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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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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.
Analysis of Relationship Marketing Lifestyle Consumer Attitudes on Purchasing Decisions and their impact on Loyalty for MSME Products Made from Sea Products in Sidoarjo Regency. Setyowati, Dyah Eko; Hambalah, Febrina
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.v8i1.1.1218

Abstract

Lifestyle and consumer behavior are influenced by the rapid development of technology, the digital world and the internet of course also have an impact world of marketing. Marketing trends are shifting from conventional (offline) to digital (online). This digital marketing strategy is more prospective because it allows potential customers to obtain information about products and make transactions via the internet. Various digital marketing activities include search engine optimization (SEO), search engine marketing (SEM), content marketing, influencer marketing, content automation, campaign marketing, E-Commerce marketing, social media marketing, social media optimization, e-mail direct marketing, display advertising, e-books, optical disks, games, and various other forms of digital media. Its activities can also be extended to non-internet channels that provide digital media services, such as mobile phones (SMS and MMS).Several indicators that can be used currently include the increase in digital advertising expenditure, growth in smartphone ownership which provides easy internet access, improvements to telecommunications infrastructure in order to increase the quality of data access, and the launch of 4G services. According to Facebook data, 74% of internet users in Indonesia use mobile devices (Utomo, 2016) Quoting the report, We are Social (2023)a digital marketing agency in America, saidFacebook is the platform with the highest number of active users, reaching 2.9 billion as of January 2023. Followed by the YouTube platform with the number of active users reaching 2.2 billion. This research is quantitative research, which according to Creswell is quantitative research as an effort to investigate problems. Where this problem is the basis for researchers to collect data, determine variables and then measure them with numbers so that analysis can be carried out in accordance with applicable statistical procedures. The selection of research locations was carried out using a purposive sampling method, namely a technique for selecting research locations deliberately by considering certain aspects. In this research, hypothesis testing uses the Partial Least Square (PLS) analysis technique with the Smart PLS programThe inner model or what is usually called an influence test or hypothesis test aims to predict relationships between latent variables.From the research conclusions, it can be suggested to marine product business players, to maintain profits and consistently increase sales, good management of relationships, lifestyle and consumer attitudes must be carried out. By maintaining relationships with the media, promotional tools, digital marketing. Consumer lifestyles must also be maintained by holding events that focus on seafood-based foods, including by synergizing with holding Food Festivals, seafood cooking courses, introducing seafood so that Gen Z will be more popular. For consumer attitudes, this can be done with massive publicity, intensive, about the importance of seafood and its benefits, the importance of seafood for body health and stamina.
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
Analysis of Capital Asset Pricing Model (CAPM) as a Basis for Investing in Stocks (Case Study on the Banking Sub-Sector of the Business Index-27 in the 2022 IDX) Idrus, Muhammad Islah
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.v8i1.1.1209

Abstract

This study aims to analyze optimal investment options in the banking sub-sector in the Bisnis-27 Index on the Indonesia Stock Exchange (IDX) in 2022, using  the Capital Asset Pricing Model (CAPM) approach. Stock movement, risk, and return data were analyzed from 2020 to 2022 to illustrate capital market dynamics related to the impact of the COVID-19 pandemic and global economic factors.This quantitative descriptive research is to provide an accurate and systematic picture of stock returns and the systematic risks of the banking subsector in the Business-27 Index for 2022. All companies that are part of the Bisnis-27 Index and traded on the Indonesia Stock Exchange during that time period constitute the research population. This study uses the Capital Asset Pricing Model (CAPM) to evaluate investments by determining the potential returns and risks associated with stocks. To determine the systematic risk of an investment, we use Microsoft Excel to perform calculations including collecting data on the closing price of a stock, estimating market yields and yields, and calculating the beta coefficient.The results show that Bank Negara Indonesia and Bank Mandiri are among the efficient stocks, while Bank Central Asia and Bank Rakyat Indonesia are among the inefficient stocks. These findings provide valuable guidance for investors in making investment decisions based on stock efficiency and associated risks
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.  
The Influence Of Brand Image, Promotion And Product Quality On Purchase Decisions For Ardeponds Indonesia (Case Study Of Ardeponds Indonesia Skincare In Pulogadung District) Yusuf Suhardi; Dadang Munandar; Dian Surya Sampurna; Meita Pragiwani; Diana Diana
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.v8i1.1.1193

Abstract

The aim of this research is to determine the influence of brand image, promotion and product quality on purchasing decisions at Ardepons Indonesia in Pulogadung District, Jakarta. The research used is quantitative with the research strategy used by researchers being an associative strategy. This research uses primary data by distributing questionnaires to 97 Ardepons user respondents. The sampling technique used was non-probability sampling. The data processing method in this research uses validity testing, reliability testing, partial and simultaneous determination. This research tests the hypothesis using the SPSS Version 25 application. The results of this research show that the processing results areBrand image has a positive and significant effect on Ardepons purchasing decisions. Promotions have no effect on purchasing decisions for the Ardepons brand. Product quality has a positive and significant effect on purchasing decisions. Brand image, promotion and product quality simultaneously have a positive and significant effect on purchasing decisions for Ardepons Cosmetics.
The Classification Method is Used for Sentiment Analysis in My Telkomsel Hardiansyah, Deni; Aziz, RZ Abdul; Hasibuan, Muhammad Said
International Journal of Artificial Intelligence Research Vol 8, No 2 (2024): December 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i2.1229

Abstract

User reviews significantly impact how mobile apps are perceived and provide developers with valuable insights into improving the functionality and quality of their products. Sentiment analysis of these evaluations helps identify the main issues faced by consumers, such as technical difficulties, costs, and service levels. The main objective of this study is to classify user sentiment into positive and negative categories, focusing on the MyTelkomsel app. With the use of Google Play Scraper, 39,493 reviews on various app versions and user experiences were collected. This data was analyzed using multiple machine learning models, including Support Vector Machines (SVM), Naive Bayes, Random Forest, and Gradient Boosting, alongside the Natural Language Processing (NLP) approach. The results show that 39.2% of the reviews are positive, while 60.8% reflect negative sentiment. Among the models, SVM showed the highest accuracy in sentiment classification with a value of (0.854792), while Naive Bayes (0.775541), Random Forest (0.829725), and Gradient Boosting (0.819344) also performed well in sentiment classification. These findings suggest that developers can leverage the insights gained from this analysis to proactively improve the performance and user experience of the MyTelkomsel app, by addressing technical and service-related issues identified in user reviews.

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