Pub Date : 2024-02-13DOI: 10.26418/telectrical.v1i3.75489
Agum Rahmansyah, A. Hiendro, K. H. Khwee
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
{"title":"STUDY OF THE EVALUATION OF 10 KWP ON- GRID SOLAR POWER SYSTEM AT PLTD SIANTAN","authors":"Agum Rahmansyah, A. Hiendro, K. H. Khwee","doi":"10.26418/telectrical.v1i3.75489","DOIUrl":"https://doi.org/10.26418/telectrical.v1i3.75489","url":null,"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","PeriodicalId":517333,"journal":{"name":"Telecommunications, Computers, and Electricals Engineering Journal","volume":"201 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140457369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-11DOI: 10.26418/telectrical.v1i3.74504
Beny Layarda
Geographically, Indonesia is located on the equator, so it is very rich in solar energy sources with an average solar radiation intensity of around 4.8 kWh/m2 per day throughout Indonesia. The main component contained in solar power plants is solar cells which function to convert sunlight into electrical energy This research discusses the Planning of Solar Power Plants for Household Scale Assisted by the PVsyst Program. The purpose of this research is to determine how many solar modules, batteries, solar charger controllers, and inverters are needed for planning solar power plants in households with 900 VA and 1300 VA power. Based on manual calculations and simulations of the PVsyst program, 10 Luxor Ecoline Half Cell 280 Wp polycrystalline modules, 12 Narada EosG 2000 Ah batteries, 1 Victron Energy Mppt 250/100 solar charge controller, and 1 Victron Multiplus Compact 24/1200/25 inverter. The capacity of the solar power plant components for 900 VA and 1300 VA household loads is approximately the same, this is because the average daily energy usage is only slightly different. In 900 VA households, the number of occupants of 6 people uses 7088 Wh/day of energy, while in 1300 VA households with 4 occupants uses 7274.5 Wh/day of energy.
{"title":"SOLAR POWER PLANT PLANNING FOR HOUSEHOLD SCALE BY THE AID PVSYST PROGRAM","authors":"Beny Layarda","doi":"10.26418/telectrical.v1i3.74504","DOIUrl":"https://doi.org/10.26418/telectrical.v1i3.74504","url":null,"abstract":"Geographically, Indonesia is located on the equator, so it is very rich in solar energy sources with an average solar radiation intensity of around 4.8 kWh/m2 per day throughout Indonesia. The main component contained in solar power plants is solar cells which function to convert sunlight into electrical energy This research discusses the Planning of Solar Power Plants for Household Scale Assisted by the PVsyst Program. The purpose of this research is to determine how many solar modules, batteries, solar charger controllers, and inverters are needed for planning solar power plants in households with 900 VA and 1300 VA power. Based on manual calculations and simulations of the PVsyst program, 10 Luxor Ecoline Half Cell 280 Wp polycrystalline modules, 12 Narada EosG 2000 Ah batteries, 1 Victron Energy Mppt 250/100 solar charge controller, and 1 Victron Multiplus Compact 24/1200/25 inverter. The capacity of the solar power plant components for 900 VA and 1300 VA household loads is approximately the same, this is because the average daily energy usage is only slightly different. In 900 VA households, the number of occupants of 6 people uses 7088 Wh/day of energy, while in 1300 VA households with 4 occupants uses 7274.5 Wh/day of energy.","PeriodicalId":517333,"journal":{"name":"Telecommunications, Computers, and Electricals Engineering Journal","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139895131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
SUTT is a high voltage overhead line with a power of 70 kV - 150 kV to distribute electric power from the generating center to the substation or from substation to substation. The purpose of this study was to obtain modeling of lightning strike density on the 150 kV transmission line between Parit Baru substation and Senggiring substation using geostatistical approaches, namely IDW methods (Inverse Distance Weighted). In identifying the level of vulnerability to lightning strikes, Cloud to Ground lightning event data (2018–2020) is used. The aim of this research is to obtain the density pattern of lightning strikes on the 150 kV transmission line between the Parit Baru substation and the Senggiring substation. The process in ArcGIS 10.8 software aims to obtain lightning strike density and display the results of the lightning strike density map. Based on the results of data processing for 3 years, the highest density of lightning strikes occurred in 2019 in Segedong District at 54.52 strikes/km². Meanwhile, the lowest density of lightning strikes occurred in 2018 in East Mempawah District, amounting to 2.86 strikes/km². Based on the lightning strike density map per grid on the 150 kV transmission line between Parit Baru substation and Senggiring substation for 3 years, the results obtained for the highest lightning strike were 36 strikes/km² while for the lowest strike it was 1 strike/km². From this research, it was found that there were 15 transmission towers that passed a high density of lightning strikes with a strike range of 25–36 strikes/km² and the highest lightning strike occurred at tower number 31, number 30, and number 29, amounted to 36 strikes/km².
{"title":"EVALUATION OF CLOUD TO GROUND FLASH DENSITY OF 150 KV TRANSMISSION LINE BETWEEN PARIT BARU SUBSTATION AND SENGGIRING SUBSTATIO","authors":"Ayub Rainaldo Manalu, Danial Danial, Managam Rajagukguk","doi":"10.26418/telectrical.v1i3.73668","DOIUrl":"https://doi.org/10.26418/telectrical.v1i3.73668","url":null,"abstract":"SUTT is a high voltage overhead line with a power of 70 kV - 150 kV to distribute electric power from the generating center to the substation or from substation to substation. The purpose of this study was to obtain modeling of lightning strike density on the 150 kV transmission line between Parit Baru substation and Senggiring substation using geostatistical approaches, namely IDW methods (Inverse Distance Weighted). In identifying the level of vulnerability to lightning strikes, Cloud to Ground lightning event data (2018–2020) is used. The aim of this research is to obtain the density pattern of lightning strikes on the 150 kV transmission line between the Parit Baru substation and the Senggiring substation. The process in ArcGIS 10.8 software aims to obtain lightning strike density and display the results of the lightning strike density map. Based on the results of data processing for 3 years, the highest density of lightning strikes occurred in 2019 in Segedong District at 54.52 strikes/km². Meanwhile, the lowest density of lightning strikes occurred in 2018 in East Mempawah District, amounting to 2.86 strikes/km². Based on the lightning strike density map per grid on the 150 kV transmission line between Parit Baru substation and Senggiring substation for 3 years, the results obtained for the highest lightning strike were 36 strikes/km² while for the lowest strike it was 1 strike/km². From this research, it was found that there were 15 transmission towers that passed a high density of lightning strikes with a strike range of 25–36 strikes/km² and the highest lightning strike occurred at tower number 31, number 30, and number 29, amounted to 36 strikes/km².","PeriodicalId":517333,"journal":{"name":"Telecommunications, Computers, and Electricals Engineering Journal","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139894743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-10DOI: 10.26418/telectrical.v1i3.73899
Pinsensius Dupis, Rudi Gianto, Junaidi Junaidi
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.
{"title":"DISTRIBUTION TRANSFORMER LIFE LOSS ANALYSIS ON JTM 20 KV DUE TO AMBIENT TEMPERATURE AND LOADING","authors":"Pinsensius Dupis, Rudi Gianto, Junaidi Junaidi","doi":"10.26418/telectrical.v1i3.73899","DOIUrl":"https://doi.org/10.26418/telectrical.v1i3.73899","url":null,"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.","PeriodicalId":517333,"journal":{"name":"Telecommunications, Computers, and Electricals Engineering Journal","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139894773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-10DOI: 10.26418/telectrical.v1i3.72141
Asdam Syarif, Fitriah Fitriah, Rudi Kurnianto
The development of electricity at Tanjungpura University, especially in the Faculty of Engineering, is very rapid in line with the development of new buildings and facilities in the campus environment which require a large electricity supply. The increasing use of electrical energy on the user side results in inappropriate loading. If this situation persists for a long time it will result in overload. For this reason, the researchers planned a centralized transformer based on minimal voltage drops and ideal transformer loading which refers to SPLN 72.1987. Determining the optimal location of this transformer uses literature study methods, field observations and descriptive analytics. In determining the location of a centralized transformer, several calculations are carried out, namely full load current calculation, distribution transformer loading calculation, manual voltage drop calculation and voltage drop simulation, transformer capacity calculation, voltage drop analysis over network area, voltage drop condition over network area, transformer layout calculation. , and calculate the type of cable to be used. By carrying out this study to determine the optimal location of the transformer, based on calculations and analysis, it can be determined that the ideal transformer capacity is 3000 kVA (3000000 VA), the loading results are 19,7%, the voltage drop is 0.44%, and the cable cross-sectional area is 150 mm2.
{"title":"STUDY OF DETERMINING THE OPTIMUM LOCATION OF CENTRALIZED TRANSFORMERS AT THE FACULTY OF ENGINEERING TANJUNGPURA UNIVERSITY","authors":"Asdam Syarif, Fitriah Fitriah, Rudi Kurnianto","doi":"10.26418/telectrical.v1i3.72141","DOIUrl":"https://doi.org/10.26418/telectrical.v1i3.72141","url":null,"abstract":"The development of electricity at Tanjungpura University, especially in the Faculty of Engineering, is very rapid in line with the development of new buildings and facilities in the campus environment which require a large electricity supply. The increasing use of electrical energy on the user side results in inappropriate loading. If this situation persists for a long time it will result in overload. For this reason, the researchers planned a centralized transformer based on minimal voltage drops and ideal transformer loading which refers to SPLN 72.1987. Determining the optimal location of this transformer uses literature study methods, field observations and descriptive analytics. In determining the location of a centralized transformer, several calculations are carried out, namely full load current calculation, distribution transformer loading calculation, manual voltage drop calculation and voltage drop simulation, transformer capacity calculation, voltage drop analysis over network area, voltage drop condition over network area, transformer layout calculation. , and calculate the type of cable to be used. By carrying out this study to determine the optimal location of the transformer, based on calculations and analysis, it can be determined that the ideal transformer capacity is 3000 kVA (3000000 VA), the loading results are 19,7%, the voltage drop is 0.44%, and the cable cross-sectional area is 150 mm2. ","PeriodicalId":517333,"journal":{"name":"Telecommunications, Computers, and Electricals Engineering Journal","volume":"5 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139895206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-10DOI: 10.26418/telectrical.v1i3.72983
Dustin Muhammad, A. Hiendro, Y. Yandri
Solar Power Plant is a plant that uses solar energy as a renewable source and converts solar energy into electrical energy. To maximize the intensity of sunlight, solar panels need an optimal tilt angle to receive high sunlight intensity. This research aims to determine the optimal tilt angle of solar panels and azimuthal angle so that solar panels obtain maximum output energy. The type of solar panel used is the monocrystalline type with an installed power of 1.51 MW with a total of 2800 panels using a nominal panel power of 540 Wp and 12 units of 1.1 kW inverters. At the research location, Tanjungpura University Solar Power Plant with coordinates 0°3'37.486" LU 109°20'34.633" BT (-0.060410, 109.342969). With a simulation method using PVsyst software to determine the optimal tilt angle and solar radiation data on meteonorm 8.1 in PVsyst software. The results showed that the optimal panel tilt angle and azimuth angle in producing maximum output energy at Tanjungpura University Solar Power Plant is at a panel angle of 5° with the azimuth angle facing northeast (-45°) with an output energy of 2365 MWh/year, specific production of 1564 kWh/kW/year, and normalized production of 4.29 kWh/kWp/day.
{"title":"DETERMINATION OF TILT AND AZIMUTH ANGLES OF SOLAR PANELS AT TANJUNGPURA UNIVERSITY SOLAR POWER PLANT USING PVSYST 7.3 SOFTWARE SIMULATION","authors":"Dustin Muhammad, A. Hiendro, Y. Yandri","doi":"10.26418/telectrical.v1i3.72983","DOIUrl":"https://doi.org/10.26418/telectrical.v1i3.72983","url":null,"abstract":"Solar Power Plant is a plant that uses solar energy as a renewable source and converts solar energy into electrical energy. To maximize the intensity of sunlight, solar panels need an optimal tilt angle to receive high sunlight intensity. This research aims to determine the optimal tilt angle of solar panels and azimuthal angle so that solar panels obtain maximum output energy. The type of solar panel used is the monocrystalline type with an installed power of 1.51 MW with a total of 2800 panels using a nominal panel power of 540 Wp and 12 units of 1.1 kW inverters. At the research location, Tanjungpura University Solar Power Plant with coordinates 0°3'37.486\" LU 109°20'34.633\" BT (-0.060410, 109.342969). With a simulation method using PVsyst software to determine the optimal tilt angle and solar radiation data on meteonorm 8.1 in PVsyst software. The results showed that the optimal panel tilt angle and azimuth angle in producing maximum output energy at Tanjungpura University Solar Power Plant is at a panel angle of 5° with the azimuth angle facing northeast (-45°) with an output energy of 2365 MWh/year, specific production of 1564 kWh/kW/year, and normalized production of 4.29 kWh/kWp/day.","PeriodicalId":517333,"journal":{"name":"Telecommunications, Computers, and Electricals Engineering Journal","volume":"118 1-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139894794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-10DOI: 10.26418/telectrical.v1i3.69802
Alfodaniel Theodorus Barahama, Fitri Imansyah, Eka Kusumawardhani
The implementation of 5G cellular technology in Indonesia needs to be studied in several aspects. So that several cellular operators in Indonesia have experienced difficulties in implementing 5G cellular technology in Indonesia, especially in Pontianak City. Therefore, the analysis of pathloss values in cellular systems is an approach to large-scale fading aspects to calculate service coverage. This research calculates the pathloss value with a case study in Pontianak City with micro urban cell characteristics. In this research, ABG (Alpha-Beta-Gamma) prediction model is used with working frequency of 3.5 GHz and 28 GHz with bandwidth of 100 MHz. The calculation results of the ABG prediction model at a frequency of 3.5 GHz has a value of 91.78 dB for LOS conditions and in NLOS conditions has a value of 123.26 dB. While at a frequency of 28 GHz the pathloss value generated is 110.71 dB in LOS conditions, while in NLOS conditions the value is 140.42 dB. The 28 GHz working frequency has a slightly higher pathloss value than the 3.5 GHz frequency and has a difference in value of 18.99 dB for LOS conditions while in NLOS conditions it has a difference in value of 17.16 dB.
{"title":"ANALYSIS OF 5G CELLULAR TECHNOLOGY PATHLOSS PREDICTION ON MICRO URBAN CELLS USING ABG PREDICTION MODEL IN PONTIANAK CITY","authors":"Alfodaniel Theodorus Barahama, Fitri Imansyah, Eka Kusumawardhani","doi":"10.26418/telectrical.v1i3.69802","DOIUrl":"https://doi.org/10.26418/telectrical.v1i3.69802","url":null,"abstract":"The implementation of 5G cellular technology in Indonesia needs to be studied in several aspects. So that several cellular operators in Indonesia have experienced difficulties in implementing 5G cellular technology in Indonesia, especially in Pontianak City. Therefore, the analysis of pathloss values in cellular systems is an approach to large-scale fading aspects to calculate service coverage. This research calculates the pathloss value with a case study in Pontianak City with micro urban cell characteristics. In this research, ABG (Alpha-Beta-Gamma) prediction model is used with working frequency of 3.5 GHz and 28 GHz with bandwidth of 100 MHz. The calculation results of the ABG prediction model at a frequency of 3.5 GHz has a value of 91.78 dB for LOS conditions and in NLOS conditions has a value of 123.26 dB. While at a frequency of 28 GHz the pathloss value generated is 110.71 dB in LOS conditions, while in NLOS conditions the value is 140.42 dB. The 28 GHz working frequency has a slightly higher pathloss value than the 3.5 GHz frequency and has a difference in value of 18.99 dB for LOS conditions while in NLOS conditions it has a difference in value of 17.16 dB.","PeriodicalId":517333,"journal":{"name":"Telecommunications, Computers, and Electricals Engineering Journal","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139894902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The development of wireless network technology, particularly WiFi 6 at 5GHz, offers greater reliability and data transfer capacity. Antenna design is a crucial aspect in optimizing WiFi 6 networks in complex wireless environments. The study examined a rectangular patch 2x2 MIMO Antenna for WiFi 6 at 5GHz with a focus on improving network parameters such as return loss, bandwidth, VSWR, and gain. The use of various methods and references from Balanis (2005) and Webster (2021) supports the development of antenna technology, while previous research by Ni Putu Kartika Dewi (2019) strengthens the understanding of microstrip antennas for LTE applications. The main objectives of the study were to design and simulate a rectangular patch 2x2 MIMO Antenna for WiFi 6, as well as analyze simulation data using CST Studio Suite 2019 software. This research uses hardware in the form of Acer Aspire laptops and CST Studio Suite 2019 as simulation software and antenna design. The simulation results show that this antenna is able to work in the frequency range of 4.5-5.2 GHz with a bandwidth of 55.4 MHz and return loss of -20.677981 dB, VSWR 1.2038357, and gain 3.429 dBi with omnidirectional radiation patterns. However, the addition of antenna patches has an impact on decreasing gain. This study provides an in-depth understanding of MIMO antenna design to support WiFi 6 performance in complex wireless environments.
无线网络技术的发展，尤其是 5GHz 的 WiFi 6，提供了更高的可靠性和数据传输能力。在复杂的无线环境中，天线设计是优化 WiFi 6 网络的关键环节。本研究考察了用于 5GHz WiFi 6 的矩形贴片 2x2 MIMO 天线，重点是改善回波损耗、带宽、驻波比和增益等网络参数。Balanis (2005) 和 Webster (2021) 的各种方法和参考文献的使用支持了天线技术的发展，而 Ni Putu Kartika Dewi (2019) 之前的研究则加强了对 LTE 应用微带天线的理解。本研究的主要目标是为 WiFi 6 设计和仿真矩形贴片 2x2 MIMO 天线，并使用 CST Studio Suite 2019 软件分析仿真数据。本研究使用宏碁 Aspire 笔记本电脑形式的硬件和 CST Studio Suite 2019 作为仿真软件和天线设计。仿真结果表明，该天线能够在 4.5-5.2 GHz 的频率范围内工作，带宽为 55.4 MHz，回波损耗为 -20.677981 dB，驻波比为 1.2038357，增益为 3.429 dBi，辐射模式为全向。然而，增加天线贴片会影响增益的降低。这项研究让我们深入了解了 MIMO 天线的设计，从而在复杂的无线环境中支持 WiFi 6 的性能。
{"title":"DESIGN ANTENNA MIMO 2X2 PATCH RECTANGULAR FOR WIFI 6 APPLICATIONON 5GHZ BAND","authors":"Ielfandi Endrian, Eka Kusumawardhani, Jannus Marpaung","doi":"10.26418/telectrical.v1i3.73098","DOIUrl":"https://doi.org/10.26418/telectrical.v1i3.73098","url":null,"abstract":"The development of wireless network technology, particularly WiFi 6 at 5GHz, offers greater reliability and data transfer capacity. Antenna design is a crucial aspect in optimizing WiFi 6 networks in complex wireless environments. The study examined a rectangular patch 2x2 MIMO Antenna for WiFi 6 at 5GHz with a focus on improving network parameters such as return loss, bandwidth, VSWR, and gain. The use of various methods and references from Balanis (2005) and Webster (2021) supports the development of antenna technology, while previous research by Ni Putu Kartika Dewi (2019) strengthens the understanding of microstrip antennas for LTE applications. The main objectives of the study were to design and simulate a rectangular patch 2x2 MIMO Antenna for WiFi 6, as well as analyze simulation data using CST Studio Suite 2019 software. This research uses hardware in the form of Acer Aspire laptops and CST Studio Suite 2019 as simulation software and antenna design. The simulation results show that this antenna is able to work in the frequency range of 4.5-5.2 GHz with a bandwidth of 55.4 MHz and return loss of -20.677981 dB, VSWR 1.2038357, and gain 3.429 dBi with omnidirectional radiation patterns. However, the addition of antenna patches has an impact on decreasing gain. This study provides an in-depth understanding of MIMO antenna design to support WiFi 6 performance in complex wireless environments.","PeriodicalId":517333,"journal":{"name":"Telecommunications, Computers, and Electricals Engineering Journal","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139895167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-10DOI: 10.26418/telectrical.v1i3.71220
Venny Manca Putri, Fitri Imansyah, R. R. Yacoub
A digital antenna is a device used to capture digital signals. Digital television broadcasts are capable of transmitting better reception quality image signals on the television screen than analog broadcasts. Using an antenna without a booster causes less than optimal reception for several stations that are quite far from the receiving antenna. The television antenna booster functions as an amplifier for signal losses received from the antenna via coaxial cable. The signal that enters the antenna through the cable is a very weak RF signal. The booster itself works as an RF signal amplifier and also acts as a frequency selector used by the television receiver (VHF or UHF). This research aims to analyze the comparison of the performance of two antenna boosters, namely the TOYOSAKI Booster and MATRIX Booster, using digital antennas, namely the TOYOSAKI, MATTRIX and TAFFWARE antennas, to find a comparison of which antenna and booster are the best. This research uses the SINPO method, namely a number code to assess signal strength, interference, atmospheric noise, propagation conditions, and general impression of reception. Ratings are made with numbers ranging from 5 (very good) to 1 (very bad). The research results show that the quality of the images produced by the TOYOSAKI and MATRIX antennas is better using the MATRIX Booster than using the TOYOSAKI Booster. Meanwhile, for the TAFFWARE antenna, it is better to use a TOYOSAKI Booster than to use a MATRIX.
{"title":"ANALYSIS OF TELEVISION SIGNAL BOOSTERS USING DIGITAL TELEVISION BOOSTERS AND ANTENNA","authors":"Venny Manca Putri, Fitri Imansyah, R. R. Yacoub","doi":"10.26418/telectrical.v1i3.71220","DOIUrl":"https://doi.org/10.26418/telectrical.v1i3.71220","url":null,"abstract":"A digital antenna is a device used to capture digital signals. Digital television broadcasts are capable of transmitting better reception quality image signals on the television screen than analog broadcasts. Using an antenna without a booster causes less than optimal reception for several stations that are quite far from the receiving antenna. The television antenna booster functions as an amplifier for signal losses received from the antenna via coaxial cable. The signal that enters the antenna through the cable is a very weak RF signal. The booster itself works as an RF signal amplifier and also acts as a frequency selector used by the television receiver (VHF or UHF). This research aims to analyze the comparison of the performance of two antenna boosters, namely the TOYOSAKI Booster and MATRIX Booster, using digital antennas, namely the TOYOSAKI, MATTRIX and TAFFWARE antennas, to find a comparison of which antenna and booster are the best. This research uses the SINPO method, namely a number code to assess signal strength, interference, atmospheric noise, propagation conditions, and general impression of reception. Ratings are made with numbers ranging from 5 (very good) to 1 (very bad). The research results show that the quality of the images produced by the TOYOSAKI and MATRIX antennas is better using the MATRIX Booster than using the TOYOSAKI Booster. Meanwhile, for the TAFFWARE antenna, it is better to use a TOYOSAKI Booster than to use a MATRIX.","PeriodicalId":517333,"journal":{"name":"Telecommunications, Computers, and Electricals Engineering Journal","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139895199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-10DOI: 10.26418/telectrical.v1i3.73628
Madoni Eprahim Manalu, Muhammad Saleh, Hendro Priyatman
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%.
{"title":"DESIGN A MONITORING AND AUTOMATION SYSTEM FOR DRINKING WATER FILLING WITH VOICE COMMANDS USING GOOGLE ASSISTANT","authors":"Madoni Eprahim Manalu, Muhammad Saleh, Hendro Priyatman","doi":"10.26418/telectrical.v1i3.73628","DOIUrl":"https://doi.org/10.26418/telectrical.v1i3.73628","url":null,"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%.","PeriodicalId":517333,"journal":{"name":"Telecommunications, Computers, and Electricals Engineering Journal","volume":"13 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139895178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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