Egg selection process can be performed by either natural or artificial way. The latter can be done by using image processing. It is segmenting the image of an egg to obtain objects contained in the image. This study is designed to identify fertile and infertile egg by using Otsu thresholding method. The importance of this study is designing model of egg detection system using image processing to obtain information of fertile and infertile egg. The results of egg testing show that algorithm and method that was used were able to distinguish the fertile and infertile eggs of domestic fowl.
{"title":"Eggs Detection Using Otsu Thresholding Method","authors":"Dolly Indra, Tasrif Hasanuddin, Ramdan Satra, Nanang Roni Wibowo","doi":"10.1109/EIConCIT.2018.8878517","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878517","url":null,"abstract":"Egg selection process can be performed by either natural or artificial way. The latter can be done by using image processing. It is segmenting the image of an egg to obtain objects contained in the image. This study is designed to identify fertile and infertile egg by using Otsu thresholding method. The importance of this study is designing model of egg detection system using image processing to obtain information of fertile and infertile egg. The results of egg testing show that algorithm and method that was used were able to distinguish the fertile and infertile eggs of domestic fowl.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"32 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115374194","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 : 2018-11-01DOI: 10.1109/EIConCIT.2018.8878581
Supriyanto, Jefree Fahana, Sugeng Handoko
Data needs of ecotourism managers are quite high. Data is used to improve service and quality. However, there is not much data availability and tends to be difficult to collect. Even though they have used information technology to facilitate data collection, they have not yet obtained maximum results. The reason is that managers do not manage information technology properly and not many tourists participate in filling in information technology content. The advancement of information technology especially online-based social networks actually provides a lot of data. But the manager has difficulty retrieving the data, because it requires unique keywords or markers. Keywords or markers are needed for the process of withdrawing data from internet. This marker also makes it easy to cluster very large amounts of data. This paper describes how to design of digital data collection systems uses the gamification approach. Using game strategy theory and game elements such as rewards and leaderboard. The goal is to attract tourists or visitors to share photos, videos and stories through social media. This system is very simple, utilizing existing information technology and social media. Thus, more tourists are interested and motivated to share, more data collection they have, so that management and improvement of ecotourism services can run better.
{"title":"Gamification to Improve Digital Data Collection in Ecotourism Management","authors":"Supriyanto, Jefree Fahana, Sugeng Handoko","doi":"10.1109/EIConCIT.2018.8878581","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878581","url":null,"abstract":"Data needs of ecotourism managers are quite high. Data is used to improve service and quality. However, there is not much data availability and tends to be difficult to collect. Even though they have used information technology to facilitate data collection, they have not yet obtained maximum results. The reason is that managers do not manage information technology properly and not many tourists participate in filling in information technology content. The advancement of information technology especially online-based social networks actually provides a lot of data. But the manager has difficulty retrieving the data, because it requires unique keywords or markers. Keywords or markers are needed for the process of withdrawing data from internet. This marker also makes it easy to cluster very large amounts of data. This paper describes how to design of digital data collection systems uses the gamification approach. Using game strategy theory and game elements such as rewards and leaderboard. The goal is to attract tourists or visitors to share photos, videos and stories through social media. This system is very simple, utilizing existing information technology and social media. Thus, more tourists are interested and motivated to share, more data collection they have, so that management and improvement of ecotourism services can run better.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130851683","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 : 2018-11-01DOI: 10.1109/EIConCIT.2018.8878598
Arief Bramanto Wicaksono Putra, M. Jufri, Dirgahayu Lantara, Anugrah Assyauqi, Agusma Wajiansyah, A. Pranolo
Steganography process requires two different media, namely messages and cover media with the aim to insert or hide a text message information into the audio media so that in addition to sender and receiver no one knows that there is a secret message. In this study, the message used is text data in “txt” format and the cover is digital audio data in “wav” format. Message insertion is performed by using the Least Significant Bit (LSB) method. In this case, text and audio data need to be converted into 8-bit binary forms. The 4-Wrap Length method is the method proposed to determine the insertion position of the message into the cover to generate the insertion results randomly so that the contents of the message are not easily known. Performance measurement of the steganography results was performed by using MSE (Mean Squared Error) and PSNR (Peak Signal-to-Noise Ratio). This study has used a sample of audio data files that have duration of 10 seconds as a cover and five text messages of different lengths. The study results showed that the longer the text message, the larger the MSE and the smaller the PSNR. It can be concluded that the quality of stego-audio was very depend on the length of the text message.
{"title":"Steganography for Data Hiding in Digital Audio Data using Combined Least Significant Bit and 4-Wrap Length Method","authors":"Arief Bramanto Wicaksono Putra, M. Jufri, Dirgahayu Lantara, Anugrah Assyauqi, Agusma Wajiansyah, A. Pranolo","doi":"10.1109/EIConCIT.2018.8878598","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878598","url":null,"abstract":"Steganography process requires two different media, namely messages and cover media with the aim to insert or hide a text message information into the audio media so that in addition to sender and receiver no one knows that there is a secret message. In this study, the message used is text data in “txt” format and the cover is digital audio data in “wav” format. Message insertion is performed by using the Least Significant Bit (LSB) method. In this case, text and audio data need to be converted into 8-bit binary forms. The 4-Wrap Length method is the method proposed to determine the insertion position of the message into the cover to generate the insertion results randomly so that the contents of the message are not easily known. Performance measurement of the steganography results was performed by using MSE (Mean Squared Error) and PSNR (Peak Signal-to-Noise Ratio). This study has used a sample of audio data files that have duration of 10 seconds as a cover and five text messages of different lengths. The study results showed that the longer the text message, the larger the MSE and the smaller the PSNR. It can be concluded that the quality of stego-audio was very depend on the length of the text message.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128698106","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 : 2018-11-01DOI: 10.1109/EIConCIT.2018.8878510
Fachrul Kurniawan, Hani Nurhayati, Yunifa Miftachul Arif, S. Harini, S. M. S. Nugroho, M. Hariadi
Agriculture is one of the issues that never runs out to be discussed. Since agriculture is one of the main sources of livelihood of the rural population. Therefore, the construction of agricultural data-based internet of things is very important to do. In this paper, we present the steps of making agricultural monitoring tool-based internet of things in a comprehensive manner, using prototyping methods drawn from the experience of the agricultural process. A combination of hardware and software that uses data communication-based wireless fidelity (Wi-Fi) allow monitoring parameters of agricultural data visually and accurately, making it easier for farmers to act when something events that require rapid handling.
{"title":"Smart Monitoring Agriculture Based on Internet of Things","authors":"Fachrul Kurniawan, Hani Nurhayati, Yunifa Miftachul Arif, S. Harini, S. M. S. Nugroho, M. Hariadi","doi":"10.1109/EIConCIT.2018.8878510","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878510","url":null,"abstract":"Agriculture is one of the issues that never runs out to be discussed. Since agriculture is one of the main sources of livelihood of the rural population. Therefore, the construction of agricultural data-based internet of things is very important to do. In this paper, we present the steps of making agricultural monitoring tool-based internet of things in a comprehensive manner, using prototyping methods drawn from the experience of the agricultural process. A combination of hardware and software that uses data communication-based wireless fidelity (Wi-Fi) allow monitoring parameters of agricultural data visually and accurately, making it easier for farmers to act when something events that require rapid handling.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126897748","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 : 2018-11-01DOI: 10.1109/EIConCIT.2018.8878553
BambangEkoHari Cahyono, M. Firdaus, E. Budiman, M. Wati
Educational media for students to understand 3D geometry is currently conventional, schools and teaching staff find it difficult to get teaching aids as educational media tools to build 3D space. In terms of cognitive aspects, students also find it difficult to understand objects that build 3D space, because without teaching aids they are only able to imagine or imagine themselves building 3D space objects. Augmented reality (AR) is a good medium for deep collaborative simulation. This AR modeling uses marker based where the marker is incorporated in 2D geometry. In this study, we design and build applications of interactive education models on cubes, tubes, conical geometry objects as a means of learning elementary school mathematics. It is expected that this application can be a tool for mathematics teachers in delivering 3D space building material. The results obtained are 3D geometry modeling successfully read the marker and if the 3D AR model is clicked then a formula will appear from each geometry.
{"title":"Augmented Reality Applied to Geometry Education","authors":"BambangEkoHari Cahyono, M. Firdaus, E. Budiman, M. Wati","doi":"10.1109/EIConCIT.2018.8878553","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878553","url":null,"abstract":"Educational media for students to understand 3D geometry is currently conventional, schools and teaching staff find it difficult to get teaching aids as educational media tools to build 3D space. In terms of cognitive aspects, students also find it difficult to understand objects that build 3D space, because without teaching aids they are only able to imagine or imagine themselves building 3D space objects. Augmented reality (AR) is a good medium for deep collaborative simulation. This AR modeling uses marker based where the marker is incorporated in 2D geometry. In this study, we design and build applications of interactive education models on cubes, tubes, conical geometry objects as a means of learning elementary school mathematics. It is expected that this application can be a tool for mathematics teachers in delivering 3D space building material. The results obtained are 3D geometry modeling successfully read the marker and if the 3D AR model is clicked then a formula will appear from each geometry.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133146519","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 : 2018-11-01DOI: 10.1109/EIConCIT.2018.8878667
Dedy Atmajaya, N. Kurniati, Wistiani Astuti, Yulita Salim, Asman Haris
The Waste is a very complex problem in human life. The problem of handling waste occurs both in small, medium and large scales environments. By its nature, waste is categorized into two types, namely organic waste and nonorganic waste. This study aims to develop a system of waste scales in the type of non-organic waste that produces digital data for handling more complex waste management. The method we use in system development using prototyping methods. The waste scales control device was developed using the main load cell, Hx711 and LCD components and ESP32. The control system provides information of waste scales from non-organic waste weighing results performed by the control system. Data from the weighing carried out by the waste scales system are sent via Web-Socket to be converted into rupiah (IDR) in accordance with the waste category based on the price list issued by BSU of Makassar city. Customers are required to have an account on the waste savings system to be able to access this feature.
{"title":"Digital Scales System on Non-Organic Waste Types Based on Load Cell and ESP32","authors":"Dedy Atmajaya, N. Kurniati, Wistiani Astuti, Yulita Salim, Asman Haris","doi":"10.1109/EIConCIT.2018.8878667","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878667","url":null,"abstract":"The Waste is a very complex problem in human life. The problem of handling waste occurs both in small, medium and large scales environments. By its nature, waste is categorized into two types, namely organic waste and nonorganic waste. This study aims to develop a system of waste scales in the type of non-organic waste that produces digital data for handling more complex waste management. The method we use in system development using prototyping methods. The waste scales control device was developed using the main load cell, Hx711 and LCD components and ESP32. The control system provides information of waste scales from non-organic waste weighing results performed by the control system. Data from the weighing carried out by the waste scales system are sent via Web-Socket to be converted into rupiah (IDR) in accordance with the waste category based on the price list issued by BSU of Makassar city. Customers are required to have an account on the waste savings system to be able to access this feature.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130301323","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 : 2018-11-01DOI: 10.1109/EIConCIT.2018.8878563
N. Dengen, Haviluddin, Lia Andriyani, M. Wati, E. Budiman, F. Alameka
A planning activities in order to ensure drug availability according category and quantity is very necessary by health organizations. Therefore, this study, Least Square (LS) method for forecasting as a part of planning in order to guarantee the drugs availability based on drugs consumption past data have been implemented. In this study, drugs consumption data in period January - November 2017 or 197 samples datasets have been utilized. Based on the experimental results, the prediction for the next month has an average accuracy value, Mean Absolute Deviation (MAD) of 51.20 %, Mean Square Error (MSE) of 66.29 % and Mean Absolute Percentage Error (MAPE) of 10% has been obtained. In other words, the LS method could be explored as an alternative forecasting method of drugs availability. Furthermore, an accuracy increased improved by using the computational intelligence (CI) method is next research plan.
{"title":"Medicine Stock Forecasting Using Least Square Method","authors":"N. Dengen, Haviluddin, Lia Andriyani, M. Wati, E. Budiman, F. Alameka","doi":"10.1109/EIConCIT.2018.8878563","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878563","url":null,"abstract":"A planning activities in order to ensure drug availability according category and quantity is very necessary by health organizations. Therefore, this study, Least Square (LS) method for forecasting as a part of planning in order to guarantee the drugs availability based on drugs consumption past data have been implemented. In this study, drugs consumption data in period January - November 2017 or 197 samples datasets have been utilized. Based on the experimental results, the prediction for the next month has an average accuracy value, Mean Absolute Deviation (MAD) of 51.20 %, Mean Square Error (MSE) of 66.29 % and Mean Absolute Percentage Error (MAPE) of 10% has been obtained. In other words, the LS method could be explored as an alternative forecasting method of drugs availability. Furthermore, an accuracy increased improved by using the computational intelligence (CI) method is next research plan.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"70 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113987244","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 : 2018-11-01DOI: 10.1109/EIConCIT.2018.8878611
Novianto Padaunan, Z. Zainuddin, M. Niswar
Weight is one of several important parameters in the transactions process of buying and selling of mud crab. It must be known accurately to determine the price of mud crab. All this time, sellers and buyers on the market generally estimate the weight of mud crab just by relying solely on the senses. It does not only potentially cause losses for both sellers and buyers but also has no scientific basis. This research is conducted to assist sellers and buyers in estimating the weight of mud crab by developing a mobile application that uses image processing techniques. This mobile application estimates the weight of mud crab based on the carapace width of mud crab from the image obtained through the camera. This mobile application has been tested on a smartphone device with the operating system Android 4.1.2 Jelly Beans (API level 16). Testing was performed by comparing the estimated weight and carapace width of mud crab obtained through a smartphone device with the actual weight and carapace width of mud crab obtained through direct measurements using Vernier caliper and the scales. The result of this research shows that this mobile application has a good level of accuracy. It can be proving by the mean absolute error rate for the width of mud crab carapace which is only 0.086 cm and mean absolute error rate for the weight of mud crab which is only 2.643 gram. This mobile application is helpful for sellers and buyers to estimate the weight of mud crab.
{"title":"Mobile Application For Mud Crab Weight Estimation","authors":"Novianto Padaunan, Z. Zainuddin, M. Niswar","doi":"10.1109/EIConCIT.2018.8878611","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878611","url":null,"abstract":"Weight is one of several important parameters in the transactions process of buying and selling of mud crab. It must be known accurately to determine the price of mud crab. All this time, sellers and buyers on the market generally estimate the weight of mud crab just by relying solely on the senses. It does not only potentially cause losses for both sellers and buyers but also has no scientific basis. This research is conducted to assist sellers and buyers in estimating the weight of mud crab by developing a mobile application that uses image processing techniques. This mobile application estimates the weight of mud crab based on the carapace width of mud crab from the image obtained through the camera. This mobile application has been tested on a smartphone device with the operating system Android 4.1.2 Jelly Beans (API level 16). Testing was performed by comparing the estimated weight and carapace width of mud crab obtained through a smartphone device with the actual weight and carapace width of mud crab obtained through direct measurements using Vernier caliper and the scales. The result of this research shows that this mobile application has a good level of accuracy. It can be proving by the mean absolute error rate for the width of mud crab carapace which is only 0.086 cm and mean absolute error rate for the weight of mud crab which is only 2.643 gram. This mobile application is helpful for sellers and buyers to estimate the weight of mud crab.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128427040","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 : 2018-11-01DOI: 10.1109/EIConCIT.2018.8878638
P. Ciptayani, N. Saptarini, P. A. W. Santiary, I. Astawa
Traveling is one of the popular activities today. When traveling, the tourist usually decides to visit the interesting tourism destination. The number of tourist destinations available, often makes the tourist confused to select the destination according to their preferences. This paper aims to demonstrate multi criteria decision making (MCDM) by combining Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW). The standard SAW method uses the criteria weight input by user. Users are often confused to give the score that represent their preference for the criteria appropriately. In this study, the AHP was used to get the weight of criteria based on user’ priority, while the SAW was used to rank all the alternatives. The case study used four criteria and ten alternatives. The result shows that combining AHP and SAW can be applied to the case study. The combining method work well by result the criteria weight based on the user preference and then rank all alternatives based on the alternatives score in each criterion and the weight of each criterion. The case study show that value of consistency ratio was 0.043, which means the comparison matrix inputted by user, was consistent.
{"title":"Decision Support System for Tourist Destination using the Combination of AHP and SAW","authors":"P. Ciptayani, N. Saptarini, P. A. W. Santiary, I. Astawa","doi":"10.1109/EIConCIT.2018.8878638","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878638","url":null,"abstract":"Traveling is one of the popular activities today. When traveling, the tourist usually decides to visit the interesting tourism destination. The number of tourist destinations available, often makes the tourist confused to select the destination according to their preferences. This paper aims to demonstrate multi criteria decision making (MCDM) by combining Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW). The standard SAW method uses the criteria weight input by user. Users are often confused to give the score that represent their preference for the criteria appropriately. In this study, the AHP was used to get the weight of criteria based on user’ priority, while the SAW was used to rank all the alternatives. The case study used four criteria and ten alternatives. The result shows that combining AHP and SAW can be applied to the case study. The combining method work well by result the criteria weight based on the user preference and then rank all alternatives based on the alternatives score in each criterion and the weight of each criterion. The case study show that value of consistency ratio was 0.043, which means the comparison matrix inputted by user, was consistent.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116965257","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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