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Contact Name
Abdul Hafid Hasim
Contact Email
abdulhafidhasim@gmail.com
Phone
+628116112965
Journal Mail Official
editor.ijeedu@gmail.com
Editorial Address
Phinisi Residence Complex E1 A.P. Pettarani Road Makassar, South Sulawesi, Indonesia, 90222
Location
Unknown,
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INDONESIA
International Journal of Environment, Engineering, and Education
ISSN : -     EISSN : 26568039     DOI : https://doi.org/10.55151/ijeedu
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 5 Documents
Search results for , issue "Vol 4 No 3 (2022)" : 5 Documents clear
End-User Computing Satisfaction (EUCS) Model: Implementation of Learning Management System (LMS) on Students Satisfaction at Universities Andi Padalia; Taufiq Natsir
International Journal of Environment, Engineering and Education Vol 4 No 3 (2022)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v4i3.72

Abstract

The purpose of this research is to find out the extent to which user satisfaction with the Learning Management System (LMS) service is so that it can provide better service and can satisfy/meet the needs of its users by measuring user satisfaction with information systems using the End-User Computing Satisfaction (EUCS) model approach. The researcher adopted the EUCS model developed by Doll and Torkzadeh regarding the satisfaction of end users of information systems. Related to the level of contentment experienced by end users of information systems, the researcher chose to implement the EUCS model that Doll and Torkzadeh had developed. The collected research samples came from a total of two hundred (200) students enrolled in the Arts, Drama, Dance, and Music Education Study Program in batches of 2021 and 2022. Confirmatory Factor Analysis (CFA), a subset of the Structural Equation Modeling (SEM) method, was used to analyze this research project's data. User satisfaction will also affect if the variable of ease of use in learning applications used by students is easy to access and can be accessed anywhere and anytime. This study found that students were highly satisfied with the Application of LMS in the learning process. It was also found that the five EUCS factors significantly increased satisfaction with learning technology.
Accuracy Assessment of Unsupervised Land Use and Land Cover Classification Using Remote Sensing and Geographical Information Systems M. D. K. L. Gunathilaka; S. L. J. Fernando
International Journal of Environment, Engineering and Education Vol 4 No 3 (2022)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v4i3.73

Abstract

A significant tool for determining how accurate a categorization product is the accuracy assessment. Remote Sensing is one of the essential tools for compiling land use and land cover maps through image classification. The availability of high-quality Landsat imagery and secondary data, an accurate classification technique, and the user's knowledge and competence with the procedures essential to the image classification process. Assess the satellite image classification suitability for further mapping and analysis through accuracy assessments. This paper examined land use and land cover classification using unsupervised classification and extracted NDBI and NDVI further to support main land use and land cover types in the area. The accuracy of classifications was assessed using an error matrix and Kappa statistics. Land use and land cover, NDBI, and NDVI classification accuracies are almost perfect, further verified by the Kappa statistics tool. An excellent unsupervised classification of land use and land cover classes was generated. Accuracy assessment evaluation is one of the most significant tools for determining a classification product's accuracy. The confusion error matrix and Kappa coefficient were particularly useful in calculating accuracy assessment. Typically, accuracy measures of the unsupervised classification show a moderate accuracy level. This study observed almost perfect agreement in all types of accuracy measures. This study is an important source of information that planners and decision-makers may utilize to plan the environment sustainably.
Traffic Conditions and Characteristics: Investigation of Road Segment Performance St. Maryam Hafram; Ahmad Rifqi Asrib
International Journal of Environment, Engineering and Education Vol 4 No 3 (2022)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v4i3.77

Abstract

The dimensions of the road affect the flow of traffic passing over it. Even though the traffic lanes are the same width, the traffic flow will not be the same because the environment is different. This study aims to determine traffic conditions and characteristics through density analysis and the level of traffic service on the roads. This research is a type of non-experimental research, like a case study with survey methods and direct field observations to determine the performance of the road network. The primary data collected through direct recording in the field is the number of vehicles passing through Perintis Kemerdekaan Road and observing the side constraints that reduce capacity and service levels and impede smooth traffic flow. Data analysis used the Highway Capacity Manual (HCM) and Indonesia Road Capacity Manual (MKJI) 1997. The service level value (LOS) is obtained by dividing the peak traffic volume in the west direction of 4728 PCU/hour with the road capacity value obtained by the service level of 0.89 entering category E while in the east direction with a traffic volume value of 4974 PCU/hour obtained the degree of saturation value of 0.94. The results of the study show that the level of road service is between (D - E) with a value of 0.85 to 1.00, which means that it is close to road capacity and sluggish speed, high traffic density due to internal barriers and vehicle drivers who experience traffic jams of medium duration.
Household Solid Waste Management (HSWM) Awareness and Applications: A Comparative Study on Urban and Rural Sustainable Practices Clarissa P. D. Castin; Rodrigo D. C. Dalmacio; Celine D. S. Flores; Betina M. M. Lamug; Joshua A. Manuevo
International Journal of Environment, Engineering and Education Vol 4 No 3 (2022)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v4i3.79

Abstract

Solid Waste Management has been a problem for rural and urban communities. The study aims to provide a basis for urban and rural communities to improve their awareness, attitudes, and practices on solid waste management at a household level and collaborate with local government units toward effective Household Solid Waste Management (HSWM) implementation, ordinances, and mitigation. A 30-item close-ended assessment with 5-item follow-up questions was constructed to determine and compare the level of awareness, attitudes, and practices on HSWM between Barangay Bignay, Valenzuela (urban group), and Barangay Santa Elena, Hagonoy (rural group). The data was analyzed using One Way Analysis of Variance (ANOVA) to know the significant relationship between the bases (i.e., awareness, attitudes, and practices) in both barangays. Findings showed that the awareness of HSWM, practices, and attitude was high in the urban area, having a p-value of 0.003474, a lesser p-value than in rural with 0.007341. The comparisons analyzed using ANOVA reflecting a p-value of 0.96 concluded that there is a significant difference between the bases on the two groups since it is greater than the 0.50 level of significance. The bases were determined to have a positive relationship and thus directly affect the respondents' applications on HSWM and their communities. The LGUs implement an SWM program but still needs improvement as these contradict the measured practices. The study suggests a stricter implementation and orientation for both barangays on solid management programs.
Physico-Chemical and Heavy Metal Valences Reduction of Wastewater from The Beverage Industry by Fungi (Penicillium Sp) Kola Ahmad Lawal; Adeyinka Adekanmi Abideen; Ibraheem Kehinde Lawal; Oluwafemi Akinkunmi Owolabi; Kafayat Funmi Bamidele; Micheal Ajewole Oluwagbemiga
International Journal of Environment, Engineering and Education Vol 4 No 3 (2022)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v4i3.84

Abstract

This work aimed to characterize beverage wastewater generated in the beverage industry and to assess wastewater treatment plant performance by fungi (Penicillium sp.) and the feasibility of wastewater reuse. Freshly discharged beverage wastewater was collected and analyzed for the physicochemical parameters such as Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Dissolved Solid (TDS), Nitrate, Phosphate, Magnesium, Calcium, Iron, Copper, and Zinc by standard methods. At a 7-day interval, 190ml of the sterilized local dye wastewater was inoculated with Penicillium sp. for two weeks, and the physicochemical parameters were determined. The results observed for raw, bio-treated and removal efficiency showed: BOD (280 mg-1, 255 mg-1 , 108 mg-1 and 19.64 %, 61.43 %); COD (540 mg-1, 420 mg-1, 285 mg-1 and 43.75%, 88.13%); Nitrate (130 mg-1, 90 mg-1, 25 mg-1 and 30.77%, 80.77%); Phosphate (48 mg-1, 25 mg-1, 5 mg-1 and 30.91%, 78.18%); Calcium (55 mg-1, 38 mg-1, 12 mg-1 and 30.91%, 78.18%); Iron (29 mg-1, 18 mg-1, 07 mg-1 and 37.93 %, 75.86 %); Copper (0.09 mg-1, 0.07 mg-1, 0.02 mg-1 and 22.22 %, 77.78 %); Zinc (0.08, 0.06, 0.03 mg-1 and 22.5%). Fungi (Penicillium sp.) demonstrated the ability to remove pollutants and other wastes from beverage wastewater. These results indicate that some companies employing treatment methods for their effluents do not remove the parameters and heavy metals.

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