cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ado Bano Riyan
Contact Email
jouairjournal@gmail.com
Phone
+62895617521121
Journal Mail Official
jouairjournal@gmail.com
Editorial Address
Jl. Sultan Ageng Tirtayasa No.12, Kedungjaya, Kec. Kedawung, Kabupaten Cirebon, Jawa Barat 45611.
Location
Kab. cirebon,
Jawa barat
INDONESIA
Journal of Artificial Intelligence Research
Published by Asosiasi Persatuan Pengusaha Muda Teknik Informatika
ISSN : 31090508     EISSN : 31090508     DOI : 10.64910
Core Subject : Science,
Materials Science & Nanotechnology
Areas of interest include, but are not limited to: Agents and Multi-Agent Systems Automated Reasoning and Inference Constraint Processing and Search Techniques Knowledge Representation and Ontologies Machine Learning and Deep Learning Natural Language Processing (NLP) Planning, Scheduling, and Decision-Making Robotics, Computer Vision, and Perception Uncertainty in AI and Probabilistic Reasoning Human-AI Interaction and Explainable AI
Arjuna Subject : Teknik (semua kategori) - Teknologi Media
Articles 10 Documents
 1 
ARTIFICIAL INTELLIGENCE IN CYBERSECURITY RISK ANALYSIS ON NATIONAL VITAL INFRASTRUCTURE Magfiroh, Diana
Journal of Artificial Intelligence Research Vol. 1 No. 1 (2025): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v1i1.6

Abstract

The development of digital technology has a significant impact on increasing cybersecurity threats, especially on national vital infrastructure such as the energy, transportation, and health sectors. Cyberattacks targeting these sectors have the potential to disrupt essential public services and threaten national security. Therefore, the use of Artificial Intelligence (AI) in cybersecurity risk analysis is an urgent need. This study aims to examine the effectiveness of AI in detecting and mitigating cyber threats on vital infrastructure. The method used is a mixed methods approach that involves quantitative analysis through questionnaires on the cybersecurity team and network log data analysis using the Isolation Forest and K-Nearest Neighbors algorithms. The results show that the application of AI can increase the speed of detection and effectiveness of threat mitigation, with anomaly detection accuracy reaching 95% and an odds ratio of 2.5 in cyber threat mitigation. These findings underscore that AI has a significant contribution to strengthening cybersecurity resilience on national infrastructure. However, some challenges such as integration with legacy systems and supporting regulatory needs need to be considered for further optimization.
THE EFFECT OF MACHINE LEARNING ALGORITHMS ON HOAX DETECTION ON SOCIAL MEDIA: IMPLICATIONS FOR NATIONAL INFORMATION SECURITY Solikhah, Mar’atus
Journal of Artificial Intelligence Research Vol. 1 No. 1 (2025): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v1i1.7

Abstract

The spread of hoaxes on social media has become a serious threat to national information security, considering the large number of people who depend on social media as a source of information. This misinformation not only has an impact on public perception but also disrupts social and political stability. This study aims to test the effectiveness of machine learning algorithms, especially Natural Language Processing (NLP), Neural Networks, and Decision Tree, in detecting hoaxes on social media and analyzing their implications for national information security. The method used is a quantitative approach with experimental and comparative analysis of the three algorithms. The data was collected through web scraping from social media platforms and analyzed using the Confusion Matrix to assess accuracy, precision, recall, and F1-score. The results showed that NLP had the highest accuracy, reaching 92.7%, followed by Neural Networks with 90.1% and Decision Tree at 86.3%. In addition, the increase in hoax detection is directly proportional to the decrease in security incidents related to disinformation, indicating the important role of machine learning algorithms in maintaining national information stability. These findings support the implementation of hoax detection algorithms as part of a more comprehensive information security policy.
INTEGRATION OF AI IN EDUCATION SYSTEMS: ADDRESSING LEARNING QUALITY GAPS IN REMOTE AREAS Nurhaliza, Nurhaliza
Journal of Artificial Intelligence Research Vol. 1 No. 1 (2025): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v1i1.9

Abstract

The gap in access and quality of education in remote areas is a major challenge for the equitable distribution of education in Indonesia. Uneven technological infrastructure, especially internet access, hinders students in remote areas from getting the same quality of learning as students in urban areas. This study aims to analyze the potential and challenges of artificial intelligence (AI) integration in improving the quality of education in remote areas. Using a qualitative method with a descriptive approach, data were collected through in-depth interviews, field observations, and document analysis from several schools in remote areas. Data analysis was carried out using thematic analysis methods to identify patterns and key findings. The results show that AI has great potential in providing adaptive and personalized learning, despite significant barriers related to infrastructure and policy support. It was also found that effective AI adoption requires government support in the form of inclusive education policies, teacher training, and digital infrastructure improvements. This research recommends a collaborative strategy between the government, the education sector, and the private sector to strengthen the integration of AI as a long-term solution in addressing education gaps in remote areas.
ETHICAL ANALYSIS OF THE USE OF AI IN MEDICAL DATA MANAGEMENT: PRIVACY CHALLENGES IN THE DIGITAL AGE Farizki, Rafi
Journal of Artificial Intelligence Research Vol. 1 No. 1 (2025): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v1i1.10

Abstract

The use of artificial intelligence (AI) in medical data management has improved efficiency and accuracy in healthcare, but it presents significant ethical challenges, especially when it comes to patient privacy. Along with the rapid development of technology, concerns over the security and privacy violations of medical data are increasing, which can impact public trust in AI-based healthcare systems. The study aims to analyze the ethical challenges in the use of AI in medical data and identify strategies to strengthen patient safety and privacy. Using a qualitative method with a case study approach, this study involves in-depth interviews and analysis of policy documents from several health institutions. The results of the study reveal three main themes: (1) ethical challenges related to transparency and patient consent, (2) the risk of medical data leakage due to the lack of AI security standards, and (3) barriers to ethical AI implementation in the health environment, especially in developing countries. The recommendations of this study include the implementation of the latest encryption protocols, increased ethical awareness among medical personnel, and policy transparency to patients. These findings contribute to the development of medical data privacy policies in the digital era, as well as increasing public trust in AI technology in the health sector.
APPLICATION OF AI IN LOGISTICS AND SUPPLY CHAIN OPTIMIZATION FOR LOCAL ECONOMIC DEVELOPMENT: A CASE STUDY IN THE MSME INDUSTRY Umam, Aldo Faisal
Journal of Artificial Intelligence Research Vol. 1 No. 1 (2025): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v1i1.11

Abstract

Artificial intelligence (AI) has become an important innovation in improving logistics and supply chain efficiency in various sectors, including the Micro, Small, and Medium Enterprises (MSMEs) industry. However, many MSMEs still face challenges in implementing AI effectively, such as limited costs, technical knowledge, and technological infrastructure. This research aims to analyze the application of AI in logistics and supply chain optimization, as well as its impact on local economic development. The research method uses a mixed approach, namely thematic analysis on qualitative data to understand the constraints and perceptions of MSME actors and descriptive statistical analysis on quantitative data to measure the impact of AI application on logistics efficiency. The results show that the application of AI is able to improve the efficiency of stock management, optimize delivery routes, and reduce distribution costs by up to 20%. However, implementation cost constraints and limited technology infrastructure are still the main obstacles for MSMEs in utilizing AI optimally. The recommendations of this study include technology subsidies from the government and technical training programs for MSME actors so that they can overcome challenges and utilize AI to support local economic growth.
Transforming the Role of Teachers in the AI Era: An Analysis Critical to Competence Professionals and Needs Training in Indonesia Salsabila, Irma Nuraeni; Asyifah, Alifiatun
Journal of Artificial Intelligence Research Vol. 1 No. 2 (2025): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v1i2.12

Abstract

Transformation the role of teachers in the era of intelligence artificial intelligence (AI) becomes phenomenon important in dynamics Indonesian education . Changes technology demand shift paradigm from role traditional teacher towards role as facilitators , innovators , and users technology learning . However , the adoption of AI in education Not yet accompanied with improvement teacher competency in general evenly distributed , which causes challenge in management learning based technology . Research This aiming to : (1) analyze form transformation the role of teachers in Indonesia due to AI development ; (2) evaluating competence professional teachers in context digitalization education ; and (3) identifying need relevant and sustainable teacher training . Methods study use approach qualitative-descriptive with analysis content literature scientific latest and supporting data from survey national fictitious . Data analyzed use approach thematic to competence teacher professionalism and dynamics digital training . The results show that part big teacher still dominant in competence pedagogic traditional (82%) and only few are able leveraging AI in learning (28%). It was also found that need training covers three main domains : digital literacy , mastery AI pedagogy , and development curriculum innovative . Competency gap and lack of system adaptive training​ become obstacle main transformation this . Therefore that , is needed synergy policies , training contextual , and collaborative cross sector use push role new teachers in the AI era maximum.
Integrating Generative AI to in National Education System : Framework Work For Implementation Ethics in Developing Countries Solikhah, Mar'atus; Komarudin, Komarudin
Journal of Artificial Intelligence Research Vol. 1 No. 2 (2025): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v1i2.13

Abstract

Development Generative Artificial Intelligence (Generative AI) has rapidly open opportunity transformation in system education , especially in developing countries . However , integration technology This present challenge ethical , gap infrastructure and inequality digital literacy . Research This aim For formulate framework Work ethical use implementing Generative AI inclusive and responsible answer in system education national . Method research used​ is studies qualitative with multi- case approach in Indonesia, Kenya, and Bangladesh. Data collected through interview deep with stakeholders interest education , analysis document policies , as well as observation on the project pilot AI integration in schools . Research results show that success Generative AI integration is very depends on three main pillars : (1) clarity policy ethics AI usage , (2) readiness digital infrastructure and training educators , as well as (3) data protection and rights students . Framework proposed work​ covers guide practical based principle justice , transparency , and inclusiveness . Study This expected can become reference for developing countries in build ecosystem adaptive education​ to technology without sacrifice values ethics and justice social .
Development National Ethical Framework for AI Use in Indonesia: Perspectives Regulation and Socio-Cultural Values Ramadhan, Fatih Humam; Munawaroh, Siti
Journal of Artificial Intelligence Research Vol. 1 No. 2 (2025): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v1i2.14

Abstract

Development rapidly intelligence Artificial Intelligence (AI) brings impact big to various sector life , but at a time cause challenge complex ethics , especially in developing countries like Indonesia. Until moment this , Indonesia has not own framework ethics national regulation​ the use of AI in comprehensive and contextual research​ This aim For develop framework ethics national that is not only based on the principles global ethics , but also in harmony with values Indonesian social and cultural methods research used​ is qualitative exploratory , with technique data collection in the form of interview deep against 20 informants key , study documentation and observation literature . Data analyzed use approach analysis Miles & Huberman's thematic research results show that five principles the main thing that is considered priority in framework national AI ethics is transparency , fairness , privacy , responsibility answer , and suitability with mark local . The findings also revealed existence asynchrony between existing digital regulations with need protection ethics in use of AI. Therefore that , the framework proposed ethics​ consists of from six component main ones that include principle basic , standard technical , governance institutions , supervision public , literacy ethics and harmonization international research​ This confirm importance approach contextual and participatory in formulate responsible AI policy responsible , inclusive , and sustainable in Indonesia.
Risk Security Cyber in System AI -Based : Study Evaluative on Indonesian Government Digital Infrastructure Fauziyyah, Ghina; maulana, Indra; Komarudin, Komarudin; Selamet, Rachmat
Journal of Artificial Intelligence Research Vol. 1 No. 2 (2025): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v1i2.15

Abstract

Digital transformation in sector the Indonesian government has push adoption technology intelligence artificial intelligence ( AI) wide , starting from service public until taking decision data- based . However , the development This accompanied with increasing complexity threat security cyber which is special target system AI -based research This aim For evaluate readiness government digital infrastructure in face risk security emerging cyber​ from use AI technology . The methods used is approach mixed - methods , with technique survey , interview in-depth , and study documentation to eight agency government centers and regions that have implement AI system . Research results show existence inequality between readiness adoption AI technology and protection security cyber . The most frequent threats found includes adversarial input, script injection, and social engineering against system administrators . Most of agency Not yet own policy or procedure technical specifically regulating​ mitigation risk AI security research This confirm importance compilation standard national security AI systems , HR training related to AI security, and implementation of algorithmic audits periodically in system government . With thus , the article This give contribution important in governance development​ security adaptive and responsive cyber​ to AI risks in the sector public .
Transforming the Role of Teachers in the AI Era: An Analysis Critical to Competence Professionals and Needs Training in Indonesia Widianingsih, Zeny
Journal of Artificial Intelligence Research Vol. 1 No. 2 (2025): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v1i2.16

Abstract

Transformation the role of teachers in the era of intelligence artificial intelligence (AI) becomes phenomenon important in dynamics Indonesian education . Changes technology demand shift paradigm from role traditional teacher towards role as facilitators , innovators , and users technology learning . However , the adoption of AI in education Not yet accompanied with improvement teacher competency in general evenly distributed , which causes challenge in management learning based technology . Research This aim to : (1) analyze form transformation the role of teachers in Indonesia due to AI development ; (2) evaluating competence professional teachers in context digitalization education ; and (3) identifying need relevant and sustainable teacher training . Methods study use approach qualitative-descriptive with analysis content literature scientific latest and supporting data from survey national fictitious . Data analyzed use approach thematic to competence teacher professionalism and dynamics digital training . The results show that part big teacher still dominant in competence pedagogy traditional (82%) and only few are able leveraging AI in learning (28%). It was also found that need training covers three main domains : digital literacy , mastery AI pedagogy , and development curriculum innovative . Competency gap and lack of system adaptive training​ become obstacle main transformation this . Therefore that , it is needed synergy policies , training contextual , and collaborative cross sector use push role new teachers in the AI era maximum .

Page 1 of 1 | Total Record : 10

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 1 No. 2 (2025): Journal of Artificial Intelligence Research Vol. 1 No. 1 (2025): Journal of Artificial Intelligence Research