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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 7 Documents
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Search results for , issue "Vol. 1 No. 2 (2019): IJOT" : 7 Documents clear
Mathematical Modeling of the Interaction between Langerhans Cells and the Spread of HIV Infection Lencha Tamiru Abdisa
International Journal on Orange Technologies Vol. 1 No. 2 (2019): IJOT
Publisher : Research Parks Publishing LLC

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Abstract

In this research work, we propose a system of nonlinear ordinary differential equation used to model the interaction between Langerhans cells and HIV infection. The model consists of five compartments, namely, susceptible Langerhans cells, infected Langerhans cells, susceptible T-cells, infected T-cells and free HIV particles. The biology of interactions of Langerhans cells with HIV and mathematical preliminaries which plays a crucial role in our entire research work was described. By presenting a theoretical framework related to the infection mechanism, a biologically meaning full assumption was considered. Furthermore, the positivity of the model solution, the equilibrium point (both virus free and endemic equilibrium) of the model was shown and its stability was investigated. Finally, by using a numerical simulation the developed model was studied and the results concluded that the numerical simulation matches the analytical solution as expected.
Cartographic Map Abstraction Using R Programming (Literacy Rate, HDI and Poverty Data Interpolation of Nepal) Yagyanath Rimal; Sakuntala Pageni
International Journal on Orange Technologies Vol. 1 No. 2 (2019): IJOT
Publisher : Research Parks Publishing LLC

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Abstract

R programming with map data interaction is another research area for data scientists due to high data publication in modern electronic records web applications at the federal administrative structure of Nepal. However the analysis of map and its presentation on web with interactively with data interperation has not much concern with data scientist while website design around the world. The data like central, province, local administrative government bodies many times published data for civil concerned. The dynamic records presentation with local boundaries map having interactive facilities has a new concept using r programming. Here the researcher could easily have developed the local administrative map using GIS shapefile then local level records generally gathered and stored in ms excel will automatically be integrated with this template easily so that local administrative agencies will easily update web site using r programming i.e rpubs. Which discards the registration domain, and knowledge of web application design intelligent site. The best application of this type of data interactive map with data interoperation would be highly applicable to local governance of Nepal where there was a large type of data and records that were developed in sequential order for public concern. The interactive VDC, district, province data commonly highlights data like, education rates and HDI information of any location that could easily be published. The developed model is available (http://rpubs.com/yagyarimal/556607) with interactive website pages quickly utilizing the intelligent markdown with a flash dashboard design template structure.
Naïve Bayes Machine Learning Classification with R Programming: A case study of binary data sets Yagyanath Rimal
International Journal on Orange Technologies Vol. 1 No. 2 (2019): IJOT
Publisher : Research Parks Publishing LLC

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Abstract

This analytical review paper clearly explains Naïve Bayes machine learning techniques for simple probabilistic classification based on bayes theorem with the assumption of independence between the characteristics using r programming. Although there is large gap between which algorithm is suitable for data analysis when there was large categorical variable to be predict the value in research data. The model is trained in the training data set to make predictions on the test data sets for the implementation of the Naïve Bayes classification. The uniqueness of the technique is that gets new information and tries to make a better forecast by considering the new evidence when the input variable is of largely categorical in nature that is quite similar to how our human mind works while selecting proper judgement from various alternative of choices and can be applied in the neuronal network of the human brain does using r programming. Here researcher takes binary.csv data sets of 400 observations of 4 dependent attributes of educational data sets. Admit is dependent variable of gre, score gpa and rank of previous grade which ultimately determine whether student will be admitted or not for next program. Initially the gra and gpa variables has 0.36 percent significant in the association with rank categorical variable. The box plot and density plot demonstrate the data overlap between admitted and not admitted data sets. The naïve Bayes classification model classify the large data with 0.68 percent for not admitted where as 0.31 percent were admitted. The confusion matrix, and the prediction were calculated with 0.68 percent accuracy when 95 percent confidence interval. Similarly, the training accuracy is increased from 29 percent to 32 percent when naïve Bayes algorithm method as use kernel is equal to TRUE that ultimately decrease misclassification errors in the binary data sets.
Lovebirds type identification designing based on color using automaton theory Sumarno Sumarno; Danang Tri Prasetiyo
International Journal on Orange Technologies Vol. 1 No. 2 (2019): IJOT
Publisher : Research Parks Publishing LLC

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Abstract

Lovebirds are a unique and legendary bird species that can attract most bird lovers in Indonesia. The colors and types are also varied, ranging from valves, non-valves, colorful feathers starting from the lungs, eyes, chest, tail wings, and so forth. In addition to a variety of colors, the birds singing is also another attraction for bird lovers. But for the general public as well as beginner Lovebirds hobbyists, it is difficult to know the type of each Lovebirds they meet or have. This is due to the lack of knowledge they have about Lovebirds, so we need a system that can help them in solving problems to find out the name of the species on a specific basis. Expert systems are computer programs that simulate the reasoning of an expert with expertise in a particular area of ​​knowledge. Expert systems work based on theory, rules, and knowledge base. The theory is the necessary foundation in making an expert system as a substitute for an expert's logic mindset. Automaton theory of intelligent abstract modeling recognition machine is one theory that can work on a system to resolve uncertainty according to predetermined rules, especially reading the input of words or context-free language, and then can conclude whether the writing is following the state of the regulation set in the programming language. The results of this study resulted in an expert system application to identify Lovebirds based on the color of feathers found in the body of the lovebird using finite-state Automata.
Clothes Market in Uzbekistan: Competitive Environment, Development Askarova Mavluda Turapovna
International Journal on Orange Technologies Vol. 1 No. 2 (2019): IJOT
Publisher : Research Parks Publishing LLC

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Abstract

The article explores the status and development of the apparel market in Uzbekistan, and changes in itsstructure based on marketing research and evaluates the impact of changes in the retail segment of the apparel market, the composition of the consumer market of garments, and the changes in consumer segment. Changes in consumption by squeezing a range of competing countries from the domestic market are studied on the basis of the panel research method, and the matrixof factors that influence its formation and the shape of the wardrobe.
Automation Process in Emerging World and its importance Ragavendra. K
International Journal on Orange Technologies Vol. 1 No. 2 (2019): IJOT
Publisher : Research Parks Publishing LLC

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The report is based on the automation process in the emerging world. As the world is growing towards the automation process, all these industries are utilizing the benefits of automation in the working process. With the help of a new automation technique, the working procedures are performing very fast and effectively. To use automation we just need a computer or a system. Some artificial software tools are there that need to be installed in the computers so the machine can perform the task. It gives us the benefit of fast operations. So automation and digital technology also be a blessing for total countries as they could conduct to receive in productivity which is finally the driver of improvement
BEST FROM WASTE Bhaikatti S.A; Dongaritot P.S; Rodagi C.M; Thamb K.M; Hilli S.S.; Patil A.A
International Journal on Orange Technologies Vol. 1 No. 2 (2019): IJOT
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v1i2.1162

Abstract

In our country, India, worshiping is the way of living and people offer various offerings to the deities which mainly consist of flowers, leaves, fruits, coconuts, clothes. out of which floral offerings are found in huge quantity. Thus, temple waste has a unique share of flower waste in the total waste. After fulfilling their purpose, flowers along with other waste, find their way into the garbage or are discarded either into some water bodies or left up on the open places as a waste causing various environmental problems. The majorly offered flowers in temples are rose, jasmine, marigold, chrysanthemum, hyacinth, hibiscus, etc. This floral waste can be utilized in different ways to produce valuable products and can thus help to save environment from pollution caused due to improper disposal of flower waste. Techniques like vermicomposting, composting, dyes extraction, extraction of essential oils, making of holy colors and bio-gas generation can be used. Moreover, this flower waste can also be used for making incense sticks besides using them for some art and craft techniques. Petals of different flowers can also be utilized for handmade papermaking by extracting the pulp or by mottling them into the readymade pulp. In this paper, we have reviewed the ways by which temple waste can be utilized and managed to get valuable products which will lead to a healthier and waste free environment

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