This study focuses on identifying and detecting several types of vehicles, with each vehicle’s po... more This study focuses on identifying and detecting several types of vehicles, with each vehicle’s position depicted by drone technology or an Unmanned Aerial Vehicle (UAV) camera. The vehicle’s position is captured from a height of 350 to 400 meters above the ground. This study aims to identify the class of vehicles that travel on the highway. The experiment employs several convolutional neural network models, including YOLOv4, YOLOv3, YOLOv7, DenseNet201-YOLOv3, and CSResNext50-Panet-SPP, to identify this type of vehicle. Meanwhile, the Darknet algorithm aids the training process by making it easier to identify the type of vehicle depicted in MP4 movies. Several other Convolution Neural Network (CNN) model experiments were conducted in this study, but due to hardware limitations, only these 5 CNN models could produce an optimal accuracy of up to 70%. Following several experiments, the CSResNext50-Panet-SPP model produced the highest accuracy while detecting 100% of video data using UA...
JOIV : International Journal on Informatics Visualization
This study describes the optimization of hand gesture recognition on Raspberry Pi 4 technology ha... more This study describes the optimization of hand gesture recognition on Raspberry Pi 4 technology has advanced over the past years, some computers are now able to compute much more complex problems like real-time object detection. But for small devices, optimization is required to run in real-time with acceptable performance in terms of latency and low-cost effect on accuracy. Low latency is a requirement for most technology, especially when integrating real-time object detection as input into Self-Service Technology on Raspberry Pi for the store. This research was conducted on 288 pictures with six types of chosen hand gestures for command inputs that have been configured in the Self-Service Technology as a training dataset. In the experiment carried out with 5 CNN object detection models were used, namely YOLOv3-Tiny-PRN, YOLOv4-Tiny, MobileNetV2-Yolov3-NANO, YOLO-Fastest-1.1, and YOLO-Fastest-1.1-XL. Based on the experiment after optimization, the FPS and inference time metrics have...
International Journal of Emerging Technology and Advanced Engineering
People have switched professions to become small business entrepreneurs during the COVID-19 pande... more People have switched professions to become small business entrepreneurs during the COVID-19 pandemic. There are so many UMKMs born in 2020 – 2021 with little experience in how to do business. Moreover, there is a shortage of manpower, where young UMKMs are only run by one person due to the continuity with the pandemic, so owners do not have the time or energy to help answer customer’s questions. One way to solve this problem is to use a Chatbot. Usually, a chatbot is used as a tool for humans to communicate by providing digital-based information, such as answering questions about the types of goods sold in a store. Chatbots are used because of their ability to interact with many individuals at once quickly and accurately. So that this research designs and develops a text classification system on chatbots using the Support Vector Machine. The purpose of developing this system is to simplify and speed up the proses of product information exchanges to customers. With an average respons...
A two-fold interpenetrating porous metal-organic framework, namely {[Zn(bpydb)H2O](DMA)12]}n (1, ... more A two-fold interpenetrating porous metal-organic framework, namely {[Zn(bpydb)H2O](DMA)12]}n (1, bpydbH2=4,4´-(4,4´-bipyridine-2,6-diyl) dibenzoic acid, DMA=N,N-Dimethylacetamide) based on a π- electron-rich ligand has been solvothermally prepared and characterized by single-crystal X-ray diffraction analysis. This compound is a 2-fold interinfiltrating configuration that has a great solventaccessible volume. The reseason to search on the antitumor activities of the title compound 1 and its corresponding organic ligand bpydbH2 was to inhibit human osteoma sarcomatosum cells (293T, 3T3, B16 and 769-P) developed by MTT assay. It was concluded that by the comparison with the organic ligand, compound 1 exerted rather potent activities against all of these cell lines.
International Journal of Emerging Technology and Advanced Engineering
Hand gesture recognition research has increased widely and rapidly to overcome various problems i... more Hand gesture recognition research has increased widely and rapidly to overcome various problems in human life. When in a dangerous situation humans are required to act quickly and precisely, such as being a victim of violence, accidents, disasters, and so on. In the asking process for help, it is necessary to use an appropriate safe method, communication tools, and speed in sending messages requesting help so that something unwanted does not happen. One of the ways to overcome this problem is to use sign language such as hand gestures. So that this study designs and develops a real-time hand gesture recognition system as signal for help using Deep Neural Network. The purpose of this research is to simplify, speed up, and produce a safe way that humans can use when asking for help from others without speaking when in danger happen. Base on the experiment that real-time detection and an average accuracy of 98.79%. When the system detects a hand gesture to ask for help, a request for h...
In this paper we introduce the content-based image classification using wavelet transform with Da... more In this paper we introduce the content-based image classification using wavelet transform with Daubechies type 2 level 2 to process the characteristic texture consisting of standard deviation, mean and energy as Input variables, using the method of Fuzzy Neural Network (FNN). All the input value will be processed using fuzzyfication with 5 categories namely Very Low (VL), Low (L), Medium (M), High (H) and Very High (VH). The result will be fuzzy input in the process of classification with neural network method. Batik images will be processed using 7 (seven) types of batik motif which is ceplok, kawung, lereng, parang, megamendung, tambal and nitik. The results of the classification process using FNN is Rule generation, such that for a new image of batik motif types can be immediately determined after FNN classification is completed. For the level of precision, this method is between 90-92%, including if we use the rule generation to determine the level precision is between 90-92%.
This study focuses on identifying and detecting several types of vehicles, with each vehicle’s po... more This study focuses on identifying and detecting several types of vehicles, with each vehicle’s position depicted by drone technology or an Unmanned Aerial Vehicle (UAV) camera. The vehicle’s position is captured from a height of 350 to 400 meters above the ground. This study aims to identify the class of vehicles that travel on the highway. The experiment employs several convolutional neural network models, including YOLOv4, YOLOv3, YOLOv7, DenseNet201-YOLOv3, and CSResNext50-Panet-SPP, to identify this type of vehicle. Meanwhile, the Darknet algorithm aids the training process by making it easier to identify the type of vehicle depicted in MP4 movies. Several other Convolution Neural Network (CNN) model experiments were conducted in this study, but due to hardware limitations, only these 5 CNN models could produce an optimal accuracy of up to 70%. Following several experiments, the CSResNext50-Panet-SPP model produced the highest accuracy while detecting 100% of video data using UA...
JOIV : International Journal on Informatics Visualization
This study describes the optimization of hand gesture recognition on Raspberry Pi 4 technology ha... more This study describes the optimization of hand gesture recognition on Raspberry Pi 4 technology has advanced over the past years, some computers are now able to compute much more complex problems like real-time object detection. But for small devices, optimization is required to run in real-time with acceptable performance in terms of latency and low-cost effect on accuracy. Low latency is a requirement for most technology, especially when integrating real-time object detection as input into Self-Service Technology on Raspberry Pi for the store. This research was conducted on 288 pictures with six types of chosen hand gestures for command inputs that have been configured in the Self-Service Technology as a training dataset. In the experiment carried out with 5 CNN object detection models were used, namely YOLOv3-Tiny-PRN, YOLOv4-Tiny, MobileNetV2-Yolov3-NANO, YOLO-Fastest-1.1, and YOLO-Fastest-1.1-XL. Based on the experiment after optimization, the FPS and inference time metrics have...
International Journal of Emerging Technology and Advanced Engineering
People have switched professions to become small business entrepreneurs during the COVID-19 pande... more People have switched professions to become small business entrepreneurs during the COVID-19 pandemic. There are so many UMKMs born in 2020 – 2021 with little experience in how to do business. Moreover, there is a shortage of manpower, where young UMKMs are only run by one person due to the continuity with the pandemic, so owners do not have the time or energy to help answer customer’s questions. One way to solve this problem is to use a Chatbot. Usually, a chatbot is used as a tool for humans to communicate by providing digital-based information, such as answering questions about the types of goods sold in a store. Chatbots are used because of their ability to interact with many individuals at once quickly and accurately. So that this research designs and develops a text classification system on chatbots using the Support Vector Machine. The purpose of developing this system is to simplify and speed up the proses of product information exchanges to customers. With an average respons...
A two-fold interpenetrating porous metal-organic framework, namely {[Zn(bpydb)H2O](DMA)12]}n (1, ... more A two-fold interpenetrating porous metal-organic framework, namely {[Zn(bpydb)H2O](DMA)12]}n (1, bpydbH2=4,4´-(4,4´-bipyridine-2,6-diyl) dibenzoic acid, DMA=N,N-Dimethylacetamide) based on a π- electron-rich ligand has been solvothermally prepared and characterized by single-crystal X-ray diffraction analysis. This compound is a 2-fold interinfiltrating configuration that has a great solventaccessible volume. The reseason to search on the antitumor activities of the title compound 1 and its corresponding organic ligand bpydbH2 was to inhibit human osteoma sarcomatosum cells (293T, 3T3, B16 and 769-P) developed by MTT assay. It was concluded that by the comparison with the organic ligand, compound 1 exerted rather potent activities against all of these cell lines.
International Journal of Emerging Technology and Advanced Engineering
Hand gesture recognition research has increased widely and rapidly to overcome various problems i... more Hand gesture recognition research has increased widely and rapidly to overcome various problems in human life. When in a dangerous situation humans are required to act quickly and precisely, such as being a victim of violence, accidents, disasters, and so on. In the asking process for help, it is necessary to use an appropriate safe method, communication tools, and speed in sending messages requesting help so that something unwanted does not happen. One of the ways to overcome this problem is to use sign language such as hand gestures. So that this study designs and develops a real-time hand gesture recognition system as signal for help using Deep Neural Network. The purpose of this research is to simplify, speed up, and produce a safe way that humans can use when asking for help from others without speaking when in danger happen. Base on the experiment that real-time detection and an average accuracy of 98.79%. When the system detects a hand gesture to ask for help, a request for h...
In this paper we introduce the content-based image classification using wavelet transform with Da... more In this paper we introduce the content-based image classification using wavelet transform with Daubechies type 2 level 2 to process the characteristic texture consisting of standard deviation, mean and energy as Input variables, using the method of Fuzzy Neural Network (FNN). All the input value will be processed using fuzzyfication with 5 categories namely Very Low (VL), Low (L), Medium (M), High (H) and Very High (VH). The result will be fuzzy input in the process of classification with neural network method. Batik images will be processed using 7 (seven) types of batik motif which is ceplok, kawung, lereng, parang, megamendung, tambal and nitik. The results of the classification process using FNN is Rule generation, such that for a new image of batik motif types can be immediately determined after FNN classification is completed. For the level of precision, this method is between 90-92%, including if we use the rule generation to determine the level precision is between 90-92%.
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