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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) Jurnal Edukasi Elektro Jurnal Ilmu Komputer dan Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Sinergi Seminar Nasional Informatika (SEMNASIF) ICON-CSE Jurnal Teknologi Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Proceeding of the Electrical Engineering Computer Science and Informatics Reviewer TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Indonesian Journal for Social Responsibility International Journal of Advanced Technology in Mechanical, Mechatronics and Material (IJATEC) Technologic Journal of Integrated and Advanced Engineering (JIAE) Journal FORTEI-JEERI International Journal of Engineering Continuity Buletin Pos dan Telekomunikasi TECHNOLOGIC

Andi Adriansyah

Universitas Mercu Buana

Author-ID : 220329

Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Panduan Adriansyah, Andi
Reviewer Vol 1, No 1 (2018)
Publisher : Reviewer

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Panduan Penulisan

PROPOSE SAFETY ENGINEERING CONCEPT SPEED LIMITER AND FATIGUE CONTROL USING SLIFA FOR TRUCK AND BUS Pranoto, Hadi; Adriansyah, Andi; Feriyanto, Dafit; Wahab, Abdi; Zakaria, Supaat
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.009

In 2015, there were 55 deaths from 6,231 accident cases that occurred in Jakarta. A severe problem in Indonesia is the absence of a unique safety device in both commercial transport or personal vehicles and the very high complexity problem of human highways. Consequently, there are many traffic accidents caused by the negligence of the driver, such as driving a vehicle in a drunken, tired, drowsy, or over-limit speed. Therefore, it needs to be innovative using devices to increase speed but able to detect the level of tired or sleepy drivers. This paper tries to propose a concept of improving safety engineering by developing devices that can control the speed and level of safety of trucks and buses, named SLIFA. The proposed device captures the driver's condition by looking at the eyes, size of mouth evaporating, and heart rate conditions.Â Theses condition will be measured with a particular scale to determine the fatigue level of the driver. Some performance tests have been carried out on truck and bus with 122 Nm and 112 Nm torque wheels and 339 HP and 329 HP power values, respectively, and the minimum speed is 62 km/h. At a top speed of 70 km / h, the torque and power of the truck are 135Nm and 370HP, with average fuel consumption of 3.43 liters/km before SLIFA installation and average fuel consumption of 4.2 liters/km after SLIFA installation. SLIFA can be said to have functional eligibility and can cut fuel consumption by 81 percent.

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

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.

Development of a solar radiation sensor system with pyranometer Muchamad Rizky Nugraha; Andi Adriansyah
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i2.pp1385-1391

Solar energy is a result of the nuclear fusion process in the form of a series of thermonuclear events that occur in the Sun's core. Solar radiation has a significant impact on the lives of all living things on earth. The uses, as mentioned earlier, are when the solar radiation received requires a certain amount and vice versa. As a result, a more accurate instrument of solar radiation is required. A specific instrument is typically used to measure solar radiation parameters. There are four solar radiation parameters: diffusion radiation, global radiation, direct radiation, and solar radiation duration. Thus, it needs to use many devices to measure radiation data. The paper designs to measure all four-radiation data by pyranometer with particular modification and shading device. This design results have a high correlation with a global standard with a value of R=0.73, diffusion with a value of R=0.60 and a sufficiently strong direct correlation with a value of R=0.56. It can be said that the system is much simpler, making it easier to monitor and log the various solar radiation parameters.

Goal-seeking Behavior-based Mobile Robot Using Particle Swarm Fuzzy Controller Andi Adriansyah; Yudhi Gunardi; Badaruddin Badaruddin; Eko Ihsanto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 2: June 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i2.1111

Behavior-based control architecture has successfully demonstrated their competence in mobile robot development. Fuzzy logic system characteristics are suitable to address the behavior design problems. However, there are difficulties encountered when setting fuzzy parameters manually. Therefore, most of the works in the field generate certain interest for the study of fuzzy systems with added learning capabilities. This paper presents the development of fuzzy behavior-based control architecture using Particle Swarm Optimization (PSO). A goal-seeking behaviors based on Particle Swarm Fuzzy Controller (PSFC) are developed using the modified PSO with two stages of the PSFC process. Several simulations and experiments with MagellanPro mobile robot have been performed to analyze the performance of the algorithm. The promising results have proved that the proposed control architecture for mobile robot has better capability to accomplish useful task in real office-like environment.

SEBUAH MODEL BERBASIS PENGETAHUAN UNTUK PENGENDALIAN FORMASI SISTEM ROBOT MAJEMUK Andi Adriansyah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 8, No 2: August 2010
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v8i2.608

Study of multi-robot system has been popular in recent years. This system is able to reduce processing time of some processes, the cost and complexity of the system. However, multi-robot system also has some problems. One of the problems faced by these systems is how to control robots in a certain formation when carrying out its functions. Several methods have been offered to resolve the existing problems. This study tries to offer a method to solve the problem, by modeling the multi-robot systems and implement a control system in order to maintain a specific formation. The study attempted to use a controller based on knowledge base system. Model is developed using MATLAB software and simulated to determine the performance. Several experiments are conducted to determine the movement of the robot and its ability to maintain a specific formation. From the experiments it can be said that the modeling of multiple-robot system has been reliable. In addition, formation control actions have also been running well, although there should be further development.

Maximum likelihood estimation-assisted ASVSF through state covariance-based 2D SLAM algorithm Heru Suwoyo; Yingzhong Tian; Wenbin Wang; Long Li; Andi Adriansyah; Fengfeng Xi; Guangjie Yuan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 1: February 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i1.16223

The smooth variable structure filter (ASVSF) has been relatively considered as a new robust predictor-corrector method for estimating the state. In order to effectively utilize it, an SVSF requires the accurate system model, and exact prior knowledge includes both the process and measurement noise statistic. Unfortunately, the system model is always inaccurate because of some considerations avoided at the beginning. Moreover, the small addictive noises are partially known or even unknown. Of course, this limitation can degrade the performance of SVSF or also lead to divergence condition. For this reason, it is proposed through this paper an adaptive smooth variable structure filter (ASVSF) by conditioning the probability density function of a measurementto the unknown parameters at one iteration. This proposed method is assumed to accomplish the localization and direct point-based observation task of a wheeled mobile robot, TurtleBot2. Finally, by realistically simulating it and comparing to a conventional method, the proposed method has been showing a better accuracy and stability in term of root mean square error (RMSE) of the estimated map coordinate (EMC) and estimated path coordinate (EPC).

WALL-FOLLOWING BEHAVIOR-BASED MOBILE ROBOT USING PARTICLE SWARM FUZZY CONTROLLER Andi Adriansyah; Shamsudin H. Mohd. Amin
Jurnal Ilmu Komputer dan Informasi Vol 9, No 1 (2016): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Behavior-based control architecture has been broadly recognized due to their compentence in mobile robot development. Fuzzy logic system characteristics are appropriate to address the behavior design problems. Nevertheless, there are problems encountered when setting fuzzy variables manually. Consequently, most of the efforts in the field, produce certain works for the study of fuzzy systems with added learning abilities. This paper presents the improvement of fuzzy behavior-based control architecture using Particle Swarm Optimization (PSO). A wall-following behaviors used on Particle Swarm Fuzzy Controller (PSFC) are developed using the modified PSO with two stages of the PSFC process. Several simulations have been accomplished to analyze the algorithm. The promising performance have proved that the proposed control architecture for mobile robot has better capability to accomplish useful task in real office-like environment.

PERANCANGAN PENGENDALI ROBOT BERGERAK BERBASIS PERILAKU MENGGUNAKAN PARTICLE SWARM FUZZY CONTROLLER Andi Adriansyah
Jurnal Ilmu Komputer dan Informasi Vol 3, No 1 (2010): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Paper ini memaparkan perancangan pengendali robot berbasis perilaku menggunakan Fuzzy, di mana parameter Fuzzy ditala secara otomatis menggunakan Particle Swarm Optimization (PSO) yang diistilahkan dengan Particle Swarm Fuzzy Controller (PSFC). Suatu fungsi tertentu dirancang untuk meningkatkan performa proses pencarian PSO. Fungsi tersebut mengubah harga bobot inersia menjadi berkurang secara sigmoid (Sigmoid Decreasing Inertia Weight). Empat buah perilaku robot dirancang menggunakan PSFC. Kemudian seluruh perilaku tersebut juga dikoordinasikan menggunakan PSFC. Beberapa simulasi pengendalian pergerakan robot dan percobaan dengan robot MagellanPro telah dilakukan untuk menguji performa algoritma yang dirancang. Algoritma lain, Genetic Fuzzy Controller (GFC) digunakan sebagai pembanding. Dari hasil pengujian dapat dikatakan bahwa pengendali yang dirancang memiliki kemampuan yang baik untuk menyelesaikan tugasnya pada suatu lingkungan nyata. This paper describes the design of robots controllers based on behaviour using Fuzzy, in which the Fuzzy parameters are automatically tuned using the Particle Swarm Optimization (PSO) which is termed the Particle Swarm Fuzzy Controller (PSFC). A particular function is designed to improve the performance of PSO search process. That particular function changes the value of the inertia weight, so itâ€™s decreased in sigmoid (Sigmoid Decreasing Inertia Weight). Four types of robots behaviour are designed and coordinated using the PSFC. Some simulation of the robot movement control and experiments with the robot MagellanPro have been conducted to test the performance of the algorithm that have been designed. Another algorithm, Genetic Fuzzy Controller (GFC) is used as a comparison. From the test results, it can be said that the controllers that have been designed, have a good ability to accomplish its task in a real environment.

PERANCANGAN PERGERAKAN ROBOT BAWAH AIR Andi Adriansyah
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 2 (2008): Instrumentational And Robotic
Publisher : Jurusan Teknik Informatika

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Teknologi dan aplikasi robot terus berkembang secara cepa. Akan tetapi, perancangan robot harus mengatasi beberapa masalah. Kompleksitas dan ketidaktahuan yang sempurna tentang lingkungan dan situasi yang akan dihadapi, kemampuan untuk mempresepsikan keadaan berdasarkan informasi yang didapati dari sensor yang terkadang tidak akurat, dan kemampuan mengambil keputusan tentang pergerakannya dalam waktu yang terbatas adalah contohnya. Di sisi lain, kebutuhan terhadap penelitian bawah air cukup tingg., Oleh karena itu, tulisan ini berupaya untuk membahas perancangan robot bawah air yang lebih baik demi mengatasi masalah-msalah yang disebutkan di atas. Perancangan ini difokuskan kepada kemampuan robot untuk bermanuver dan bergerak dengan efektif di bawah air. Agar manuver dan pergerakan robot efektif, maka diajukan suatu arsitektur pengendali tertentu, yaitu arsitektur pengendali robot berbasis perilaku. Beberapa eksperimen akan dilakukan untuk menguji efektifitas manuver dan pergerakan robot bawah air ini.

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

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