Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Sistem dan Manajemen Industri Jurnal Elektronika dan Telekomunikasi
Purwoadi, Michael Andreas
Unknown Affiliation
Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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.
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.
Co-Authors Anggraeni, Sakinah Puspa Dwiyanti, Hanifah Firdaus, Muhammad Yusha Gani Soehadi Irawan Santoso Lubis, Teddy Alhady Nami, Osen Fili Pramudya, Tinova Purnomo, Edhi Rahmadiansyah, Maristya Rasuanta, Muhammad Putra Sasono Rahardjo, Sasono Setianingrum, Lesti Widaryanto, Afif Widati, Peni Laksmita Yogantara, I Wayan Wira