President University Journal
http://repository.president.ac.id/xmlui/handle/123456789/3340
2024-03-29T11:04:22ZLEARNING ORGANIZATION 2.0: AN EMPIRICAL STUDY OF CONTEXTUAL ADAPTATION IN PT MMI PURWAKARTA
http://repository.president.ac.id/xmlui/handle/123456789/10650
LEARNING ORGANIZATION 2.0: AN EMPIRICAL STUDY OF CONTEXTUAL ADAPTATION IN PT MMI PURWAKARTA
Nurhidayat, Imam; Arquisola, Maria Jacinta
Business rapid development with technology advancement urges enterprises to create a sustainable competitive advantage. Being a Learning Organization (LO) becomes favorable, yet cultural backgrounds and the need to adapt with open innovation urge an adapted LO 2.0. This paper aims to study the application in Indonesia’s industrial context, the underlying factors, and obstacles in a manufacturing plant at PT MMI. The preliminary study interview involved four strategic managers, followed by an empirical study surveying the 130 employees using the adapted Learning Organization Questionnaire (LOQ). The analysis used descriptive statistics and a Confirmatory Factor Analysis (CFA). Its findings suggest that PT MMI successfully enhances the practice of LO 2.0 on its contextualized adapted approach such as an innovative environment, effective information sharing, enhancing employee empowerment, supporting employees’ self-development/ mastery, and becoming a facilitative leader with a multi-stakeholder approach. Nevertheless, some factors with marginal mean scores on each dimension risk destabilizing the long-term learning practice in PT MMI, which the leaders should consider improving and strengthening.
2022-03-01T00:00:00ZOPTIMIZATION OF COAGULATION AND FLOCCULATION IN CONCRETE WASTEWATER OF PRECAST INDUSTRY
http://repository.president.ac.id/xmlui/handle/123456789/3815
OPTIMIZATION OF COAGULATION AND FLOCCULATION IN CONCRETE WASTEWATER OF PRECAST INDUSTRY
Ariase, Ni Iluh Permata; Temmy Wikaningrum
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%.
JOURNAL OF ENVIRONMENTAL ENGINEERING AND WASTE MANAGEMENT; VOL 6, NO.1 (2021), p. 58-70.
2021-01-01T00:00:00ZTHE EVALUATION OF HYDRAULIC PARAMETERS IN WATER DISTRIBUTION NETWORK USING EPANET 2.0 (CASE STUDY: COMORO, ZONE I, TIMOR-LESTE)
http://repository.president.ac.id/xmlui/handle/123456789/3814
THE EVALUATION OF HYDRAULIC PARAMETERS IN WATER DISTRIBUTION NETWORK USING EPANET 2.0 (CASE STUDY: COMORO, ZONE I, TIMOR-LESTE)
Soares, Thalia de-Fatima Salsinha
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.
JOURNAL OF ENVIRONMENTAL ENGINEERING AND WASTE MANAGEMENT; VOL 6, NO.1 (2021), p. 38-57.
2021-01-01T00:00:00ZDEVELOPMENT OF MULTIPLE LINEAR REGRESSION MODEL TO PREDICT COD CONCENTRATION BASED ON WEST TARUM CANAL SURFACE WATER QUALITY DATA
http://repository.president.ac.id/xmlui/handle/123456789/3813
DEVELOPMENT OF MULTIPLE LINEAR REGRESSION MODEL TO PREDICT COD CONCENTRATION BASED ON WEST TARUM CANAL SURFACE WATER QUALITY DATA
David, Julio Putra; Rijal Hakiki
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.
JOURNAL OF ENVIRONMENTAL ENGINEERING AND WASTE MANAGEMENT; VOL 6, NO.1 (2021), p. 27-37.
2021-01-01T00:00:00Z