Pub Date : 2022-03-29DOI: 10.25077/jnte.v11n1.992.2022
Kevinaldo Barevan, Abdul Halim
Forecasting the electrical energy load is a very important initial stage in the operation of the electricity system so that the system works reliably, stably, and economically. The load forecasting process is carried out in the range of hours to years. This study focuses on short-term load forecasting (STLF) where in general the effects of weather conditions and human activities are very influential. In this study, we will study further the effects of the Covid-19 pandemic, namely the number of vaccines and the level of community mobility on changes in electrical loads. The study of the effect of the vaccine is the new point of this research. In electrical load forecasting, the revised Facebook Prophet method will be used. This revision is intended so that the effects of the pandemic can be included in the model. To test the effectiveness of the proposed model, a case study of the Pennsylvania electrical load data was carried out. In 2021 with the addition of the vaccination variable, the MAPE value is 15.26%. The amount of data used could possibly affect the forecasting process and MAPE results. So, the MAPE value is quite good when compared to other studies.
{"title":"Load Forecasting in the Context of Global Covid-19 Vaccination Using Facebook Prophet","authors":"Kevinaldo Barevan, Abdul Halim","doi":"10.25077/jnte.v11n1.992.2022","DOIUrl":"https://doi.org/10.25077/jnte.v11n1.992.2022","url":null,"abstract":"Forecasting the electrical energy load is a very important initial stage in the operation of the electricity system so that the system works reliably, stably, and economically. The load forecasting process is carried out in the range of hours to years. This study focuses on short-term load forecasting (STLF) where in general the effects of weather conditions and human activities are very influential. In this study, we will study further the effects of the Covid-19 pandemic, namely the number of vaccines and the level of community mobility on changes in electrical loads. The study of the effect of the vaccine is the new point of this research. In electrical load forecasting, the revised Facebook Prophet method will be used. This revision is intended so that the effects of the pandemic can be included in the model. To test the effectiveness of the proposed model, a case study of the Pennsylvania electrical load data was carried out. In 2021 with the addition of the vaccination variable, the MAPE value is 15.26%. The amount of data used could possibly affect the forecasting process and MAPE results. So, the MAPE value is quite good when compared to other studies.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45532125","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 : 2022-03-29DOI: 10.25077/jnte.v11n1.944.2022
Rian Ferdian, Zaki Minango Dasman, Yan Heriyandi, M. H. Hersyah
Food is an essential aspect of the laying hens' cultivation process. The delay of the feeding time and the short amount of food can cause stress to the hens. Furthermore, an excessive amount of food can cause overweight and reduce hens' productivity. This paper provides a method to automate the feeder for laying hens using a device based on microcontroller technology. A tool that can detect chicken behavior when hungry and the temperature of the cage can provide an excellent feeding management system for the breeder. The automatic feeder can see chicken behavior, also the environmental condition around the cage. A specific noise amplitude caused by the hungry hens can trigger the feeder. This feeder also design aims to provide the food in the right amount at the right time. Thus, the breeder can minimize the stress of laying hens, reduce food waste, and keep the hens ideal. Here the system can save the chickens food around 13.76% more efficient.
{"title":"Automatic Feeder for Laying Hens Based on Noise Amplitude","authors":"Rian Ferdian, Zaki Minango Dasman, Yan Heriyandi, M. H. Hersyah","doi":"10.25077/jnte.v11n1.944.2022","DOIUrl":"https://doi.org/10.25077/jnte.v11n1.944.2022","url":null,"abstract":"Food is an essential aspect of the laying hens' cultivation process. The delay of the feeding time and the short amount of food can cause stress to the hens. Furthermore, an excessive amount of food can cause overweight and reduce hens' productivity. This paper provides a method to automate the feeder for laying hens using a device based on microcontroller technology. A tool that can detect chicken behavior when hungry and the temperature of the cage can provide an excellent feeding management system for the breeder. The automatic feeder can see chicken behavior, also the environmental condition around the cage. A specific noise amplitude caused by the hungry hens can trigger the feeder. This feeder also design aims to provide the food in the right amount at the right time. Thus, the breeder can minimize the stress of laying hens, reduce food waste, and keep the hens ideal. Here the system can save the chickens food around 13.76% more efficient.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47790746","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 : 2022-03-29DOI: 10.25077/jnte.v11n1.887.2022
T. Sutikno, Syahid Hikmatul Wahid, Rizky Ajie Aprilianto, Arsyad Cahya Subrata, A. Jidin
PLTH Bayu Baru is one of the hybrid power plants (HPP) located in Baru beach, Pandansimo, Bantul, Yogyakarta, Indonesia. It generates electrical energy from two sources, wind and solar energy. However, a problem is encountered regarding wind turbine mechanics due to using a manual switch for braking during periods of excessive wind speed. This study proposes an automatic wind turbine braking system through a utilized fuzzy logic controller (FLC) for the PLTH Bayu Baru application. The Mamdani type FLC without complex mathematical models is applied to the Arduino Uno development board to realize the proposed systems. The error (Error_V) and delta error (dError_V) values from the generator voltage sensor become the input of the proposed systems, while the pulse width modulation (PWM) becomes the output for controlling the on/off period of the MOSFET as switching devices. The proposed systems have been tested on a micro-scale wind turbine with PMSG 12V/400W type. From the testing results, the proposed system successfully braked automatically at the point wherein the generator voltage exceeds the setpoint value. Also, the proposed system keeps the generator voltage less than 13.8V, so the problem caused by excessive speed can be resolved.
{"title":"An Automatic Wind Turbine Braking System on PLTH Bayu Baru through a Fuzzy Logic Controller","authors":"T. Sutikno, Syahid Hikmatul Wahid, Rizky Ajie Aprilianto, Arsyad Cahya Subrata, A. Jidin","doi":"10.25077/jnte.v11n1.887.2022","DOIUrl":"https://doi.org/10.25077/jnte.v11n1.887.2022","url":null,"abstract":"PLTH Bayu Baru is one of the hybrid power plants (HPP) located in Baru beach, Pandansimo, Bantul, Yogyakarta, Indonesia. It generates electrical energy from two sources, wind and solar energy. However, a problem is encountered regarding wind turbine mechanics due to using a manual switch for braking during periods of excessive wind speed. This study proposes an automatic wind turbine braking system through a utilized fuzzy logic controller (FLC) for the PLTH Bayu Baru application. The Mamdani type FLC without complex mathematical models is applied to the Arduino Uno development board to realize the proposed systems. The error (Error_V) and delta error (dError_V) values from the generator voltage sensor become the input of the proposed systems, while the pulse width modulation (PWM) becomes the output for controlling the on/off period of the MOSFET as switching devices. The proposed systems have been tested on a micro-scale wind turbine with PMSG 12V/400W type. From the testing results, the proposed system successfully braked automatically at the point wherein the generator voltage exceeds the setpoint value. Also, the proposed system keeps the generator voltage less than 13.8V, so the problem caused by excessive speed can be resolved.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41470439","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 : 2021-11-30DOI: 10.25077/jnte.v10n3.943.2021
M. Afandi, I. Hikmah, Chandra Agustinah
Improving efficiency and quality in farming activities is important reason of developing technology to support agriculture. Technology in agriculture such as image processing, Internet of Things (IoT), Artificial Intelligence, Big Data, and Artificial Lighting gives increasing trends. Artificial lighting technology has high impact to support agriculture in an area that has low sun light intensity such as in rainy season. Farmer has a difficulty to cultivating plant especially in early stage in rainy season. This problem happen because of the intensity of sun light is very minimum. Artificial lighting is a technology to solve early stage cultivating problem in rainy season. This technology can support agriculture for cultivating plant with minimum sun light. Artificial lighting contains light emitting diode (LED) that is laid out as an array. This research goal is to make an artificial lighting prototype to support early stage cultivating. Pakcoy is a plant that used to observe artificial lighting impact for early stage Pakcoy cultivation. This research shows Pakcoy plant placed in the prototype gives significant growth compared with a plant which placed in low light room. Pakcoy plant in artificial lighting gives 2 4 leaves, the height is 1.5 5cm, and from 18 seeds 10 is grow. This research can conclude that artificial lighting prototype can support early stage Pakcoy cultivation.
{"title":"Microcontroller-based Artificial Lighting to Help Growth the Seedling Pakcoy","authors":"M. Afandi, I. Hikmah, Chandra Agustinah","doi":"10.25077/jnte.v10n3.943.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n3.943.2021","url":null,"abstract":"Improving efficiency and quality in farming activities is important reason of developing technology to support agriculture. Technology in agriculture such as image processing, Internet of Things (IoT), Artificial Intelligence, Big Data, and Artificial Lighting gives increasing trends. Artificial lighting technology has high impact to support agriculture in an area that has low sun light intensity such as in rainy season. Farmer has a difficulty to cultivating plant especially in early stage in rainy season. This problem happen because of the intensity of sun light is very minimum. Artificial lighting is a technology to solve early stage cultivating problem in rainy season. This technology can support agriculture for cultivating plant with minimum sun light. Artificial lighting contains light emitting diode (LED) that is laid out as an array. This research goal is to make an artificial lighting prototype to support early stage cultivating. Pakcoy is a plant that used to observe artificial lighting impact for early stage Pakcoy cultivation. This research shows Pakcoy plant placed in the prototype gives significant growth compared with a plant which placed in low light room. Pakcoy plant in artificial lighting gives 2 4 leaves, the height is 1.5 5cm, and from 18 seeds 10 is grow. This research can conclude that artificial lighting prototype can support early stage Pakcoy cultivation.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48250799","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 : 2021-11-30DOI: 10.25077/jnte.v10n3.829.2021
S. I. Purnama, M. Afandi
Heart rate abnormalities can lead to many cardiovascular diseases such as heart arrythmia, heart failure, heart valve disease and many more. Some cardiovascular disease can cause death. Abnormalities signal feature can be seen using electrocardiogram. Electrocardiogram is an electric signal record from heart activity. Normal heart and abnormal heart have a different electrocardiogram signal pattern. This research is aim to detect abnormality from heart rate using electrocardiogram abnormality signal feature. Abnormality signal pattern can be used to classify normal and abnormal heart rate. Abnormality feature consists of P signal condition, R signal condition, P R interval rate, and double R interval. Electrocardiogram data that used in this study is obtain from MIT-BIH Arrythmia database. 20 electrocardiogram data have been used to see detection and classification performance while classifying normal and abnormal heart rate. Research result shows that feature based has 90.00% in accuracy, 90.00%in precision, and 90.00% in sensitivity while classify normal and abnormal heart rate. Research result can conclude that abnormality feature can be used to classify normal and abnormal heart rate. This method can be used for embedded system device that has limitation in memory and size.
{"title":"Electrocardiogram Abnormal Classification Based on Abnormality Signal Feature","authors":"S. I. Purnama, M. Afandi","doi":"10.25077/jnte.v10n3.829.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n3.829.2021","url":null,"abstract":"Heart rate abnormalities can lead to many cardiovascular diseases such as heart arrythmia, heart failure, heart valve disease and many more. Some cardiovascular disease can cause death. Abnormalities signal feature can be seen using electrocardiogram. Electrocardiogram is an electric signal record from heart activity. Normal heart and abnormal heart have a different electrocardiogram signal pattern. This research is aim to detect abnormality from heart rate using electrocardiogram abnormality signal feature. Abnormality signal pattern can be used to classify normal and abnormal heart rate. Abnormality feature consists of P signal condition, R signal condition, P R interval rate, and double R interval. Electrocardiogram data that used in this study is obtain from MIT-BIH Arrythmia database. 20 electrocardiogram data have been used to see detection and classification performance while classifying normal and abnormal heart rate. Research result shows that feature based has 90.00% in accuracy, 90.00%in precision, and 90.00% in sensitivity while classify normal and abnormal heart rate. Research result can conclude that abnormality feature can be used to classify normal and abnormal heart rate. This method can be used for embedded system device that has limitation in memory and size.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41367860","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 : 2021-11-30DOI: 10.25077/jnte.v10n3.927.2021
S. Yunus, Hairul Abrar, Auliya Akbar
The manufacture of composites that have good electrical properties is to use a conductive polymer matrix. A conductive polymer is a polymer compound that has a stable bond that allows the polymer to act as a good conductor of electricity. This study aims to determine the highest conductivity value of composite materials that have been coated with polypyrrole, namely bacterial cellulose with polypyrrole (bio composite 1), tempo bacteria cellulose with polypyrrole (bio composite 2), and Gambier bacteria cellulose with polypyrrole (bio composite 3). In this study, there were four samples consisting of nata de coco (cellulosic bacteria), 2, 2, 6, 6-tetramethylpiperidine 1-oxyl (TEMPO), Gambier extract, and polypyrrole. Measurement of resistance value using the two point probe method. The results of this study obtained that the resistance and conductivity values of bio composite 1, bio composite 2, and bio composite 3 were 29.742 k? and 1.17810-3 S/cm, 20.338 k? and 1.69210-3 S/cm, 34,572 k? and 0.980710-3 S/cm. The measurement results show that the highest conductivity value is bio composite 2.
具有良好电性能的复合材料的制造是使用导电聚合物基体。导电聚合物是一种具有稳定键的聚合物化合物，该键允许聚合物充当良好的导电体。本研究旨在确定涂有聚吡咯的复合材料的最高电导率值，即细菌纤维素与聚吡咯（生物复合材料1）、tempo细菌纤维素与聚吡咯（生物合成材料2）和Gambier细菌纤维素与聚合吡咯（生物复合材料3）。在本研究中，共有四个样品，包括nata de coco（纤维素细菌）、2、2、6、6-四甲基哌啶-1-氧基（TEMPO）、甘比尔提取物和聚吡咯。使用两点探针法测量电阻值。本研究的结果表明，生物复合材料1、生物复合材料2和生物复合材料3的电阻和电导率分别为29.742k？和1.17810-3 S/cm，20.338 k？和1.69210-3 S/cm，34572 k？和0.980710-3 S/cm。测量结果表明，生物复合材料2的电导率值最高。
{"title":"Calculate The Conductivity of Some Composites of Cellulose Bacteria Mixed with Polypyrol","authors":"S. Yunus, Hairul Abrar, Auliya Akbar","doi":"10.25077/jnte.v10n3.927.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n3.927.2021","url":null,"abstract":"The manufacture of composites that have good electrical properties is to use a conductive polymer matrix. A conductive polymer is a polymer compound that has a stable bond that allows the polymer to act as a good conductor of electricity. This study aims to determine the highest conductivity value of composite materials that have been coated with polypyrrole, namely bacterial cellulose with polypyrrole (bio composite 1), tempo bacteria cellulose with polypyrrole (bio composite 2), and Gambier bacteria cellulose with polypyrrole (bio composite 3). In this study, there were four samples consisting of nata de coco (cellulosic bacteria), 2, 2, 6, 6-tetramethylpiperidine 1-oxyl (TEMPO), Gambier extract, and polypyrrole. Measurement of resistance value using the two point probe method. The results of this study obtained that the resistance and conductivity values of bio composite 1, bio composite 2, and bio composite 3 were 29.742 k? and 1.17810-3 S/cm, 20.338 k? and 1.69210-3 S/cm, 34,572 k? and 0.980710-3 S/cm. The measurement results show that the highest conductivity value is bio composite 2.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41914779","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 : 2021-11-30DOI: 10.25077/jnte.v10n3.898.2021
D. K. Larasati, Iwan Setyawan
Road marking is a sign located above the road surface that combines either a line or a symbol and provides information as visual guidance to road users. One example of road marking is the stop line behind the zebra crossing. Many violations of pedestrian rights are committed by motorized vehicles, especially because vehicles do not stop behind the stop line. This paper proposes a system to detect this type of traffic violation using the template matching method. This method is a technique in digital image processing to find small parts of the image that match the image template, so it can detect whether there is a traffic violation or not. This system uses the appropriate template images for each dataset (morning, afternoon, and evening). The system produces accuracy performances for the morning and afternoon dataset of about 100% and 78% respectively, and for the evening dataset is 70%. So, the overall average accuracy rate is 83%. The main factor affecting the overall accuracy performance is the inability to automatically extract the best template for the dataset from the morning and evening datasets.
{"title":"Implementation of Template Matching on Detection of Stop Line Violations","authors":"D. K. Larasati, Iwan Setyawan","doi":"10.25077/jnte.v10n3.898.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n3.898.2021","url":null,"abstract":"Road marking is a sign located above the road surface that combines either a line or a symbol and provides information as visual guidance to road users. One example of road marking is the stop line behind the zebra crossing. Many violations of pedestrian rights are committed by motorized vehicles, especially because vehicles do not stop behind the stop line. This paper proposes a system to detect this type of traffic violation using the template matching method. This method is a technique in digital image processing to find small parts of the image that match the image template, so it can detect whether there is a traffic violation or not. This system uses the appropriate template images for each dataset (morning, afternoon, and evening). The system produces accuracy performances for the morning and afternoon dataset of about 100% and 78% respectively, and for the evening dataset is 70%. So, the overall average accuracy rate is 83%. The main factor affecting the overall accuracy performance is the inability to automatically extract the best template for the dataset from the morning and evening datasets.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47356690","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 : 2021-11-30DOI: 10.25077/jnte.v10n3.940.2021
Florentina Vela Nindyasari, Awang N. I. Wardana, Agus Arif
{"title":"Online Tuning Diagnosis of Proportional Integral Derivative Controller based on IEC 61499 Function Blocks","authors":"Florentina Vela Nindyasari, Awang N. I. Wardana, Agus Arif","doi":"10.25077/jnte.v10n3.940.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n3.940.2021","url":null,"abstract":"","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47801630","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 : 2021-11-30DOI: 10.25077/jnte.v10n3.834.2021
A. P. Prasetyo, Rendyansyah Rendyansyah, Kemahyanto Exaudi, Abdurahman Abdurahman, T. W. Septian
Solid waste or garbage is one of the problems that must be faced by the world's population so that life becomes more harmonious. Through a series of studies, a Garbage Collector Robot (GACOBOT) was created which is expected to help humans overcome this problem in terms of garbage collection. By adding a feature in the form of object recognition, the waste can be sorted by type so that it can be grouped and processed further. In this research, using the Support Vector Machine (SVM) classification method based on the feature extraction of the Histogram of Oriented Gradients (HOG) as the main method. Researchers used 14 pieces of data as training data and 10 pieces of data as test data. From the results of the tests that have been carried out, it has been obtained a success rate of 100% that the system has succeeded in separating waste into 2 types, namely plastic bag waste and glass bottle waste.
{"title":"Features of Household Solid Waste Object Recognition on Garbage Collector Robot (GACOBOT)","authors":"A. P. Prasetyo, Rendyansyah Rendyansyah, Kemahyanto Exaudi, Abdurahman Abdurahman, T. W. Septian","doi":"10.25077/jnte.v10n3.834.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n3.834.2021","url":null,"abstract":"Solid waste or garbage is one of the problems that must be faced by the world's population so that life becomes more harmonious. Through a series of studies, a Garbage Collector Robot (GACOBOT) was created which is expected to help humans overcome this problem in terms of garbage collection. By adding a feature in the form of object recognition, the waste can be sorted by type so that it can be grouped and processed further. In this research, using the Support Vector Machine (SVM) classification method based on the feature extraction of the Histogram of Oriented Gradients (HOG) as the main method. Researchers used 14 pieces of data as training data and 10 pieces of data as test data. From the results of the tests that have been carried out, it has been obtained a success rate of 100% that the system has succeeded in separating waste into 2 types, namely plastic bag waste and glass bottle waste.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41990783","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 : 2021-11-30DOI: 10.25077/jnte.v10n3.885.2021
E. Normanyo, Francis Husinu, Kumi Manel Fiona
Most car parking lots in the country have not been fully automated and many of them serve temporal, manual parking needs. A fully automated car parking lot assures of flexibility, improved efficiency and minimisation of manual tasks. In this paper, use was made of Siemens Step 7 PLC and WinCC Flexible Advanced software to design a fully automated car parking lot. The number of parking spaces available, the parking space number and position, arrival and departure times of cars and the time spent at the parking space are provided by the design. Simulations of designed system using Simatic PLC SIM confirmed the fulfillment of the design criteria and reliability of the developed flowcharts. Remote operator monitoring and control of the car parking lot has been actualised. Simulation results on the parking of six cars for a time duration of 0.5 hr, 1 hr, 1.5 hrs, 2 hrs, 2.5 hrs and 3 hrs, respectively yielded a total amount of GH 17.00. It stands to reason that hitherto existing manual car parking lots should be converted into the fully automated type using a PLC and an HMI workstation in order to bring orderliness and deserving responsibility to car parking in Ghana.
{"title":"A Fully Automated Car Parking Lot","authors":"E. Normanyo, Francis Husinu, Kumi Manel Fiona","doi":"10.25077/jnte.v10n3.885.2021","DOIUrl":"https://doi.org/10.25077/jnte.v10n3.885.2021","url":null,"abstract":"Most car parking lots in the country have not been fully automated and many of them serve temporal, manual parking needs. A fully automated car parking lot assures of flexibility, improved efficiency and minimisation of manual tasks. In this paper, use was made of Siemens Step 7 PLC and WinCC Flexible Advanced software to design a fully automated car parking lot. The number of parking spaces available, the parking space number and position, arrival and departure times of cars and the time spent at the parking space are provided by the design. Simulations of designed system using Simatic PLC SIM confirmed the fulfillment of the design criteria and reliability of the developed flowcharts. Remote operator monitoring and control of the car parking lot has been actualised. Simulation results on the parking of six cars for a time duration of 0.5 hr, 1 hr, 1.5 hrs, 2 hrs, 2.5 hrs and 3 hrs, respectively yielded a total amount of GH 17.00. It stands to reason that hitherto existing manual car parking lots should be converted into the fully automated type using a PLC and an HMI workstation in order to bring orderliness and deserving responsibility to car parking in Ghana.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43018839","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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