Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Journal of Robotics and Control (JRC) JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Agus Ramelan
Universitas Sebelas Maret
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Mathematics Mechanical Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
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.
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.
Co-Authors Chico Hermanu B.A. Dodik Syaiful Ma’arif Feri Adriyanto Hari Maghfiroh Herwandi Herwandi Miftahul Anwar Muhammad Adli Rizqulloh Muhammad Dzaky Ashidqi Musyaffa’ Ahmad PERMATASARI, DINDA AYU Resa Pramudita Yoyo Somantri