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Leonardus Sandy Ade Putra
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telectrical@untan.ac.id
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Jl. Prof. Dr. Hadari Nawawi, Pontianak 78124, Indonesia
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INDONESIA
Telecommunications, Computers, and Electricals Engineering Journal
Published by Universitas Tanjungpura
ISSN : -     EISSN : 30260744     DOI : https://dx.doi.org/10.26418/telectrical.v1i2
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Signal Processing; Communication Networks; Artificial Intelligence, Computer Technology; Power Systems; Image Processing
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 14 Documents
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Search results for , issue "Vol 2, No 1: June 2024" : 14 Documents clear
ANALYSIS OF DISTRIBUTION TRANSFORMER LIFE BASED ON LOAD AT PT. PLN (PERSERO) PONTIANAK Pirniawan, Yoga; Gani, Usman A.; Rajagukguk, Managam
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.75928

Abstract

Energy needs in the city of Pontianak are increasingly growing along with population and industrial development. This can be seen from the growth rate of various types of consumer needs, including household, industrial, commercial consumers (shopping centers, entertainment centers, services), educational institutions and offices. A transformer is a static electromagnetic electrical equipment that functions to transfer and change electrical power. Distribution transformers have an important role in distributing electric power in the distribution system. International Electrotechnical Commission (IEC) 534 of 1972 states that if the transformer is loaded stably at its rated power with an ambient temperature of 20 °C, the transformer hot spot temperature will reach 98 °C and the life of the transformer will reach 20 years or 7300 days with losses. normal age 0.0137% per day. The average temperature around the city of Pontianak is 30 °C, so the transformer loading must be adjusted so that the distribution transformer's service life remains normal. There are more than 1000 distribution transformers in Pontianak for residential distribution transformers and industrial distribution transformers. Residential distribution transformers experience a shorter service life because the load usage on the distribution transformer is unstable. This is different from industrial distribution transformers where the usage load is constant. In industrial distribution transformers, there are transformers that are approaching overload with a usage load of 91.88%. The remaining service life is shorter than residential distribution transformers because the load is quite large.
SOLAR POWER PLANT (PLTS) PLANNING BASED ON PVSYST SOFTWARE IN THE JOINT LECTURE BUILDING "“ B TANJUNGPURA UNIVERSITY Sanjaya, Willie; Yandri, Yandri; Hiendro, Ayong
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.76534

Abstract

Renewable energy can be utilized as the main alternative to meet the soaring supply of electrical energy due to the increasing need for electrical energy in Indonesia every year, this research evaluates the solar power plant (PLTS) located in the Tanjungpura University Joint Lecture Building -B, Southeast Pontianak sub-district, Pontianak City. Based on the results of the calculation, the estimated daily energy demand of the Joint Lecture Building - B Tanjungpura University is 115.164 kWh / day and 48,651 kWh / year, the power calculated manually with an area of 156 m^2 solar modules produces a power of 31.2 kWp and the power from the simulation results of PVsyts software with an area of 195m^2 solar modules produces a power of 36 kWp. In this plan, the number of batteries produced by manual calculation is 252 and those produced in the simulation are 240 batteries. From the results of the economic analysis in this study, the total NPV of Rp. 594,737,202 LCC of Rp. 809,481,423 for levelized COE of Rp.1,507/kWh for operating costs or operating costs of Rp. 7,178,000, is the result of economic analysis for 25 years obtained from the results of the PVsyst software simulation.
PLANNING FOR THE ARRANGEMENT OF PUBLIC STREET LIGHTS (PJU) IN BENGKAYANG DISTRICT Supriatna, Muhammad Farhan; Arsyad, Muhammad Iqbal; Danial, Danial
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.78842

Abstract

Public street lighting (PJU) is a public lighting installation that is commonly installed on a street medium, bridges or in certain places such as parks and other public places. The aim of this research is to make the layout of public street lighting lights to be more optimal, efficient and in accordance with the standardization of BSN SNI 7391:2008. The planning of the installation of the PJU lamps is carried out prior to the field observation of the existing conditions followed by the installation process. On the highway of Bengkayang has a total length of road 22,550 metres and only about 17,850 meters that has already installed PJU of 447 points of light and that lives only 318 points with the use of light type SON-T 150 watt, SON- T 250 watt and LED 60 watt. The interpolar distance is an average of 40 meters as well as the width of the road 6 meters and 4 meters, the resulting lighting has met and slightly exceeded the standard. Based on the results of the planning, optimization of the existing road length 17,850 meters and the addition of light points of 4,700 meters in the road and corridors that have not yet had street lighting, so that the total length of the road 22,550 metres and 568 light points are divided into 2 classes of road i.e. primary and local collectors. The total energy consumption of 568 lamps is 584.4 kWh per day and is 6.54 per cent more efficient than the current 625,32 kWh of 318 lamps per day, despite an increase in the number of lamps of 250 points.
ANALYSIS OF THE SUCCESS LEVEL OF WIRELESS DATA COMMUNICATION PERFORMANCE USING SX1278 TRANSCEIVER AT 433 MHz SPECTRUM Pratiwi, Anggie; Marpaung, Jannus; Kusumawardhani, Eka
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.77614

Abstract

In wireless communication, the success of information exchange is a critical aspect, evaluated based on parameters such as Packet Delivery Ratio (PDR) and packet loss. Several factors, such as antenna gain, antenna height, and transmission distance, if not appropriately configured, can result in a small packet data ratio due to the loss of packets in wireless communication, leading to a lack of received information. Therefore, research has been conducted to identify and understand the causes of a small packet data ratio due to packet loss. The results obtained from this research show a Packet Delivery Ratio (PDR) of 100% and packet loss of 0% with the use of a 3 dBi gain antenna, which is only able to reach a distance of 400 meters. Meanwhile, the use of a 5 dBi gain antenna can reach a distance of 800 meters. Increasing the gain antenna can enhance the transmission distance. In terms of antenna height variation, a 3 meter height achieves a Packet Delivery Ratio (PDR) of 100% and packet loss of 0%, covering a distance of 600 meters, while the use of a 6-meter antenna height can reach a distance of 800 meters. Increasing the antenna height can improve the transmission distance.
IDENTIFICATION OF THE DISTRIBUTION OF BLANK SPOT AREAS OF THE GSM NETWORK ON SEVERAL ROAD SECTIONS OF RASAU JAYA DISTRICT USING THE DRIVE TEST METHOD Rizki, Muhammad Nur; Marpaung, Jannus; Imansyah, Fitri
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.76177

Abstract

This research investigates blank spot areas on the GSM network in Rasau Jaya District with an emphasis on several roads. The drive test method and G-Nettrack application are used to identify and measure signal quality, especially RSRP (Reference Signal Received Power), from three main providers: Telkomsel, H3I, and Indosat. The research results reveal significant variations in RSRP values in blank spot areas on primary and secondary roads. On primary road Telkomsel providers with signal categories are: Very Good 77, Good 237, Not Good 227, Very Bad 465. Indosat Ooredo Primary Road, Very Good 118, Good 462, Not Good 356, Very Bad 200, H3I Primary Road , Very Good 118, Good 230, Not Good 409, Very Bad 175. Then data Telkomsel Secondary Road Very Good 60, Good 287, Not Good 75, Very Bad 1232. Indosat Ooredo Secondary Road, Very Good 122, Good 102 No Good 158, Very Bad 1372, H3I Secondary Road, Very Good 117, Good 135, Not Good 145, Very Bad 1362. Data analysis confirms that the further the measurement distance from the Base Transceiver Station (BTS), the signal quality tends to decrease, especially in the very bad category. Identification of the distribution of blank spot areas also provides insight into locations that require signal improvement, providing a basis for improvement steps in developing the GSM network in the region.
FORECAST OF ELECTRIC ENERGY CONSUMPTION IN SANGGAU REGENCY USING COMBNED METHODS Junardi, Ignasius Ari
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.78909

Abstract

Electrical energy is an essential need in this era that continues to increase in line with economic and population growth. This condition must of course be anticipated as early as possible so that the provision of electrical energy can be available in sufficient quantities, thus forecasting electrical energy demand is an anticipatory step to see the growth in electrical energy demand which is expected to grow rapidly in the following years. In conducting this research, the data used is in the form of electrical energy customer data, connected power and electrical energy consumption which is then calculated and compared the results between the DKL 3.2 model and the simple linear regression method. The total forecast results of the DKL 3.2 method in 2028 are 141,990 customers, 444,266,970.17 kWh, 232,100,915.26 VA, while the simple linear regression method is 159,850 customers, 302,867,395.10 kWh, 305,291,235 VA. The results of the calculation of projected electrical energy demand in Sanggau Regency in 2024-2028 continue to increase, in the DKL 3.2 model for the number of customers the average annual increase is 3.292%, connected power is 3.126% and for electrical energy consumption is 15.031%. Meanwhile, for the simple linear regression method for the number of customers the average annual increase is 5.680%, connected power is 8.529% and for electrical energy consumption is 6.615%. From the comparison of the two methods for the linear regression method, the calculation is more accurate than the DKL 3.2 model with the difference in error in the number of electrical energy customers by 2.388%, connected power by 5.722% and electrical energy consumption by 8.416%
KNN MACHINE LEARNING ARCHITECTURE FOR PNEUMONIA CHEST X-RAY CLUSTERING Firdaus, Mohamad
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.78604

Abstract

In the last century, the use of machine learning, especially the K-Nearest Neighbor (KNN) has greatly helped the world of health (medicine). Through action research on image datasets, KNN succeeded and was able to show classification or grouping based on the same characteristics and properties on unlabeled images with higher accuracy and faster than other machine learning methods. This is very useful for the world of health, especially in the use of chest x-rays (chest x-rays) in the medical world. This study aims to optimize the KNN. The results of research to predict the type of covid disease from Chest X Ray image data using the K-Nearest Neighbor architecture are normally not very good with an accuracy value between 1 to 0.965. The result of the research for validation accuracy is constant in 0.95.
SOLAR PV-DIESEL HYBRID SYSTEM FOR THE NANGA MAN VILLAGE Wibowo, Dandy Putra; Yusuf, Muhammad Ismail; Hiendro, Ayong
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.78914

Abstract

PLN finds it difficult to meet the electricity needs of the entire Indonesian population. Therefore, it is necessary to develop and optimize New Renewable Energy (EBT) such as solar energy, ocean energy, geothermal, and hydropower. This research uses secondary data that can be accounted for and uses Homer Energy Modeling software to analyze the use of available energy. This research analyzes the planning of a hybrid power plant that uses diesel and solar to meet energy needs in Nanga Man Village from an economic perspective. From the simulations conducted, the analysis results show that the configuration of solar panels - inverter - grid in the on-grid system results in a total overall cost of Rp8,280,976,634.66.
OPTIMIZATION OF TRASH BIN USAGE BASED ON INTERNET OF THINGS (IOT) Adrian, Ari; Saleh, Muhammad; -, Syaifurrahman; Supriono, Supriono
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.77615

Abstract

Trash is a byproduct of human activity that poses serious challenges in its management. Suboptimal handling can lead to trash spread, create uncomfortable environmental conditions, and produce hazardous gases such as methane, ammonia, and hydrogen sulfide. To address this, an Internet of Things (IoT)-based trash bin optimization system is needed. This system includes monitoring trash height, gases produced by the trash, and trash weight using sensors installed on the trash bin, such as the HC-SR04 ultrasonic sensor, MQ-4 sensor, MQ-135 sensor, TGS2602 sensor, and load cell sensor. Additionally, the system is equipped with an automatic lid system using the MG995 servo motor and Solenoid Lock Door to lock the trash bin when it is full. Specific limits have been set for each trash parameter, and if they exceed these limits, the automatic system will lock the trash bin and send notifications through the Blynk application on a smartphone. Component testing in this research has shown satisfactory results, with high levels of accuracy. Overall, the designed system successfully optimizes the use of trash bins by providing immediate notifications to sanitation workers when the trash bin is full, preventing scattered trash piles, and maintaining the safety and comfort of the surrounding environment.
THE STUDY ON VOLTAGE IMPROVEMENT OF MEDIUM VOLTAGE OVERHEAD WIRE BY TRANSFORMER TAPPING SELECTION Sambira, Deksa Mahesa Cipy; Junaidi, Junaidi; Kurnianto, Rudi
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.78891

Abstract

One of the problems found in the power system is the change or decrease in voltage caused by the power plant center being far from the load center. This study aims to determine the condition of the voltage drop on the Husein Hamzah Feeder and how the use of tap transformers to reduce the voltage drop. The calculation process is simulated using ETAP 19.0.1 software. Based on the simulation results, in the existing condition, the percentage of voltage at the medium voltage bus still meets PLN standards, while at the low voltage bus there are still buses below the standard with a percentage of voltage drop of 3.48%. After making improvements by increasing the transformer tap, the voltage drop value on the bus has decreased to 3.42%. It can be concluded that after making improvements by increasing the transformer tap, the voltage percentage on the rectifier has met SPLN No.72 of 1987 where the percentage of voltage drop does not exceed 5% of the working voltage.

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