Dr. Charyna earned her Bachelor degree from Universitas Islam Indonesia, Yogyakarta. She continued her study directly to get her M.A. and Ph.D from Department of Psychology and Human Development, Universiti Kebangsaan Malaysia. She is now working as a Senior Lecturer in Faculty of Psychology Universitas Pancasila, Jakarta, Indonesia where she has been working-since 2011. In addition to providing a high quality educational experience for students, she has been held a responsibility for Vice of Quality Assurance, Head of Developmental and Clinical Psychology Center Studies, and Vice Dean for Academic, and last Students Affairs, and Alumni for 4 years.
Dr. Charyna is very keen on doing research wich focuses on Empathy and how it plays role in some issues such as cyberbullying behavior, moral values, and other personality problems. She had presented her research in international/national conferences (such as The International Academic Forum – Tokyo, Conference on Humanities, Social Science, & Business Studies – Seoul, Asian Psychological Association Convention – Malang, etc). Her article had been published in national accredited psychology journal, such as Journal of Family and Consumer Sciences, Journal of Psympathic, Journal of Konseli, etc, and international, such as International Research Journal of Human Resources and Social Sciences, Electronic Journal of Research in Educational Psychology (publish on this September), etc. Also, she has been named one of the Reviewers for the National Accredited Journal of Psychology in Universitas Gunadarma, Jakarta.
Therefore, her research findings brings her to be speaker such as program of Jakarta Children-Friendly City and regularly share her knowledge through radio broadcast. Recently, Dr. Charyna has awarded grant of Digital Innovation Module from Minister of Education and Culture (2021) in regards to empathy in social media. She has also written a number of book chapters, and the latest one was about Empathy in the Covid-19 pandemic and published in National Book Chapter of Developmental Psychology (pandemic Covid-19 Ed). Now, she is currently finishing her book, Empathy in Human Developmental Psychology perspective.
Dear ladies and gentlemen,
Today we stand at an unprecedented time in the history of technology. There was never a better time for one to be involved in technology. And yet we are just pioneers staring out the wild west, surveying oceans of mystery and potentially endless possibilities. It is these steps that we shall take individually and together as a community that will set the course of history and create a new map for future researchers. But our map must be not just a direction but also a foundation for the future where truth and human brotherhood will survive and prosper. As much as technology may come to dominate the world in so many ways we must still retain our humanity in all its clear distinction. It is with these words that I would like to welcome each and every to contribute in an open and respectful way to build our communal knowledge.
Riding on the success of its past conference over several unique themes and critical acclaim, I am immensely ecstatic to know that Institute for Engineering Research and Publications (IFERP) is organizing an International Conference on Innovative Research in Engineering and Technology (ICIRET) during 29-30 September, 2021 virtually.
I believe that ICIRET’2021 will provide a unique platform to researchers, academicians, industry experts, young professionals and scholars to widen their knowledge domain, explore and exchange new ideas, provide different insights and deliberate on various significant topics of today’s competitive world developments, research challenges and unsolved open problems in the field of Engineering and Technology. The conference is covering important and significant areas including Robotics, Mechatronic Systems and Applications, Human-Robot Interfaces, Aeronautical Engineering, Power Plant Engineering, Biomechanical Engineering, Aerospace Engineering, Medical Robots and Systems, Marine Engineering, Energy-Aware Computing, Managing Big Data, Nanotechnology, Information Retrieval Techniques, Robotic Surgery, Human Genome Mapping, Reconfigurable Computing, Data Visualization Techniques, Bio-Inspired Computing, Cloud Computing, Bio Informatics, Animation and Artificial Intelligence and Blockchain Technology.
Conference is also hoping to bringing together the renowned experts from the core field and other allied areas to forge linkages and bonds for mutual research benefits.
I congratulate Organising team for their remarkable efforts for organising such Conference during this pandemic time in online mode. It is only through such dedication and perseverance that one can achieve excellence.
I take this excellent opportunity to express my heartiest greetings and best wishes to the organizers and also to delegates, speakers and researchers from all over the world and wish them a great learning experience.
Wishing ICIRET’2021 a grand success!
Dr. Nirzar Kulkarni is the associate Director and Professor from Dr. Ambedkar Institute of Management Studies & Research, Deekshaboomi, Off VIP Road, Nagpur – 440010, NAAC Accredited “A” Grade &; NBA Accredited Institute. He is doctorate in Business Management, an engineering graduate with MBA, MCM, and PGDCCA. He has also cleared SET exam. He is having a teaching experience of more than 24 years as full time university approved faculty.
He is a recognized Ph. D. Supervisor in Business Management & Administration. He is having a Fourteen researchers awarded Doctorate under supervision till date. He has worked as Ph.D. evaluator & referee, Ex Member, RRC, Management Board, Gondwana University, Gadchiroli. He is Member, RRC, Computer Management Board, S. F. Pune University, Pune. He has Seven research papers presented in National Conferences., Thirty one research paper published in International Journals with ISSN no., Twelve research papers published in International Conferences with ISBN no., Three research papers published in SCOPUS listed Journals. His Google Citation Index- 18 & H Index - 2 (Sept 2020). He is Advisory committee member for international journal (ISSN 2319-2429). He is Member, Editorial board of International journal & worked as reviewer. He has filled a Patent filed titled “An automated system for integrated hospital inventory & workforce management and method thereof” Publication ID- 202021026249, dated: 17-07-2020 and he has Two Copyrights registered on his name.
Ashwin Perti is Working as an Assistant Professor in Department of Computer Science, Ghaziabad (Uttar Pradesh). Completed M. Tech. in Computer Science and Engineering in Mobile Ad-Hoc Network. I had a total working experience of 19 Years.
Pursuing my Ph.D. From Dr. APJ AKTU, Lucknow, (Uttar Pradesh) in the field of Sentiment Analysis and Community Detection using Deep Learning.
Area of expertise include Machine learning, Deep Learning, NLP, Soft Computing.
I have published 2 Patents and many research papers in International Conferences related to Security and Deep Learning. Done FDP and seminar on Big Data Analytics using Hadoop.
Dr.Lokesh C is an Associate Professor in the Department of Electrical and Electronics Engineering, Vidyavardhaka College of Engineering, Mysuru, India. He received Ph.D in the stream of Electrical and Electronics Engineering Science from Visvehvarayya Technological University (VTU), Belagavi, India. His research area includes Low Power Analysis in Digital Communication System, Analog circuits, Digital Circuits.
Deeparati Basu is currently a Senior Research Fellow (SRF) in the Department of Physics, Jadavpur University, Kolkata. She received her B.Sc. and M.Sc. degree in Electronics from University of Calcutta and Jadavpur University respectively. She was the recipient of university gold medal in her masters and afterwards awarded DST INSPIRE fellowship by Govt. of India for pursuing her doctoral research.
Multi-parametric sensors are preferred over single parameter sensor due to their increased efficiency, accuracy and precision measurements. In optical biosensing field, though there is large number of highly sensitive instruments available, most of them are extremely costly and provides single parameter detection only. So in this work, we have designed a simple optical breadboard based assembly with laser source and camera connected to PC, which provides a study of four different optical parameters (transmission, reflection, scattering and absorption) simultaneously. We have performed noise level analysis of different type of laser sources and cameras for achieving minimum limit of detection (LOD) for the biosensor system. A MATLAB based GUI platform has been designed for interfacing purpose and image processing is done on the picture data collected by the camera to achieve highly sensitive results. Chitosan-Silica nanocomposite (CSNC) membranes were used as semitransparent biosensing platform for glucose detection and optimization of our instrument performance.
Ms. Urvi Rathod has completed her M.E. in Civil (Town and Country Planning) from Gujarat Technological University and pursuing Ph. D from Uka Tarsadia University since 2019. Presently she is working as an Assistant Professor in Civil Engineering Department, Chhotubhai Gopalbhai Patel Institute of Technology, Uka Tarsadia University..
Abstract The Urbanization is increasing all around the world especially in developing country like India. It is an unavoidable outcome of economic development, refers to the shift from a rural area to urban area which cause serious pressure of traffic congestion, pollution and other related problems. Dispersion of urban land use over large areas leads to traffic congestion, poor air quality and finally urban decay problems. More than half of the world’s population now lives in urban area and is predicted up to 60% of global population by 2030. Many developing countries are suffering severe traffic congestion due to its rapid urbanization and booming of motorization which put high pressure on urban transport systems. Urbanization has a major impact on land use characteristics. Travel behaviors in any city mainly relay on its land use distribution and transport planning. This study indicates that the integration of land use with transportation planning reduces the use of motorization transportation and promotes the use of public transport. The paper mainly focuses on the traffic problem and how the transportation planning depends upon the land use distribution and transportation network in developing cities.
Monsiri Balsook works as a senior engineer of ESD & Environmental control. She received a Bachelor of Electrical Engineering degree from Chiangmai University, Thailand. and earned an M.S. degree in Finance from CMU Business School. She is interested in innovation and technology management.
In recent years, temperature and humidity monitoring in the microelectronic manufacturing industry grows increasingly significant in product quality. The Internet of Things (IoT) is the new challenge for moving from a traditional to a digital platform. This project begins with a collaboration between industry and university. It aims to improve the IoT temperature and humidity relative control system in a manufacturing cleanroom by connecting a factory’s ancient model temperature and humidity recorder with a Raspberry Pi. This program transmits data to a MongoDB server-internal web service, displays it on a website, and uses the Line application to send an automated email when not meet the specification. Real-time notification is sent to the relevant team to resolve the issue. It’s such a challenge project management. In conclusion, this project can aid in increasing productivity and efficiency way. Furthermore, a reliable temperature and humidity environmental control system ensure that product quality is maintained.
Amenah Hasan Flaih Al – Obaidi have a Master degree in Information Technology, her specialist in Data Mining from the South Ural State University, Russia, 2018.
Also, she had a Higher Diploma degree in a computer engineer from the Technical University of Electronic and Electrics engineering in Baghdad, Iraq, 2012. In addition to a Bachelor degree In the same field of the Higher Diploma degree, Baghdad, Iraq, 2006. Currently, she works as a Senior Lecturer in University of Thi-Qar / Nassiriyah / Iraq.
In this research, experimental methodology has been conducted to analyzing a large set of undergraduate course evaluations from an Engineering faculty. We have shown how useful the application of data mining techniques in course management systems, although we have shown these techniques separately, they can also be applied together in order to obtain interesting information in a more efficient and faster way. Approximately 19 semesters has been assessment at a rate of 400 students divided by the four grades taught by 26 instructors by answering the obligatory questions. The data has been collected from these responses and transformed it into appropriate forms for mining. After that, built classification model, extract association rules and clustering the courses and students by using knime program.
Ebrahim Hamid Sumiea awarded with Bachelor Degree in Software Engineering from Asia Pacific University (APU) 2014. Since, 2014 to 2018, he assigned with 2 jobs title; Software Engineering Associate and Warehouse Operations Manager in Ministry of Electricity and Energy - YEMEN. Currently, he is pursuing Master of Business Administration (specialization in Engineering Management). My research interest includes technology and technology management.
For effective staff's performance using online meetings applications during covid-19, it is mandatory that staff have the behavioral intention to measure, test, and manage their own data. Understanding of Public Higher Education Institution (PHEI) staff’ intention and behavior toward online meetings platforms is needed to develop and implement effective and efficient strategies. The objectives of this research to identify the factors that affect staff to use online meetings applications, to develop a model that examining the factors that affect PHEI staff to online meetings applications and to validate the proposed model.
This study used a cross-sectional quantitative correlational study with using UTAUT2 model by validating the model and mediating variables to enhance the model’s explanatory power and to make it more applicable to PHEI staff’ behavioral intention.
The data was collected from employees at the PHEI in east coast Malaysia, with 108 people responding to the survey. The completed questionnaire survey was sent to the selected respondents through social media, and the WhatsApp application. The data was then analyzed using SmartPLS software (PLS-SEM) version 3.0 to corroborate the hypotheses that had been developed previously.
Findings show that there are significant impacts between 5 factors, namely Behavioural Intention (BI), Effort Expectancy (EE), Facilitating Conditions (FC), Habit (HT) and use Behaviour, which are influence the acceptance and usage of online meeting platforms using by PHEI staff. The usage and adoption of online meeting platforms by PHEI staff was found to be more influenced by habit in this research. This suggests that the need to use such applications will become more addictive in the future.
Mrs.Rekha P S obtained B.E.(E&EE) from Mangalore University and M.Tech. from VTU, Karnataka, 2010. She is pursuing her Research currently on Power Electronics and Drives under the guidance of Dr. Vijayakumar, Professor, Department ECE, SJBIT, Bangalore. She has published many research articles in reputed journals and presented papers in National and International conferences.
Switched reluctance motor torque ripple is more complex by the influence of many factors. It is predominantly included; doubly salient construction of the motor body; spreading with extreme non linearity; nonlinear impacts of mechanical parameters lead to incessant working of SRM. The main deficit of SRM is torque ripple which then upsurge acoustic noise due to its non-linearity comportment. To attenuate the torque ripple and the noise associated with it many tumbling techniques has been offered with results. From the outcomes it has been clinched that there are numerous controllers that gives the least torque ripple when it is used in Switched reluctance motor drive.
Mr. Prashant Y. Itankar is pursuing Ph.D. He has 20 years of teaching experience. He is good in various subjects such as Computer Graphics, Discrete Structure, System Security, Data Mining and Project Managements. He has published 10 papers in international journal, 3 international conferences, 2 in national conferences.
Word Sense Disambiguation (WSD) is an open issue in the space of Natural language preparing. Numerous WSD systems uses data based independent philosophy as it reveals us from using marked corpus. Yet, this strategy depends comprehensively upon data. Working on the data for vulnerability objective is one of the huge issues in WSD. Yet Multilingual lexical resource is an asset for data based systems (KBS), various KBS have not yield great results due to nonattendance of satisfactory information needed for disambiguation. Multilingual information can help with boosting the display of WSD in various dialects. Joining lexical semantic information from different vernaculars further creates WSD task. We utilize Babel Net, a gigantic multilingual resource provider to achieve the task and plan a semantic word cloud to give world class disambiguation by driving additional data
My name is Gaurav Agrawal, a student pursuing his Bachelors of Technology (BTech) in Chemical Engineering from Manipal Institute of Technology, Manipal, Karnataka, India. My research interests lie in drug delivery systems and renewable energy. I am also an avid reader and enjoy listening to music in my free time
Electrospun nanofibers have drawn a lot of attention lately to researchers across various fields of study. Their excellent and desirable properties such as high specific surface area, tunable porosity, timely and sustained drug release have put them into consideration as a potential system for drug delivery. Nonsteroidal anti-inflammatory drugs (shortened as NSAIDs) are one of the most popular pain relief medicines in the world which are used to cure headaches, sprains, swellings, fever, and a few symptoms of arthritis. However, the major downside of using these NSAIDs is that they can cause severe side effects or discomfort in the patients. Studies regarding NSAIDs’ delivery using electrospun nanofibers are found to allow site-specificity and requires a lower overall drug dosage, thus curbing the extent of the side effects caused. This review aims to analyze the current research on the promising and innovative application of NSAIDs loaded nanofibers as a drug delivery system.
Praveen C K is a 3D Character Animation expert. He has completed his Masters in Multimedia and Animation in Punjab Technical University, Punjab, India. His area of specialization is Character Animation. He has 1.5 years of work experience in India as 3D Character animator. He extended his career as academician in Lovely Professional University, Punjab, India and later joined in Vellore Institute of Technology as Assistant Professor (Jr), Vellore, India.
The animation-based lectures have been employed in recent decades to enhance the learning ability and cognitive load of students across age groups from pre-school to university. This study aims to bring out the recent advances in this field and it also evaluates the influence of the parameters such as students’ prerequisites, their learning processes, outcomes and environment on their learning ability and cognitive load. Further, this work also discusses and analyses the implementation of animation-based lectures, and the pedagogy used for communication. The review results showed the impact of animation-based lectures on improving the students’ academic performance, subsequently enhancing the education standard, thereby enabling a consistent curriculum delivery. Finally, this investigation explores the limitations and open challenges in the implementation of animation-based lectures, in addition it also reports the future recommendations and potentials for instructional animation.
I am Mrs.kalpana Deepak vidhate. I completed my M.E. in Control Systems from PES Modern COE, Pune in savitribai phule pune university ,pune with (6.83 CGPA) in 2012, I am working as assistant professor in electrical engineering department at Dr. vithalrao vikhe patil college of engineering, Ahmednagar, Marashatra since 2008. I have a Membership of Institution of Engineers, India. I have been received Research Grant of Rs. 2 lacs by BCUD, savitribai phule pune University under (QIP) Quality Improvement Programme for the research project entitled “PLC Based Poka-Yoke System for Output Shaft Assembly”. I have received ‘Lady Engineer Award’ form Institution of Engineers, India ahmednagar local center I have attended various Workshops/Seminars/ FDP organized by pune university. I have attended and paper presented at various national Conferences. I have organized various Workshops/Seminars/ events in the department. I have conducted guest lectures at various colleges in ahmednagar on different topics electrical technology, PLC and SCADA, Computer programming, numerical methods . I have Taught Subject for UG Course such as material science , electrical technology, instrumentation engineering , numerical methods and computer programming, PLC and SCADA Applications , UEE, EIMT , BEE, EEE
Energy management is the process of regulating and lowering your company's energy consumption. It allows you to: Cut costs – this is becoming increasingly crucial as energy prices continue to climb. Utilization of energy provided strong impetus for the construction of energy production and consumption patterns featuring diversified integration, interaction of supply-demand side. The future energy utilization system will move towards a user-centered integrated energy system (IES) the innovation of recent energy marketing prospectus. The future energy utilization system will also generate more new integrated energy service providers to better serve the individual demands of customer. It can be predicted the smart energy residential area for providers of integrated energy services to conduct user-side service management. Furthermore, the analysis and understanding of energy use behavior is an important way for integrated energy service providers to take on to the trend of increasing user energy demand and diversification of energy utilization, and also provide necessary means for users to make personalized energy use plans. These studies also provide methods and possibilities for user’s energy consumption behavior analysis. However, only few literatures studied the user energy consumption behavior using ML Techniques, For energy service providers to maintain market competitiveness. Therefore, the user energy behavior cluster analysis based can help the energy that is incorporated service providers to grasp the user energy behavior rules from the data, and maximize their own interests while satisfying users' personalized needs. Multi-thread demand forecasting model can utilize for minimize energy consumption. Can helpful to improve Effective energy costing.
Niharika Agrawal received BE and ME Degree in Electrical Engineering from SGSITS Engineering College, Indore. She has worked as Assistant Professor in Electrical Engineering and has teaching experience of 10.5 years. Currently she is working towards the Ph.D. Degree at SJB Institute of Technology, Bangalore from VTU University. Her research interest includes Power System, Renewable Energy, Microgrids, Soft Computing, Control Systems, Power Quality.
The demand of electricity is continuously increasing. Due to increase in power demand and interconnections the transmission system is highly stressed. The different ways to meet the rising demand are either to increase the power generation or to use the existing system in a better way. The first option is expensive and needs huge investment. Thus, the existing transmission lines should be utilized in a cost-effective manner. Stressed transmission system in turn may lead to unsecure and unsafe operation of the power system. PSS are used to damp low frequency oscillations. But for mitigating interarea oscillations and also to prevent transient instability TCSC which is a series FACTS device is a good alternative to consider here. TCSC is used along with PSS to improve the transient stability of the power system There are two different types of PSS considered in this paper. TCSC is used in coordination with both the types of PSS
Ms. Supriya K Patil holds a bachelor’s degree in electronics and communication and perusing master’s degree in industrial electronics from JSS Science and Technological University Mysuru and working as project trainee in Robert Bosch Engineering and Business solutions. Area of interest includes image processing, AI in automotive field.
Detection and object recognition is a challenging task in the area of Computer vision. The objective of this paper is to introduce a new approach for billing that is more efficient and accurate than current billing systems employed in fruit stores. The classification of fruits is done with deep learning neural networks, and load capabilities are calculated with strain gauge. Open CV and NumPy libraries are used to implement the image processing algorithms in Raspberry Pi boards. In this paper, the system can recognize the type of fruit, estimates the weight in gram, calculates the overall price, and allows customers to pay using RFID. Furthermore, this system offers smart warehouses that perform multi parameter monitoring and convey the data to the owners, allowing them to take appropriate measures at the right time for its longer shelf life.
Kiran Venneti was born in Rajahmundry in 1985. He received the BE and M.Tech degrees from Kalsar College of Engineering and Hindustan University in 2007 and 2011. He is currently pursuing Ph.D. degree from NIT, Assam. Since 2014, he has been with Aditya College of Engineering, where he is Assistant Professor in Department of ECE at Surampalem. His research interests focus on medical image processing, pattern recognition, Embedded Systems and IoT.
The brain is the most important organ in the human body, responsible for controlling and regulating all critical life functions for the body and a tumor is a mass of tissue formed by the accumulation of abnormal cells, which keep on growing. A brain tumor is a tumor which is either formed in the brain or has migrated No primary cause has been identified for the formation of tumors in the brain till date. Though tumors in the brain are not very common (Worldwide brain tumors make up only 1.8% of total reported tumors), the mortality rate of malignant brain tumors is very high due to the fact that the tumor formation is in the most critical organ of the body. Hence, it is of utmost importance to accurately detect brain tumors at early stages to lower the mortality rate. We have thus proposed a computer-assisted radiology system which will assess brain tumors from MRI scans for the management of brain tumor diagnosis. In this study, we have implemented a model that segments images using Watershed and PSO algorithm, extracts features using DWT and PCA algorithms and finally classifies the tumors using CNN, SVM and Lazy IBK algorithms with a high degree of accuracy.
GOPINATH DEVARAJ is a visual effects expert. He has completed his Masters in Electronic Media and his business studies in Auckland, New Zealand. His area of specialization is Digital Compositing VFX. He has nine years of work experience in India and in New Zealand for 4 years as production manager of news media and as Visual effects artist. He extended his career as academician in ICAT Design & Media College and later joined in Vellore Institute of Technology as Assistant Professor (Jr).
Anxiety is a mental disorder that has become one of the major issues in today’s world, so identifying the person with the same is a challenging task. During the 1950s contemporary techniques of treating anxiety were introduced, which involved muscle relaxation techniques and electroshock in the case of advanced stages of anxiety disorder. However, these type of treatments could be life threatening. These days’ physicians have the option of deploying various advanced technologies for achieving effective results in anxiety disorder treatment. Using Virtual Reality (VR) for the physical simulation therapy could be a convenient and cost effective solution. This work discusses and analyses the effectiveness of various VR based anxiety disorders therapies. Moreover, this study also explores the possibility of using VR-assisted motion capture technology (MOCAP) for augmenting the effectiveness of anxiety disorder therapies. Further, it also discusses the various potentials and future directions for the VR technology based anxiety disorder treatment.
Murtaza Joya has completed his B tech at Aburayhan university Kabul and done his practical training at Sharif university of technology Tehran, Iran. He continued his study and published two review papers and working on new research related to earthquake. recently he had done his ME.CTM (Construction Technology and Management) in Civil Engineering Department of Chandigarh University, Punjab, India.
The advancement of science and technology is a continuous process that contributes to the expansion of infrastructure across the world. Any country's growth is dependent on its infrastructure, and concrete plays a vital role in most infrastructures. This eventually increases the demand for cement. Cement manufacturing in India has increased in recent years, from 207 million metric tonnes in 2010 to 480 million metric tonnes in 2019. In the last few years, researchers have been making an attempt to develop sustainable and environmentally-friendly solutions for producing a spacious amount of concrete for the global construction industry. The answer could be Concrete without cement (Geopolymer concrete) and recycled materials, which we studied briefly
Rizqi Aisyah Kuncaraningrum, born in Malang, Indonesia in August 1994, she is the fifth of five children. The author studied from elementary school to undergraduate studies in Malang. Bachelor's education was taken at Brawijaya University majoring in Industrial Engineering. And now the author is continuing her master's degree at Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
This study considers the integrated problem of inspection, maintenance, and inventory in an imperfect production system. The production system can be performed in two state is in-control and out-of-control state, where some proportion of defective items are produced by the production system during both the in-control and out-of-control states. A production system, maintenance, and quality need more coordination to increase productivity and efficiency to reduce costs. A mathematical model is developed to representing the expected total cost per item is derived for an imperfect production system. This study aims to determine the optimal amount of buffer stock and inspection policies to minimize costs per item during the production process. This study proposed an extended product inspection policy for an imperfect production system. A buffer stock is established to meet demand while maintenance is performed. Product inspections are performed any arbitrary time of a production cycle, and after the inspection, all defective products produced until the end of the production run are fully reworked. The non-inspected items are sale with free minimal repair warranty. The inspection policy is imperfect, permitting type I and type II errors are considered to make the model more realistic. A numerical experiment along with graphical representations are to illustrate the proposed model. Sensitivity analysis of the optimal solution with respect to model parameters of the system which have direct influence on the optimal decisions, and the implications are discussed.
I am currently doing my PhD in philosophy of information technology in international Islamic university university Malaysia (2018 till now). I received my degree and first master in science in the university Gamal Abdel Nasser University of Conakry-Guinea (2006-2010), CELPAD ( centre for languages and pre-university academic development) in international Islamic university Malaysia (2012-2014), second master in information technology in international Islamic university Malaysia (2015-2018).
Bitcoin is a e-currency created by the computational result of blockchain technology. It is the world's first decentralized anonymous digital circulation which accepts online transactions without relying on any third-party institutions or government. Though, its technology is considered as one of the secure online ledgers with strong cryptography integrated payment systems in financial sector, it is still struggling to integrate banks and finances for payment and people are reluctant to accept its adoption. The aim of this study it is to investigate the influential factors such as perceived trust, perceived risk, self-efficacy, resource appropriateness and intention to use of its adoption in our daily use. Therefore, to address this gap, the research utilized a quantitative method survey built on previous theories of Technological Acceptance Model (TAM), Theory of Reasoned Action (TRA), Delone and McLean Information System Success Model and Self-determination Theory Model (SDT) to lift up the barriers of bitcoin implementation. We used a sample of 402 participants for the analysis where seven main variables and nine hypotheses got formulated and tested using the partial least squares (PLS) path modeling with SPSS. The result shows that the analysis of the data provided support for all the hypotheses and established a positive relation between variables and the findings obtained have both academic and practical worth in terms of Information Systems technology adoption for improving the understanding of factors influencing bitcoin adoption in banking and finance.