Kadek Reda Setiawan Suda
Universitas Pendidikan Ganesha

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Pengembangan Media Pembelajaran Trainer Instalasi Penerangan Listrik Inbow Portable Pada Mata Kuliah Dasar-dasar Instalasi Listrik di Program Studi S1 Pendidikan Teknik Elektro Kadek Reda Setiawan Suda; Nyoman Santiyadnya; I Gede Ratnaya
Jurnal Pendidikan Teknik Elektro Undiksha Vol. 9 No. 1 (2020): Jurnal Pendidikan Teknik Elektro
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jjpte.v9i1.23424

Abstract

Penelitian ini bertujuan untuk membuat trainer instalasi penerangan listrik, mengetahui kelayakan serta mengetahui respons mahasiswa terhadap media pembelajaran trainer instalasi penerangan listrik inbow portable pada mata kuliah Dasar-Dasar Instalasi Penerangan Listrik di Program Studi S1 Pendidikan Teknik Elektro Undiksha. Penelitian ini menggunakan metode penelitian dan pengembangan Research and Development (R&D). Pengumpulan data dalam penelitian ini dilakukan dengan metode angket/kuesioner  yang dinilai oleh ahli isi, ahli media, dan mahasiswa. Hasil penelitian diperoleh: hasil uji validasi dari ahli media mendapatkan persentase 98,33% dengan kualifikasi sangat layak, hasil uji ahli materi/isi mendapatkan persentase 94,54% dengan kualifikasi sangat layak, hasil uji coba kelompok kecil nilai terendah 39 dari responsden dengan kategori/klasifikasi sangat baik dan hasil uji kelompok besar nilai terendah 39 dari responsden dengan kategori/klasifikasi sangat baik. Berdasarkan hasil penelitian, media pembelajaran Trainer Instalasi Penerangan Listrik Inbow Portable layak digunakan dan mendapatkan respons yang baik dari mahasiswa pada proses pembelajaran Dasar-Dasar Instalasi Penerangan Listrik di Program Studi S1 Pendidikan Teknik Elektro Undiksha.Kata Kunci : Media Pembelajaran, Trainer Instalasi Penerangan Listrik Inbow Portable, Dasar-Dasar Instalasi Listrik
SHORT TERM FORECASTING BEBAN LISTRIK MENGGUNAKAN ARTIFICIAL NEURAL NETWORK Muhdalifah Muhtar; Novie Ayub Windarko; Setiawardhana; Kadek Reda Setiawan Suda
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 20 No. 1 (2023): Edisi Januari 2023
Publisher : Universitas Pendidikan Ganesha

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

Abstract

In Masamba City, the use of electrical energy is influenced by the welfare of the population. The higher the level of welfare of the population, the greater the use of electricity. So, power plants must be ready to supply electricity load demand when experiencing sudden fluctuations in electricity demand. One way that needs to be done to deal with this is structured planning and forecasting. This study aims to analyze the results of the error value of the ability to forecast electrical loads using the Artificial Neural Network method. In this study, the method used is a quantitative approach where data collection is done by literature study, observation, and direct interviews at the UP3 Palopo office. The Artificial Neural Network (ANN) method is programmed using MATLAB software. Where forecasting using ANN obtained the smallest error value of 0.83% with an estimated power generated by ANN of 35,991 MVA on day 2 and for the largest error value on day 7 with an error value of 8.33% with estimated power generated by ANN of 36.0836 MVA.
PEMODELAN SISTEM FOC KENDALI KECEPATAN MOTOR INDUKSI 3 FASA MENGGUNAKAN PI CONTROLLER Sri Muntiah Andriami; Era Purwanto; Hary Oktavianto; Kadek Reda Setiawan Suda; Abdullah Aziz Muntashir
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 20 No. 1 (2023): Edisi Januari 2023
Publisher : Universitas Pendidikan Ganesha

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

Abstract

The speed regulation on this 3-phase induction motor uses a PI Controller by applying the Field Oriented Control (FOC) method, one part of the vector control method. One of the systems developed in this study is the speed control of a 3-phase induction motor by modeling the Field Oriented Control (FOC) system with a speed controller using a PI Controller, the results obtained from speed regulation are that to achieve steady state it only takes 1 to 2 seconds with Stedy error average is 1.175% with not too big rise time and overshoot. By modeling the FOC system using the PI Controller, it is able to overcome the weakness in the speed of the induction motor and provide high control system performance criteria, by suppressing the overshoot and steady state error to close to zero, and the rise time and settling time are relatively fast compared to the open loop controller.