INFOKUM
The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences. Software Engineering. Image Processing Datamining Artificial Neural Networks
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<![CDATA[A MODELING DESIGN BASED ON PSO AND PID IN REDUCTION RIPPLE TORQUE AND RIPPLE FLUX IN MOTOR ]]>
<![CDATA[Septian Prasyahna]]>;
<![CDATA[Solly Aryza]]>;
<![CDATA[Siti Anisah]]>
<![CDATA[ INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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.]]>
<![CDATA[AN IMPROVEMENT OF POWER POINT TRACKING WEAR METHOD DC-DC CONVERTER METHOD PLTU BAYU BASED ON FUZZY LOGIC ]]>
<![CDATA[Ari Pahala Situmorang]]>;
<![CDATA[Solly Aryza]]>;
<![CDATA[Hamdani]]>
<![CDATA[ INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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%.]]>
<![CDATA[AN OVERCOMING VOLTAGE DROP IN REPAIR CONDUCTOR USING ETAP SOFTWARE ]]>
<![CDATA[Afrizal Chaniago]]>;
<![CDATA[Solly Aryza]]>;
<![CDATA[Hamdani]]>
<![CDATA[ INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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]]>
<![CDATA[ENHANCE PROTECTION GROUNDING FAILURE 17 MH SIPANSIHAPORAS HYDROELECTRIC POWER PLANT BASED ON NEW DESIGN NEUTRAL GROUNDING ]]>
<![CDATA[Victor H Pangaribuan]]>;
<![CDATA[Adi Sastra Tarigan]]>;
<![CDATA[Hamdani]]>
<![CDATA[ INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[Ground failure is one of the conditions in which leakage current occurs between the phase and neutral which can damage the core of the stator. A grounding failure that occurs will cause a very large current so that the damage that will be caused will be very damaging. The need for protection against grounding failure is very much needed, especially in generators with large capacities. In this paper, we will discuss the design of a protection system against grounding failure at the SIPANSIHAPORAS HEPP, with specifications of 17 MW, 11KV. The protection system that will be discussed in this paper is a Neutral Grounding Transformer (NGT). From the results of the study, it was found that the NGT has a capacity of 46.6 KVA (5 minutes rating), 11000/240 V with a secondary resistor of 0.7 , with a current of 211.7 A (5 minutes rating).]]>
<![CDATA[AN ANALYSIS OF HOUSE CONNECTION NETWORK CONTROL SHOP ON ENERGY LOSS USING PT PLN (PERSERO) ULP STABAT FORMULA JOGJA ]]>
<![CDATA[Frandy Habeahan]]>;
<![CDATA[Adi Sastra P Tarigan]]>;
<![CDATA[Solly Aryza]]>
<![CDATA[ INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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.]]>
<![CDATA[AN ANALYSIS OF POME WASTE TREATMENT PROCESS (OIL PALM FACTORY) BECOME A BIOGAS POWER PLANT IN SEI MANGKEI ]]>
<![CDATA[Irwansha Lubis]]>;
<![CDATA[Solly Aryza]]>;
<![CDATA[Hamdani]]>
<![CDATA[ INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence ]]>
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<![CDATA[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.]]>
<![CDATA[ENHANCE A POWER TRANSFORMER INTERFERENCE PROTECTION AT SUBSTATIONS ]]>
<![CDATA[Suranta Putra Tarigan]]>;
<![CDATA[Solly Aryza]]>;
<![CDATA[Adi Sastra P. Tarigan]]>
<![CDATA[ INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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.]]>
<![CDATA[PREDICTIVE MAINTENANCE ON FEED WATER PUMP AT PANGKALAN SUSU ELECTRIC STEAM POWER PLANT (PLTU) ]]>
<![CDATA[Govin Hasiando Marpaung]]>;
<![CDATA[Siti Anisa]]>;
<![CDATA[Solly Aryza]]>
<![CDATA[ INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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.]]>
<![CDATA[APPLICATIONAL OF THE C4.5 ALGORITHM INDETERMINING AIR QUALIT ]]>
<![CDATA[Fandi Rahmadsyah Panggabean]]>;
<![CDATA[Eko Hariyanto]]>;
<![CDATA[Sri Wahyuni]]>
<![CDATA[ INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[The C4.5 algorithm produces an accuracy rate of 63.37% with the resulting attributes with a total of 13 attributes and 9357 data in classifying. The results of the model carried out are quite good by looking at the accuracy value generated because the data can be recognized by data that has no class, even though it is not 100% perfect. The author hopes that further research will apply the same parameters to avoid missing values in pre-processing data. It is hoped that further research will be developed by applying this classification model with other and larger data.]]>
<![CDATA[AN PERFORMANCE EFFECT OF VARIATION VOLTAGE ON POSTPAID AND PREPAID KWH ON THE NUMBER OF TURN OF KWH METER ]]>
<![CDATA[Heru Puja Rivanda]]>;
<![CDATA[Adi Sastra P Tarigan]]>;
<![CDATA[Solly Aryza]]>
<![CDATA[ INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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.]]>
