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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 83 Documents
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Search results for , issue "Vol 8, No 1.1 (2024)" : 83 Documents clear
Live Streaming Of Skincare Products: The Role Of Celebrity Endorses On Impulsive Buying Ramdani, Luki; Rufaidah, Popy
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.v7i1.1.1142

Abstract

The purpose of this study is to identify the influence of live streaming and celebrity endorsers on impulse buying among skincare users. This research was conducted to the users of skincare products with a total sample of 130 respondetns using purposive sampling techniques and applying descriptive quantitative-based research methods with data processing involving the use of statistical analysis methods through the SEM-PLS programme.  The results of this study reveal that the live streaming variable (? = 0.242 p-value <0.01) has a positive and significant effect on impulse buying among users of the skincare products and celebrity endorsers (? = 0.418, p-value <0.01) have a positive and significant effect on impulse buying among users of the skincare products. Thus,H1 and H2 are accepted. From a theoretical point of view, the results provide a new angle that combines live streaming content and celebrity endorsers in increasing customers' impulse buying, where the more often audiences see, hear, and absorb information about skincare products delivered by celebrities, the more likely they are to make impulse buying
The Influence Of Transformational Leadership And Secretary Support On Employee Organizational Commitment Through Mediation: Psychological Empowerment And Moderation: Structural Distance On Bintan Regency In The New Normal Era Rahmawati, Putri; Indrayani, Indrayani; Kaddafi, Muamar
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.v8i1.1.1205

Abstract

Organizational commitment is very important for organizations in order to improve organizational performance. Employee organizational commitment can increase or decrease. Knowing the factors that influence organizational commitment is the key to solving the problem of decreasing employee organizational commitment. This research aims to determine the influence of transformational leadership and Secretary support on employee organizational commitment through empowering psychologists as an intervening agent and structural distance as a moderating variable. Data was obtained by distributing questionnaires to 276 civil servants who worked at the Regional Apparatus Organization of Bintan Regency, Riau Islands Province. The research uses a quantitative approach. The data analysis method used is a structural equation model using the Smart-PLS device. The research results show, 1) Transformational leadership and support from the Secretary directly have a positive and significant effect on psychological empowerment. 2) Transformational leadership and psychological empowerment directly have a positive and significant effect on Organizational Commitment, while 3) Secretary Support and Structural Distance do not have a significant effect on organizational commitment. 4) psychological empowerment fully mediates the influence of transformational leadership on organizational commitment, and also mediates the influence of Secretary support on organizational commitment. 5) Structural distance moderates the influence of transformational leadership on employee organizational commitment in the Bintan Regency Regional Apparatus Organization. And also moderates Psychological Empowerment of Organizational Commitment, but does not moderate Secretary Support for Organizational Commitment. The results of this research recommend that practitioners and leaders in the Bintan Regency Regional Apparatus Organization be able to improve transformational leadership competence in inspiring followers, and encourage the Secretary to accommodate opinions from subordinates, include subordinates in the planning process and increase employee organizational commitment.   
Hyperparameter Tuning in Machine Learning to Predicting Student Academic Achievement Arifin, Muhammad; Adiyono, Soni
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.v8i1.1.1214

Abstract

Prediction of student academic achievement is a very important research area; this can be seen from the many researchers who conduct research in this area. To make predictions, a machine learning model is needed. Along with their parameters, the majority of machine learning models have associated hyperparameters. However, knowing the right mix of hyperparameters is essential for robust model performance. A methodical procedure called hyperparameter optimization (HPO) aids in determining the appropriate values for them. In this study we compared four hyperparameters tuning techniques, namely HyperOpt, Random Search, Optuna and Grid Search. The results of the hyperparameters from each of these techniques are then used in machine learning algorithms to predict student academic achievement. Validation uses the 5-fold cross validation method while performance testing uses Mean absolute error. From the experimental results it was found that the hyperparameter technique The best method for predicting student academic achievement in machine learning models is gridsearchcv.
The Impact Of Announcements Of Mergers And Acquisitions (M&A) On Stock Returns Sampurna, Dian Surya; Alexandri, Benny; Pragiwani, Meita; Suhardi, Yusuf; Ikaputri, Marcelina Wahyuningtyas
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.v8i1.1.1195

Abstract

One of the corporate actions carried out by companies is mergers and acquisitions (M&A). This research aims to examine the impact of merger and acquisition (M&A) announcements on stock returns of banking companies listed on LQ 45 for the 2011-2021 period. This research uses the event study method, with 3 banking companies from 8 merger and acquisition (M&A) events, with an event window of 91 days, namely 45 days pre-announcement, 1 day of announcement and 45 days post-announcement. The results of this research show that the market responded positively to 8 merger and acquisition (M&A) announcement events. The benefit of this research is for policy makers to stimulate stock prices with the help of various announcements from their corporate action strategies. Investors will be helped in understanding stock market mechanisms in making wise investment decisions before reacting to corporate actions. Meanwhile, policy makers are interested in influencing stock prices and investors are interested in the composition of risk-return parameters in their portfolios. This research will act as an important investment tool for both.
Gender Inequality and Economic Growth in South Kalimantan Sopiana, Yunita; Khairina, Melisa; Maulina, Dessy
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.v8i1.1.1211

Abstract

The purpose of this study is to investigate the relationship between gender inequality and GDP development in several fields, such as health, education, economics, and employment. A panel random effect regression model is used to analyze the data in order to achieve this.This study found that economic growth in South Kalimantan is negatively and significantly affected by gender inequality in education, as indicated by the average ratio of school time. According to the life expectancy ratio, the gender disparity in health has a small but favorable impact on economic growth in South Kalimantan. When the per capita expenditure ratio is used to examine economic disparities in South Kalimantan, a negative and significant effect becomes apparent. Gender imbalance in the workplace considerably retards South Kalimantan's economic growth, as seen by the ratio of women to males in the working force.
Influence of Audit Technology Implementation on Efficiency and Accuracy of Audits in Public Companies: A Case Study of Manufacturing Companies in Indonesia Nasution, Raden; Dailibas, Dailibas; Chaerudin, Chaerudin; Harahap, Muhammad Nasim; Mutaufiq, Ali; Kumala, Destiana
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.v8i1.1.1196

Abstract

This research discusses the influence of the application of audit technology on audit efficiency and accuracy in manufacturing companies in Indonesia. This research uses a type of quantitative research with a survey approach with the method used is saturated sampling/census, with a sample of 26 manufacturing companies in Indonesia. This research data analysis technique uses PLS software version 3.0 (Partial Least Square). The results of the research showed that the application of audit technology had a positive and significant effect on efficiency with a statistical t value of 31.066 > 2.055 and a P-value of 0.000, this means that techniques for implementing audit technology such as audit information systems , big data analytics. , and AI (artificial intelligence) technology can significantly improve the efficiency of the audit process. This technology allows auditors to conduct deeper analysis of transaction data and complex patterns, identifying anomalies or potential risks more quickly and precisely. The application of audit technology has a positive and significant effect on audit accuracy with a statistical t value of 76.415 > 2.055 and a P-value of 0.000, this means that accurately, audit technology can also minimize human error in the audit process, because it can carry out automatic testing and broader analysis of available data. This increases the accuracy of the financial reports produced, which is one of the main objectives of the audit process in supporting transparency and public trust in public companies.
Effective Learning Model in Fostering Converts in Padang City: Analysis of Studies and Recommendations in the Artificial Intelligence Era Japeri, Japeri; Perisya, Fauziyyahh; Yunus, Muhammad; Mengki, Jias
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.v8i1.1.1254

Abstract

In the era of Artificial Intelligence, this study seeks to analyze and recommend an effective learning model for fostering converts in Padang City. Using a qualitative literature review method, the research examines various learning models relevant to the socio-cultural context of the Minangkabau community. The findings highlight the need for a holistic and multidimensional approach in supporting the learning process of converts. Models such as andragogy, constructivism, cooperative learning, contextual learning, problem-based learning, experiential learning, and transformative learning have been identified as particularly effective. In addition to the selection of learning models, key factors that determine success include the quality of educators, the relevance of learning materials, and the presence of a supportive learning environment. The integration of Minangkabau local wisdom is also deemed essential in helping converts comprehend Islamic teachings in a culturally sensitive manner. Furthermore, the research emphasizes the importance of psychosocial support, including emotional and social assistance, throughout the development process. Given these findings, the study proposes the development of a comprehensive, phased curriculum, the provision of intensive training for converts, the creation of contextual learning materials, the incorporation of advanced AI technologies in the learning process, the formation of support networks, and the establishment of cross-sector collaborations to enhance the learning experience.
Contribution To Food Commodity Prices Against Inflation In Kupang City Khristina Kiha, Emilia; Timo, Fredirikus
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.v8i1.1.1210

Abstract

The aim of this research is to find out how food commodity prices influence inflation in the short and long term in Kupang City and the influence of previous inflation on inflation in Kupang City. The data used in this research is time series data in the form of monthly data on the prices of food commodities such as rice, red chilies, shallots, chicken eggs and chicken meat as well as monthly data on inflation in Kupang City. The research method used is the Partial Adjustment Model (PAM). The research results show that (1) Rice prices have a negative and insignificant effect on inflation in the short and long term (2) Red chili prices have a positive and significant effect on inflation in the short and long term. (3) The price of shallots has a positive and insignificant effect on inflation in Kupang City in the short and long term. (4) The price of chicken eggs has a negative and insignificant effect on inflation in Kupang City (5) The price of chicken meat has a positive and insignificant effect on inflation in Kupang City (6) Previous inflation had a negative and insignificant effect on inflation in Kupang City
Performance Of State Civil Apparatus: Intervening Effects Of Organizational Commitment And Work Motivation Muhammad Ikram Idrus; Muhammad Islah Idrus
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.v7i1.1.1139

Abstract

The performance of an  employee in a  government agency can be known from the results of a job  which can be shown by the degree of the employee's ability to complete a job.  The purpose of  this  study is toanalyze the direct influence of competence on organizational commitment,  work motivation and employee performance of the South Sulawesi Provincial Marine and Fisheries Service both directly and indirectly. The type of research used is a quantitative research method  with data collection using a questionnaire. This research was conducted using a survey approach and distributing questionnaires to analyze facts and data that support the information needed to support the discussion of the research. Thecausal relationship between the variables was obtained through hypothesis testing using SPSS and SmartPLS.  The results showed that partially, competence has a positive and significant effect  on organizational commitment,  work motivation and  employee performance.  Furthermore, organizational commitment has  an insignificant  effect on employee performance  while work motivation has a positive and significant impact  on employee performance  . As for indirect influence  , it shows that organizational commitment has an  insignificant effect   when used as a mediating variable  the influence of  competence on performance while motivation is able to show   positive and significant influence when used as a mediating variable
Human Resource Development Strategy In Facing Digital Transformation Dwiwarman, Denny Aditya
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.v8i1.1.1201

Abstract

This research was conducted at PT. Aruman Aditya which operates in the developer sector with the aim of this research being to develop appropriate HR management strategies to support digital transformation in improving company results where human resource management requires a strategic management style to achieve sustainable competitive advantage by create education and training programs. Methodology study use qualitative approach, observation structured and SWOT analysis. The results of the research show that the educational methods used by company leaders are in developing human resources in facing transformation The company's digital implementation is still being pursued and the company owner advises management to take action to create a programmed and sustainable education program to increase knowledge and skills in accordance with digital- based work needs , while training methods in the process of developing human resources in facing digital transformation have not yet been programmed.

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