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International Journal of Artificial Intelligence Research

IJAIR
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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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Implementation of the Community Science Technology Model in Civics Learning to Grow Student Social Intelligence Fajar, Arnie; Supriadi, Yadi
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

Advances in science and technology, require all humans in the world to adapt to the situation. Likewise in the field of education in schools. Almost all students in Indonesia use mobile phones as their social media, including students at SMP Negeri 1 Jatinangor Sumedang. Based on observations of students in Civics lessons, it appears that the attitudes of students lack social intelligence, such as lacking problem solving skills, communicating, expressing opinions, and listening to other people's opinions. This study aims to determine how the application of the Community Science Technology Model in growing the social intelligence of students in class VII-1 SMP Negeri 1 Jatinangor Sumedang. The research approach used is qualitative with Classroom Action Research methods. The results showed that there was a growth in the social intelligence of students from cycles I, II, and III. The problem solving skills of students grew from 14 people (cycle I), to 22 people (cycle II), and 24 people (cycle III). The ability to communicate grew from 11 people (cycle I) to 18 people (cycle II), and became 20 people in cycle III. Likewise, students' ability to listen to others grew from 14 people (cycle I) to 19 people (cycle II), and became 20 people in cycle III.

The Effect of Price Fairness, Brand Image, and Perceived Value on Satisfaction and Word of Mouth of Go-Jek Customers Innocentius Bernarto; Zoel Hutabarat; Agus Purwanto
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

The purpose of this study was to analyze the relationship between price fairness, brand image, and perceived value on Satisfaction and Word of Mouth of Go-Jek Customers. The survey method was applied in this study. Methods of data collection by using a questionnaire (google form). The target population in this study were all Go-jek customers in JABODETABEK within October 2021. The sampling technique was done by convenience sampling. In this study, the number of samples was 184 respondents. Data analysis with partial least square-structural equation modeling (PLS-SEM) approach with the help of SmartPls 3.0 program. Based on the data analysis, it was found that price fairness has a positive effect on satisfaction, brand image has a positive effect on satisfaction, perceived value has a positiveÂ effect on satisfaction and satisfaction has a positive effect on Word of Mouth. The perceived value variable gives the greatest contribution to satisfaction

Defining Common Inter-Session and Inter-Subject EEG Channels Using Spatial Selection Method Fauzi, Hilman; Komura, Tadayasu; Kyoso, Masaki; Shapiai, Mohd. Ibrahim; Mumtaz, Yasmin
International Journal of Artificial Intelligence Research Vol 6, No 2 (2022): Desember 2022
Publisher : Universitas Dharma Wacana

Redundancy of information on brain signals can lead to reduce brain-computer interface (BCI) performance in applications. To overcome this, EEG channel selection is performed to reduce and/or eliminate a number of channels with irrelevant information. In the previous studies, there is energy calculation methods that have been proposed to perform EEG channel selection to improve BCI performance in classifying the brain command of motor imagery stimulation. In this study, channel selection scheme on motor movement signal will be experimented by using spatial selection method. This study performs the common active channel mechanism that divided into two parts: 1) common active channels between sessions, which known as common Inter-session channels and common active channels. These two techniques can be used by all subjects to interpret motor movement type known as common Inter-subject channels. In order to validate the performance of the proposed framework, CSP (common spatial pattern) is used as a feature extraction method and k-NN with k = 3 as the classification method. The obtained results shows that the proposed channel selection technique is able to choose common active channels in five combination numbers on Inter-sessions and Inter-subjects of the acquired EEG signals. Both types of common active channels are proven to improve BCI performance with an accuracy increase of up to 66%.

Influence Of Relationship and Quality of Service on Customer Trust and The Impact On Customer Loyalty Udin Ahidin; Icih Tarsih; Surya Budiman; Kasmad Kasmad
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

The purpose of this study was to study the empirical relationship to trust, service quality to trust, relationship and service quality to trust, and trust in loyalty, both partially and simultaneously at PT BPR Makmur Artha Sedaya Pamulang, South Tangerang City. Quantitative associative research methods with verification research. PT BPR Makmur Artha Sedaya Pamulang Kota Tangerang Selatan. A total of 1153 income. The number of research samples is 92 respondents. Method of collecting data; observation, documentation, and questionnaire. Data analysis method; Analysis of the feasibility test of the data, namely Validity Test, Reliability Test, and Classical Assumption Test. Data analysis using inferencing statistics: Simple Linear Regression Test, Multiple Linear Regression Test, Determination Coefficient Test, Hypothesis Test (t-Test and Test f). The results showed that there was a positive and significant relationship between the relationship to trust, related positively and significantly to the partial quality of trust, positively and significantly related simultaneously between the relationship and service quality to trust, positively and significantly related to the trust priority to sales loyalty at PT. BPR Makmur Artha Sedaya Pamulang City of South Tangerang

An Analytic Network Process Method Approach to Design Models of Lecturers Performance Evaluation Purwani, Fenny
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

One approach to greatly enhance the quality of university education level is improving the quality and career of lecturers, including services to students. Therefore, performance and work ethic are critically evaluated to obtain re-liable information. Most performance evaluations are limited to assess students in the classroom exclusively. This research employed a Multi-Criteria Decision Making (MCDM), a model designed to evaluate the lecturerâ€™s performance and factors influencing their performance. These factors were examined from various variables, such as training and development experience, motivation, self-esteem, competency, and job satisfaction. To demonstrate the correlation and dependency among factors of lecture performance evaluation, this study employed the Analytic Network Process (ANP) method, which is part of MCDM technique. The ANP method could serve different levels of stakeholders by considering available criteria and sub-criteria. Moreover, the method could predict performance measurement of human resources by considering factors affecting lecturerâ€™s performance. This research produced a model to evaluate lecturersâ€™ performance effectively

The Role Career Development, Organizational Citizenship Behavior and Leadership on Teacher Performance: An Empirical Study on Elementary School in Bandung Arifin, Yusuf
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

This study aims to analyze the relationship of career development, organizational citizenship behavior and leadership to the Head of elementary school performance. This research method is quantitative with data processing tools using SPSS software. Data was obtained through the distribution of online questionnaires to 212 elementary school teachers in Tangerang who were selected using the simple random sampling method. Based on data analysis, it can be concluded that career development has a positive effect on teacher performance, organizational citizenship behavior has a positive effect on teacher performance, leadership has a positive effect on teacher performance and career development, organizational citizenship behavior and leadership simultaneously have a positive and significant effect on teacher performance.

How is the role of Digital Leadership and Knowledge Sharing on Performance? An Empirical Study on SMEs in Bandung West Java Winanti, Marliana Budhiningtias
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

The purpose of this study was to analyze the effect of Digital Leadership on the performance of SMEs and the effect of Knowledge Sharing on the Performance of SMEs in Bandung West Java. The research was conducted using a quantitative approach through a survey. The population of this study were all SMEs employees in Bandung, while the number of samples in this study was 400 people who were selected using simple random sampling. Testing the hypothesis in this study using SEM (Structural Equation Modeling) with the PLS program. The research data was obtained through the distribution of online questionnaires through social media. The results of this study are that Digital Leadership has a positive and significant effect on the performance of SMEs and the variable Knowledge Sharing has a positive and significant effect on Performance SMEs in Bandung West Java.

The Role of Electronic Human Resource Management (E-HRM) and Career Planning on the Performance of Bank Employees in South Tangerang Hamsinah Hamsinah
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

The success of an organization cannot be separated from the improvement of human resources. This study aims to analyze the effect of the electronic human resource management (E-HRM) variable on the Bank's Employee Performance, analyze the Bank's career planning process on the Bank's employee performance. The research was conducted using a quantitative approach through a survey. The population of this study were all employees, while the number of samples in this study were 300 people using simple random sampling. Testing the hypothesis in this study using SEM (Structural Equation Modeling) with the PLS program. The research data was obtained through the distribution of online questionnaires. The results of this study indicate that there is a direct influence between electronic human resource management (E-HRM) on the performance of bank employees, there is a direct influence between career planning on employee performance. Based on the research results, it is hoped that all bank management will make clear career plans for their employees so that they are more enthusiastic in working and will lead to job satisfaction which will ultimately improve their performance and implement Electronic Human Resource Management (E-HRM) to improve employee performance.Â

The Role of Digital Marketing, Influencer Marketing and Electronic Word of Mouth (eWOM), on Online Purchase Decisions for Consumers of Private University Students in Bandung West Java Dadang Munandar
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

The purpose of this study is to analyze the relationship of digital marketing to online purchasing decisions, Influencer Marketing to online purchasing decisions, electronic word of mouth (eWOM) to online purchasing decisions on consumers of private university students in Bandung. A quantitative approach is used in this study. This study used an online questionnaire as a primary data collection tool. Data were analyzed using descriptive statistical analysis, and PLS-PM (Partial Least Square-Path Modeling) with SmartPLS 3.0 software. The analysis was carried out on two submodels, namely the measurement model or the outer model and the structural model (structural model) or the inner model. The outer model shows how the manifest variable represents the latent variable it measures, while the inner model shows the power of estimation between latent variables. Goodness of fit structural model in PLS analysis is in the form of predictive-relevance value (Q2), which is calculated based on the coefficient of determination (R2) of each endogenous variable. Objects that will be used as respondents in this study are consumers who use e-commerce, namely consumers of private university students in Bandung. The variables observed in this study were digital marketing, influencer marketing and e-WOM. The number of samples was 190 consumer respondents from private universities in Bandung, the sampling technique used was purposive sampling. The respondent's criteria is that they have transacted using e-commerce. Collecting data by distributing questionnaires conducted online through social media to respondents. The results of this study are digital marketing has a positive effect on online purchasing decisions, Influencer marketing has a positive effect on online purchasing decisions, Electronic Word of Mouth (eWOM) has a positive effect on online purchasing decisions.Â

Framework Authentication e-document using Blockchain Technology on the Government system Isyak Meirobie; Agustinus Purna Irawan; Husni Teja Sukmana; Diana Putri Lazirkha; Nuke Puji Lestari Santoso
International Journal of Artificial Intelligence Research Vol 6, No 2 (2022): Desember 2022
Publisher : International Journal of Artificial Intelligence Research

As a sophisticated platform, namely Blockchain, which has 3 (three) potentials to change the governance system which is still considered traditional, solve the problem of principal agents, and minimize the crime of document falsification. However, in the government sector, the documents used can be insecure and lead to document falsification. Blockchain is becoming increasingly significant in document services and beyond until questions arise about the authenticity and security of manuscripts and documents in the government sector. So, Go-Chain (Government Blockchain) it is necessary to authenticate documents using Blockchain to minimize document forgery. By utilizing the potential of Blockchain technology, this research aims to maximize government e-documents in a modern and secure manner. Propose a Blockchain-based document framework method that is applied with a literature review study—in addition to ensuring the speed of system execution by utilizing DAO (Decentralized Autonomous Organization) and Smart Contracts. The result is that modern and safe government e-documents in document verification can significantly maintain transparency and increase trust in public services.

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Contact Name
Heri Nurdiyanto

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Heri Nurdiyanto

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Journal Mail Official
internationaljournalair@gmail.com

Editorial Address
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Location
Kota metro,

Lampung

INDONESIA