IPTEK Journal of Proceedings Series
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Identifying the Influential Factors in the Change of Residential to Commercial Areas: a Case Study in Rungkut Madya, Surabaya
The development of road transport that increased on Jalan Rungkut madya in a few years has made A positive impact on an area in terms of the economy. However, the negative impact of that development is to make the changing function of land use to be a commercial area that disrupt the function. The changes in the area function unconsciously impact the changes in the city's design elements on which influences the quality of a design of the city. To find out what factors that affect the change of a function area is indispensable in becoming a reference in designing a good commercial area. The paradigm in this study uses the post-positivist paradigm, where this paradigm is a qualitative method that uses a scientific approach, the strategy used is combined strategy between quantitative and case studies. The primary Data used in this study came from observations and questionnaires. The results in this study included identifying influential factors in the change of residential functions into commercial areas
Analyze the Polishing Process Unit Dynamics in PT. SIPL Using Artificial Neural Networks
The wastewater treatment plant in the industry aims to reduce hazardous high concentrations of industrial products waste to the environment by using biological processes. In biological waste treatment, the role of micro biological conditions is very important to produce effluent results in accordance to government regulations. Utilization of automation technology in wastewater treatment plants to improve the ability of operators to monitor and operate the waste treatment process optimally. With technology of polishing unit artificial neural network (ANN) modeling to obtain the accuracy of wastewater quality index prediction. This study aims to analyze the dynamics of the polishing unit process in PT. SIPL through a simulation of polishing unit process dynamics model by using artificial neural networks. The dynamics analysis results of the polishing unit from artificial neural network is similar with the dynamics of actual polishing unit process. The error between dynamics analysis of polishing unit modeling by artificial neural network and data of polishing unit actual is very small. Therefore modeling with artificial neural networks for polishing unit can be used to describe the actual polishing unit
REBA: An Ergonomics Assessment for Machine Operator of Porang (Amorphophallus Muelleri)
This Rapid Entire Body Assessment (REBA) has been applied for assessing operator of porang cutting machine in agriculture/forestry. An ergonomic team, industrial engineering, mechanical engineering, chemical engineering and business statisticians test the porang (amorphophallus muelleri) cutting machine and collect individually data more than 10 examples of postures to produce a new evaluation that combines dynamic and static posture loading factors, human load interfaces (couplings), and new limb concepts the assisted gravity. position. Initial reliability for inter-observer coding shows hope, but further work is needed to establish the trust for the machinery customer
Quality Improvement of Public Services in Surabaya Radio Frequency Spectrum Monitoring Office with Integration of Service Quality, Important Performance Analysis and House of Quality
The purpose of frequency spectrum management is to be effective, efficient, and free interferrence in frequency usage. As a Ministry Technical Unit, Balmon Surabaya has the task to supervise and controll the frequency usage in East Java. In carrying out their duties, there are some user’s complaints about Balmon Surabaya services. Therefore it is necesary to improve the quality of service and to know what service factors affecting the customers satisfaction. Objective of this research is to determine the quality of services and technical response that should be done in accordance with expectations of customers. The services as the object of the research are Radio Station License Distribution, Payment Notification Letter Distribution, and Interferrence of Frequency Report Handling. Measurement of the service is performed using Servqual methode while determining the variable to be improved use Important Performance Analysis. Then, Quality Function Deployment is utilized to develop the technical response influencing the service quality. The result shows that the highest gap is providing the free-toll telephone line, the 2nd is mentioning the data/references in giving the informations, and the 3rd is distributing the Payment Notification Letter before the due date. The Importance- Performance Analysis shows that there are 3 variabels in Quadrant I, distributing the Payment Notification Letter before the due date, mentioning the data/refferences in giving the informations, and providing of free-toll telephone line. QFD reveals that there are 3 Technical Responses with highest value of Important Rating of ie., the printing the Payment Notification Letter 2 months before the due date; confirming the letter receipt by the user, and proposing the toll-free numbe
Quality Improvement Program for Colocation Data Center Services Using Quality Function Deployment (QFD)
When a product is launched, it's always been expected by the company that the product is going to be sold out in the market. But, after three years of selling XYZ colocation data center services, the sales of this product still hasn't achieve its target. Therefore, an evaluation is needed to know how costumers value the product in the market and what's needs to be done to improve its value. XYZ Data Center Management has conducted a preliminary analysis through discussion with customers, a comparative study with competitors, and discussion with internet service provider association. It's concluded that there is quality in XYZ Data Center, both in features and services that don't satisfying enough. Further analysis then conducted with Quality Function Deployment or QFD as a research method. The reason behind the use of QFD is because of its ability to identify what customers want, and translate it into the company's need in terms of technical responses. The result obtained from this research is the attributes that customers need and the technical responses required to answer it. Examples of attributes are the availability of the working room, the availability of site visit procedure, the accuracy of time needed for installation, etc. And for technical response, the examples are making a portal for trouble handle monitoring in integration with a call center, an improvement on IT Hall layout building a portal for installation monitoring, etc
Heat Exchanger Network Optimization in A Natural Gas Dehydration Unit
A dehydration unit using triethylene glycol absorption is a common process in natural gas processing. In its regeneration section, the regenerated lean glycol needs to be cooled before entering the glycol absorber, while the rich glycol is to be preheated before entering the regenerator. This is a good candidate for heat exchanger network (HEN) optimization. In this work, the HEN was revisited using pinch analysis (PA) and mathematical programming (MP) using superstructure. The optimized networks were evaluated using simplified total annual cost (TAC). The PA method using small Tmin (minimum temperature approach) led to the configuration of three exchangers, a heater and a cooler, with minimized utilities. At larger Tmin, the configuration became into two exchangers, two heaters, and a cooler. The minimum calculated TAC is 59,224/year. The superstructure approach resulted in two exchangers, a heater, and a cooler; with a calculated minimum TAC of $57,597/year. The two approaches have resulted in very similar minimized TAC
Performance Optimization of Gas Turbine Generator Based on Operating Conditions Using ANN-GA at Saka Indonesia Pangkah Ltd
A Gas Turbine is a rotary engine that extracts energy from a flow combustion gas. The reliability and efficiency of gas turbines are one of the top priorities at Saka Indonesia Pangkah Ltd (SIPL). In order to optimize the operating conditions of a gas turbine, three components are needed. First is the problem formulation which consists of objective functions, problem boundaries or constraints, and determination of optimized variables. The second component is a valid model, which represents the characteristics of a gas turbine installed in SIPL. The third component is the optimization technique that is suitable with the optimization problem that will be solved. In this paper, the objective function is maximizing gas turbine efficiency, some operational limitation as constrains by manipulating air to fuel ratio. The model was developed using Artificial Neural Network (ANN) and Genetic Algorithm (GA) was selected as the stochastic optimization technique to solve the problem. The neural network model created directly using the operational data from an actual parameter gas turbine generator. The data needed for ANN-based modeling is around 8150 data sets that will be used to train and validate the ANN model. Variable data sets were divided in two parts, for training purposes is 87.5% and for validation is 12.5%. Weight management for neural networks was carried out using Levenberg-Marquardt algorithm which could give good results with RMSE = 7.3 X 10-3. From the results of the stochastic optimization (GA) simulation, the potential reduction of fuel gas consumption is around 280.8 kg/hr if the air mass flow can be increased from 2.4 kg/s to 2.7 kg/s or efficiency increase up to 10.6%
Preparing Future Skills and Professional Communication Skills
Some literature studies showed that to get a better career in the contemporary work environment, students need to develop critical thinking skills, problem solving, emotional intelligence, teamwork, and communication. There is, however, in fact a doubt that educational institutions do not sufficiently provide the needed skills to cope with work competition. While World Economic Forum 2020 indicated about 15 skills that have increasing demand in workplace, educational institutions show slow responses toward the demand which means that students might obtain these skills in the context of non-academic learning process. Some of these skills such as critical thinking analysis, complex problems solving, and analytical thinking and innovation has become the prerequisite skills for the today career. Thus, students need to prepare themselves by increasing the knowledge and skills needed in the future. In virtue of the work demands, educational institutions need to design their curriculum in accordance with the work environment as to be able in bridging a transition from school to work environment
Politician’s Strategy After The Pandemic: Strengthening of Patronage Goods in The Form of Social Assistance
This research describes and analyzes the strategies of politicians to attract voter support in electoral politics by providing patronage goods or club goods. The study of this strategy is increasingly relevant considering the Covid-19 pandemic that has emphasized to political actors the importance of social assistance (in Indonesian: bansos,etc.). In some areas, especially those with a flow-political landscape in the form of strong links between parties and social and religious organizations, it shows that local politicians are cooperating with organizations that share a platform with parties to distribute social assistance. However, this research confirms the academics' opinion, such as Edward Aspinall, who believe that giving from politicians with the motive of gaining mass support for party interests, and of course electoral politics, can be said to be an affirmation of patronage democracy. Through comparative analysis with several cases of social assistance distribution that have existed, this study strengthens the main thesis about patronage items as a binding of loyalty between the mass of voters whose numbers are very beneficial for parties and party politicians
Simulation Validation for Thermal Performance of Building Envelope Material in Humid Tropical Higland Climate
Modeling and simulation using computer software are very important in supporting various types of research based on data calculations. In the research process, accuracy is needed between the simulation results and the results of field measurements. Thus, there is no significant difference between the two results. This study aims to verify and validate the result of field measurements and simulation using the ARCHIPAK 5.1 software. The variables studied focus on indoor air temperature and humidity. This research takes a case study in the village of Ranupane which is located within the Bromo Tengger Semeru National Park. There are 4 housing buildings measured which consist of two types of houses using fireplaces and two types of houses without fireplaces. All of the four houses are afterward modeled using the ARCHIPAK 5.1 software to validate the data results. From the measurement results, the field measurement data show a higher hourly temperature profile compared to the results of the simulation of the base case model. Two striking differences are the type of house without a fireplace which is showing the difference in the average temperature of 1-2 K. While the type of house using fireplace shows the difference average temperature of 5,2-5,3 K. This occurs due to the internal heat gain input which the value is a slight difference between the result of field measurements and simulation of the base case model. This data verification and validation will be used as modeling optimal building configuration for housing in a humid tropical highland climate