Pub Date : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570610936
Rahmat Albariqi, E. Winarko
In recent years, Bitcoin is rising and become an attractive investment for traders. Unlike stocks or foreign exchange, Bitcoin price is fluctuated, mainly because of its 24-hours a day trading time without close time. To minimize the risk involved and maximize capital gain, traders and investors need a way to predict the Bitcoin price trend accurately. However, many previous works on cryptocurrency price prediction forecast short-term Bitcoin price, have low accuracy and have not been cross-validatedThis paper describes the baseline neural network models to predict the short-term and the long-term Bitcoin price change. Our baseline models are the Multilayer Perceptron (MLP) and the Recurrent Neural Networks (RNN) models. Data used are Bitcoin's blockchain from August 2010 until October 2017 with 2-days period and the total amount of 1300 data. The models generated are predicting both for short-term and long-term price change, from 2-days until 60-days.The result shows that long-term prediction has a better result than short-term prediction, with the best accuracy in Multilayer Perceptron when predicting the next 60-days price change and Recurrent Neural Networks when predicting the next 56-days price change. Multilayer Perceptron outperforms Recurrent Neural Networks with accuracy of 81.3 percent, precision 81 percent, and recall 94.7 percent.
{"title":"Prediction of Bitcoin Price Change using Neural Networks","authors":"Rahmat Albariqi, E. Winarko","doi":"10.1109/ICoSTA48221.2020.1570610936","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570610936","url":null,"abstract":"In recent years, Bitcoin is rising and become an attractive investment for traders. Unlike stocks or foreign exchange, Bitcoin price is fluctuated, mainly because of its 24-hours a day trading time without close time. To minimize the risk involved and maximize capital gain, traders and investors need a way to predict the Bitcoin price trend accurately. However, many previous works on cryptocurrency price prediction forecast short-term Bitcoin price, have low accuracy and have not been cross-validatedThis paper describes the baseline neural network models to predict the short-term and the long-term Bitcoin price change. Our baseline models are the Multilayer Perceptron (MLP) and the Recurrent Neural Networks (RNN) models. Data used are Bitcoin's blockchain from August 2010 until October 2017 with 2-days period and the total amount of 1300 data. The models generated are predicting both for short-term and long-term price change, from 2-days until 60-days.The result shows that long-term prediction has a better result than short-term prediction, with the best accuracy in Multilayer Perceptron when predicting the next 60-days price change and Recurrent Neural Networks when predicting the next 56-days price change. Multilayer Perceptron outperforms Recurrent Neural Networks with accuracy of 81.3 percent, precision 81 percent, and recall 94.7 percent.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131011672","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570615982
Saidah, Muhamad Masrufun
The increasing demand for electricity at this time raises several problems to the power quality in the distribution network system. This is an opportunity to develop the power distribution network system. Distributed generation (DG) or small power plant spread over the distribution network level is one solution that could increase the power quality of the distribution system. Installation of distributed generation (DG) could increase the value of voltage, reduce power losses in the line, improve the reliability system, power quality, preventing drop voltages on the distribution network, maintain voltage level according to established standards and also as back up generation and voltage support especially at the summit load in the distribution network. So in accordance with the things described above it is designed a simulator determining the location and size of the optimally distributed generation (DG) by using Particle Swarm Optimization. In this simulator using the Graphical User Interface (GUI) system, so that in determining location, there’s an easy view to understanding and it’s expected to be used as non-technical considerations on the installation of distributed generation (DG).
{"title":"Optimization of DG Placement and Size Using PSO Based on GUI","authors":"Saidah, Muhamad Masrufun","doi":"10.1109/ICoSTA48221.2020.1570615982","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570615982","url":null,"abstract":"The increasing demand for electricity at this time raises several problems to the power quality in the distribution network system. This is an opportunity to develop the power distribution network system. Distributed generation (DG) or small power plant spread over the distribution network level is one solution that could increase the power quality of the distribution system. Installation of distributed generation (DG) could increase the value of voltage, reduce power losses in the line, improve the reliability system, power quality, preventing drop voltages on the distribution network, maintain voltage level according to established standards and also as back up generation and voltage support especially at the summit load in the distribution network. So in accordance with the things described above it is designed a simulator determining the location and size of the optimally distributed generation (DG) by using Particle Swarm Optimization. In this simulator using the Graphical User Interface (GUI) system, so that in determining location, there’s an easy view to understanding and it’s expected to be used as non-technical considerations on the installation of distributed generation (DG).","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115305263","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}
Vibration analysis is very important in predictive maintenance in the industry today. In this paper, has designed a vibration detection system that can identify the condition of the induction motor by online. Induction motor vibration data is read from two vibration sensors, accelerometer1 and accelerometer2, displayed using ATMEGA16 microcontroller and can directly identify the condition of the induction motor by using artificial intelligence-based analysis that is Backpropagation-Neural Network (B-NN). After testing, the system managed to perform fault identification induction motor with the rank of success of 95 percent.
{"title":"Faults Identification of Induction Motor Based On Vibration Using Backpropagation Neural Network","authors":"Kuspijani Kuspijani, Richa Watiasih, Prihastono Prihastono","doi":"10.1109/ICoSTA48221.2020.1570615779","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570615779","url":null,"abstract":"Vibration analysis is very important in predictive maintenance in the industry today. In this paper, has designed a vibration detection system that can identify the condition of the induction motor by online. Induction motor vibration data is read from two vibration sensors, accelerometer1 and accelerometer2, displayed using ATMEGA16 microcontroller and can directly identify the condition of the induction motor by using artificial intelligence-based analysis that is Backpropagation-Neural Network (B-NN). After testing, the system managed to perform fault identification induction motor with the rank of success of 95 percent.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127674981","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570611115
I. Aryanto, Roy Rudolf Huizen, K. Aryanto
Agriculture has been a relevant field that attracted attention in recent years caused by the growing population, which has raised the problem of food sufficiency. Therefore, one of the solutions that this study offered is to improve production results through innovations by performing an automatic plantation’s watering process that can be monitored remotely. The purpose of this study is to help farmers to be able to control the condition of the soil moisture, together with the automatic watering process. The hardware used in this research is the NodeMCU Board with Wi-Fi ESP-32, Relay, and Moisture Sensors. This research applied the concept of the Internet of Things (IoT), where each sensor module was assembled to be an object that has been programmed to carry out its tasks. A fuzzy-based module was developed to regulate the pump control, measure soil moisture, and control the water pump machine. Furthermore, each object was given its own identity to facilitate the communication process of every object. This process was connecting each object through the internet network by applying a lightweight communication protocol, the MQTT protocol. The data from sensors that represented the condition of each object were displayed on a graph in real-time. There were also tables of data that can be printed into a document file. This research was able to assist farmers in the process of watering their plants. Therefore, the harvesting process had increased, with only a little maintenance cost.
{"title":"Design of Soil Humidity Monitoring System Using the Internet of Things Concept and MQTT","authors":"I. Aryanto, Roy Rudolf Huizen, K. Aryanto","doi":"10.1109/ICoSTA48221.2020.1570611115","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570611115","url":null,"abstract":"Agriculture has been a relevant field that attracted attention in recent years caused by the growing population, which has raised the problem of food sufficiency. Therefore, one of the solutions that this study offered is to improve production results through innovations by performing an automatic plantation’s watering process that can be monitored remotely. The purpose of this study is to help farmers to be able to control the condition of the soil moisture, together with the automatic watering process. The hardware used in this research is the NodeMCU Board with Wi-Fi ESP-32, Relay, and Moisture Sensors. This research applied the concept of the Internet of Things (IoT), where each sensor module was assembled to be an object that has been programmed to carry out its tasks. A fuzzy-based module was developed to regulate the pump control, measure soil moisture, and control the water pump machine. Furthermore, each object was given its own identity to facilitate the communication process of every object. This process was connecting each object through the internet network by applying a lightweight communication protocol, the MQTT protocol. The data from sensors that represented the condition of each object were displayed on a graph in real-time. There were also tables of data that can be printed into a document file. This research was able to assist farmers in the process of watering their plants. Therefore, the harvesting process had increased, with only a little maintenance cost.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132808498","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570613925
Haris Isyanto, A. S. Arifin, M. Suryanegara
The development of the Internet of Things (IoT) technology has a positive impact on human life. A smart home is one of the IoT technology applications that facilitate human activities. The problem of physical abnormalities is a matter of limited activities for disabled people. This paper proposes a design of IoT-based smart home application with a remote control device that developed using voice commands for disabled people. Smart home control systems help disabled people to control their home electrical devices such as television (TV), lights, and fans using only voice commands without moving to turn on or turn off electrical equipment. The voice recognition on electrical equipment is using the Google Assistant's application on smartphones. The Google Assistant application will accept voice commands when the pronunciation is correct. Voice commands on IoT-based Smart Home are more simple to apply, without typing text messages. Users get convenience compared to using text. The signal strength of an Internet connection will create a useful performance device at the Response Time of Google Assistant, Response Time of System Processing, activating and deactivating Electrical Equipment. We expect that this device could be more useful to help disabled people interact with their environment by utilizing IoT technology facilities.
{"title":"Design and Implementation of IoT-Based Smart Home Voice Commands for disabled people using Google Assistant","authors":"Haris Isyanto, A. S. Arifin, M. Suryanegara","doi":"10.1109/ICoSTA48221.2020.1570613925","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570613925","url":null,"abstract":"The development of the Internet of Things (IoT) technology has a positive impact on human life. A smart home is one of the IoT technology applications that facilitate human activities. The problem of physical abnormalities is a matter of limited activities for disabled people. This paper proposes a design of IoT-based smart home application with a remote control device that developed using voice commands for disabled people. Smart home control systems help disabled people to control their home electrical devices such as television (TV), lights, and fans using only voice commands without moving to turn on or turn off electrical equipment. The voice recognition on electrical equipment is using the Google Assistant's application on smartphones. The Google Assistant application will accept voice commands when the pronunciation is correct. Voice commands on IoT-based Smart Home are more simple to apply, without typing text messages. Users get convenience compared to using text. The signal strength of an Internet connection will create a useful performance device at the Response Time of Google Assistant, Response Time of System Processing, activating and deactivating Electrical Equipment. We expect that this device could be more useful to help disabled people interact with their environment by utilizing IoT technology facilities.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115653800","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570614662
Yunifa Miftachul Arif, Hani Nurhayati, S. Harini, Supeno Mardi Susiki Nugroho, M. Hariadi
A rating assessment of supporting elements in tourism destinations used to provide information for tourists before making a tour. Along with the development of communication technology, each traveler shares data about the ranking of travel destinations through their mobile devices. The commonly used data sharing architecture is the centralized model. However, this architecture still has some weaknesses, so it needs to be improved, for example, through decentralized architecture as developed in this research in a Tourism Destination Rating System (TDRS). This system is a combination of 6AsTD as a framework for assessing the success level of tourism destinations and blockchain as the data-sharing architecture between tourists. The 6AsTD frameworks use six variables as a reference for assessing tourism destinations. The rating results distributed to each traveler's mobile device connected to the blockchain network. Furthermore, the system built-in this study was tested on several tourists in Batu Tourism City. The TDRS can generate assessments that can be quickly submitted to other users using applications connected to the Blockchain network.
{"title":"Decentralized Tourism Destinations Rating System Using 6AsTD Framework and Blockchain","authors":"Yunifa Miftachul Arif, Hani Nurhayati, S. Harini, Supeno Mardi Susiki Nugroho, M. Hariadi","doi":"10.1109/ICoSTA48221.2020.1570614662","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570614662","url":null,"abstract":"A rating assessment of supporting elements in tourism destinations used to provide information for tourists before making a tour. Along with the development of communication technology, each traveler shares data about the ranking of travel destinations through their mobile devices. The commonly used data sharing architecture is the centralized model. However, this architecture still has some weaknesses, so it needs to be improved, for example, through decentralized architecture as developed in this research in a Tourism Destination Rating System (TDRS). This system is a combination of 6AsTD as a framework for assessing the success level of tourism destinations and blockchain as the data-sharing architecture between tourists. The 6AsTD frameworks use six variables as a reference for assessing tourism destinations. The rating results distributed to each traveler's mobile device connected to the blockchain network. Furthermore, the system built-in this study was tested on several tourists in Batu Tourism City. The TDRS can generate assessments that can be quickly submitted to other users using applications connected to the Blockchain network.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114140142","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570610561
Agung Wicaksono, A. Mauludiyanto, G. Hendrantoro
High Frequency (HF) communication systems use radio waves at frequencies in the range of 3-30 MHz propagating in the form of skywave with the help of the ionosphere. For emergency communication applications, the HF communication system is expected to send text messages by implementing a digital communication system. This paper presents the design of the HF digital communication system on a Software-Defined Radio (SDR) platform for easy implementation. To achieve a good error rate performance, the AX.25 protocol is used at the data link layer. The system performance is evaluated by measuring Signal to Noise Ratio (SNR), Bit Error Rate (BER), Character Error Rate (CER), and Frame Error Rate (FER) with and without the AX.25 protocol. The results show that the system has been successfully implemented on the USRP platform with LabView as the user interface, while the use of the AX.25 protocol generates a zero error rate.
{"title":"An HF Digital Communication System Based on Software-Defined Radio","authors":"Agung Wicaksono, A. Mauludiyanto, G. Hendrantoro","doi":"10.1109/ICoSTA48221.2020.1570610561","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570610561","url":null,"abstract":"High Frequency (HF) communication systems use radio waves at frequencies in the range of 3-30 MHz propagating in the form of skywave with the help of the ionosphere. For emergency communication applications, the HF communication system is expected to send text messages by implementing a digital communication system. This paper presents the design of the HF digital communication system on a Software-Defined Radio (SDR) platform for easy implementation. To achieve a good error rate performance, the AX.25 protocol is used at the data link layer. The system performance is evaluated by measuring Signal to Noise Ratio (SNR), Bit Error Rate (BER), Character Error Rate (CER), and Frame Error Rate (FER) with and without the AX.25 protocol. The results show that the system has been successfully implemented on the USRP platform with LabView as the user interface, while the use of the AX.25 protocol generates a zero error rate.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124023454","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570613999
Manzilatul Rohmah, A. P. Subriadi
The use of information systems (IS) in education to support the learning process and administration has been widely carried out. The implementation of IS requires many interrelated processes. Failure in implementing IS can lead to negative impacts for higher education, both material, time and other resources. Change is one of the impacts of IS implementation that must be considered. The success of implementing IS depends on how far the change can be managed successfully. Therefore, guidelines are needed to manage changes in IS implementation. A change management model for IS implementation is proposed in this paper. There are 8 domains and 20 aspects of the model that are arranged based on three existing management models. Important factors from previous research related to the change management of IS implementation have been mapped in aspects of the model.
{"title":"A Change Management Model for Information Systems Implementation","authors":"Manzilatul Rohmah, A. P. Subriadi","doi":"10.1109/ICoSTA48221.2020.1570613999","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570613999","url":null,"abstract":"The use of information systems (IS) in education to support the learning process and administration has been widely carried out. The implementation of IS requires many interrelated processes. Failure in implementing IS can lead to negative impacts for higher education, both material, time and other resources. Change is one of the impacts of IS implementation that must be considered. The success of implementing IS depends on how far the change can be managed successfully. Therefore, guidelines are needed to manage changes in IS implementation. A change management model for IS implementation is proposed in this paper. There are 8 domains and 20 aspects of the model that are arranged based on three existing management models. Important factors from previous research related to the change management of IS implementation have been mapped in aspects of the model.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131564211","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 : 2020-02-01DOI: 10.1109/ICoSTA48221.2020.1570615039
M. M. Hidayat, R. Dimas Adityo, A. Siswanto
Culinary business is a business opportunity that is most in-demand, E Bill Resto is a restaurant billing system that was developed by involving several selling places/restaurants with the name of a brand that is connected to the parent company by a database server. With an integrated system, all revenue from restaurant sales can be monitored in realtime. The system design is made by implementing the RESTFul API architecture with security access tokens. The Master Application as a provider of Embedded Data Service Web resources on 3 Restaurant Information Systems, It does the synchronization of 3 Web Service Clients, Data From the Master-Slave Side was obtained by testing 3 data sampling, where both applications are tested QoS (Quality of Service) with 3 new data samples, from the INDOSAT Internet Provider which showed an average test result of Throughput of 170.3 bps, Packet Loss of 18.851% and Delay (latency) of 78.4 ms. Whereas using the TELKOM Internet Provider with an average throughput of 259.5 bps, Packet Loss of 14.28% and delay (latency) of 83.8 ms. Then it can be concluded that testing based on TIPHON Throughput and Delay (latency) from INDOSAT 4G and TELKOM signal Internet Providers showed the category of "Very Good" while the Packet Loss test obtained the "Bad" category.
烹饪业务是一个最受欢迎的商业机会，E Bill Resto是一个餐馆计费系统，它是由几个销售地点/餐馆开发的，这些地方/餐馆的品牌名称通过数据库服务器连接到母公司。有了一个集成系统，所有来自餐厅销售的收入都可以实时监控。系统设计是通过使用安全访问令牌实现RESTFul API架构来完成的。主应用程序作为3个餐饮信息系统上嵌入式数据服务Web资源的提供者，它对3个Web服务客户端进行同步，主从端数据通过测试3个数据采样获得，其中两个应用程序都使用来自INDOSAT互联网提供商的3个新数据样本测试QoS(服务质量)，平均测试结果为吞吐量为170.3 bps，丢包率为18.851%，延迟(延迟)为78.4 ms。而使用TELKOM互联网提供商的平均吞吐量为259.5 bps，丢包率为14.28%，延迟(延迟)为83.8 ms。然后可以得出结论，基于INDOSAT 4G和TELKOM信号互联网提供商的TIPHON吞吐量和延迟(延迟)的测试显示为“非常好”类别，而丢包测试获得“坏”类别。
{"title":"Design of Restaurant Billing System (E Bill Resto) by Applying Synchronization of Data Billing in Branch Companies to Main Companies Based on Rest API","authors":"M. M. Hidayat, R. Dimas Adityo, A. Siswanto","doi":"10.1109/ICoSTA48221.2020.1570615039","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570615039","url":null,"abstract":"Culinary business is a business opportunity that is most in-demand, E Bill Resto is a restaurant billing system that was developed by involving several selling places/restaurants with the name of a brand that is connected to the parent company by a database server. With an integrated system, all revenue from restaurant sales can be monitored in realtime. The system design is made by implementing the RESTFul API architecture with security access tokens. The Master Application as a provider of Embedded Data Service Web resources on 3 Restaurant Information Systems, It does the synchronization of 3 Web Service Clients, Data From the Master-Slave Side was obtained by testing 3 data sampling, where both applications are tested QoS (Quality of Service) with 3 new data samples, from the INDOSAT Internet Provider which showed an average test result of Throughput of 170.3 bps, Packet Loss of 18.851% and Delay (latency) of 78.4 ms. Whereas using the TELKOM Internet Provider with an average throughput of 259.5 bps, Packet Loss of 14.28% and delay (latency) of 83.8 ms. Then it can be concluded that testing based on TIPHON Throughput and Delay (latency) from INDOSAT 4G and TELKOM signal Internet Providers showed the category of \"Very Good\" while the Packet Loss test obtained the \"Bad\" category.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134417862","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}
This paper develops a real-time condition-monitoring algorithm for induction motor. The condition monitoring mechanism is based on the discrete wavelet transform (DWT) and the fuzzy inference system (FIS). In this method, the stator currents are used as an input to the system. No direct access to the induction motor is required. The developed system has been rigorously assessed theoretically and experimentally, and it has been shown that the system is robust and reliable.
{"title":"Fault Classification of Induction Motor Using Discrete Wavelet Transform and Fuzzy Inference System","authors":"Kuspijani Kuspijani, Richa Watiasih, Prihastono Prihastono","doi":"10.1109/ICoSTA48221.2020.1570615773","DOIUrl":"https://doi.org/10.1109/ICoSTA48221.2020.1570615773","url":null,"abstract":"This paper develops a real-time condition-monitoring algorithm for induction motor. The condition monitoring mechanism is based on the discrete wavelet transform (DWT) and the fuzzy inference system (FIS). In this method, the stator currents are used as an input to the system. No direct access to the induction motor is required. The developed system has been rigorously assessed theoretically and experimentally, and it has been shown that the system is robust and reliable.","PeriodicalId":375166,"journal":{"name":"2020 International Conference on Smart Technology and Applications (ICoSTA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123970294","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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