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Abdul Hafid Hasim
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INDONESIA
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 104 Documents
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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.
Analysis of Glycerol in Nipa (Nypa fruticans Wurmb.) Kernel Extract (NKE) with High-Performance Liquid Chromatography (HPLC) Method Mario Dario L. Berdolaga Jr.
International Journal of Environment, Engineering and Education Vol 4 No 2 (2022)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v4i2.80

Abstract

The quantification of glycerol reveals application areas in research as well as industrial prospects for supplies of biodiesel. Although petroleum and fossil fuels are not sustainable sources of energy, these fuels are on the verge of being exhausted. The study aims to establish a novel, calibrated, simple, and accurate analysis of the glycerol content using High-Performance Liquid Chromatography (HPLC) method. The quantification of glycerol from Nipa Kernel Extract (NKE) using the HPLC method resulted from a 4.06% concentration using hydrolysis reaction with methanol and KOH catalyst. The pure and hydrolyzed NKE were monitored using isocratic elution with Hydrophilic-Interaction Chromatography (HPLC-HILIC). The chromatograms extracted from the LC were analyzed and validated and showed good performance in terms of linearity as implicated (R^2=0.9928), repeatability (%RSD range from 2.6758% and 16.6130%), intermediate precision (p-value (0.00119) <α), the limit of detection 0.0001458% (w/w), the limit of quantification 0.0004182% (w/w), and accuracy (76.7105% to 82.8505%) of hydrolyzed Nipa Kernel Extract (NKE). The results produced from the employed approach are sufficient for determining the concentration of glycerol, and the method itself can serve as an alternate way to conduct chemical analysis. Additional research revealed that the contaminants and free fatty acids connected to glycerol absorbed the same absorbance units. It is anticipated that the investigation and identification will include quantifying the concentration of other unknown compounds found in the matrix.
Evaluation in Assessment of Student Competence: Application of the Indonesian Student Competency Assessment (AKSI) in Elementary Schools Mustari S. Lamada; Sanatang Sanatang; Aulyah Zakilah Ifani; Dwi Hastuti Hidayat
International Journal of Environment, Engineering and Education Vol 4 No 2 (2022)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v4i2.81

Abstract

The purpose of the study was to determine the application of the Indonesian Student Competency Assessment application at the elementary school level, to determine the readiness of teachers, to find out the ease of guidance and the suitability of literacy and numeracy learning modules with assessment questions, and to find out the obstacles experienced by teachers during the process of using the Application of Indonesian Student Competency Assessment (AKSI) application using a purposive sampling technique. Data collection using questionnaires and documentation. Data analysis in this study used descriptive statistics. The results showed that the application of the Indonesian Student Competency Assessment application at the elementary school level in, Takalar Regency had been implemented well. Research with sub-variables of the application of the Indonesian Student Competency Assessment application at three elementary schools for students obtained data showing 44.70% were in a good category. The readiness of teachers to apply the AKSI application obtained data that 84.80% were in the ready and very ready category and the very ready category was balanced with the ready category. The ease of guidance and the suitability of the literacy and numeracy learning modules with the assessment questions provided by the AKSI application for teachers obtained data that showed 39.00% were in the very good category. Obstacles experienced by teachers during the process of using the AKSI application, data showed that 35.70% were in the high category
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.
The Implementation of the Mangrove Quality Index: A Way to Overcome Overestimation and Classification Concerns in Detecting Mangrove Forest Cover W. T. S. Harshana; M. D. K. L. Gunathilaka
International Journal of Environment, Engineering and Education Vol 5 No 1 (2023)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v5i1.85

Abstract

The increasing applications of Geographic Information Systems (GIS) and Remote Sensing (RS) for mapping, predicting, and monitoring are practical for sustainable mangrove ecosystem management. This study evaluated various geospatial techniques for detecting healthy mangroves on the eastern coast of Sri Lanka, including single spectral indices, supervised/unsupervised classification, and developed methods using Landsat data. The use of medium-resolution satellite data and the uniqueness of the mangrove ecosystem are generally involved in discriminating healthy mangroves from non-mangrove areas. This study focused on detecting degraded narrow patches of mangroves on the Eastern coast of Sri Lanka using Landsat 8 remote sensing data and five vegetation indices. The accuracy of the results was assessed using randomly generated points. The study used ArcGIS Desktop software for processing, analyzing, and integrating spatial data to meet the research objectives. The mangroves were detected using Landsat 8 OLI satellite images from 2018 and 2021. The results showed high overestimation/underestimation and misclassification of mangroves, thus applying Mangrove Quality Index (MQI). Findings of MQI provide insights into overall mangrove health and identify three degradation classes of mangroves on the Eastern coast of Sri Lanka. The application of MQI in well-developed and degraded mangrove ecosystems merits further investigations, which provide reliable information for conservation priorities.
The SAVI Learning Model and the 21st Century Skills: Developing Critical Thinking, Collaboration, and Creativity in Students Vocational High School Taufiq Natsir; A. Ramli Rasyid; Samuel Akpan Bassey
International Journal of Environment, Engineering and Education Vol 5 No 1 (2023)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v5i1.96

Abstract

The use of the SAVI learning model offers a more effective alternative in improving student learning outcomes by understanding individual learning preferences and providing learning strategies that follow the objectives of this study, namely to evaluate the use of the SAVI learning model for vocational high school students. The research approach used in this study is quantitative, using numbers and statistical analysis. The research design used was pre-experimental in a one-group pretest-posttest design. The present research study focused on the student population enrolled in vocational high schools in Makassar, Indonesia. Purposive sampling was used to select the most suitable sample for achieving the research objectives. The sample size consisted of 30 students, 25 of whom were male and five females. The SPSS Program enters data, performs statistical analysis, and visualizes the research results. The hypothesis test is tested at a significance level of 5% or 0.05. The results of testing the hypothesis using the SPSS application with the paired sample t-test data analysis technique obtained a significance of 0.000 where 0.000 < 0.05, which means that H0 is rejected and H1 is accepted. The analysis results prove that student learning outcomes (post-test) have increased compared to (pre-test). The SAVI learning model is more efficacious than traditional learning approaches, as it affords students a more engaging, enjoyable, and enduring educational encounter. It can serve as a pragmatic substitute for enhancing the caliber of education and students' academic achievements.
Complexities of Water Pollution: A Review of Surface Water Contamination in Sri Lanka M. W. R. Nuwanka; M. D. K. L. Gunathilaka
International Journal of Environment, Engineering and Education Vol 5 No 2 (2023)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v5i2.97

Abstract

Water is indispensable for sustaining life, food production, economic growth, and well-being. However, the growing population and industrialization have intensified the demand for freshwater, posing significant challenges to water resources in Sri Lanka. This review paper focuses on understanding the types and causes of water pollution, with a particular emphasis on surface water pollution, as well as exploring preventive measures in the context of Sri Lanka. Given its severe consequences and the global issue of water scarcity, water pollution has gained attention from researchers, scientists, and organizations. Surface water bodies, such as lakes and rivers, face pollution primarily due to inadequate management of sewage and industrial effluents. Insufficient sanitation facilities in low-income settlements further exacerbate the problem, affecting the country. Despite existing regulations, the lack of monitoring allows improper waste disposal practices to persist. Rural areas experience groundwater contamination from agrochemicals, while urban areas suffer from pollution caused by domestic sewage. Considering the limited resources, prioritizing pollution prevention proves to be a cost-effective approach. Effective control measures are required to address marine pollution, adversely impacting fisheries and tourism. Recognizing the interconnected nature of all types of water pollution is crucial, as they contribute to ecological degradation. To safeguard water resources, several measures must be implemented. These include improving sewage treatment systems, implementing better management practices for industrial effluents, prioritizing pollution prevention strategies, and strengthening monitoring mechanisms. Prioritizing water resource preservation will safeguard ecosystems, support sustainable development, and ensure well-being.
Analysis of Land Surface Temperature Distribution in Response to Land Use Land Cover Change in Agroforestry Dominated Area, Gedeo Zone, Southern Ethiopia Wendwesen Taddesse Sahile; Gashaw Kibret Goshem; Seid Ali Shifaw; Muh. Rais Abidin
International Journal of Environment, Engineering and Education Vol 5 No 1 (2023)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v5i1.98

Abstract

This study examined LST distribution in Ethiopia's agroforestry-dominated Gedeo Zone due to Land Use Land Cover change. For 2005, 2011, 2017, and 2022, 10 m Sentinel 2A and 30 m Landsat images were used to extract and map LST and LULC distribution. The DOS1 method corrected atmospheric errors in all satellite images. LULC change was detected using SVM image classification. The study result revealed that the Agroforestry and Built-up coverage has increased by 1520 sq. km and 2600 sq. km, respectively, from 2005 to 2022. The Bare Land and Farm Land coverage decreased by 1554 sq. km and 2565 sq. km, respectively, in the same period. The LST result has shown that there has been a remarkable variation in the spatial pattern of the LST between 2005 and 2022. The average LST in Agroforestry, Bare Land, Farm Land, and Built-up area has progressively increased over the years, from 19.6°C, 26.0°C, 20.2°C, and 25.58°C in 2005 to 25°C, 32.16°C, 28.23°C, and 30.62 °C in 2022, respectively. While in 2005, the maximum recorded LST did not exceed 37.3°C, by 2022, it had increased by close to 3°C, reaching 40.6°C. The overall result revealed that the average LST in °C has increased from 2005 to 2022. From the result, it was concluded that agroforestry had contributed a lot to LST distribution. LST may not depend on the local LULC change only; other factors like urbanization and global warming could play a significant role in changing LST locally and globally.
Classification of Sentiment Analysis and Community Opinion Modeling Topics for Application of ICT in Government Operations Andi Akram Nur Risal; Fathahillah Fathahillah; Dwi Rezky Anandari Sulaiman
International Journal of Environment, Engineering and Education Vol 5 No 1 (2023)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v5i1.99

Abstract

Utilizing information systems is very useful in the current era. Digitizing administration in the Village is beneficial in the service process to the public. This is seen as a change in service that can make it easier or more difficult for the people of Sanrobone Village to take care of administration at the village office. This study aims to analyze public opinion regarding the use of e-government, predict public opinion regarding the use of e-government, and analyze modeling topics related to the use of e-government. This research applies a text mining algorithm with a sentiment analysis method to see positive, negative, and neutral public perceptions and also uses topic modeling to get the most frequently appearing topics in the data. Stages in this study include Data Collection, Text Pre-processing, Sentiment Analysis, Topic Modelling, Classification, and Evaluation. The results obtained are the ten words that appear most often in the responses of the Village community: easy 122, help 96, village 80, accessed 80, letter 80, permit 77, resident 73, manage 60, service 52, and the person with 52 words. The sentiment analysis is positive, with 411 opinions, 37 negative opinions, and 152 neutral opinions. Finally, the performance of the Nave Bayes algorithm in predicting classification results is excellent, with an accuracy rate of 98 percent.
Modified Tricycles as Public Transport during Tidal Flooding Events: The Case of Tikling in Hagonoy, Bulacan, Philippines Liberty Aimee R. Umali; Imre C. Recto; Rchielein S. Lansangan; Landriel Dane G. Torres; Eleonor R. Basilio
International Journal of Environment, Engineering and Education Vol 5 No 2 (2023)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v5i2.102

Abstract

Public transportation is one of the sectors most affected by high tides in Hagonoy, Bulacan, Philippines. To overcome the challenges posed by these tides, local tricycles, a form of public transportation, have been modified with elevated sidecars and driver's seats that remain above the water level. These modified tricycles are locally known as Tikling. This study aims to identify the perceived risks associated with public transportation, specifically Tikling, during tidal flooding events in selected Barangays in Hagonoy, Bulacan, Philippines. The researchers employed a mixed-method design to gather the necessary information and address the study's objectives. Data were collected from 161 respondents, including 130 passengers, 25 Tikling drivers, and six representatives from local government units and the Municipal Disaster Risk Reduction Management Office. The findings revealed that passengers perceive riding Tikling under different weather conditions, flood levels, and ground clearance to pose moderate risks, as indicated by a mean score of 6.42, and that floods contribute to increased travel time and fare. The recommendations from the local government units include revisiting tariffs to establish accurate travel fees, conducting an Education Information Campaign to raise awareness about the risks associated with traveling, improving the structural quality of Tikling, and promoting coordination between the Pedicab Tricycle Operators and Drivers Associations (PETODA), a local association of tricycle drivers, and the local government office. The study suggests standardizing Tikling to minimize the risks involved. This standardization should address factors such as ground clearance, materials used, and the appropriate design of these modified public vehicles.

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