Pub Date : 2022-04-20DOI: 10.26418/elkha.v14i1.53962
Kah Jing Wong, F. Juwono, R. Reine
The goal of 6G communication networks requires higher transmission speeds, tremendous data processing, and low-latency communication. Orthogonal frequency-division multiplexing (OFDM), which is widely utilized in 5G communication systems, may be a viable alternative for 6G. It significantly reduces inter symbol interference (ISI) in the frequency-selective fading environment. Channel estimation is critical in OFDM to optimize system performance. Deep learning has been employed as an appealing alternative for channel estimation and signal detection in OFDM-based communication systems due to its better potential for feature learning and representation. In this study, we examine the deep neural network (DNN) layers created from long-short term memory (LSTM) for detecting the signals by learning the received signal as well as channel information. We investigate the performance of the system under various conditions. The simulation results show that the signal bit error (SER) is equivalent to and better than that of the minimum mean squared error (MMSE) and least square (LS) methods.
{"title":"Deep Learning for Channel Estimation and Signal Detection in OFDM-Based Communication Systems","authors":"Kah Jing Wong, F. Juwono, R. Reine","doi":"10.26418/elkha.v14i1.53962","DOIUrl":"https://doi.org/10.26418/elkha.v14i1.53962","url":null,"abstract":"The goal of 6G communication networks requires higher transmission speeds, tremendous data processing, and low-latency communication. Orthogonal frequency-division multiplexing (OFDM), which is widely utilized in 5G communication systems, may be a viable alternative for 6G. It significantly reduces inter symbol interference (ISI) in the frequency-selective fading environment. Channel estimation is critical in OFDM to optimize system performance. Deep learning has been employed as an appealing alternative for channel estimation and signal detection in OFDM-based communication systems due to its better potential for feature learning and representation. In this study, we examine the deep neural network (DNN) layers created from long-short term memory (LSTM) for detecting the signals by learning the received signal as well as channel information. We investigate the performance of the system under various conditions. The simulation results show that the signal bit error (SER) is equivalent to and better than that of the minimum mean squared error (MMSE) and least square (LS) methods.","PeriodicalId":32754,"journal":{"name":"Elkha Jurnal Teknik Elektro","volume":"110 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85200763","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 : 2022-04-20DOI: 10.26418/elkha.v14i1.53979
Uli Watini, R. Kurnianto, M. Yusuf, Purwoharjono Purwoharjono
The use of 24 and 30 FL for classrooms (9×8 m) and libraries (10×8 m), respectively, at SMP Negeri 25 Pontianak has not satisfied the lumen standard according to SNI 03-6575-2001. Replacing FL with LED requires calculation of budgets and lumen, including optimization of lamp distance configuration. Thus, replacing FL with LED through an adapted lumen of SNI 03-6575-2001 standard will need 15 and 20 lamps for classrooms and library, respectively. Later, the position of the LED placement has been optimized with the help of a genetic algorithm (GA) and drawing the lamp configuration using Dialux. Before optimization, the calculation result of luminaires for the classroom is 262 lux with a distance of x1 = 1.8 m and x2 = 2.67 m. After optimization, it is obtained that Eav = 283.513 lux and the distance between lamps x1 = 1.586 m and x2 = 2.67 m. The luminaire of library room before optimization is 322 lux, with a distance of x1 = 2 m and x2 = 2 m. After optimization the Eav is 384.9569 lux with x1 = 1.9119 m and x2 = 1.9 m. The lumen standard of replacing FL with LED has complied with SNI with cheaper procurement costs, i.e., for FL Rp.45,152,860.80 and for LED Rp.41,778,528.00 (saving Rp. 3,374,332.80).
根据SNI 03-6575-2001, SMP Negeri 25 Pontianak的教室(9×8 m)和图书馆(10×8 m)分别使用24层和30层的流明标准不符合要求。用LED代替FL需要计算预算和流明，包括优化灯距配置。因此，通过调整SNI 03-6575-2001标准的流明，将FL替换为LED，教室和图书馆分别需要15盏和20盏灯。随后，利用遗传算法(GA)优化了LED的放置位置，并使用Dialux绘制了灯的配置。优化前，教室灯具计算结果为262勒克斯，距离x1 = 1.8 m, x2 = 2.67 m。优化后得到Eav = 283.513 lux，灯具间距x1 = 1.586 m, x2 = 2.67 m。优化前的图书馆室灯具为322勒克斯，距离x1 = 2m, x2 = 2m。优化后的Eav为384.9569 lux, x1 = 1.9119 m, x2 = 1.9 m。以LED取代FL的流明标准符合SNI，采购成本更低，即FL Rp.45,152,860.80, LED Rp.41,778,528.00(节省Rp. 3,374,332.80)。
{"title":"Application of Genetic Algorithm for Economical Optimization of School Room Lighting According to SNI 03-6575-2001","authors":"Uli Watini, R. Kurnianto, M. Yusuf, Purwoharjono Purwoharjono","doi":"10.26418/elkha.v14i1.53979","DOIUrl":"https://doi.org/10.26418/elkha.v14i1.53979","url":null,"abstract":"The use of 24 and 30 FL for classrooms (9×8 m) and libraries (10×8 m), respectively, at SMP Negeri 25 Pontianak has not satisfied the lumen standard according to SNI 03-6575-2001. Replacing FL with LED requires calculation of budgets and lumen, including optimization of lamp distance configuration. Thus, replacing FL with LED through an adapted lumen of SNI 03-6575-2001 standard will need 15 and 20 lamps for classrooms and library, respectively. Later, the position of the LED placement has been optimized with the help of a genetic algorithm (GA) and drawing the lamp configuration using Dialux. Before optimization, the calculation result of luminaires for the classroom is 262 lux with a distance of x1 = 1.8 m and x2 = 2.67 m. After optimization, it is obtained that Eav = 283.513 lux and the distance between lamps x1 = 1.586 m and x2 = 2.67 m. The luminaire of library room before optimization is 322 lux, with a distance of x1 = 2 m and x2 = 2 m. After optimization the Eav is 384.9569 lux with x1 = 1.9119 m and x2 = 1.9 m. The lumen standard of replacing FL with LED has complied with SNI with cheaper procurement costs, i.e., for FL Rp.45,152,860.80 and for LED Rp.41,778,528.00 (saving Rp. 3,374,332.80).","PeriodicalId":32754,"journal":{"name":"Elkha Jurnal Teknik Elektro","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75791495","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 : 2021-10-22DOI: 10.26418/elkha.v13i2.49003
H. N. P. Wisudawan
Disaster occurrence in Indonesia needs attention and role from all parties including the community to reduce the risks. Disaster mitigation is one of the ways to reduce the disaster risk through awareness, capacity building, and the development of physical facilities, for example by applying disaster mitigation technology (early warning system, EWS). EWS is one of the effective methods to minimize losses due to disasters by providing warning based on certain parameters for disasters which usually occur such as floods. This research promotes a real-time IoT-based EWS flood warning system (Flood Early Warning System, FEWS) using Arduino and Blynk as well as Global System for Mobile Communication network (GSM) as the communication medium. The steps for implementing FEWS system in real locations are also discussed in this paper. Parameters such as water level, temperature, and humidity as well as rain conditions that are read by the EWS sensor can be accessed in real-time by using android based Blynk application that has been created. The result of the measurement of average temperature, humidity, and water level were 28.6 oC, 63.7 %, and 54.5 cm. Based on this analysis, the parameters indicated that the water level is in normal condition and there are no signs indicating that there will be flooding in the 30 days observation. Based on the data collected by the sensor, FEWS can report four conditions, namely Normal, Waspada Banjir (Advisory), Siaga Banjir (Watch), and Awas Banjir (Warning) that will be sent immediately to the Blynk FEWS application user that has been created.
{"title":"Design and Implementation of Real-Time Flood Early Warning System (FEWS) Based on IoT Blynk Application","authors":"H. N. P. Wisudawan","doi":"10.26418/elkha.v13i2.49003","DOIUrl":"https://doi.org/10.26418/elkha.v13i2.49003","url":null,"abstract":"Disaster occurrence in Indonesia needs attention and role from all parties including the community to reduce the risks. Disaster mitigation is one of the ways to reduce the disaster risk through awareness, capacity building, and the development of physical facilities, for example by applying disaster mitigation technology (early warning system, EWS). EWS is one of the effective methods to minimize losses due to disasters by providing warning based on certain parameters for disasters which usually occur such as floods. This research promotes a real-time IoT-based EWS flood warning system (Flood Early Warning System, FEWS) using Arduino and Blynk as well as Global System for Mobile Communication network (GSM) as the communication medium. The steps for implementing FEWS system in real locations are also discussed in this paper. Parameters such as water level, temperature, and humidity as well as rain conditions that are read by the EWS sensor can be accessed in real-time by using android based Blynk application that has been created. The result of the measurement of average temperature, humidity, and water level were 28.6 oC, 63.7 %, and 54.5 cm. Based on this analysis, the parameters indicated that the water level is in normal condition and there are no signs indicating that there will be flooding in the 30 days observation. Based on the data collected by the sensor, FEWS can report four conditions, namely Normal, Waspada Banjir (Advisory), Siaga Banjir (Watch), and Awas Banjir (Warning) that will be sent immediately to the Blynk FEWS application user that has been created.","PeriodicalId":32754,"journal":{"name":"Elkha Jurnal Teknik Elektro","volume":"27 12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82712017","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 : 2021-10-22DOI: 10.26418/elkha.v13i2.49202
I. Simanjuntak, H. Heryanto, Yossy Rahmawaty, Tulus Manurung
The high level of power outage in Sukabumi-Cianjur area has influenced the operations of telecommunication industry in the vicinity. This has shortened the battery life at the Base Station (BTS). This study aims to analyze the performance of a (new) VRLA battery against a DC load (BTS) to support the continuity of BTS operation in case of a power outage. The research method used is a (new) battery charge-discharge procedure. Parameters are analyzed by determining the on-site battery discharge duration, the pressure at the battery terminals between cells during backup, and the capacity of the rectifier module to support fast charging. To support fast charging, the rectifier with the formula N+1 and C-rate is 10% and C15 is 15% of the battery capacity. The internal impedance value is 3.4 mΩ and the battery terminal pressure (torque) is 9-11 N/m. The battery performance analysis of the four BTS shows that two of them managed to do a backup, while the other two did not provide good performance.
{"title":"Performance Analysis of VRLA Battery for DC Load at Telecommunication Base Station","authors":"I. Simanjuntak, H. Heryanto, Yossy Rahmawaty, Tulus Manurung","doi":"10.26418/elkha.v13i2.49202","DOIUrl":"https://doi.org/10.26418/elkha.v13i2.49202","url":null,"abstract":"The high level of power outage in Sukabumi-Cianjur area has influenced the operations of telecommunication industry in the vicinity. This has shortened the battery life at the Base Station (BTS). This study aims to analyze the performance of a (new) VRLA battery against a DC load (BTS) to support the continuity of BTS operation in case of a power outage. The research method used is a (new) battery charge-discharge procedure. Parameters are analyzed by determining the on-site battery discharge duration, the pressure at the battery terminals between cells during backup, and the capacity of the rectifier module to support fast charging. To support fast charging, the rectifier with the formula N+1 and C-rate is 10% and C15 is 15% of the battery capacity. The internal impedance value is 3.4 mΩ and the battery terminal pressure (torque) is 9-11 N/m. The battery performance analysis of the four BTS shows that two of them managed to do a backup, while the other two did not provide good performance.","PeriodicalId":32754,"journal":{"name":"Elkha Jurnal Teknik Elektro","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80718825","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 : 2021-10-22DOI: 10.26418/elkha.v13i2.48896
N. H. Djanggu
Distribution activities are carried out to move an item from one point to another. Product distribution activities are conducted from the production area to the distribution or warehouse area, then from the warehouse to the retailer or consumer. Distribution activities can be established using various modes of land, river, ocean, and air transportation. Land transportation is greatly influenced by road conditions. River and sea transportation excels in carrying capacity which leads to the reduction of distribution costs. The disadvantages of water transportation are longer moving duration and dependence on weather. A warehouse is a typical facility used to accommodate inventory. Inventory system will generate holding costs. River transportation with a large carrying capacity can be used as a distribution medium and temporary warehouse. The land route in the West Kalimantan region is suitable for trucks with a moderate carrying capacity. River routes in West Kalimantan can reach several strategic areas, and river conditions have appropriate specifications for transportation mode with large capacities. The distribution and inventory system integration model using a mobile depot has been proposed in previous studies. Therefore, this research focuses on developing a simulation model for the aforementioned system. The results of this study are expected to provide information about the optimal value of the model configuration and strategy.
{"title":"Development of Integrated Distribution and Inventory System Simulation Model Using Mobile Depot","authors":"N. H. Djanggu","doi":"10.26418/elkha.v13i2.48896","DOIUrl":"https://doi.org/10.26418/elkha.v13i2.48896","url":null,"abstract":"Distribution activities are carried out to move an item from one point to another. Product distribution activities are conducted from the production area to the distribution or warehouse area, then from the warehouse to the retailer or consumer. Distribution activities can be established using various modes of land, river, ocean, and air transportation. Land transportation is greatly influenced by road conditions. River and sea transportation excels in carrying capacity which leads to the reduction of distribution costs. The disadvantages of water transportation are longer moving duration and dependence on weather. A warehouse is a typical facility used to accommodate inventory. Inventory system will generate holding costs. River transportation with a large carrying capacity can be used as a distribution medium and temporary warehouse. The land route in the West Kalimantan region is suitable for trucks with a moderate carrying capacity. River routes in West Kalimantan can reach several strategic areas, and river conditions have appropriate specifications for transportation mode with large capacities. The distribution and inventory system integration model using a mobile depot has been proposed in previous studies. Therefore, this research focuses on developing a simulation model for the aforementioned system. The results of this study are expected to provide information about the optimal value of the model configuration and strategy.","PeriodicalId":32754,"journal":{"name":"Elkha Jurnal Teknik Elektro","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75710388","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 : 2021-10-22DOI: 10.26418/elkha.v13i2.47343
Kurnia Gunadi As'ad, Rachmad Setiawan, M. Rameli
The firing system on the S-60 57mm cannon uses the foot of the cannon crew, which is very dangerous with the position of the crew on top of the cannon when firing. So, a firing system that can be remotely controlled by a computer is required. The design of the S-60 57mm gun firing control system uses a personal computer (PC) as the firing command input, with data communication using WiFi received by the Atmega8535 microcontroller as a voltage regulator for solenoids. The solenoid has a tensile force to drive the hydraulic system where the actuator functions to drive the firing cylinder. Accelero sensor MMA7361, as a variable controller in firing, provides input data simulating the tilt position of the cannon, the position of the 0g sensor is simulated by the cannon in a balanced position. From the test results, there is a difference in sensor designation data with arc angles i.e., angle X by 2.83 degrees and angle Y by 1.86 degrees. The magnetic field produced by the solenoid 0.53 T can attract a maximum load of 20 kg. By changing the distance ratio of mechanical lever to 39.11 cm and 8.89 cm, the solenoid can drive an 88-kg firing cylinder.
{"title":"Designing a Firing Control System on S-60 57mm Cannon","authors":"Kurnia Gunadi As'ad, Rachmad Setiawan, M. Rameli","doi":"10.26418/elkha.v13i2.47343","DOIUrl":"https://doi.org/10.26418/elkha.v13i2.47343","url":null,"abstract":"The firing system on the S-60 57mm cannon uses the foot of the cannon crew, which is very dangerous with the position of the crew on top of the cannon when firing. So, a firing system that can be remotely controlled by a computer is required. The design of the S-60 57mm gun firing control system uses a personal computer (PC) as the firing command input, with data communication using WiFi received by the Atmega8535 microcontroller as a voltage regulator for solenoids. The solenoid has a tensile force to drive the hydraulic system where the actuator functions to drive the firing cylinder. Accelero sensor MMA7361, as a variable controller in firing, provides input data simulating the tilt position of the cannon, the position of the 0g sensor is simulated by the cannon in a balanced position. From the test results, there is a difference in sensor designation data with arc angles i.e., angle X by 2.83 degrees and angle Y by 1.86 degrees. The magnetic field produced by the solenoid 0.53 T can attract a maximum load of 20 kg. By changing the distance ratio of mechanical lever to 39.11 cm and 8.89 cm, the solenoid can drive an 88-kg firing cylinder.","PeriodicalId":32754,"journal":{"name":"Elkha Jurnal Teknik Elektro","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80121063","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 : 2021-10-22DOI: 10.26418/elkha.v13i2.49097
Fabio M Sim, E. Budiarto, Rusman Rusyadi
Differential equations are ubiquitous in many fields of study, yet not all equations, whether ordinary or partial, can be solved analytically. Traditional numerical methods such as time-stepping schemes have been devised to approximate these solutions. With the advent of modern deep learning, neural networks have become a viable alternative to traditional numerical methods. By reformulating the problem as an optimisation task, neural networks can be trained in a semi-supervised learning fashion to approximate nonlinear solutions. In this paper, neural solvers are implemented in TensorFlow for a variety of differential equations, namely: linear and nonlinear ordinary differential equations of the first and second order; Poisson’s equation, the heat equation, and the inviscid Burgers’ equation. Different methods, such as the naive and ansatz formulations, are contrasted, and their overall performance is analysed. Experimental data is also used to validate the neural solutions on test cases, specifically: the spring-mass system and Gauss’s law for electric fields. The errors of the neural solvers against exact solutions are investigated and found to surpass traditional schemes in certain cases. Although neural solvers will not replace the computational speed offered by traditional schemes in the near future, they remain a feasible, easy-to-implement substitute when all else fails.
{"title":"Comparison and Analysis of Neural Solver Methods for Differential Equations in Physical Systems","authors":"Fabio M Sim, E. Budiarto, Rusman Rusyadi","doi":"10.26418/elkha.v13i2.49097","DOIUrl":"https://doi.org/10.26418/elkha.v13i2.49097","url":null,"abstract":"Differential equations are ubiquitous in many fields of study, yet not all equations, whether ordinary or partial, can be solved analytically. Traditional numerical methods such as time-stepping schemes have been devised to approximate these solutions. With the advent of modern deep learning, neural networks have become a viable alternative to traditional numerical methods. By reformulating the problem as an optimisation task, neural networks can be trained in a semi-supervised learning fashion to approximate nonlinear solutions. In this paper, neural solvers are implemented in TensorFlow for a variety of differential equations, namely: linear and nonlinear ordinary differential equations of the first and second order; Poisson’s equation, the heat equation, and the inviscid Burgers’ equation. Different methods, such as the naive and ansatz formulations, are contrasted, and their overall performance is analysed. Experimental data is also used to validate the neural solutions on test cases, specifically: the spring-mass system and Gauss’s law for electric fields. The errors of the neural solvers against exact solutions are investigated and found to surpass traditional schemes in certain cases. Although neural solvers will not replace the computational speed offered by traditional schemes in the near future, they remain a feasible, easy-to-implement substitute when all else fails.","PeriodicalId":32754,"journal":{"name":"Elkha Jurnal Teknik Elektro","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78902258","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 : 2021-10-22DOI: 10.26418/elkha.v13i2.48029
Elmerillia Elmerillia, L. Lindawati, I. Salamah
State Polytechnic of Sriwijaya is an Indonesian vocational institution that incorporates practical learning into all of its existing study programs. In each laboratory of the study program, students will find the supporting components and resources they need for practicum. Telecommunication engineering is one of them. Currently, the component retrieval and tool borrowing system is still manual, both in the retrieval and return stages, by filling out the given hard-file form sheet. Therefore, a web-based inventory monitoring application is required for laboratory technicians. The creation of this application implements the Prototype Method. The implementation of this method aims to make the application that is created to fit the needs of the user. This system helps laboratory technicians and Telecommunication Engineering students in the process of component retrieval and tool borrowing to be more organized and scheduled and can store reports in the form of soft-files. This information system can also be used by students to monitor the number of components and tools available in real-time. This application are also equipped with forecasting the number of practicum components to kwowing the needs of student practicum in the next year. Forecasting was created using the Weighted Moving Average method. Black box testing is carried out in each menu on the application and gives valid results so that the application can be used.
{"title":"Web-based Application Forecasting of Components and Tools for Practicum in Telecommunication Engineering Laboratory/ Workshop of State Polytechnic of Sriwijaya","authors":"Elmerillia Elmerillia, L. Lindawati, I. Salamah","doi":"10.26418/elkha.v13i2.48029","DOIUrl":"https://doi.org/10.26418/elkha.v13i2.48029","url":null,"abstract":"State Polytechnic of Sriwijaya is an Indonesian vocational institution that incorporates practical learning into all of its existing study programs. In each laboratory of the study program, students will find the supporting components and resources they need for practicum. Telecommunication engineering is one of them. Currently, the component retrieval and tool borrowing system is still manual, both in the retrieval and return stages, by filling out the given hard-file form sheet. Therefore, a web-based inventory monitoring application is required for laboratory technicians. The creation of this application implements the Prototype Method. The implementation of this method aims to make the application that is created to fit the needs of the user. This system helps laboratory technicians and Telecommunication Engineering students in the process of component retrieval and tool borrowing to be more organized and scheduled and can store reports in the form of soft-files. This information system can also be used by students to monitor the number of components and tools available in real-time. This application are also equipped with forecasting the number of practicum components to kwowing the needs of student practicum in the next year. Forecasting was created using the Weighted Moving Average method. Black box testing is carried out in each menu on the application and gives valid results so that the application can be used. ","PeriodicalId":32754,"journal":{"name":"Elkha Jurnal Teknik Elektro","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78087134","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 : 2021-10-22DOI: 10.26418/elkha.v13i2.49181
A. Pradipta, S. Triwijaya, M. Ridwan
Induction motors are widely used in industrial processes, vehicles and automation. Three-phase induction motors can be used for traction systems on electric locomotives. In this case, the speed control system is an important thing that must be applied to the propulsion system. This study aimed to test the indirect torque control for a Three-phase induction motor. A proportional integral (PI) controller was applied for speed controller. The indirect torque control system was modeled and simulated using PSIM software. According to the result, the control method showed a good performance. The speed could be maintained even the speed reference was changing or a load was applied. The steady state error of the speed response was just 0.1% with rise time around 0.06 s. The stator current went up to 39.5 A in starting condition. The stator current reached 12 A rms when the load of 10 Nm was applied. Then, the current rose to 15.7 A rms when the load was increased to 40 Nm and the current came down to 12.8 A rms when the load was decreased to 20 Nm.
感应电动机广泛应用于工业过程、车辆和自动化。三相感应电动机可用于电力机车的牵引系统。在这种情况下，速度控制系统是一个重要的东西，必须应用到推进系统。本研究旨在测试三相感应电动机的间接转矩控制。速度控制器采用比例积分(PI)控制器。利用PSIM软件对间接转矩控制系统进行了建模和仿真。结果表明，该控制方法具有良好的控制效果。即使速度参考发生变化或施加负载，也可以保持速度。速度响应的稳态误差仅为0.1%，上升时间约为0.06 s。启动状态下定子电流高达39.5 A。施加10 Nm负载时，定子电流达到12 A rms。然后，当负载增加到40 Nm时，电流上升到15.7 A rms，当负载减少到20 Nm时，电流下降到12.8 A rms。
{"title":"Performance and Analysis of Indirect Torque Control-Based Three-Phase Induction Motor","authors":"A. Pradipta, S. Triwijaya, M. Ridwan","doi":"10.26418/elkha.v13i2.49181","DOIUrl":"https://doi.org/10.26418/elkha.v13i2.49181","url":null,"abstract":"Induction motors are widely used in industrial processes, vehicles and automation. Three-phase induction motors can be used for traction systems on electric locomotives. In this case, the speed control system is an important thing that must be applied to the propulsion system. This study aimed to test the indirect torque control for a Three-phase induction motor. A proportional integral (PI) controller was applied for speed controller. The indirect torque control system was modeled and simulated using PSIM software. According to the result, the control method showed a good performance. The speed could be maintained even the speed reference was changing or a load was applied. The steady state error of the speed response was just 0.1% with rise time around 0.06 s. The stator current went up to 39.5 A in starting condition. The stator current reached 12 A rms when the load of 10 Nm was applied. Then, the current rose to 15.7 A rms when the load was increased to 40 Nm and the current came down to 12.8 A rms when the load was decreased to 20 Nm.","PeriodicalId":32754,"journal":{"name":"Elkha Jurnal Teknik Elektro","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82469009","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 : 2021-10-22DOI: 10.26418/elkha.v13i2.43741
Adryan Fahri Zul Fauzi, Agus Kiswantono, S. Saidah
In overcoming electrical disturbances, PLN implements an equipment protection system that aims to reduce the areas experiencing power outage. However, this protection system has not been integrated with the SCADA system. As a parameter to maintain customer service continuity, PLN uses customer-based indexes, i.e., the Customer Average Interruption Duration Index (CAIDI) and Customer Average Interruption Frequency Index (CAIFI). In the calculation of those index values, the record of power outage occurrence at PLN is still not accurate because the duration and frequency of power outage based on customer complaints. In this study, a Power Outage Sensing device is installed on the secondary distribution system transformer 380/220 which can ensure the location, record the frequency and duration of power outage and serve customers in real time based on IOT using WEMOS D1 and optocoupler sensors which can then be accessed on a web. In its implementation, all power outage is recorded in the database and can be accessed on the web interface. This device can speed up the recovery of disturbances in the system after an outage and perform accurate CAIDI and CAIFI index calculations as customer service evaluations.
{"title":"Power Outage Sensing Device based on IOT for Service Quality Evaluation in the PLN Distribution System","authors":"Adryan Fahri Zul Fauzi, Agus Kiswantono, S. Saidah","doi":"10.26418/elkha.v13i2.43741","DOIUrl":"https://doi.org/10.26418/elkha.v13i2.43741","url":null,"abstract":"In overcoming electrical disturbances, PLN implements an equipment protection system that aims to reduce the areas experiencing power outage. However, this protection system has not been integrated with the SCADA system. As a parameter to maintain customer service continuity, PLN uses customer-based indexes, i.e., the Customer Average Interruption Duration Index (CAIDI) and Customer Average Interruption Frequency Index (CAIFI). In the calculation of those index values, the record of power outage occurrence at PLN is still not accurate because the duration and frequency of power outage based on customer complaints. In this study, a Power Outage Sensing device is installed on the secondary distribution system transformer 380/220 which can ensure the location, record the frequency and duration of power outage and serve customers in real time based on IOT using WEMOS D1 and optocoupler sensors which can then be accessed on a web. In its implementation, all power outage is recorded in the database and can be accessed on the web interface. This device can speed up the recovery of disturbances in the system after an outage and perform accurate CAIDI and CAIFI index calculations as customer service evaluations.","PeriodicalId":32754,"journal":{"name":"Elkha Jurnal Teknik Elektro","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82012086","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：