadership managementchallenges among Gen Y leaders. This study employs an ethnographicapproach, involving direct observation and participation at PT X andNGO Y to analyze these phenomena. The findings indicate that Gen Zworkers exhibit minimal work ethics and professionalism, lowappreciation for their jobs, and reduced motivation and commitment. Toaddress these challenges, this research recommends strengthening softskills education programs, developing detailed professionalismguidelines, enhancing administrative systems, and fostering an inclusivework culture. Implementing these recommendations is expected toincrease organizational productivity and create a harmonious multigenerationalworkplace. This research aims to contribute to a deeperunderstanding of multi-generational dynamics and offer practicalstrategies for effectively managing Gen Z talen

    Understanding Tourism Behaviour Through Exploratory Data Analysis with Machine Learning on Search Engine Data: Case Study in Bangka Belitung Islands, Indonesia

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    Analyzing tourist behaviour through Google search data offers a dynamic, real-time approach to understanding travel preferences. This study employs Exploratory Data Analysis (EDA) alongside machine learning techniques such as hierarchical clustering, Principal Component Analysis (PCA), Strength Variables Index (SVI), heat map generation, and correlation matrix analysis to explore the key tourism drivers in Bangka Belitung. These drivers are categorized into demand-side factors—including tourist preferences, curiosity, seasonality, and economic conditions—and supply-side factors, such as transportation, accommodation, activities, pricing, culinary tourism, and local attractions. The findings reveal that transportation and accommodation consistently emerge as the most influential drivers in both regions, highlighting the importance of accessibility and lodging availability. Bangka emphasizes culinary experiences and price sensitivity, while Belitung is more influenced by economic conditions and seasonality. Peak tourism periods are identified during Chinese New Year in February, New Year, and mid-year school holidays in June to July. In Belitung, culinary tourism and seasonal activities see increased interest during February and October, while Bangka shows steady interest in beach-related activities and culinary offerings throughout the year. . Misalignment between supply-side factors, such as limited affordable accommodation or transportation options, can impact tourism performance during these periods. These insights offer practical recommendations for local governments, tourism boards, and businesses to refine marketing strategies, enhance tourist experiences, and optimize tourism infrastructure. . Focusing on affordable travel and culinary experiences for Bangka seasonal tourism and economic preferences for Belitung can help maximize tourism potential and drive sustainable growth in the regio

    ANALYSIS OF PALM PRODUCTION FACTORS AND BIODIESEL PRODUCTION OPPORTUNITIES IN JAMBI PROVINCE

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    Research using secondary data with a quantitative descriptive analysis method which aims to analyze the land area for oil palm commodities in Jambi Province with the finding of an average calculation result of 6.24%. The average number of oil palm commodity farmers is 5.01%. The average price of palm oil commodities is 4.98%. Then for 1 hectare of oil palm the average production amount is 2.03 tons with a production value of IDR 2,732 (million) per month. Then the average land area of oil palm farmers in Jambi Province is 4 hectares with an income of oil palm farmers of IDR 10,290 (million) per month. Then the biodiesel production is 1,644,885 kg on average yea

    Webcam Based Foreign Object Debris (FOD) Detection System to Support Airside Inspections with Image Processing

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    Ensuring that airside areas are free of Foreign Object Debris (FOD) is a critical activity in aviation, as FOD poses a significant threat to aircraft operations during takeoff and landing. This study aims to enhance FOD detection at Sultan Mahmud Badaruddin II Airport in Palembang by developing an automated detection system that utilizes image processing technology in combination with the YOLO algorithm. Traditional FOD detection methods rely heavily on manual inspections, which are often hampered by blind spots, time constraints, and human error. The proposed webcam-based system significantly improves accuracy and speed in identifying foreign objects, thereby contributing to flight safety by effectively reducing the presence of FOD on runways. By facilitating real-time detection, this research seeks to enhance operational safety, minimize risks of aircraft damage, and reduce costly delays, while also alleviating the burden on personnel. Utilizing the Research and Development (R&D) method based on the Borg and Gall model, the study progresses through seven stages. The developed technology successfully detects four types of FOD with reasonable accuracy: bird carcasses up to 5 meters away, paper up to 3 meters, and both metal and aggregate up to 2 meters. Feedback gathered from surveys distributed to airport technicians reveals a very satisfactory response regarding the device's performance. Ultimately, this technology aims to minimize the risk of FOD-related accidents, ensuring optimal safety for passengers and aircraft alike

    Strengthening the Financial Performance of MSMEs in Lamongan: Exploring the Relationship Between Digitalization, Financial Literacy, Product Development, Branding Capability and HR Quality with Sales Turnover as a Mediator

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    This research emphasizes the importance of internal factors in strengthening the financial performance of MSMEs and exploring potential mediation mechanisms through sales turnover.With a better understanding of this relationship, MSMEs in Lamongan Regency are expected to optimize their potential and adapt to the demands of the digital era.PLS SEM methodology.This research shows that factors such as digitalization, financial literacy, branding, and the quality of human resources have a significant impact on the financial performance and sales turnover of SMEs in Lamongan.However, some factors such as product development need more attention to improve their effectiveness.Sales turnover has also proven to be a significant mediator in the relationship between these factors and the financial performance of SMEs.The results of this study are expected to provide insights and practical recommendations for SMEs and other stakeholders to improve the financial performance of SMEs in Lamongan

    Development of Eco-Charger with Solar Power in Airport

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    Renewable Alternative Energy is a very important issue due to global climate issues. In the 2021 United Nations General Assembly, the President of the Republic of Indonesia, in his speech, supported the development of renewable energy and stopped the development that uses coal as an energy source. Airports, as one of the infrastructures that use very large amounts of electrical energy, currently rely heavily on electrical energy, which still uses coal as fuel. The research method used is research and development (R&D), which has been carried out at the Politeknik Penerbangan Palembang since August 2021. The research we conducted produced an eco-charger with solar power as a power source and a battery as a medium for storing electrical energy controlled by a solar charge controller module. This research involved cadets in the development process so it also supports project-based learning. This eco charger's power source can be used for twenty-four hours non-stop because the source of electrical energy is stored in the battery. During the day, the battery will be charged with electrical energy from the solar panel and automatically stop charging if the battery is full. This eco charger is used to charge mobile phones at airports and can also be used in other places such as bus stops, bus terminals, and train stations

    Optimization of Website Based Facility Service System at Politeknik Penerbangan Surabaya

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    Technological developments, particularly in the Industry 4.0 era, accompanied by increasing technological literacy among the public, have influenced business operations, making them easier to develop and more widely known. Digital transformation innovations in facility services at the Politeknik Penerbangan Surabaya were carried out to improve administrative efficiency, information, and service speed. This study aims to develop a web-based facility service information system with the Laravel framework and online payments using the Midtrans payment gateway that can be accessed by internal and external users of the institution more easily and transparently. The development of this system uses the Waterfall Software Development Life Cycle (SDLC) method. The results of the study show that this system is able to manage facility data, transactions, availability, and transaction history in an integrated and real-time manner. The integration of Midtrans into the system not only makes transactions fast and secure, but also provides convenience and security protection for customers. The implementation of this system has been proven to increase efficiency, speed up the service process, minimize recording errors, while expanding service access for users from outside the institution easily and effectively. In addition, with the institution's digital development system, strategic decision-making has also become easie

    THE USE OF ARTIFICIAL INTELLIGENCE (AI) TO IMPROVE MARKETING CAMPAIGN EFFECTIVENESS

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    Digital transformation has drastically changed the marketing landscape, with Artificial Intelligence (AI) playing a central role in redefining more effective and adaptive marketing campaign strategies. This study aims to analyze the forms, implementation strategies, and impact of AI use on increasing marketing campaign effectiveness across various industry sectors.Through a mixed methods approach combining quantitative and qualitative data, this study found that AI significantly improves market segmentation accuracy, enhances message personalization, strengthens customer engagement, and optimizes campaign budget and timeline management. Technologies such as machine learning, chatbots, and predictive analytics have been shown to accelerate the decision-making process and drive more measurable and responsive campaigns.However, the success of AI integration is also influenced by the readiness of digital infrastructure, human resource competency, and compliance with data protection regulations and ethics. The results of this study demonstrate that AI is not merely a technological tool, but a strategic instrument in building smarter, more efficient, and more consumer-oriented marketing communications. These findings are important for companies, particularly SMEs, to understand the potential and challenges of AI in designing impactful campaigns within a dynamic digital marketing ecosystem

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    International Journal of artificial intelligence research (IJAIR)
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