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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 21 Documents
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Literature Review Traditional Medicine To Stabilize Blood Pressure In Hypertension Sufferers Riska Nabila; Hidiyatul Fithi
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i1.232

Abstract

Hypertension occurs when blood pressure exceeds normal limits, with a systolic pressure typically around 140 mmHg and a diastolic pressure around 90 mmHg. One approach to managing blood pressure involves a combination of modern therapies and the utilization of traditional herbal remedies. This study is a literature review aimed at gathering data and sources related to a specific topic from various sources, including journals, books, the internet, and other published works. Several herbal plants, such as dates, boiled celery water, moringa leaves, papaya leaves, ginger, garlic extract, cucumber juice, and carrot juice, can serve as traditional remedies to lower blood pressure. Hypertensive patients may consider using traditional (non-pharmacological) medicine as an alternative for blood pressure reduction.  
Analysis of the Language Ability of Children Aged 4-5 Years at TK Pelangi Medan For Academic Year 2022/2023 Yola Lukita Saragih
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i1.273

Abstract

The problem in this research is the lack of children's language skills, especially in the categories of children's listening skills and speaking skills. This research aims to find out the level of language skills of children aged 4-5 years at TK Pelangi Medan For Academic Year 2022/2023. This type of research is qualitative descriptive research. The data collection method used observation sheets aimed at children, the subjects in this research were 4 children in class A Matahari At TK Pelangi Medan. Based on data analysis from 4 respondents, 2 children still have difficulties in language skills, especially in listening skills and speaking skills, 1 child's language skills are already good, and 1 child's language skills are starting to be good.
The House Price Prediction Using Machine Learning Vaishnavi Kanade
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i1.290

Abstract

Machine Learning (ML) has profoundly impacted various domains, including speech recognition, healthcare, and automotive safety. Acknowledging its pervasive influence, our project aims to harness ML's capabilities for housing price prediction. In the volatile real estate market, prospective buyers strive to make informed decisions within budget constraints, often hindered by the absence of reliable future market trend forecasts. Our project's primary goal is to provide accurate house price predictions, mitigating potential financial losses. To achieve this, we are developing a housing cost prediction model employing ML algorithms such as Linear Regression, Decision Tree Regression, K-Means Regression, and Random Forest Regression. This model empowers individuals to invest in real estate without intermediaries. Our research highlights Random Forest Regression as the most accurate model, offering a promising avenue for confident real estate investment.
A Hybrid Acoustic And Deep Learning Approach For Enhanced Speech Emotion Recognition Gargi Bharshankar
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i1.291

Abstract

Emotion recognition in speech is a key research topic in human-computer interaction. Understanding emotions in conversations can shed light on a person's well-being. This study introduces a hybrid architecture that combines acoustic and deep features for improved speech emotion recognition. Acoustic features like RMS energy and MFCC are extracted from voice records. Additionally, sound spectrogram images are processed using deep networks like VGG16 and ResNet to obtain deep features. These are merged into a hybrid feature vector, refined by the ReliefF algorithm. For classification, the Support Vector Machine is employed. Testing on datasets like RAVDESS and EMO-DB yielded accuracy rates up to 90.21%. Our method consistently outperformed existing techniques in accuracy.
Culture-Based Leadership Development Ezra Tari; Lanny I.D. Koroh; Martin Ch. Liufeto
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i1.304

Abstract

The pattern of leadership is an important factor in advancing leadership. The degradation of cultural values as a result of modernisation is a barrier to establishing cultural leadership. One of the challenges is the electoral system, as is the reliance on ancestor involvement. For cultural leadership patterns, dynastic and authoritarian leadership are in the forefront. The purpose of this study is to promote the development of cultural leadership. According to the findings, adjustments to leadership style are critical; the development of culture-based leadership also entails the ability to modify leadership styles that are consistent with current cultural norms and rules. Direct and open communication reduces conflict and improves artistic performance. Cultural leaders are carried on over generations, from parents to children, ancestors, and Birthright.
A Character Recognition In Air-Writing Based On Network Of Radars For Human-Machine Interface Siddhi Bhalerao
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.
Organoleptic Characteristics of Soy Milk Powder with the Addition of Red Ginger Extract (Zingiber officinale var. rubrum) Jufrin Pagune; Riska Nabila
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i1.349

Abstract

Soy milk powder is one of the natural products used to diversify liquid soy milk. One of the drawbacks of processed soy milk is its bland taste or odor, which necessitates the addition of essence in the form of red ginger extract. The objective of this research is to determine the best treatment based on organoleptic characteristics, specifically using the hedonic method or panelist preference test. This research employed a completely randomized design (CRD) with 4 treatments, each replicated 3 times: S0 = 500 ml soybean juice, S1 = 500 ml soybean juice + 20 ml red ginger extract, S2 = 500 ml soybean juice + 30 ml, and S3 = 500 ml soybean juice + 40 ml. The organoleptic test results for soy milk powder revealed that the aroma preferred most by the panelists was found in treatment S3 with a score of (3.9), the taste preferred most by the panelists was also found in treatment S3 with a score of (4.4), and the color preferred most by the panelists was found in treatment S0 with a score of (4.1).
Ai Interview Trainer Sopan Bhere; Sejal Dudhat
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 Aldi Pranata Barus
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.

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