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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TEKNIK Jurnal Pendidikan Teknologi dan Kejuruan Teknika Jurnal Teknologi Informasi dan Ilmu Komputer ELINVO (Electronics, Informatics, and Vocational Education) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology Journal of Electrical Technology UMY Briliant: Jurnal Riset dan Konseptual JST ( Jurnal Sains Terapan ) JTT (Jurnal Teknologi Terpadu) JURNAL INTEGRASI Jurnal Otomasi Kontrol dan Instrumentasi Energi & Kelistrikan JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Indonesian Journal of electronics, electromedical engineering, and medical informatics Jurnal INOVTEKSeri Elektro Technologic Automotive Experiences Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Jurnal Nasional Teknik Elektro dan Teknologi Informasi POLIGRID Makara Journal of Technology Power Elektronik : Jurnal Orang Elektro Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics TECHNOLOGIC
Era Purwanto
Politenik Elektronika Negeri Surabaya
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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DESIGN SIMULATION OF THREE PHASES INDUCTION MOTOR CONTROL BASED ON DTC Erawati, Fera; Rochmana, Ade; Wishnuprakasa, Ardhia; Purwanto, Era
Technologic Vol 6 No 1 (2015): Technologic
Publisher : LPPM Politeknik Astra

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

Abstract

For instance, the scalar control is a variable regulation of volt per hertz to sets the magnitude scaling of the motor, of course by linearization of two parameters that is voltage and frequency, which sets to a constant ratio for the only concept of scalar control. In contrast, this method has the disadvantages that cannot decrease or increase the speed range from lower voltage of low speed or upper limit voltage of high speed, due to a certain regions are experiencing issues in constant ratio precision because of switch loss. The resulting output signal is not only has a high harmonic which would lead to losses in the form of heat, but is also causes poor performance at low frequency. For investigation, we used simulation using Direct Torque Control or also called DTC. The application of DTC, becoming one of the motor drive method of induction motor, and would produce the efficient power consumption because of switching pattern based on vector voltage. For simulation result, we use the test techniques when unencumbered and when burdened by parameters of rise time value, settling time value, and set point value.
Jaringan Syaraf Tiruan Untuk Pengenalan Citra Sidik Jari Pada Smart Home Berbasis MYSQL Yanti, Nur; Rachman, Fathur Zaini; Jamal, Nurwahidah; Purwanto, Era; Fachrurozy, Fachrurozy
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 5: Oktober 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (652.279 KB) | DOI: 10.25126/jtiik.2018551032

Abstract

 Sistem keamanan yang bertujuan sebagai sistem monitoring pada smart home seperti memonitoring pengguna laboratorium, perpustakaan, atau ruangan penyimpanan dan peminjaman peralatan praktek di program studi suatu kampus, ruang penyimpanan senjata, hingga rumah tinggal, memerlukan sekuritas yang handal untuk memudahkan identifikasi pengguna ruangan atau pencegahan dari tindak pencurian, maka dirancang sistem monitoring melalui pengenalan citra sidik jari menggunakan sensor ZFM60, jaringan syaraf tiruan dan MySQL. Tujuannya agar di dapat pola yang relevan dari citra dan mengeliminasi informasi atau variabel yang tidak relevan. Metode yang digunakan yaitu experimental, terdiri dari pengumpulan data sidik jari, perancangan sistem pengolahan citra, pembuatan dan pengujian hardware dan software, serta implementasi sistem. Hasil proses pengenalan atau klarifikasi citra sidik jari melalui GUI Matlab, nilai error hasil pengolahan dan pelatihan citra sidik jari dengan jaringan syaraf tiruan, digunakan sebagai ciri citra dan disimpan sebagai data base pada MySQL, kemudian dibandingkan dengan nilai error citra sidik jari baru yang di klarifikasi. Nilai citra yang dapat dikenali berada diantara -0,0005 hingga 0,0005, diluar batas tersebut merupakan citra yang tidak dikenali. Selisih (nilai error) antara ciri citra yang tersimpan pada data base dan ciri citra yang diklarifikasi menghasilkan nilai error yang kecil yaitu < 0.0005, menunjukkan jaringan syaraf tiruan backpropagation handal diimplementasikan pada pengenalan sidik jari untuk melatih pola citra dari sidik jari. Konfigurasi jaringan yaitu maksimal epoch = 3000, learning rate = 1, target error = 0.1, hidden layer = 17. Pelatihan jaringan syaraf tiruan pada konfigurasi tersebut menghasilkan nilai error terkecil dari ciri citra sebesar 0.0000085. Abstract The security system that aims as a monitoring system in smart home such as monitoring laboratory users, libraries, or storage rooms and borrowing practical equipment in the study program of a campus, weapons storage room, to a residence, requires reliable securities to facilitate identification of room users or prevention from theft, it is designed a monitoring system through fingerprint image recognition using ZFM60 sensors, artificial neural networks and MySQL. The goal is to get relevant patterns from the image and eliminate irrelevant information or variables. The method used is experimental, consisting of fingerprint data collection, image processing system design, hardware and software manufacturing and testing, and system implementation. The result of the process of recognition or clarification of fingerprint images through the Matlab GUI, the error value of processing and training of fingerprint images with artificial neural networks, is used as a feature of the image and stored as a data base on MySQL, then compared with the error value of the new fingerprint image that is clarified. The recognizable image value is between -0,0005 to 0,0005, beyond this limit is an unrecognized image. The difference (error value) between the characteristics of the image stored in the data base and the clarified image feature produces a small error value of <0.0005, indicating a reliable backpropagation artificial neural network is implemented in fingerprint recognition to train the image pattern of fingerprints. Network configuration is maximum epoch = 3000, learning rate = 1, target error = 0.1, hidden layer = 17. Artificial neural network training in the configuration produces the smallest error value of the image characteristics of 0.0000085.
Optimizing PI Controller Performance in Ultra Step-Up Converters Using Particle Swarm Optimization Saputra, Gilang Rizki; Purwanto, Era; Rusli, Muhammad Rizani
Jurnal Teknologi Terpadu Vol 13, No 2 (2025): JTT (Jurnal Terpadu Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v13i2.2654

Abstract

The development of electric vehicles (EVs) drives the need for high-voltage ratio DC-DC step-up converters capable of connecting low-voltage battery power sources to electric drive systems and auxiliary systems requiring high voltages. This study proposes a non-isolated ultra step-up converter incorporating a diode–capacitor–inductor (D–C–L) unit at the input and a voltage multiplier cell (VMC) at the output. This topology achieves high voltage gain at low duty cycles while reducing voltage stress on semiconductor devices, enabling the use of lower-rated components and improving overall efficiency. Two control strategies were evaluated: a conventional Proportional–Integral (PI) controller and a PI controller tuned using Particle Swarm Optimization (PSO). MATLAB/Simulink simulations show that the PSO-PI controller outperforms the conventional PI, reducing overshoot from 21.7% to 8.7%, settling time from 227.78 ms to 117.78 ms, and voltage deviation during load changes from ±35 V to ±15 V. Recovery time under disturbances was also shortened from 0.4 s to as low as 0.15 s. These results confirm that PSO-based tuning enhances voltage regulation, transient performance, and robustness, making it a promising solution for ultra step-up converters in EV applications powered by 48 V sources.
Low Cost Health Monitoring Sytem Based on Internet Of Things Using Email Notification Wisana, I Dewa Gede Hari; Utomo, Bedjo; Amrinsani, Farid; Purwanto, Era
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 3 No. 2 (2021): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v3i2.202

Abstract

Monitoring activities are needed if there are symptoms of a disease that require quick action so that the patient's condition does not get worse, for that we need a system that can notify doctors so they can take action. The patient monitoring system in hospitals is generally still carried out conventionally, among others, nurses or doctors come to the patient's room to check on the progress of the patient's condition, this will be a problem, if the number of medical personnel and facilities is insufficient to monitor. Patients who need special attention for patient care, such as monitoring the patient's breathing rate. The use of the internet of things (IOT), as a device that can work without the help of people, can perform tasks and provide easier and real time data, so that they can access output directly. The purpose of this research is to design an inexpensive health monitoring tool based on the Internet of Things (Respiration Parameters) using a piezoelectric sensor and an ESP32 Wi-Fi module. From the results of the module design taken from 10 respondents, obtained that the average measurement high accuracy (17.76 + 0.61) and the average level of stability of the design has a magnitude of 0.4 so that it can be concluded that using a piezoelectric sensor in this series can obtain good accuracy. This the design can be used to monitor a person's respiration in real-time
Implementasi Adaptive Neuro Fuzzy Inference System (ANFIS) untuk Estimasi Kecepatan Motor Induksi Ramdani, Dicky Rivaldo; Windarko, Novie Ayub; Purwanto, Era
BRILIANT: Jurnal Riset dan Konseptual Vol 10 No 4 (2025): Volume 10 Nomor 4, November 2025
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v10i4.1990

Abstract

Three-phase induction motors are a major component in industrial machinery due to their simple construction, robustness, relatively low cost, easy maintenance, and high reliability. However, these motors have disadvantages in speed regulation due to their non-linear characteristics, which cause difficulties in maintaining a constant speed when the load changes. This research aims to maintain the speed of induction motors to remain constant by using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method.  This ANFIS method goes through the stages of data collection, data processing, ANFIS system design, ANFIS training, validation testing, and finally analyzing the results. The input of the induction motor speed estimation system is through a mathematical equation model in d-q coordinates. The output of this system is speed. In this study, training and testing variations. The smallest RMSE result obtained is with the Trapzeium membership function architecture with the number of epochs 100 of 0.0187542.
Fuzzy Gain Scheduling of PID (FGS-PID) for Speed Control Three Phase Induction Motor Based on Indirect Field Oriented Control (IFOC) Ferdiansyah, Indra; Purwanto, Era; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 4 No 2 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5485.475 KB) | DOI: 10.24003/emitter.v4i2.147

Abstract

This paper propose about using PID control system based on Kp, Ki, and Kd parameter determination with scheduling process from fuzzy logic. Control system is used to arrange speed of three phase induction motor using IFOC method. This method can be minimized the main problem from speed control of induction motor which is a transient condition. The robustness validation from this system use testing process of dynamic speed which is compared with the other control system to know the system performance in transient condition such as (rise time, overshoot, undershoot and settling time). The result shows using the proposed system has better performance responses which is requiring 0.001 seconds time in transient condition up to steady state condition without overshoot and undershoot problem.
Comparative Study of Modulation-Based Individual Inverter Techniques for Direct and Inverse by using Star-Connection Induction Motor in Extra Low Voltage Application Wishnuprakasa, Ardhia; Purwanto, Era; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 4 No 2 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3191.69 KB) | DOI: 10.24003/emitter.v4i2.154

Abstract

In this study, the IEEE 519 Standard as a basis benchmarking for voltage (THDV) and current (THDI) in draft performance. Comparative Study based onthree-techniques of 2-Level Converter (2LC) by using a Star-Connection Induction Motor (Y-CIM) in ExtraLow Voltage (ELV) Configuration.For the detail explanation, a primary inverter as Direct-Inverterby PWMdirect (PWM) degreesand asecondary inverter as Inverse-Inverterby PWMinverse(PWM + PI) degrees. It tends a modified algorithm,for eachof SPWM in six rules, and FHIPWM in 5th harmonics Injectedin standard modulation as the purpose for the Open-Ends of Pre-Dual Inverter in Decoupled SPWM for twelve rules, and Decoupled FHIPWM in combination of 5th harmonics Injectedin combination of two-standard-modulation. Those techniques are the purpose of two-inverter combination, which namelythe Equal Direct-Inverse (EDI) algorithmproduct of prototyping in similarities. The observation is restricted in voltage scope between Simulation by using Power Simulator (PSIM)and Application by using Microcontroller ARM STM32F4 Discovery.
Stator Flux Estimator Using Feed-Forward Neural Network for Evaluating Hysteresis Loss Curve in Three Phase Induction Motor Praharsena, Bayu; Purwanto, Era; Jaya, Arma; Rusli, Muhammad Rizani; Toar, Handri; wk, Ridwan
EMITTER International Journal of Engineering Technology Vol 6 No 1 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (704.235 KB) | DOI: 10.24003/emitter.v6i1.263

Abstract

The operation of induction motors with high performance contributes significantly to the global energy savings but hysteresis loss is one of the factors causing decreased performance. Stator flux density (B) and magnetic field intensity (H) must be plotted to know hysteresis loss quantity. Unfortunately, since the rotor rotates in time series, the stator flux density is unmeasurable quantities, it’s hard to direct sensored this properties because of limited airgap space and costly to install additional instrument. The purpose of this paper is to evaluate the hysteresis loss quantity in induction motor using a novel method of multilayer perceptron feed forward neural network as stator flux estimator and magnetizing current model as magnetic field intensity properties. This method is effective, because it’s non-destructive method, without an additional instrument, low cost, and suitable for real-time motor drive systems. The FFNN estimator response is satisfying because accurately estimate stator flux density for evaluating hysteresis loss quantity including its magnitude and phase angle. By using the proposed model, the stator flux density and magnetizing current can be plotted become hysteresis loss curve. The performance of flux response, speed response, torque response and error deviation of stator flux estimator has been presented, investigated, compared and verified in Simulink Matlab.
Co-Authors A'yun, Rifki Qurotul Abdillah Aziz Muntashir Abdullah Aziz Muntashir Ade Rochmana Ade Rochmanu Aditya Ilham Pradana Adoe, Cenneth Paolo Anderson Bai Agustian, Singgih Ainur Rofiq Akbar, Gilang Ekavigo Astafil Amrinsani, Farid Ananto Mukti Wibowo angga wahyu aditya Apriyanto, R. Akbar Nur APRIYANTO, RADEN AKBAR NUR Ardhia Wishnuprakasa Aries Alfian Prasetyo Bambang Sumantri Bambang Sumantri Bambang Sumantri BASUKI, GAMAR Bayu Praharsena Dedid Cahya Happyanto Diah Septi Y. Dimas Okky Anggriawan Eka Prasetyono, Eka Endro Wahjono Endro Wahjono, Endro Erawati, Fera Fachrurozy, Fachrurozy Fakhruddin, Hanif Hasyier Farid Amrinsani Farid Dwi Murdianto Fathur Zaini Rachman Fera Erawati Ferdiansyah, Indra Gamar Basuki GAMAR BASUKI Gigih Prabowo Handri Toar Hanif Hasyier Fakhruddin Hanif Hasyier FAkhruddin HANIF HASYIER FAKHRUDDIN Hary Oktavianto Hendik Eko Hadi Suharyanto I Dewa Gede Hari Wisana Intan Sholikha Jaya, Arma Jaya, Arma Kadek Reda Setiawan Suda Karisma Trinanda Putra, Karisma Trinanda Lucky Pradigta S.R. Makoto Chiba Margo P Mauridhi Heri Purnomo Mauridhi Heri Purnomo Mauridhi Hery Purnomo Mentari Putri Jati MOCHAMAD ARI BAGUS NUGROHO Mohammad Ashary Mohammad Ashary, Mohammad Mohammad Jauhari Mr. Sukamto Muhammad Aditya Ardiansyah Muhammad Irfan Zaidan Muhammad Wahyudi Muna, M. Faza Zidnal Nibras Syarif Ramadhan Novie Ayub Windarko Novrian Eka Sandhi Nugroho, Syechu Dwitya Nur Yanti, Nur Nurwahidah Jamal Pradana, Aditya Ilham Pradigta S.R., Lucky Praharsena, Bayu Praharsena, Bayu Putu Agus Mahadi Putra Qudsi, Ony Asrarul R. Akbar Nur Apriyanto R. Akbar Nur Apriyanto R. Akbar Nur Apriyanto R. Oktav Yama Hendra Raden Akbar Nur Apriyanto Ramadhan, Nibras Syarif Ramdani, Dicky Rivaldo Renny Rakhmawati, Safira Nur Hanifah, Renny Rakhmawati, Ridwan Ridwan Ridwan W.K. Rifqi Dary Suryanto Rochmana, Ade Rochmanu, Ade Rusli, Muhammad Rizani Safa Aulia Zerlina Saputra, Gilang Rizki SATO Yukihiko Septi Y., Diah Setiawan Suda, Kadek Reda Sindu Muhammad Imam Taufik Singgih Agustian Siswoyo, Charis Faridchie Soebagio Soebagio Sri Muntiah Andriami Subagio subagio Subagio Subagio Subagio Subagio, Subagio Suda, Kadek Reda Setiawan Sulis Wanto sutedjo Sutedjo Sutedjo Sutedjo Syahwir, Irawati Dewi Syamsul Arifin Syamsul Rohman Syechu Dwitya Nugraha Syechu Dwitya Nugroho Taufik, Sindu Muhammad Imam Utomo, Bedjo Wanto, Sulis Waras, Nandang Gunawan Tungga Wardhana, Dimas Aditya Putra Wildan Maulana Akbar Wishnuprakasa, Ardhia Wishnuprakasa, Ardhia wk, Ridwan wk, Ridwan Yeheskiel Rante Payung Yunanto, Bagus Yunanto, Prasetyo Wibowo Zahro Zachari Zerlina, Safa Aulia