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Solar power forecasting model as a renewable generation source on virtual power plants Suwarno, Suwarno; Pinayungan, Doni
Bulletin of Electrical Engineering and Informatics Vol 13, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i2.5870

Abstract

This paper describes modeling solar power generation as a renewable energy generator by simulating the analytical approach mean absolute error and root mean square error (MAE and RMSE). This research estimates the error referring to long short-term memory (LSTM) network learning. Related to this, the Indonesian government is currently actively developing solar power plants without ignoring the surrounding environment. The integration of solar power sources without accurate power prediction can hinder the work of the grid and the use of new and renewable generation sources. To overcome this, virtual power plant modeling can be a solution to minimize prediction errors. This study proposes a method for on-site virtual solar power plant efficiency with a research approach using two models, namely RMSE and MAE to account for prediction uncertainty from additional information on power plants using virtual solar power plants. A prediction strategy verified against the output power of photovoltaic (PV) modules and a set based on data from meteorological stations used to simulate the virtual power plants (VPP) model. This forecast prediction refers to the LSTM network and provides forecast errors with other learning methods, where the approach simulated with 12.36% and 11.85% accuracy for MAE and RMSE, respectively.
ANALISIS PENGARUH GAYA KEPEMIMPINAN, TINGKAT PENDIDIKAN, PELATIHAN DAN DISIPLIN KERJA TERHADAP KINERJA KARYAWAN PADA PT. CITRA LAUTAN TEDUH Tanjung, Rona; Budiyanto, Budiyanto; Suhermin, Suhermin; Imelda, Imelda; Saputri, Yulita; Hakim, Buyung Nul; Pinayungan, Doni; Purba, Moden; Ardi, Nadia Khaira; Sutjahjo, Gandhi
JURNAL DIMENSI Vol 13, No 3 (2024): JURNAL DIMENSI (NOVEMBER 2024)
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/dms.v13i3.6589

Abstract

PT. Citra Lautan Teduh bergerak pada bidang manufaktur khususnya memproduksi Tiang Pancang Beton Putar pra tekan atau pre-tensioned spun concrete pile. Kinerja karyawan yang berkualitas ialah kinerja yang sama dengan standar perusahaan dan bisa membantu untuk mencapai tujuan perusahaan, dengan ini perlu didukung oleh beberapa faktor yaitu contohnya gaya kepemimpinan, tingkat pendidikan, pelatihan dan disiplin kerja. Populasi pada penelitian ini berjumlah 90 orang karyawan tetap dan sampel yang digunakan yaitu 90 orang karyawan tetap dengan menggunakan teknik sampel jenuh. Hasil dari uji f diperoleh nilai f hitung sebesar 55,926, nilai f tabel sebesar 2,48 artinya nilai f hitung lebih besar dan nilai signifikan sebesar 0.000 < 0,05 sehingga bisa disimpulkan Gaya Kepemimpinan (X1), Tingkat Pendidikan (X2), Pelatihan (X3) dan Disiplin Kerja secara bersama-sama berpengaruh signifikan terhadap Kinerja Karyawan (Y).