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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 System Based On Attraction Of Travel Selfies And Intention To Visit Tourist Destinations In The Context Of A Study Of The Utilitarian And Hedonic Benefits Of Travel Selfies Ardyan, Elia; Wijaya, Oscarius Yudhi Ari
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.v7i2.1035

Abstract

Creating an information system based on travel selfie appeal and intention to visit tourist destinations involves integrating utilitarian and hedonic aspects to enhance user experience. Combining utilitarian and hedonic features, the information system aims to enhance the overall travel experience, from trip planning to enjoying the destination, while leveraging the appeal of travel selfies to create a more engaging and personalised platform. This study investigates the impact of utilitarian and hedonic advantages on the attractiveness of travel selfies and the intention to travel. There are 420 respondents from generation Z. The analysis employed is structural equation modeling, with Amos version 26 utilized to process the data. The findings of this study demonstrate that the utilitarian and hedonic effects of trip selfies can enhance their appeal. The appeal of travel selfies is a significant aspect of attracting travelers to travel destinations. Other research shows that hedonic benefits are more likely to get people to visit a site than utilitarian benefits. There are several implications presented both managerially and theoretically
The Role Of Financial Reporting In The Effectiveness Of Management At Pesantren Raudlatul Ulum: Challenges And Innovations fauzan, Fauzan; Pratiwi, Ana; Mauliyah, Nur Ika
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.v8i1.1.1251

Abstract

This study aims to analyze the role of financial reports in enhancing management effectiveness at Pesantren Raudlatul Ulum, as well as to identify challenges and innovations in pesantren financial management. The study employs a qualitative approach with a case study method, involving in-depth interviews with financial managers, the head of the pesantren, as well as observations and analysis of financial report documents. The findings indicate that structured and transparent financial reports play a significant role in supporting strategic decision-making, improving operational efficiency, and strengthening the pesantren's accountability to stakeholders. However, challenges faced include limited human resources, a lack of adoption of modern technology, and the persistence of traditional management cultures. As a solution, the implementation of modern accounting software and staff training in financial management are proposed as innovations that can improve the effectiveness of the pesantren's financial system. This study offers important contributions to pesantren management in the digital era and recommends further research on technology adoption and comparative studies between pesantren
Analyzing Important Knowledge Management Sub-Processes, Mechanisms, and Technologies in PT XYZ using Contingency View of Knowledge Management Astrianty, Rani Aprilia; Sensuse, Dana Indra; Imanuddin, Kamila Alifia
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1181

Abstract

In the current competitive business landscape, having knowledge is crucial for gaining a competitive advantage, particularly in service-oriented firms where it significantly enhances organizational capabilities. However, effectively implementing knowledge management presents challenges for companies, as demonstrated by PT XYZ. The main challenges faced by PT XYZ include insufficient information dissemination among departments, complexities in accessing crucial business process information, resulting low level of employee knowledge, contributing to operational inefficiencies. By applying contingency factors theory, this study aims to prioritize essential KM processes at PT XYZ and recommend appropriate KM mechanisms and technologies for implementationThe research, which draws on interviews with three employees, finds that socializing for knowledge exchange is the most important knowledge management subprocess. Face-to-face meetings and on-the-job training serve as the main methods of instruction, while computer-based simulations are used as a supporting tool. Direction, socialization for knowledge discovery, and combination are more knowledge management subprocesses that can be added later to enhance KM procedures at PT XYZ.
The Role of Auditing in Financial Risk Mitigation Amid Global Economic Disruption Dailibas, Dailibas; Mutaufiq, Ali; Chaerudin, Chaerudin; Nasution, R.; Harahap, Muhammad Nasim
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.v8i1.1.1190

Abstract

This research aims to explore the role of audit in managing financial risk amidst the complexity of global economic dynamics. By explaining in detail the contribution of audits in helping entities identify, manage and mitigate financial risks. This research uses qualitative research methods, focusing on the role of audit in managing financial risk amidst global economic dynamics. Through interviews with 20 respondents, including auditors and financial practitioners, analysis of financial reports, and literature studies, the research gained in-depth understanding. Interpretive methods are used to analyze the data, providing a theoretical and practical basis in explaining the contribution of audits to financial risk mitigation. The research results confirm that auditors do not only limit themselves to examining financial reports, but are actively involved in helping entities identify and manage financial risks. These findings provide a strong foundation for entities to face global economic uncertainty and ensure the reliability of financial information. Audits are identified as a key element in enterprise risk management. Auditors not only apply audit theory conceptually but also create practical guidelines for achieving successful operational risk management. In addition, the evolution of audit theory along with changes in the global economy shows the practical relevance of audit theory in responding to changing economic dynamics.
Progress in Non-Invasive Cognitive Brain-Computer Interface and Implications for Mind-Uploading Astawa, I Wayan Aswin Dew; Purnomo, Hindriyanto Dwi; Sembiring, Irwan
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1133

Abstract

Mind-uploading, the vision of transferring human consciousness into a digital realm, relies on a profound comprehension of the brain and cutting-edge technology. Non-invasive cognitive Brain-Computer Interfaces (BCI) offer a promising avenue for delving into neural activity and bridging the brain-machine gap. This research explores the potential of non-invasive cognitive BCI in realizing mind-uploading through a systematic literature review (SLR), analyzing recent research that focuses on its current progress and implications for mind-uploading. The SLR unveils significant strides in non-invasive cognitive BCI, demonstrating increased precision in recording and decoding cognitive processes and fostering a deeper understanding of these processes. This progress is attributed to a diverse range of emerging feature extraction and decoding methods, transforming subtle neural signals into interpretable commands. Notably, advancements in signal processing and neuroimaging techniques enhance communication speed and clarity between the brain and computer. Furthermore, the development of cost-effective methods, frameworks, and hardware holds the promise of broader accessibility to BCI technology. However, significant hurdles remain. The computational demands of current cognitive BCI systems pose a substantial challenge, while the scarcity of high-quality training datasets hampers algorithm development and accuracy. The poor signal quality causes difficulties in recording neural complexity and hampers accuracy. In conclusion, non-invasive cognitive BCI has significant potential to pave the way for mind-uploading. However, its limitations, make their capabilities remain insufficient to fully realize this ambitious vision. This highlights the critical need for sustained research and innovation to bridge the gap between current understanding and the exciting realm of mind-uploading.
The Role of NGOs in Indonesia - Australia Cooperation Through the KOMPAK Program to Support the SDGs of Quality Education in Papua and West Papua Satianingsih, Rarasaning; Erqie, Kirana Evan Salsabilla; Wardhani, Baiq L. S. W.; Rosmiati, Rosmiati; Satriawan, Muhammad; Sulistyowati, Ida
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.v8i1.1.1208

Abstract

This paper discusses the role of Non-Governmental Organizations (NGOs) in bilateral cooperation between Indonesia and Australia through the KOMPAK program, with a focus on supporting the Sustainable Development Goals (SDGs) for quality education in Papua and West Papua. KOMPAK, which is supported by the Australian government, aims to improve the quality of life in Indonesia by strengthening basic services, including education. NGOs play an important role in implementing this program by leveraging local expertise to build capacity, increase access to education, and empower communities. This program is in line with the global commitment to SDG 4, which emphasizes inclusive and equitable quality education for all children, especially in remote and underserved areas. This collaboration shows the shared commitment between the two countries and highlights the important role of NGOs in improving the educational landscape in Papua and West Papua, with the aim of ensuring a better future for the region's young generation
Training Need Analysis For Developing People: A Case Study of Market Development Division in PT XYZ Firdaus, Aditya Reza; Sensuse, Dana Indra
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1183

Abstract

The impact of Industry 4.0 on the Indonesian stock market, with a special focus on PT XYZ. PT XYZ has experienced a significant surge in individual investors, particularly from the younger generation, who are technologically savvy and prefer the stock exchange as an investment method. This paper discusses the critical role of the Market Development Division at PT XYZ in meeting the educational needs of prospective investors and companies planning to list. One significant challenge identified is the knowledge gap within PT XYZ, especially between employees with varying levels of experience, and the absence of a centralized knowledge repository. This gap hinders education for potential investors and listed companies, thereby impacting service quality. In response, PT XYZ acknowledges the need to enhance Knowledge Management (KM) practices and begins developing a tailored knowledge sharing strategy. This strategy aims to bridge the existing knowledge gap and prevent knowledge loss, utilizing the Zack Framework for gap analysis. Qualitative research methods, including semi-structured interviews with 3 experts, were employed in this study. It resulted in a gap analysis between the current state and PT XYZ's necessary knowledge regarding the implementation of knowledge sharing, leading to the recommendation of eight knowledge sharing strategies.
Analysis of Graduate Success Patterns Based on Association Rule Mining to Increase the Achievement of the Performance Index of Higher Education Graduates wasilah, wasilah; Halimah, Halimah
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.v7i1.1.1095

Abstract

The main performance index (KPI) of graduates is an important factor for universities. However, there is still very little research that discusses the achievement of IKU graduates. If this is managed well, universities can take more effective action to improve the quality of education and prepare graduates to be successful in their careers. This research will utilize data mining to photograph the achievements of implementing one of the main performance indices in higher education.
Exploiting Silhouette Principle Component For Dimension Reduction In Breast Ultrasound Images Classification Kartikadarma, Etika; Fanani, Ahmad Zainul; Pujiono, Pujiono; Affandy, Affandy; Wulandari, Sari Ayu
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1165

Abstract

This paper proposes the use of the Dimensional Reduction method with the Silhouette Principle Component (SPC) Approach to improve the classification of breast ultrasound images. The PCA method is used to reduce the dimensions of medical images to improve classification, with MobileNet-v2 and DenseNet-121 as the optimal classification algorithm choices. The results show that the SPC method succeeded in producing efficient feature representation with data sizes that are almost the same as the original data, while PCA produces greater dimensionality reduction. The SPC model also shows the best performance in terms of accuracy and loss. This research makes a significant contribution to the development of more sophisticated and efficient medical image analysis techniques to support the diagnosis and treatment of breast cancer.
A Proposed Framework for ERP System Implementation in SMEs Setiawan, Danang; Fahrezha, Muhammad; Prakoso, Nur Abdillah Bagus; Qurtubi, Qurtubi
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.1102

Abstract

SMEs face numerous challenges and opportunities due to their pivotal roles in the economic development of a country. Adopting an ERP system is believed to be the catalyst to cope with the challenges and grab the opportunities faced by SMEs. However, implementing ERP led to potential risks caused by implementation failure, even for big companies. SMEs have a unique characteristic due to being receptive to adopting new technologies but having limited resources. Most previous research related to designing frameworks for ERP implementation was focused on big companies, although the fact that SMEs have distinct characteristics compared to big companies. Therefore, this study aims to design a framework for SMEs' ERP implementation. The framework phase consists of (1) measuring the business maturity, information communication and technology (ICT) maturity, proposed business process improvement, and (2) implementing an ERP system. The author has also provided a case study of ERP adoption in an SME in this paper by compiling both steps. This research will contribute to research on ERP in SMEs and practice as guidance for ERP implementors and SMEs in adopting the ERP system

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