ANALISIS KUALITAS DAYA LISTRIK DI PABRIK GULA TRANGKIL PATI DENGAN MENGGUNAKAN SOFTWARE ETAP 12.6

Power quality is very important thing in the Sugar Factory of Trangkil Pati. In the development of electricity in the Sugar Factory of Trangkil Pati, the power quality is decrease. The power quality problems is caused by the reduction of the power factor and harmonic distortion. Then, electric power quality analysis is done to solve the problems of decrease the power factor and harmonic distortion in the Sugar Factory of Trangkil Pati. The method used by modeling the electrical system on the Sugar Factory of Trangkil Pati using software ETAP 12.6. The simulation results of ETAP 12.6 software will be analyzed and used to determine the solution of power quality problems. Based on the simulation results it is needed to improve the power factor and to install harmonic filter at electrical system in the Sugar Factory of Trangkil Pati. Results of power factor by using capacitor banks is raising the effectiveness of electric power generated. The voltage drop also can be reduced from marginal condition becomes normal conditions. The installation of a harmonic filter can reduce harmonic distortion value on bus 36 and bus 49. On the bus 36 THDi value decreased by 27.01% from 43.76% to 16.75%, while THDv value decreased by 3.89% from 5.14% to 1.25%. For bus 49 THDi value decreased by 23.51% from 32.92% to 9.41%, while THDv value decreased by 3.76% from 4.81% to 1.05%

Desain Vertical Pressure Vessel Tipe Heater Treater dengan Skirt Support pada Pengolahan Minyak dan Gas

Drilling new oil wells requires separator equipment as a separator between oil, water and gas in order to become quality oil products. It is necessary to design a vertical heater treater type separator that considers internal pressure, external pressure, Maximum Allowable Working Pressure (MAWP), calculations of wind loads and earthquake loads. To review the design results against the standards used (ASME SEC VIII Div 1, ASCE 7), modeling and simulation are also carried out using software. Based on the results of manual calculations, the required thickness value for the top head, shell and bottom head is 0.289 inch. Meanwhile, from software analysis, the required thickness value is 0.274 inch for top head, 0.280 inch for shell and 0.279 inch for top head. The maximum deflection value of heater tretaer is 0.063 inch for manual calculation and 0.096 inch for analysis from software. The maximum stress value is 7683.3 psi which occurs on the skirt heater treater

Hedonic Values And Utilitarian Values As Predicators Of Social Media Participation

This research proposes a model to investigate the behavior of posting articles and the continued use of social media via Babin’s value perspective. The antecedents of values are web quality and users’ emotions. The model was tested with PLS-Graph software based on its structural equation modeling approach. Data was gained from 310 users. The results revealed that antecedents have a strong impact on user values, which in turn influences users’ intention to post articles and continue to use social media. Several implications for research and practice have been derived from these findings

USE OF VIRTUAL LEARNING ENVIRONMENTS: A THEORETICAL MODEL USING DECOMPOSED EXPECTANCY DISCONFIRMATION THEORY

The present study aims to investigate the determinants of satisfaction and the resulting continuance intention in the e-learning context. The constructs of decomposed expectancy disconfirmation theory (DEDT) are evaluated from the perspective of users of a virtual learning environment (VLE) in relation to expectations and perceived performance. An online survey collected responses from 197 students of a public management distance learning course. Structural equation modeling was operationalized by the method of partial least squares in Smart PLS software. The results showed that there is a relationship between quality, usability, value and value disconfirmation with satisfaction. Likewise, satisfaction proved to be decisive for continuance intention. However, there were no significant relationships between quality disconfirmation and usability disconfirmation with satisfaction. Based on the results, it is discussed the theoretical and practical implications of the structural model found by the research

Analisis Simulasi Perubahan Konsentrasi Klorin dalam Pipa Distribusi Penyediaan Air Minum Pdam Demak Zona 3

As drinking water quality monitoring as required by the Regulation of the Minister of Health and give an idea or information about the quality of drinking water distributed in pipes can be approached by analyzing the water age and changes in the concentration of chlorine in drinking water distribution pipes. The approach is based on research done by simulation or modeling water quality in drinking water supply pipes with the help of software modeling water quality and direct observations in the field. With limited time and costs, from four existing zones in Demak PDAMs, research is only done at one zone, it was a drinking water distribution piping network in Zone 3 which has the longest pipeline compared to other zones. Water age does not affect the water turbidity levels in the water distribution pipes, but rather influenced by hydraulics flow and turbidity own constituent factors. Likewise, the level of turbidity does not affect the concentration of chlorine in drinking water distribution pipes. While the concentration of chlorine in drinking water distribution pipes is influenced by the water age and the distance of water from the reservoiras well asthe value ofthe bulk reaction rate forthe decay ofthe concentration of chlorinein thewater(k). The value of kinthiscase studyis-9.716mg/l/day which is adecayequationlinearizedline gradientof water formedarelationshipgraph of time (water age) to the concentration ofchlorine in that time

Use of habitat suitability modeling in the integrated urban water system modeling of the Drava River (Varazdin, Croatia)

The development of practical tools for providing accurate ecological assessment of rivers and species conditions is necessary to preserve habitats and species, stop degradation and restore water quality. An understanding of the causal mechanisms and processes that affect the ecological water quality and shape macroinvertebrate communities at a local scale has important implications for conservation management and river restoration. This study used the integration of wastewater treatment, river water quality and ecological assessment models to study the effect of upgrading a wastewater treatment plant (WWTP) and their ecological effects for the receiving river. The WWTP and the water quality and quantity of the Drava river in Croatia were modelled in the software WEST. For the ecological modeling, the approach followed was to build habitat suitability and ecological assessment models based on classification trees. This technique allows predicting the biological water quality in terms of the occurrence of macroinvertebrates and the river status according to ecological water quality indices. The ecological models developed were satisfactory, and showed a good predictive performance and good discrimination capacity. Using the integrated ecological model for the Drava river, three scenarios were run and evaluated. The scenario assessment showed that it is necessary an integrated approach for the water management of the Drava river, which considers an upgrading of the WWTP with Nitrogen and Phosphorous removal and the treatment of other diffuse pollution and point sources (including the overflow of the WWTP). Additionally, if an increase in the minimum instream flow after the dams is considered, a higher dilution capacity and a higher self-cleaning capability could be obtained. The results proved that integrated models like the one presented here have an added value for decision support in water management. This kind of integrated approach is useful to get insight in aquatic ecosystems, for assessing investments in sanitation infrastructure of urban wastewater systems considering both, the fulfilling of legal physical chemical emission limits and the ecological state of the receiving waters

Models, Techniques, and Metrics for Managing Risk in Software Engineering

The field of Software Engineering (SE) is the study of systematic and quantifiable approaches to software development, operation, and maintenance. This thesis presents a set of scalable and easily implemented techniques for quantifying and mitigating risks associated with the SE process. The thesis comprises six papers corresponding to SE knowledge areas such as software requirements, testing, and management. The techniques for risk management are drawn from stochastic modeling and operational research. The first two papers relate to software testing and maintenance. The first paper describes and validates novel iterative-unfolding technique for filtering a set of execution traces relevant to a specific task. The second paper analyzes and validates the applicability of some entropy measures to the trace classification described in the previous paper. The techniques in these two papers can speed up problem determination of defects encountered by customers, leading to improved organizational response and thus increased customer satisfaction and to easing of resource constraints. The third and fourth papers are applicable to maintenance, overall software quality and SE management. The third paper uses Extreme Value Theory and Queuing Theory tools to derive and validate metrics based on defect rediscovery data. The metrics can aid the allocation of resources to service and maintenance teams, highlight gaps in quality assurance processes, and help assess the risk of using a given software product. The fourth paper characterizes and validates a technique for automatic selection and prioritization of a minimal set of customers for profiling. The minimal set is obtained using Binary Integer Programming and prioritized using a greedy heuristic. Profiling the resulting customer set leads to enhanced comprehension of user behaviour, leading to improved test specifications and clearer quality assurance policies, hence reducing risks associated with unsatisfactory product quality. The fifth and sixth papers pertain to software requirements. The fifth paper both models the relation between requirements and their underlying assumptions and measures the risk associated with failure of the assumptions using Boolean networks and stochastic modeling. The sixth paper models the risk associated with injection of requirements late in development cycle with the help of stochastic processes

AERMOD Modeling Analysis of CO And Nox Parameters From Diesel Generator Emission Sources in the Coal Mining Industry

Regulation of the Minister of Environment and Forestry of the Republic of Indonesia No. 4 of 2021: All types of businesses and activities must manage environmental impacts. Emissions resulting from the use of heavy equipment in the operational activities of the coal mining industry, such as scrapers, dump trucks, loaders, excavators and bulldozers. In addition to heavy equipment, exhaust emissions are generated from the use of generators that operate longer than 1,000 hours per year. The resulting emissions will have a long-term impact on air quality around business activities [1]. In an effort to tackle the spread of air pollution, modeling is carried out which aims to analyze emission air dispersion patterns by measuring exhaust emissions with Nitrogen Dioxide (NOx) and Carbon Monoxide (CO) test parameters in industrial activity areas with AERMOD applications and can predict emission air dispersion patterns dispersed into the air based on the distance and concentration of particles. One of the models used is the Gaussian Plume Model. Modeling is done by processing data from the meteorological section with AERMOD software, which will then provide a distribution pattern with a distribution pattern that is close to the true value [2]. Modeling is carried out with a radius of 5,000 meters and data from emission measurements from the power generation unit. Based on the modeling results, the CO parameter emission dispersion obtained the highest value in February with a value of 30.4 µq/m3 and the lowest value in March with a value of 3.43 µq/m3. As for the NOx parameter, the highest dispersion value was in June at 6.21 µq/m3, and the lowest value was in January at 3.51 µq/m3. This research was conducted in March 2023. It is located on the project site of the Coal Mining Industry area with a mining business permit (IUP) area of 2936.14 ha in Mekar Jadi Village, Sungai Lilin District, Musi Banyuasin Regency, South Sumatra Province

The effect of E-Service Quality, E-Trust, Price and Brand Image Towards E-Satisfaction and Its Impact on E-Loyalty of Traveloka's Customer

This study aims to analyze the effect of E-Service Quality, E-Trust, Price, Brand Image to the E-Satisfaction, and E-Loyalty of Online Travel Agent Traveloka. This research method uses a quantitative approach with a survey method with Structural Equation Modeling (SEM) analysis techniques from the AMOS Version 22 statistical software package. Variable measurements were carried out using questionnaires using Likert model scoring. The sampling technique used is the Non-Probability Sampling method, the saturated sample technique (Census) totaling 182 respondents or equal to the population. The results of the analysis show that each variable (E-Service Quality, E-Trust, Price, Brand Image) has a positive and real effect to the E-Satisfaction and E-Loyalty to Online Travel Agent Traveloka with Critical Ratio (CR)> 1.96 (Critical value for degrees 95% confidence), probability value (p) <0.05 and regression coefficient value> 0.00 (Positive). Based on the results of the study concluded that E-Service Quality, E-Trust, Price, and Brand Image have a positive effect on E-Satisfaction and also on E-Loyalty. Traveloka site provided the best E-Service Quality; Traveloka also provides a high-security system to promote the Traveloka site. Traveloka's website runs a competitive price strategy by offering attractive promos to its customers; besides that, Traveloka also collaborates with banks to provide attractive promo offers. Traveloka's Brand Image has represented the overall perception of the brand and was formed from the information and experience of the brand

Methods for in-line diagnostics of in-field pipelines during subsea production with application(s)

This thesis serves as a comprehensive study incorporating smart pigging technology and software modeling applications for flow assurance purposes, with a special emphasis on subsea pipelines. In the modeling chapters, OLGA and PVTSim software packages were used to build a model of a hypothetical subsea pipeline, which is based on the example of the Kirinskoye gas condensate field. The constructed dynamic model addresses several crucial aspects of pipeline flow assurance, namely: 1) Hydrate formation zones within a pipeline: their location diagnostics and mitigation via continuous inhibitor injection; 2) Estimation of the required slugcatcher unit’s capacity for liquid collection and water disposal. As a result of the simulations and their analysis, the following goals were achieved: 1) The hydrate formation zone within the pipeline is located and the optimal solution to mitigate the issue is proposed and justified based on the multiple hydrate formation simulations’ results. The environmental effect of the solution for the hydrate problem mitigation is also taken into account, and the minimization of its ecological imprint is justified. 2) Liquid surge volumes for the cases of stabilized operational conditions and pig run are modeled in relation to the two project-proposed flow values within the pipeline: 2,64·106 m3/day and 3,5·106 m3/day, respectively. All of the cases modeled are proven to lie within the slugcatcher’s liquid receiving capacity. The optimal value of flow for the system is proposed and justified. 3) Pig run velocities for both flow value cases considered are calculated. It is concluded that in both pig runs an intelligent pig of any physical measurement principle considered in the thesis can be implemented without a reduction in the quality of measurements