Claim Missing Document
Check
Articles

Found 5 Documents
Search

Fiber Optic Ring Resonator Sensor Detection Technique Based on Spectral Intensity Integration Priambodo, Purnomo Sidi; Rahardjo, Sasono; Witjaksono, Gunawan; Hartanto, Djoko
Makara Journal of Technology Vol. 19, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Resonant field phenomenon in optical ring resonator has been a major theme for various studies and can be used for various sensor applications. The spectral response shape changes are subjects to be discussed and analyzed for detection in optical sensor system. The spectral response changes are caused by various factors ranging from refractive index of the surrounding medium, medium loss due to absorption and scattering, and coupling variation between waveguides. These optical phenomena are mostly used for bio-sensor applications, since it is free from electromagnetic interference (EMI) and non-physically destructive. In this paper, we discuss our current research in developing optical bio-sensor in the form of a fiber optic ring resonator with monochromatic laser source based on spectral integration detection method, which is sufficiently sensitive and accurate.
Performance Comparison of PID, FOPID, and NN-PID Controller for AUV Steering Problem Nami, Osen Fili; Widaryanto, Afif; Rasuanta, Muhammad Putra; Pramudya, Tinova; Firdaus, Muhammad Yusha; Widati, Peni Laksmita; Anggraeni, Sakinah Puspa; Dwiyanti, Hanifah; Rahmadiansyah, Maristya; Purwoadi, Michael Andreas; Rahardjo, Sasono; Lubis, Teddy Alhady
Jurnal Elektronika dan Telekomunikasi Vol 24, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.596

Abstract

This study examines and compares three Autonomous Underwater Vehicles (AUV) steering control techniques utilizing the following three control algorithms: Proportional-Integral-Derivative (PID), Fractional Order PID (FOIPD), and Neural Network-PID (NN-PID). The objective of this investigation is to gain a comprehensive understanding of each controller's response in terms of step input scenarios, trajectory changes, and when encountering disturbances. The response analysis will evaluate the strengths and weaknesses of the controller by examining parameters such as Rise Time, Settling Time, Settling Min, Settling Max, Overshoot, Peak, and Peak Time for each controller response. To determine the accuracy performance of each controller strategy, the root mean square error (RMSE) technique will be applied, allowing users to confidently select the most suitable controller option. FOPID displays the best settling time of 3.2218 seconds, and PID stands out in rise time, achieving 0.4725 seconds. The results indicate that NN-PID is the top performer as it reduces overshoot to 0.3022%. Among the three controllers that were tested, FOPID had the smallest RMSE value, while the NN-PID control's slower response and larger error resulted in a smaller overshoot than PID and FOPID. This factor is due to the online learning process on NN-PID, which requires time. Based on the simulation results, FOPID outperforms PID in settling time and produces the smallest error due to the inclusion of parameters λ and μ, leading to improved control performance.
Analysis of Bare Uniform Fiber Bragg Grating Sensor for Measuring Strain on the Landing Gear of the LSU-02 Unmanned Aircraft Anwar, Rudi Choirul; Purnamaningsih, Retno Wigajatri; Rahardjo, Sasono; Hamidah, Maratul; Martha, Aryandi; Firdaus, Muhammad Yusha; Pramudya, Tinova
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 3 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i3.70

Abstract

This paper reports the results of testing a bare uniform FBG sensor for measuring strain occurring on the landing gear of an unmanned aircraft. The landing gear used in this research is made from carbon fiber, known for its high strength and stiffness. The FBG sensor is positioned 20 cm from the center point of the landing gear, specifically at the curved section, to optimize strain detection. Static testing to measure strain was conducted by applying varying mass loads from 0 to 9 kilograms to test the sensor's response to load changes. Measurement results show a constant measurement threshold at a load of 50 grams, indicating sensor stability within that load range, with a measurement resolution of 0.1654 microstrain. Comparison of FBG measurement results with the BLFAB-55 strain gauge sensor revealed a measurement difference of 5.9%. Further research was conducted by introducing disturbances in the form of wind at speeds of 5 m/s and 10 m/s, and temperature disturbances of 30°C and 45°C. The results showed that the 45°C temperature disturbance had the most significant impact on the strain changes measured by the FBG, with an increase in strain value of 265% compared to when there was no disturbance.
Technology content assessment for Indonesia-cable based tsunameter development strategy using technometrics model Soehadi, Gani; Setianingrum, Lesti; Rahardjo, Sasono; Yogantara, I Wayan Wira; Purnomo, Edhi; Purwoadi, Michael Andreas; Santoso, Irawan
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i1.5748

Abstract

This research aims to calculate the value of the Technology Contribution Coefficient (TCC) and determine the priority of technology component improvement in the development of the Indonesia-Cable Based Tsunameter (INA-CBT) Tsunami Early Warning System (TEWS) conducted by the National Research and Innovation Agency (BRIN) Research Center for Electronics (RCE). In this study, the Technometrics model is used to calculate the technology contribution of technology components and TCC, while Analytical Hierarchy Process (AHP) is used to calculate the value of the technology contribution intensity of technology components. The results showed that the TCC value of the RCE is 0.55 (Good). With the state-of-the-art value of 1, the RCE still has the opportunity to make improvements, especially on Infoware components with the lowest contribution value, to increase TCC. In calculating the technology contribution intensity, Infoware obtained the highest score of 0.447 compared to other technology compo­nents, therefore Infoware needs to be prioritized for improvement so that it is expected that the management of RCE can increase the quality and accuracy of the engineering design and simulation stage because it is a critical point in the development of INA-CBT.
Characterization of Fiber Bragg Grating Accelerometer for Underwater Vibration Detection Gani, Juan Michael Kane; Purnamaningsih, Retno Wigajatri; Rahardjo, Sasono
Jurnal Penelitian Pendidikan IPA Vol 10 No 6 (2024): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i6.7760

Abstract

In this paper, the results of the characterization of a Fiber Bragg Grating (FBG) Accelerometer for detecting vibrations underwater are reported. The FBG Accelerometer, consisting of three FBGs, is utilized to detect underwater vibrations in three-dimensional directions. A water pump, with positions varied from 0 to 10 cm, is employed as the vibration source. Furthermore, the experimental results are presented in the form of the peak wavelength shift reflected by the FBG (ΔλB) and frequency. From the experiment results, it is shown that with increasing distance, ΔλB decreases linearly with successive gradients of 0.0058 nm/cm; 0.0059 nm/cm; and 0.0045 nm/cm. for FBG X, Y, and Z. It is also shown that with increasing distance, there is a decrease in frequency from 50 Hz for FBGs X, Y, and Z to 39 Hz; 38 Hz; and 40 Hz for FBGs X, Y, and Z respectively.