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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Indonesian Journal of Electrical Engineering and Renewable Energy (IJEERE)
Firdaus, Agung Ridhatullah
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science

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Penerapan Pressure Control Valve (PCV) pada Main Gas HRSG (Heat Recovery Steam Generator) Di PT. MCTN Kota Duri: Application Of Pressure Control Valve (PCV) In Main Gas HRSG (Heat Recovery Steam Generator) at PT. MCTN Duri City Firdaus, Agung Ridhatullah
Indonesian Journal of Electrical Engineering and Renewable Energy (IJEERE) Vol 1 No 1 (2021): IJEERE Juni 2021
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.958 KB) | DOI: 10.57152/ijeere.v1i1.72

Abstract

In this era of globalization, science and technology has developed so rapidly. No exception to industrial technology, which has developed according to the times. One important component commonly used in industrial production processes is the Control Valve, a tool used to modify fluid flow or pressure rate in a process system. In a powerplant unit, especially PLTGU, the role of the control valve is very important. Not only in regulating the amount of gas entering the combustion in the turbine, it is also needed in supplying gas in the duck burner to the HRSG so that steam can be produced with the desired amount and quality. Based on observations in the field, at PT MCTN regarding the utilization of the control valve, it is known that its use is almost in all control systems, especially in the duck burner, precisely on the main gas HRSG. In this section the gas that will enter the duck burner has a large pressure, between 350-450 psi. This gas, which will be controlled in accordance with the production target, will be made a control system known as a Pressure Control Valve (PCV) 1/3 whose value will be adjusted using the PLC from DCS by the operator. The stages in completing this research are conducting field surveys, discussions, taking and processing data and make a conclusions. The conclusions from the implementation of this research are where the gas entering the duck burner the number or value is controlled by Pressure Control Valve 1/3 subsequently used as fuel in the steam production process, so that steam can be produced with the optimum amount and quality.
Deteksi Kode Etik Berpakaian pada Area Kampus Menggunakan YoloV8 Firdaus, Agung Ridhatullah; Kharisma, Oktaf Brillian; Ismaredah, Ewi; Abdillah, Abdillah
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4741

Abstract

In the current digital era, the development of computer vision technology has played a crucial role in various fields, including security and surveillance. This study proposes the application of the YOLOv8 (You Only Look Once version 8) object detection model to identify violations of clothing etiquette in the UIN Suska environment. The proposed approach involves collecting a dataset of 5195 accurately labeled images of clothing and training it using the YOLOv8 architecture, enabling real-time object detection at high speed. The research results indicate that the use of YOLOv8 can recognize and differentiate clothing that adheres to the dress code with good accuracy in the campus context, achieving an mAP of 0.819 at epoch 100 and an F1-Score of 0.79 with a dataset split of 87% training, 8% validation, and 5% testing. By employing appropriate evaluation metrics such as recall, precision, and F1-score, the model's performance can be comprehensively measured to produce optimal results. This research provides a crucial foundation for the development of the YOLOv8 object detection system in maintaining dress code compliance in the campus environment. The study includes the implementation of YOLOv8 on a clothing dataset that reflects the variations commonly found at UIN Suska. Performance evaluation is conducted by comparing detection results with labels provided by humans as ground truth. The use of this model is expected to assist authorities and security staff at UIN Suska in identifying clothing etiquette violations effectively, strengthening supervision, and supporting the creation of a comfortable campus environment in line with institutional values
Co-Authors Abdillah Abdillah Ewi Ismaredah Kharisma, Oktaf Brillian