cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mochamad Nashrullah
Contact Email
Nashrul.id@gmail.com
Phone
+6285745063538
Journal Mail Official
Nashrul.id@gmail.com
Editorial Address
Kavling Banar, Pilang, Sidoarjo, Jawa Timur
Location
Unknown,
Unknown
INDONESIA
IJOT
Published by Research Parks Publishing
ISSN : 26157071     EISSN : 26158140     DOI : https://doi.org/10.31149/ijot.v4i5
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
International Journal on Orange Technologies (IJOT) is an online international peer-reviewed journal that publishes high-quality original scientific papers, short communications, correspondence, and case studies in areas of research, development, and applications of orange technology and engineering. Review articles of current interest and high standards may be considered. Only those manuscripts are considered for publication, the contents of which have not been published and are not being considered for publication in any other journal. The journal focuses on various learning and investigation areas to reach better excellence in research development as a whole.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 831 Documents
 70   71   72   73   74 
An Analytical Look at the History of the Art of Uzbek Folk Instruments Marifatkhon, Khuraliyeva
International Journal on Orange Technologies Vol. 5 No. 5 (2023): International Journal on Orange Technologies
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i5.4417

Abstract

this article looks at the appearance of Uzbek folk instruments that appeared in the distant past and their origin. According to the data, it is assumed that the first musical instruments were created in 13 thousand years BC. We analyzed that the appearance of the first percussion instruments and ancient labor songs are directly related to the rhythmic structure of work.
The State of Inventory Accounting and Directions for its Improvement Khusanovich, Turaboev Temurbek
International Journal on Orange Technologies Vol. 5 No. 5 (2023): International Journal on Orange Technologies
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i5.4426

Abstract

This article provides an in-depth exploration of inventory accounting practices and their importance in business operations. The article reviews traditional and modern inventory accounting methods, highlighting their advantages, disadvantages, and common challenges. It also examines the classification and categorization of inventory, emphasizing the benefits of accurate categorization and providing examples of inventory classification systems. Additionally, the article delves into inventory valuation methods, comparing FIFO, LIFO, and weighted average approaches. It explores costing techniques, including absorption costing, direct costing, and activity-based costing (ABC), along with the allocation of overhead costs. The article emphasizes the significance of real-time tracking in inventory control and discusses various tracking technologies such as barcodes and RFID. It also explores the integration of inventory accounting with supply chain management systems and examines the impact of emerging technologies, automation, and artificial intelligence on inventory management. Finally, the article offers insights into potential future trends and developments in the field of inventory accounting. By following the recommendations provided, businesses can improve their inventory accounting practices, enhance accuracy, optimize inventory levels, and make informed decisions for better financial performance.
How Artificial Intelligence Can Protect Financial Institutions From Malware Attacks Almutairi, Saeed Mulawwah H
International Journal on Orange Technologies Vol. 5 No. 5 (2023): International Journal on Orange Technologies
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i5.4427

Abstract

The objective of this study is to examine the potential of artificial intelligence (AI) to enhance the security posture of financial institutions against malware attacks. The study identifies the current trends of malware attacks in the banking sector, assesses the various forms of malware and their impact on financial institutions, and analyzes the relevant security features of AI. The findings suggest that financial institutions must implement robust cybersecurity measures to protect against various forms of malware attacks, including ransomware attacks, phishing attacks, mobile malware attacks, APTs, and insider threats. The study recommends that financial institutions invest in AI-based security systems to improve security features and automate security tasks. To ensure the reliability and security of AI systems, it is essential to incorporate relevant security features such as explain ability, privacy, anomaly detection, intrusion detection, and data validation. The study highlights the importance of incorporating explainable AI (XAI) to enable users to understand the reasoning behind the AI's decisions and actions, identify potential security threats and vulnerabilities in the AI system, and ensure that the system operates ethically and transparently. The study also recommends incorporating privacy-enhancing technologies (PETs) into AI systems to protect user data from unauthorized access and use. Finally, the study recommends incorporating robust security measures such as anomaly detection and intrusion detection to protect against adversarial attacks and data validation and integrity checks to protect against data poisoning attacks. Overall, this study provides insights for decision-makers in implementing effective cybersecurity strategies to protect financial institutions from malware attacks.
Lexical Devices in Children's Poetry Ashurova, Z. Sh.
International Journal on Orange Technologies Vol. 5 No. 5 (2023): International Journal on Orange Technologies
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i5.4433

Abstract

The article deals with the work of representatives of modern children's poetry Algor Damin and Dilshod Rajab, analyzes examples of their poetic works. Considerations are made regarding the study of lexical means, divided into such parts as synonyms, antonyms, homonyms, paronyms.
Role of Teacher in the Classrom Management and Grouping Learners Bakhriddinovna, Kipchakova Sanobar
International Journal on Orange Technologies Vol. 5 No. 5 (2023): International Journal on Orange Technologies
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i5.4434

Abstract

This article describes the role of teacher in language teaching and effective classroom management, organizing the classroom and the learners. It discusses the ways of grouping learners or interaction patterns to use. The article also highlights tips about avoiding some classroom problems and possible reasons.
A Study on Image Categorization Techniques Renu; Princy; Bhatia, Kirti; Sharma, Rohini
International Journal on Orange Technologies Vol. 5 No. 5 (2023): International Journal on Orange Technologies
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i5.4438

Abstract

Image segmentation is the act of splitting a picture into meaningful and non-overlapping parts. It is a crucial step in comprehending natural scenes and has become a hotbed of research in the fields of image processing and computer vision. Even after decades of work and several successes, feature extraction and model design remain difficult. In this article, we carefully review the development in image segmentation techniques. Three crucial stages of image segmentation—classical segmentation, collaborative segmentation, and semantic segmentation based on deep learning—are primarily examined in accordance with segmentation principles and image data characteristics. We compare, contrast, and briefly discuss the benefits and drawbacks of segmentation models as well as their applicability. We also elaborate on the primary algorithms and critical strategies in each stage.
The Digital Transformation Benefits and Comparison Between the Current and Past For Absher Platform and Elm Almutairi, Saeed Mulawwah H
International Journal on Orange Technologies Vol. 5 No. 5 (2023): International Journal on Orange Technologies
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i5.4440

Abstract

This research paper analyzes the current state of digital transformation in Saudi Arabia, focusing on the evaluation of progress and identification of areas for improvement. A conceptual analysis approach is used, examining the benefits of digital transformation, and conducting a comparative analysis of the Absher and ELM platforms. Data from academic databases, industry reports, and official documents is synthesized using thematic analysis. The findings highlight the need for key recommendations to advance digital transformation in Saudi Arabia. The main recommendations include strengthening privacy and security measures for platforms like Absher, improving user experience by streamlining processes and enhancing interfaces, bridging the digital divide through infrastructure development in rural and low-income areas, and fostering collaboration among government entities, private organizations, and technology providers. Additionally, enhancing digital skills and literacy through training programs for citizens, businesses, and government employees is essential. Continuous evaluation and updating of strategies, promoting transparency and accountability in the development and delivery of digital services, and fostering an innovation-friendly environment are also crucial. Implementing these recommendations will propel Saudi Arabia's digital transformation, ensuring privacy, improving user experience, reducing the digital divide, fostering collaboration, enhancing digital skills, and embracing innovation. These efforts will position the country as a leader in the global digital economy.
The Future of Machine Learning: Supervised, Unsupervised and Reinforcement Learning Chakraborty, Anirban
International Journal on Orange Technologies Vol. 5 No. 5 (2023): International Journal on Orange Technologies
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i5.4447

Abstract

The Machine Learning is a data analysis technique that automates the development of analytic models. It is an important field of study based on the premise that machine data can be studied and that trends and judgments can be made with little human input. On the basis of fresh discoveries, machine learning algorithms may be constructed from provided data.
The Impact of the Najiz System on the Services Provided by the Ministry of Justice in Saudi Arabia Mr. Azzam Naif Almutairi; Prof. Fahad T. Bin Muhaya
International Journal on Orange Technologies Vol. 5 No. 5 (2023): International Journal on Orange Technologies
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i5.4448

Abstract

This research paper aimed to evaluate the effectiveness of the Najiz system, an electronic platform designed to facilitate the processing of legal cases and property Transfers and identify areas for improvement in the Saudi judicial system. The study aimed to provide insights into the impact of digital transformation on the Ministry of Justice and the effectiveness of the Najiz system in delivering equitable justice promptly to Saudi nationals. The study employed a mixed-methods research approach that utilized both qualitative and quantitative research methods. The survey questionnaire used in the study collected data from a diverse range of respondents, including lawyers, judges, and citizens with experience using the Najiz system. the study identified several areas of improvement for the Najiz system, including expanding cloud computing technology, improving user skills, and continuously evaluating and improving the system by seeking feedback from users. The study's recommendations have significant implications for the digitization of the Saudi judicial system and the government's commitment to achieving equitable justice delivered promptly to all Saudi nationals. Overall, this research paper provides valuable insights into the effectiveness of the Najiz system and the potential of digital transformation in delivering equitable justice promptly to Saudi nationals. The study's findings and recommendations provide a basis for future research and contribute to ongoing efforts to enhance the effectiveness of the Saudi judicial system.
Peculiarities of the Methodology of Accelerated Learning of English Ismatovna, Daminova Gulabza
International Journal on Orange Technologies Vol. 5 No. 6 (2023): International Journal on Orange Technologies
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i6.4497

Abstract

Accelerated English Language Learning provides a comprehensive overview of strategies and approaches that can help students effectively master English in the shortest time possible. It begins with an introduction to the importance of setting goals and developing a learning plan.

Page 72 of 84 | Total Record : 831

 70   71   72   73   74 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Vol. 7 No. 3 (2025): International Journal on Orange Technologies (IJOT) Vol. 7 No. 2 (2025): International Journal on Orange Technologies (IJOT) Vol. 7 No. 1 (2025): International Journal on Orange Technologies (IJOT) Vol. 6 No. 3 (2024): International Journal on Orange Technologies (IJOT) Vol. 6 No. 2 (2024): International Journal on Orange Technologies (IJOT) Vol. 6 No. 1 (2024): International Journal on Orange Technologies (IJOT) Vol. 5 No. 12 (2023): International Journal on Orange Technologies (IJOT) Vol. 5 No. 10 (2023): International Journal on Orange Technologies (IJOT) Vol. 5 No. 9 (2023): International Journal on Orange Technologies (IJOT) Vol. 5 No. 8 (2023): International Journal on Orange Technologies Vol. 5 No. 7 (2023): International Journal on Orange Technologies Vol. 5 No. 6 (2023): International Journal on Orange Technologies Vol. 5 No. 5 (2023): International Journal on Orange Technologies Vol. 5 No. 4 (2023): International Journal on Orange Technologies Vol. 5 No. 3 (2023): International Journal on Orange Technologies Vol. 5 No. 2 (2023): International Journal on Orange Technologies Vol. 5 No. 1 (2023): International Journal on Orange Technologies Vol. 4 No. 12 (2022): IJOT Vol. 4 No. 11 (2022): IJOT Vol. 4 No. 10 (2022): IJOT Vol. 4 No. 9 (2022): IJOT Vol. 4 No. 8 (2022): IJOT Vol. 4 No. 7 (2022): IJOT Vol. 4 No. 6 (2022): IJOT Vol. 4 No. 5 (2022): IJOT Vol. 4 No. 4 (2022): IJOT Vol. 4 No. 3 (2022): IJOT Vol. 4 No. 2 (2022): IJOT Vol. 4 No. 1 (2022): IJOT Vol. 3 No. 12 (2021): IJOT Vol. 3 No. 11 (2021): IJOT Vol. 3 No. 10 (2021): IJOT Vol. 3 No. 9 (2021): IJOT Vol. 3 No. 8 (2021): IJOT Vol. 3 No. 7 (2021): IJOT Vol. 3 No. 6 (2021): IJOT Vol. 3 No. 5 (2021): IJOT Vol. 3 No. 4 (2021): IJOT Vol. 3 No. 3 (2021): IJOT Vol. 3 No. 2 (2021): IJOT Vol. 3 No. 1 (2021): IJOT Vol. 2 No. 12 (2020): December Vol. 2 No. 11 (2020): November Vol. 2 No. 10 (2020): October Vol. 2 No. 9 (2020): September Vol. 2 No. 8 (2020): August Vol. 2 No. 7 (2020): July Vol. 2 No. 6 (2020): June Vol. 2 No. 5 (2020): May Vol. 2 No. 1 (2020): January Vol. 1 No. 12 (2019): December Vol. 1 No. 9 (2019): September Vol. 1 No. 2 (2019): IJOT Vol. 1 No. 1 (2019): IJOT More Issue