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All Journal Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Karijadi, Irene
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Pelatihan Lean Hospital di Rumah Sakit Gotong Royong Surabaya: Lean Hospital Training at Gotong Royong Hospital Surabaya Dewi, Dian Retno Sari; Karijadi, Irene; Gunawan, Ivan; Wibowo, Wahyudi; Mulyana, Ig. Jaka; Hermanto, Yustinus Budi
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 10 No. 1 (2025): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v10i1.8265

Abstract

Hospitals should improve services to patients. The concept of Lean Management can be used as an approach to improve hospital efficiency. The purpose of the training is to provide an understanding of Lean Management in hospitals (Lean Hospital) to hospital leaders and employees and be able to identify waste. The training was conducted with partners, namely Surabaya Gotong Royong Hospital. The training methods are the presentation of Lean Hospital and group discussions. Through this training, the knowledge of leaders and employees of Gotong Royong Surabaya Hospital about Lean Hospital can be improved. In group discussions, various types of waste and the order of priority for improvement were identified. This training has been able to increase the understanding of leaders and employees of Gotong Royong Surabaya Hospital about Lean Hospital. This can be seen from the ability of participants in the discussion to identify and assess the priority number of waste and provide suggestions for improvement. This activity can be followed up with research or community service on improving efficiency at Gotong Royong Surabaya Hospital with the Lean Management approach.
Application of Ensemble Empirical Mode Decomposition based Support Vector Regression Model for Wind Power Prediction Karijadi, Irene; Mulyana, Ig. Jaka
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (562.291 KB) | DOI: 10.9744/jti.22.1.11-16

Abstract

Improving accuracy of wind power prediction is important to maintain power system stability. However, wind power prediction is difficult due to randomness and high volatility characteristics. This study applies a hybrid algorithm that combines ensemble empirical mode decomposition (EEMD) and support vector regression (SVR) to develop a prediction model for wind power prediction. Ensemble empirical mode decomposition is employed to decompose original data into several Intrinsic Mode Functions (IMF). Finally, a prediction model using support vector regression is built for each IMF individually, and the prediction result of all IMFs is combined to obtain an aggregated output of wind power Numerical testing demonstrated that the proposed method can accurately predict the wind power in Belgian.
Co-Authors Dian Retno Sari Dewi Ig. Jaka Mulyana Ivan Gunawan Wahyudi Wibowo Yustinus Budi Hermanto