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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
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

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BUS TRAVEL TIME IN THE MIXED TRAFFIC BASED ON STATISTICA NEURAL NETWORK Kamaruddin, Ibrahim; Suwardo, Suwardo; Napiah, Madzlan; Wahyunggoro, Oyas
Jurnal Transportasi Vol 10, No 1 (2010)
Publisher : Jurnal Transportasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (176.522 KB)

Abstract

This paper presents the assessment of a number of factors affecting bus travel time and a relationship model between those factors and bus travel time. Statistica Neural Network (SNN) tool is used to solve this complex phenomenon. Data collected include bus travel time, distance, average speed, and number of bus stop. The results show that bus travel time is well predicted using variables of distance, average speed, and number of bus stops. The bus travel time increased due to the increase of distance and number of bus stops, while the higher the average speed from one stop to another, the lower bus travel time.Keywords: bus travel time prediction, distance, average speed of bus, number of bus stop
BUS TRAVEL TIME IN THE MIXED TRAFFIC BASED ON STATISTICA NEURAL NETWORK Kamaruddin, Ibrahim; Suwardo, Suwardo; Napiah, Madzlan; Wahyunggoro, Oyas
Jurnal Transportasi Vol 10, No 1 (2010)
Publisher : Jurnal Transportasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (176.522 KB) | DOI: 10.26593/jt.v10i1.370.%p

Abstract

This paper presents the assessment of a number of factors affecting bus travel time and a relationship model between those factors and bus travel time. Statistica Neural Network (SNN) tool is used to solve this complex phenomenon. Data collected include bus travel time, distance, average speed, and number of bus stop. The results show that bus travel time is well predicted using variables of distance, average speed, and number of bus stops. The bus travel time increased due to the increase of distance and number of bus stops, while the higher the average speed from one stop to another, the lower bus travel time.Keywords: bus travel time prediction, distance, average speed of bus, number of bus stop
EKSTRASI CIRI DAN PENGENALAN SUARA VOKAL BAHASA INDONESIA BERDASARKAN JENIS KELAMIN SECARA REAL TIME Yuliantari, Risky Via; Hidayat, Risanuri; Wahyunggoro, Oyas
Prosiding SNATIF 2016: Prosiding Seminar Nasional Teknologi dan Informatika
Publisher : Prosiding SNATIF

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Abstract

Abstrak Suara manusia memiliki ciri yang beraneka ragam, sehingga dapat dijadikan media komunikasi yang efektif. Oleh karena itu banyak penelitian yang berkaitan dengan suara manusia dilakukan untuk meningkatkan pengenalan suara. Proses pengembangan pengenalan suara dilakukan secara realtime berdasarkan jenis kelamin untuk menghasilkan akurasi yang tepat dalam batas waktu yang telah ditentukan. Metode Discrete Wavelet Transform (DWT) level 3 dan Dynamic Time Wraping (DTW) digunakan sebagai metode ekstrasi ciri dan metode pengenalan suara. Pada metode ekstrasi ciri Discrete Wavelet Transform (DWT) level 3 didapatkan 8 buah ciri. Sedangkan metode pengenalan suara menggunakan Dynamic Time Wraping (DTW) dilakukan dengan menghitung diskriminasi jarak terkecil antara dua ciri yang berbeda tanpa dilakukan pelatihan terlebih dahulu. Pengenalan suara diujikan pada 6 orang penutur pria dan 6 orang penutur wanita secara bergantian dengan masing-masing data pengukuran 900 pasang. Hasil persentase rata-rata pengenalan akurasi terbaik mencapai 54,6% dari pengujian terhadap 6 orang penutur pria secara bergantian dan 54,17 % dari pengujian terhadap 6 orang penutur wanita secara bergantian dari masing-masing pasangan data yang diperoleh secara realtime. Kata Kunci : Dynamic Time Warping, DTW, Discrete Wavelet Transform, DWT, Realtime.
PENGENALAN TUTUR VOKAL BAHASA INDONESIA MENGGUNAKAN METODE MULTI LAYER PERCEPTRON Yuliantari, Risky Via; Hidayat, Risanuri; Wahyunggoro, Oyas; Nugroho, Anan
Jurnal Teknologi Vol 9 No 2 (2016): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

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Abstract

Bahasa Indonesia merupakan bahasa nasional bangsa Indonesia yang dapat diartikan sebagai lambang bunyi yang digunakan sebagai alat komunikasi. Dalam proses komunikasi tersebut dapat diperoleh sebuah informasi berupa isyarat. Banyak penelitian tentang isyarat tutur Indonesia. Pada penelitian ini dikembangkan otomatisasi pengenalan isyarat vokal Indonesia dengan Multi Layer Perceptron untuk meningkatkan akurasi, sensitifitas, spesifitas dan presisi. Pengenalan dilakukan dengan Discrete Wavelet Transform pada 100 orang penutur menghasilkan 500 data ciri untuk training dan testing. Proses klasifikasi menghasilkan akurasi sebesar 95,9%, sensitifitas 90,2%, spesifitas 97,5%, dan presisi 89,8%.
Comparative Study Between Internal Ohmic Resistance and Capacity for Battery State of Health Estimation Ramadan, M. Nisvo; Pramana, Bhisma Adji; Widayat, Sigit Agung; Amifia, Lora Khaula; Cahyadi, Adha; Wahyunggoro, Oyas
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 2 (2015)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (661.588 KB) | DOI: 10.14203/j.mev.2015.v6.113-122

Abstract

In order to avoid battery failure, a battery management system (BMS) is necessary. Battery state of charge (SOC) and state of health (SOH) are part of information provided by a BMS. This research analyzes methods to estimate SOH based lithium polymer battery on change of its internal resistance and its capacity. Recursive least square (RLS) algorithm was used to estimate internal ohmic resistance while coloumb counting was used to predict the change in the battery capacity. For the estimation algorithm, the battery terminal voltage and current are set as the input variables. Some tests including static capacity test, pulse test, pulse variation test and before charge-discharge test have been conducted to obtain the required data. After comparing the two methods, the obtained results show that SOH estimation based on coloumb counting provides better accuracy than SOH estimation based on internal ohmic resistance. However, the SOH estimation based on internal ohmic resistance is faster and more reliable for real application
Design and Implementation of a Magnetic Levitation System Controller using Global Sliding Mode Control Uswarman, Rudi; Cahyadi, Adha Iman; Wahyunggoro, Oyas
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 5, No 1 (2014)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (960.635 KB) | DOI: 10.14203/j.mev.2014.v5.17-26

Abstract

This paper presents global sliding mode control and conventional sliding mode control for stabilization position of a levitation object. Sliding mode control will be robusting when in sliding mode condition. However, it is not necessarily robust at attaining phase. In the global sliding mode control, the attaining motion phase was eliminated, so that the robustness of the controller can be improved. However, the value of the parameter uncertainties needs to be limited. Besides that, the common problem in sliding mode control is high chattering phenomenon. If the chattering is too large, it can make the system unstable due the limited ability of electronics component. The strategy to overcome the chattering phenomenon is needed. Based on simulation and experimental results, the global sliding mode control has better performance than conventional sliding mode control.  
EKSTRASI CIRI DAN PENGENALAN SUARA VOKAL BAHASA INDONESIA BERDASARKAN JENIS KELAMIN SECARA REAL TIME Yuliantari, Risky Via; Hidayat, Risanuri; Wahyunggoro, Oyas
Prosiding SNATIF 2016: Prosiding Seminar Nasional Teknologi dan Informatika
Publisher : Prosiding SNATIF

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

Abstract

Abstrak Suara manusia memiliki ciri yang beraneka ragam, sehingga dapat dijadikan media komunikasi yang efektif. Oleh karena itu banyak penelitian yang berkaitan dengan suara manusia dilakukan untuk meningkatkan pengenalan suara. Proses pengembangan pengenalan suara dilakukan secara realtime berdasarkan jenis kelamin untuk menghasilkan akurasi yang tepat dalam batas waktu yang telah ditentukan. Metode Discrete Wavelet Transform (DWT) level 3 dan Dynamic Time Wraping (DTW) digunakan sebagai metode ekstrasi ciri dan metode pengenalan suara. Pada metode ekstrasi ciri Discrete Wavelet Transform (DWT) level 3 didapatkan 8 buah ciri. Sedangkan metode pengenalan suara menggunakan Dynamic Time Wraping (DTW) dilakukan dengan menghitung diskriminasi jarak terkecil antara dua ciri yang berbeda tanpa dilakukan pelatihan terlebih dahulu. Pengenalan suara diujikan pada 6 orang penutur pria dan 6 orang penutur wanita secara bergantian dengan masing-masing data pengukuran 900 pasang. Hasil persentase rata-rata pengenalan akurasi terbaik mencapai 54,6% dari pengujian terhadap 6 orang penutur pria secara bergantian dan 54,17 % dari pengujian terhadap 6 orang penutur wanita secara bergantian dari masing-masing pasangan data yang diperoleh secara realtime. Kata Kunci : Dynamic Time Warping, DTW, Discrete Wavelet Transform, DWT, Realtime.
Attitude Control of Quadrotor Using PD Plus Feedforward controller on SO(3) Almido H Ginting; Oyas Wahyunggoro; Adha Imam Cahyadi
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 1: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (901.839 KB) | DOI: 10.11591/ijece.v8i1.pp566-575

Abstract

This paper proposes a simple scheme of Proportional-Derivative (PD) plus Feedforward controller on SO(3) to control the attitude of a quadrotor. This controller only needs the measurement of angular velocity to calculate the exponential coordinates of the rotation matrix. With rotation matrix as an error variable of the controller, the simulation shows that the controller is able to drive the attitude of the quadrotor from hovering condition to desired attitude and from an attitude condition goes to the hovering condition, despite the system is disturbed. When the system is convergent, the rotation error matrix will be a 3x3 identity matrix.
Combination a Skeleton Filter and Reduction Dimension of Kernel PCA Based on Palmprint Recognition Muhammad Kusban; Adhi Susanto; Oyas Wahyunggoro
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 6: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3999.933 KB) | DOI: 10.11591/ijece.v6i6.pp3255-3261

Abstract

Palmprint identification is part of biometric recognition, which attracted many researchers, especially when fusion with face identification that will be applied in the airport to hasten knowing individual identity. To accelerate the process of verification feature palms, dimension reduction method is the dominant technique to extract the feature information of palms.The mechanism will boost if the ROI images are processed prior to get normalize image enhancement.In this paper with three sample input database, a kernel PCA method used as a dimension reduction compared with three others and a skeleton filter used as a image enhancement method compared with six others. The final results show that the proposed method successfully achieve the target in terms of the processing time of $ 0.7415 $ second, the EER performance rate of 0.19 % and the success of verification process about 99,82 %.
Path Planning Based on Fuzzy Decision Trees and Potential Field Iswanto Iswanto; Oyas Wahyunggoro; Adha Imam Cahyadi
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 1: February 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (367.221 KB) | DOI: 10.11591/ijece.v6i1.pp212-222

Abstract

The fuzzy logic algorithm is an artificial intelligence algorithm that uses mathematical logic to solve to by the data value inputs which are not precise in order to reach an accurate conclusion. In this work, Fuzzy decision tree (FDT) has been designed to solve the path planning problem by considering all available information and make the most appropriate decision given by the inputs. The FDT is often used to make a path planning decision in graph theory. It has been applied in the previous researches in the field of robotics, but it still shows drawbacks in that the robot will stop at the local minima and is not able to find the shortest path. Hence, this paper combines the FDT algorithm with the potential field algorithm. The potential field algorithm provides weight to the FDT algorithm which enables the robot to successfully avoid the local minima and find the shortest path.
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