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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 Effect of Taxpayer Awareness, Fiscal Services, and Tax Sanctions on Corporate Taxpayer Compliance at the Jayapura Primary Tax Service Office Sutisna, Entis; Sutisman, Entar; Nor Khasanah, Jana Siti
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.2.975

Abstract

This study aims to analyze the impact of technological innovation on consumer decision-making in the gadget industry. Using a qualitative approach, this research involves interviews with consumers in various innovation adoption groups, which include innovators, early adopters, early majority, late majority, and slow followers. In addition, this research also studied the concept of consumer satisfaction and how consumer satisfaction with technological innovations affects purchasing decisions in the gadget industry. Through in-depth interviews with consumers, this research generated rich insights into consumers' experiences of adopting technological innovations, factors that influence purchase decisions, and the role of consumer satisfaction in the decision-making process. Qualitative data analysis was conducted to identify patterns, themes, and relationships between the variables studied. The results of this study show that understanding the level of consumer adoption in technological innovation is of key importance for gadget companies. Innovator and early adopter consumers tend to have higher risk, are enthusiastic in trying new technology, and play an important role in influencing others to adopt the innovation. Meanwhile, early majority consumers have a slower adoption rate, but their purchasing decisions are influenced by testimonials from previous adoption groups. Consumer purchase decisions in the gadget industry are also influenced by their satisfaction with technological innovations. Consumers who are satisfied with the user experience of an innovation are likely to recommend it to others and consider purchasing products with similar innovations. Therefore, gadget companies need to pay attention to product development that meets consumer expectations, provides a positive user experience, and provides responsive customer service.
The Influence of Organizational Culture, Human Resource Capacity Development, and Empowerment of Human Resources on Affective Commitment and Loyalty, and Its Implications on Employee Performance (A Survey on Employees of PT. Kereta Api Indonesia (Persero), Operational Area 2 Bandung) Sukmara, Ading Rahman; Priadana, Sidik; Machmud, Senen; Yusuf, Eddy; Affandi, Azhar
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.2.927

Abstract

The successful implemenstation of tasks in the transportation service of PT. Kereta Api Indonesia (Persero), Operational Area 2 Bandung, depends greatly on the quality of employees who produce high-quality performance, ultimately enhancing company performance. This research aims to understand and examine the influence of Organizational Culture, Human Resource Capacity Development, and Empowerment of Human Resources on Affective Commitment and Loyalty, and their implications for Employee Performance. This study adopts a descriptive and verificative approach, utilizing quantitative research methods with descriptive analysis and verification analysis. The sample for this research consists of 145 employees. The analysis method employed in this study is Structural Equation Model (SEM) analysis. The research findings conclude that there is a significant influence of Organizational Culture, Human Resource Capacity Development, and Empowerment of Human Resources on Affective Commitment, with an influence magnitude of 72.02 percent. Additionally, there is a significant influence of Organizational Culture, Human Resource Capacity Development, and Empowerment of Human Resources on Employee Loyalty, with an influence magnitude of 74.48 percent. Furthermore, there is a significant influence of Affective Commitment and Loyalty on Employee Performance, with an influence magnitude of 82.74 percent. Human Resource Capacity Development, and Empowerment of Human Resources on Employee Loyalty, with an influence magnitude of 74.48 percent. Furthermore, there is a significant influence of Affective Commitment and Loyalty on Employee Performance, with an influence magnitude of 82.74 percent. Human Resource Capacity Development, and Empowerment of Human Resources on Employee Loyalty, with an influence magnitude of 74.48 percent. Furthermore, there is a significant influence of Affective Commitment and Loyalty on Employee Performance, with an influence magnitude of 82.74 percent.
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.
Marketing Mix Development Strategy In Lesehan Coffee Business In The City Of Tebing Tinggi Using Market Segmentation Priority Scale Method Saragih, Jopinus; Tarigan, Hendri Mayanta
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.2.880

Abstract

This study aims to find out how the Marketing Mix Development Strategy in Lesehan Coffee Business in Tebing Tinggi City Using the Market Segmentation Priority Scale Method. The results showed that the Organizational Factor variable i (X1). i has an effect on the Loyalty variable (Z). hypothesis 2 can be iseen that the variable Compensation (X2). From this description it can be seen that tcount (4.919) i> ttable (2.042), and a significance ivalue iof 0.000 i<0.05, it can be concluded that the second hypothesis is accepted, meaning that the Compensation variable (X2) affects the Loyalty variable (Z). Hypothesis 3 can be seen that ithe Organizational Factor variable (X1). X1) has no ieffect on the Performance variable (Y). hypothesis 4 can be seen that the variable Compensation (X2). From this description it can be seen that tcount (2.690) > ttable i(2.042), and a significance value of 0.012<0.05, it can be concluded that the fourth hypothesis is accepted, imeaning that the Compensation variable (X2) affects the Performance variable (Y). hypothesis 5 can be seen that the variable Loyalty i(Z). From this description it can be seen that tcount (1.891) < ttable (2.042), and a significance value of 0.069 i<0.05, iit ican ibe concluded that the fifth ihypothesis iis rejected, meaning ithat ithe Loyalty ivariable (Z) has no effect on the Performance variable (Y). Based on the results of the intervening test, it shows that the direct iinfluence of Organizational Factors (X1) on ithe Performance variable (Y) s 0.678. While the indirect effect through the Loyalty Z variable is 0.548 x 0.550 = i0.3014, the calculation results obtained show that the indirect effect through the Loyalty Z ivariable is smaller than the direct effect on the Y Performance variable. Based on the results iof the intervening test, it shows that the direct effect of compensation (X2) to Performance (Y) of 0.730 and Compensation (X2) through the variable Loyalty (Z) to Performance (Y) of 0.276 x 0.550 = 0.1518. From the calculation results obtained, it shows that the indirect effect through the Loyalty variable (Z) is greater than the direct effect on the Performance variable(Y)
Social Media Marketing with Online Services and Perceptions, Changing Customer Preferences of Online Retail SME Andi Nuryadin; Andi Syahrul Makkuradde; Ashari Ismail; Meldianus Nabas J. Lenas; Andi Irfan; Muh. Rum
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.2.985

Abstract

Customers often make preferences by looking for the best service for the products they need. Customer preferences are related to the behavior of people who have choices. Online customers often make preferences by looking for the best service for the product they need. SMEs try to keep customer preferences from happening. Preference occurs if there are two choices then someone can choose one of them based on the criteria for the comparison results. Preferences are trying to be prevented by online SMEs, because online consumer services are not only seen as product buyers, but also seen as partners in the needs, desires, and expectations of the products sold by the company. This study raises the theory of Preference by Gossen in Tasman (2009) consumer preferences occur when choices occur, then consumers have high utility, and will reduce their consumption if their utility begins to decrease. This research is exploratory, descriptive, to test hypotheses.  Survey research with incidental sampling on 150 online small entrepreneurs who were met in the general trading area while shopping. Technical analysis by Ordinary Least Square by Path analysis. The results of this study prove that online service quality does not determine perceptions, and perceptions do not determine consumer preferences. Social media marketing does not determine perceptions, and perceptions do not determine consumer preferences.  So, consumer preferences do not see anymore perceptions, so it only shows consumer preferences for products and is related to any services and social media.
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%.
The Effect Of Compensation And Work Environment On Job Satisfaction With Performance As An Intervening Variable (Case Study On Population Control Service Officers, Family Planning, Women's Empowerment And Child Protection, Serdang Bedagai Regency) Hadi Panjaitan; Diana Florenta Butar-Butar
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.1.876

Abstract

The results show that Based on the results of the analysis of hypothesis 1 it can be seen that the Compensation variable (X1) From the description iit ican be seen that tcount(11,894)> ttable (2.042), as well as the significance value of 0.000> 0.05, it can be concluded that the first ihypothesis is accepted, meaning that the Compensation variable (X1) has an effect in the Job Satisfaction variable (Z). This means that compensation has ia very good influence in measuring employee satisfaction at work. Based on the results of the analysis of hypothesis 1, it can be seen that the work environment variable (X2). From the description it can be seen that tcount (4.919) > ttable (2.042), and the significance value is 0.000 <0.05, it can be concluded that the second hypothesis is accepted, meaning that the Work Environment variable (X2) has an effect on the Job Satisfaction variable (Z). The results of the analysis of hypothesis 1 can be seen that the Compensation variable (X1) From the description it can be seen that tcount (1,397) < ttable i2,042), as well as the significance value of 0.173> 0.05, it can be concluded that the third hypothesis is rejected, meaning ihat the Compensation variable (X1 ) has no effect on the Performance variable (Y). Based on the results of the analysis of hypothesis 1, it can be seen that the Work Environment variable (X2). From this description, it can be seen that tcount (2,690) > ttable (2,042), and the significance value is 0.012 <0.05, so it can be concluded that the fourth hypothesis siaccepted, meaning that the Work Environment variable (X2) has an effect on the Performance variable (Y). it means that in improving the performance of employees in the agency required a work environment that supports employee performance. Based on the results of the analysis of hypothesis 1 can be seen that the variable Job Satisfaction (Z). From the description it can be seen that tcount (1.891) < ttable (2.042), and the significance value is 0.069 <0.05, it can be concluded that the fifth hypothesis is rejected,meaning that the Job Satisfaction variable (Z) has no effect on the Performance variable (Y)
Classification of Cervical Cancer Images Using Deep Residual Network Architecture Fauzi, Hilman; Bima Ansori, Revydo; Siadari, Thomhert; Budi Harsono, Ali; Rahmah, Qisthi Nur
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.955

Abstract

According to data from the World Health Organization (WHO), cervical cancer is ranked second, with a high mortality rate in women every year. Cervical cancer is caused by the presence of the Human Papilloma Virus (HPV), which directly attacks the cervix. Additionally, an unhealthy lifestyle can cause attacks of this disease. Several methods can be used to detect cervical cancer early, one of which is Visual Inspection with Acetic Acid (VIA). Through VIA, tests can determine whether patients are infected with the HPV virus. The results of the VIA test can be seen with the naked eye, but medical experts have different opinions about the diagnosis made using their vision. Therefore, to assist medical practitioners in diagnosing the results of VIA, an examination with a technological approach was carried out. Digital imagery was used for the analysis. A medical expert’s Android camera was used with .jpg image format to capture pictures of the VIA test results. In this study, cervical cancer image classification was carried out from the results of the VIA test examination that had been carried out at Hasan Sadikin Hospital, Bandung, with as many as 255 data points for Negative VIA and 65 data points for Positive VIA. In the image processing of the VIA test results, CLAHE images and Canny Edge Detection images are used. Deep learning was used with the ResNet-50 and ResNet-101 architectural models to classify images, and different hyperparameter configurations, such as optimizers, learning rates, batch sizes, and input sizes, were tested. In this study, the best results were obtained using Canny Edge Detection images with hyperparameter configurations using the SGD optimizer with a learning rate of 0.1, a batch size of 32, and an input size of 224 × 224.
A Study on The Job Replacement Impact of ChatGPT and Education Method Dong Hwa Kim; Aktansi Kindiasari
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1007

Abstract

This paper deals with the job impact of ChatGPT and education preparation for that, which will give an influence on many areas because it can be implemented with ease as just normal editing works and speak including code development by using huge data. Currently young generations will take a big impact on their job selection because ChatGPT can do well as much as human can do it in everywhere. Therefore, education method and system should be rearranged as new curriculums. However, government and officer do not understand well how it is serious in education. This paper provides education method and curriculum for AI education including ChatGPT through analyzing many papers and report, and experience

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