Pub Date : 2021-09-23DOI: 10.1109/ICITech50181.2021.9590104
Brian Eniko Singgih, Langgeng Yudistira, Husodo Wijaya, Maria Susan Anggreainy
The internet as a medium of shopping and buying has become a widely researched media theme. Augmented reality is a breakthrough technology that helps deliver an e-commerce online shopping experience using the internet with the quality of offline shopping. That is possible thanks to the ability of augmented reality technology which allows consumers to associate and try the product through cyberspace, as well as online stores. This study aims to implement AR in e-commerce applications. The e-commerce application here is a Web-based application that is segmental into the online shopping site with expected features to give the appearance of a new product, unique and exciting in online shopping activity. With the existence of augmented reality, it will make it easier to use web-based applications so that it helps customers find the desired product.
{"title":"Implementation of Augmented Reality in E-Commerce Applications","authors":"Brian Eniko Singgih, Langgeng Yudistira, Husodo Wijaya, Maria Susan Anggreainy","doi":"10.1109/ICITech50181.2021.9590104","DOIUrl":"https://doi.org/10.1109/ICITech50181.2021.9590104","url":null,"abstract":"The internet as a medium of shopping and buying has become a widely researched media theme. Augmented reality is a breakthrough technology that helps deliver an e-commerce online shopping experience using the internet with the quality of offline shopping. That is possible thanks to the ability of augmented reality technology which allows consumers to associate and try the product through cyberspace, as well as online stores. This study aims to implement AR in e-commerce applications. The e-commerce application here is a Web-based application that is segmental into the online shopping site with expected features to give the appearance of a new product, unique and exciting in online shopping activity. With the existence of augmented reality, it will make it easier to use web-based applications so that it helps customers find the desired product.","PeriodicalId":429669,"journal":{"name":"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132897465","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}
Medicine manufacture in Indonesia based on Government Regulation no. 34 in 2018 about Good Manufacturing Practice (GMP) or in Bahasa known as “Cara Pembuatan Obat Baik” (CPOB). This method arranges the process from the raw material into the medicine storage and warehouse. With GMP, expected that the quality of medicine is guaranteed. However, there are still many counterfeit medicines produced and distributed. It is very dangerous for the patients, even causing death. Therefore, this research aims to improve medicine quality. Supply Chain Management is the core process in the pharmacy industry. The current SCM needs to improve in some areas because the data can be changed or deleted, so the right technology is needed to strengthen the SCM. Blockchain technology has immutable, unchangeable, secure, distributed, and peer to beer and famous now in many industries. This study involved five experts (still actively working and handling the process of making drugs to storage directly) from one of the largest pharmaceutical industry in Indonesia. This research tries to create an SCM model with the GMP method using Blockchain technology. The proposed model shows blockchain technology support in the part of the SCM processes. The method used in this research is a qualitative method with user-centered design, starting with literature to find the essential process that essential for model formation. The results of this research are beneficial for industry and scientific development
{"title":"Propose Model Blockchain Technology Based Good Manufacturing Practice Model of Pharmacy Industry in Indonesia","authors":"Meyliana, Surjandy, Erick Fernando, Cadelina Cassandra, Marjuki","doi":"10.1109/ICITech50181.2021.9590120","DOIUrl":"https://doi.org/10.1109/ICITech50181.2021.9590120","url":null,"abstract":"Medicine manufacture in Indonesia based on Government Regulation no. 34 in 2018 about Good Manufacturing Practice (GMP) or in Bahasa known as “Cara Pembuatan Obat Baik” (CPOB). This method arranges the process from the raw material into the medicine storage and warehouse. With GMP, expected that the quality of medicine is guaranteed. However, there are still many counterfeit medicines produced and distributed. It is very dangerous for the patients, even causing death. Therefore, this research aims to improve medicine quality. Supply Chain Management is the core process in the pharmacy industry. The current SCM needs to improve in some areas because the data can be changed or deleted, so the right technology is needed to strengthen the SCM. Blockchain technology has immutable, unchangeable, secure, distributed, and peer to beer and famous now in many industries. This study involved five experts (still actively working and handling the process of making drugs to storage directly) from one of the largest pharmaceutical industry in Indonesia. This research tries to create an SCM model with the GMP method using Blockchain technology. The proposed model shows blockchain technology support in the part of the SCM processes. The method used in this research is a qualitative method with user-centered design, starting with literature to find the essential process that essential for model formation. The results of this research are beneficial for industry and scientific development","PeriodicalId":429669,"journal":{"name":"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114452824","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 : 2021-09-23DOI: 10.1109/ICITech50181.2021.9590169
Rikuya Takehara, T. Gonsalves
In recent years, technologies based on deep learning have been useful in various aspects of our daily lives. In the field of automated driving, which is attracting particular attention, image recognition technology is used to detect roads, white lines, and vehicles ahead. However, since automated vehicles are controlled by acquiring information about the vehicle's position and surrounding environment mainly from image sensors and cameras, the production cost is very high. The goal of this research is to develop autonomous driving technology using only an on-board visual camera, without any image sensors. Automatic parking is implemented using reinforcement learning in the virtual environment of Unity. Autonomous parking with high accuracy is achieved by using the input image as a segmentation image.
{"title":"Autonomous Car Parking System using Deep Reinforcement Learning","authors":"Rikuya Takehara, T. Gonsalves","doi":"10.1109/ICITech50181.2021.9590169","DOIUrl":"https://doi.org/10.1109/ICITech50181.2021.9590169","url":null,"abstract":"In recent years, technologies based on deep learning have been useful in various aspects of our daily lives. In the field of automated driving, which is attracting particular attention, image recognition technology is used to detect roads, white lines, and vehicles ahead. However, since automated vehicles are controlled by acquiring information about the vehicle's position and surrounding environment mainly from image sensors and cameras, the production cost is very high. The goal of this research is to develop autonomous driving technology using only an on-board visual camera, without any image sensors. Automatic parking is implemented using reinforcement learning in the virtual environment of Unity. Autonomous parking with high accuracy is achieved by using the input image as a segmentation image.","PeriodicalId":429669,"journal":{"name":"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130549004","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 : 2021-09-23DOI: 10.1109/ICITech50181.2021.9590101
Daris Alfafa, Muhamad Wahyu Iqbal, I. T. Setyadewi, Y. I. Pawestri, C. Apriono
In eastern Indonesia, the total construction of fiber optic has only reached 1.9% in the Sulawesi region. Supporting the growing demand for international broadband internet in the eastern part of Indonesia and creating a redundant network in eastern Indonesia is a priority to increase this number. This research proposes a submarine backbone optical network design for Manado - Hong Kong, including cable length and number of repeaters estimation to meet the power budget criteria. This paper also discusses a dispersion compensation module to meet the rise time budget criteria. The power budget and rise time results show that the proposed design offers values not exceeding the determined threshold. Therefore, performance analysis shows that the design is feasible for implementation based on power budget and rise time analysis.
{"title":"Design of Manado - HongKong Backbone Optical Fiber Network","authors":"Daris Alfafa, Muhamad Wahyu Iqbal, I. T. Setyadewi, Y. I. Pawestri, C. Apriono","doi":"10.1109/ICITech50181.2021.9590101","DOIUrl":"https://doi.org/10.1109/ICITech50181.2021.9590101","url":null,"abstract":"In eastern Indonesia, the total construction of fiber optic has only reached 1.9% in the Sulawesi region. Supporting the growing demand for international broadband internet in the eastern part of Indonesia and creating a redundant network in eastern Indonesia is a priority to increase this number. This research proposes a submarine backbone optical network design for Manado - Hong Kong, including cable length and number of repeaters estimation to meet the power budget criteria. This paper also discusses a dispersion compensation module to meet the rise time budget criteria. The power budget and rise time results show that the proposed design offers values not exceeding the determined threshold. Therefore, performance analysis shows that the design is feasible for implementation based on power budget and rise time analysis.","PeriodicalId":429669,"journal":{"name":"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128190374","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 : 2021-09-23DOI: 10.1109/ICITech50181.2021.9590164
T. Wahyono, Sri Winarso Martyas Edi, A. Mulyani, D. Kurniadi
Based on the importance of estimating air humidity in a region, this study proposes a method for air humidity prediction, based on deep learning using the Long Short Term Memory (LSTM) method. The results showed that LSTM, which is a variant of Recurrent Neural Network (RNN), can be used to predict air humidity better than other methods. The data training process by using the linear regression produced the MSE value of 0.417 and the RMSE value of 0.646, whereas the LSTM method produced the MSE value of 0.018 and the RMSE value of 0.136.
{"title":"Humidity Prediction Model using Long Short Term Memory in Recurrent Neural Network","authors":"T. Wahyono, Sri Winarso Martyas Edi, A. Mulyani, D. Kurniadi","doi":"10.1109/ICITech50181.2021.9590164","DOIUrl":"https://doi.org/10.1109/ICITech50181.2021.9590164","url":null,"abstract":"Based on the importance of estimating air humidity in a region, this study proposes a method for air humidity prediction, based on deep learning using the Long Short Term Memory (LSTM) method. The results showed that LSTM, which is a variant of Recurrent Neural Network (RNN), can be used to predict air humidity better than other methods. The data training process by using the linear regression produced the MSE value of 0.417 and the RMSE value of 0.646, whereas the LSTM method produced the MSE value of 0.018 and the RMSE value of 0.136.","PeriodicalId":429669,"journal":{"name":"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127301803","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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