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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.
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Articles 64 Documents
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Search results for , issue "Vol 9, No 1.1 (2025)" : 64 Documents clear
Portrait of Friendship among Catholic Youth: A Preparatory Step toward Catholic Marriage at St. Fransiskus Asisi Laverna Gunungsitoli and Kristus Gembala Baik Parishes Mendrofa, Kristiana; Ola, Dominikus Doni; Obe, Alexius Poto; Masong, Kenneth C.; Gea, Maniati
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.v9i1.1.1527

Abstract

This study analyzes friendship among Catholic Youth (Orang Muda Katolik—OMK in Bahasa Indonesia) as a crucial factor in forming emotional, spiritual, and social readiness for Catholic marriage. The qualitative study was conducted in two parishes—St. Fransiskus Asisi Laverna Gunungsitoli and Kristus Gembala Baik—using in-depth interviews, participant observation, and document analysis. The findings indicate that healthy, value-based friendships within the Catholic Youth community contribute significantly to fostering responsible relationships as a foundation for marriage. Key aspects supporting relational maturity include trust, open communication, mutual respect, and active participation in religious activities. These factors reinforce the psychosocial aspects necessary for building stable and meaningful relationships before entering into marriage. This study highlights the need for a more systematic approach by the Church in integrating friendship development into premarital preparation programs, particularly in pastoral care for Catholic youth. Thus, friendship is not merely a social experience but serves as a pathway toward a holy and committed family life. Further research is encouraged to explore how faith-based education can strengthen friendships as a foundation for mature relationships.
INTEGRITY INFLUENCE ON JOB SATISFACTION AND ITS IMPLICATIONS ON COMMISSIONERS' PERFORMANCE OF GENERAL ELECTION COMMISSION (KPU) IN WEST JAVA PROVINCE Zulkarnaen, Wandy; Suteja, Jaja; Arifin, Yusuf
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.v9i1.1.1548

Abstract

The aim is to examine the effect of the Integrity on Job Satisfaction and theirimpact on Commissioner's Performance. Preliminary research shows the poor performance of Commissioner's Performance of the General Election Commission (KPU) of West Java Province, Indonesia. The survey was conducted on 101 respondents consist ofcommissioner of the General Elections Commission at the district/city levelin West Java Province, Indonesia. Data were collected using a questionnaire and data analysis to test the t-test used. The analysis uses partial regression and hypothesis testing using a t-test. All analyzes use statistical tools using Statistical Package for Social Science (SPSS). The results show that the direction of effects of the Integrity (X) on Employee Competency (Y) is positive. Obtained p-value of 0,000 so that the p-value <? = 0.05. That the total effect of Job Satisfaction (Y) on Commissioner's Performance (Z) is .691 or 69.1%. While the remaining 36.7% is the influence of other factors beyond Job Satisfaction. The results showed that the Integrity plays an important role in realizing Job Satisfaction and providing optimal Commissioner's Performance
INTEGRITY INFLUENCE ON JOB SATISFACTION AND ITS IMPLICATIONS ON COMMISSIONERS' PERFORMANCE OF GENERAL ELECTION COMMISSION (KPU) IN WEST JAVA PROVINCE Zulkarnaen, Wandy; Suteja, Jaja; Arifin, Yusuf
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.v9i1.1.1550

Abstract

The aim is to examine the effect of the Integrity on Job Satisfaction and their impact on Commissioner's Performance. Preliminary research shows the poor performance of Commissioner's Performance of the General Election Commission (KPU) of West Java Province, Indonesia. The survey was conducted on 101 respondents consist of commissioner of the General Elections Commission at the district/city level in West Java Province, Indonesia. Data were collected using a questionnaire and data analysis to test the t-test used. The analysis uses partial regression and hypothesis testing using a t-test. All analyzes use statistical tools using Statistical Package for Social Science (SPSS). The results show that the direction of effects of the Integrity (X) on Employee Competency (Y) is positive. Obtained p-value of 0,000 so that the p-value <? = 0.05. That the total effect of Job Satisfaction (Y) on Commissioner's Performance (Z) is .691 or 69.1%. While the remaining 36.7% is the influence of other factors beyond Job Satisfaction. The results showed that the Integrity plays an important role in realizing Job Satisfaction and providing optimal Commissioner's Performance.
Legal Policies for the Protection of Children's Rights After Divorce: A Comparative Study of Malaysia, Singapore, and Indonesia Qadriah, Fauza; Yuslem, Nawir; Yadi Harahap, Mhd.
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.v9i1.1.1560

Abstract

Divorce has a significant impact on children, particularly concerning the fulfillment of their custody, financial support, and psychosocial well-being. This study analyzes legal policies on the protection of children's rights after divorce in indonesia, malaysia, and singapore through a comparative law approach. Using normative and empirical juridical methods, this research examines existing legal regulations and the effectiveness of their implementation based on court case data, divorce statistics, and interviewxs with legal experts. The findings indicate that while all three countries have regulations ensuring children's rights post-divorce, gaps remain in their implementation. In indonesia, weak enforcement mechanisms for child support lead to many children losing their financial entitlements. Malaysia’s dual legal system (sharia and civil) sometimes delays the execution of child support rights. Meanwhile, singapore has developed an integrated system with a therapeutic justice approach, including mandatory mediation and more effective enforcement mechanisms. This study recommends establishing a child support enforcement unit in indonesia, harmonizing legal procedures in malaysia, and enhancing psychosocial support programs in singapore. Legal reforms incorporating best practices from these three countries are expected to improve the protection of children's rights after divorce.
Design and Implementation of Tank Level Monitoring System Using Internet of Things Heriyawan, Mohammad Sapta; Santiko, Tony; Pujianto, Erli
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.v9i1.1.1559

Abstract

This study seeks to create and implement an IoT-based tank level monitoring system to rectify the inefficiencies associated with human sounding methods typically employed on ships.  Manual measuring methods can lead to protracted processes and human errors, thereby affecting data precision and operational safety.  This research addresses these restrictions by integrating an ESP32 microcontroller, HC-SR04 ultrasonic sensor, and the Blynk IoT platform to develop an automated monitoring solution that transmits real-time water level data to a mobile dashboard.  The system was developed utilizing the Waterfall Model, which includes the phases of requirement analysis, system design, implementation, testing, and maintenance.  The proposed system exhibited great accuracy within a range of 2–400 cm and maintained stable Wi-Fi connectivity without signal loss, achieved through iterative development and expert validation.  The Blynk interface effectively provided real-time viewing of water height and volume.  An analysis of user input revealed a favourable reaction, with an average rating of 3.8 on a 5-point scale, indicating system usability and efficacy.  The results validate that the suggested IoT-based monitoring system provides a dependable, cost-effective, and scalable substitute for manual measurement, enhancing both operational efficiency and maritime technology education.
Comparative Analysis of Usability and Immersivity in Virtual Reality Applications Based Interaction Methods Using Controller and Hand Gesture Nevista, Bianca Pingkan; Tolle, Herman; Bachtiar, Fitra A.
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.v9i1.1.1564

Abstract

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 immersivity
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.
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.
The Transformation Of E-HRM In Developing The Quality Of Human Resources Based On Information Technology Toward Employee Performance Through Employee Satisfaction Sumaryono, Sumaryono; Machdar, Nera Marinda; Hidayat, Wastam Wahyu; Rony, Zahara Tussoleha
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.v9i1.1.1572

Abstract

This research aims to evaluate the impact of e-compensation, e-learning, and e-performance appraisal on organisational performance, with team member satisfaction as a mediating variable. The study was conducted at PT. XYZ. Methodology used: A total of 77 respondents participated in this research. Data processing was carried out using the Structural Equation Modeling (SEM) method with a Partial Least Squares (PLS) variance-based approach. The results of the reliability and construct validity tests indicate that all variables have a high reliability level, with Cronbach's Alpha values as follows: Compensation Management (0.96), E-Learning (0.95), Employee Satisfaction (0.94), Employee Performance (0.96), and Performance Appraisal (0.91), all of which exceed the threshold of 0.90. The team member satisfaction variable consists of 13 indicators (Z.01 to Z.13) and was measured using a survey involving 77 respondents. To meet the criteria for convergent validity, each item must have a loading factor value of at least 0.60. An R-square value of 0.81 indicates that 81% of the variability in the dependent variable. Based on the analysis results, all indicators in this study meet the criteria for good validity and reliability. The indicators for the Employee Satisfaction variable show loading factor values above the threshold of 0.60.

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