Gutama Indra Gandha, Gutama Indra
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Implementasi Adjustable Frequency Menggunakan Protokol I^2 C pada Pulse Width Modulation Generator Berbasis Field Programmable Gate Array (FPGA) Gandha, Gutama Indra
JTET (Jurnal Teknik Elektro Terapan) Vol 6, No 3: (Desember 2017)
Publisher : Teknik Elektro - Politeknik Negeri Semarang

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Abstract

Pulse Width Modulation (PWM) has widely used in industrial and domestic applications. The advantages of the PWM utilization is low power loss in device switching process. It affects the device power consumption. The conventional PWM generation including the analog circuitry. However it has several disadvantages including high complexity, hard to modify and low flexibility. Microcontroller is an electronic device that has capabilities to generate PWM signal. The frequency of PWM signal generated by microcontroller is fixed or unchangeable.  Many applications require PWM signal with adjustable frequency feature. The FPGA is a solution to resolve the problem. The  interface has been used to provide the communication line between FPGA and other devices. The FPGA based- PWM generation has precision level and error by 94% and 6%.Keywords : field programmable gate array, pulse width modulation, IC Design Keyword
The Newton’s Polynomials Interpolation Based-Error Correction Method for Low-Cost Dive Altitude Sensor in Remotely Operated Underwater Vehicle (ROV) Gandha, Gutama Indra; Nurcipto, Dedi
JURNAL INFOTEL Vol 11 No 1 (2019): February 2019
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v11i1.419

Abstract

Indonesia is the one of the countries with the largest of sea area. However, the water surveillance categorized as minimum. The human resource and the low level of infrastructure are the causal of the minimum level of water surveillance. The human involvement of water surveillance has many weaknesses, such as weak against the change of the nature condition, limitation in reaching location, weak against water turbidity levels and water pollution. The utilization of ROV (Remotely Operated Underwater Vehicle) could be a solution in water surveillance problem. The development of ROV still not significant in Indonesia. The development costs are also a problem in development of ROV. Many researcher using USBL (Ultra Short Base Line) sensor to sense the depth of the ROV. However, the cost of this sensor is relatively expensive. The usage of low-cost pressure sensor could be a solution to replace the USBL sensor. The low-cost pressure sensor has a significant deviation. The implementation of Newton’s polynomials interpolation algorithm has been used to decrease the deviation level of the sensors. The result shows the algorithm has succeeded to decrease the deviation level of the pressure sensor significantly. The MSE value of default sensor was 42956.2, which is significantly worst. The Newton interpolation algorithm has been succeeded to reducing the MSE value to 17.82. The result of this research was expected to reduce the cost of the ROVs development especially for sensors cost.
The Newton's Polynomial Based - Automatic Model Generation (AMG) for Sensor Calibration to Improve the Performance of the Low-Cost Ultrasonic Range Finder (HC-SR04) Gandha, Gutama Indra; Santoso, Dewi Agustini
JURNAL INFOTEL Vol 12 No 3 (2020): August 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i3.486

Abstract

The ultrasonic range finder sensors is a general-purpose sensor to measure the distance contactless. This sensor is categorized as a low-cost sensor that is widely used in various applications. This sensor has a significant deviation that leads to significant errors in the measurement result. The error produced by this sensor tends to increase proportionally to the measured distance. The implementation of a particular algorithm is required to reduce the error value. The model-based calibration is a solution to increase accuracy. The model-based solutions are no longer feasible if the states of the model have changed. The length of the usage of the sensor leads to sensor fatigue. Sensor fatigue is one of the causes of model state changes. If the drift is still within the tolerance limit, the sensor performance can still be restored using the calibration method. The model-based calibration calibrates the sensor by using the model. The update of the model must be made whenever the changing of the model state occurred. Since the manual model-making process is not an easy task, time, and cost required, then the Newton polynomial-based (Automatic Model Generation (AMG) has been implemented in this research. The AMG algorithm generates the new sensor model automatically based on the most updated states. This automatic model generation is implemented in the calibration process of the ultrasonic sensor. The implementation of a polynomial-based AMG algorithm for sensor calibration has been succeeded in improving the calibrated sensor's accuracy by 96.4% and reducing the MSE level from 25.6 to 0.914