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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) JHP17 (Jurnal Hasil Penelitian) Elsains : Jurnal Elektro JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat Buletin Ilmiah Sarjana Teknik Elektro Journal of Robotics and Control (JRC) Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Elektro (JTE) SinarFe7 Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII ELPOSYS: Jurnal Sistem Kelistrikan Journal of Electrical Engineering Venus: Jurnal Publikasi Rumpun Ilmu Teknik Vokasi UNESA Bulletin of Engineering, Technology and Applied Science JURNAL LINTAS KARSA Journal of Science and Engineering
Ayusta Lukita Wardani
Universitas Negeri Surabaya
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation Other

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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.
Sistem Monitoring Daya Listrik Untuk Konsumen di Lingkungan Perumahan Menggunakan LoRa SX1278 dan Internet Of Things Berbasis Node Red. Safira Tri Handini Ainul; Ayusta Lukita Wardani; Widi Aribowo; Nur Vidia Laksmi
JURNAL TEKNIK ELEKTRO Vol. 14 No. 3 (2025): SEPTEMBER 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jte.v14n3.p275-282

Abstract

Sumber kekhawatiran dan kegelisahan para pelanggan terutama ibu rumah tangga adalah kenaikan tarif listrik secara tiba-tiba. Pemeriksaan meteran listrik berkala oleh petugas PLN masih dilakukan secara manual mendatangi rumah ke rumah. Sebagai solusinya, penelitian ini mengembangkan system monitoring daya listrik dengan komunikasi jarak jauh menggunakan komunikasi LoRa dan Internet of Things. Metode penelitian ini menggunakan metode eksperimen dengan pengujian alat, jangkauan LoRa pada lingkungan perumahan dan pengujian sensor PZEM-004T. Hasil dari prototipe alat system monitoring daya Listrik ini adalah LoRa SX1278 dengan antenna 5dBi pada lingkungan perumahan dapat menjangkau hingga 150 meter dengan kondisi LoS (Line of Sight) dan 80 meter dalam kondisi NLoS (Non Line of Sight). Pengujian pada sensor PZEM-004T memiliki presentase error terkecil sebesar 0,6% pada pengukuran tegangan dan 1,21% pada pengukuran arus dengan 3 buah beban dengan daya total 820W. Sebaliknya, persentase error terbesar pada percobaan alat elektronik dengan beban rendah 70W mencapai 2,51% untuk persentase error  tegangan dan 4,8% persentase error arus. Dengan hasil tersebut PZEM 004T cukup baik untuk sistem monitoring daya listrik rumah tangga. Hasil penelitian menunjukkan bahwa sistem dapat mempermudah pelanggan dalam memantau konsumsi listrik secara real time dan dapat mendukung petugas PLN dalam mendata meteran listrik tanpa harus melakukan pencatatan manual.
Sistem Kontrol Time Based Scheduling Menggunakan PLC Untuk Efisiensi Konsumsi Daya Listrik Pada Studio Musik. Gita Rolland Ibanez; Ayusta Lukita Wardani; Daeng Rahmatullah; As’ad Shidqy Aziz
Journal of Science and Engineering Vol. 2 No. 2 (2026)
Publisher : CV. Akira Java BUlu

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

Abstract

Unscheduled electricity usage in music studios may lead to energy wastage due to electrical loads remaining switched on outside operating hours. This study aims to design and implement a Time-Based Scheduling system using an Omron Programmable Logic Controller (PLC) and a Haiwell Human–Machine Interface (HMI) to automate the operation of electrical loads according to predetermined schedules. The system is equipped with a PZEM sensor to monitor electrical parameters in real time and a capacitor to compensate reactive power and improve the power factor. the research method consisted of hardware and software design, system implementation, and performance testing. System performance was evaluated by comparing electricity consumption before and after the implementation of the Time-Based Scheduling system. In addition, the accuracy of the PZEM sensor was assessed by comparing its measurements with those obtained using a clamp meter. the results demonstrate that the system successfully controlled electrical loads automatically according to the predefined schedule. The PZEM sensor produced measurements that closely matched the reference instrument, with average deviations of 2.24 V for voltage and 0.0058 A for current. Electricity consumption decreased from 55 Wh to 52 Wh, resulting in an energy saving of 5.45%. Although the reduction in energy consumption was relatively modest, the proposed system improved operational discipline, reduced the potential for human error, and supported more efficient electricity management.
Performance Evaluation of a Rabbit Manure-Based Biogas Power System: Slurry Dynamics, Energy Yield, and Conversion Efficiency As'ad Shidqy Aziz; Deshinta Arrova Dewi; Daeng Rahmatullah; Muhammad ‘Izzuddin Al-Qassam; Ayusta Lukita Wardani; Fithrotul Irda Amaliah; Ridho Hendra Yoga Perdana; Onny Setyawati
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 4 (2026): August
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i4.16870

Abstract

The increasing demand for sustainable energy has encouraged decentralized biogas-based power systems, yet a critical research gap remains regarding their field-scale integration and multi-parameter thermodynamic evaluations under real farming conditions. The research contribution is the field-scale operational integration and continuous performance evaluation of a 500 L rabbit manure biodigester coupled with a three-stage purification unit and a modified 1000 W generator set. Utilizing a transparent, reproducible mathematical framework, fresh rabbit manure was digested under a 37-day hydraulic retention time. Results revealed that the accumulated slurry occupied 35.5% of the biodigester volume, leaving 64.5% available as headspace for passive thermodynamic pressure management. The purified biogas successfully operated a 40 W barn lighting load for 12 h day⁻¹, generating a stable average electrical energy output of 0.485 kWh day⁻¹ and a specific energy yield of 0.202 kWh kg⁻¹ of fresh manure. The integrated system achieved a validated Specific Energy Consumption (SEC) value of 0.99 and an overall energy conversion efficiency of 64.7%. While this investigation is limited by its small-scale setup and a 31-day batch cycle, the practical implications demonstrate that this layout provides a viable, standalone template for circular waste management and rural energy independence, establishing an empirical baseline to motivate future automated or upscaled microgrid architectures.
Co-Authors Abdul Hafidz Abualigah, Laith Aditya Chandra Hermawan Aditya Chandra Hermawan Aditya Prapanca Afriyan, Viky Ahmad Ridho’i Akhmad Rizqi Kamal Alfarid Hendro Yuwono Amaliah, Fithrotul Irda Amirul Haq Al Rasyid Anggi Rahmad Zulfikar Apriyansyah, Bahalwan Ar Rasyid Arumas Arief, Muhammad Baharuddin Asidigisianti Surya Patria Awwal, Daffa Abiyyu Aziz, As’ad Shidqy Bambang Suprianto . Basyarach, Niken Adriaty Bayu Dwi Nurwicaksono Bintang Fellix Romansyach Nindjau Bonda Sisephaputra Daeng Rahmatullah Daeng Rakhmatullah David Nugroho Deshinta Arrova Dewi Ehab Saif Ghith Fahmi Hakim, Muhammad Fandi Mei Fatma Ami Fatahillah, Rizal Sofyana Fithrotul Irda Amaliah Gatut Budiono Gilang Permana Gita Rolland Ibanez Habib Nur Syamsi Hidayat hartayu, ratna Henny hidayanti Hermawan , Aditya Chandra Irwan Heryanto/Eryk Kasdan, Junaini Binti Khoriri, Doddy Nur Laksmi, Arieviana Ayu Machfud, Mochammad Abdul Mahendra Widiyartono Mahendra Widyantono Mahendra Widyartono Mahendra Wisyartono Muhammad Abdus Salam Muhammad Firas Sajidan muhammad rizky, muhammad Muhammad Syahril Mubarok Muhammad ‘Izzuddin Al-Qassam Novia Restu Windayani Nur Vidia Laksmi Nur Vidia Laksmi B Onny Setyawati Parama Diptya Widayaka Prasetyo Dwi Putro Pratama, Hanny Chandra Rahmadian, Reza Rahmatullah, Daeng Ridho Hendra Yoga Perdana Rizki Achmad Baihaqi Rohmanita Duanaputri Safira Tri Handini Ainul Santoso Santoso Shehadeh, Hisham A. Sobri Rizaldi Subroto Suhermanto, Dimas Ahmad Nur Kholis Tangkin, Hong Unit Three Kartini Widi Aribowo Widiyartono, Mahendra Yudiyanto Tri Kurniawan Yunus Awwalu Romadhon