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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 Sistem : Jurnal Ilmu-Ilmu Teknik Journal of Environment and Sustainability JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Buletin Ilmiah Sarjana Teknik Elektro Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Elektro (JTE) ELPOSYS: Jurnal Sistem Kelistrikan Vokasi UNESA Bulletin of Engineering, Technology and Applied Science
Nur Vidia Laksmi B
Universitas Negeri Surabaya
Agriculture, Biological Sciences & Forestry 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 Mechanical Engineering Social Sciences Transportation Other

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PREDIKSI KUALITAS AIR PADA TAMBAK UDANG MENGGUNAKAN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) Amaliah, Fithrotul Irda; Aziz, As’ad Shidqy; Laksmi B., Nur Vidia; Rahmatullah, Daeng
SISTEM Jurnal Ilmu Ilmu Teknik Vol 21 No 2 (2025): In-Press
Publisher : Fakultas Teknik Universitas Wisnuwardhana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37303/sistem.v21i2.309

Abstract

Udang vaname (Litopenaeus vannamei) banyak dibudidayakan di Indonesia karena memiliki peluang usaha yang baik. Dalam kegiatan akuakultur, terdapat beberapa faktor penentu keberhasilan, salah satunya adalah kualitas air yang baik. Kualitas air pada tambak sangat memengaruhi tingkat kelangsungan hidup dan kualitas udang. Penelitian ini bertujuan untuk menentukan kualitas air tambak udang dengan empat parameter, yaitu suhu, pH, salinitas, dan oksigen terlarut (DO). Tujuan penelitian ini adalah untuk memprediksi tingkat kualitas air pada tambak udang menggunakan data kualitas air tambak udang. Pendekatan yang digunakan dalam penelitian ini adalah metode soft computing. Metode soft computing telah banyak digunakan, salah satunya adalah model ANFIS yang dapat memprediksi tingkat kualitas air. Pada penelitian ini, model ANFIS dijalankan dengan 4 input dan 1 output. Hasil prediksi tingkat kualitas air menggunakan model ANFIS menunjukkan bahwa nilai error terkecil pada tahap pelatihan diperoleh menggunakan generalized bell dengan 4 fungsi keanggotaan per input pada epoch ke-1320 dengan nilai error sebesar 1,7. Selanjutnya, untuk parameter pengujian diperoleh nilai rata-rata error relatif sebesar 2,9597%.
Pelatihan Pembuatan Emergency Box Berbasis Solar Panel di Lingkungan Pondok Pesantren Raudlatul Ulum Kalisat Jember Amaliah, Fithrotul Irda; Aribowo, Widi; Rahmadian, Reza; Laksmi, Nur Vidia; Rahmatullah, Daeng; Shidqy Aziz, As'ad; Lukita Wardani, Ayusta
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i4.7892

Abstract

Pondok Pesantren Raudlatul Ulum Kalisat, Jember, sering mengalami pemadaman listrik yang mengganggu kegiatan belajar malam, ibadah, serta penerangan di asrama. Kondisi ini menegaskan perlunya sistem energi cadangan yang mandiri, ramah lingkungan, dan mudah dioperasikan oleh warga pesantren. Program pengabdian masyarakat ini bertujuan meningkatkan pengetahuan dan keterampilan teknis para santri maupun guru dalam merakit emergency box berbasis panel surya sebagai solusi alternatif ketika terjadi gangguan listrik. Kegiatan dilaksanakan pada 3–4 Juli 2025 dan melibatkan peserta secara aktif melalui praktik langsung perakitan serta pengujian fungsi perangkat. Hasil kegiatan menunjukkan bahwa peserta berhasil merakit emergency box dan memanfaatkannya untuk penerangan serta pengisian daya perangkat elektronik. Temuan ini menunjukkan bahwa pelatihan berbasis aplikasi mampu meningkatkan kesiapsiagaan energi sekaligus mendorong kemandirian teknis di lingkungan pesantren.
Integration of a bidirectional cell in a quasi-Z-source inverter for CMV reduction and pure sinusoidal wave form Dwi Prasetyo, Mohammad Imron; Mubarok, Muhammad Syahril; Ilman, Sofyan Muhammad; Munir, Misbahul; Laksmi B, Nur Vidia
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1100

Abstract

With the increasing global commitment to renewable energy sources like photovoltaics (PV), there is a critical need for high-efficiency and high-power-quality converter topologies. Traditional two-stage PV systems are often complex and introduce significant Common Mode Voltage (CMV), leading to issues like leakage currents, high electromagnetic interference, and safety concerns. This paper proposes the Integration of a Bidirectional Cell within a quasi-Z-Source Inverter (BC-qZSI) to achieve CMV Reduction in a single-stage power conversion setup. The BC acts as an active balancing and filtering element rather than solely a boosting stage, ensuring a continuous current mode and actively suppressing the high-frequency CMV components generated by the shoot-through states. The analytical mathematical expression of the proposed topology is derived to confirm its operation, voltage boost capability, and CMV characteristics. Ideal simulation results, performed using PSIM software, validate the derived expressions and demonstrate the effectiveness of the proposed design. The topology achieves a significant reduction in CMV, lowering its amplitude more than 90% compared to the conventional qZSI. Furthermore, the output waveform quality is excellent, yielding a Total Harmonic Distortion (THDv) of 2 %, which complies with the IEEE Std 519-2014 standard for acceptable waveform quality. These results confirm that the integrated BC-qZSI topology effectively mitigates CMV while maintaining high power quality and a single-stage architecture.
Indirect Matrix Converter Based Synchronous Reluctance Motor Drive Systems using Model Predictive Control Laksmi B., Nur Vidia; Mubarok, Muhammad Syahril; Aribowo, Widi; Purwanto, Didik; Isaac, Jacob Raglend; Abdullayev, Vugar Hacimahmud
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 2 (2026): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i2.15222

Abstract

This paper proposes a speed control strategy of Synchronous Reluctance Motors (SynRM) using an Indirect Matrix Converter (IMC) combined with a finite model predictive speed control (MPSC) and PI current control. This control algoritm is chosen than fully PI in both loops due to improve overall system stability and dynamic response. The IMC architecture offers advantages such as compactness, bidirectional power flow, and the elimination of bulky passive components, making it ideal for efficient motor drive systems. The proposed control method employs predictive algorithm using augmented state variable and cost function minimization technique. In addition, PI controllers here using a pole-assignment method. Both proposed controls aim to guarantee stability and responsiveness for dynamic performances. The MATLAB/Simulink is used here to simulate the system, incorporating practical motor parameters and space vector modulation techniques. Simulation results show that the control algorithm attains satisfactory speed performance, with minimal steady-state error 0.47%, overshoot below 2%, and fast settling time under various load 0.035 seconds and speed profiles. Additionally, the system performs robustly under reversed and sinusoidal speed commands, demonstrating its effectiveness and suitability for real-world industrial applications also need to implement in the experiment for the future works.
Co-Authors Abdullayev, Vugar Hacimahmud Aditya Chandra Hermawan Aditya Chandra Hermawan Ainul, Safira Tri Handini Amaliah, Fithrotul Irda Ariyanto, Sudirman Rizki As’ad Shidqy Aziz Ayusta Lukita Wardani DIDIK PURWANTO Dimas Herjuno Dwi Prasetyo, Mohammad Imron Effendi, Moh. Zaenal Fithrotul Irda Amaliah Hermawan , Aditya Chandra Ilman, Sofyan M. Isaac, Jacob Raglend Liu, Tian-Hua Lukita Wardani, Ayusta Mahendra Widyartono Misbahul Munir Mubarok, Muhammad Syahril Muhammad Afnan Habibi Muhammad Syahril Mubarok Nurlita, Ita Rahmadian, Reza Rahmatullah, Daeng Shidqy Aziz, As'ad TRI UMAROH, SUSI Umaroh, Susi Tri Widi Aribowo Widiyartono, Mahendra