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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.
Design and Implementation of a Solar Panel–Based Backup Energy Supply System for an Egg Incubator in Jatijejer Village, Mojokerto Reza Sarwo Widagdo; Ardianik Ardianik; Ratna Hartayu; Imam Suri Tauladan; Puji Slamet; Aris Heri Andriawan
Pelita: Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 2 (2026): Pelita: Jurnal Pengabdian kepada Masyarakat
Publisher : Perkumpulan Kualitama Edukatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51651/pjpm.v6i2.572

Abstract

Power supply reliability is a critical factor in the hatchery industry, as egg incubator machines require continuous and stable electrical energy to maintain optimal temperature and humidity conditions throughout the incubation period. In many rural areas, including Jatijejer Village, Mojokerto, East Java, Indonesia, frequent power outages from the main electricity grid often disrupt incubator operation, causing temperature fluctuations that can reduce hatchability rates and negatively affect poultry productivity. These conditions highlight the need for a reliable backup energy solution to ensure uninterrupted incubation processes. To address this challenge, this study implements a small-scale solar photovoltaic (PV) system as a backup power supply for a semi-automatic egg incubator installed in Desa Jatijejer, Mojokerto. The proposed backup energy system consists of a 20 Wp solar panel, a 10 A solar charge controller, and a 12 V 12 Ah battery as the primary energy storage unit. With an available energy capacity of approximately 144 Wh, the battery is capable of supplying power to a low-consumption egg incubator during temporary grid outages. This capability is particularly important during critical stages of embryonic development, where stable temperature conditions are essential to ensure successful hatching. The PV–battery configuration is designed to function as an emergency backup system rather than a long-term replacement for the main grid, thereby maintaining incubation continuity during short-duration electrical disturbances. In addition to technical implementation, this study evaluates partner perceptions through a satisfaction survey involving 20 respondents from the local poultry farming community. The survey results indicate a high level of satisfaction with the implemented system, reflected by an overall mean score of 4.37 out of 5. The suitability of the technology achieved a mean score of 4.30, while system performance obtained a mean score of 4.35. Ease of operation and maintenance recorded a mean score of 4.25, suggesting good usability with potential for minor improvement. The highest satisfaction scores were observed for service team responsiveness and overall satisfaction, both reaching 4.45, while training clarity achieved a mean score of 4.40. Overall, the findings confirm that the solar PV backup system enhances incubator reliability and supports sustainable poultry production in rural areas with unstable electricity supply.