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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Transportasi Jurnal Teknologi Prosiding SNATIF International Journal of Advances in Intelligent Informatics ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Proceeding of the Electrical Engineering Computer Science and Informatics Techne : Jurnal Ilmiah Elektroteknika Communications in Science and Technology Buletin Ilmiah Sarjana Teknik Elektro IJITEE (International Journal of Information Technology and Electrical Engineering) Indonesian Journal of Electrical Engineering and Computer Science International Journal of Quantitative Research and Modeling Teknika STTKD: : Jurnal Teknik, Elektronik, Engine Automotive Experiences

Oyas Wahyunggoro

Univeristas Gadjah Mada

Author-ID : 411173

Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

Published : 38 Documents Claim Missing Document

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EKSTRAKSI CIRI DAN PENGENALAN TUTUR VOKAL BAHASA INDONESIA MENGGUNAKAN METODE DISCRETE WAVELET TRANSFORM (DWT) DAN DYNAMIC TIME WARPING (DTW) SECARA REALTIME Risky Via Yuliantari; Risanuri Hidayat; Oyas Wahyunggoro
Prosiding SNST Fakultas Teknik Vol 1, No 1 (2016): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 7 2016
Publisher : Prosiding SNST Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (451.586 KB)

Pada paper ini disajikan tentang pengembangan sebuah sistem pengenalan isyarat vokal bahasa Indonesia secara realtime. Pada pengenalan isyarat vokal bahasa Indonesia secara konvensional memberikan akurasi yang tinggi. Oleh karena itu, pada penelitian ini dilakukan pengembangan proses pengenalan dilakukan secara realtime yang diterapkan pada vokal bahasa Indonesia. Metode ekstrasi ciri yang digunakan adalah Discrete Wavelet Transform (DWT) level 3 dan Dynamic Time Wraping (DTW) sebagai metode pengenalan isyarat vokal bahasa Indonesia. Pada metode ekstrasi ciri Discrete Wavelet Transform (DWT) level 3 didapatkan 8 buah ciri. Sedangkan metode pengenalan menggunakan Dynamic Time Wraping (DTW) dilakukan dengan menghitung diskriminasi jarak terkecil dan tanpa adanya pelatihan terlebih dahulu. Hasil pengenalan menggunakan metode DWT level 3 menunjukkan akurasi terbaik sebesar 80 %. Dari hasil pengenalan tersebut dilakukan pengujian terhadap 5 penutur yang berbeda secara bergantian sebagai data referensi, sehingga diperoleh 500 pasang data pengukuran. Hasil persentase rata-rata pengenalan dengan akurasi terbaik dari pengujian 5 penutur yang berbeda mencapai 87,2% dari 500 pasang data yang diperoleh secara realtime. Kata Kunci : Dynamic Time Warping, DTW, Discrete Wavelet Transform, DWT, Realtime.

IMPLEMENTASI MICROKONTROLLER UNTUK SISTEM KENDALI KECEPATAN BRUSHLESS DC MOTOR MENGGUNAKAN ALGORITMA HYBRID PID FUZZY Roedy Kristiyono; Oyas Wahyunggoro; Prapto Nugroho
Prosiding SNST Fakultas Teknik Vol 1, No 1 (2015): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 6 2015
Publisher : Prosiding SNST Fakultas Teknik

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Motor BLDC secara luas digunakan pada banyak aplikasi industri karena mempunyai efisiensi tinggi, torsi tinggi dan volume noise yang rendah. Pengendalian kecepatan Motor BLDC merupakan suatu proses yang rumit. Tetapi kerumitan yang dilakukan sebanding dengan unjuk kerja dari Motor BLDC yang tinggi. Kendali PID konvensional terbukti mampu menunjukkan kinerja yang baik pada pengendalian dengan pembebanan tertentu pada plant. Tetapi setiap terjadi perubahan beban pada plant, kendali PID konvensional harus dilakukan set ulang parameter kp, ki dan kd untuk dapat menuju ke keadaan steady state sesuai dengan set point yang diinginkan. Tujuan penelitian ini adalah merancang peralatan kendali untuk Motor BLDC yang dapat menala parameter PID secara otomatis oleh logika fuzzy. Dalam penelitian digunakan mikrokontroler AVR RISC sebagai pusat kendali. Sedangkan perangkat lunak digunakan untuk algoritma pemrograman kendali PID dan kendali hybrid PID fuzzy dengan bahasa C. Agar dapat menala parameter PID yang tepat secara waktu nyata, maka dibuat sistem kendali dua aras. Aras pertama menentukan parameter PID dengan mencari batas minimal dan maksimal nilai kp, ki dan kd dengan metode kurva reaksi. Aras kedua merancang sistem fuzzy agar dapat menala penguatan PID secara otomatis, kemudian memformulasikan kedalam kombinasi 49 aturan if-then fuzzy untuk mendapatkan nilai kp, ki dan kd yang tepat dari perubahan nilai error dan delta error. Pengujian perubahan set point dan perubahan beban dihasilkan karakteristik respon sistem kendali PID konvensional dengan nilai rata-rata yaitu waktu kenaikan (tr) 0.025 detik, waktu penetapan (ts) 0.1625 detik, overshoot sebesar 15.98%. Sedangkan kendali Hybrid PID Fuzzy dihasilkan nilai rata-rata waktu kenaikan (tr) 0.0025 detik, waktu penetapan (ts) 0.057 detik, overshoot sebesar 5.42%. Kata kunci : Auto-tuning, Brushless DC Motor, Fuzzy, Pengendalian, PID

Optimization of Straight Movement 6 Dof Robot Arm With Genetic Algorithm R Suryoto Edy Raharjo; Oyas Wahyunggoro; Priyatmadi .
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

This paper proposes a genetic algorithm (GA) to optimize the straight movement of the robot arm for 6 DOF. The objective function of the GA is proposed to find the optimal values of the movement of the robot arm in a straight line trajectory. As more and more levels of Degree of Freedom (DoF), the more difficult to achieve precision, especially during straight motion from the starting point (initial point) to the point of destination (final point), which is affected by the determination of the swivel angle of each actuator, the linearity of the trajectory length straight-effector motion, and the number of Intermediate Point required. Forward kinematics is used to find the coordinates of the end effector, and a linear function of a straight line from the starting point (initial point) to the point of destination (final point) is used as the objective function of GA.

Detection and Identification of Detonation Sounds in an Internal Combustion Engine using Wavelet and Regression Analysis Agus Sujono; R. Soekrisno; Eka Firmansyah; Oyas Wahyunggoro
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Improving efficiency and power in an internal combustion engine is always impeded by detonation (knock) problems. This detonation problem has not been explained fully yet. Quick and accurate detection of detonation is also in the development stage. This research used a new method of detonation sound detection which uses microphone sensors, analysis of discrete wavelet transform (DWT), and analysis of the regression function envelope to identify the occurrence of detonation. The engine sound was captured by the microphone; it was recorded on a computer; it was proceeded using a DWT decomposition filtering technique; it was then subjected to normalization and regression function envelope to get the shape of the wave pattern for the vibration. Vibrational wave patterns were then compared to a reference using the Euclidean distance calculation method, in order to identify and provide an assessment decision as to whether or not detonation had occurred. The new method was applied using Matlab and it has yielded results which are quite effective for the detection and identification of detonation and it is also capable of producing an assessment decision about the occurrance of detonation.

Current Sensorless Microcontroller-Based Battery Management System with SOC and Active Cell Balancing Muhammad Fikri Ardiansyah; Adha Imam Cahyadi; Oyas Wahyunggoro
International Journal of Quantitative Research and Modeling Vol 2, No 1 (2021)
Publisher : Research Collaboration Community (RCC)

Battery management system (BMS) has become an important research topic following the trend and development of the electric vehicle. Although research on Active Cell Balancing, SOC, and current estimation has been carried out, the previous work mostly focused on comparing and developing methods. In this research, we demonstrate the process of designing BMS hardware using a low-cost microcontroller and without using a current sensor. The SOC simulation results produce an RMSE of 0.0832% for the 100% -10% SOC-OCV curve, and the current estimation simulation produces an RMSE of 0.2576 A, while for testing using a 6-ohm pulse load, the RMSE error value is 0.3960 A. The Active Cell Balancing method was successfully performed in simulation with Simulink. Furthermore, our simulation and test results suggest that complex battery models and multiple SOC-OCV curves can be used for better current and OCV estimation results. Our experimental results are also useful to develop a guideline to design a microcontroller-based BMS.

Online Battery Parameter And Open Circuit Voltage (OCV) Estimation Using Recursive Least Square (RLS) Harmoko Harmoko; Dani Prasetyo; Sigit Agung Widayat; Lora Khaula Amifia; Bobby Rian Dewangga; Adha Imam Cahyadi; Oyas Wahyunggoro
Techné : Jurnal Ilmiah Elektroteknika Vol. 15 No. 01 (2016)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

After decades, the battery usage has been widespread for many applications, especially in the field of Electric Vehicle (EV). The battery is a very important component in the EV. Because the battery as the primary power source replacement of the fossil fuel. Therefore, the condition of the batteries should be always in good condition. To prevent failure of the battery for battery management system (BMS) is needed. BMS is a system to regulate the use of the battery and protects the battery from the failure of the battery supply. Many factors can be monitored at BMS, one of which is a State of Charge (SOC). SOC determination is directly related to the estimated OCV (Open Circuit Voltage). The accuracy of the estimation algorithms depend on the accuracy of the model selection to describe the dynamic characteristics of the battery. This study begins with the selection of the right model (fig.1, fig.2, fig.3) for estimating OCV. Selection of appropriate model using RLS algorithm for estimate the battery terminal voltage. Parameter that reference for determining the selection of the model is the max, min, mean, RMSE, mean RMSE of the error. Later models have been used to estimate the OCV. The result based on this research shows that modeling with n = 1 is the best result to be used in model parameter estimation and OCV battery in term of the smaller max, min, mean, rmse error. This research also show us that RLS algorithm can be estimate the parameters of the batery, OCV (fig.4), and terminal voltage of the battery with an error less than 0.1%

DC Motor Speed Control Using Hybrid PID-Fuzzy with ITAE Polynomial Initiation Hari Wibawa; Oyas Wahyunggoro; Adha Imam Cahyadi
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 3, No 1 (2019): March 2019
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

DC motors are widely applied in industrial sector, especiallyprocesses of automation and robotics. Given its role in the sector, DC motor operation needs to be optimized. One of optimization steps is controlling speed using several control methods, for example conventional PID methods, PID Ziegler Nichols, PID based on ITAE polynomials, and Hybrid PID-Fuzzy. From these methods, Hybrid PID-Fuzzy was chosen as a method to be proposed in this paper because it can anticipate shortcomings of PID controllers and fuzzy controllers so as to produce system responses that are fast and adaptive to errors. This paper aimed to design a Hybrid PID-Fuzzy system based on ITAE polynomials (Hybrid-ITAE), to analyze its performance parameters values, and tp compare Hybrid-ITAE performance with conventional PID method. Working parameters being reviewed include overshoot, rise time, settling time, and ITAE. First of all, JGA25-370 DC motor was modeled in a form of a third order transfer function equation. Based on the transfer function, PID parameters were calculated using PID Output Feedback and ITAE polynomial methods. The best ITAE polynomial PID controllers were then be combined with a Fuzzy Logic Controller to form a Hybrid-ITAE system. Simulation and experimental stages were carried out in two conditions, namely no load and loaded. Simulation and experimental results showed that Hybrid-ITAE (l = 0.85) was the best controller for no-load simulation conditions. For loaded simulation Hybrid-ITAE (l=1) was a better controller. In no-loads experiment, the best controller was Hybrid PID-Ziegler Nichols, while for loaded condition the best controller was Hybrid PID-Ziegler Nichols.

Kalman Filter to Improve Performance of PID Control Systems on DC Motors Seta Yuliawan; Oyas Wahyunggoro; Nurman Setiawan
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 3 (2021): September 2021
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijitee.64511

A proportional–integral–derivative (PID) controller is a type of control system that is most widely applied in industrial world. Various tuning models have been developed to obtain optimal performance in PID control. However, the methods are designed under ideal circumstances. This means that the control system which has been built will not work optimally when noise exists. Noise can come from electrical vibrations, inference of electronic components, or other noise sources. Thus, it is necessary to design PID control system that can work optimally without being disturbed by noise. In this research, Kalman filter was used to improve the performance of PID controllers. The application of Kalman filter was used to reduce the noise of the input signal so that it could generate output signal which is in accordance with the expected output. Simulation result showed that the PID performance with Kalman filter was more optimal than the ordinary one to minimize the existing noise. The resulting speed of DC motor with Kalman filter had a lower overshoot than PID control without Kalman filter. This method resulted lower integral of absolute error (IAE) than ordinary PID controls. The IAE value for the PID controller with the Kalman filter was 25.4, the PID controller with the observer was 31.0, while the IAE value in the ordinary controller was only 60.9.

Power Optimization of Spark Ignition Engine by Fuzzy Logic Ignition Controller Based on Knock Detection Agus Sujono; Raden Soekrisno; Eka Firmansyah; Oyas Wahyunggoro
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

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

Spark ignition engines have many advantages, but to increase the power and efficiency, they have a problem to set the right ignition timing, at which the maximum power can be delivered. In reality, the optimum ignition time is immediately prior to, or close to, the moment of detonation (knock). On the other hand, the value of this optimum ignition timing is dependent primarily on the rotation of the crank shaft and the level of throttle openings. To provide the right timing proficiency level, it is very difficult to overcome the mechanical control system as found in conventional engines. So, in this study, a new electro-mechanical method based on Fuzzy Logic Ignition Controller (FLIC) which follows the pattern of the timing in the detonation chart was created. The results of the FLIC study, in fact, are able to provide correction for each spark plug ignition, according to the data on the chart of the optimal ignition timings for all combinations of engine rotations and throttle openings. From the final data recorded, it can be said that the FLIC influence on the power output which increases of up to 15% above normal. DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7597

DESAIN LAMPU LALU LINTAS ADAPTIF DENGAN KENDALI LOGIKA FUZZY Erwan Eko Prasetiyo; Oyas Wahyunggoro
Teknika STTKD: : Jurnal Teknik, Elektronik, Engine Vol 2 No 2 (2015): Teknika STTKD: Jurnal Teknik, Elektronik, Engine
Publisher : Sekolah Tinggi Teknologi Kedirgantaraan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (797.501 KB)

Kinerja lampu lalu lintas sebagai pengatur arus lalu lintas kendaraan di persimpangan perlu ditingkatkan, seiring semakin meningkatnya kepadatan jalan di persimpangan. Sistem pengendali lampu lalu lintas adaptif perlu dikembangkan untuk mengurangi jumlah antrian kendaraan dan waktu tunggu. Penelitian ini mengusulkan sistem pengendali lampu lalu lintas adaptif dengan tiga tahap penentu keputusan. Tahap pertama untuk menentukan urutan fase hijau berdasarkan jumlah antrian terbanyak. Tahap kedua untuk menentukan durasi sinyal hijau berdasarkan jumlah antrian kendaraan dan laju aliran kendaraan datang. Durasi sinyal hijau ditentukan menggunakan kendali logika fuzzy dengan 18 aturan. Tahap ketiga untuk menentukan keputusan apakah akan melanjutkan atau menghentikan fase hijau berdasarkan batas waktu tunggu maksimal atau batas jumlah antrian minimal. Sistem pengendali lampu lalu lintas adaptif pada penelitian ini terdiri atas detector, next phase module, green phase module, terminate module, switch module dan traffic lights. Hasil simulasi menunjukkan bahwa sistem yang diusulkan dapat bekerja secara adaptif, dapat mengurangi jumlah antrian kendaraan sebesar 60,76 % dan waktu tunggu sebesar 71,23 % terhadap sistem waktu tetap, dapat mengurangi jumlah antrian kendaraan sebesar 44,81 % dan waktu tunggu sebesar 3,63 % terhadap sistem adaptif satu penentu keputusan, dan dapat mengurangi jumlah antrian kendaraan sebesar 40,79 % dan waktu tunggu sebesar 41,11 % terhadap sistem adaptif dua penentu keputusan.

Co-Authors ., Priyatmadi Adha Cahyadi Adha Cahyadi, Adha Adha Imam Cahyadi Adha Iman Cahyadi Adha Iman Cahyadi Adhi Susanto Agus Sujono Agus Sujono Awang Hendrianto Pratomo Bhisma Adji Pramana Bhisma Adji Pramana, Bhisma Adji Bobby Rian Dewangga Bwo Ren Ke Dani Prasetyo Daniel Santoso Edy Raharjo, R Suryoto Eka Firmansyah Eka Firmansyah Erwan Eko Prasetiyo Ginting, Almido Almido Haryanto Hanifah Rahmi Fajrin, Hanifah Rahmi Hanung Adi Nugroho Hari Maghfiroh Hari Wibawa Harmoko Harmoko Ibrahim Kamaruddin Ibrahim Kamaruddin Indah Soesanti Irwan Novianto Iswanto Iswanto Kartika Firdausy Kuo Lung Lian Kusban, Muhammad Lora Khaula Amifia Lukito Edi Nugroho M. Nisvo Ramadan M. Nisvo Ramadan, M. Nisvo Madzlan Napiah Madzlan Napiah Maghfiroh, Hari Muhammad Bayu Sasongko Muhammad Fikri Ardiansyah Noor Akhmad Setiawan Nugroho, Anan Nurman Setiawan Prapto Nugroho Prapto Nugroho Prayadi Sulistyanto Priyatmadi . R Suryoto Edy Raharjo R. Soekrisno Risanuri Hidayat Risky Via Yuliantari Roedy Kristiyono Rudi Uswarman Sajiah, Adha Mashur Seta Yuliawan Sigit Agung Widayat Sigit Agung Widayat, Sigit Agung Soekrisno, R. Sujono, Agus Surriani, Atikah Suwardo Suwardo Suwardo Suwardo Syifaun Nafisah Triharminto, Hendri Himawan Widyawati Prima, Widyawati

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