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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Journal of Robotics and Control (JRC) Jurnal Abdi: Media Pengabdian Kepada Masyarakat JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Elektronika dan Telekomunikasi
Agus Ramelan
Program Studi Teknik Elektro, Fakultas Teknik, Universitas Sebelas Maret
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

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Hybrid fuzzy-PID like optimal control to reduce energy consumption Hari Maghfiroh; Chico Hermanu; Muhammad Hamka Ibrahim; Miftahul Anwar; Agus Ramelan
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.v18i4.14535

Abstract

The electric motor is one of the appliances that consume considerable energy. Therefore, the control method which can reduce energy consumption with better performance is needed. The purpose of this research is to minimize the energy consumption of the DC motor with maintaining the performance using Hybrid Fuzzy-PID. The input of the Fuzzy system is the error and power of the system. Where error is correlated with matric Q and power is correlated with matric R. Therefore, adjusting the fuzzy rule on error and power is like adjust matrices Q and R in LQR method. The proposed algorithm can reduce energy consumption. However, system response is slightly decrease shown from ISE (Integral Square Error). The energy reduction average is up to 5.58% while the average of ISE increment is up to 1.89%. The more speed variation in the system, the more energy can be saved by the proposed algorithm. While in terms of settling time, the proposed algorithm has the longest time due to higher computation time in the fuzzy system. This performance can be increased by tuning fuzzy rules. This algorithm offers a solution for a complex system which difficult to be modeled.
Implementasi algoritma block cipher four pada mikrokontroler STM32F103C8T6: Implementation of block cipher four algorithm on STM32F103C8T6 microcontroller Muhammad Adli Rizqulloh; Yoyo Somantri; Resa Pramudita; Agus Ramelan
JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Vol. 1 No. 2: September 2021
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (779.4 KB) | DOI: 10.35313/jitel.v1.i2.2021.175-188

Abstract

Pada masa industri 4.0, data menjadi salah satu komponen yang wajib dilindungi. Block cipher merupakan salah satu algoritma yang digunakan untuk mengamankan data. Penelitian ini bertujuan untuk mengimplementasikan algoritma block cipher four (BCF) pada mikrokontroler. Parameter yang menjadi tolak ukur antara lain besaran flash dan RAM mikrokontroler yang terpakai, serta kecepatan eksekusi proses komputasi algoritma BCF. Mikrokontroler akan menjalankan algoritma BCF dengan urutan komputasi key-schedule, enkripsi, dan dekripsi. Setiap kali memulai proses komputasi, maka pin trigger pada mikrokontroler akan mengirimkan sinyal rising ke osiloskop dan pada saat selesai melakukan komputasi maka pin trigger mikrokontroler akan mengirimkan sinyal falling ke osiloskop. Hasil penelitian menunjukkan algoritma BCF dapat diimplementasikan pada mikrokontroler STM32F103C8T6. Flash dan RAM yang digunakan mencapai 22,02 Kb dan 5,12 Kb. Algoritma BCF yang diimplementasikan pada mikrokontroler STM32F103C8T6 mampu berjalan sampai dengan 704 kali lebih cepat jika dibandingkan dengan prosesor NIOS II, 11 kali lebih cepat dibandingkan dengan AES-Engine, dan lebih lambat 4 kali jika dibandingkan dengan BCF-Engine.
Implementasi Logika Fuzzy untuk Pengukuran SoC Baterai Mobil Listrik yang Akurat Muhammad Dzaky Ashidqi; Miftahul Anwar; Chico Hermanu B.A.; Agus Ramelan; Feri Adriyanto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1396.668 KB) | DOI: 10.22146/jnteti.v10i3.1885

Abstract

Changes in temperature can affect the accuracy of the estimated SoC value based on voltage. In this study, fuzzy logic was implemented to correct the SoC estimation error caused by the influence of temperature. The system acquired data through sensors and then processed it using the Arduino microcontroller. Parameters in the form of voltage, temperature, and current were processed by Arduino with a fuzzy logic program which was uploaded into it and produced the output of the estimated SoC value. From the observations, it was found that the estimated SoC value from this method had better accuracy with a smaller error than the SoC estimation based on voltage alone. Using the RMSE method, the errors calculated in this method in the process of charging and discharging without running were 2.26 and 7.74, while the SoC estimation error based on voltage alone reached 4.88 and 12.8. In the discharging process with a running car, the SoC estimation results using fuzzy logic also showed accurate results. There was only 1% of SoC value increasing pattern during the discharging process, which the value trend should continue to decrease and should not be an increase. In addition, compared to the previous method applied to the same research object, namely the chemical equilibrium constant method, this method also showed more accurate results.
Fuzzy-PID in BLDC Motor Speed Control Using MATLAB/Simulink Hari Maghfiroh; Musyaffa’ Ahmad; Agus Ramelan; Feri Adriyanto
Journal of Robotics and Control (JRC) Vol 3, No 1 (2022): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i1.10964

Abstract

Brushless DC motors (BLDC) are one of the most widely used types of DC motors, both in the industrial and automotive fields. BLDC motor was chosen because it has many advantages over other types of electric motors. However, in its application in the market, most of the control systems used in BLDC motors still use conventional controls. This conventional method is easy and simple to apply but has many weaknesses, one example is that if the system state changes, then the parameters of the PID must also be changed so that static and dynamic performance will decrease, causing slow response and frequent oscillations. In this study, the design and simulation of a speed control system for BLDC motors using the Fuzzy-PID method were carried out. The research method is performed through simulation with Matlab / Simulink. The simulation is carried out by providing a speed setpoint input of 650 rpm and used 2 methods, namely Fuzzy-PID Logic and Pi conventional method which was carried out for 1 second. The test results show that the Fuzzy-PID control can provide better and more stable performance than the conventional PI control. The use of Fuzzy-PID control can reduce speed fluctuation and torque stability so that the BLDC motor can operate more efficiently and reliably.
SISTEM SOCIAL DISTANCING BRACELET UNTUK ALERT WARNING SYSTEM (AWS) PENANGGANAAN DAN MITIGASI PADEMIK COVID-19 BERBASIS INTERNET OF THINGS (IOT) Chico Hermanu Brillianto Apribowo; Agus Ramelan; Ari Hendra Wijayanti
Jurnal ABDI: Media Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2021)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ja.v7n1.p98-102

Abstract

Physical distancing merupakan salah satu langkah pencegahan dan pengendalian infeksi virus Corona dengan menganjurkan orang sehat untuk membatasi kunjungan ke tempat ramai dan kontak langsung dengan orang lain. Kini, istilah physical distancing sudah diganti dengan physical distancing oleh pemerintah. Ketika menerapkan physical distancing, seseorang tidak diperkenankan untuk berjabat tangan serta menjaga jarak setidaknya 1 meter saat berinteraksi dengan orang lain, terutama dengan orang yang sedang sakit atau berisiko tinggi menderita COVID-19. Berdasarkan permasalahan ini diusulkan ide pembuatan suatu prototipe alat yang digunakan untuk penerapan physical distancing, untuk masyarakat yang terpaksa untuk keluar rumah karena keperluan mendesak seperi belanja kebutuhan pokok dipusat-pusat perbelanjaan ataupun berada pada suatu pusat keramaian lain seperti ditransportasi umum dan lain sebagainya. Orang-orang seperti ini memiliki resiko tinggi untuk tertular virus jika tidak berhati-hati. Dengan adanya prototipe alat ini harapkan masyarakat lebih memperhatikan dan menerapkan Physical Distancing, dikarenakan alat ini dapat mendeteksi obyek lain yang berdekatan dan memberikan sinyal berupa bunyi, dan didukung dengan sistem IoT (Internet of Things) sehingga mempermudah pengguna dalam memonitoring jarak dan lokasi kapanpun dan dimanapun. Selain itu mitigasi di masa pademi ini sangat penting seperti sosialisasi dan pemberian bantuan edukasi sangatlah penting. Sampai tahap pelaporan kemajuan ini, pengabdian masyarakat telah berjalan sesuai dengan jadwal. Prototipe gelang social distancing telah dibuat dan dilakukan pengujian. Gelang menunjukkan fungsi sesuai dengan spesifikasi yang diinginkan yaitu mampu mendeteksi keberadaan orang di sekita dengan jarak tertentu, mengirimkan posisi pengguna saat ini, dan dapat dilakukan pemantauan pengguna melalui aplikasi android.
Rancang Bangun Alat Sistem Absensi Mahasiswa menggunakan Face Recognition dengan Metode YOLO berbasis Raspberry Pi Dinda Ayu Permatasari; Herwandi Herwandi; Dodik Syaiful Ma’arif; Agus Ramelan
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 6 No. 2 (2024): Desember 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.14144

Abstract

Absensi adalah proses pengumpulan data kehadiran dalam suatu acara, termasuk di bidang pendidikan. Baik siswa maupun pengajar memperoleh manfaat dari data ini. Namun, absensi manual seringkali menghadapi masalah, seperti data tidak valid akibat kesalahan atau manipulasi, serta risiko kehilangan atau kerusakan data. Untuk mengatasi kelemahan tersebut, dikembangkan sistem absensi mahasiswa berbasis Face Recognitionmenggunakan metode YOLO dan Raspberry Pi. Sistem ini mendeteksi wajah mahasiswa melalui webcam dan menyimpan data kehadiran ke dalam database yang dapat dipantau melalui website. Pengujian menunjukkan bahwa sistem ini berhasil diimplementasikan dengan tingkat akurasi tinggi, mencapai mean Average Precision (mAP) @0.5 sebesar 0.994 dan akurasi 95%. Proses pengenalan wajah hingga pencatatan absensi memakan waktu rata-rata 2 detik per mahasiswa, menjadikannya solusi efektif dan efisien dalam pengelolaan absensi.
Integral State Feedback Control Using Linear Quadratic Gaussian in DC-drive System Supriyanto Praptodiyono; Hari Maghfiroh; Joko Slamet Saputro; Agus Ramelan
Jurnal Elektronika dan Telekomunikasi Vol. 21 No. 2 (2021)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v21.79-84

Abstract

The electric motor is one of the technological developments which can support the production process. DC motor has some advantages compared to AC motor especially on the easier way to control its speed or position as well as its widely adjustable range. The main issue in the DC motor is controlling the angular speed with uncertainty and disturbance. The alternative solution of a control method with simple, easy to design, and implementable in a multi-input multi-output system is integral state feedback such as linear quadratic Gaussian (LQG). It is a combination between linear quadratic regulator and Kalman filter. One of the advantages of this method is the usage of fewer sensors compared with the original linear quadratic regulator method which uses sensors as many as the state in the system model. The design, simulation, and experimental study of the application of LQG as state feedback control in a DC-drive system have been done. Both performance and energy were analyzed and compared with conventional proportional integral derivative (PID). The gain of LQG was determined by trial whereas the PID gain is determined from MATLAB autotuning without fine-tuning. The load test and tracking test were carried out in the experiment. Both simulation and hardware tests showed the same result which LQG is superior in integral absolute error (IAE) by up to 74.37 % in loading test compared to PID. On the other side, LQG needs more energy, it consumes higher energy by 6.34 % in the load test.
Co-Authors Ari Hendra Wijayanti Chico Hermanu Chico Hermanu B.A. Chico Hermanu Brillianto Apribowo Dodik Syaiful Ma’arif Feri Adriyanto Hari Maghfiroh Hari Maghfiroh Hari Maghfiroh Herwandi Herwandi Joko Slamet Saputro Miftahul Anwar Miftahul Anwar Muhammad Adli Rizqulloh Muhammad Dzaky Ashidqi Muhammad Hamka Ibrahim Musyaffa’ Ahmad PERMATASARI, DINDA AYU Resa Pramudita Supriyanto Praptodiyono Yoyo Somantri