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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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The Response of Accounting Study Programs in Indonesia to Issues of Changes in the Role of the Accounting Profession, Digitalization, and the Sustainability Era Pradana, Bartolomeus Galih Visnhu
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.v8i1.1.1285

Abstract

This study was conducted to identify the responses of academic programs in Indonesia to issues surrounding the changing roles of the accounting profession, digitalization, and the era of sustainability. The research employed both qualitative and quantitative approaches, utilizing data collection techniques such as surveys, documentation, observation, and in-depth interviews. There is a prevalent opinion that the accounting profession will diminish due to the substitution of human roles with robots because of digitalization. According to the findings from a Focus Group Discussion (FGD), participants revealed that technological advancements have significantly impacted accounting jobs. Financial statements can now be prepared using information technology applications and financial reporting software. These tools not only simplify and accelerate the work of accountants but also imply that the performance of accountants who do not utilize information technology could be adversely affected due to the demands for timeliness and accuracy in their work. The outcomes obtained from the FGD further disclosed that despite the rapid development of information technology, which greatly aids the work of accountants, a professional accountant must possess adequate knowledge of the fundamental principles of accounting. FGD participants concurred that information technology cannot replace the accounting profession. This is because the job of an accountant is not limited to just preparing financial reports for companies or organizations; rather, a professional accountant must also be capable of performing financial data analysis.
The Impact of Entrepreneurial Networks, Orientation, and Competence on Online Trading SMEs Performance in Makassar City Syulhasbiullah, Muh; Dwi Radianto, Wirawan Endro; Tambunan, Damelina Basauli
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.v9i1.1.1526

Abstract

Research Aims: This study aims to examine the effect of entrepreneurial networks, entrepreneurial orientation, and entrepreneurial competence on the performance of online trading SMEs in Makassar City. It seeks to understand how these entrepreneurial factors contribute to SMEs’ success in the digital business environment.Design/Methodology/Approach: A quantitative approach was adopted using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected through online questionnaires distributed to 150 SME owners operating in online trading in Makassar. The measurement model and structural model were assessed for validity, reliability, and hypothesis testing.Research Findings: The study found that all three variables — entrepreneurial networks, entrepreneurial orientation, and entrepreneurial competence — have a significant and positive influence on SME performance. Entrepreneurial orientation was the most dominant factor, followed by entrepreneurial competence and entrepreneurial networks. The model explained 83.4% of the variance in SME performance with high predictive relevance (Q² = 0.732).Theoretical Contribution/Originality: This research enriches the literature on entrepreneurial dynamics by empirically validating the interplay between entrepreneurial orientation, networks, and competence in the context of digital SMEs in emerging economies. It confirms the Resource-Based View (RBV) theory by showing how internal capabilities and external linkages enhance performance.Practitioners/Policy Implications: The findings provide practical guidance for SME owners to focus on building robust networks, enhancing managerial competencies, and fostering a proactive and innovative business mindset. For policymakers, the study highlights the need for support programs focusing on digital literacy, entrepreneurial training, and access to networking platforms.Research Limitations/Implications: This study is limited to online trading SMEs in Makassar City, which may affect the generalizability of findings to other regions or industries. Future research could explore longitudinal designs, incorporate moderating variables such as digital transformation or government support, and compare SMEs across multiple regions or sectors.
THE USE OF ARTIFICIAL INTELLIGENCE (AI) TO IMPROVE MARKETING CAMPAIGN EFFECTIVENESS Alhabshy, Musa Alkadhim
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.v9i1.1.1541

Abstract

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.
Telegram-Based Earthquake Early Warning Siregar, Arfanda Anugrah
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1279

Abstract

Earthquakes are one of the natural disasters whose arrival cannot be ascertained and have a very detrimental impact, both in terms of property losses and lives. Indonesia, with its very active tectonic plate conditions, often experiences earthquakes, so it needs an effective early warning system. BMKG has developed an early warning system that informs of earthquake events through various media. However, this system still has weaknesses in the speed of delivering information to the public. This research aims to design and make a prototype of an earthquake early warning tool that can send information in the form of notifications and warning alarms using the Telegram application. The use of Telegram as a medium for conveying information was chosen because of its high speed, security, and accessibility. This research was carried out at the Medan State Polytechnic using the MPU 6050 sensor to detect earthquake vibrations and send data to a database containing seismic information. The results of the research were able to make a prototype of an earthquake early warning tool that uses Telegram for the dissemination of warning information in real-time, so that people can more quickly take self-rescue actions. The integration of Telegram in the earthquake early warning system is expected to increase the effectiveness of information dissemination and can be a faster and more efficient solution in dealing with earthquake disasters in Indonesia
DUTIES OF ALTAR BOYS AND GIRLS IN THE CELEBRATION OF THE EUCHARIST IN THE LAHEWA PARISH AND THE HATI KUDUS YESUS TELUK DALAM PARISH Gea, Mawarni; Sihite, Bartolomeus; Luahambowo, Leoni Intan; Zebua, Ribk Yusniat; Lase, Yasman Handayani; Nazara, Imelda Iyun Kristina
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.v9i1.1.1535

Abstract

Task altar boys and girls in celebration liturgy Eucharist is Wrong One tasks to be done lived with heart happy . Objective study This For know about task altar boys and girls in celebration Eucharist as well as How understanding for altar boys and girls in operate his duties in accordance with order method And attitude in liturgy Church . Method research used is study qualitative with approach studies case . Election sample in study This use technique purposive sampling . Technique data collection was carried out with technique observation , interview And documentation .  Through learning And the coaching provided to altar boys , they capable operate task with Good . Through the example of Saint Tarcisius , makes altar boys and girls are getting bigger discipline And responsible answer in operate task . Become a altar servers not just For enliven celebration Eucharist but become altar server meaning become waiter Lord And all over people . Become altar boys give impact positive specifically for people teenager Catholic in life daily in develop faith And become means For near with Lord . Although thus , the altar boys still need coaching And teaching specifically so that they the more understand involvement And task they in celebration Eucharist .
Comparative Study of Fuzzy Inference System and Adaptive Neuro-Fuzzy Inference System in Public Sentiment Analysis of Kabinet Merah Putih Budiati, Haeni; Setyawan, Gogor Christmass; P.Hurit, Lud Gerdus; Lase, Kristian J.D.
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.v9i1.1.1538

Abstract

Purpose: This study aims to compare two fuzzy logic-based approaches, namely the Fuzzy Inference System (FIS) and the Adaptive Neuro-Fuzzy Inference System (ANFIS), in analyzing public sentiment toward the Kabinet Merah Putih.Methods: A dataset of 1,197 tweets was collected from Twitter (X) between October 2024 and April 2025 using specific keywords. After preprocessing and polarity measurement with TextBlob, the sentiment values were mapped into seven categories: strongly negative, negative, weakly negative, neutral, weakly positive, positive, and strongly positive. The classification was performed using both FIS and ANFIS. Evaluation metrics included accuracy, precision, recall, F1-score, and error rate (MSE and RMSE).Result: Experimental results show that FIS achieved an overall accuracy of 79.2%, performing well on majority classes but failing to identify several minority classes. In contrast, ANFIS obtained an accuracy of 92.5% with very low error (MSE = 0.0341, RMSE = 0.1848), demonstrating strong capability in classifying majority and several minority categories. Overall, ANFIS outperformed FIS, proving more effective in capturing sentiment patterns and aligning with the actual distribution of public opinion..Novelty: This study offers novelty by explicitly comparing the performance of FIS and ANFIS in multi-level sentiment analysis of Indonesian social media data, an approach that has not been explored in prior research.
The Philosophy of Nias Megalithic Stones for Catholic Youth in Gunungsitoli Mendrofa, Kristiana; Marbun, Martina Rosmaulina; Yesudoss, Jeganathan; Harefa, Servasius
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.v9i1.1.1536

Abstract

This study examines the philosophy of the Nias megalithic stones and their relevance for Catholic Youth (OMK) in the city of Gunungsitoli through a qualitative-ethnographic approach. Data were collected through in-depth interviews with traditional elders, community leaders, and Catholic youth; participatory observation in customary activities and religious devotions; as well as archival documentation, photographs, and field notes. Thematic analysis identified three clusters of values: resilience (perseverance, discipline, hope), community (mutual cooperation, deliberation, communio), and spirituality (awareness of Christ’s presence in cultural history). The findings show that megalithic stones continue to function as cultural archives, centers of social interaction, and pedagogical symbols for the character formation of Catholic youth. Within the framework of inculturation, these values are reinterpreted in catechesis, culturally rooted liturgy, and social action, without contradicting the Church’s teaching. The study concludes that faith-culture integration strengthens the dual identity of Catholic youth and encourages their role as agents of change in preserving the megalithic heritage and in pastoral ministry. Recommendations include digital documentation of sites, culturally based youth training, and ongoing collaboration between parishes, schools, and traditional leaders in the region.
Application Of XGBoost-Based Machine Learning Methods To Predict Stunting Anhar, Muhammad Fariz; Soewito, Benfano
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1542

Abstract

Child stunting remains a major public?health challenge across Asia, impairing growth, cognition, and lifelong productivity. Early risk identification is critical, yet conventional screening offers limited predictive power and scalability. This study evaluates machine?learning approaches for stunting prediction using routinely collected infant data, proposing XGBoost and benchmarking it against Logistic Regression and Random Forest. An Asian infant dataset was compiled, label encoding and standardization were applied, class imbalance was addressed with SMOTE, the three models were trained and hyperparameter tuning was performed within a reproducible pipeline. Performance was assessed using Area Under the ROC Curve (AUC) and confusion matrices. XGBoost with SMOTE achieved the highest AUC (0.85), exceeding Random Forest (0.83) and Logistic Regression (0.73). Confusion?matrix analysis indicates that XGBoost separates stunted from non?stunted cases more effectively. Models trained without SMOTE performed worse, underscoring the value of imbalance correction. These findings suggest that ML assisted screening can enable earlier, data?driven risk stratification and targeted interventions. Practical deployment, however, may be constrained by the need for a GPU enabled computer and an IDE based workflow, motivating external validation and implementation refinement.
THE INFLUENCE OF MILLENNIAL EMPLOYEE COMPETENCE IMPROVEMENT STRATEGIES ON BANK PERFORMANCE THROUGH HUMANITY LEARNING PROGRAMS Permana, Irwan Triherda; Rahayu, Agus; Wibowo, Lili Adi; Setiawan, Yana; Yulianto, Erwin
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1517

Abstract

The banking industry is currently facing the demands of the digitalization era, and the Millennial generation, as the majority of employees in the company, plays a crucial role in managing and making decisions for the continuity of the bank's business. In addition to the demands of digitalization, human resource skills play a strategic role in all positions within the company. For a bank to run smoothly, these human resource skills need to be accompanied by a learning strategy to improve the competency of millennial employees through a humanistic strategy implementation strategy so that the learning implementation can run smoothly and prudently. This study analyzes the Business Performance overview, which includes Digitalization Demands, Human Resource Skills, Millennial Employee Competency Improvement Strategies, and the Humanity Learning Program that influences it using a quantitative approach with descriptive and verification research types. The study population consisted of 544 regional offices, branches, and sub-branches of Bank BJB, which served as the analysis unit. Sampling used the Slovin method with 134 respondents. The research instrument used a questionnaire, and data analysis techniques to determine the correlative relationship in this study used the Covariance-Based Structure Equation Model. The results of the study show that the Demand for Digitalization with the dominant dimension of Digitalization Trends, Human Resource Skills with the dominant dimension of Digital Skills, and Millennial Employee Competency Improvement Strategy with the dominant dimension of Millennial Competency Development mediated by the Humanity Learning Program with the dominant dimension of Talent Development Program, significantly influence the Bank's Business Performance.
Reward Strategy, Employee Development Towards Employee Retention Through Job Satisfaction as an Intervening Variable and SOPs as a Mediation Variable in Line with SDGs No.10 to Reduce Inequality Muhammad Ashar, Muhammad Ashar; Supardi, Supardi; Sriyono, Sriyono
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1534

Abstract

It examined the relationship between objective rewards and development methodologies and employee retention, mediation of job satisfaction, and mediation by standard operating procedures (SOP). This study specifically relates to Sustainable Development Goal (SDG) No. 10, which seeks to reduce inequality whereby just and fair retention practices create an environment inclusive and fair work. The methodology for this research was quantitative - surveys were used as the main instrument for the collection of data. The data were collected from 92 respondents at the Asam-Asam PLTU in Tanah Laut Regency, South Kalimantan. Path analysis was used for testing the formulated hypotheses. Performance appraisal results revealed that employee rewards and development methodologies influence job satisfaction and employee retention. Job satisfaction is a major encroaching variable because higher job satisfaction increases the likelihood that employees will stay in the organization. Furthermore, the implementation of transparent and equitable SOPs mediated the relationship between management strategies and employee retention, thereby ensuring that organizational practices were coherent and minimizing disparities among employees. These results imply that effective employee retention depends not only on financial incentives but also on perceptions of fairness and equal opportunity, which are facilitated by robust SOP. In summary, it recommends that for the organizations to attain higher employee retention rates, they'll have to measure accordance with SDG 10 by instituting systematic reward and development strategies under transparent SOPs, targeted at comprehensive job satisfaction improvement.

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