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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal Sains dan Informatika JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal JEETech
Santoso Santoso
Universitas 17 Agustus 1945 Surabaya
Computer Science & IT Electrical & Electronics Engineering Engineering Mathematics

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Desain Simulasi Robot Kesetimbangan Dua Roda Dengan Kecerdasan Buatan Ratna Hartayu; Santoso Santoso; Abraham Octorio Umbu Kaleka; Moh. Khilmi Musakhol
Jurnal Sains dan Informatika Vol. 6 No. 2 (2020): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v6i2.232

Abstract

Dalam penelitian dijelaskan salah satu metode alternatif analisa kontrol pada robot kesetimbangan dua roda dengan menggunakan progam simulasi. Program simulasi menggunakan software Matlab. Penelitian ini menghasilkan analisa simulasi kontrol, berupa analisa data sensor gyroscope, simulasi PID dan logika fuzzy. Pada simulasi PID nilai kestabilan didapat pada Kp=100, Ki=200, Kd=10, hasil analisa data gyroscope didapat nilai minimum pada 0,074616, nilai maksimum 0,110321, dengan nilai rata-rata 0,092469, standar deviasi 0,025247, jumlah data 0,184937. Penerapan logika fuzzy pada deteksi sudut dan pemberian nilai PWM, menghasilkan data kestabilan nilai konstanta PID. Penelitian ini diharapkan menjadi acuan pemberian nilai kontrol pada robot, dan untuk penelitian berikutnya dapat dikembangkan dengan menambahkan filter komplement atau kalman untuk menghasilkan kestabilan gerak robot.
Simulasi Desain Kontrol MPPT Sistem Photovoltaic Puji Slamet; Subekti Yuliananda; Santoso Santoso
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 3 No 1 (2019): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeee-u.v3i1.2019

Abstract

Maximum Power Point Tracking (MPPT) modeling has been developed which is part of a photovoltaic (PV) system. This study applies an algorithm for tracking maximum power points in the photovoltaic unit as a whole. The algorithm applied to the MPPT is simulated in PROTEUS modeling to verify the proposed method, the PID control method is simulated in Matlab and Simulink. Simulation shows that changes in input current and voltage will produce different PID controls, with a PWM duty cycle of 10% to 99%.
Simulasi Ekstraksi Fitur Suara menggunakan Mel-Frequency Cepstrum Coefficient Santoso Santoso; Ratna Hartayu; Choirul Anam; Dimas Abdul Aziz
Jurnal Sains dan Informatika Vol. 8 No. 1 (2022): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v8i1.357

Abstract

Berbicara adalah cara komunikasi yang paling mudah dan banyak digunakan antara manusia. Pengembangan antarmuka komputer manusia untuk membangun dialog serupa antara mesin dan manusia adalah inspirasi di balik sistem pengenalan suara. Salah satu algoritma tersebut adalah koefisien Cepstral frekuensi Mel. Makalah ini menjelaskan semua tahapan teknik MFCC bersama dengan deskripsi singkat dari setiap proses. Dalam penelitian ini dijelaskan salah satu metode alternatif analisa pengenalan suara. Program simulasi menggunakan python. Penelitian ini menghasilkan analisa simulasi perubahan data sinyal suara, menggambarkan implementasi pengenalan pola suara. Dalam penelitian ini dikembangkan metode filter hamming window, fast fourier transform(FFT) dan MFCC
Pengaruh Penyesuaian Parameter Membership Function pada Sistem Kendali Robot Balancing Berbasis Fuzzy Logic Santoso Santoso; Balok Hariadi; Ratna Hartayu; Reza Sarwo Widagdo; Wahyu Setyo Pambudi; M Ary Heryanto
Jurnal JEETech Vol. 5 No. 2 (2024): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v5i2.5205

Abstract

This research develops a balancing robot control system using a fuzzy logic approach, focusing on the adjustment of membership function parameters. The main components of the system include the ESP32 microcontroller, MPU6050 sensor for detecting tilt angle and angular velocity, and L298 motor driver for DC motor actuation. Triangular-shaped membership functions are implemented, and parameters a, b, and c are adjusted through simulation to enhance system performance. Evaluation results indicate an average settling time of 1.2 seconds, a maximum overshoot of 5%, and a steady-state error of less than 2 degrees. This adjustment successfully balances response speed and stability, providing important guidance for developers in designing a more optimal fuzzy logic control system. The research was conducted at the Electrical Engineering Laboratory of 17 August 1945 University (Untag) Surabaya from June to December 2023.
Voice command classification for mobile robotic control using mel frequency cepstral coefficients and support vector machines Ratna Hartayu; Santoso Santoso; Ahmad Ridho’i; Ayusta Lukita Wardani; Yunus Awwalu Romadhon
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 17, No 1 (2026)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2026.1373

Abstract

Voice command recognition plays a crucial role in enabling intuitive interaction in robotic and embedded control systems. This study proposes a voice command classification system based on Mel-frequency cepstral coefficients (MFCC) and support vector machine (SVM) using the Google speech commands dataset v2. Eight command classes (“down”, “go”, “left”, “no”, “right”, “stop”, “up”, and “yes”) were used. The dataset was divided into 80 % training and 20 % testing sets, with hyperparameter tuning performed using 5-fold cross-validation on the training data. MFCC feature extraction employed 13 static coefficients augmented with delta and delta-delta features, resulting in a 39-dimensional frame-level representation and a 78-dimensional utterance-level feature vector. Experimental results show that the SVM with radial basis function (RBF) kernel achieved optimal performance with parameters C = 100 and γ = 0.01, yielding 96.2 % accuracy, 96.5 % precision, 96.0 % recall, and 96.2 % F1 score. The inclusion of dynamic features improved accuracy by 4.7 % compared to static MFCCs. The system demonstrates a lightweight architecture suitable for low-resource environments; however, experiments were primarily conducted under clean conditions, and robustness evaluation was limited to a single noise level (20 dB SNR). Furthermore, real-time deployment on embedded hardware was not experimentally validated and remains part of future work.
Co-Authors Abraham Octorio Umbu Kaleka Ahmad Ridho’i Ayusta Lukita Wardani Balok Hariadi Dimas Abdul Aziz hartayu, ratna I Gusti Bagus Wiksuana M Ary Heryanto Moh. Khilmi Musakhol Puji Slamet Reza Sarwo Widagdo Subekti Yuliananda Wahyu Setyo Pambudi Yunus Awwalu Romadhon