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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
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Directions for Improving Service Efficiency in Telecommunication Enterprises Sadikmuratovich, Ibadullaev Sanjar
International Journal on Orange Technologies Vol. 5 No. 8 (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.v5i8.4680

Abstract

In order to understand the role of services provided by telecommunications operators, to determine the presence of innovative technologies and to identify problems that arise among subscribers, we conducted an anonymous sociological survey among the population, as well as to measure several We have developed a system of indicators. The results of a sociological survey prove once again that innovation and new technologies ensure customer loyalty. It can be concluded from the answers that the reforms carried out in different years: expansion of the network, import of new technologies and their introduction serve to form loyal customers. The only way to be competitive is to import innovative equipment, especially to provide new services by offering internet services at affordable prices to increase customer loyalty.
Automatic Field Monitoring and Detection of Plant Diseases Using IoT Akila Begum H; Yasmin A; T. Ashmi
International Journal on Orange Technologies Vol. 5 No. 8 (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.v5i8.4691

Abstract

This research presents a GSM-based system for automatic plant disease diagnosis and describes its use in the creation of ACPS. Traditional farming methods were largely ineffective against microbial diseases. In addition, farmers can't keep up with the ever-changing nature of infections, so a reliable disease forecasting system is essential. To circumvent this, we employ a Convolutional Neural Network (CNN) model that has been trained to examine the crop image recorded by a health maintenance system. The solar sensor node is in charge of taking pictures, sensing continuously, and automating smartly. An agricultural robot is sometimes known as an agribot or agbot. An autonomous robot with agricultural applications. It helps the farmer improve crop productivity while decreasing the need for manual labour. In the future, these agricultural robots could replace human labour in a variety of farming tasks, including tilling, planting, and harvesting. These agricultural robots will manage pests and diseases as well as perform tasks like weeding. In order to keep an eye on the crops and streamline the irrigation process, this system is equipped with disease prediction technology for plants and intelligent irrigation controls. The energy required to provide disease prediction and irrigation systems separately is reduced by combining them in this project.
The Main Tasks of Developing the Professional Competence of Future Technical Specialists on the Basis of Multimedia Tools Norinov Muxammad Yunus Usibjonovich
International Journal on Orange Technologies Vol. 5 No. 8 (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.v5i8.4714

Abstract

In this article, the assessment of professional competence is based on the essence and characteristics of professional formation. The pedagogue's cognitive activity is largely determined by the complexity, dynamics, non-standardity of the things being studied, the influence of boundaries separating social phenomena, their search, uncertainty, which implies observation, the skill of modeling the inner world of the interlocutor. is considered as competence for a certain profession.
Machine Learning in Drug Discovery: A Comprehensive Analysis of Applications, Challenges, and Future Directions Kunduru, Arjun Reddy
International Journal on Orange Technologies Vol. 5 No. 8 (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.v5i8.4725

Abstract

Machine learning has revolutionized drug discovery by speeding up the process and improving therapeutic interventions, transforming the pharmaceutical research and development landscape. The paper embarks on a meticulous journey, delving into the intricate fabric of machine learning's integration into drug discovery. It deftly navigates through the virtual corridors of compound screening and virtual screening, where machine learning algorithms intricately assess massive chemical libraries, substantially hastening the identification of potential drug candidates. The analysis extends to encompass quantitative structure-activity relationship (QSAR) modeling, predictive ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling, de novo drug design, and target identification and validation, meticulously unraveling the pivotal role machine learning plays in each facet. Yet this transformative union does not come without its share of challenges. The paper uncovers the nuances of data quality and quantity, grapples with the intricacies of interpretability, and addresses the critical need to harmonize domain knowledge with data-driven methodologies. It illuminates the hurdles of transferability and generalization, coupled with the ethical and regulatory considerations that loom large over this cutting-edge convergence. Furthermore, this paper casts an anticipatory glance toward the future horizons of this symbiotic relationship between machine learning and drug discovery. It envisions a time when there will be explainable AI, multi-modal data integration, reinforcement learning for compound optimization, collaborative AI platforms, and strong ethical and regulatory frameworks. By synthesizing insights gleaned from a systematic review of existing literature, this paper aims to spotlight the profound metamorphosis that machine learning has ushered into the realm of drug discovery, underscoring its pivotal role in revolutionizing, and reshaping the contours of pharmaceutical research.
From Data Entry to Intelligence: Artificial Intelligence's Impact on Financial System Workflows Arjun Reddy Kunduru
International Journal on Orange Technologies Vol. 5 No. 8 (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.v5i8.4727

Abstract

Invoice processing and payment activities are crucial financial operations for businesses. Traditionally, these tasks involved manual data entry and validation, which is time-consuming and prone to errors. With recent advances in artificial intelligence (AI), intelligent systems can automate and streamline invoice and payment processing, leading to higher efficiency and cost savings. This paper explores the applications of AI in financial document processing, data extraction, verification, reconciliation, and payment execution. The capabilities of AI methods, including computer vision, natural language processing, and machine learning, are analyzed in the context of digitizing financial workflows. Challenges such as the lack of standardized data, the need for integration with legacy systems, and data security considerations are also discussed. The paper concludes that AI-based tools can enable intelligent invoice management, smart approvals, and automated payment processing to transform financial operations.
Results of Cleaning Oil Smoke Gases from Atmospheric Air Hurmamatov A. M.; Boyto’rayev S. B.
International Journal on Orange Technologies Vol. 5 No. 8 (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.v5i8.4731

Abstract

The article considers the parameters that change as a result of the volume consumption of the proposed new device. As a result of changing the volume flow, the volume of the absorbent, the volume of absorbed gas, and the change in the mass of inert gas in the purified gas were analyzed. In this case, the effects of mutual forces between the phases in the absorption device were analyzed. An absorption process was used to effectively purify oils.
PREPARATION OF FINANCIAL STATEMENTS FOR BUSINESS SUBJECTS Nurmatov Zuhriddin Shavkat ugli; Masharipov Ozod Alimovich
International Journal on Orange Technologies Vol. 5 No. 9 (2023): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i9.4762

Abstract

Accounting account international Standards 27 The purpose of the standard is to establish accounting and disclosure requirements for investments in subsidiaries, joint ventures and subsidiaries when an entity prepares separate financial statements. This Standard applies to accounting for investments in affiliates, joint ventures, and subsidiaries when an entity elects to present separate financial statements, or is required by national regulations to provide such reports.
Theoretical Analysis of the Vibrations of the Louvered Surface When Cleaning Cotton from Small Impurities A. N. Dusmatov; O. Sh. Sarimsakov
International Journal on Orange Technologies Vol. 5 No. 9 (2023): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i9.4779

Abstract

In order to increase the cleaning efficiency of the machine in the equipment for cleaning seeded cotton from small impurities, a blind surface is proposed instead of a mesh surface. When choosing the technological parameters of cleaning cotton from small impurities, the main control developments and calculation processes were considered.
Examination of Flammable and Heat Protective Polymer Composite Coatings Using Oxygen Index Determination DSc K. M. Murtazaev; H.G. Azimov
International Journal on Orange Technologies Vol. 5 No. 9 (2023): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i9.4780

Abstract

This article discusses the effect of fire-retardant expanded polymer coatings based on an acrylic copolymer on the oxygen index of polymer binders, flame retardants, gas-forming expanded-active chemical additives and fillers in a ratio of 5-42% at a temperature of 200-300 0C.
Managing the Risks of Content Management Systems Adoption (Filenet): A Guide to Risk Analysis and Mitigation David Lee; Ravikiran Kandepu
International Journal on Orange Technologies Vol. 5 No. 9 (2023): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v5i9.4785

Abstract

Content management systems (CMS) have become a vital technology for organizations to create, manage, and publish digital content through intuitive web interfaces. However, adopting CMS also introduces considerable technological and organizational risks stemming from the integration and workflow changes needed to leverage these platforms. Without identifying and mitigating these risks, CMS initiatives frequently run into major issues around security, costs, user adoption, fragmented workflows, and an overall lack of value realization. This paper provides a comprehensive survey of the most common risks arising during CMS implementation and proven mitigation strategies. The analysis examines risk areas across security, integration complexity, budget overruns, process disruption, inconsistent governance, and user resistance. For each area, prevalent risks are outlined along with industry best practices, frameworks, and guidelines to avoid or minimize potential pitfalls. A structured risk analysis approach is presented, covering how organizations can proactively identify, evaluate, and treat risks throughout the CMS implementation lifecycle. Once risks are visible, mitigation actions can be prioritized and tailored to the organization's needs. Ongoing risk assessment is essential even after launch as new issues emerge. Overarching best practices for managing CMS risks are highlighted based on industry evidence and risk management methodologies. These include establishing clear and realistic requirements, following secure software development lifecycles for customizations, phasing rollouts to simplify integration, budgeting for total cost of ownership, allowing time for user adoption, instituting adaptable governance, maintaining training reinforcement, and continuously monitoring and communicating risks. With holistic risk analysis combined with structured change management, organizations can more confidently embark on CMS initiatives. Potential pitfalls are uncovered early and mitigated through cross-functional collaboration and oversight. Rather than being derailed by foreseeable risks, organizations can tap the full potential of CMS to improve content workflows, automation, and digital capabilities while avoiding major disruptions across people, processes, and technologies. The survey highlights how multifaceted risk management practices enable successful CMS implementation that realizes measurable benefits and impact.

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