Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Teknik ITS IPTEK Journal of Proceedings Series JAREE (Journal on Advanced Research in Electrical Engineering)
Fatoni, Ali
Institut Teknologi Sepuluh Nopember
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Simulation Water Level Control in The Steam Drum of Steam Power Plant's Boiler System Using A Robust Self-Tuning Scheme for PID-Type Fuzzy Ali Fatoni; Imam Arifin; Mughny Indra Darmawan
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 3, No 1 (2019): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v3.i1.73

Abstract

The water level in the steam drum needs to be kept constant at a certain point. Therefore, control is needed for the flow rate of incoming water feedwater to adjust to the disruption of the steam flow rate that comes out. The size of the steam flow rate that comes out depends on the load demand. If the demand for loads is high and fluctuations, then the water level in the steam drum will be more difficult. The PID type fuzzy logic controller with a robust self-tuning scheme will be implemented in the water level regulation system in the steam drum. In the three-element control scheme, when given a high load of 700 MW the system produces an error deviation of 15.69 mm peak against the set point. This value is smaller than the single-element control scheme by producing an error deviation of 18.5 mm against the set point. However, when given a set point change of 40 mm the three-element control scheme produced a response of 16.82 mm peak error error to the set point. This value is greater than the system response with the single-element control scheme which only produces an error deviation of 3.91 mm peak against the set point.Keywords: fuzzy-PID, robust self-tuning scheme, steam drum.
Obstacle Detection Using Monocular Camera with Mask R-CNN Method Ari Santoso; Rafif Artono Darmawan; Mohamad Abdul Hady; Ali Fatoni
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 2 (2022): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i2.325

Abstract

An autonomous car is a car that can operate without being controlled by humans. Autonomous cars must be able to detect obstacles so that the car does not hit objects that are on the path to be traversed. Therefore, it takes a variety of sensors to determine the surrounding conditions. The sensors commonly used in autonomous cars are cameras and LiDAR. Compared to LiDAR, the camera has a relatively long detection distance, lower cost, and can be used to classify objects. In this final project, the monocular camera and Mask R-CNN algorithm are used to create a system that can detect obstacles in the form of cars, motorcycles, and humans. The system will generate segmentation instances, bounding boxes, classifications, distance, and width estimation for each detected object. By using a custom dataset that is created manually it fits perfectly with the surrounding environment. The system used can produce a Mean Average Precision of 0.81, a Mean Average Recall of 0.89, an F1 score of 0.86, and a Mean Absolute Percentage Error of 13.4% for the distance estimator. The average detection speed of each image is 0.29 seconds.
Co-Authors Aditya P. P. Prasetyo Anisa Endarwati Ari Santoso Arifin, Imam Eka Iskandar Fachrul Arifin Fadjri Andika Permadi Fanniesha Hamada Febry Angga Gunawan Hady, Mohamad Abdul Josaphat Pramudijanto Katjuk Astrowulan Mochammad Rameli Mohamad Yusuf Mohamad Yusuf Mughny Indra Darmawan Rafif Artono Darmawan Rusdhianto Effendi Rusdhianto Effendie Abdul Kadier Rusdhianto Effendie Abdul Kadier Swadexi Istiqphara, Swadexi Trihastuti Agustinah Widhayaka Aji Candra