cover
Contact Name
Leonardus Sandy Ade Putra
Contact Email
leonardusandy@ee.untan.ac.id
Phone
+6281250149669
Journal Mail Official
telectrical@untan.ac.id
Editorial Address
Jl. Prof. Dr. Hadari Nawawi, Pontianak 78124, Indonesia
Location
Kota pontianak,
Kalimantan barat
INDONESIA
Telecommunications, Computers, and Electricals Engineering Journal
ISSN : -     EISSN : 30260744     DOI : https://dx.doi.org/10.26418/telectrical.v1i2
Signal Processing; Communication Networks; Artificial Intelligence, Computer Technology; Power Systems; Image Processing
Articles 68 Documents
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.
DESIGN AND DEVELOPMENT OF FLIGHT CONTROLLER FOR QUADCOPTER DRONE CONTROL Muhamad, Aidil; Panjaitan, Seno Darmawan; Yacoub, Redi Ratiandi
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 1, No 3: February 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v1i3.73681

Abstract

UAV (Unmanned Aerial Vehicle), also commonly called drone, is a flying robot technology that can be controlled remotely and can also fly autonomously based on the mission given by the operator. Drones are usually used for various purposes such as package delivery, watering plants, land mapping, natural disaster monitoring, photography, videography and others. Drones have many types, one of which is a drone with four motors as the main drive, commonly called a quadcopter drone. Quadcopter drones have evolved a lot based on current needs. Although quadcopter drones have many uses, the development of quadcopter drone research in Indonesia is quite slow, one of the quadcopter drone components whose development is quite slow is the flight controller. Flight controller (FC) is a main controller brain in drones that has complex functions in quadcopter drone control. The function of the FC is to regulate motor speed, stabilize and maintain altitude. In this research, FC is designed to control the stability of quadcopter drones while flying. This FC was developed by applying LoRa technology as an internal receiver. LoRa technology is used to receive control data from the remote control (RC) and simultaneously send sensor data. The purpose of this research is to design FC to improve local products in the field of technology and participate in the development of flying robot technology, especially on quadcopter drones and to determine the performance of LoRa technology after being integrated as an internal transceiver in FC for remote control of quadcopter drones.
ENERGY AUDIT OF LIGHTING SYSTEM, AIR CONDITIONING SYSTEM AND MEDICAL EQUIPMENT IN YARSI PONTIANAK GENERAL HOSPITAL Salim Nur Rohman, Raka Hafieda; Abidin, Zainal; Arsyad, M.Iqbal
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 1, No 2: October 2023
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v1i2.72005

Abstract

The energy audit at Yarsi Pontianak General Hospital aims to achieve efficient use of electrical energy without affecting the function and usefulness of a system. The audit method used is a detailed energy audit conducted on lighting systems, air conditioning, and medical equipment. The results of the research on Energy Saving Opportunities (PHE) obtained include PHE No Cost by reducing the ignition time and number of lights in the lighting system, reducing the ignition time and number of air conditioners in the air system, reducing the ignition time of medical equipment, at PHE Low Cost by installing infrared sensors and light sensors, changing the type of refrigerant to musicool refrigerant type, and at PHE High Cost by changing the type of lamp to LED, changing the AC unit to an energy-saving inverter air conditioner, and changing the type of medical equipment with low power consumption. The initial IKE value before doing PHE was 204.56 kWh/m2/year at a cost of Rp.553,541,364, after PHE No Cost the IKE value became 151.94 kWh/m2/year, after PHE Low Cost became 168.48 kWh/m2/year, and after PHE High Cost became 174.92 kWh/ /year. The savings obtained at PHE No Cost amounted to Rp.142,387,308, at PHE Low Cost amounted to Rp.97,636,797, and at PHE High Cost amounted to Rp.80,190,648.
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.
STUDY OF THE EVALUATION OF 10 KWP ON- GRID SOLAR POWER SYSTEM AT PLTD SIANTAN Rahmansyah, Agum; Hiendro, Ayong; Khwee, Kho Hie
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 1, No 3: February 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v1i3.75489

Abstract

The use of fossil fuels as an energy source remains a primary priority today. However, renewable energy is a potential alternative to support the availability of fossil fuels. Renewable energy is derived from natural sources and has sustainable characteristics, such as solar, wind, and hydro power. Solar Power Plants are one of the electrical energy sources that utilize the sun as their primary source. Indonesia, located on the equator, has abundant solar energy with an average solar radiation intensity of around 4.8 kWh/m^2 per day throughout the country, especially in Pontianak, which is situated on the equator. This research focuses on the evaluation study of an On-Grid Solar Power System located at PLTD Siantan. The objective of this study is to determine the amount of energy generated and conduct economic analysis and feasibility analysis of the On-Grid Solar Power System using three methods: Net Present Value (NPV), Profitability Index (PI), and Payback Period (PP). The data collection and calculations revealed that the average energy produced by the Solar Power System at PLTD Siantan is 29.14 kWp. There are a total of 20 installed solar panels, each with a power of 560W, and one inverter with a capacity of 10 kW. The investment cost for the Solar Power System is IDR. 180,868,506.00. The economic feasibility analysis of the Solar Power System using the three methods resulted in an NPV of IDR. 213,645,234.00, a PI value of 2.18, and a PP value of 14 years
DISTRIBUTION TRANSFORMER LIFE LOSS ANALYSIS ON JTM 20 KV DUE TO AMBIENT TEMPERATURE AND LOADING Dupis, Pinsensius; Gianto, Rudi; Junaidi, Junaidi
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 1, No 3: February 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v1i3.73899

Abstract

A continuously operating transformer will inevitably undergo a temperature rise, with the iron core and copper coil as the primary sources of heat generation. The maximum temperature occurring in these components, also known as the hottest spot temperature, is the hottest point. It is essential to maintain a regular flow of temperature within safe limits to prevent any damage. The objective of this study is to estimate the remaining life of the distribution transformer at Tanjungpura University by analyzing its life shrinkage under JTM 20 kV's ambient temperature and loading conditions. To achieve this, transformer loading and top oil temperature were measured for one week. The Montsinger equation was utilized for calculating the transformer aging rate, while a service life of 20 years was assumed as per IEC 60354. Based on findings from research conducted at 4 locations, it was observed that the transformer experiences varying loads with temperature increases exclusively on weekdays from Monday to Friday. The age shrinkage values for each transformer were as follows: 0.0728 p.u, 0.0493 p.u, 0.0044 p.u, and 0.0043 p.u. Considering these research outcomes, the estimated remaining lifespan of the Tanjungpura University distribution transformer is long, and the transformer is in good condition.
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.
DESIGN A MONITORING AND AUTOMATION SYSTEM FOR DRINKING WATER FILLING WITH VOICE COMMANDS USING GOOGLE ASSISTANT Manalu, Madoni Eprahim; Saleh, Muhammad; Priyatman, Hendro
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 1, No 3: February 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v1i3.73628

Abstract

Drinking water filling stations currently still use faucets or buttons to stiffen drinking water filling, where the user is sometimes negligent which results in water overflow during the drinking water filling process and the availability of gallons of water at drinking water filling stations also often runs out. The purpose of this study is to monitor the availability of gallons of water at drinking water filling stations and fill drinking water with voice commands according to the desired water volume using Google Assistant. The command code given is "Turn on the Water Pump", "Turn Off the Water Pump", "Turn on 240 Milliliters", "Turn on 600 Milliliters" and "Turn on 1000 Milliliters" to Google Assistant. The result obtained from this study is the percentage of success of the command code which is 100%. Google Assistant is not able to detect voice commands with environmental conditions of noise interference above 88 dB. The average response speed the tool works at when given a command is 2253 milliseconds. The average error percentage of the HC-SR04 ultrasonic sensor with a manual gauge to determine availability in gallons is 1.8%. The success percentage of the E18-D80NK infrared sensor is 100%. The average error percentage   of the Water Flow Sensor Yf-S201 with a measuring teapot when filling 240 milliliters of drinking water is 8.51%, 600 milliliters is 4.05% and 1000 milliliters is 2.35%.