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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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Information On Financial Performance Of Sharia Commercial Banks And Their Determining Factors Purnomo, Hadi; Albart, Nicko
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1040

Abstract

The research aims to examine the impact of Non-Performing Financing (NPF), Capital Adequacy Ratio (CAR) on the Financial Performance of Return on Assets (ROA) in Sharia Commercial Banks registered with the OJK during 2018-2022. The population in this research is Sharia Commercial Banks registered with the OJK during 2018-2022. A total of 60 data from 12 Sharia Commercial Banks registered with the OJK during 2018-2022, and this is the sample used in this research with sample selection using the purposive sampling method. The data analysis used is descriptive statistics, classical assumption testing and hypothesis testing using the multiple regression analysis method which was tested using SPSS'26 software. The results of this research show that (1) Non-Performing Financing (NPF) does not statistically have a significant influence on profitability (ROA) in Sharia Commercial Banks registered with the OJK during 2018-2022. (2) Capital Adequacy Ratio (CAR) statistically has a significant influence on profitability (ROA) in Sharia Commercial Banks registered with the OJK during 2018-2022.
CONVENTIONAL BANK CUSTOMER MIGRATION POST THE IMPLEMENTATION OF SHARIA FINANCIAL INSTITUTIONS QANUN NO. 11 YEAR 2018 IN ACEH Simahatie, Mai; Asmuni, Asmuni; Rokan, Mustapa Khamal; Umikaromah, Umikaromah
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1027

Abstract

The results of the study show that Perceived Behavioral Control formed by Control beliefs has no effect on Customer behavior with Intentions as an intervening variable on Banking Customers in Aceh Province After the Implementation of Qanun LKS NO. 11 of 2018, this again proves that banking customers in Aceh do not look at whether they are capable of carrying out a behavior or not, they also do not look at whether the experience given to them is good or not so far it has not influenced their behavior in choosing banking.
Personalized Product Recommendations Using Restricted Boltzmann Machines To Overcome Cold-Start Challenges On A Niche Coffee E-Commerce Platform Hesti, Emilia; Handayani, Ade Silvia; Suzanzefi, Suzanzefi; Agung, Muhammad Zakuan; Rosita, Ella; Asriyadi, Asriyadi; Kaila, Afifah Syifah; Afifah, Luthfia; Ardiansyah, M.
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.v9i1.1.1551

Abstract

This paper examines the use of a Restricted Boltzmann Machine (RBM) to provide personalized product recommendations on a niche coffee e-commerce platform facing cold-start conditions. We train RBM variants on a binary transaction matrix derived from 100 simulated user transactions and evaluate four hidden-unit configurations (3, 5, 10, 15) using 5-fold cross-validation. Models were trained with Contrastive Divergence (CD-1) and assessed primarily by Mean Squared Error (MSE) for reconstruction fidelity, complemented by ranking metrics (Precision@3, NDCG@3). The 10-hidden-unit configuration achieved the best balance of reconstruction and ranking performance, with an average test MSE ? 0.0454, outperforming popular-item (MSE: 0.0802) and random (MSE: 0.0760) baselines. While the RBM demonstrates strong capability in modeling latent user preferences under sparse data, ranking metrics expose limitations when predicting exact top-N items in extremely sparse cases. The study highlights practical implications for early-stage niche marketplaces and suggests integrating content signals or hybridization to further improve top-N recommendation quality.
Investigation of Efforts to Improve PDAM Services in Grobogan Regency Hermawan, Eric; Kamar, Karnawi; Anggraini, Rizka Maulida; Nurakhim, Bambang; Judijanto, Loso
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.v8i1.1.1306

Abstract

The quality of public services provided by the Regional Drinking Water Company (PDAM) in Grobogan Regency is the primary focus of this research. Guided by relevant theoretical frameworks, the study seeks to examine the current state of service delivery and identify opportunities for improvement. This research adopts a descriptive approach, which aims to provide a detailed depiction of phenomena as observed in the field.Data collection was conducted through a combination of observation, documentation, and interviews, allowing for a comprehensive understanding of the issues affecting service quality. The research was specifically carried out within the operational scope of the PDAM in Grobogan Regency, involving both internal processes and customer interactions.The findings reveal critical insights into the challenges and strengths of the PDAM’s service delivery. Key aspects explored include water quality, distribution efficiency, responsiveness to customer complaints, and the overall accessibility of services. While some areas demonstrate acceptable performance, significant gaps remain, particularly in meeting customer expectations and ensuring consistent satisfaction.This study emphasizes the importance of adopting customer-centric strategies to enhance service quality. Recommendations derived from the findings include improving infrastructure to ensure uninterrupted water supply, enhancing the responsiveness of complaint handling mechanisms, and implementing regular monitoring systems to address inefficiencies. Additionally, customer feedback should be systematically incorporated into decision-making processes to align services with community needs.By addressing these issues, the PDAM in Grobogan Regency can improve its public service quality, fostering greater trust and satisfaction among its customers. This research contributes valuable insights that support ongoing efforts to ensure access to reliable and high-quality drinking water services in the region
Development of Human Resource Management Information System to Improve Employee Performance Efficiency and Effectiveness Oktaviannur, Moh.; Kindiasari, Aktansi
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.v8i1.1.1198

Abstract

The development of a Human Resource Management Information System (HRMIS) aims to enhance the efficiency and effectiveness of employee performance. This study focuses on designing and implementing an integrated HRMIS that automates various HR functions such as recruitment, attendance tracking, performance evaluation, and employee development. By leveraging advanced information technologies, the HRMIS provides real-time data and analytics, facilitating informed decision-making and strategic planning for HR managers. The system's user-friendly interface ensures ease of use and accessibility, promoting higher adoption rates among employees and management. Empirical data collected from case studies and surveys conducted within organizations demonstrate significant improvements in operational efficiency, reduced administrative burden, and enhanced employee satisfaction and productivity. The findings suggest that a well-implemented HRMIS can be a critical tool in optimizing human resource processes, aligning HR strategies with organizational goals, and ultimately driving overall business performance. Future research should explore the integration of emerging technologies such as artificial intelligence and machine learning to further enhance the capabilities of HRMIS.
Unlocking Consumer Growth in Marketplaces: The Power of Artificial Intelligence Marketing and Human Resources Excellence Arianto, Nurmin; Sunarsi, Denok; Hamsinah, Hamsinah; Kasmad, Kasmad; Asmalah, Lia
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.v8i1.1.1284

Abstract

This study aims to analyze the influence of artificial intelligence (AI)-based marketing, the quality of human resources (HR) operating it, and the effectiveness of the marketplace platform on increasing the number of consumers. In the digital era, AI is increasingly used in marketing strategies to personalize customer experiences, increase efficiency, and reach target markets more accurately. However, the role of HR operating AI technology is also crucial in determining the success of implementing this strategy. This study uses a quantitative method with an approach (SEM-PLS) to test the causal relationship between these variables. The research sample consists of business actors on marketplace platforms and online shops that use AI technology in their marketing. The results of the study indicate that AI-based online marketing does not have a significant influence on marketplace development, with a t-statistic value of 1.359 which is smaller than the t table of 1.983 and a P-value of 0.175 which is greater than 0.05. This indicates that even though AI is applied in marketing, its impact on marketplace development is still limited. On the other hand, the quality of human resources also does not have a significant effect on the marketplace, as indicated by the same t-statistic value, which is 1.359, which is smaller than the t table and the P-value exceeding the significance limit of 0.05. This indicates that the quality of human resources in marketplace organizations may need to be focused more on the technological aspect to support better development. On the other hand, the increase in consumers is proven to have a positive and significant effect on the development of the marketplace, with a t-statistic value of 3.212 which is greater than the t table of 1.983 and a P-value of 0.001 which is smaller than 0.05. This finding indicates that the increasing number of consumers can be a key factor for the success of the marketplace in Indonesia.
E-Commerce Shopee Indonesia : Empirical Lessons From The Impact Of Digital Marketing, Brand Loyalty On Brand Equity Istianingsih, Nanik; Susriyanti, Susriyanti; Ariyanto, Ariyanto; Pranawukir, Iswahyu
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.v8i1.1.1339

Abstract

The study aims to provide empirical evidence of the impact of digital marketing, brand loyalty on the brand equity of E-commerce Shopee Indonesia. The research method is a survey study through a quantitative approach, assessment based on numbers using statistical calculations, using simple random sampling techniques and data collection techniques in this study using library research, field research, observation, and questionnaires. The research sample was 100 consumers. Data was processed using SPSS version 26. The results of the study indicate that digital marketing, brand loyalty partially and simultaneously have a positive and significant effect on the brand equity of E-commerce Shopee Indonesia. Based on the coefficient of determination (adjust R Square), the independent variables consisting of digital marketing, brand loyalty can contribute to the influence on brand equity
The Role Of Innovation In Mediating Knowledge Sharing And Business Performance Saddewisasi, Wyati; adriyanto, andhy tri; Santoso, Djoko
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1053

Abstract

Micro, Small and Medium Enterprises (MSMEs) provide opportunities for employment opportunities in an effort to improve economic standards. However, the Covid-19 pandemic has had a significant impact on economic activities. Decrease in sales turnover, so that the performance of MSMEs runs less than optimal. Based on records from the Office of Cooperatives and Micro, Small and Medium Enterprises, there are 1,538 MSME players affected by the Covid-19 pandemic. This research focuses on the role of Micro, Small and Medium Enterprises (MSMEs) in Semarang City in improving their performance and productivity due to the Covid-19 pandemic. Data sources are obtained through survey methods through the distribution of questionnaires to collect information. The population in this study was all MSME business people in Semarang City and a sample of 96 informants was obtained using purposive sampling techniques. Based on the data from the questionnaire, it was found that respondents were dominated by women as much as 65.63%, the age range of 41-50 years as much as 31.25%, the last education S1 as much as 38.54%, business experience in the range of 1-10 years as much as 70.83%, the number of workers less than 5 people as much as 65.63%, and sales volume less than Rp 50,000,000, - as much as 70.83%. Mediation hypothesis testing is done through path analysis using SPSS. The results of this study show that knowledge sharing affects innovation and the performance of MSME actors, innovation affects the performance of MSME actors, and the quality of MSME business performance in Semarang City is based on the level of knowledge sharing through innovation development. 
Auditor Behavior Toward Artificial Intelligence (AI) Development: A Literature Review Sari, Agustin Rusiana; Prijanto, Budi
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.v9i1.1.1556

Abstract

The integration of Artificial Intelligence (AI) has fundamentally reshaped the auditing profession by enhancing efficiency, analytical precision, and audit quality. This study aims to explore auditors’ behavioral responses toward AI adoption, emphasizing individual, organizational, and ethical dimensions. Using a systematic literature review approach of scholarly articles published between 2020 and 2025, the paper synthesizes findings from contemporary research focusing on the drivers, impacts, and governance challenges of AI implementation in auditing. The results show that willingness to learn, performance expectancy, and AI readiness are the most influential individual factors determining auditors’ intention to adopt AI, while top management support and technological infrastructure play key organizational roles. AI-based systems significantly improve anomaly detection accuracy and operational efficiency; however, algorithmic bias, limited transparency, and accountability gaps remain critical ethical concerns. The study also highlights that AI cannot replace human professional judgment—ethical reasoning, contextual interpretation, and moral accountability must remain central to the audit process. Future auditors are expected to evolve from compliance examiners to strategic advisors equipped with multidisciplinary competencies in data analytics, digital governance, and ethics. Therefore, the synergy between human insight and AI-driven analytics is essential for ensuring trustworthy, transparent, and sustainable audit practices in the digital era.
Marketing R&D Cooperation as a Mediator Between Customer Relationship Orientation, Digital Banking Orientation, and Marketing Performance at bank BJB Megantara, Khandinar Shidik; Hurriyati, Ratih; Hendrayati, Heny; Sultan, Mokh. Adib
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.v9i1.1.1584

Abstract

This study investigates how Customer Relationship Orientation (CRO) and Digital Banking Orientation (DBO) affect Marketing Performance (MP) through the mediating role of Marketing Research and Development Cooperation (MRDC) at Bank BJB. The population consisted of 1,762 marketing and R&D employees in Indonesia, with 316 respondents selected using proportional random sampling. Data were analyzed with Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that both CRO and DBO significantly influence MRDC, which in turn mediates their effect on MP. Among the dimensions, Strategic Digital Commitment had the strongest contribution within DBO, while the technology aspect was dominant in CRO. These findings highlight the critical role of marketing–R&D collaboration and digital integration to increase marketing performance. The study offers practical implications for managers to strengthen digital-based strategies, improve product/service innovation, and enhance customer engagement. It also provides theoretical contributions by linking relationship orientation, digital orientation, and R&D cooperation in the banking sector, and also giving suggestion on directions for future research.

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