Articles
AN IMPROVEMENT OF PIEZOELECTRIC POWER PLANT DESIGN IN SLEEP POLICE BLUFF BODY BASED ON CANTILEVER SYSTEM
Johannes Stevanus Parulian Simanjuntak;
Solly Aryza;
Adi Sastra P Tarigan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute
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Indonesia's electricity demand is predicted to increase every year, this can cause Indonesia to become an energy importer in the coming year. These problems can be overcome by developing alternative energy, one of which is by utilizing waste vibration energy or pressure energy from the movement of motorized vehicles, cars and pedestrians and even wind gusts in the use of piezoelectric speed bumps. Piezoelectricity is an energy harvester. Piezoelectric with cantilever mechanism produces vibration and deflection repeatedly, causing an electric voltage. The piezoelectric speed bump designed in this study consists of a speed bump system that serves to receive input from motorized vehicle pressure, piezoelectric cantilever system as a component producing electrical energy and energy harvesting system as energy harvester from piezoelectric materials. One system module consists of a parallel piezoelectric circuit connected to the MB39C811 buck converter. This paper will discuss the mechanism of design analysis and modeling of a piezoelectric power generation system on a body bluff-based speed bump with a cantilever system for variations in motor vehicle speed by means of physical modeling. In the piezoelectric bump bluff body, it can be seen that the air flow when passing through the triangular cross section increases in speed so that the resulting vortex has a high speed. This is what causes high vibrations in the piezoelectric so that the maximum voltage and the average voltage have the highest values. The piezoelectric speed bump is capable of generating electric power with an input of 60 times that of a motor vehicle above 2.166mWh with an efficiency of 2.
CHANGES OF SINUS WAVE INVERTER RENEWAL IN PLTS HOUSE PLANTS
Januar Elansa Tarigan;
Solly Aryza;
Adi Sastra P Tarigan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute
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This study aims to produce an inverter which is implemented in a solar power plant for residential homes. In a solar power generation system, an inverter is a device that functions to convert direct current into alternating current. In this study, an inverter was designed to produce an electrical output that was in accordance with the needs of residential electrical equipment. The design shows the important role of the microcontroller as a control unit and the IGBT component as a power electronics component. The test results show that the inverter has been able to produce an output with a voltage of 220 V and a frequency of about 50 Hz with a sine wave output, but there are stillbroken wave.As of this writing, improvements are still being made.
A MODELING DESIGN BASED ON PSO AND PID IN REDUCTION RIPPLE TORQUE AND RIPPLE FLUX IN MOTOR
Septian Prasyahna;
Solly Aryza;
Siti Anisah
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute
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Direct torque control(DTC) of the induction motor is inclined to a specified value of torque. The torque provided is a speed output regulator, therefore it is mandatory to continue tuning to adjust the Kp, Ki parameters. In conventional proportional-integral (PI) speed controllers, motor performance may differ over time which may lead to torque disturbance uncertainty, causing sluggishness of the flux response so the choice of PID parameters is important for DTC systems. In this paper we present a control technique using Particle Swarm Optimization (PSO) to improve the parameters (Kp, Ki) of the speed controller to reduce torque ripple, stator flux distortion ripple and fast response of rotor speed. Unlike conventional designs, this method is capable of achieving the desired control performance. The closed-loop speed control in DTC for induction motors uses the PSO technique thus providing a practical level of accuracy. The results show good features and strong exemplary in dynamic system response and reduction in motor torque and transients.
AN IMPROVEMENT OF POWER POINT TRACKING WEAR METHOD DC-DC CONVERTER METHOD PLTU BAYU BASED ON FUZZY LOGIC
Ari Pahala Situmorang;
Solly Aryza;
Hamdani
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute
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In increasing the electrical power capacity of the Wind Power Plant (PLTB) there are several ways, among others, by increasing the number of generators, but the drawback is that the cost is too expensive because they have to build new plants. Another way is to increase the output power efficiency of existing wind power plants. One way is to use Maximum Power Point Tracking (MPPT) technology which functions to increase the output power of the power plant when there is a change in wind speed. In this paper, this technology is in charge of regulating the generator output voltage through a DC-DC converter type Cuk Converter, where the switching technique uses PWM (Pulse Width Modulation) by adjusting the amount of duty cycle. Changes in the value of the duty cycle depending on the size of the wind speed, so that to adjust the value of the duty cycle and speed up the switching response of the PWM control, a modern algorithm called the Fuzzy Logic Controller (FLC) is used. The results showed that FLC-based MPPT technology could increase the percentage of PLTB output power efficiency from 45.5% to 87%.
AN OVERCOMING VOLTAGE DROP IN REPAIR CONDUCTOR USING ETAP SOFTWARE
Afrizal Chaniago;
Solly Aryza;
Hamdani
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute
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This study aims to determine the percentage drop in the network end voltage on the PU. 1 refiner, determine the effect of load breakdown and increase in conductors on the PU. 6 refiner on the improvement of the quality of the end voltage on the PU. 1 refiner, and get the results of the analysis of the voltage drop at the end of the network on the PU refiner. .1 with ETAP 12.60 software. The research method used is a simulation method for calculating voltage drop using Etap 12.60 software. The data taken in the form of data length, cross-sectional area, stress, and load distribution network. From the results of the study, it was found that the percentage of end voltage drop before uprating the conductor and breakdown load on the PU.6 refiner on the results of voltage measurements at Final Load = 24.12%, voltage at Middle Load = 18.09% and stress at Even Load = 12.06 %. There is a voltage drop at the end of the distribution system network with the lowest end voltage at the end load which is 15.1 kV and a voltage drop of 24.12% occurs. After raising the conductor and disconnecting the load on the refiner PU.6, the voltage at the final load on PU.1 in the ETAP result is 18.03 kV
AN ANALYSIS OF HOUSE CONNECTION NETWORK CONTROL SHOP ON ENERGY LOSS USING PT PLN (PERSERO) ULP STABAT FORMULA JOGJA
Frandy Habeahan;
Adi Sastra P Tarigan;
Solly Aryza
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute
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This analysis aims to determine the number of energy losses that comes from the house connection. An Evaluation of house connections against connection standards that have been technically determined by the rules for Electricity and General Electrical Installation Requirements (PUIL) in 2000. Energy losses in the network are generally divided into two, namely technical losses and non-technical losses. The house connection is one of the contributing factors to technical losses. The method used in this research is the calculation of assets, existing customers, and data acquisition of load factor for feeders, and transformers at ULP Stabat. The results of the data obtained will determine the load factor on feeders, conductors, and substations. This calculation is calculated by the Jogja Formula which is the formula used at PLN until this journal was made.
AN ANALYSIS OF POME WASTE TREATMENT PROCESS (OIL PALM FACTORY) BECOME A BIOGAS POWER PLANT IN SEI MANGKEI
Irwansha Lubis;
Solly Aryza;
Hamdani
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute
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The problem that is often caused by the palm oil industry is the disposal of liquid waste which causes air pollution due to the pungent smell from the waste pool. If it is thrown into the river it will pollute the river and if it is thrown into the ground then the soil will be contaminated. Then an analytical study was conducted so that the liquid waste can be processed by analyzing methane gas whose raw material is liquid waste that is processed anaerobically to fuel the Biogas Power Plant. One of the large plantation potentials obtained from Palm Oil Mills (PKS), which processes Palm Oil Fresh Fruit Bunches (FFB) into Crude Palm Oil (CPO), is biomass waste with a fairly large amount in the form of organic waste in the form of empty coconut bunches. palm oil (Tankos), shells and coir, and liquid waste (Palm Oil Mill Effluent/POME). POME has high energy potential, but in general it has not been used optimally. POME is decomposed in sewage ponds left to decompose naturally. Converting POME into biogas to be burned can produce energy while reducing the impact of climate change. This gas appears as a result of the anaerobic breakdown of organic compounds. Organic liquid waste generated during palm oil production is a major energy source that has not been widely utilized in Indonesia. Converting POME into biogas to be burned can produce energy while reducing the impact of climate change.
ENHANCE A POWER TRANSFORMER INTERFERENCE PROTECTION AT SUBSTATIONS
Suranta Putra Tarigan;
Solly Aryza;
Adi Sastra P. Tarigan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute
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The problem that is often caused by the palm oil industry is the disposal of liquid waste which causes air pollution due to the pungent smell from the waste pool. If it is thrown into the river it will pollute the river and if it is thrown into the ground then the soil will be contaminated. Then an analytical study was conducted so that the liquid waste can be processed by analyzing methane gas whose raw material is liquid waste that is processed anaerobically to fuel the Biogas Power Plant. One of the large plantation potentials obtained from Palm Oil Mills (PKS), which processes Palm Oil Fresh Fruit Bunches (FFB) into Crude Palm Oil (CPO), is biomass waste with a fairly large amount in the form of organic waste in the form of empty coconut bunches. palm oil (Tankos), shells and coir, and liquid waste (Palm Oil Mill Effluent/POME). POME has high energy potential, but in general it has not been used optimally. POME is decomposed in sewage ponds left to decompose naturally. Converting POME into biogas to be burned can produce energy while reducing the impact of climate change. This gas appears as a result of the anaerobic breakdown of organic compounds. Organic liquid waste generated during palm oil production is a major energy source that has not been widely utilized in Indonesia. Converting POME into biogas to be burned can produce energy while reducing the impact of climate change.
PREDICTIVE MAINTENANCE ON FEED WATER PUMP AT PANGKALAN SUSU ELECTRIC STEAM POWER PLANT (PLTU)
Govin Hasiando Marpaung;
Siti Anisa;
Solly Aryza
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute
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Maintenance is an activity to keep the machine/production equipment, and make repairs or replacements to increase production in the industrial world. There are several types of maintenance developed, namely Preventive maintenance, corrective maintenance, and predictive maintenance. Maintenance techniques on direct object measurement monitoring are more applied to the industrial world because it is done without stopping operation on a machine, this treatment technique is also called predictive treatment, and requires analysis to monitor engine conditions, such as the measurement of vibration signals. Each vibration signal generated has different damage. Misalignment is one type of damage caused by the frequent vibration of the shaft and clutch. The vibration signal generated by misalignment has its own characteristic seen in the vibration spectrum. In this undergraduate task will be analyzed angular misalignment vibration signal at feed water pump by taking data at horizontal drive point. The vibration signal at the feed water pump generates angular misalignment through the 3X rpm spectrum where the first rpm is larger than the next two rpm. From the measurement of vibration, it can be seen through the comparison of vibration value to trending with the prevailing standard showing high amplitudes on the horizontal motor drive of 2.65 mm/s based on ISO 10816- 3 standard.
AN PERFORMANCE EFFECT OF VARIATION VOLTAGE ON POSTPAID AND PREPAID KWH ON THE NUMBER OF TURN OF KWH METER
Heru Puja Rivanda;
Adi Sastra P Tarigan;
Solly Aryza
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute
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Postpaid and Prepaid kWh meters are measuring tools for consumer power consumption, there is a thought that Prepaid kWh meters are more expensive than Postpaid kWh meters. This research is to compare Postpaid kWh meters and Prepaid kWh meters by using varying loads with voltage drop treatments with voltages of 230 volts, 220 volts, 198 volts, and 165 volts. So on the load of the induction motor, LHE, and the load of LHE variations and incandescent lamps with source voltages of 230 volts, 220 volts, 198 volts, and 165 volts, it can be said that the Prepaid KWH-meter has a better KWH rotation than the Postpaid KWH-meter. At various loadings on the kWh meter rotation test, the prepaid rotation speed is longer than the postpaid rotation speed with a difference of 0.53 hours or 32 minutes.