S. Yogarayan, S. F. A. Razak, M. F. A. Abdullah, Fremont Ong Wei Kwong
{"title":"Connected Vehicle Communication Concept for Flood Level Warning Using Low Cost Microcontroller","authors":"S. Yogarayan, S. F. A. Razak, M. F. A. Abdullah, Fremont Ong Wei Kwong","doi":"10.1109/ICoICT52021.2021.9527432","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527432","url":null,"abstract":"In Malaysia, there are some areas that frequently have flood due to ditch blockage or sudden rising of river’s water. Most floods can cause vehicles and other infrastructures to be damaged. The victims of every flood that occur could be reduced if they receive any message through a communication medium to alert in advance. Therefore, this study aims to develop a prototype system to send a message on flood detection via wireless connection using ESP8266 as a means of communication. This prototype is specifically applied for vehicles to be warned much earlier. The outcome shows that sending flood detection message by using the communication medium is possible and took less than a minute to transmit the message. The flood detection data are saved in Firebase cloud.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132112702","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}
Muhammad Fajar Rizqi, Reza Rendian Septiawan, I. Kurniawan
{"title":"Implementation of Simulated Annealing-Support Vector Machine on QSAR Study of Indenopyrazole Derivative as Anti-Cancer Agent","authors":"Muhammad Fajar Rizqi, Reza Rendian Septiawan, I. Kurniawan","doi":"10.1109/ICoICT52021.2021.9527416","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527416","url":null,"abstract":"Cancer is a disease that occurs due to the uncontrolled growth of abnormal cells causing body tissue damage. This disease is considered as a deadly disease. In 2019, 1700 deaths occur every day due to cancer. Some effective anti-cancer agents are known to cause temporary to chronic toxic effects. There are several compounds that have the potential to become anticancer drugs, one of them is indenopyrazole. Recently, not many QSAR studies have been conducted to exploit the potential of indenopyrazole as anti-cancer agent. The goal of this research is to implement simulated annealing and support vector machine method in the QSAR study to predict the activity of indenopyrazole derivatives as anti-cancer drugs. Simulated annealing is used for feature selection and support vector machine is used for model development. In this research, we used three kernel models for SVM, namely SVM with RBF kernel, SVM with linear kernel, and SVM with the polynomial kernel. From three models that were regressed, SVM with RBF kernel has parameter C=10, gamma=scale and epsilon=0.1 produce R2 score train and test 0.79 and 0.60, respectively. SVM with linear kernel has parameter C=1000, degree=1 and epsilon=0.1 produce R2 score train and test 0.61 and 0.63, respectively. SVM with polynomial kernel has parameter C=1000, degree=2 and epsilon=0.1 produce R2 score train and test 0.72 and 0.50, respectively. Based on the validation results, only model with RBF kernel which parameters satisfy all the criteria. From the result we can conclude that the model with RBF kernel is the best model and acceptable.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134406948","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}
Muhammad Reza Widya Pratama, M. Abdurohman, Aji Gautama Putrada
{"title":"Vehicle Blind Spot Area Detection Using Bluetooth Low Energy and Multilateration","authors":"Muhammad Reza Widya Pratama, M. Abdurohman, Aji Gautama Putrada","doi":"10.1109/ICoICT52021.2021.9527516","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527516","url":null,"abstract":"Blind spot is the area around the vehicle that cannot be seen by the driver's view even with the help of the rear view mirrors on the vehicle. Therefore a solution is needed to overcome this problem. This study proposes a system that can detect other road users in the blind spot area. This system uses the Bluetooth Low Energy (BLE) module to detect the presence of objects (smartphones) belonging to other road users. Prediction of the distance to the road user is obtained by calculating the RSSI value between the user's smartphone and the detecting BLE module. Meanwhile, the object's position is obtained by using a multilateration algorithm. In this study, the Kalman Filter is also used to suppress the noise obtained during the target detection process. Detection results in the form of user distance and location prediction are displayed on the driver's smartphone screen. Testing the detection of vehicles in a blind spot area in stationary conditions produces an accuracy value of 88.3%.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132167579","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}
{"title":"Greetings from the General Chair","authors":"","doi":"10.1109/icoict52021.2021.9527457","DOIUrl":"https://doi.org/10.1109/icoict52021.2021.9527457","url":null,"abstract":"","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115473681","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}
{"title":"Wireless Programmable Body Sensor Networks and Situated Healthcare","authors":"A. Faro, D. Giordano, M. Venticinque","doi":"10.1109/ICoICT52021.2021.9527527","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527527","url":null,"abstract":"Wireless Body Sensor Networks (BSNs) represent an interesting challenge to effectively control dangerous pathology and to monitor the well being status of elderly and fragile people. However, such networks don’t take into account the context that highly influences the health status. This counteracts with the notion of situated healthcare more and more claimed from both sociological and medical point of view to provide effective healthcare interventions. Following this point of view, the paper illustrates an effective architecture to control health status taking into account the user context. In particular, programmable wireless body sensor networks recently available on the market fused with environmental portable sensors are evaluated to provide a viable step towards a smart situated healthcare, i.e., monitoring and control from remote sites and in real time people in their context by using IoT devices provided with artificial intelligence, i.e., AIoT devices, and suitable web services that allow such smart bodily networks to interact with networks of other people, doctors or hospitals. Current limits and potentialities are pointed out by a case study.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115871741","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}
{"title":"Accessibility and Response Time Analysis on the COVID19 Website in Indonesia","authors":"Ryan Wicaksono, Hilal Hudan Nuha","doi":"10.1109/ICoICT52021.2021.9527410","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527410","url":null,"abstract":"Ping is a computer network utility software used to test the reliability of hosts on IP (Internet Protocol). This is used to measure the time sent from the host to the destination computer or central computer. Ping operates by sending the Internet Control Message Protocol (ICMP). Traceroute is used to show the route the packet passes to reach the destination or route diagnostic tool. This process is done by sending the message Internet Control Message Protocol (ICMP) Echo Request_ to the destination with the value of Time to Live or commonly referred to as TTL which is increasing. The route shown is a list of router interfaces found on the path between the host and destination. The purpose of pinging and traceroute is to find out the status of up or down in the network. With traceroute, we can analyze information about the location of the router.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117054917","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}
{"title":"T-COFFEE Multiple Sequence Aligner on Hadoop Spark Cluster","authors":"Viebiyanty Prihatiningrum, Setyorini, S. Karimah","doi":"10.1109/ICoICT52021.2021.9527471","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527471","url":null,"abstract":"DNA (Deoxyribose Nucleid Acid) is a series of nucleotide acid proteins that exist in the organism body where DNA will be identical with inheritance. The sequence alignment mechanism is one of the most important methods in finding a match between DNA sequences. This mechanism is also used in the mechanism for making vaccines, where the process takes a large portion of the time. Parallel and distributed systems exist to solve this problem. One of them is using the Hadoop platform, which is currently being used for processing biological data. The making of the COVID-19 vaccine is one example of the implementation of using a distributed and parallel system model, so that the manufacturing process can be done in a fairly short time. In this study, we used MSA (Multiple Sequence Alignment) where one of the algorithms which has a high accuracy value is T-COFFEE (Tree Based Consistency Objective Function for Alignment Evaluation) algorithm. T-COFFEE is an algorithm for multiple sequences which is very suitable for finding similarities in DNA data by focusing on very high accuracy values. Besides having a high accuracy value, T-COFFEE requires a very long time to process. So this research did implementation of T-COFFEE on hadoop parallelization using Spark which has been proven to reduce the execution time.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117207421","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}
Inna Syafarina, Ayu Shabrina, A. Latifah, D. Adytia
{"title":"Evaluation of the Social Restriction and its Effect to the COVID-19 Spread in Indonesia","authors":"Inna Syafarina, Ayu Shabrina, A. Latifah, D. Adytia","doi":"10.1109/ICoICT52021.2021.9527524","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527524","url":null,"abstract":"The government of Indonesia has implemented a Large-Scale Social Restriction (LSSR/PSBB) of various levels, in the local and national region to control the COVID-19 transmission over the country. Successful social restrictions are believed as a powerful way in controlling COVID-19 spread. This paper evaluated the social restriction that has been implemented in Indonesia and its connection to the spread of COVID-19 in the period 15 February 2020 to 10 January 2021. The social restriction is quantified by the changes in human movement, while the spread of COVID-19 is computed by a growth rate and doubling time of the COVID-19 cases. A statistic measure by linear regression is applied to investigate the dependency of the COVID-19 spread and human movement. This paper showed the social restriction reduced human mobility up to more than 50% when the restriction was started. It flattened the cases but it only lasted for approximately two months. Afterward, the growth rate and the doubling time showed an increase of the COVID-19 cases and it was getting much worse starting at the end of the year 2020. Moreover, we found that the implemented social restriction in Indonesia is less effective to reduce the COVID-19 spread in Indonesia as human mobility during a holiday, an especially long weekend is much stronger.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"64 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120817718","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}
G. Anggadwita, Erni Martini, R. Hendayani, Muhammad Rafi Kamil
{"title":"The Role of Technology and Innovation Capabilities in Achieving Business Resilience of MSMEs During Covid-19: Empirical Study","authors":"G. Anggadwita, Erni Martini, R. Hendayani, Muhammad Rafi Kamil","doi":"10.1109/ICoICT52021.2021.9527464","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527464","url":null,"abstract":"The purpose of this study was to identify the role of technology and innovation capabilities in the resilience of Micro, Small and Medium Enterprises (MSMEs) during the Covid-19 pandemic. In addition, it examined the mediating role of innovation capability on the relationship between technology capability and business resilience. This quantitative study used a causality approach and a structural equation model to examine, predict and estimate the relationships between the variables. For this reason, as many as 400 MSME owners in Jakarta, Indonesia were surveyed using a random sampling technique. The results indicated that technology and innovation capabilities have a positive and significant effect on the business resilience of MSMEs during the Covid-19 pandemic. Besides, innovation capability was also proven to play a significant role as the mediator in the relationship between technology capability and business resilience. This study emphasizes the importance of the business resilience concept as well as increasing technology and innovation capabilities of MSMEs in dealing with the Covid-19 pandemic.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124036818","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}
Dedi Gunawan, Yusuf Sulistyo Nugroho, Maryam, Fatah Yasin Al Irsyadi
{"title":"Anonymizing Prescription Data Against Individual Privacy Breach in Healthcare Database","authors":"Dedi Gunawan, Yusuf Sulistyo Nugroho, Maryam, Fatah Yasin Al Irsyadi","doi":"10.1109/ICoICT52021.2021.9527430","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527430","url":null,"abstract":"Prescription data is a subset of the health-related data which can be collected by drug store during the patient's medication period. In general, prescription data consists of a set of transaction records which contains patients name or patient’s identification number and their prescribed medicine name. Analyzing such data using data mining techniques brings various advantages for drug stores. However, performing data mining task is not trivial for the drug stores and possibly the drug store dispatches the prescription data to another party for data analysis. While it can solve the data analysis problem, unfortunately, such activity may result in privacy breach since sensitive information i.e., types of patients' disease due to the data miner has background knowledge to infer certain medicine to the disease type. To guarantee individual privacy protection while at the same time preserving database utility a method called data anonymization should be employed prior to handling the prescription data to another party for data mining purpose. A data anonymization which is based on swapping technique can be a solution to address the problem. Experimental results show that the swapping method successfully protects individual privacy with respect to reduce the number of item lost and maintain data utility of the anonymized database.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"63 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127408571","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}