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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 53 Documents
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Search results for , issue "Vol 7, No 1.1 (2023)" : 53 Documents clear
Google Form-assisted Consumer Service Quality Instrument: Exploration Factor Analysis (EFA) Bakti Setyadi; Sulaiman Helmi
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.978 KB) | DOI: 10.29099/ijair.v6i1.378

Abstract

The aim of this article is to use exploratory factor analysis to create a consumer service quality instrument with the help of google form that meets the criteria of valid, reliable, and high fit model. This is a quantitative study that the survey method. A cross-sectional survey was used as the research design. The study's sample size was 200 people who were chosen at random using a simple random sampling technique. A consumer service quality questionnaire was used as the instrument. This instrument was analyzed using Exploratory Factor Analysis techniques. The results revealed that the customer service quality instrument model based on the EFA analysis was already in the fit criteria, that each item had a loading factor greater than 0.05 in addition to item A1, and that the instrument indicator items were declared valid in general. According to the results of the reliability test, the instrument is in the very reliable category.
The Effect of Corporate Governance and Corporate Social Responsibility on Tax Avoidance in Manufacturing Companies Listed on the IDX Ibrahim, Ibrahim; Abbas, Muchlis; Amril, Amril; Syamsuri, Helmy; Syarifuddin, Syarifuddin
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.v6i1.2.888

Abstract

This study was conducted with the aim of: (1) examine the effect of the proportion of independent commissioners on tax avoidance; (2) examine the effect of audit quality on tax avoidance; (3) examine the effect of institutional ownership on tax avoidance; (4) examine the effect of managerial ownership on tax avoidance; (5) examine the effect of CSR disclosure on tax avoidance. The type of data used in this study is secondary data taken from manufacturing company reports from 2015-2018. The data is obtained from the Indonesia Stock Exchange which can be accessed on the official website of the Indonesia Stock Exchange (www.idx.co.id) as well as the company website of the related company. The data collection technique used is the documentation method. The data analysis method used is multiple linear regression analysis. The results of this study indicate that: (1) ownership of the proportion of independent commissioners has a negative and significant effect on tax avoidance; (2) audit quality has a negative and significant effect on tax avoidance; (3) institutional ownership has a negative and significant effect on tax avoidance; (4) managerial ownership has a negative and significant effect on tax avoidance; (5) CSR has a negative and significant effect on tax avoidance.
Building Empowered Online Communities: A Case Study on Brand Community in social media Mandung, Fitriani; Mangkona, Suriyanti; Putra, Aditya Halim Perdana Kusuma
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.v6i1.2.993

Abstract

The digital revolution has reshaped the dynamics of consumer-brand interactions, placing online brand communities at the forefront of engagement strategies. This comprehensive discourse synthesizes discussions surrounding a collection of research papers that illuminate the nuanced dimensions of these digital communities. Delving into diverse themes, from empowerment and gamification to values alignment and cross-cultural dynamics, this exploration unravels the intricate fabric of online brand communities. Through a meticulous analysis of these papers, the abstract underlines the resonance of themes across studies, offering insights into the manifold ways brands and consumers interact in the digital ecosystem. Moreover, it highlights the practical implications these insights bear for managerial practices and steering strategies that harness the potential of online brand communities. Additionally, these abstracts underscore the contributions made to theoretical foundations, enriching our understanding of contemporary consumer-brand relationships.
Instagram Application and Its Role in Creating Purchasing Decision Determinants saragih, megasari gusandra; Astuti, Desi; Ichsan, Ichsan; Vydia, Vensy; Santoso, Aprih
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.v7i2.1020

Abstract

Presently, the rapid advancement of technology is ongoing, and digital platforms have become an omnipresent resource for professionals in business, forming an integral part of a holistic marketing strategy. Social media is now used to introduce a product or service from a company, organization, or government. Along with the development of technology and information, nowadays many online shops have sprung up in various groups, from teenagers to adults. One of local company that uses Instagram social media to spread information about their company's products is Erigo. This study aims to analyze and examine the factors influencing of brand image, information quality and celebrity endorser on purchasing decisions of Erigo Brand product in Instagram. The study utilized quantitative methods along with regression analysis techniques for its research methodology.. The sampling method used purposive sampling and the number of samples used in this study amounted to 80 respondents source was distribution online questionnaires via WhatsApp to customers who had purchased Erigo brand products through Instagram. The data were analyzed with SPSS’ 26 and was carried out by several tests such as test : validity, realibility, classic assumption, linear regression analysis and coefficient of determination. The results that the brand image, information quality and celebrity endorser have a significant and positive effect partially or simultaneously on purchasing decisions of Erigo brand product. Meanwhile, brand trust can provide the most dominant influence on purchasing decisions of Erigo brand products.
The Influence of Organizational Memory, Knowledge Recovery, Knowledge Visualization and Knowledge Transfer on Improving the Career of Lecturer at Private Universities in The Region of West Java and Banten Sunarsi, Denok; Affandi, Azhar; Narimawati, Umi; Priadana, Sidik; Djulius, Horas; Sudirman, Imam
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.v7i2.1013

Abstract

The research aims to determine the influence of organizational memory, knowledge recovery, knowledge visualization and knowledge transfer on improving the careers of lecturers at private universities in the West Java and Banten regions. This research uses a type of quantitative research with a survey approach with the method used is purposive sampling, with a sample of 211 lecturers. The data analysis technique for this research uses PLS software version 3.0 (Partial Least Square) with the research results showing that (1) organizational memory has a significant negative effect on improving lecturers' careers with a t statistic value of 2,000 > t table 1.652 and a P-value of 0.046 < 0.05, with a relationship of 5.9% (2) knowledge recovery has a positive and significant effect on improving lecturers' careers with a t statistical value of 5.113 > t table 1.652 and a P-value of 0.000 < 0.05, and a relationship value of 43.8 % (3) knowledge visualization has a positive and significant effect on improving Dodsen's career with a t statistical value of 6.236 > t table 1.652 and a P-value of 0.000 < 0.05, with a relationship value of 49.9% (4) Knowledge transfer has a significant positive effect on lecturer career improvement with a t statistic value of 6.236 > t table 1.652 and a P-Value of 0.026 <0.005, and with a relationship value of 12.6%.
Determination of Job Satisfaction and its Implications for the Organizational Commitment of the Management of the Indonesian Equestrian Sports Association (PORDASI) Maswarni, Maswarni
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.v7i2.1014

Abstract

The purpose of this study was to determine and analyze the influence of organizational culture, service leadership and appreciation partially or simultaneously on work. To find out the influence of organizational culture, Serving leadership and rewards and job satisfaction partially or simultaneously on Organizational Commitment. The population of this study were the administrators of the Indonesian Equestrian Sports Association (PORDASI) from 21 active provinces. The research method used in this study is a descriptive survey method and an explanatory survey with a sample size of 200 respondents, and the data analysis method used is SEM (Structural Equation Modeling). Based on research from structure 1, it proves that organizational culture, service leadership and rewards partially or simultaneously have a positive and significant effect on work with a contribution of 34.9% where organizational culture is the most dominant in influencing activities reflected in the dimensions of strengthening organizational culture by making routine events. Research from the results of construction 2 proves that organizational culture, service leadership, rewards and job satisfaction partially or simultaneously have a positive and significant effect on Organizational Commitment with a contribution of 80.8%. heart (humility). Another important finding from this research is the variable that acts as a partial mediation. Because only organizational culture and rewards are mediated by job satisfaction in influencing organizational commitment.. 9% where organizational culture is the most dominant in influencing activities reflected in the dimensions of strengthening organizational culture by making routine events. Research from the results of construction 2 proves that organizational culture, service leadership, rewards and job satisfaction partially or simultaneously have a positive and significant effect on Organizational Commitment with a contribution of 80.8%. heart (humility). Another important finding from this research is the variable that acts as a partial mediation. Because only organizational culture and rewards are mediated by job satisfaction in influencing organizational commitment.. 9% where organizational culture is the most dominant in influencing activities reflected in the dimensions of strengthening organizational culture by making routine events. Research from the results of construction 2 proves that organizational culture, service leadership, rewards and job satisfaction partially or simultaneously have a positive and significant effect on Organizational Commitment with a contribution of 80.8%. heart (humility). Another important finding from this research is the variable that acts as a partial mediation. Because only organizational culture and rewards are mediated by job satisfaction in influencing organizational commitment.. Research from the results of construction 2 proves that organizational culture, service leadership, rewards and job satisfaction partially or simultaneously have a positive and significant effect on Organizational Commitment with a contribution of 80.8%. heart (humility). Another important finding from this research is the variable that acts as a partial mediation. Because only organizational culture and rewards are mediated by job satisfaction in influencing organizational commitment.. Research from the results of construction 2 proves that organizational culture, service leadership, rewards and job satisfaction partially or simultaneously have a positive and significant effect on Organizational Commitment with a contribution of 80.8%. heart (humility). Another important finding from this research is the variable that acts as a partial mediation. Because only organizational culture and rewards are mediated by job satisfaction in influencing organizational commitment.
Analysis of Motivation, Leadership Style, and Communication on the Performance of Members of the Sulawesi Truck Driver Association Kotamobagu Branch through Job Satisfaction As an Intervening Variable Dotulong, Lucky; Loindong, Sjendry; Sumarauw, Jacky; Lintong, Debry Ch. A.
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.v7i1.1.1129

Abstract

The background of this research is that the performance of members of the Sulawesi Truck Driver Association, Kotamobagu City branch, has not been maximized. There are still accidents on the road or when loading and unloading goods and complaints from transportation users who use the services of members of the Sulawesi Truck Driver Association, Kotamobagu City branch personally which makes losses in terms of material service users. Such performance results in the organization's name becoming bad. The purpose of this study was to analyze motivation, leadership style, and communication on the performance of members of the kotamobagu branch of the sulawesi truck driver union through job satisfaction as an intervening variable. The research stages carried out were field observations, then literature studies, data collection both primary and secondary. Followed by research, data analysis and discussion, after that draw conclusions and provide suggestions. The results showed that the variables of motivation, leadership style, and communication had no effect on the job satisfaction of truck drivers who were members of the Sulawesi truck driver union, Kotamobagu city branch. motivation, leadership style, communication, and job satisfaction have no effect on the performance of truck drivers who are members of the Sulawesi truck driver union, Kotamobagu city branch.
Unveiling the Synergy: Exploring the Intersection of Artificial Intelligence, Digital Management Information Systems, and Marketing Management in a Qualitative Research Study Azis, St. Nurhayati; Ahmad, A.; Putra, Aditya Halim Perdana Kusuma
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.v7i2.1147

Abstract

This study investigates the integration of Artificial Intelligence (AI), Digital Marketing Information Systems (DMIS), and Marketing Management to enhance decision-making processes in marketing. The research aims to explore the extent of augmentation in marketing decision-making, identify indications of objectiveness in AI-driven analytics, and propose solutions to ensure transparency and accountability. Methodologically, the study conducts a systematic literature review to synthesize existing research on the topic. Findings suggest that AI technologies offer advanced analytics capabilities, enabling marketers to gain deeper insights into consumer behavior and market trends. However, concerns regarding biases in AI-driven analytics and challenges in data integration and dissemination are identified. The study underscores the importance of interdisciplinary collaboration, transparency, and explainability in AI algorithms to mitigate biases and enhance objectiveness. Moreover, it highlights the need for robust data governance policies and talent development initiatives to foster a culture of data-driven decision-making. The research contributes to theoretical understanding by redefining marketing practices through AI integration and offers practical insights for organizations to leverage AI, DMIS, and Marketing Management effectively.
Improving the Performance of Higher Education Academic Information Systems Using Cloud Computing Technology Nugroho, Handoyo Widi; nurjoko, Nurjoko; Andani, Bethania
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.v7i2.1066

Abstract

Improving the performance of academic information systems using cloud computing technology is very relevant and important. The application of cloud computing technology to higher education academic information systems can also help improve data security and information risk management.  The research results show that cloud computing technology significantly improves the performance of academic information systems in higher education. This technology enables faster and easier access to academic information, and strengthens data management and data analysis capabilities.  
Data Mining Using the K-Means Clustering Method Can be Applied to Determine Production Amounts Based on Product Sales Data at PT. Coca Cola Distribution Indonesia Bengkulu Rozzi, Yoli Andi
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.v7i1.1.1252

Abstract

This research applies data mining using clustering method for determining the amount of production is based on the level of product sales at PT . Coca Cola Distribution Indonesia Bengkulu branch . The algorithm used is the K -Means Clustering , where the data are grouped by similar characteristics will be included in the same group and a set of data entered into non-overlapping groups . Information displayed in the form of a group - a group of product data based on the level of sales , in order to know the amount of production in PT.Coca Cola Distribution Indonesia tailored to cluster products with sales levels high, medium and low. The testing of this research is using RapidMiner 5.3, so it will gain some clusters who really helpful for PT.Coca Cola Distribution of Indonesia in determining the number of next production

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