Zona Elektro: Program Studi Teknik Elektro (S1) Universitas Batam

RANCANG BANGUN SISTEM ALARM DENGAN MULTISENSOR DAN MONITORING KE PERSONAL COMPUTER (PC)

2020-02-11T12:36:39+00:00

In circumstances when there is a danger in a building, factory, plant or at public facilities such as hospitals, educational facilities, shopping centers and others that human safety is a major factor to be considered when the state of a hazard is detected by an alarm system , where the state of a hazard can occur at any time and for any. For that the occupants of a building must obtain information or early warning in the event of a state of danger. Early warning or alarm is generally known to be able to detect properly based on the level of danger that residents who were at the scene have time to immediately evacuate. To minimize these circumstances it would be to design an alarm system that is efficient and smart in identifying the state of a danger, so it can be an alarm or warning in prevention. A good monitoring system would be a system of information in the form of visual media. So with the visual display screen can be seen easily and quickly place the state of a hazard is detected by a detector installed in each zone (area).

MONITORING DAN KONTROL AUTOMATISASI PRESS MACHINE MENGGUNAKAN PROGRAMMABLE LOGIC CONTROL

2020-02-11T12:36:39+00:00

Batam is an industrial city that most of the population is an employee, the employee has a very solid working time is 8am to 5pm. If the work is done manually so much energy is wasted and because the fatigue factor is usually the job of being not as expected. Then this problem can be solved by creating a machine that can be controlled by other media and can work automatically but can reduce manpower energy can also reduce workpieces reject or damaged. From the tests these systems work very well yet experienced an error. So with this machine is expected society to save energy will be wasted to work.

RANCANG BANGUN PENDETEKSI KEBERSIHAN SARINGAN UDARA PADA MESIN PENDINGIN JENIS TERPISAH

2020-02-11T12:36:39+00:00

Nowadays Air Conditioning have been used in many sectors. Split air conditioner is one of the commonly found in the market. Air filter is part of air conditioning which is functioning to filter the air from dust and impurities. Dirty air filter will reduce the quantity of air which is circulated during cooling process. Overall dirty air filter will reduce the performance of air conditioning system.

Regarding to that reason, research and analysis about the above problem is required, by designing â€œRancang Bangun Pendeteksi Kebersihan Saringan Udara Pada Mesin Pendingin Jenis Terpisahâ€™. The research method is done by observing the air velocity of indoor unit. The air differential pressure and motor DC are used as a sensor. Data from sensor will be sent to Arduino Uno, then the result will beÂ shown in the LCD display and LED indicator.

From this research, it is known that the signal from air differential pressure is too low although it use operational amplifier for gaining the signal. Meanwhile, the signal from DC motor is high and the operational amplifier is not required. Beside that, the air velocity of split air conditioning depend on its cooling capacity. The higher cooling capacity, the air velocity will be faster. The air velocity itself depend on the cleanliness of air filter. Dirty air filter will reduce the air velocity approximately 42%. Lower air velocity indicating the dirty level of air filter.

RANCANG BANGUN PROTOTYPE SISTEM PENGONTROLAN LEMARI SETRIKA PAKAIAN MENGGUNAKAN FUZZY LOGIC CONTROLLER(FLC)

2020-02-11T12:36:39+00:00

This project is creating a prototype of a steam iron cabinet, where this device this is designed for itâ€™s ability to work automatically that ironing process is not done directly. This automatic control system of the steam iron cabinet is utilizing temperature and push button as parameters, restrained by mikrokontroller with Fuzzy logic as system controller. When the data inserted to the system such as amount of cloth and temperature that detected by sensor LM35, then fuzzy logic will process and activates relay as itâ€™s output. Then relay will activate the heater and then results steam according to the time determined by fuzzy logic. This steam will be used to iron dress and continued by drying up process by fan.

This system testing includes testing unit and overall testing. Testing of the sensor LM35 works properly to measure the temperature with small average of error which is 0.86^oC.Overall the test has been running well, because the system is able to work at different times depending on the input entered. Automatic system is able to work properly that after ironing process ends automatically continued by a drying process.

RANCANG BANGUN PROTOTIPE SISTEM CONTROL OTOMATIS INTAKE PLTMH MENGGUNAKAN PROPOTIONAL INTEGRAL DERIVATIVE (PID)

2020-02-11T12:36:39+00:00

Water is one of the energy sources that are environmentally friendly and relatively easy in the can, because of the potential energy stored water (water falls) and kinetic energy (water flow). Hydropower (Hydropower) is energy obtained from yamg water flow. The energy of the water can be harnessed and used in wujut mechanical energy and electrical energy. Energy utilization of water is mostly done using a water wheel or water turbine which utilizes a waterfall or water in the river. In the design of sluice pengontorlan automatically on the MHP, the water in the dam will flow through the sluice gates to discharge water to the required standard. This design comes flow sensors, flow sensors serves as an input to control the sluice gates that automatically open and close the floodgates. And also uses a DC motor which berfunfsi to open and close the sluice controlled by the flow sensor. And there is also using LCD (Liquid Crystal Display) is one of the media appear that use liquid crystal as the main viewer is used to display numeric characters, experimental results on the opening and closing of the sluice gates using PID is functioning properly. When the value of Kp 35, 0001 Ki, and Kd 0.1 percent error then can the average 38.34% and while the value of Kp 25, 0001 Ki, and Kd 0.1 percent error then can the average 64.91%. And a good result is to use the value of Kp 35, 0001 Ki, and Kd 0.1 with an average error of 38.34%.