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Pengaruh slot kumparan pada kinerja permanent magnet synchronous motor dengan metode komputasi Ferdyanto; Idris Marbawi; James Julian; Fitri Wahyuni
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 10 No 1 (2023): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v10i1.323

Abstract

Kesadaran mengenai isu-isu energi dan lingkungan, industri otomotif mulai mengembangkan kendaraan listrik. Banyak negara dan produsen mobil besar telah banyak berinvestasi dalam penelitian kendaraan listrik. Di industri ada persyaratan dinamika torsi maksimum dan respon torsi kondisi tunak yang lebih baik. Ada gelombang yang lebih rendah pada fluks magnet motor dan torsi yang dihasilkan. Permanent magnet synchornous motor (PMSM) menjadi salah satu pilihan yang tepat. PMSM menggunakan rare-earth magnets yang telah diterapkan sebagai traction motor untuk kendaraan listrik karena memiliki efisiensi yang tinggi dan kepadatan daya. Penelitian ini dilakukan untuk mengetahui tingkat efisiensi yang disajikan dari berbagai jenis motor sinkron dengan spesifikasi motor yang berbeda dari slot type of coil untuk mengetahui motor sinkron mana yang lebih efisien. Sehingga penelitian ini dapat membantu para pengguna motor sinkron dalam menentukan rancangan motor sinkron yang sesuai dengan kebutuhan. Penelitian berjalan dengan menggunakan proses komputasi pada software Ansys Electronic 2018. Seluruh proses komputasi yang dilakukan menggunakan metode Finite Element Analysis (FEA) untuk menyelesaikan permasalahan medan magnet dan medan listrik secara sederhana. Tipe motor dengan kode C1 memiliki nilai efisiensi tertinggi sebesar 95,251% berdasarkan rasio dari input power dan output power dengan spesifikasi besarnya nilai kuat medan magnet sebesar 0,93409 Tesla dan laju kuat arus persatuan panjang sebesar 5,3208 Ampere per meter, serta motor ini mendapatkan nilai efisiensi yang optimal pada kecepatan konstan motor sebesar 13300 rpm dan pada 75 derajat sudut putar rotor saat bekerja.
Optimization of air suspension system for improved ride and handling performance in road vehicles dynamic Armansyah Armansyah; Ahmad Keshavarzi; Amin Kolahdooz; Ferdyanto Ferdyanto; Muhammad Destri Mardhani
Mechanical Engineering for Society and Industry Vol. 4 No. 2 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.11634

Abstract

This study focused on the optimization of air suspension systems (ASs) for road vehicles concerning on-ride and handling criteria. A quarter DOF vehicle model is used in this study to develop an optimized system based on nonlinear equations. The extracted equations are then linearized and transformed into dimensionless form to gain insights into the system's behavior. By employing the Root-Mean-Square (RMS) method, the dimensionless equations are utilized to optimize the system parameters focused on stability and ride comfort. The five main components are attached in the model which consisted of the sprung mass (SM), unsprung mass (USM), gas spring (GS), auxiliary reservoir (AR), and orifice (O). The optimization procedure involved adjustment to the orifice resistance coefficient, air spring volume, air spring area, and auxiliary volume using the RMS-based method. Simulation analysis revealed the superior performance of the RMS-optimized system in both ride quality and handling. The study concludes by emphasizing the advantages of utilizing the RMS method for optimizing air suspension, resulting in decreased sprung mass acceleration and enhanced handling qualities. Selecting the appropriate design point for the suspension system based on the method outlined in this article can ensure both stability and comfort in the vehicle simultaneously.
Analisis Kualitas Implementasi Pelatihan Software Pvsyst untuk Peningkatan Kompetensi Siswa SMKN 1 Kemang Bogor Ferdyanto Ferdyanto; Muhamad Alif Razi; Armansyah Armansyah; Asfa Abiyu Hadi; Liemalasintasari Liemalasintasari; Seno Oktariadi; Umar Fatahillah; Tiara Evidia Wati; Putri Setyarini
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 9, No 3 (2026): Volume 9 Nomor 3 (2026)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v9i3.23672

Abstract

ABSTRAK Peningkatan kebutuhan energi dan rendahnya pemanfaatan potensi energi surya di Indonesia menuntut penguatan kompetensi teknis pada bidang Pembangkit Listrik Tenaga Surya (PLTS). Kegiatan pengabdian pada masyarakat ini tujuannya untuk meningkatkan pemahaman serta keterampilan siswa SMKN 1 Kemang Bogor dalam perancangan sistem PLTS melalui pelatihan penggunaan software PVSyst. Metode pelaksanaan mencakup penyuluhan, pelatihan langsung, pre-test dan post-test, serta analisis kuesioner menggunakan pendekatan kualitatif dengan uji binomial dan skala Likert. Hasil kegiatan menunjukkan peningkatan nilai rata-rata dari 67,21 menjadi 88,66 setelah pelatihan, serta penilaian positif terhadap efektivitas dan relevansi pelatihan. Dengan demikian, pelatihan PVSyst terbukti efektif dalam meningkatkan kompetensi siswa pada bidang Teknik Energi Terbarukan dan disarankan agar integrasi softwarePVSyst dijadikan bagian dari kurikulum pembelajaran Teknik Energi Terbarukan di SMKN 1 Kemang Bogor untuk menunjang kesiapan siswa menghadapi kebutuhan industri. Kata Kunci: PVSyst, PLTS, Simulasi, Pembelajaran, Energi Terbarukan. ABSTRACT The increasing demand for energy and the low utilization of solar energy potential in Indonesia require the strengthening of technical competencies in the field of Solar Power Plants (SPP). This community service activity aims to improve the understanding and skills of students at SMKN 1 Kemang Bogor in designing PLTS systems through training in the use of PVSyst software. The implementation methods include counseling, hands-on training, pre-tests and post-tests, and questionnaire analysis using a qualitative approach with binomial tests and a Likert scale. The results of the activity showed an increase in the average score from 67.21 to 88.66 after the training, as well as positive assessments of the effectiveness and relevance of the training. Thus, PVSyst training has proven to be effective in improving students' competencies in the field of Renewable Energy Engineering, and it is recommended that the integration of PVSyst software be made part of the Renewable Energy Engineering learning curriculum at SMKN 1 Kemang Bogor to support students' readiness to meet industry needs. Keywords: PVSyst, PV Systems, Simulation, Learning, Renewable Energy.
Stator Design Analysis of Induction Motors to Improve Efficiency and Reduce Torque Ripple Using the Taguchi Method Ferdyanto; Muhammad Raihan Fadhlurrahman; Wildan Hakim; R. Danuprawira Harris; Mario Roal
Emitor: Jurnal Teknik Elektro Vol 26, No 2: July 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v26i2.17718

Abstract

Three-phase induction motors dominate industrial applications due to their robustness, simple construction, and low maintenance requirements; however, torque ripple and efficiency degradation remain critical issues affecting vibration, acoustic noise, mechanical stress, and overall energy consumption. Excessive torque ripple may reduce operational stability and shorten motor lifespan, while low efficiency increases electricity costs in continuous industrial processes. Conventional optimization approaches often address torque ripple or efficiency separately and usually require extensive computational effort with a large number of simulation iterations. This study proposes an integrated optimization framework combining Finite Element Analysis (FEA) and the Taguchi method to simultaneously reduce torque ripple and improve efficiency through systematic stator design modification. Six control factors are evaluated, including slot geometry parameters (hs0, hs2, bs1, bs2), stator core material, and air-gap length, arranged using an L25 orthogonal array to minimize simulation runs while maintaining statistical reliability. Electromagnetic simulations are performed using ANSYS Maxwell to obtain torque characteristics, magnetic behavior, power loss, and efficiency under rated operating conditions. Statistical evaluation through Analysis of Means (ANOM) and Analysis of Variance (ANOVA) identifies dominant parameters and determines the optimal design combination. Results indicate that stator core material contributes most significantly, accounting for 77.89% of torque ripple variation and 69.24% of efficiency variation, followed by slot width parameters and air-gap length. The optimized design reduces torque ripple from 17.27% to 17.13% and increases efficiency from 86.58% to 88.52%, while reducing total power losses by 2.25 kW. In addition, the optimized design provides smoother torque response and more stable operation during startup and steady-state conditions. The proposed approach demonstrates a computationally efficient and statistically robust method for industrial induction motor design, offering practical applicability for improving energy efficiency, reliability, and operational stability.