Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
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Enhanced DV-Hop Algorithm for Energy Efficiency and Network Quality in Wireless Sensor Networks
Get PDFWireless Sensor Networks (WSN) are wireless networks with many sensor nodes covering a relatively large area. One of the weaknesses of WSN is the use of relatively high energy consumption, which affects the quality of network services. Although the WSN network routing using the DV-Hop algorithm is widely used because of its simplicity, improvements need to be made to improve energy efficiency so that the network lifetime is more optimal. This article proposes an enhanced DV-Hop algorithm compared to other algorithms to improve network energy efficiency and quality of service. There are three approaches to improving the DV-Hop algorithm. First, the selection of the CH node is based on the distance to the Base Station so that the selected CH node does not have a long distance from the base station. Second, the selection of CH nodes must have a number of neighbouring nodes above the average of other sensor nodes. Finally, each selected CH node calculates the minimum distance to the previously selected CH node to ensure that the selected CH nodes are not adjacent to each other. The proposed approach obtains better total data packets sent to the base station, energy efficiency, and network age using Matlab simulation software by comparing the enhanced DV-Hop algorithm with the original DV-Hop algorithm and three other routing algorithms
Designing a Smart Inverter for Voltage Sag Compensation Due to Motor Start-up
Get PDFStarting a large induction motor will always follow up with an inrush current as the nature of an induction motor. On a less stiff power system, that inrush current will be causing a Voltage Sag (VS). A big VS can lead to significant disruptions in power quality and reliability. To address this, a Smart Inverter with an Artificial Intelligence (AI) -driven controller installed in a Photovoltaic (PV) farm is proposed for voltage sag recovery. During normal conditions, the PV farm acts as a power source supporting the main grid, but when large induction motors are started, the smart inverter connected to the PV is responsible for power conversion to recover sags caused by the Induction motor inrush current. The controller inside the Inverter ensures optimal operation. The use of AI also compares the effectiveness of using the Fuzzy Logic Controller (FLC) with the Proportional Integral (PI) Controller to assess their performance in reducing current spikes. Based on simulations, the FLC outperformed PI Controller in mitigating the voltage sag and avoiding the Low Voltage Ride-Through (LVRT). Simulation results show that voltage sag can be recovered for up to 97% of the nominal voltage, a significant improvement over the 80% sag recovery without the smart Inverter. At a nominal grid voltage of 6,600 volts, the VS Magnitude was successfully increased from 5,210 volts to 6,368 volts and the VS Duration also decreased from 6.96 s to 4.97 s. The results achieved validate the effectiveness of the approach in improving the power quality
Leveraging Text-Mining Techniques On Electronic Medical Records to Analyze National Drug-insured Medication Use
Get PDFProcessing electronic medical record (EMR) data has become a common practice among scientists for extracting valuable insights and studying diseases. Given the large volumes of text data in EMRs, efficient computerized text-mining techniques are necessary. As academics, we recognize that drug-used analysis from EMR data in Indonesia is currently limited. This study focuses on obtaining meaningful insights from EMR data to make positive recommendations for hospitals. The proposed method uses pattern-based Regular Expressions (regex) to extract drug names and a Levenshtein distance algorithm to check their compatibility. We developed the pattern based on analyzing Indonesia EMR data. The extracted drug names were compared to a list of selected drugs (National Drug-Insured/Fornas) that are required and must be provided at healthcare facilities in Indonesia. The Levenshtein distance threshold was set to two to decide whether the extracted drug names belonged to nationally drug-insured or not. Only about 11.09 – 16.11% of medications given by doctors are listed in the Fornas drug list. Between 2019 and 2021, there was an inaccuracy in the writing of prescriptions for Fornas drugs, with as many as 57.53% to 63.21% of drug names being written incorrectly. The results of this study indicate that the Levenshtein distance algorithm has promising potential for implementation in the Ministry of Health of Indonesia, with a precision rate of 97.07%
Analyzing the Quality of Game-based Assessment Design in Basic Arithmetic Operations
Get PDFThe use of Serious Games in education has experienced rapid development. However, not all studies have been able to show evidence that game-based methods are superior to other methods. It is important to analyze the quality of game designs used in learning and assessment used to assess students. This study focuses on how to design a serious game called B-block used in the assessment. The researcher validates the quality of the serious game first before conducting a pilot study regarding the feasibility of the Serious Game given for assessment. The game focuses on basic arithmetic, including addition, subtraction, division, and multiplication, and involves positive and negative numbers. The study was conducted in one of the schools in Indonesia and given to 35 students with an age range of 11-12 years with different student backgrounds in their experience with game-based exams. Based on these results, 85.7% of respondents agreed that this game could be used as a substitute for paper-based exams, with the analysis of game design quality having an average value of 78% pedagogic specifications and 73% playful and 80% technical specifications. Thus, the average value of this game quality analysis is considered superior and meets almost all the specifications needed for assessment. We also argue that serious game is closely related to how game design meets specifications for use as educational tools
Expert System for Predictive Maintenance Transformer using J48 Algorithm
Get PDFPredictive maintenance can reduce the risk of sudden transformer failure which causes the risk of plant to stop operating. One of transformer predictive maintenance technique is the Dissolved Gas Analysis (DGA) Test Oil Transformer. The gas is interpreted and analyzed to find out and get conclusions about the health condition and also possible problems in the transformer based on IEEE Standards and IEC Standards. To facilitate monitoring, a Decision Support System for Interpretation of Test Results of DGA Oil Immersed Transformer was created to form a database containing transformer data with the amount of main gas from the DGA test results. Next, decision tree was made using the J48 algorithm. The decision tree simplifying and speed up the decision-making process for recommended actions that are displayed on the system. The system also displays a trending graph of the last transformer test and quickly displays a dashboard of transformer status, i.e. normal, alarm, or danger. Engineer will get notification email if any transformer is in danger status. In addition, the system is able to provide information on possible fault types for each transformer. The benefits of this system are that the health condition of the transformer can be monitored properly and corrective action can be taken immediately on a problem based on the results of the decision support system. This will reduce the risk of shutdown and support the reliability of plant operations
Testing Data Security Using a Vigenere Cipher Based on the QR Code
Get PDFData, especially personal data, is sensitive and if misused, it can become a source of threats and crimes for ourselves or for others. Therefore, data security is very important. Cryptography is a way to secure data that aims to safeguard the information that contained in data, so the information contained is not known by unauthorized parties. Vigenere Cipher is a cryptographic method used to hide data with steganography. In the process, the Vigenere cipher converts information called plain text into ciphertext or text that has been steganographed. In this research, process of encryption was carried out on the text based on the given key. The results of the text encryption were stored in the form of a QR-Code which can later be decrypted from the QR-Code using the key, so that the text contained in the QR-Code can be identified
Discrete Cosine Transform and Singular Value Decomposition Based on Canny Edge Detection for Image Watermarking
Get PDFThe development of an increasingly sophisticated internet allows for the distribution of digital images that can be done easily. However, with the development of increasingly sophisticated internet networks, it becomes an opportunity for some irresponsible people to misuse digital images, such as taking copyrights, modification and duplicating digital images. Watermarking is an information embedding technique to show ownership descriptions that can be conveyed into text, video, audio, and digital images. There are 2 groups of watermarking based on their working domain, namely the spatial domain and the transformation domain. In this study, three domain transformation techniques were used, namely Singular Value Descomposition (SVD), Discrete Cosine Transform (DCT) and Canny Edge Detection Techniques. The proposed attacks are rotation, gaussian blurness, salt and pepper, histogram equalization, and cropping. The results of the experiment after inserting the watermark image were measured by the Peak Signal to Noise Ratio (PSNR). The results of the image robustness test were measured by the Correlation Coefficient (Corr) and Normalized Correlation (NC). The analysis and experimental results show that the results of image extraction are good with PSNR values from watermarked images above 50dB and Corr values reaching 0.95. The NC value obtained is also high, reaching 0.98. Some of the extracted images are of fairly good quality and are similar with the original image
Stand-Alone Hybrid PV System by Using The Bypass Converter Topology to Optimize the Reliable of Device
Get PDFOne of the applications of DC-DC converters in photovoltaic-battery hybrid systems is a two-way converter used for battery charging. The power supplied to the two-way converter experiences twice the power lost during the battery charging process. Therefore, it is necessary to arrange a phovoltaic-battery hybrid system topology so that only one stage of power conversion occurs when charging the battery so that the power loss is smaller. The proposed topology of this system uses three DC-DC converters connected to a battery and a DC bus. The one-way converter used in this system allows cross-connection between other DC-DC converters. Two one-way converters connect the phovoltaics to the DC bus and the photovoltaics to the battery, and the other one-way converter connects the battery to the DC bus. The purpose of using a one-way converter for charging the battery is called a bypass converter so that charging the battery does not go through two power conversions which cause twice the lost power. To make the proposed system more reliable, an inverter is added to the self-contained photovoltaic-battery hybrid system. Therefore, a control system is needed to maintain the DC bus voltage as input to the inverter using a double-loop control system. The two-loop Proportional-Integral control system is used for the DC electricity section while the Proportional-Resonant control system is used as an inverter control to maintain the balance of AC power. The results of system testing using Simulink/Matlab simulations show that the proposed topology uses a one-way converter capable of carrying out the battery charging process and can control the flow of power while maintaining DC and AC voltages
Improving Fuel Consumption Efficiency of Synchronous Diesel Generator Operated at Adjustable Speed using Adaptive Inertia Weight Particle Swarm Optimization Algorithm
Get PDFDiesel generator is a reliable source of electricity, but it requires quite high operational costs, especially for fuel. This paper describes a technique for reducing fuel consumption in Diesel Engine Synchronous Generator systems. The system is originally a Constant Speed Diesel Synchronous Generator (CSD-SG), but during certain conditions, the speed is reduced to minimize fuel consumption by adjusting the Specific Fuel Consumption (SFC) map. SFC is defined as the amount of fuel consumed by a diesel engine generator for each unit of power output. It shows various numbers depending on the speed and operating power. In this paper, we use the Adaptive Inertia Weight Particle Swarm Optimization (AIWPSO) algorithm to select of the proper SFC curve at a certain speed and operating power. AIWPSO employs an adaptive inertial weight adjustment method, which enables this algorithm to achieve faster convergence than conventional Particle Swarm Optimisation (PSO) algorithms. The system is embedded with AC/DC/AC power electronics converter to regulate the frequency. Data set of 1000 kVA Cummins diesel engine generator from the oil and gas company in Central Java, Indonesia was taken for simulations. The results show that the AIWPSO algorithm calculates the fuel consumption as 1,678 liters per day on a typical condition, whereas in the previous method, the linear line needs 1,693 liters per day. Therefore, using AIWPSO method can save up to 450 liters of fuel per month. The simulation results show that the proposed method can improve fuel efficiency compared to the previous model
Assessing The Quality and Prioritize Improvements of E-government Using E-govqual and Importance Performance Analysis
Get PDFThe Gresik Regency Government in 2020 has made new innovations in the development of E-Government as a form of implementing Presidential Regulation Number 3 of 2003 Regarding National Policy and Strategy for E-Government Development. Through the launch of the Pelayanan Online Pendaftaran Administrasi Kependudukan Gresik (Poedak) managed by the Population and Civil Registration Service. Poedak service aims to make it easier for the people of Gresik Regency to take care of population files. This study uses the E-GovQual method to measure the extent to which the quality of Poedak services is based on what users perceive, and the IPA method maps attributes according to improvement priorities. This study showed that the average score on the performance level assessment on all E-GovQual variables had a score of 3.13. Then the average score on the importance assessment on all E-GovQual variables was 3.08. So that the value of the gap between performance and importance can be known by 0.05. The results of the conformity analysis between the performance level and the importance level have a conformity value of >100% which is 102%. Thus, the overall performance of the Poedak service is good and meets the expectations or interests of users. There are 4 attributes that are included in quadrant 1, namely the quadrant with the main priority scale, namely an adequate response format (FIAA2), providing timely service (RA2), loading speed time on the website (RA5), and ease of understanding information content (CAIA6)