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THE ACA-BASED PID CONTROLLER FOR ENHANCING A WHEELED-MOBILE ROBOT Heru Suwoyo; Zhou Thong; Yingzhong Tian; Andi Adriansyah; Muhammad Hafizd Ibnu Hajar
TEKNOKOM Vol. 5 No. 1 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (734.663 KB) | DOI: 10.31943/teknokom.v5i1.74

Abstract

Wall-following control of mobile robot is an important topic in the mobile robot researches. The wall-following control problem is characterized by moving the robot along the wall in a desired direction while maintaining a constants distance to the wall. The existing control algorithms become complicated in implementation and not efficient enough. Ant colony algorithm (ACA), in terms of optimizing parameters, has a faster convergence speed and features that are easy to integrate with other methods. This paper adopts ant colony algorithm to optimize PID controller, and then selects ideal control parameters. The simulation results based on MATLAB show that the control system optimized by ant colony algorithm has higher efficiency than the traditional control systems in term of RMSE.
PERANCANGAN ROBOT TANGAN SEDERHANA Andi Adriansyah
Technologic Vol 6, No 2 (2015): Technologic
Publisher : Politeknik Manufaktur Astra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52453/t.v6i2.135

Abstract

Penelitian mengenai robot tangan (hand robot) adalah penelitian yang telah cukup lama dikembangkan namun berjalan amat lamban. Faktor utama yang memperlambat perkembangannya adalah harga yang tinggi dan kerumitan teknis pada proses pembuatan. Tulisan ini menawaran proses perancangan robot tangan sederhana. Bagian robot dicetak dengan pencetak tiga deimensi. Pengendali menggunakan system mikroprosesor berbasis Arduino dan digerakkan oleh lima buah motor servo melalui keyboard. Hasil pengujian menunjukkan bahwa hasil perancangan dapat bekerja dengan performa yang dapat diandalkan.
Integrated Speed and Driver Fatigue Detected with Method Image Processing Hadi Pranoto; Andi Adriansyah; Abdi Wahab; Dafit Feriyanto
International Journal of Advanced Technology Vol 1, No 1 (2020)
Publisher : Institute for Research on Innovation and Industrial System (IRIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (482.405 KB) | DOI: 10.37869/ijatec.v1i1.7

Abstract

Integrated Speed and fatigue drivers detected with the image processing method are devices that can give a warning of fatigue when the driver operates a truck or bus, so that potential accidents can be minimized caused by driver fatigue. This device uses the image processing method by image processing with camera right on the driver's face to determine facial changes that include formulated driver yawning intervals in the form of Mount Aspect Ratio (MAR), Eye Aspect Ratio (ER), Eye State (ES), Mouth State (MS), and the Slifa Sleepiness Scale (SSS) is a scale used to describe the driver's sleep level. The results of this research are a device that can detect driver fatigue levels by connecting to speed limiting devices, from the data obtained when range float EAR value less than 0.2 eye close and then value 0.2-0.3 eye condition half open and then greater than 0.3 eye condition open, range float MAR value less than 0.5 mouth close condition, 0,5-0,8 mouth half open and greater than 0.8 mouth open condition, SSS value scale 1-9, if driver condition scale 1-5 fatigue not detected, if the driver scale 6-9 driver fatigue detected.
The ACA-based PID Controller for Enhancing a Wheeled-Mobile Robot Heru Suwoyo; Yingzhong Tian; Andi Adriansyah; Muhammad Hafizd Ibnu Hajar; Tong Zhou
Journal FORTEI-JEERI Vol. 1 No. 2 (2020): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/forteijeeri.v1i2.15

Abstract

Wall-following control of mobile robot is an important topic in the mobile robot researches. The wall-following control problem is characterized by moving the robot along the wall in a desired direction while maintaining a constants distance to the wall. The existing control algorithms become complicated in implementation and not efficient enough. Ant colony algorithm (ACA), in terms of optimizing parameters, has a faster convergence speed and features that are easy to integrate with other methods. This paper adopts ant colony algorithm to optimize PID controller, and then selects ideal control parameters. The simulation results based on MATLAB show that the control system optimized by ant colony algorithm has higher efficiency than the traditional control systems in term of RMSE.
A queue theory in the cross-polarization of antenna in satellite communication Rio Mubarak; Setiyo Budiyanto; Putri Wulandari; Fajar Rahayu; Andi Adriansyah; Mudrik Alaydrus
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 2: May 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i2.pp884-892

Abstract

Satellite communication is a telecommunications technique that uses satellites as a connecting component, for example VSAT. In antenna installation, there is an important process which is called the cross-polarization. Cross-polarization is one process that cannot be released inside installation of VSAT antennas for satellite communication. Sometimes, in this process, a user queue will occur. Queuing theory explain the process is done and also calculate the other factors that are in the process. By knowing queuing theory to the cross-polarization, it will be easy to know the efficiency of queuing theory in the cross-polarization. Based on the characteristics of the cross-polarization, user can be known the queuing model that used and performance of the queuing system. The queuing model for the cross-polarization, using Kendall notation, M/M/1. Based on the analysis that has been done; by using 1 server the value of service level (ρ) is 0.67, using 2 servers = 0.33 and 3 servers = 0.22. The waiting time in the queue is longer if using 1 server which is 0.67 hours or 40 minutes. If a satellite operator uses 2 servers, waiting time in the queue is 25 minutes and 3 servers is 2.8 minutes which means that there is almost no waiting time in the queue.
Bandpass filter based on complementary split ring resonators at X-band Furqan Furqan; Said Attamimi; Andi Adriansyah; Mudrik Alaydrus
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp243-248

Abstract

Complementary Split Ring Resonators were used integrated in a substrate integrated waveguide to generate passband charateristics in X-Band. Based on a parameter study with an electromagnetic commercial software, the characteristics of double and quadruple CSRRs according the reflection and transmission factor were observed. The computer simulation showed, the bandpass filter worked in the frequency range 8.12-8.63 GHz and 8.11-8.63 GHz for double and quadruple CSRR, respectively. The insertion loss was 0.12 dB and 0.015 dB. The measurement mit a vector network analyzer verified the simulation results. The frequeny range measured was 8.12-8.67 GHz and 8.12-8.61 GHz for double and quadruple CSRRs, respectively. The measured insertion loss was 0.25 dB and 0.2 dB.
Response time optimization for vulnerability management system by combining the benchmarking and scenario planning models Arif Basuki; Andi Adriansyah
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 1: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i1.pp561-570

Abstract

The growth of information and communication technology has made the internet network have many users. On the other side, this increases cybercrime and its risks. One of the main attack targets is network weakness. Therefore, cyber security is required, which first does a network scan to stop the attack. Points of vulnerability on the network can be discovered using scanning techniques. Furthermore, mitigation or recovery measures can be implemented. However, it needs a short response time and high accuracy while scanning to reduce the level of damage caused by cyber-attacks. In this paper, the proposed method improves the performance of a vulnerability management system based on network and port scanning by combining the benchmarking and scenario planning models. On a network scanning to discover open ports on a subnet, Masscan can achieve response times of less than 2 seconds, and on scenario planning for detection on a single host by Nmap can reach less than 4 seconds. It was combining both models obtained an adequate optimization response time. The total response time is less than 6 seconds.
The Role of Block Particles Swarm Optimization to Enhance The PID-WFR Algorithm Heru Suwoyo; Abdurohman Abdurohman; Yifan Li; Andi Adriansyah; Yingzhong Tian; Muhammad Hafizd Ibnu Hajar
International Journal of Engineering Continuity Vol. 1 No. 1 (2022): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1157.655 KB) | DOI: 10.58291/ijec.v1i1.37

Abstract

In the conventional Proportional Integral Derivation (PID) controller, the parameters are often adjusted according to the formulas and actual application. However, this empirical method will bring two disadvantages. First, testing the program takes much time and usually needs help to reach the optimal solution. Second, the PID parameters will not adapt to the new environment when the situation changes. This paper proposed a method by employing a Block Particles Swarm Optimization (BPSO) to enhance the conventional Proportional Integral Derivation (PID) algorithm to overcome the mentioned disadvantages. The genetic algorithm (GA) first optimized the PID parameters. However, its optimization time is relatively long. Then, a Block Particle Swarm Optimization (BPSO) algorithm is designed to solve the problem of long optimization time. This method was then applied to the wall-following robot problem by realistically simulating it to confirm the performance. After Compared with conventional methods, the proposed method shows a relatively stable solution.
Techno-Economic Analysis Utilization of On-Grid Solar Photovoltaic Systems in Improving Energy Efficiency in Manufacturing Industries Mochamad Irlan Malik; Andi Adriansyah; Abu Ubaidah Shamsudin
Journal of Integrated and Advanced Engineering (JIAE) Vol 3, No 2 (2023)
Publisher : Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia (ASASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51662/jiae.v3i2.96

Abstract

Energy efficiency is a critical factor in the success of the manufacturing industry in the era of globalization and increasing competition. One alternative to reduce dependence on conventional energy sources is to utilize Solar Power Plants. This research focuses on the analysis of the techno-economic utilization of on-grid solar photovoltaic (PV) systems in improving energy efficiency in manufacturing industries using Homer Pro software. The study utilizes data on electricity consumption before and after the use of PV panels on a low voltage 33 kVA customer grid for one year. The results show that after the use of On-Grid Photovoltaic System, electricity costs decreased by 16.935.541 IDR or about 15%. The percentage of On-Grid Photovoltaic System usage reached 15.6%, while the grid usage reached 84.4%. Therefore, this study recommends the use of on-grid solar photovoltaic systems as an alternative energy-saving solution in manufacturing industries. However, in designing On-Grid Photovoltaic System, it is crucial to consider the power of the grid and the loads that will be backed up by On-Grid Photovoltaic System.
Design of water level detection monitoring system using fusion sensor based on Internet of Things (IoT) Andi Adriansyah; Muhammad Hanif Budiutomo; Heri Hermawan; Reni Ika Andriani; Rama Sulistyawan; Abu Ubaidah Shamsudin
SINERGI Vol 28, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.1.019

Abstract

River flooding is a condition when the water in a river overflows and exceeds its normal capacity, thereby flooding the surrounding area. This flood disaster has been a known problem for a long time and causes great damage in the affected areas. Flood events inRivers are influenced by many factors, such as climate change, rapid urbanization, inappropriate land use, ineffective water management patterns, as well as uncontrolled addition of hard soil surfaces. Flood conditions in rivers involve complex processes and are influenced by various factors components, such as rainfall, water flow, topography, vegetation, and many other factors. Therefore, this research is very urgent because it can help reduce the negative impacts of flooding, increase public safety, become a basis for decision making, save costs and resources and make a positive contribution to technological development. This study aims to create a prototype of a flood early warning system. The system is based on a wireless sensor network whose interconnections are connected by a star topology. Every node is a combination of several sensors (sensor fusion) that are related to detecting floods, such as: height sensors, water flow speed sensors and rainfall intensity sensors. Design of hardware (hardware) and software (software) will be done. A classification mechanism based on Fuzzy Logic will be used to estimate flood conditions based on existing data. Flood estimation will determine the time and distance of flood events that will occur. Several experiments in the laboratory will be carried out to determine the performance of the designed system.
Co-Authors Ab Ghani, Muhammad Amin Abdi Wahab Abdul Mutalib Leman Abdurohman Abdurohman ABU UBAIDAH SHAMSUDIN Abu Ubaidah Shamsudin Adikrisna Nugraha Akhmad Wahyu Dani Amrullah , Ahmad Ghozali Annisa Hakim Zamzami Arif Basuki Badaruddin . Badaruddin Badaruddin Cak Fangky Poernomo Chenwei Deng Dafit Feriyanto Deng, Chenwei Dodi Hermawan Eko Ihsanto Elly Yuliawati Erna Setiany Fahrizal, Diki Fengfeng Xi Ferdana, Nanda Firdaus, Ade Furqan Furqan Guangjie Yuan Hadi Pranoto Hadi Pranoto Haekal, Jakfat Heri Hermawan Hitimana, Sabin Hutomo, Fajri Rezki Jaja Kustija, Jaja Julpri Andika Kasmad Ariansyah KOERNIAWAN, SETYA DWI Long Li Md Nor, Danial Mirzanu Rizki GM Mirzanu Rizki GM Mochamad Irlan Malik Mohamed Nasir, Noorhamizah Muchamad Rizky Nugraha Mudrik Alaydrus Muhamad Nasir, Muhamad Muhammad Hafizd Ibnu Hajar Muhammad Hanif Budiutomo Muhammad Yusuf Muthia Rahayu Muttaqin, Muhammad Husni Oka Hidyatama Pratiwi, Riri Putri Wulandari RAHAYU, FAJAR Rama Sulistyawan Ramadhan, Kurnia Reni Ika Andriani Ri zally Priatmadja Rino Ferdian Surakusumah Rio Mubarak Rizal Bahaweres Rizal Bahaweres Rizki Briandana Rizky Dinata Robi Yusuf Habibie Sabin Hitimana Said Attamimi Selomah, Mohammad Suhaimi Setiyo Budiyanto Setya Dwi Koerniawan Shamsudin H. Mohd. Amin Shamsudin, Abu Ubaidah Shamsudin, Abu Ubaidillah Suhartina, Rahmalisa Supaat Zakaria Suwoyo, Heru Tay, Tay Gaik Thong, Zhou Tian, Yingzhong Tian, Yingzhong Tjetjep Rony Budiman Tjetjep Rony Budiman Tong Zhou Triwidya Mochtar, Thathit Gumilar Wenbin Wang Wijaya Wijaya Yananto Mihadi Putra Yanti Yanti Yifan Li Yingzhong Tian Yingzhong Tian Yudhi Gunardi Yuliza . Yuliza Yuliza Zakaria, Supaat Zendi Iklima Zhou Thong ZULHAMIDI, ZULHAMIDI Zulkifli, Muhammad Fathi Yakan