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International Journal of Environment, Engineering, and Education
Published by Three E Science Institute
ISSN : -     EISSN : 26568039     DOI : https://doi.org/10.55151/ijeedu
Core Subject : Science, Education, Social, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science
The International Journal of Environment, Engineering, and Education [e-ISSN: 2656-8039] is a peer-reviewed, open-access journal that is published three times a year [in April, August, and December]; this journal provides the right platform for authors to update their knowledge, information, and share their research results with the more significant scientific community publishing research articles explaining the ecological, technical, and educational impact of research from various disciplines publishing research articles explaining the environmental, technical, and educational implications of research from multiple disciplines publishing research As an interdisciplinary scientific publication, this journal encourages collaboration between researchers, academics, practitioners, and policymakers in various sectors to develop sustainable solutions to address environmental, engineering, and educational problems and promote sustainable development.
Arjuna Subject : Umum - Umum
Articles 4 Documents
 1 
Search results for , issue "Vol 1 No 2 (2019)" : 4 Documents clear
Detection of Development and Density Urban Build-Up Area with Satellite Image Overlay Muhammad Rais Abidin; Amal Arfan
International Journal of Environment, Engineering and Education Vol 1 No 2 (2019)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v1i2.12

Abstract

The growth dynamics of urban areas and the increase in land requirements are a series of each other influence each other The method used in this study is a quantitative method through spatial analysis using Geographic Information Systems. The purpose of this study was to see the extent to which the development of urban areas using the Urban Index (UI) method. Data analysis carried out by overlapping techniques using a map of the built area of Land Use in 2013 and the results of image interpretation for the built area in 2017. The results of the study showed that there was a percentage increase in the built area from 2013 to 2017 of 12.67%. Then from the total area of Makassar City, around 60.72% of the area built in 2013, and there was a significant increase in 2017 to 76.30%. The process of expansion of built-up land without control often impacts on the loss of land that has ecological functions and then impacts on the emergence of environmental problems. One of the things that can be done to prevent the adverse effects of the development of built land is to monitor and predict its development so that solutions can found before the adverse effects occur.
The Impact of Using the Internet for Learning for Students with Technology Acceptance Model (TAM) Dominique Garcia O’Dell; Tri Sulastri
International Journal of Environment, Engineering and Education Vol 1 No 2 (2019)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v1i2.13

Abstract

The development of the internet can provide convenience to humans in general, and students as one of the educational academics can provide changes in their life processes. The technique used in this study is Generalized Least Squares (GLS), which is proxied by using asymptotic covariance matrix data. The purpose of the study is to analyze the impact of the use of technology, in this case, is the internet in the learning process carried out by students. There are four constructs used in the TAM research, namely Perceived Ease of Use, Perceived Usefulness, Attitude Toward Using, and Actual Technology Usage. The research has three indicators for each latent variable. In this case, the latent variables are four. Then it can conclude that the number of samples used is 120. The sampling technique in this study uses Nonprobability sampling. The research hypothesis will test by analysis of SEM (Structural Equation Model) with the IBM AMOS (Analysis of Moment Structure) Program. The technique for using Generalized Least Squares (GLS), which is proxied by using the asymptotic covariance matrix data. From the results of the study, it found that this model has shown an overview of the aspects of the behavior of internet users that use for practical learning, where many users can efficiently operate the internet because it fits with what they need. Technology Acceptance Model (TAM) provides a reliable and straightforward explanation in accepting the technology and behavior of its users.
Comfort Temperature and Lighting Intensity: Ergonomics of Laboratory Room Machine Tools A. Muhammad Idkhan; Fiskia Rera Baharuddin
International Journal of Environment, Engineering and Education Vol 1 No 2 (2019)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v1i2.15

Abstract

Laboratories that meet ergonomic standards will support the learning process, both academically and technically, to facilitate the growth and development of skills. This study aims to uncover and provide an overview and information about laboratory ergonomics standards which include thermal comfort (temperature), workspace laboratory lighting. This study uses a quantitative approach with a survey method carried out in the Machine Tool Unit Laboratory of the Department of Mechanical Engineering Education with a population of 60 students who are carrying out practicum. Techniques using direct observation and measurement. Lux Meter to measure lighting and then Digital Thermometer which functions to measure temperature at the observation point in the laboratory. Data collection starting at 07.00 until 12.00 and in the afternoon starting from 13.00 to 16.00, which is the time to do work activities. Measurements made at ten observation points the results showed that; (1) thermal comfort (temperature) with a value of 30.44 degrees Celsius, while the ideal practical standard ranges from 24 – 27 degrees Celsius; (2) Lighting with a value of 422.14 Lux while the ideal practice standard ranges from 500 – 1000 Lux. These results indicate that there is a tendency for temperature and lighting in laboratory rooms under conditions that are less than the standard set. To increase work productivity, these factors can cause less concentration and stress at work.
Homogeneous Image Compression Techniques with the Shannon-Fano Algorithm Fathahillah Fathahillah; Satria Gunawan Zain; Rismawati Rismawati
International Journal of Environment, Engineering and Education Vol 1 No 2 (2019)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v1i2.17

Abstract

Compression is a field that needed at this time where increasingly high-tech digital and computing makes it possible to process data in a size that is large enough like multimedia. Compression needed to keep pressing the storage media consumption of data and information stored on computer media. The Shannon-Fano compression algorithm is one of the well-known compression algorithms and is useful in saving data storage space. Shannon-Fano compression algorithms can be performed on text and digital images. In this study applying the Shannon-Fano method to homogeneous digital images using applications created with the MATLAB Program. The product of this research will be tested using several images taken using a webcam. The product tested to find out whether the coding used is correct or has errors. The product will be successful if it can reduce the size of the compressed image from the original image. Homogeneous images that have tested using the Shannon-Fano image compression application have an average compression ratio value of 52%. The size of the compression results reaches half of the original image. The Shannon-Fano compression algorithm detects the number of times that characters appear in each experiment, then the coding of the frequency of characters appearing in binary numbers.

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