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Journal : Jurnal Scientia

A Fast De Couple Method As Power Flow Optimization In Cooking Oil Processing Factory Based Matlab Haris Gunawan
Jurnal Scientia Vol. 13 No. 04 (2024): Education and Sosial science, September-December 2024
Publisher : Sean Institute

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Abstract

Power losses that occur in transmission lines result in various impacts that arise, including a decrease in voltage on the transmission line, low power factor that occurs. To reduce the occurrence of power losses that occur in transmission lines, capacitors are installed. In installing capacitors, attention must be paid to the channels that use them, the location of the capacitor and the size of the capacitor used. This is done so that the placement of the capacitor can be optimal in reducing the power losses that occur.This analysis is applied using the fast de-coupling method on a 20 kV power system.with applicationMatlab 7.0, after analysisknowntotal P loss – loss = 76,025 kW, and Q loss = 216,077 kVAR. After optimization by adding a capacitor to bus 2, it was found that the power losses were smaller, namely total P loss – loss = 46,438 kW and Q loss = 125,307 kVAR.
An Analysis Of Electrical Energy Usage In Alternating Current (AC) Motors 1 Phase Using Inverter Sigit Pratama; Solly Aryza; Haris Gunawan
Jurnal Scientia Vol. 13 No. 04 (2024): Education and Sosial science, September-December 2024
Publisher : Sean Institute

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Abstract

1 Phase AC motors are often used as drivers on equipment with full speed or relatively constant speed, especially in industry or households. Power consumption on 1 Phase AC motors with constant speed is greater, therefore it can cause waste in the use of electrical energy. To overcome this problem, a way is needed to save electrical energy, especially in the operation of 1 Phase AC motors. One effort to save on electrical energy consumption, especially in the use or operation of 1 Phase AC motors is by using a power converter in the form of an inverter. From the results of the study that has been obtained, the use of 1 Phase AC Motors when operated using two motors without being connected to an inverter, the power measured on the measuring instrument reaches 0.796 kW with electrical energy of 1.194 kWh. If the 1 Phase AC Motor is operated using an Inverter, the power measured on the measuring instrument reaches 0.408 kW with electrical energy of 0.612 kWh. The comparison of the use of electrical energy of 1 Phase AC motors using an inverter is lower than the use of electrical energy of 1 Phase AC motors without using an inverter, which can be used as savings in electrical energy in monthly usage.
Analysisreliability Of Aircraft Electrical And Pneumatic Monitoring On Boeing 737 Aircraft Faisal Arrasyid Pulungan; Siti Anisah; Haris Gunawan
Jurnal Scientia Vol. 13 No. 04 (2024): Education and Sosial science, September-December 2024
Publisher : Sean Institute

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Abstract

This study analyzes the reliability of the electrical and pneumatic monitoring system on the Boeing 737 aircraft, which is a critical component in ensuring the safety and operational efficiency of the aircraft. The electrical system is responsible for supporting various vital functions of the aircraft, such as navigation, communication, and flight control, while the pneumatic system regulates airflow for various subsystems, including the anti-icing system, cabin control, and hydraulic pressure. The purpose of this study is to evaluate the performance of the monitoring system in detecting disturbances or failures in electrical and pneumatic components. The approach used involves direct monitoring, historical data collection, and predictive analysis using statistical methods to assess the level of system reliability. The results of the study indicate that the Boeing 737 monitoring system has high reliability in detecting problems before they become critical, but there are several aspects that need improvement, especially in terms of early detection of failures in the pneumatic system. Improving the reliability of the monitoring system can be done through the integration of more sophisticated sensor technology and artificial intelligence (AI)-based predictive algorithms. Thus, these improvements can improve the operational safety and efficiency of the aircraft.