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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 Knowledge Management and Human Capital in Micro, Small and Medium Enterprises Lubis, Fajar Rezeki Ananda
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

Any organization's success is contingent upon the activities of its staff. This results in ongoing changes in human capital management, where knowledge is viewed as critical for developing appropriate responses to market changes and uncertainties. This study will examine the theoretical underpinnings of knowledge management in the Micro, Small, and Medium-Sized Enterprises (MSME) sector from this vantage point. This research focuses on the importance of knowledge in business, human capital management, and knowledge management for MSME players in order to accomplish this goal. The methodology utilized is qualitative in nature and entails a review of theory and literature to establish a determined viewpoint on problems pertinent to the research object. The findings indicate that human capital management is frequently informal, resulting in an insufficient understanding by MSME actors of the importance or low value of their workforce, which is treated as an operator or manual worker rather than as a subject, thereby underestimating them by failing to recognize that they possess the necessary knowledge to strengthen their creativity and innovate in response to competitive demands. We argue that this technique violates fundamental knowledge management principles, most notably adaptability, self-confidence, leadership, and human resource development, all of which contribute to business-to-market uncertainty.

The Influence of Lifestyle and Consumer Attitudes on Purchase Decisions through Customer Satisfaction at Cafe Brogul Makassar Setyowati, Rr Dyah Eko
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

This study aimed to analyze the lifestyle and consumer attitudes towards purchasing decisions through customer satisfaction at the Brogul cafÃ© in the city of Makassar. This research is quantitative. The selection of research sites was carried out by purposive sampling, namely, choosing research locations intentionally by considering specific aspects, namely Cafe Brogul Makasar as a fostered MSME of the Indonesian Women's Empowerment Forum (FPPI). The data analysis method used in this study used quantitative descriptive analysis methods. This study's data instrument testing consisted of validity and reliability. The data analysis technique in this study consisted of Normality Test, Model Suitability Test, and Hypothesis Testing. Based on the analysis and discussion above, it can be concluded that, among others, Lifestyle and Consumer Attitudes have an influence on Customer Satisfaction, Lifestyle and Consumer Attitudes have a positive and significant impact on Purchase Decisions, the greater the effect of customer satisfaction, the greater the purchase decision

Face Recognition Using Machine Learning Algorithm Based on Raspberry Pi 4b Sunardi, Sunardi; Fadlil, Abdul; Prayogi, Denis
International Journal of Artificial Intelligence Research Vol 6, No 1 (2022): June 2022
Publisher : Universitas Dharma Wacana

Machine learning is one of artificial intelligence that is used to solve various problems, one of which is classification. Classification can separate a set of objects based on certain characteristics. This study discusses the classification of objects in the form of facial images with the aim of the system being able to recognize a person's face to access a room for security reasons. The application of machine learning using the support vector machine algorithm with the support vector classifier technique is implemented on a raspberry pi-based security device. Â The results of training using this algorithm produce a model with 99% accuracy in 0.10 seconds based on testing data of 525 face images. The model evaluation got 99% precision, 99% recall, and 99% f1-score. Testing the model made from the training process using the raspberry pi model 4b is can recognize facial images in real-time. Â If the security device detects someone at the door and then recognizes the face image then room access will be granted and an alarm is activated indicating the door is open.

The Influence Of Personality On Job Satisfaction Of The Head Of Bumdesa In The Bogor District Herman Herman; May Mulyaningsih; Sri Hartini
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : International Journal of Artificial Intelligence Research

The purpose of this study is to determine the influence of personality on job satisfaction Head of BUM Villages in Bogor Regency, using a questionnaire that has been tested for validity and reliability by as many as 30 respondents from 131 people, with the verification method carried out through the method and analysis of the Structural Equation Model (SEM) equation using the Lisrel 8.70 software. Based on the results of data analysis, the value of t-count < t-table, or 11.88 > 1.96. The significance test was carried out by t-test at the level of = 0.05 and obtained a t-count value of 11.88 and more excellent than 1.96. Thus H0 is rejected, and H1 is accepted; this means that the hypothesis that personality has a significant effect on job satisfaction. This means that personality variables have a significant influence on job satisfaction. Based on these results, to improve the personality of the BUMDes head in Bogor Regency, the recommended program is to increase the dimension of openness to experience with indicators of fantasy, aesthetics, feelings, actions, ideas, and values. Another program that can be implemented is through training on the formation of characteristics, aesthetics, and the formation of individual values for the heads of BUMDes in Bogor Regency. The suggested program is to increase the dimension of openness to experience with indicators of fantasy, aesthetics, feelings, actions, ideas, and values. Programs can be implemented through increasing responsibility for actions/activities and generating business ideas.

Fuzzy subtractive clustering (FSC) with exponential membership function for heart failure disease clustering Annisa Eka Haryati; sugiyarto - surono; Tommy Tanu Wijaya; Goh Khang Wen; Aris Thobirin
International Journal of Artificial Intelligence Research Vol 6, No 1 (2022): June 2022
Publisher : STMIK Dharma Wacana

Objective: Fuzzy clustering algorithm is a partition method used to assign objects from a data set to a cluster by marking the average location. Furthermore, Fuzzy Subtractive Clustering (FSC) with hamming distance and exponential membership function is used to analyze the cluster center of a data point. Therefore, the purpose of this research is to determine the number of clusters with the best quality by comparing the Partition Coefficient (PC) values for each number produced. Methods: The data set which is heart failure patient data is 150 data obtained from UCI Machine Learning. The data consists of 11 variables, including age , anemia , creatinine phosphokinase , diabetes ejection fraction , high blood pressure , platelets , serum creatinine , serum sodium , gender , and smoke . It simulated and processed using Fuzzy Subtractive Clustering Algorithm, Jupyter Notebook Software with Python programming language. Result: The results showed that the most optimal number of clusters is 3, which are selected based on the largest PC value. Conclusion: Based on the results obtained, the highest P value is in cluster 3, therefore heart failure can be grouped into 3, namely low, moderate, severe.

Development of PCB Defect Detection System Using Image Processing With YOLO CNN Method Santoso, Agus Dwi; Cahyono, Ferry Budi; Prahasta, Brendi; Sutrisno, Imam; Khumaidi, Agus
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

Inside the equipment there are many electronic components such as resistors, transistors, capacitors and so on. When used in the production of electronic equipment, PCBs are very influential in the manufacture of these electronic devices, for example, when there are only a few broken or damaged PCB paths, the electronic device cannot be operated properly. So it is very important in the PCB Quality Check process to check whether there is damage to the PCB or not. Usually in PCB inspection only direct checking is used in the conventional way. Therefore, in this study, the author tries to create and analyze a PCB flaw checking tool with the help of a camera that has a high revolution to replace human vision to make it easier and save costs. The application of this PCB checking tool uses a technology called a laptop and a camera. With these two technologies, Image Processing can be used to detect objects using the OpenCv and Tensorflow libraries. PCB flaw detection tool with the help of Image Processing with the YOLO Convolutional Neural Network method to help determine broken paths and drill holes on the PCB

Implementation Of Criminal Law For Communities That Conduct Activities Outside The Home During The Covid-19 Pandemic In Indonesia Busroh, Firman Freaddy; Khairo, Fatria
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

The Covid-19 pandemic has become a very dangerous infectious disease with so many deaths globally. Through the National Disaster Management Agency, the government then coordinates to suppress disasters resulting from the Covid-19 pandemic by implementing social distancing and physical distancing policies. But unfortunately, there are still many violations among the public in following this policy, such as going out of the house carelessly when there are restrictions. Therefore, it is necessary to have a policy from the government against violators of this regulation. This research will use a statute approach and a conceptual approach. The study results found that the Indonesian government had made various efforts to prevent the spread of Covid-19 and implemented different new laws to prevent the spread of Covid-19. Several government policies that support this effort are the implementation of work from home, social distancing, etc. Finally, there are also criminal sanctions given to people who are not in line with government policies through article 212, article 216, and article 218 of the Criminal Code.

The Political Economy of Fulfilling the Minimum Essential Force: Contextual investigations of Idea Improvement in the Guard Business Guntur Eko Saputro; Junindra Duha
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

This article investigates the effectiveness of policies in Fulfilling the Minimum Essential Force in Indonesia through Defense Budget Allocations based on Law Number 3 of 2002 concerning National Defense. One of the targets of the Indonesian Government in the defense sector is the independence of the defense industry to produce defense equipment without relying on other countries through the Minimum Essential Force (MEF). The fulfillment of the Minimum Essential Force (MEF) target is to reach 100 percent by the end of Minimum Essential Force (MEF) III by the end of 2024. But, Indonesia's defense budget for the 2009-2018 period is still below 1 percent of GDP, or below the average defense budget. ASEAN's countries. Our findings suggest that budgetary support is required from the Government to meet the Minimum Essential Force (MEF) by increasing the defense budget by at least 1.5 percent on the target

E-Government, the Era of Disruption and the Future of Public Service in Indonesia Musaad, Muhammad
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

In the age of disruption, information and communication technology (ICT) is critical to the development of a company and the people who use it. In this day and age of disruption, the government promotes ministries and institutions to transition from manual to electronic information delivery, often known as E-Government. The whole public has access to it. The use of e-government is intended to boost public service transactions that are not restricted by time or place, and at a low cost to the community. The purpose of this research is to investigate E-Government, the age of disruption, as the future of government services in Indonesia. A qualitative investigation using a descriptive method is used in this study. The study's findings show that implementing e-government brings benefits from the economic, social, and government dimensions, as well as the perspective of public services, such as cost savings, economic development support, increased transparency, better services for the community, and participation in community empowerment. Meanwhile, in this disruptive age, the deployment of E-Government in public services via the use of Information and Communication Technology by government entities and institutions reflects this. According to the findings of this study, the performance of E-Government in public services in Indonesia is now beginning to grow in quantity. Still, in the future, it must be able to produce high-quality goods in order to keep up with other nations across the globe

The Smart Mobility Concept by Developing Online-Based Transportation Information and Communication Technology for Sustainable Transportation Djajasinga, Nico Djundharto
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

The advancement of communication technology is rather quick, resulting in societal changes. Many companies have begun to emerge as a result of communication technology advancements, one of which is the introduction of intelligent transportation in the form of online-based transportation services. People can better evaluate which mode of transportation is best for their mobility requirements by integrating transportation services with information and communication technologies. This study was carried out in order to identify smart transportation through the advancement of information technology and online-based transportation communication. This research employs a descriptive qualitative technique in which the author attempts to describe, analyze, and construct meaning regarding existent occurrences. The study's findings indicate that combining transportation services with the use of information and communication technology causes major changes in people's social lives, particularly in the usage of transportation for activities. Internet transportation combines the most recent transportation advancements with online communication technology to deliver community convenience. To order transportation online at any time and from any location. The Smart Mobility concept can be applied to online transportation, particularly online motorcycle taxis like Go-Jek and Grab a bike, by utilizing categories, indicators, and parameters tailored to the development of Online Ojeks, such as accessibility, sustainability, and information technology systems.

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Home Page

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Contact Name
Heri Nurdiyanto

Contact Email
Heri Nurdiyanto

Phone
-

Journal Mail Official
internationaljournalair@gmail.com

Editorial Address
-

Location
Kota metro,

Lampung

INDONESIA