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All Journal Jurnal Jurusan Pendidikan Teknik Elektro Jurnal Elemen
Andriami, Sri Muntiah
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering

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RANCANG BANGUN ALARM ANTI PUTUS Khalil, Muhammad; Musthofa, Imron; Artika, Kurnia Dwi; Andriami, Sri Muntiah; Wicaksono, Bayu Agung
ELEMEN : JURNAL TEKNIK MESIN Vol. 11 No. 2 (2024)
Publisher : POLITALA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/je.v11i2.333

Abstract

Technology can be used as a preventive measure to avoid theft. One technology that can interfere and even make the perpetrator cancel the robbery is an alarm. With the sound of the alarm, the thief can be surprised and will immediately save himself because he is worried about being caught. Until now, various alarm technologies have been studied, from simple to complex. There are also many sensors used as triggers for alarm activation. This study created a simple anti-break alarm that is not easily turned off using a magnetic switch and relay. Several parameters are measured to determine the performance of the input and output of the alarm such as voltage and current, then a consistency test is carried out from the alarm that was created. The results obtained were that the alarm functioned properly. The alarm can sound when the door is opened then continues to sound and does not break when the door is closed again. The alarm also works consistently after 100 tests.
PEMODELAN SISTEM IFOC KENDALI KECEPATAN MOTOR INDUKSI 3 FASA MENGGUNAKAN NEURO FUZZY CONTROLLER Andriami, Sri Muntiah; M.R.F. Putra; M. Khalil; M. Yunus; B.A. Wicaksono; K.R.S. Suda; R.O.Y. Hendra
Jurnal Pendidikan Teknik Elektro Undiksha Vol. 14 No. 1 (2025): JPTE Periode April 2025
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jjpte.v14i1.94482

Abstract

Motor induksi tiga fasa banyak dimanfaatkan dalam industri dan kendaraan listrik karena keandalannya, meskipun pengendalian kecepatannya menghadapi kendala akibat sifat non-linear dan parameter yang berubah. Penelitian ini mengembangkan sistem pengendali kecepatan berbasis Field Oriented Control (FOC) yang dikombinasikan dengan Neuro Fuzzy Controller untuk meningkatkan respons dinamis dan ketahanan terhadap perubahan beban. Model dikembangkan di MATLAB/Simulink dengan pembelajaran 100 dan 500 epoch guna menyempurnakan parameter pengendali. Hasil simulasi menunjukkan bahwa sistem ini menghasilkan respons kecepatan yang baik, dengan waktu naik 0,11–0,327 detik, waktu tunak 0,25–0,6 detik, overshoot <1,07%, dan galat tunak <0,7% pada kondisi tanpa beban. Di bawah beban 25Nm dan 45Nm, sistem tetap stabil dengan waktu tunak 1–1,7 detik dan galat tunak sangat kecil (0,002–0,069%). Hasil ini membuktikan bahwa pengendali Neuro Fuzzy lebih unggul daripada PI dalam menjaga kecepatan meskipun terjadi perubahan beban.
Co-Authors B.A. Wicaksono Imron Musthofa K.R.S. Suda Kurnia Dwi Artika, Kurnia Dwi M. Khalil M. Yunus M.R.F. Putra Muhammad Khalil, Muhammad R.O.Y. Hendra Wicaksono, Bayu Agung