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
Articles
842 Documents
<![CDATA[A VALUE OF BODY CONDITION SCORE (BCS), SERVICE PER CONCEPTION (S/C) AND CALVING INTERVAL (CI) ONGOLE CROSSBREEDS IN DELI TUA DISTRICT ]]>
<![CDATA[Jefri Batubara]]>;
<![CDATA[Sukma Aditya Sitepu]]>;
<![CDATA[Andhika Putra]]>
<![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 relationship between Body Condition Score and Service per Conception and Calving Interval of Ongole Crossbreeds in Deli Tua District. The material used was 75 Ongole Crossbreed cows. The method used is a case study, data collection is carried out primary and secondary. The variables observed were Body Condition Score (BCS), Service per Conception (S/C), Calving Interval (CI). The results showed that the average Body Condition Score (BCS) for PO cattle was 2, the S/C value was 1.9 and the Calving Interval was 14-15 months]]>
<![CDATA[AN IMPROVEMENT OF PIEZOELECTRIC POWER PLANT DESIGN IN SLEEP POLICE BLUFF BODY BASED ON CANTILEVER SYSTEM ]]>
<![CDATA[Johannes Stevanus Parulian Simanjuntak]]>;
<![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[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.]]>
<![CDATA[CHANGES OF SINUS WAVE INVERTER RENEWAL IN PLTS HOUSE PLANTS ]]>
<![CDATA[Januar Elansa 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[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.]]>
<![CDATA[RECRUITMENT OF NEW EMPLOYEE USING SELECTION PROCESS FOR DETERMINING DECISIONS WITH THE PREFERENCE SELECTION INDEX METHOD ]]>
<![CDATA[Pandu Adi Cakranegara]]>;
<![CDATA[Efendi]]>;
<![CDATA[Aditya Wardhana]]>;
<![CDATA[Tienni Mariana Simanjorang]]>;
<![CDATA[Revi Sesario]]>
<![CDATA[ INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[The most important thing for companies is to hire new people who have the skills and qualities needed for the job or acceptance offered. The ability of a company to run well depends a lot on the quality of its employees. The issue of hiring people and getting the finest applicants can be overcome with the aid of decision-making procedures. In a recruitment process, there are many selection mechanisms in businesses with varying criteria. In this study, decision-makers are selecting candidates for employment based on specified criteria, including an intelligence test (C1), an interview test (C2), a test of skills and abilities (C3), an assessment of attitudes and behaviors (C4), and work experience (C5). The calculating approach employs the Preference Selection Index (PSI) method because it can be applied to situations with multiple criteria and attributes and does not require the decision maker to calculate the weights of the criterion. The 3 best option candidates for the employees with the greatest PSI value, which is PSI = 0.88186, are determined by the results of the final PSI method computation from 5 alternatives.]]>
<![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 ]]>
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.]]>
