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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 53 Documents
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Search results for , issue "Vol 7, No 1.1 (2023)" : 53 Documents clear
Information System Based On Attraction Of Travel Selfies And Intention To Visit Tourist Destinations In The Context Of A Study Of The Utilitarian And Hedonic Benefits Of Travel Selfies Ardyan, Elia; Wijaya, Oscarius Yudhi Ari
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.v7i2.1035

Abstract

Creating an information system based on travel selfie appeal and intention to visit tourist destinations involves integrating utilitarian and hedonic aspects to enhance user experience. Combining utilitarian and hedonic features, the information system aims to enhance the overall travel experience, from trip planning to enjoying the destination, while leveraging the appeal of travel selfies to create a more engaging and personalised platform. This study investigates the impact of utilitarian and hedonic advantages on the attractiveness of travel selfies and the intention to travel. There are 420 respondents from generation Z. The analysis employed is structural equation modeling, with Amos version 26 utilized to process the data. The findings of this study demonstrate that the utilitarian and hedonic effects of trip selfies can enhance their appeal. The appeal of travel selfies is a significant aspect of attracting travelers to travel destinations. Other research shows that hedonic benefits are more likely to get people to visit a site than utilitarian benefits. There are several implications presented both managerially and theoretically
Analysis of Graduate Success Patterns Based on Association Rule Mining to Increase the Achievement of the Performance Index of Higher Education Graduates wasilah, wasilah; Halimah, Halimah
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.v7i1.1.1095

Abstract

The main performance index (KPI) of graduates is an important factor for universities. However, there is still very little research that discusses the achievement of IKU graduates. If this is managed well, universities can take more effective action to improve the quality of education and prepare graduates to be successful in their careers. This research will utilize data mining to photograph the achievements of implementing one of the main performance indices in higher education.
Sharia Bank Information Systems in the Context of Value Chain Financing Suriani, Seri -; Baharuddin, Sitti Mujahida Baharuddin Mujahida; Nur, Indrayani; Abubakar, Herminawaty; Sukmawati, Sukmawati
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.v7i1.1.1052

Abstract

This research aims to test and analyze the financing value chain at Bank Syariah Indonesia. The population is sharia banking in Indonesia. The results of the research state that based on the existing research problem formulation and data analysis that has been carried out regarding Value Chain Analysis based on sharia principles, several things can be concluded, namely: the application of the Value Chain Analysis concept with a sharia principle approach to activities. Good Corporate Governance has 5 principles that are used to realize good corporate governance.
Brain Tumor Detection On Magnetic Resonance Imaging Using Deep Neural Network Sutedi, Sutedi; Maulana, Muh Royan Fauzi; Agarina, Melda; Karim, Arman Suryadi; Nurfiana, Nurfiana
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.v7i2.1061

Abstract

Cancer is a heterogeneous disease that can attack all parts of the body. Cancer is caused by the abnormal and uncontrolled growth of body cells, resulting in damage to body tissue and the potential to cause death. Cancer is a type of malignant tumor that attacks the body, one of which is the brain. Every year there are 300 brain tumor patients in Indonesia, both adults and children. Generally, doctors use two methods to diagnose these tumors, namely: biopsy and magnetic resonance imaging (MRI). Although the use of biopsy is quite accurate in identifying brain tumors, the time required is relatively long, reaching 15 days. While using MRI is relatively fast, the resulting accuracy is low and depends on the experience of medical personnel. This research aims to develop a method for diagnosing brain tumors using MRI images to make it faster and more accurate. The method used in this research was a deep neural network with a convolutional neural network (CNN) architecture layer. This method was chosen because deep learning has the advantage of pattern recognition with a high level of accuracy and is directly proportional to the number of datasets. This study used a dataset of 300 MRI images with two-dimensional (2D) axial imaging. The metrics used as a basis for the performance of the deep neural network model are accuracy, sensitivity, specificity, precision, and dice similarity coefficient with the results of each metric, namely: 99.3%, 98.6%, 98%, 98%, 98.3%. The research results showed that a deep neural network can speed up the diagnosis of brain tumors with high accuracy within 0.2 seconds.Â
IMPACT OF THE USE OF AGRICULTURAL TOOLS AND MACHINERY ON WOMEN'S PARTICIPATION IN RICE BUSINESS IN MINASA TE'NE DISTRICT, PANGKEP REGENCY Ekasari, Kartika; Mufidah Muis, Mufidah; Darhyati, Andi Tenri; Saade, Aminuddin; Beddu, Hartina
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.v7i1.1108

Abstract

This study aims to determine the impact of using agricultural tools and machinery on women's participation in rice farming in Minasa Te'ne District, Pangkep Regency. Respondents in this study were selected directly (purposive sampling) with certain considerations. In this study, the data collected came from interviews with 153 respondents. Respondents are female farmers (Wanita Tani) who cultivate rice. The data collected in this study include primary data and secondary data. Primary data is data obtained through in-depth interviews using a tool in the form of a list of questions or questionnaires in addition to direct observation. Secondary data supports this research obtained from the results of a literature review, reports from various agencies, including the Agriculture Service, Agricultural Extension Center, District Office, Village Office, or other agencies relevant to the research. Obtained were tabulated and processed descriptively, qualitatively and quantitatively. The results showed that women's participation acted as housewives and directly contributed working time to rice farming. Efficiency has been achieved through agricultural mechanization; the revenue obtained is 1.1 times the total costs incurred. Before mechanization, women received wages of Rp. 3,071,548.31, while after mechanization, women received wages of Rp. 1,212,313.22. The difference in wages between before mechanization and after Mechanization is IDR 1,859,235.09.
The Decision to Use Sharia Bank with Islamic Financial Literacy and The Mediating Role of Trust Fitrianingsih, Fitrianingsih; Qorib, Ahmad; Siregar, Saparuddin; Saragih, Lenny Menara Sari
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.v7i2.1026

Abstract

Purpose– The research’s aims  to determine the relationship between Islamic financial literacy and customer decisions in choosing Islamic Bank  with trust as an intervening variable.Methodology – This is a quantitative research. The data were collected using questionnaire that was distributed to customers and also digged out  a variety of good information from articles, journals, books and various other literature sourced from the internet. The The quantity of respondents in this research  were 100 people with data analysis techniques using variance-based SEM with Smart Pls 3.0 software. Findings– This research’s reult that the four proposed research hypotheses were accepted, meaning that there was a positive and significant influence from the Islamic financial literacy variable to trust as well as to the decision to choose, trust also had a significant relationship to the decision to choose and the indirect relationship between Islamic financial literacy to the decision to choose through trust. also had a significant relationship. Originality– This study uses Smart Pls in data processing and this research can contribute to Islamic banks in determining factors that can improve customer decisions so that the number of customers is increasing, assets are increasing and the development of Islamic banks is more advanced.
Evaluation Of The Implementation Of The SELEDRI Policy Towards E-Government Haryaningsih, Sri; Yohanes, Yulius; Andriani, Farah Devi; Elyta, Elyta
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.v7i1.1.1113

Abstract

Presidential Instruction No. 3 of 2003 about national policies and goals for e-government development shows the government's commitment to using information technology (IT) infrastructure to carry out government functions. Under Presidential Instruction No. 3 of 2003, the government directed various government agency officials, including governors and regents/mayors, to carry out measures to implement e-Government on a national scale. They were also instructed to develop and execute subsequent plans, collaborate with the Minister of State for Communications and Information, and ensure the president's instructions were implemented to the best of their abilities. This study focuses on identifying and addressing issues, therefore the researcher aims to understand the elements that affect the implementation of the SELEDRI programme, which has not been effective in building e-government at the Population and Civil Registration Service of Kubu Raya Regency. The researcher's choice of research method aligns with the research objectives. numerical Since it employs a method. This study employs the idea of George C. Edward Edward III, who argues that policy implementation is affected by Communication, Resources, Disposition, and Bureaucratic Structure. Thus, academics aim to do study on assessing the degree of success in Policy implementation SELEDRI
Blockchain Application On Independent Smart Agriculture Hilabi, Shofa Shofiah; Fauzi, Ahmad; Tukino, Tukino
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.v7i1.1.988

Abstract

The agricultural supply chain is currently facing challenges such as lack of transparency, uncertainty in product origin, and difficulty in accurately tracking products. This article discusses the application of blockchain technology as a solution to enhance agricultural supply chain management. It analyzes how blockchain can improve transparency, reliability, and security in agricultural supply chain management by recording and verifying information in a decentralized manner. Through blockchain, information such as product origin, production methods, shipping details, and storage conditions can be easily traced and verified by the involved parties. The implementation of blockchain also enables smart contracts to automatically execute agreements and payments based on predefined conditions, reducing bureaucracy and enhancing efficiency. The article also addresses challenges in implementing blockchain in the agricultural supply chain, such as data standardization and collaboration among stakeholders. By implementing blockchain technology, it is expected to create a more transparent, efficient, and trusted agricultural supply chain, benefiting farmers, producers, distributors, and consumers by ensuring product authenticity, improving compliance with quality standards, and minimizing the risks of counterfeiting or contamination.  
Factor Analysis Of Increasing Elderly Tourist Satisfaction At Bogor Botanical Garden Apriyanti, Rehulina; Akhirson, Armaini; Angin, Rosliyana Perangin
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.v7i1.1.1086

Abstract

This study aims to be able to find out the influence of the image of tourist destination locations, prices, and facilities in the tourist area in the Bogor Botanical Garden on the satisfaction of elderly tourists. This study uses quantitative analysis through several resistant tests, namely the validity test stage, reliability test stage, and classical assumption test stage (normality test, multicollinearity test, heteroscedasticity test), multiple linear regression analysis stage. The hypothesis test is to perform a t-test, an F-test, and a coefficient of determination. Data was collected by making questionnaires to be distributed to 100 respondents through random sampling and analysis using SPSS. The results of this study show that there are some of the destination image variables will greatly affect the satisfaction of elderly tourists in the Bogor Botanical Garden tourist area, where the price will affect the satisfaction of elderly tourists, and the existence of facilities in the Bogor Botanical Garden tourist area will affect the satisfaction of elderly tourists. So it can be concluded that the image of a tourist destination area, prices, and facilities will be able to affect the satisfaction of elderly tourists in the Bogor Botanical Garden tourist area.
ISO, Contract Management And Blockchain On Profit Quality Tjun, Lauw Tjun; Sabrina, Olivia Windy; Thoma, Caritas Ignasia Yeni
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.v7i1.1.1112

Abstract

The purpose of this research is to determine the effect of ISO, Management Contracts, and Blockchain on Earnings Quality in manufacturing companies listed on the Indonesia Stock Exchange for the period of 2016-2018. The 2016-2018 period was chosen because before the COVID-19 pandemic, Inondesia's economic condition was still stable, thus providing ideal information to see the company's performance. The approach of this research is quantitative research. The population of this research is 10 companies listed on the Indonesia Stock Exchange in 2016-2018. The sampling technique is done by using purposive sampling method that produces 30 samples during 2016-2018. The data used are secondary data taken through documentation techniques consisting of manufacturing companies annual report in 2016-2018. The method of data analysis in this research is panel data regression analysis. The results showed that Blockchain has a positive influence on Earnings Quality, ISO and Contract Management have no influence on Earnings Quality

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