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An improved control for MPPT based on FL-PSo to minimize oscillation in photovoltaic system Aji Akbar Firdaus; Riky Tri Yunardi; Eva Inaiyah Agustin; Sisca D. N. Nahdliyah; Teguh Aryo Nugroho
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Photovoltaic (PV) is a source of electrical energy derived from solar energy and has a poor level of efficiency. This efficiency is influenced by PV condition, weather, and equipments like Maximum Power Point Tracking (MPPT). MPPT control is widely used to improve PV efficiency because MPPT can produce optimal power in various weather conditions. In this paper, MPPT control is performed using the Fuzzy Logic-Particle Swarm Optimization (FL-PSO) method. This FL-PSO is used to get the Maximum Power Point (MPP) and minimize the output power oscillation from PV. From the simulation results using FL-PSO, the values of voltage, and output power from the boost converter are 183.6 V, and 637.7 W, respectively. The ripple of output power from PV with FL-PSO is 69.5 W. Then, the time required by FL-PSO reaches MPP is 0.354 s. Compared with MPPT control based on the PSO method, the MPPT technique using FL-PSO indicates better performance and faster than the PSO.

Object detection for KRSBI robot soccer using PeleeNet on omnidirectional camera Winarno Winarno; Ali Suryaperdana Agoes; Eva Inaiyah Agustin; Deny Arifianto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 4: August 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i4.15009

Kontes Robot Sepak Bola Indonesia (KRSBI) is an annual event for contestants to compete their design and robot engineering in the field of robot soccer. Each contestant tries to win the match by scoring a goal toward the opponent's goal. In order to score a goal, the robot needs to find the ball, locate the goal, then kick the ball toward goal. We employed an omnidirectional vision camera as a visual sensor for a robot to perceive the object’s information. We calibrated streaming images from the camera to remove the mirror distortion. Furthermore, we deployed PeleeNet as our deep learning model for object detection. We fine-tuned PeleeNet on our dataset generated from our image collection. Our experiment result showed PeleeNet had the potential for deep learning mobile platform in KRSBI as the object detection architecture. It had a perfect combination of memory efficiency, speed and accuracy.

Application of EMG and Force Signals of Elbow Joint on Robot-assisted Arm Training Riky Tri Yunardi; Eva Inaiyah Agustin; Risalatul Latifah; Winarno Winarno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.11707

Flexion-extension based on the system's robotic arm has the potential to increase the patient's elbow joint movement. The force sensor and electromyography signals can support the biomechanical system to detect electrical signals generated by the muscles of the biological. The purpose of this study is to implement the design of force sensor and EMG signals application on the elbow flexion motion of the upper arm. In this experiments, the movements of flexion at an angle of 45º, 90º and 135º is applied to identify the relationship between the amplitude of the EMG and force signals on every angle. The contribution of this research is for supporting the development of the Robot-Assisted Arm Training. The correlation between the force signal and the EMG signal from the subject studied in the elbow joint motion tests. The application of sensors tested by an experimental on healthy subjects to simulating arm movement. The experimental results show the relationship between the amplitude of the EMG and force signals on flexion angle of the joint mechanism for monitoring the angular displacement of the robotic arm. Further developments in the design of force sensor and EMG signals are potentially for open the way for the next researches based on the physiological condition of each patient.

Short-term photovoltaics power forecasting using Jordan recurrent neural network in Surabaya Aji Akbar Firdaus; Riky Tri Yunardi; Eva Inaiyah Agustin; Tesa Eranti Putri; Dimas Okky Anggriawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14816

Photovoltaic (PV) is a renewable electric energy generator that utilizes solar energy. PV is very suitable to be developed in Surabaya, Indonesia. Because Indonesia is located around the equator which has 2 seasons, namely the rainy season and the dry season. The dry season in Indonesia occurs in April to September. The power generated by PV is highly dependent on temperature and solar radiation. Therefore, accurate forecasting of short-term PV power is important for system reliability and large-scale PV development to overcome the power generated by intermittent PV. This paper proposes the Jordan recurrent neural network (JRNN) to predict short-term PV power based on temperature and solar radiation. JRNN is the development of artificial neural networks (ANN) that have feedback at each output of each layer. The samples of temperature and solar radiation were obtained from April until September in Surabaya. From the results of the training simulation, the mean square error (MSE) and mean absolute percentage error (MAPE) values were obtained at 1.3311 and 34.8820, respectively. The results of testing simulation, MSE and MAPE values were obtained at 0.9858 and 1.3311, with a time of 4.591204. The forecasting has minimized significant errors and short processing times.

Voice recognition system for controlling electrical appliances in smart hospital room Eva Inaiyah Agustin; Riky Tri Yunardi; Aji Akbar Firdaus
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.11781

Nowadays, most hospitals have new problem that is lack of medical nurse due to the number of patient increas rapidly. The patient especially with physical disabilities are difficult to control the switch on electrical appliances in patient’s room. This research aims to develope voice recognition based home automation and being applied to patient room. A miniature of patient’s room are made to simulate this system. The patient's voice is received by the microphone and placed close to the patient to reduce the noise.V3 Voice recognition module is used to voice recognition process. Electrical bed of patient is represented by mini bed with utilising motor servo. The lighting of patient room is represented by small lamp with relay. And the help button to call the medical nurse is represented by buzzer. Arduino Uno is used to handle the controlling process. Six basic words with one syllable are used to command for this system. This system can be used after the patient's voice is recorded. This system can recognize voice commands with an accuracy 75%. The accuracy can be improved up to 85% by changing the voice command into two syllables with variations of vowels and identical intonation. Higher accuracy up to 95% can be reached by record all the subject’s voice.

Robotic Leg Design to Analysis the Human Leg Swing from Motion Capture Riky Tri Yunardi; Aji Akbar Firdaus; Eva Inaiyah Agustin
Bulletin of Electrical Engineering and Informatics Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

In this paper presented the prototype of robotic leg has been designed, constructed and controlled. These prototype are designed from a geometric of human leg model with three joints moving in 2D plane. Robot has three degree of freedom using DC servo motor as a joint actuators: hip, knee and ankle. The mechanical leg constructed using aluminum alloy and acrylic material. The control movement of this system is based on motion capture data stored on a personal computer. The motions are recorded with a camera by use of a marker-based to track movement of human leg. Propose of this paper is design of robotic leg to present the analysis of motion of the human leg swing and to testing the system ability to create the movement from motion capture. The results of this study show that the design of robotic leg was capable for practical use of the human leg motion analysis. The accuracy of orientation angles of joints shows the average error on hip is 1.46º, knee is 1.66º, and ankle is 0.46º. In this research suggesting that the construction of mechanic is an important role in the stabilization of the movement sequence.

Robotic Leg Design to Analysis the Human Leg Swing from Motion Capture Riky Tri Yunardi; Aji Akbar Firdaus; Eva Inaiyah Agustin
Bulletin of Electrical Engineering and Informatics Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

In this paper presented the prototype of robotic leg has been designed, constructed and controlled. These prototype are designed from a geometric of human leg model with three joints moving in 2D plane. Robot has three degree of freedom using DC servo motor as a joint actuators: hip, knee and ankle. The mechanical leg constructed using aluminum alloy and acrylic material. The control movement of this system is based on motion capture data stored on a personal computer. The motions are recorded with a camera by use of a marker-based to track movement of human leg. Propose of this paper is design of robotic leg to present the analysis of motion of the human leg swing and to testing the system ability to create the movement from motion capture. The results of this study show that the design of robotic leg was capable for practical use of the human leg motion analysis. The accuracy of orientation angles of joints shows the average error on hip is 1.46º, knee is 1.66º, and ankle is 0.46º. In this research suggesting that the construction of mechanic is an important role in the stabilization of the movement sequence.

Robotic Leg Design to Analysis the Human Leg Swing from Motion Capture Riky Tri Yunardi; Aji Akbar Firdaus; Eva Inaiyah Agustin
Bulletin of Electrical Engineering and Informatics Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

In this paper presented the prototype of robotic leg has been designed, constructed and controlled. These prototype are designed from a geometric of human leg model with three joints moving in 2D plane. Robot has three degree of freedom using DC servo motor as a joint actuators: hip, knee and ankle. The mechanical leg constructed using aluminum alloy and acrylic material. The control movement of this system is based on motion capture data stored on a personal computer. The motions are recorded with a camera by use of a marker-based to track movement of human leg. Propose of this paper is design of robotic leg to present the analysis of motion of the human leg swing and to testing the system ability to create the movement from motion capture. The results of this study show that the design of robotic leg was capable for practical use of the human leg motion analysis. The accuracy of orientation angles of joints shows the average error on hip is 1.46º, knee is 1.66º, and ankle is 0.46º. In this research suggesting that the construction of mechanic is an important role in the stabilization of the movement sequence.

Line Follower Robot Training and Introduction of Internet of Things (IoT) for Students in Jombang City Eva Inaiyah Agustin; Riky Tri Yunardi; Winarno Winarno
Darmabakti Cendekia: Journal of Community Service and Engagements Vol. 1 No. 2 (2019): December 2019
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Background: During the Industrial Revolution 4.0, the Internet of Things (IoT) is the main pillar of people and machines connected to each other. It can be an intelligent system when combined with a robot. This is what underlies the importance of robotics and IoT training, especially to be introduced early on. Purpose: This activity aimed to improve students' knowledge and skills in technology. The target of this activity is high school students in Jombang City. Methods: It starts from the planning, implementation, and evaluation stages. Auditory, visual and kinesthetic techniques are used in this activity, which is in the form of interesting learning media such as power points, videos, as well as demonstrations and practices. Data collection techniques such as questionnaires, pre-test, and post-test, and running tests were carried out to measure the level of skills, knowledge, and satisfaction of participants. Results: A total of 85% of participants did not know about IOT and 83% of the participants already know what the robot. But only 17% ever make robots. Conclusion: After this activity the participants' understanding increased by 20%. Their skills also increased as evidenced by the participants programming themselves so that the robot can run well on the track.

INCREASING PUBLIC PARTICIPATION TO PREVENT THE SPREAD OF COVID-19 IN DUKUH KUPANG SURABAYA Winarno; Deny Arifianto; Myrna Adianti; Eva Inaiyah Agustin; Sisca Dina Nur Nahdliyah; Elsyea Adia Tunggadewi; Ali Suryaperdana Agoes
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 6 No. 1 (2022): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jlm.v6i1.2022.235-243

Novel Coronavirus 2019 (covid-19) is a generation of the coronavirus that humans have never identified. This virus was first reported to cause an outbreak in Wuhan, China, in December 2019. Until now, covid-19 infection cases have been reported in many countries, such as Thailand, Japan, South Korea, Iran, Italy, Germany, and more than 90 countries worldwide. Until November 1, 2020, a total of 412.784 positive cases of covid-19 were recorded, with 341.942 recovered patients and 13.943 deaths in Indonesia. The purpose of this event is to anticipate the spread of Covid-19 by reminding the public to maintain health protocols and other alternatives in preserving health, also increasing body immunity through massage and traditional Indonesian herbal medicine. This event received a good response from the public. It was evidenced by the number of participants exceeding the predetermined quota and enthusiastic in following the speaker's material. The event was a success and was well received by the participants as well as the local government. After following this event, participants can practise the knowledge obtained from the presenters to maintain and protect their health and immunity from Covid-19. Keywords: Covid-19, Community service, body immunity DAFTAR PUSTAKA Amri, Sofan. Iif Khoiru Ahmadi. 2010. Proses Pembelajaran Kreatif dan Inovatif Dalam Kelas: Metode, Landasan Teoritis-Praktis dan Penerapannya. Jakarta: PT. Prestasi Pustakaraya. Badan Pusat Statistik Kota Surabaya. “Jumlah RT RW Kecamatan Dukuh Pakis Menurut Kelurahan Tahun 2017”. surabayakota.bps.go.id. https://surabayakota.bps.go.id/statictable/2018/04/19/594/jumlah-rt-rw-kecamatan-dukuh-pakis-menurut-kelurahan-tahun-2017.html. (diakses 15 Desember 2020). Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z. 2020. “Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China”. Lancet 2020: 395: 497-506. doi: https://doi.org/10.1016/S0140-6736(20)30183-5. Kementerian Kesehatan Republik Indonesia. 2020. Pedoman Kesiapsiagaan Menghadapi Coronavirus Disease (covid-19). Jakarta: Direktorat Jenderal Pencegahan dan Pengendalian Penyakit (P2P). Komite Penanganan Covid-19 dan Pemulihan Ekonomi Nasional. “Pasien Sembuh Harian Mencapai 4.141 Orang”. covid19.go.id. https://covid19.go.id/berita/pasien-sembuh-harian-mencapai-4141-orang. (diakses 15 Desember 2020). Kumar, M., & Dwivedi, S. 2020. “Impact of Coronavirus Imposed Lockdown on Indian Population and their Habits”. International Journal of Science and Healthcare Research Vol.5 Issue: 2: April-June 2020. ISSN: 2455-7587. Li, S., Wang, Y., Xue, J., Zhao, N., & Zhu, T. 2020. “The impact of covid-19 epidemic declaration on psychological consequences: A study on active weibo users”. International Journal of Environmental Research and Public Health, 17(6), 1–9. doi: https://doi.org/10.3390/ijerph17062032. Pemerintah Kota Surabaya, “Statistik”. lawancovid-19.surabaya.go.id. https://lawancovid-19.surabaya.go.id/visualisasi/graph. (diakses 15 Desember 2020). Rizma Riyandi. “Data Kecamatan Surabaya: Dukuh Pakis, Penduduk dan Wilayah”. ayosurabaya.com. https://www.ayosurabaya.com/read/2020/09/28/3230/data-kecamatan-surabaya-dukuh-pakis-penduduk-dan-wilayah. (diakses 15 Desember 2020). Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, Zhao X, Huang B, Shi W, Lu R, Niu P. 2020. “A novel coronavirus from patients with pneumonia in China, 2019”. New England Journal of Medicine 2020: 382: 727-733. doi: 10.1056/NEJMoa2001017

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