Journal of Advanced Research in Computing and Applications

IoT-Enabled GPS Tracking System for Monitoring the Safety Concerns of School Students

2024-04-04T01:26:44+00:00

In today's world, reports of child abduction or attempted abduction are alarmingly frequent. With parents' hectic work schedules, children often travel to and from school alone, either by walking, biking, or taking school buses. This project proposes an Internet of Things (IoT) GPS tracking system to aid parents monitor their children's safety during these commutes. The system is designed for children between the ages of 4 and 10 and uses an Arduino Uno device placed in the child's school bag. This allows parents to track their child's real-time location movement through a mobile application. One of the key benefits of this system is the ability to monitor multiple children at the same time using the app. Otherwise, if the device remains stationary in an unusual location for a prolonged period, the system will automatically send an alert to the parents. This feature ensures that parents are promptly notified if their child's device is not moving as expected, potentially indicating a problem or emergency. The main objective of this proposed IoT solution is to give parents peace of mind and a way to take quick action if any worrying situations occur during their children's journeys to and from school. By leveraging advanced technology, this system will also authorize parents to stay connected and related to their children and respond swiftly to any potential threats to their safety.

Leveraging Correlation and Clustering: An Exploration of Data Scientist Salaries

2024-04-04T01:41:43+00:00

Data science is a dynamic field with ever-evolving job descriptions and salary structures. While data science offers high earning potential, the factors influencing data scientist salaries remain unclear. This lack of clarity makes it challenging for both employers to determine competitive compensation packages and for employees to understand how career choices like experience level and job title can impact their earning potential. Thus, this study aims to explore the interrelationship between related variables with salary. To achieve the objectives of this research, correlation analysis was employed to identify the strength and direction of linear relationships between these attributes in the dataset. Additionally, k-means clustering was utilized to group data scientists with similar characteristics, allowing for the exploration of potential salary segments within the data science field. It was found that there was a very strong correlation between employee residence and company location (r=0.90). There was a significant moderate positive correlation between salary with company location (r=0.46), residence (r=0.48) and experience level (r=0.41) respectively. Based on the clustering analysis, the group was divided into four different popular roles in data science salary group. Therefore, employers can leverage this knowledge to design the salary packages considering location and experience.

Application of the Canny Filter in Digital Steganography

2024-05-02T02:11:36+00:00

Substitution methods, LSB variants used in steganography on bitmap images, increase their effectiveness as the carrier images becomes noisier, that is, images with strong color variations between adjacent pixels reduce the human visual perceptibility threshold for detecting alterations. Sensitive information can thus be hidden with significantly greater efficacy and efficiency (in terms of perceptibility and quantity). Precisely for such effects, in a work on steganography prior to this, the necessary and used witness carriers were classified into four groups, according to their noise level, obtaining what was called Image Category [1]. However, quantifying such a property in an image with reasonable certainty, through analysis methods, turns out to be a costly task, requiring support tools, steganographic emulations, perceptibility measurements, previous experience, etc. In the context of the current R&D work on steganography, it was possible to similarly categorize any image, but without human intervention. This paper explains how this process was systematized, detecting noise level intervals that were assigned to the Image Category, which was done using Canny filters and subsequent weighting of the obtained image. Such a proposal brings a significant advantage when implementing substitution-based steganography systems.

Tadabbur Al-Quran Through Information Technology: A Pilot Study Among Selangor Islamic University Students

2024-04-04T01:57:36+00:00

Digital information technology has had a great impact on human life in many aspects. It is growing rapidly and becoming an important part of everyday life. Based on these requirements, this pilot study was conducted to identify the reliability of the instrument to measure the use of information technology during the process of meditating on the Quran among students of the Institute of Higher Studies at the Islamic University of Selangor (UIS). Since university students are the future human capital of the country and the link to the previous generation of the Muslim community, it is necessary to study and appreciate the true Quran according to the Quran and Sunnah. This study is based on a quantitative research design and the method used is stratified random sampling with a sample size of 35 Muslim students from the Islamic University of Selangor (UIS). The research instrument used is a questionnaire. The use of digital questionnaires that is "google form" allows data to be collected and analyzed easily and quickly. Research on previous studies was done to build instruments in this study. The value of the cronbach alpha coefficient for tadabbur al-Quran and information technology is 0.90 which is at a very high value. Thus, variable reliability of this instrument is acceptable. Research data was analyzed using IBM "Statistical Package of Social Science" (SPSS) version 29 to evaluate frequency, percentage and average. The results obtained show that the practice of memorizing the Quran using information technology among students is at a medium-high level. Thus, technology-based digital learning enables learning the Quran and daily tasks to be more personal and effective. However, the goals and objectives require improvements in order to help the process of reciting the Quran more systematic to achieve the goals and results of reciting the Quran.