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Gutama Indra Gandha
Universitas Dian Nuswantoro
Computer Science & IT Electrical & Electronics Engineering

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Fuzzy PID Algorithm-Based External Carbon Controller for Denitrification Process Enhancement in Wastewater Treatment Plant Gutama Indra Gandha; Dedi Nurcipto
JURNAL INFOTEL Vol 10 No 4 (2018): November 2018
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v10i4.407

Abstract

The water scarcity and drought challenge are the current issue that faced by many countries in the world. The water scarcity and drought have disadvantageous impact to agriculture, industry and the environment. Wastewater reuse method has recognized as solution to overcome water scarcity. Wastewater treatment plant (WWTP) is a widely known as water replenishment that using wastewater reuse system that integrates microbial decomposition to process the wastewater. The over limit of effluent level leads to degradation of water quality produced by the plant. The denitrification process enhancement is highly recommended to increase the quality of water disposal. The adding of carbon material has recognized as a method to enhance the denitrification process. The rising of operational cost of the plant is the direct effect of the using of carbon addition. The high-performance controller is highly suggested to control the flow of carbon material in order to enhance the denitrification process and optimizing the carbon material usage. The PID controller is widely used in industrial purposes. Due the nonlinearity and complexity of the waste water treatment plant makes the traditional PID unable to work appropriately. The real-time error correction must be performed to minimize the error. It could be achieved by combining Fuzzy controller and traditional PID controller. The Fuzzy-PID controller has been succeeded to reduce the usage of the carbon than PID controller. The implementation of Fuzzy-PID controller is able to save the usage of carbon consumption by 412 kg COD. The nitrogen concentration, aeration energy and pumping energy also decreased by 0.0029 mg N/L,87kWh and 17 kWh.
The Performance Improvement of the Low-Cost Ultrasonic Range Finder (HC-SR04) Using Newton's Polynomial Interpolation Algorithm Gutama Indra Gandha; Dedi Nurcipto
JURNAL INFOTEL Vol 11 No 4 (2019): November 2019
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v11i4.456

Abstract

The ultrasonic range finder sensors are widely used sensor in many applications such as computer applications, general purpose applications, medical applications, automotive applications and industrial grade applications. The ultrasonic range finder sensor has many advantages. The advantages are easy to use, fast in measuring process, non-contact measurement and suitable for air and underwater environment. However, the ultrasonic range finder has deviation especially for low-cost sensor. It affects the accuracy level of the measurement result that performed by its sensor directly. The HC-SR04 categorized as a low-cost ultrasonic range finder sensor. This sensor has significant error level. The improvement of the accuracy level of this low-cost ultrasonic sensor is expected to this research. The Newton's polynomial interpolation algorithm has been used in this research to reduce the error during the measurement process. The implementation of Newton's polynomial interpolation has succeeded to improve the sensor accuracy. The MSE level of 29,96 is obtained without the Newton's Polynomial Interpolation implementation. The implementation of the Newton's Polynomial Interpolation algorithm has succeeded to increase the accuracy level of the sensor by 55,54%. It has been proofed by the decrease of MSE level by 13,32.
The Modelling of Nonlinear Distance Sensor Using Piecewise Newton Polynomial with Vertex Algorithm Gutama Indra Gandha
JURNAL INFOTEL Vol 13 No 3 (2021): August 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v13i3.678

Abstract

The Sharp GP2Y0A02YK0F is categorized as a nonlinear sensor for distance measurement. This sensor is also categorized as a low-cost sensor. The higher resolution, cheap, high accuracy and easy to install are the advantages. The accuracy level of this sensor depends on the type of the measured object materials, requires an additional device unit and further processing is required since the output is non-linear. The distance determination is not easy for this type of sensor since the characteristic of this sensor fulfills non-injective function. The modelling process is one of methods to convert the output voltage of the sensor to a distance unit. The advantages of polynomial modelling are simple form model, moderate in flexibilities of shape, well known and understood properties, and easy to use for computational matters. The obstacle of polynomial-based modelling is the presence of Runge’s phenomenon. The minimization of Runge’s phenomenon can be done with decreasing the model order. The piecewise Newton polynomials with vertex determination method have been succeeded to generate a nonlinear model and minimize the occurrence of Runge’s phenomenon. The low level of MSE by 0.001 and error percentage of 2.38% has been obtained for the generated model. The low MSE level leads to the high accuracy level of the generated model.
The reduction of polynomial degrees using moving average filter and derivative approach to decrease the computational load in polynomial classifiers Dewi Agustini Santoso; Gutama Indra Gandha
JURNAL INFOTEL Vol 14 No 3 (2022): August 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i3.777

Abstract

Carbon monoxide is a type of pollutant that is harmful to human health and the environment. On the other hand, carbon monoxide also has benefits for industrial matter. Since the benefits and disadvantages of carbon monoxide, the measurement of carbon monoxide concentration is required. The measurement of carbon monoxide level is not easy moreover with low-cost sensors. The usage of 4 sensors namely TGS2611, TGS2612, TGS2610 and TGS2602 has been used along with feature extractor. The polynomial classifier is required to interpret the feature vector into the amount of substance concentration. The common classifier methods suffer fatal limitations. The polynomial classifiers method offers lower complexity in solution and lower computational effort. Since the involvement of a huge number of data points in the modelling process leads to high degree in the polynomial model. The occurrence of Runge's phenomenon is highly possible in this condition. This phenomenon affects the accuracy level of the generated model. The degree reduction algorithm is required to prevent the occurrence of Runge’s phenomenon. The combination of MAF (Mean Average Filter) and derivative approach as degree reductor algorithm has succeeded in reducing the polynomial model degree. The greater the number degree in the model means the greater the computational load. The model degree reductor algorithm has been succeeded to reduce computational load by 96.6%.
Co-Authors Dedi Nurcipto, Dedi Dewi Agustini Santoso