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All Journal JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro INTECOMS: Journal of Information Technology and Computer Science Journal of Applied Engineering and Technological Science (JAETS) INFOKUM Jurnal Ekonomi International Journal of Economic, Technology and Social Sciences (Injects)
Hamdani
Universitas Pembangunan Panca Budi
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Public Health Social Sciences

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Reliability System Detection Of 1 Phase Network Short Detection Disorders Daniel Tampubolon; Solly Aryza; Hamdani
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

In this study describes a circuit to detect the location of a fault line short 1 phase network. The single power supply that emits a voltage of 12 V will be converted into 2 voltage sources, namely voltage (+) and voltage (-). This voltage is used to supply a parallel resistance circuit which functions to find the difference in voltage to be measured. The difference in voltage is sent to the op amp. The op amp used is IC TL084 CN which has 4 op amps and only 1 op amp is used. After outputting the voltage from the op amp, it is sent to the interface (ADC). The signal emitted by the op amp is still an analog signal. While we use a PC that can only receive digital signals. So we need a series of interfaces (ADC) so that the PC can receive signals from the circuit. The cable used to send the signal uses an RS 232 cable or a serial USB cable. After the PC receives the signal via a serial USB cable, the signal is processed in Visual Basic 6.0. Before testing the tool, calibration is carried out first so that the resulting data results are more accurate which will be displayed in Visual Basic 6.0
Analyzing (Condition Based Maintenance) Level 1 On Substation Equipment PT. PLN Persero Berastagi Ramadan Sembiring; Solly Aryza; Hamdani
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Condition Based Maintenance (CBM) is a proposed maintenance program based on a decision to collect data from factory condition measurements. CBM is an attempt to save money by carrying out essential inspections only when something odd happens in production. Data acquisition (information gathering) refers to the process of capturing and storing data or information that is useful for CBM purposes during the data acquisition (information gathering) stage. This is the most basic step in implementing a CBM program to identify and predict equipment failures. This study aims to see Condition Based Maintenance (CBM) level 1 on substation equipment. CBM applications are used to streamline the storage and monitoring of inspection data equipment by observing machine/work equipment parameters, such as vibration measurement, oil level, temperature, pressure, flow and ultrasonic flow detectors. The research approach used in this study consisted of three steps, namely literature review, testing, and observation by processing data using the mean life Calculator (LM). There are two types of treatment and condition data collected in the CBM program. Based on the results of monitoring with CBM at the PT PLN Persero Berastagi substation, incident data consists of information about what happened (damage, installation, inspection, etc.) and what has been done (repair, prevention, oil change, etc.). ) in less than a month.
Analyze Failure Of An Electrostatic Precipitator Ash Transfer System (ESP) At Pltu Pangkalan Susu Operation Maintenance Unit (OMU) Reksha; Adi Sastra Tarigan; Hamdani
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

An electrostatic precipitator is a technology that removes residual ash from burning before being released into the atmosphere. The ionization process occurs on to flue gas inside electrostatic precipitator which then collected by collecting plate. Flue gas ionization is one thing that affects the efficiency of an electrostatic precipitator. The purpose of this research was to understand the effect of an overhaul on the efficiency calculation of electrostatic precipitator in Banten 3 Lontar OMU Power Plant. This research uses quantitative research methods with descriptive statistical analysis techniques. The data source used is the performance test inspection report data as well as technical data on unit 2 electrostatic precipitator obtained from PLTU Pangkalan Susu Lontar Power Plant. Data will be analyzed based on the calculation of total efficiency and the inspections into the electrostatic precipitator which affect voltage efficiency. Based on the analysis of the data obtained, the total efficiency of the electrostatic precipitator and an increase in voltage applied into discharge electrode will increase dust removal of electrostatic precipitator’s efficiency. Based on inspection data of unit 2 electrostatic precipitator of PLTU Pangkalan Susu Lontar Power Plant, overhaul tends to results in increasing voltage value from 36.25 kV into 50.06 kV. The value of the total efficiency of unit 2 electrostatic precipitator after the overhaul is 76%.
Predictive Maintenance Analysis In Predicting Equipment Damage In Balance Of Plant (BOP) Area (Pangkalan Susu Power Plant Case Study) Tri Satria Tegar; Solly Aryza; Hamdani
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Along with the increasing demand for electricity use in Indonesia, especially north Sumatra, PT. PLN (PERSERO) built a coal-fired steam power plant. With the existence of this steam power plant, it can help the country's electricity supply, especially in Sumatra. As is known that steam power plants are plants that have a high potential for equipment damage, especially the Balance of Plant (BOP) area. Therefore, a team is formed that can overcome and identify equipment damage with certain tools, called the Predictive Maintenance team. Predictive Maintenance (PdM) techniques are designed specifically to help determine the condition of equipment assets used as a reference for predictions for when asset maintenance activities should be carried out. Predictive Maintenance (PdM) is a form of maintenance that directly monitors the condition and performance of equipment during normal operation to reduce damage or failures in the future. The main tools used for Predictive Maintenance are Vibration Meter and Infrared Thermography. And the equipment has standards or limits resulting from trending measurement data and also has international standards as a reference. There was damage to one of the Balance of Plant (BOP) equipment, which is Demineralized (DM) Pump that causes the supply of demineralized water to the unit to be reduced and the unit load cannot be increased to maximum. With predictive maintenance (PdM) analysis, it can be quickly identified that the damage was in the drive end (DE) motor bearing of the demineralized equipment (DM) pump. Replacement of bearing on the Demineralized motor (DM) can maximize the performance of the unit so as to make an electrical energy saving of 1,095,360 kWh. In addition, it also has financial benefits of Rp. 681,781,917,-
Study Of Reliability Of Smart Parking Systems Based On Microcontroller Esp 8266 NodeMcu Adril Arnas; Solly Aryza; Hamdani
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Automatic system is a process to control the operation of an a tool that can automatically replace the role of humans. One of the industries that is also experiencing rapid progress is in the field of parking (Smart Parking) for vehicles, both two-wheeled and four-wheeled vehicles. The current parking system still uses a lot of conventional parking systems that only utilize parking lots and parking attendants who control each incoming vehicle and also often do not pay attention to the capacity of the parking lot owned by a building. The research describes a design to build a parking prototype to make it easier for drivers to find empty parking slots. The tool that will be built will start when the car enters the parking area and is detected by the TCRT-5000 sensor, then the servo opens the gate at the command of the Arduino and the driver looks for an empty parking lot. The driver can see the empty parking slots through the parking application that is connected to the database through the Esp 8266 NodeMcu. The LCD will issue an output in the form of letters and numbers.
Study Of Reliability Of Over Current Relay (OCR) On Power Transformer Based On Matrix Laboratory Ryan Rivaldi Simatupang; Solly Aryza; Hamdani
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Distribution of electrical energy by There are many aspects that need to be considered, one of which is the reliability of the protection system. The protection system is a system that functions to prevent or limit damage to equipment due to interference and in the distribution of the electric power system cannot be separated from interference, therefore a protection is needed so that electrical energy can be channeled to consumers properly, where the types of protection include: overcurrent relay. This study describes an overcurrent detector that exceeds a predetermined setting value, whether caused by a short circuit between phases or an overload, from the calculation of the interphase fault current that occurs, the largest value of the short circuit fault current between phases is located at the 0% point. of 8113.79 Ampere and the smallest value of short-circuit fault current between phases is located at the 100% point of 1208.10 Ampere and comparison with experiments using the Matrix Laboratory (MATLAB) application obtained results that are not too far from the results of manual calculations.
Optimized Permanent Magnet Assisted Synchronous Reluctance Motor Design and Comparison (PMa-SynRM) Induction Motor with Identical NEMA Stator Frame Vorezky; Solly Aryza; Hamdani
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The performance of a synchronous reluctance motor (SynRM) depends on the direct axis inductance (Ld) and the square axis inductance (Ld) of the machine. To achieve a high torque density and power factor, increasing the saliency ratio Ld/Lq and making this inductance difference (Ld-Lq) large enough is a well-known method. Otherwise, the performance of the motor will remain below that of a similar induction engine using a similar stator. This study attempts to place the right amount of permanent magnet in the rotor in the right position, it will be possible to achieve a significant increase in the performance of permanent magnet-assisted SynRM (PMa-SynRM) which will be comparable to an induction machine with the same stator. The PMa-SynRM will benefit from the reduction in price due to the use of a conventional induction machine stator.
An Improving Electricity Wiring Safety Based Ecu-Design For Energy Consumption Monitoring Apartments In Medan Erichand Ricahardo Sagala; Solly Aryza; Hamdani
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

In this era of information households, electrical energy consumption is divided into two, namely the low economy class which consumes the most electricity, around 20.00%, and the upper-middle economic class which consumes the most electricity. about 20.00 to 32.00% ac. Vertical living is widespread in the middle economy class, with occupancy increasing by 9.52% in 2017. In this situation, an analysis of energy consumption and savings is required. The problem of the simple rental apartment case in Medan Asia Mega Mas Indonesia is a clear example of the need for an energy monitoring system. this is due to the use of electricity that is not by the function of the apartment, such as air conditioning and washing machines. Energy meter systems measure the voltage and current of electrical equipment connected to the system. the voltage sensor used is zmpt101b5 and the current sensor used is acs712. The design of this energy meter system can measure the voltage and current of electrical equipment with an error rate of 4.40%. according to the measurement results, the air conditioning system is the most power-consuming resource in the 800kwh range.
A DETECT PARTIAL DISCHARGE IN ISOLATOR USING A FLUKE ii910 SONIC INDUSTRIAL IMAGER IN PTR 03 FEEDER (SARIBU DOLOK) Akbar Primary S; Hamdani Hamdani; Siti Anisah
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Partial discharge is a very serious problem that should be monitored quickly. The cause of Partial discharge failure is due to the presence of voids filled with gas/air in the insulation material. Partial discharge can also be regarded as losses because it can reduce the quality of the insulation material. This study aims to detect partial discharge using the Fluke ii910 Sonic Industrial Imager. Tests in this study using descriptive quantitative research methods. From the tests that have been carried out, it can be concluded that using the Fluke ii910 Sonic Industrial Imager can make it easier to find partial discharges on the insulator and minimize the impact of interference caused by partial discharges
AN ANALYSIS CAUSES OF LINE DISTURBANCE IN ELECTRICITY DISTRIBUTION IN PT. PLN (PERSERO), ULP EAST BINJAI Eky Firdian Fauzi; Siti Anisah; Hamdani Hamdani
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The distribution line is the section of the electricity line that is closest to the community; it is divided into two parts: primary and secondary distribution lines. PLN primary distribution voltages are 20 KV, 12 KV, and 6 KV. The primary distribution voltage that PLN typically produces is 20 kV. The purpose of this study is to use FTA to determine the main causes of disturbances in the electricity distribution line at ULP Binjai Timur (Fault Tree Analysis). The large difference between the electrical energy sent from the substation and the electrical energy obtained from customer consumption demonstrates the study's findings. The following are the causes of these disturbances: component JTM (I1) with as many as 55 faults (12.5 percent), JTM equipment (I2) with as many as 30 faults (6.7 percent), transformer faults (I3) with as many as 8 faults (1.8 percent), natural disturbances (I4) as many as 1 disturbance (0.2 percent), external disturbances (E1) as many as 15 disturbances (3 percent), natural disasters (E2) as many as 61 disturbances (13.7 percent), the work of other parties/animals (58.2 percent). After conducting research on the causes of disturbances in the electricity distribution line at ULP Binjai Timur and analyzing the data with Fault Tree Analysis (FTA), it was discovered that the main cause of disturbance is a human disturbance, manifested as kites, banners, and digging PDAM channels
Co-Authors , Rahmadhani Fitri Adi Sastra Adi Sastra P. Tarigan Adi Sastra Tarigan Aditya Maulana Adril Arnas Akbar Primary S Andreas Antonius Hutapea Arnawan Hasibuan Daniel Tampubolon David Simanullang Deny Firmansyah Dicky Prasetya Eky Firdian Fauzi Erichand Ricahardo Sagala Fazrin Hafiz Frans Erwinsyah Simaremare Ikardius Barus M Fahrur Roji M. Rijal Melly Andriana Nelly Astri Manik Parlin Siagian Putra Andhika Putra, Randi Rian Ramadan Sembiring Reksha Rizky Purba Ryan Rivaldi Simatupang Siti Anisah Solly Aryza Soly Aryza Tri Satria Tegar Vorezky Zuraidah Tharo