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International Journal of Artificial Intelligence Research
Published by STMIK Dharma Wacana
ISSN : -     EISSN : 25797298     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) majors areas of research that includes 1) Machine Learning and Soft Computing, 2) Data Mining & Big Data Analytics, 3) Computer Vision and Pattern Recognition, and 4) Automated reasoning. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : -
Articles 621 Documents
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AI-Driven Personalized Design: Adapting Building Interior Design Based on User Preferences Irwan, Dede
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1486

Abstract

The adoption of Artificial Intelligence (AI) increases efficiency in the design industry. However, the implementation of AI is not entirely received positively by designers. This study aims to explore the application of AI technology in personalizing building interior design based on user preferences. A qualitative approach was employed using the design thinking method. Data were collected through in-depth interviews with product and graphic designers and subsequently validated by experts in the field of AI. The results of this study indicate that the integration of AI in interior design based on user preferences can assist designers in generating more personalized, efficient, and client-specific design recommendations. AI has proven capable of processing both explicit and implicit preference data to predict optimal layouts, color selections, materials, and lighting. However, this study also found several significant challenges, such as inconsistent data quality, limitations of algorithms in understanding subjective and emotional aspects, and concerns regarding user data privacy. Nonetheless, the use of AI in interior design still offers great opportunities to create spaces that are more functional, innovative, and adaptive to the evolving lifestyles of their occupants.
The Impact Of Transformational Leadership On Energy Innovation: A Review From The Viewpoint Of The Consumer Saefullah, Aep; Hidayatullah, Syarif; Fadli, Ahmad; Candra, Hendra
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1357

Abstract

In the contemporary era, the topic of energy innovation is gaining significant importance. Consumers, as end-users of energy, play a crucial role in propelling advancements in this field. This study investigates the impact of transformational leadership on energy innovation from the perspective of consumers. The primary objective is to ascertain how transformational leadership influences energy innovation as perceived by consumers. Employing a descriptive qualitative methodology, this research focuses on five consumers representing the general public of energy users. Data were collected through literature reviews, interviews, and observations conducted over a two-month period from March to April 2024. The findings indicate that consumers highly value energy innovation, particularly regarding its efficiency, sustainability, and environmental impact. These insights reveal that sustainability not only shapes product perceptions but also drives purchasing decisions and enhances consumer loyalty. Sustainability has become a pivotal factor in consumer buying choices, influencing their perception of value and satisfaction with products. Furthermore, by integrating technological innovation with ethical practices and transparent, effective sustainability policies, companies can secure long-term trust and support from their customers. This research provides critical insights into the intersection of transformational leadership and energy innovation from a consumer standpoint. It offers valuable implications for governments and corporations in formulating strategies that promote sustainable energy innovation. Ultimately, this study aims to contribute to the advancement of energy innovation by encouraging leadership practices that align with consumer expectations for sustainability, ethical business operations, and transparency
Analysis Effectiveness Sale Using E-Commerce in the Digital Age: A Case Study on Generation Millennials Prayoga, Rahmat; Sani, Indra; KN, Nurwijayanti; Febrian, Wenny Desty; Suhara, Ade
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1344

Abstract

The purpose of study This For analyze How the use of e-commerce can increase effectiveness sale to generation millennials in the digital age. With focus on two variables independent main , namely e-commerce platforms and digital marketing strategies, research This will to study How factors the influence variable dependent , namely effectiveness sales . Data collection methods used in study This is methodology survey . Author use approach study quantitative , especially cross-sectional models, based on developmental models or growth . Approach This aiming For collect comprehensive data with fast and descriptive development individual from time to time . The target population consists of from 500 students from various campus private sector in Jakarta, with group target specific is 120 students from several programs on campus this . Size sample of 120 students chosen using total sampling, where the size sample The same with size target population. From the hypothesis First until third results calculations assisted by SemPLS that There is influence significant and positive , then Success in leveraging e- commerce platforms and digital marketing strategies depends on a deep understanding of market and consumer dynamics, as well as the ability to adapt and optimize strategies according to platform characteristics and desired business goals . Considering the characteristics and preferences of the millennial generation who focus on technology, user experience, and trust, it is important for businesses and e- commerce platforms to continue to develop relevant and sustainable strategies. This will not only allow for increased sales conversions and brand awareness, but also to maintain customer loyalty in an increasingly competitive and dynamic market.
Factors Influencing Customer Satisfaction and Their Impact on Customer Loyalty Septiano, Renil; Defit, Sarjon; Yulasmi, Yulasmi; Limakrisna, Nandan; Lusiana, Lusiana
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1351

Abstract

Workshop customers, known as unit entry by the automotive world, are one of the sources of revenue for automotive companies. Workshop unit entry is related to customer loyalty. The study aims to determine the relationship between perceived price on customer loyalty through customer satisfaction in auto repair shops customers. A quantitative approach is used as a research approach. Data were collected by questionnaire. The collected data were analyzed to determine the effect between variables, and the analysis technique was Partial Least Square (PLS). The research was conducted at Auto2000 West Sumatra. The research subjects are Auto2000 consumers who use workshop services. The object of research is a review of the influence of perceived price on customer loyalty with customer satisfaction as mediation. The sampling technique is purposive sampling. The results showed that Customer satisfaction can mediate the effect of perceived price on customer loyalty of consumers who use Auto2000 workshop services. 
Analysis Of The Results Of The Implementation Of The Curriculum Development Acceleration And Learning Assistance Program In Higher Education To Support Independent Independent Campus In Indonesia Putra, Pradipta Hendrawan; Dikdik, Asep; Aedi, Nur; Nurdin, Didin
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1358

Abstract

This study aims to describe the results of the implementation of the Higher Education Curriculum and Learning Acceleration Assistance Program Supporting Independent Independent Campus implemented by the Directorate of Learning and Student Affairs, Directorate General of Higher Education, Research, and Technology, Ministry of Education, Culture, Research, and Technology. This study uses a qualitative methodology with a descriptive approach using data collection techniques through surveys and documentation studies of program results that have been reported by program recipients to the Directorate of Learning and Student Affairs as the program implementer. The results of the study show that this assistance program greatly assists study programs in reorienting their curriculum to implement the Independent Learning-Independent Campus (MBKM) program independently through various collaborations carried out by related partners. Thanks to this assistance program, all study programs receiving assistance have curriculum documents that support the implementation of the MBKM program. The form of learning activities most often designed and implemented by recipients of assistance is internships/work practices, followed by student exchange activities and teaching in schools. This assistance program needs to be continuously developed every year to be able to accelerate the implementation of the MBKM program in higher education through curriculum development and independent implementation of the MBKM program
The Comparison Organizational Theory and Organization Performance on The Process of Enriching Organizational Culture on The Implementation of The Principles Government Organizations In Indonesia Hartanto, Beni; Rahmat, Basuki
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1491

Abstract

The purpose of this study is to determine and analyze Comparison Organizational Theory and Organization Performance on The Process of Enriching Organizational Culture on The Implementation of The Principles  Government Organizations In Indonesia.. The research sample consisted of 104 State Civil Apparatus whose duties were related to those studied. The research method used is an explanatory survey approach to explain the relationship between variables through hypothesis testing in the field. Research that uses descriptive surveys and explanatory survey methods is carried out by collecting information from samples directly at the scene of the incident (empirical) through questionnaires with the aim of finding out the opinions of the samples regarding the research problem. And this research uses the Partial Least Squares Structural Equation Modeling analysis technique (PLS-SEM), to model many variables in research  Results and Discussion: To examine the influence of mediator variables, Partial Least Squares Structural Equation Modeling analysis technique (PLS-SEM),to estimate the causal relationship between variables (causal model) that has been determined previously based on the theory. Answering research questions requires correct statistical data processing. This is based on the results of hypothesis testing, the t-statistics results obtained were 3,287 and the significance results (pvalue) obtained were 0.000 (0.000<0.05), so Ho was rejected and Ha was accepted. The test results prove the Comparison Organizational Theory and Organization Performance on The Process of Enriching Organizational Culture This is based on the results of hypothesis testing, the t-statistics results obtained were 2.845 and the significance results (pvalue) obtained were 0.001 (0.001<0.05), so Ho was rejected and Ha was accepted. The test results the the Comparison Organizational Theory and Organization Performance on The Process of Enriching Organizational Culture
ANALYSIS OF PALM PRODUCTION FACTORS AND BIODIESEL PRODUCTION OPPORTUNITIES IN JAMBI PROVINCE Irmanelly, Irmanelly; Afrizal, Ardi
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1484

Abstract

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 year
The Influence of Organizational Culture, Self-Confidence, and Gender on Employee Performance with Employee Involvement as a Mediator Jamika, Dodik; Nurdin, Muhammad
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1478

Abstract

This study investigates the impact of organizational culture, self-confidence, and gender on employee performance, with employee engagement serving as a mediating variable. The research employs a quantitative approach, collecting data through questionnaires distributed to employees of financing companies registered with the Financial Services Authority (OJK) in Purwakarta Regency, resulting in a sample of 257 respondents. Path analysis is used to examine the direct and indirect relationships between variables. The findings reveal that organizational culture has a significant positive impact on both employee performance and employee engagement. A robust organizational culture fosters a supportive work environment, enhancing motivation, a sense of community, and engagement through effective communication and shared positive values. Self-confidence also positively influences employee performance; however, it does not directly affect employee engagement, highlighting the role of other factors like organizational culture and workplace relationships. Gender positively impacts both performance and engagement, showcasing the benefits of diverse perspectives, collaboration, and inclusivity in the workplace. Furthermore, employee engagement significantly enhances employee performance, as emotionally and professionally engaged employees tend to perform at higher levels. As a mediating variable, employee engagement strengthens the influence of organizational culture, self-confidence, and gender on employee performance, underscoring the critical role of fostering diversity, motivation, and workplace support to drive better outcomes.
GLCM Texture Feature Selection for Alzheimer's Detection: A Combination of Statistical Tests, Decision Tree, and Random Forest Cindyawati, Cindyawati; Suryantari, Risti; Sulungbudi, Janto V.
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1509

Abstract

Alzheimer’s disease is a progressive neurodegenerative disorder that leads to a gradual decline in memory and cognitive function, most commonly affecting individuals over the age of 65. Early detection is essential to enable timely interventions, slow disease progression, and improve quality of life. This study aimed to identify the most dominant texture features from brain MRI images using the Gray Level Co-occurrence Matrix (GLCM) for feature extraction. The extracted features were analyzed through non-parametric statistical tests and machine learning algorithms, including Decision Tree and Random Forest, and validated with cross-validation procedures to ensure robustness. The findings revealed that contrast at 90° consistently emerged as the most significant feature, capturing vertical texture variations associated with brain atrophy, while correlation at 135° provided additional discriminatory power by representing disrupted pixel intensity relationships. In combination, these features enhanced the accuracy of classification models, outperforming other GLCM parameters. The results emphasize that careful selection of texture features improves both accuracy and stability in distinguishing between Alzheimer’s and non-Alzheimer’s brains. This study demonstrates that image-based machine learning frameworks can serve as reliable tools to support early detection of Alzheimer’s disease, offering valuable implications for clinical practice and guiding future research on efficient, non-invasive diagnostic approaches.
Transfer Learning-Based Classification of Herbal Plants for Biodiversity Conservation Samsudin, Angga Radlisa; Asroni, Ondi
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1533

Abstract

Indonesia's status as a megabiodiversity country is threatened by land degradation, endangering its rich herbal plant species. The identification of these plants, crucial for ecological balance and traditional medicine, remains reliant on slow and subjective manual methods. This research addresses this problem by designing an automated, accurate, and accessible classification system for Indonesian herbal plants. The primary objective was to develop and evaluate a deep learning model based on transfer learning with the EfficientNet-B0 architecture, optimized for deployment on mobile devices. The methodology involved curating a dataset of 4,500 images across 15 species from Lombok, validated by botanists. The model was trained using a 70:15:15 data split, with extensive data augmentation (rotation, flipping, zooming) to improve generalization. Experimental results demonstrated that the proposed EfficientNet-B0 model achieved a high classification accuracy of 92.4% and an F1-score of 91.7%, outperforming baseline models like MobileNetV2 and ResNet50. The model was successfully converted to TensorFlow Lite and integrated into an Android application, which facilitates real-time identification with an average inference time of less than one second. The study concludes that the implemented system provides a robust tool for biodiversity conservation and community health initiatives. The main contribution lies in the creation of a specialized dataset, the optimization of EfficientNet-B0 for local herbs, and the development of a functional mobile application for real-world use.

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