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International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR)
Published by MULTITECH PUBLISHER
ISSN : -     EISSN : 30262437     DOI : https://doi.org/10.59890/ijaamr.v1i2
Core Subject : Economy, Humanities, Education, Social, Engineering,
Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Social Sciences
International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR) is a multidisciplinary journal that publishes high quality research papers in the areas of Business Management, Agriculture, Information Technology, Engineering, Health & Life Science, Zoology, Humanities, Applied Sciences, Biology, Criminal Justice, History, Public Administration, Political Science, Sociology, Social, English, Science, Mathematics, Human Resource Management, Accounting, Business Administration and Management, Computer Science, Communication, etc. International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR) publishes articles monthly.
Arjuna Subject : Teknik (semua kategori) - Teknik Sipil dan Struktur
Articles 15 Documents
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Search results for , issue "Vol. 1 No. 2 (2023): October 2023" : 15 Documents clear
Character Recognition in Air-Writing based on Network of Radars for Human-Machine Interface Bhalerao, Siddhi; Meenakshi Thalor
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 2 (2023): October 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i2.345

Abstract

Radar technology can detect hand gestures without touching, making it an intuitive way to interact with computers. Air-writing means writing in the air with hand movements. We’ve created an air-writing system using millimeter-wave radars. Our method has two steps: first, we figure out where your hand is and track its movement. Then, we use this data in two ways: one uses a special kind of neural network to understand the hand’s path and recognize characters, and the other turns the hand's path and recognize characters, and the other turns the path into an image and uses another neural network to figure out which letters were drawn. The first method works really well, with a 98.33% accuracy rate for character recognition, similar to the second method. We tested this with real data from three radar sensors at 60 GHz. This setup and method show promise for human-computer interaction without touching.
AI Interview Trainer Sopan Bhere; Dudhat, Sejal
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 2 (2023): October 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i2.419

Abstract

Nowadays AI is playing a crucial role in our daily life such as in the medical field, IT industry, Education, and so on. In this paper, we introduced a new AI bot that helps you to get a job in various fields like the IT industry, Education, etc. Next, we discuss the technology used for developing AI Bot such as Artificial Intelligence, Machine Learning, and Deep Learning as well as various frameworks that help to develop Bot such as Natural Language Processing (NLP), Translator (speechto-text and text-to-speech), Speech analysis, etc. The aim of developing this project is to user can identify their strength, weaknesses, and personality improvement to succeed in an interview. AI bots can be considered as a substitution for human beings in terms of interaction.
An Exploring IOT Solution for Enhanced Smart Traffic Management System Akash Maji; Pragati Mahale
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 2 (2023): October 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i2.481

Abstract

This paper delves into the use of the Internet of Things (IoT) to enhance smart traffic management systems. It acts as a middle layer built upon IoT technology, expanding the concept of a smart city by improving traffic light control, parking management, emergency assistance, anti-theft security, and more. IoT facilitates seamless communication between web-connected devices and various components like traffic sensors, services, and actuators, creating a robust network. Consequently, IoT's application in smart traffic management extends beyond just reducing traffic congestion and optimizing traffic flow; it also encompasses continuous monitoring and ensuring the safety of elderly individuals. By collecting data from multiple traffic sources and utilizing IoT, we can analyze traffic patterns, regulate traffic operations, and store valuable insights for future reference. While there are certain limitations to implementing this technology, such as challenges related to advanced machine learning and data-driven techniques, this survey provides a valuable overview of how IoT can be applied to enhance smart traffic management systems, drawing from existing research in the field.
Analysis of The Gross Motor Skills of Children Aged 5-6 Years in Football Games at TK Negeri Pembina Sibolangit Barus, Aldi Pranata; Aman Simaremare
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 2 (2023): October 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i2.494

Abstract

This research was conducted with the aim of describing the gross motor skills of children aged 5-6 years in the aspects of: 1) Strength, 2) Agility, 3) Balance through playing football. The type of research used is descriptive qualitative. The subjects in this study were 10 children aged 5-6 years at TK Negeri Pembina Sibolangit. The results showed that: 1) the gross motor skills of children in the strength aspect showed that 70% had developed as expected and 30% had not developed as expected. 2) children's motor skills in the agility aspect show that 60% of children develop as expected and 40% have not developed as expected. 3) gross motor skills of children in the aspect of balance, 80% of children's abilities have developed as expected and 20% have not developed as expected.
The Influence of Storytelling Apron Media on the Speaking Skills of Children Aged 5-6 Years at TK Karunia, Medan Johor District, Academic Year 2022/2023 Harahap, Namira Mawaddah; Sariana Marbun
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 2 (2023): October 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i2.495

Abstract

This study aims to determine the effect of storytelling media on the speaking skills of children aged 5-6 years. This study uses an approach with an experimental method (Quasi-Experimental Design) in the form of The Equivalent Time Samples Design. The population in this study were all children aged 5-6 years at TK Karunia for the 2023/2024 academic year. From the data the results of data analysis have an average score of treatment 1 of 2.5, treatment 2 gets an average value of 6.1 while treatment 3 gets an average value of 9.3. Based on data analysis through non-parametric hypothesis testing, the SPSS 25 statistical test value is 0.005. There is a significant influence between the use of storytelling media on the speaking skills of children aged 5-6 years at TK Karunia, Medan Johor District, Academic Year 2022/2023.
The Influence of Boy-Boyan Games on the Social-Emotional Abilities of Children Aged 5-6 Years at TK Siaga Muda, Percut Sei Tuan District Nadhila, Anggun Aulia; Kamtini
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 2 (2023): October 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i2.496

Abstract

This study aims to find out the influence of boy-boyan games on the social-emotional abilities of children aged 5-6 years in TK Siaga Muda. This research was conducted at TK Siaga Muda, with a population of 20 children which made a sample of 10 children. In this study, the method used is the One Group Pre-Test Post-Test research method. Based on the results of Wilcoxon calculations, the number of steps marked positive = 45, and the number of steps marked negative = -10. So, Jcount = ie the number of smaller levels. If Jcount is compared with Jtable N 10 with α 0.05 then Jtable = 8. From the results of the above analysis, it can be said that Jcount > Jtable where >, thus the hypothesis is accepted. It means "There is a significant effect of Boy-boyan Games on the Social Emotional Ability of Children Aged 5-6 Years in TK Siaga Muda ".
Analytical Review of Machine Learning Algorithms (Models) for Stock Market Prediction Bose, Tejas; M.A.Thalor
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 2 (2023): October 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i2.517

Abstract

The realm of stock market forecasting presents a formidable challenge, given the intricate, noisy, chaotic, and ever-evolving nature of its time series data. However, the advent of computational advancements offers a ray of hope, as intelligent models hold the potential to assist investors and analysts in mitigating the inherent risks associated with financial markets. In recent years, Deep Learning models have garnered significant attention, with numerous studies delving into their application for predicting stock prices using historical data and technical indicator Yet, the ultimate goal in this pursuit is not merely prediction but validation, a crucial step in the context of the financial market. This systematic review sets its sights on Deep Learning models employed in stock market forecasting through the lens of technical analysis. It dissects the landscape based on four pivotal dimensions: predictor techniques, trading strategies, profitability metrics, and risk management. Unveiling the findings, it becomes apparent that the LSTM (Long Short-Term Memory) technique reigns supreme, representing a substantial 73.5% of the studies in this domain. However, the review uncovers notable limitations in the existing literature, with a mere 35.3% of studies addressing profitability metrics and a mere two articles delving into the intricacies of risk management.
Unmasking the Shadows a Study on Cybercrime and it's Consequences Yash Kharat; Pragati P. Mahale
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 2 (2023): October 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i2.525

Abstract

The term "cyberspace" refers to the digital world that uses electrical and electronic equipment to store, transfer and share information through networks and physical infrastructure. It is mainly combined with computer work and the Internet, including virtual reality. In this virtual world, cybercrime has emerged as a major threat that includes crimes involving hacking, network disruption, and inappropriate online behavior such as leaving information from untrusted sources. Therefore, network security has become a pressing concern for the country. Although many electronic devices come with built-in firewall software, it is important to be aware of their limitations in providing complete data protection. This article highlights various aspects of cyberspace and the urgency of solving security problems.
Used Vehicle Price Prediction with Machine Learning Rangila, Mohammed Munawwar; Anuja S. Phapale
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 2 (2023): October 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i2.540

Abstract

The automotive industry has experienced significant growth and diversification in recent years. With this growth comes an increase in the demand for used vehicles. However, determining the accurate price of a used vehicle is a complex task due to various factors such as age, mileage, condition, and market trends. Efficient and accurate price prediction and classification are essential for both buyers and sellers in order to make informed decisions. To tackle this challenge, supervised machine learning techniques have gained prominence in recent years. These techniques leverage historical data to train models that can predict and classify the prices of used vehicles. By analyzing large datasets of past sales, these models can identify patterns and relationships between different features of a vehicle and its market value.
Development of Busy Book Learning Media Based on the Universe Theme to Develop English Vocabulary for Early Childhood of Kindergarten Group B at TK Amir Hamzah Medan Raliza, Siti Nur; Damanik, Suri Handayani
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 2 (2023): October 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i2.584

Abstract

This research was carried out to determine the feasibility and practicality of busy book learning media based on the theme of the universe in developing the English vocabulary of early childhood in Kindergarten Group B. The research is R&D research using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). Based on the research results, a score of 3.875 was obtained from media experts in the "Very Feasible" category. From media experts, a score of 2.9 was obtained in the "Decent" category in the first stage and a score of 3.8 was obtained in the "Very Feasible" category in the second stage. From the practicality test, a score of 3.7 was obtained in the "Very Feasible" category.

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