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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Teknik Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JETT (Jurnal Elektro dan Telekomunikasi Terapan) Emerging Science Journal JMM (Jurnal Masyarakat Mandiri) Jurnal Elektronika dan Telekomunikasi Jurnal ULTIMA Computing TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Journal of Electronics, Electromedical Engineering, and Medical Informatics JTIM : Jurnal Teknologi Informasi dan Multimedia JMECS (Journal of Measurements, Electronics, Communications, and Systems) Indonesian Journal of Electrical Engineering and Computer Science Charity : Jurnal Pengabdian Masyarakat Proceedings Series on Physical & Formal Sciences Prosiding Konferensi Nasional PKM-CSR Jurnal Ilmiah Teknik Elektro eProceedings of Engineering Buletin Pos dan Telekomunikasi
Fiky Y. Suratman
Universitas Telkom
Arts Humanities Chemical Engineering, Chemistry & Bioengineering 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 Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences Other

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Desain Reflektor Berotasi Dengan Mikrokontroller Berbasis Pulse Width Modulation (Pwm) Radika Gitatama; Fiky Yosef Suratman; Muhammad Zakiyullah Romdlony
eProceedings of Engineering Vol 10, No 5 (2023): Oktober 2023
Publisher : eProceedings of Engineering

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

Abstract

Perkembangan teknologi khususnya dunia mikroelektronika sering kita jumpai dengan penggunaan mikrokontroller pada berbagai peralatan. Mikrokontroller digunakan pada beberapa aplikasi mencakup pengendalian, otomasi industri, akuisisi data dan sebagainya. Salah satu pengaplikasian mikrokontroller yaitu pada mobile robot digunakan untuk memuat reflector yang digerakan secara berputar dan pergerakan laju robot secara linier. Reflector yang dipakai adalah tembaga bertujuan untuk memantulkan gelombang elektromagnetik yang dimuat diatas mobile robot. Mikrokontroller berbasis Pulse Width Modulation (PWM) akan mengeluarkan sinyal untuk mengontrol kecepatan putar agar konstan yang dapat dikendalikan dengan beberapa level kecepatan putar. Pada penelitian ini akan dibangun sebuah reflektor berotasi yang dimuat diatas mobile robot berbasis Pulse Width Modulation (PWM) yang akan digerakkan secara berputar dan pergerakan laju robot secara linier. Dari hasil penelitian dan analisa data pada mobile robot bekerja dengan konstan, baterai mempengaruhi nilai PWM yang dihasilkan, disaat baterai dengan keadaan fully charge performa nilai PWM yang dihasilkan masih maksimal, tetapi dilihat di menit ke 25 hingga menit ke 60 keadaan baterai mulai menurun dikarenakan daya baterai sudah berkurang. Nilai konstan pada saat batter fully change rata-rata 12.04 rad/s.Kata kunci — Reflektor, Mikrokontroller, Pulse Width Modulation (PWM).
Sequential Detection under Correlated Observations using Recursive Method Suratman, Fiky Yosef; Istiqomah, Istiqomah; Rahmawati, Dien
Jurnal Teknik Elektro Vol 15, No 2 (2023): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v15i2.46941

Abstract

Sequential analysis has been used in many cases when the decision is required to be made quickly, such as for signal detection in statistical signal processing, namely sequential detector. For identical error probabilities, a sequential detector needs a smaller average sample number (ASN) than its counterpart of a fixed sample number quadrature detector based on Neyman-Pearson criteria. The optimum sequential detector was derived based on the assumption that the observations are uncorrelated (independent). However, the assumption is commonly violated in realistic scenario, such as in radar. Using a sequential detector under correlated observations is sub-optimal and it poses a problem. It demands a high computational complexity since it needs to recalculate the inverse and the determinant of the signal covariance matrix for each new sample taken. This paper presents a technique for reducing computational complexity, which involves using recursive matrix inverse to calculate conditional probability density functions (pdf). This eliminates the need to recalculate the inverse and determinant, leading to a more reasonable solution in real-world scenarios. We evaluate the performance of the proposed (recursive) sequential detector using Monte-Carlo simulations and we use the conventional and non-recursive sequential detectors for comparisons. The results show that the recursive sequential detector has equal probabilities of false alarm and miss-detection with the conventional sequential detector and performs better than the non-recursive sequential detector. In terms of ASN, it maintains results comparable to those of the two conventional detectors. The recursive approach has reduced the computational complexity for matrix multiplication to O(n2) from O(n3) and has rendered the calculation of matrix determinants unnecessary. Therefore, by having a better probability of error and reduced computational complexities under correlated observations, the proposed recursive sequential detector may become a viable alternative to obtain a more agile detection system as required in future applications, such as radar and cognitive radio.
ANALISIS PERFORMANSI ALGORITMA SVM, CNN, DAN LSTM UNTUK PENGENALAN KEGIATAN MANUSIA DENGAN URAD FMCW RADAR Ramadhan, Azhar Yunda; De Fitrah, Figo Azzam; Nurhidayat, Muhammad Adi; Suratman, Fiky Yosep; Istiqomah, Istiqomah
TEKTRIKA Vol 8 No 1 (2023): TEKTRIKA Vol.8 No.1 2023
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v8i1.6312

Abstract

In this study, we compare Support Vector Machine (SVM), Convolutional Neural Network (CNN), and Long ShortTerm Memory (LSTM) algorithms as commonly used machine learning algorithms based on FMCW Radar data for Human Activity Recognition (HAR). The comparison is conducted by evaluating the models on test data and considering the fitting time and the number of parameters required by each model to achieve the desired results, to find the most efficient model that provides the best results. We discovered that the LSTM 01 model with one layer of 16 unit-LSTM produces the best result based on the scoring of several tested models. The model demonstrated an ability to achieve accuracy up to 86% on the test data with a relatively small number of parameters, i.e., 294,725. Key Words: Radar, computation, FMCW, SVM, CNN, LSTM.
PERANCANGAN WEBSITE BERBASIS APLIKASI DENGAN FITUR NOTIFIKASI WHATSAPP UNTUK SISTEM DETEKSI JATUH Nurhidayat, Muhammad Adi; Y. R, Azhar; De Fitrah, Figo Azzam; Suratman, Fiky Y.; Istiqomah, Istiqomah
TEKTRIKA Vol 8 No 2 (2023): TEKTRIKA Vol.8 No.2 2023
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v8i2.6535

Abstract

This journal discusses the development of a fall detection system using radar as a sensor. The purpose of this system goes beyond technological advancement; it carries significant social impact. It aims to detect fall accidents early and provide prompt intervention to individuals, especially those living alone. In an effort to save lives and reduce the burden on caregivers. The system is connected to an IoT platform and a web-based application that allows users to view real-time detection results. With a notification feature that sends alerts to users and hospitals in the event of a fatal fall accident, this system plays a crucial role in improving the safety and quality of life for those in need. Through testing using the Blackbox Testing method with various scenarios, the system ensures it meets the set requirements and objectives, providing a positive user experience that aligns with expectations, and contributing to ongoing technological development. Key Words: web-based application, fall detection, notifications.
The Effect of Window Size and Window Shape in STFT for Pre-Processing FMCW Radar Data in Human Activity Recognition Based on Bi-LSTM Fitrah, Figo Azzam De; Suratman, Fiky Y.; Istiqomah, Istiqomah
Jurnal Elektronika dan Telekomunikasi Vol 24, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.601

Abstract

Many studies use radars for Human Activity Recognition (HAR), and numerous techniques for preprocessing FMCW radar data have been explored to improve HAR performances. Our approach employs 1-D radar to classify four human activities, i.e., walking, standing, crouching, and sitting.  We use Fast Fourier Transform (FFT) and Short-Time Fourier Transform (STFT) with Kaiser window to generate range-time and Doppler-time data from inphase and quadrature radar signal. The choice of windowing parameters, i.e., window size and window shape represented by the beta parameter in Kaiser window, is considered to have significant impacts on the performances of deep learning LSTM models, including the F1-score. However, our study in this paper, including statistical analysis using t-tests, shows otherwise. Our results consistently support the null hypothesis, which mean that variations in window size and window shape do not significantly affect the F1-score. In essence, our findings underscore the robustness of our preprocessing methodology, emphasizing the stability and reliability of the selected configurations. This research provides valuable insights into the preprocessing techniques for radar data in the context of human activity recognition, enhancing the consistency and credibility of deep learning models in this domain.
Reconfigurable Intelligent Surface-Assisted RF Wireless Power Transfer for Internet of Things System: Modeling and Evaluation Arif Abdul Aziz; Istiqomah; Suratman, Fiky
Buletin Pos dan Telekomunikasi Vol. 22 No. 1 (2024): June 2024
Publisher : Centre for Research and Development on Resources, Equipment, and Operations of Posts and I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17933/bpostel.v22i1.396

Abstract

This work studies the utilization of reconfigurable intelligent surfaces (RIS) for assisting radiofrequency (RF)-based wireless power transfer (WPT) in the Internet of Things (IoT) system. The RIS device in this system is utilized to provide the line of sight (LOS) path when an obstacle blocks the direct power transmission from the transmitter to the receiver. This work presents a comprehensive modeling of the RIS-assisted RF WPT for IoT systems, which includes the spatial model, the RIS-assisted RF WPT model, and the total receiver power model. The performance of RIS-assisted RF WPT is evaluated by simulation matched to the IoT system. In all simulation tests, the obstacle is located between the transmission and the receiver, eliminating direct power transfer. By simulation, it has been verified that the RIS device can assist the RF WPT in the IoT system. The receiver can achieve 0,4714% power transfer efficiency at a distance of 1 meter from the RIS device. Meanwhile, 0,0290% power transfer efficiency is achieved within a 15-meter distance from the RIS device. Furthermore, the performance of RIS-assisted RF WPT with various numbers of unit cells in the RF WPT system is investigated. It has been found that increasing the number of unit cells in RF WPT after a certain number is ineffective for the RF WPT in an IoT system
A Method of Anti-Windup PID Controller for a BLDC-Drive System Argaloka, Aditya Adni; Aptadarya, Harwin; Arentaka, Fiendo Mahendra; Suratman, Fiky Yosef; Satyawan, Arief Suryadi
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 10 No. 2 (2023): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v10i2.7209

Abstract

This research aims to enhance control systems for Brushless DC (BLDC) motors by introducing Proportional-Integral-Derivative (PID) control as a straightforward yet reliable solution, known for its precision, quick responsiveness, and stability. Emphasizing its suitability for BLDC motor speed control, the study addresses PID controller windup challenges, highlighting anti-windup techniques crucial for maintaining system stability. The primary focus is on improving the performance of an anti-windup PID controller for BLDC motor speed control in electric vehicles. Through simulations and analyses, the research aims to minimize steady-state error and overshooting, contributing to overall operational efficiency. Practical implementation involves optimizing the PID anti-windup controller's gain using the MATLAB PID Tuner and implementing it in the Arduino IDE. Experimental tests, which cover constant and varying step function scenarios, are conducted on the designed hardware. Results show the PID anti-windup controller's superiority, exhibiting significantly lower overshoot values of 5.42% and 3.35% compared to 13.26% and 23.76%, respectively. Despite its higher control action, the traditional PID controller displays a more pronounced overshoot. This research is a significant step toward advancing control systems for electric vehicles and optimizing BLDC motor performance in practical applications.
Deteksi Sinyal : Overview Model Parametrik menggunakan Kriteria Neyman-Pearson SURATMAN, FIKY YOSEF; PRAMUDITA, ALOYSIUS ADYA; ARSENO, DHARU
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 7, No 1: Published January 2019
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v7i1.14

Abstract

ABSTRAKDeteksi sinyal banyak diimplementasikan dalam sistem pengolahan sinyal yang sangat kompleks. Sebagai contoh digunakan pada sub sistem pengolahan sinyal radar pengintai yang berfungsi untuk deteksi dan pelacakan target. Salah satu implementasi terbaru dari deteksi sinyal adalah untuk fungsi spectrum sensing pada Cognitive Radio. Deteksi sinyal dapat didefinisikan sebagai binary hypothesis testing, yaitu memutuskan satu dari dua keadaan: hanya derau atau tidak ada sinyal (null hypothesis), dan ada sinyal (alternative hypothesis). Teori deteksi sinyal merupakan bidang yang cukup luas, sehingga paper ini fokus pada pendekatan parametrik dengan Teorema Neyman-Pearson. Kedua hypothesis dimodelkan dengan variabel acak dengan distribusi rapat kemungkinan yang sama tetapi mempunyai parameter yang berbeda. Ditunjukkan penurunan test statistic untuk dua skenario, yaitu distribusi dengan diketahui sebagian dan diketahui penuh. Bagian simulasi menunjukkan kinerja detektor sinyal secara analitis mempunyai hasil yang serupa dengan simulasi Monte Carlo.Kata kunci: deteksi sinyal, Neyman-Pearson, hypothesis testing, spectrum sensing, radar. ABSTRACTSignal detection has been used in many sophisticated signal processing systems, such as for signal processing in surveillance radar which is to detect and to track a radar target. Recently, signal detection is widely used for spectrum sensing in Cognitive Radio. Signal detection is a binary hypothesis testing problem which is to choose one out of two conditions, i.e., noise only or signal absence (null hypothesis), and signal presence (alternative hypothesis). Since signal detection theory is a wide area, this paper only focuses on parametric approach using Neyman-Pearson theorem. The two hypotheses are modeled by random variables having the same distribution but different parameters. The derivations of test statistics (detectors) are shown for two scenarios, i.e., partially known and perfectly known distributions. Analytical results and Monte Carlo simulations of the derived detectors show similar performances.Keywords: signal detection, Neyman-Pearson, hypothesis testing, spectrum sensing, radar.
Radar FMCW dengan IQ Demodulator Jamak untuk Deteksi Pernafasan pada Pengaruh Clutter PRATIWI, HANA; HIDAYAT, MUJIB RAMADAN; MAARIF, AHMAD FATHAN; PRAMUDITA, ALOYSIUS ADYA; SURATMAN, FIKY YOSEP
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 1: Published January 2020
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i1.125

Abstract

ABSTRAK Pada pendeteksian pernafasan menggunakan sistem radar maka adanya pantulan dari sejumlah objek statis di sekitar target akan memberikan pengaruh pada hasil pendeteksian. Modifikasi pada sistem FMCW telah diusulkan untuk memberikan kemampuan dalam mendeteksi pernafasan multi target. Konsep deteksi fasa dilaborasi pada metode usulan untuk menghadirkan kemampuan deteksi pergeseran kecil. IQ demodulator jamak diusulkan sebagai konsep modifikasi pada sistem FMCW untuk permasalah tersebut. Pengujian kemampuan sistem usulan pada kondisi clutter dilakukan dengan melakukan kajian teoritis dan simulasi komputer. Pengujian dilakukan pada kawasan waktu dan kawasan frekuensi. Hasil-hasil yang diperoleh menunjukkan bahwa metode IQ demodulator jamak yang diusulkan memiliki kemampuan dalam mendeteksi pernafasan secara multi target dan mampu mempertahankan kemampuan tersebut pada kondisi adanya clutter. Kata kunci: deteksi pernafasan, multi target, FMCW, IQ demodulator, clutter ABSTRACT In the detection of respiration using a radar system, the reflection of static objects around the target will have an effect to the detection results. Modifications to the FMCW system have been proposed to provide the ability to detect multi-target respiration. The concept of phase detection is elaborated on the proposed method to provide small shift detection capabilities. Multiple IQ demodulator is proposed as a modified concept on the FMCW system for this problem. Testing the ability of the proposed system under clutter conditions is carried out by conducting theoretical studies and computer simulations. Tests carried out in the time zone and frequency region. The results obtained indicate that the proposed multiple-method IQ demodulator has the ability to detect multi-target respiration and is able to maintain that ability in the presence of clutter. Keywords: respiration detection, multi target, FMCW, IQ demodulator, clutter
Implementasi Robot Keseimbangan Beroda Dua Berbasis Mikrokontroler BOBBY, GRACE; SUSANTO, ERWIN; SURATMAN, FIKY YOSEP
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 3, No 2: Published July - December 2015
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v3i2.142

Abstract

ABSTRAKPerkembangan dunia robot berkembang pesat dari tahun ke tahun. Salah satu contohnya ialah Segway Personal Transporter. Variasi teknik dalam pergerakan robot pada lingkungan yang dinamik pun semakin banyak, diantaranya Pole-Placement Controller, Fuzzy Logic, Proportional Integrated Derivative Controller (Kontrol PID). Pada penelitian ini Fuzzy Logic akan digunakan sebagai pengontrol robot keseimbangan ini. Pada sistem ini digunakan dua sensor (accelerometer dan gyroscope) untuk mendapatkan pembacaan data yang stabil dan handal. Dari hasil percobaan kalman filter, diperoleh nilai parameter kalman filter yang optimal adalah Qaccelerometer = 0,001 , Qgyroscope = 0,003 dan Rpengukuran = 0,03.Kata kunci: Accelerometer, Gyroscope, Fuzzy Logic, Kalman Filter, Self-balancing Control. ABSTRACTThe development of robots is growing rapidly from year to year. One example is the Segway Personal Transporter. A variety of techniques in the movement of the robot in the dynamic environment became more numerous, including Pole-Placement Controller, Fuzzy Logic, Proportional Integrated Derivative Controller (PID control). In this project, Fuzzy Logic will be used as an balancing robot controller. In this system, used two sensors (accelerometer and gyroscope) to obtain data readout is stable and reliable. From the experimental of Kalman filter, obtained the optimal parameter values of Kalman filter are Qaccelerometer = 0.001, Qgyroscope = 0.003 and Rmeasure = 0.03.Keywords: Accelerometer, Gyroscope, Fuzzy Logic, Kalman Filter, Self-balancing Control.
Co-Authors -, Sugihartono A. A. Pramudita Achmad Rizal Adinda Mutiara Hakim Adriani Rizka Amalia Agung Chrisyancandra Mobonguni Ali Muayyadi Ali, Erfansyah Aloysius Adya Pramudita Alyani Durrah Fauzan Andika Pradana Arif Wicaksono Angga Rusdinar Angga Wijaya Anhar Ari Widodo Aptadarya, Harwin Arentaka, Fiendo Mahendra Argaloka, Aditya Adni Arif Abdul Aziz Arifyandy, Rachmat Ario Wicaksono ARIS HARTAMAN Aurelia, Felicia Bunga Azhar Sukarna Putra Azhar Yunda Ramadhan Azizah Yusrina Bambang Hidayat Bambang Setia Nugroho Budi Permana Dami Mahardiwana Daud, Pamungkas De Fitrah, Figo Azzam Denny Darlis Dharu Arseno Dhiky Wahyu Santoso Dias Daffa Wiwaha Dien Rahmawati Dimas Mustaqim Dwi Esti Kusumandari Ekki Kurniawan Erwin Susanto Estananto Fadhli Rahman Faishal Adli Fani Fauziah, Fani Farhan Ramadhan FARIED IZZANTAMA NUGRAHA HARSWA Figo Azzam De Fitrah Fikry Lazuardi Fitrah, Figo Azzam De Giashinta Larashati Grace Bobby GRACE BOBBY, GRACE Hana Pratiwi Hasbian Fauzi Perdana Heni Pujiastuti Heroe Wijanto Hidayat, Mujib R. HIDAYAT, MUJIB RAMADAN Hurianti Vidyaningtyas I Wayan Oka Krismawan Putra Ig. Prasetya Dwi Wibawa Imam Darmawan Istiqomah Istiqomah istiqomah istiqomah Jody H, Amadeus Evan Junartho Halomoan Juse Wisman Oktabri Kalfika Yani Khalisa Khairuna Khilda Afifah Kirana, Tsania Puspa Koredianto Usman Krisna Muhammad Luthfi Kurniawan, Bella K. Lyra Vega Ugi M. Reza Raihan N.R MAARIF, AHMAD FATHAN Made Indra Wira Pramana Marchellyn, Ferryn Mochammad Haldi Widianto Mohamad Ramdhani Muhamad Ridwan Widyantara Muhamad Riswan Nurfadilah Muhammad Adi Nurhidayat Muhammad Ary Murti Muhammad Hablul Barri Muhammad Hegi Rinaldi Muhammad Nashih Rabbani Muhammad Zakiyullah Romdlony Mujib R. Hidayat Mumtazanisa Fairuzen Nasrullah Armi Neina Oktavia Sariningsih Nelson, Garry Nina Mardiana (F01108057) Nurhidayat, Muhammad Adi Nurul Qashri Mahardika T Nusharatul Lailiyya Nushrotul Lailiyya Patriananda, Teguh Porman Pangaribuan Pramudita, A. A. Pramudita, Aloysius A. PRATIWI, HANA Qolbiyah, Nada Syifa Rachmita Hasni.H1 Radika Gitatama Rahmad Rahmad Ramadhan, Azhar Yunda Ramdhan Nugraha Ratri Dwi Atmaja Rebecca Chittra Widyaparamitha Reyhan Fahmirakhman Abdullah Reynaldo Sandy Montolalu Reza Nurul Fajri Rheza Faurizki Rahayu Rifqy Miftahul Hidayat Rissa Rahmania Rizal Akhlaqul Rizki Ardianto Priramadhi Rizkia Dwi Auliannisa Rizky Ardianto Priramadhi Salwa Nur Rohmah Santosh Poudel Saputri, Desti M. Sari, Nurlina Satyawan , Arief Suryadi Satyawan, Arief Suryadi Seno Nugroho Siburian, Sebastian Edward Slamet Widodo Slamet Widodo Sony Sumaryo Sugihartono - Suputra , Mahesa Wisnu Suryo Adhi Wibowo Unang Sunarya Widyantara, Muhamad Ridwan Y. R, Azhar Yohana Jayanti Aruan Yudha Purwanto Yudha Setyawan, Raden Rofiq Zahwa Rizzi Ani