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Journal of Environmental Engineering & Waste Management
Published by President University
ISSN : 25279629     EISSN : 25486675     DOI : -
Core Subject : Science, Social, Engineering,
Chemical Engineering, Chemistry & Bioengineering Energy Engineering Environmental Science
ournal of Environmental Engineering & Waste Management (JENV) is a journal about various fundamental or applied current problems / issues related to the fields of engineering and environmental management and waste management with the frequency of publishing twice a year in April and October. Feasibility of publication is considered by the reviewer with a double blind review based on scientific authenticity and validity.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol 6, No 1 (2021)" : 5 Documents clear
Waste Reduction Potential in SAMTAMA Program Implementation (Study Case: RT 10/RW 03 Cempaka Putih Timur) Yemima Marnalita Hasibuan; Filson Maratur Sidjabat
Journal of Environmental Engineering and Waste Management Vol 6, No 1 (2021)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jenv.v5i2.1276

Abstract

Waste is one of the big problems often faced by metropolitan cities like DKI Jakarta. The Jakarta Environment Agency's research stated that DKI Jakarta produces 7500-tons of waste per day with 60.5% coming from residential. Therefore, the DKI Jakarta government initiated the Sampah Tanggung Jawab Bersama (SAMTAMA) to mobilize residential people to manage waste from its source at certain locations as a pilot, one of locations is RT 10 / RW 03 Cempaka Putih Timur. RT 10 / RW 03 Cempaka Putih Timur is the RT that is considered optimal in implement the SAMTAMA program. Based on this, the objectives of this study are: (1) to find the existing condition of SAMTAMA program; (2) to measure the waste generation, composition, and reduction potential in the implementation of SAMTAMA program. The method implemented in measuring using SNI 19-3964-1994 which is carried out for 8 consecutive days. Waste composition is classified based on SNI 19-3964-1995, supplemented with components of B3 waste and diapers. The results of the analysis show that the average of waste generation is 14.99 kg/day where the treated waste is 11.36 kg/day and the untreated or residual waste is 3.63 kg/day with the largest composition is food waste with 10.66 kg/day (71%). With SAMTAMA Program implementation, the waste potential reduction can reach 0.019 kg/day/person.
GOING PAPERLESS CONCEPT IMPLEMENTATION AT SENIOR HIGH SCHOOL IN BEKASI, INDONESIA Lintang Meida Sofia; FIya Fauha Umaima; Bruno Rumyaru
Journal of Environmental Engineering and Waste Management Vol 6, No 1 (2021)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jenv.v6i1.1344

Abstract

An important reason for the rise of the paperless learning environment is that society is moving towards a green direction. At the same time, the advancement of technology and how people’s consumption of scarce resources affects digital generation and the understanding of the environment in the future have attracted more and more attention. The objective of this study is to investigate how capable, and available the students are at implementing paperless classrooms with substitutes such as the digital mode in learning activities. This quantitative descriptive research uses 108 participants as a sample through a questionnaire to collect the data. The student from Computer Network Engineering major is considered as the most suitable and related to one of the variables, namely digital literacy, where students more often use technology as learning media and solutions for reducing paper usage. The data were analysed using SPSS v 22. The results of this study found that there are significant influences from Environmental Awareness, digital literacy, and habits as factors in students’ readiness to apply this concept. The coefficient of determination shows that the Environmental Awareness (X1), Digital Literacy (X2), and Habit (X3) effected the Student’s Readiness (Y) to Implement Paperless Concept of 41.3%. The rest, 58.7% will be explained by other factors that will not be discussed in this study.
Development of Multiple Linear Regression Model to Predict COD Concentration based on West Tarum Canal Surface Water Quality Data Julio Putra David; Rijal Hakiki
Journal of Environmental Engineering and Waste Management Vol 6, No 1 (2021)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jenv.v6i1.1416

Abstract

Abstract. COD level indicates the organic matter pollution in water. A predictive analysis, such as Multiple Linear Regression, could be an option to make the COD measurement more effective.  Objectives:This research aims to determine the parameter that can predict COD concentration using correlation analysis and develop a Multiple Linear Regression Model for predictive analysis on COD level in the West Tarum Canal surface water. Method and results: The correlation analysis is done in Microsoft Excel using the Pearson Product Moment Correlation Analysis. The water quality dataset is inputted to the R Studio and made the MLR model. The model is validated using t-Test. The result showed that all models in all intake points are not showing good prediction results, and the predictors showed no effect on the COD level. Conclusion: The Multiple Linear Regression is not a fit tool for predicting the COD in the West Tarum Canal surface water. Abstract[rh1] . COD level indicates the organic matter pollution in water. A predictive analysis, such as Multiple Linear Regression, could be an option to make the COD measurement more effective.  Objectives[rh2] :This research aims to determine the parameter that can predict COD concentration using correlation analysis and develop a Multiple Linear Regression Model for predictive analysis on COD level in the West Tarum Canal surface water. Method and results[rh3] : The correlation analysis is done in Microsoft Excel using the Pearson Product Moment Correlation Analysis. The water quality dataset is inputted to the R Studio and made the MLR model. The model is validated using t-Test. The result showed that all models in all intake points are not showing good prediction results, and the predictors showed no effect on the COD level. Conclusion[rh4] : The Multiple Linear Regression is not a fit tool for predicting the COD in the West Tarum Canal surface water.  
The evaluation of hydraulic parameters in water distribution network using Epanet 2.0 (Case study: Comoro, Zone I, Timor-Leste) Thalia de-Fatima Salsinha Soares
Journal of Environmental Engineering and Waste Management Vol 6, No 1 (2021)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jenv.v6i1.1430

Abstract

Abstract. In Timor-Leste, supplying clean water is the responsibility of Serviço de Água e Saneamento (SAS). The study area is in Zone I, locates in Comoro, Dili. The service area uses groundwater as the water source with two types of reservoirs; rectangular and cylinder. Objectives: This study aims to evaluate the existing condition of the water distribution network (WDN) in Zone I by using the Epanet 2.0 software. The development of the WDN begins with projecting the population with 10-year planning using the Geometric, Arithmetic, and Exponential methods. Method and results: The collection data is through observations in the study area as primary data. Secondary data is collecting SAS data, such as the map of water pipelines, piping data, pump data, reservoir data, and consumers' numbers. Processing data is the use of MS. Excel to calculate the population size, water demand, and identifying the pipelines of Zone I through QGIS. Followed by Epanet 2.0, with WDN data, the result is then evaluated with the Regulation of the Minister of Public Works No. 18 Year 2007 (No.18/PRT/M/2007). Conclusion: The results show that the WDN in Zone I have met the pressure requirement from No.18/PRT/M/2007 with an average flow of 19.57 litres/second. However, velocity still needs improvements since it did not meet the criteria; it suggests adding pump stations and reservoirs where the velocity did not meet the criteria. For the projection year in 2030, the estimated population is 26,057, with an average daily total water requirement of 48.46 litres/second.
Optimization of Coagulation and Flocculation in Concrete Wastewater of Precast Industry Ni Iluh Permata Ariase; Temmy Wikaningrum
Journal of Environmental Engineering and Waste Management Vol 6, No 1 (2021)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jenv.v6i1.1422

Abstract

Abstract. The population increase until the end of 2019 reached 267 million. This is in line with developments that support activities. This is inseparable from the actions of one of the precast concrete companies PT.WB Precast Plant Karawang in supporting development that produces waste in the form of wastewater. The parameter measured as a reference in carrying out processing is the Minister of Health Regulation Number 32 of 2017. This study's method refers to turbidity as a physical parameter, namely 25NTU and hardness total as a chemical parameter, which is 500 mg / l. CaCO3. Objectives: The purpose of this study was to determine the optimization of the use of PAC as a coagulant and flocculant to reduce the turbidity and total hardness and determine the optimum detention time of flocculation. Method and results: The sampling method in this study is observation. The population in this study is concrete wastewater with parameter values that are not in accordance with the standard.  Conclusion: By using PAC 10% the optimum doses is 140 ppm, and the optimum detention time of flocculation is 5 minute that can reduce the turbidity from 275 NTU to be 11.615 NTU or 95.7% and can reduce total hardness from 948.75 mg/l CaCO3 to be 491.25 mg/l CaCO3 or 48.2%.

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