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AI and Nanotechnology for Healthcare: A survey Rawat, Bhupesh; Bist, Ankur Singh; Supriyanti, Dedeh; Elmanda, Vonda; Sari, Siti Nurindah
APTISI Transactions on Management (ATM) Vol 7 No 1 (2023): ATM (APTISI Transactions on Management: January )
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i1.1819

Abstract

AI is today's wave of technology, and it caters to various problems. One of them is Nanotechnology. Nanotechnology is another thread of technology. The use of nanotechnology is well known, including in the health sector, cosmetic industry, and agriculture. The role of AI in healthcare is broad, from detecting lung disease to skin analysis. This study aims to explore healthcare possibilities by integrating AI and nanotechnology. The method of applying nanotechnology in the health sector uses a Nanomedicine Microscope. Nanomedicine is the medical application of nanotechnology used to diagnose, monitor, and control biological systems. Therefore, the author uses the Nanomedicine Microscope as the object in this study because the wonders of nanotechnology in various operations are also well established. The novelty in this paper focuses on AI and Nanotechnology together as possibilities for healthcare. AI and nanotechnology are two critical technologies. The ultimate goal is to integrate the uses and possibilities of these two technologies and do wonders in the healthcare domain. This study will benefit those working in AI and medicine. Nanotechnology integrating AI technology into the medical industry enables many conveniences, including task automation and analyzing large amounts of patient data for better, faster, and more affordable healthcare.
AI Based Assistance To Reduce Suicidal Tendency Among Youngsters Rawat, Bhupesh; Bist, Ankur Singh; Mulyati; Fakhrezzy, Muhammad; Octavyra, Regina Dinda
APTISI Transactions on Management (ATM) Vol 7 No 2 (2023): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i2.1829

Abstract

Suicidal tendency among youngsters is one of emerging issue in society.This not only results in loss of life but also has disruptive psychosocial and adverse socio-economic effects. It accounts for 1.4% of all deaths. It is also reported that men die more than women. If we look at male to female ratio regarding suicide death, then it is 1.5 to 1 and is highest in richest countries. Each year, approximately 800,000 people die by suicide worldwide. Fast life style, academic pressure, relationships, drug addiction etc, are major causes of this. This is exacerbated by the presence of new factors that arise as a result of the COVID-19 outbreak, which puts new pressures on society, which of course worsens the mental condition of today's society.Governments and NGOs are highly concerned about it. In this paper, we are concerned about the role of technology to prevent it. We will discuss how artificial intelligence can help in keeping the wellbeing of the mental state of human beings. Our focus would be on use of artificial intelligence in predicting and preventing suicide attempt. We will share our perspective on how other techniques excluding AI can help to alleviate this menace.AI based applications are playing a vital role to assist mental health. Our purpose is to study the role of AI in mental health.
AI Based Drones for Security Concerns in Smart Cities Rawat, Bhupesh; Apriani, Desy; Permadi, Nur Ihsan; Nabila, Efa Ayu; Bist, Ankur Singh
APTISI Transactions on Management (ATM) Vol 7 No 2 (2023): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i2.1834

Abstract

The concept of a smart city has attracted the attention of all corners of the world. It updated with new technologies like AI, Blockchain, IoT, Drones, and many other things. Security in big cities is one of the main concerns, and everyone wants to feel safe 24/7 in every activity they do. In this paper, our research aims to highlight the use and importance of drones for intelligent city management, especially in the context of security. The drone security management flow is explained using the methods and technical details. This is followed by discussion on security concern in cities and how it is dealt with AI based drones.  In the conclusion section, it is discussed how emerging technology such as blockchain can help improve the management of smart cities. The use of drones supports the intelligent city concept with all its advantages in regional monitoring. Concept of smart cities is catching attention across the globe and it’s important as per context of emerging economies. In this paper, we discussed about the use of emerging technologies to make it possible. AI, Blockchain and Drone technologies are playing important role. Their significance and attention by researchers in exploring possibilities is shown in this paper. This paper will be very useful for researchers and engineers working in the same domain.
An Exhaustive Analysis of Stress on Faculty Members Engaged in Higher Education Bist, Ankur Singh; Rawat, Bhupesh; Rahardja, Untung; Aini, Qurotul; Prawiyogi, Anggy Giri
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 2 (2022): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i2.533

Abstract

Higher education is the face of innovation for any country. The quality and dedication of professors help to maintain quality in this process. With time, parameters were raised to check the quality of professor attributes. In this paper, we discuss all possible parameters taken by universities to evaluate faculty performance. Gradually it grew overhead pressure on professors and impacted the teaching-learning process. Our paper focused on stress parameters with possible solutions for the same issue. The process consists of several parameters to evaluate an employee's performance, such as no publications in conferences and journals, no patents filed, additional responsibilities performed, other qualifications achieved, result in the analysis of courses taught, etc. Still, it also puts a lot of pressure on both of them because they have to balance all this extra work and teaching. This paper focuses on different faculty assessment parameters and their impact on the faculty teaching-learning process. We also propose possible solutions on how this stress can be alleviated, and the existing strategy can be simplified.
Study of Kumaon Language for Natural Language Processing in End-to-End Conversation Scenario Rawat, Bhupesh; Bist, Ankur Singh; Mehra, Nidhi; Fazri, Muhammad Faizal; Terah, Yochebed Anggraini
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 2 (2022): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i2.534

Abstract

Natural language processing is one of the essential activities of artificial intelligence. There is an excellent need for chatbots that require integration into artificial intelligence applications. The local language makes the process easier. Our research aims to analyze the possibilities and challenges of implementing a chatbot in the Kumaon language. We also provide a detailed survey of the Kumaon language and map it to other languages to make it easier to process it for industrial use. This chatbot can help with various needs and services in the Kumaon language. The method used in this research is a study analysis of the Kumaon language to deal with language extinction. The novelty in this research is a chatbot in the Kumaon language with end-to-end encryption so that the service user has good security.
Research Impact Evaluation Tools: Myths and Reality Rawat, Bhupesh; Bist, Ankur Singh; Maulani, Giandari; Azizah, Nur; Oganda, Fitra Putri
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 2 (2022): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i2.539

Abstract

 Research is one of the core activities for enhancing existing human capabilities. Research papers, patents, copyright, trademark etc. are used to represent novel ideas and experimental findings. Our aim is to discuss various tools that are used to measure the research impact of researchers among communities. This paper also discusses several critical issues which have emerged due to the malpractice in the academic and research community.