Pub Date : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664876
D. Maylawati, Anjany Risqiati, C. Slamet, M. Ramdhani, N. Lukman, P. Dauni, Nunik Destria Arianti
The purpose of this research is to create a web- based Chatbot application by implementing the Random Forest (RF) algorithm and Rapid Automatic Keyword Extraction (RAKE). The chatbot application will be used to become a virtual tour guide regarding tourist objects in Bandung, Indonesia. This is because the need for information is very important for most people to help and accelerate the work to be done. The data used in this research is a set of data in the form of questions as many as 192 data. The dataset is divided into training and testing data of 150 and 42 data. RF algorithm will work as an intent classifier, and RAKE will work as an entity recognizer to determine the answer to the user. The classification model is evaluated using training and testing data scenarios after the pre-processing process, such as case folding, removing regular expression, word tokenizing, and stop-words removal. The evaluation using the confusion matrix shows that an average accuracy value of the chatbot application using RF and RAKE is 98%, the precision value is 96%, and a recall value is 96%.
{"title":"Chatbot for Virtual Travel Assistant with Random Forest and Rapid Automatic Keyword Extraction","authors":"D. Maylawati, Anjany Risqiati, C. Slamet, M. Ramdhani, N. Lukman, P. Dauni, Nunik Destria Arianti","doi":"10.1109/ICCED53389.2021.9664876","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664876","url":null,"abstract":"The purpose of this research is to create a web- based Chatbot application by implementing the Random Forest (RF) algorithm and Rapid Automatic Keyword Extraction (RAKE). The chatbot application will be used to become a virtual tour guide regarding tourist objects in Bandung, Indonesia. This is because the need for information is very important for most people to help and accelerate the work to be done. The data used in this research is a set of data in the form of questions as many as 192 data. The dataset is divided into training and testing data of 150 and 42 data. RF algorithm will work as an intent classifier, and RAKE will work as an entity recognizer to determine the answer to the user. The classification model is evaluated using training and testing data scenarios after the pre-processing process, such as case folding, removing regular expression, word tokenizing, and stop-words removal. The evaluation using the confusion matrix shows that an average accuracy value of the chatbot application using RF and RAKE is 98%, the precision value is 96%, and a recall value is 96%.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"380 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75549477","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664833
Divya Kaur Bhullar, Natassha Shievanie Selvaraj, Fung Teng Choong, Chen Wan Jing, K. Xiaoxi, D. Handayani, N. Hamzah, M. Lubis, T. Mantoro
The growing number of diabetes cases today are often diagnosed late or even goes unnoticed altogether until it is in a later stage. One of the dominant explanations for this trend is the scarcity of prediction tools and techniques for this disease. Previous research has demonstrated that early prediction of diabetes can lower the risks of major health implications and increase the possibility of making improved treatment decisions for patients. This study attempts to design a model to predict diabetes based on patient’s risk factors and lifestyles. We use data from the National Institute of Diabetes and Digestive and Kidney Diseases to visualise data to understand correlations between 9 variables. We then perform data mining using Logistic Regression, Random Forests and Decision Tree to compare the best performance in accuracy and F1-score. Our findings indicate that the prediction model using the Random Forrest classifier algorithm has the highest accuracy percentage of 79.4% in predicting diabetes compared to the other two classifier algorithms.
{"title":"Developing a Predictive Supervised Machine Learning Models for Diabetes","authors":"Divya Kaur Bhullar, Natassha Shievanie Selvaraj, Fung Teng Choong, Chen Wan Jing, K. Xiaoxi, D. Handayani, N. Hamzah, M. Lubis, T. Mantoro","doi":"10.1109/ICCED53389.2021.9664833","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664833","url":null,"abstract":"The growing number of diabetes cases today are often diagnosed late or even goes unnoticed altogether until it is in a later stage. One of the dominant explanations for this trend is the scarcity of prediction tools and techniques for this disease. Previous research has demonstrated that early prediction of diabetes can lower the risks of major health implications and increase the possibility of making improved treatment decisions for patients. This study attempts to design a model to predict diabetes based on patient’s risk factors and lifestyles. We use data from the National Institute of Diabetes and Digestive and Kidney Diseases to visualise data to understand correlations between 9 variables. We then perform data mining using Logistic Regression, Random Forests and Decision Tree to compare the best performance in accuracy and F1-score. Our findings indicate that the prediction model using the Random Forrest classifier algorithm has the highest accuracy percentage of 79.4% in predicting diabetes compared to the other two classifier algorithms.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84250109","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664841
Oscar Haris, A. Darmawan, Ade Juliansyah
This study aims to compare the electrical power output of the tracker system solar panel with static solar panel. the research process is carried out in Indonesia so that the timing follows Indonesian time besides that this study also aims to find out how effective the use of a solar tracker that is installed on a solar panel is. The benefit of this research is to further increase the output of electric power from solar energy conversion. This is because the solar panel designed in this study are always positioned perpendicular to the direction of the sun's rays so that the light intensity reception becomes more effective.
{"title":"Efficiency Analysis of Using Solar Panel System Tracker to Static Solar Panel","authors":"Oscar Haris, A. Darmawan, Ade Juliansyah","doi":"10.1109/ICCED53389.2021.9664841","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664841","url":null,"abstract":"This study aims to compare the electrical power output of the tracker system solar panel with static solar panel. the research process is carried out in Indonesia so that the timing follows Indonesian time besides that this study also aims to find out how effective the use of a solar tracker that is installed on a solar panel is. The benefit of this research is to further increase the output of electric power from solar energy conversion. This is because the solar panel designed in this study are always positioned perpendicular to the direction of the sun's rays so that the light intensity reception becomes more effective.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"7 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75279825","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664847
Amelia Nuraisyah Quinsi Jemy, Astrid Vanya Octary, Kusherdarsyah Saptaji, Tasya Diana Septiani, Sylvania Mulia Fauziyyah, Rajib Mohammad, D. W. Djamari
Coronavirus disease (COVID-19) pandemic affects plastic waste management all over the world. Plastic wastes from the medical field, such as surgical masks and personal protective equipment are massively dumped and affected human health and environmental. There are several strategies to improve medical plastic waste management, one of them is to do recycling. A plastic shredder is a machine used for cutting plastics into smaller parts called granules or pellets. The focus of this paper is to design a shredding machine used for recycling plastic waste. The outcome of this shredding machine can be used for subsequent plastic processing machines such as extrusion and injection machines. The proposed design is prepared using 3D computer-aided design (CAD) software and uses several sources on the market to make improvements. This paper covers the design, material used, and strength analysis of the machine.
{"title":"Design and Modeling of Shredding Machine for Recycling Plastic Waste","authors":"Amelia Nuraisyah Quinsi Jemy, Astrid Vanya Octary, Kusherdarsyah Saptaji, Tasya Diana Septiani, Sylvania Mulia Fauziyyah, Rajib Mohammad, D. W. Djamari","doi":"10.1109/ICCED53389.2021.9664847","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664847","url":null,"abstract":"Coronavirus disease (COVID-19) pandemic affects plastic waste management all over the world. Plastic wastes from the medical field, such as surgical masks and personal protective equipment are massively dumped and affected human health and environmental. There are several strategies to improve medical plastic waste management, one of them is to do recycling. A plastic shredder is a machine used for cutting plastics into smaller parts called granules or pellets. The focus of this paper is to design a shredding machine used for recycling plastic waste. The outcome of this shredding machine can be used for subsequent plastic processing machines such as extrusion and injection machines. The proposed design is prepared using 3D computer-aided design (CAD) software and uses several sources on the market to make improvements. This paper covers the design, material used, and strength analysis of the machine.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"56 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86575033","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664867
Asad Ullah
Leukemia (ALL) is a form of blood cancer that claimed the lives of 111,000 people worldwide in 2015. Recent advances in deep learning (DL) techniques have made it possible to diagnose Everything using microscopic image analysis. However, as with most medical issues, there are deficiency training samples and visual flaws that distinguish leukaemia from normal. The body is made up of cells, making image analysis a difficult task. To address the aforementioned issues, an augmented image enhanced bagging ensemble learning with elaborately developed training subsets was proposed. The preliminary and final Fl-scores are 0.85 and 0.89, respectively, in the calculated tests. In the Classification of Normal and Malignant WBCs contest, we used our ensemble model predictions and placed in the top ten percent. Our findings show that using Deep learning-based techniques to analyse leukaemia (ALL) cells images can be efficient.
{"title":"Image Analysis of Cells Acute Lymphoblastic Leukemia Using Ensemble Learning of Deep Bagging","authors":"Asad Ullah","doi":"10.1109/ICCED53389.2021.9664867","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664867","url":null,"abstract":"Leukemia (ALL) is a form of blood cancer that claimed the lives of 111,000 people worldwide in 2015. Recent advances in deep learning (DL) techniques have made it possible to diagnose Everything using microscopic image analysis. However, as with most medical issues, there are deficiency training samples and visual flaws that distinguish leukaemia from normal. The body is made up of cells, making image analysis a difficult task. To address the aforementioned issues, an augmented image enhanced bagging ensemble learning with elaborately developed training subsets was proposed. The preliminary and final Fl-scores are 0.85 and 0.89, respectively, in the calculated tests. In the Classification of Normal and Malignant WBCs contest, we used our ensemble model predictions and placed in the top ten percent. Our findings show that using Deep learning-based techniques to analyse leukaemia (ALL) cells images can be efficient.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"125 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76687663","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664871
Oscar Haris, Muhammad Arif Kurniawan, Ahmad Yusuf Ali
The cooling system is an important part of the diesel power generation system (Pembangkit Listrik Tenaga Diesel, PLTD). If the performance of the cooling system is not optimal, it will affect the engine performance and electricity production. One of the problems in the cooling system is the damage to the radiator fins which makes the heat dissipation process in the cooling system not optimal. In conducting this study, the method used to obtain the root cause of the problem is by using the fault tree analysis (FTA) method. Based on the existing data, the results of the study show that the cause of damage to the radiator is due to corrosion. According to this study, it can be concluded that the damage to the PLTD radiator fin is caused by the corrosion factor due to the poor quality of the water used for cleaning.
冷却系统是柴油发电系统(Pembangkit Listrik Tenaga diesel, PLTD)的重要组成部分。如果冷却系统的性能不佳，将影响发动机的性能和发电量。冷却系统存在的问题之一是散热器翅片的损坏，导致冷却系统散热过程不理想。在进行本研究时，使用故障树分析(FTA)方法来获取问题的根本原因。根据现有数据，研究结果表明，散热器损坏的原因是腐蚀。根据本研究，可以得出结论，PLTD散热器翅片的损坏是由于清洗用水质量差造成的腐蚀因素。
{"title":"Analysis of Cooling System Radiator Fault on Diesel Engine Using Fault Tree Analysis (FTA) Method","authors":"Oscar Haris, Muhammad Arif Kurniawan, Ahmad Yusuf Ali","doi":"10.1109/ICCED53389.2021.9664871","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664871","url":null,"abstract":"The cooling system is an important part of the diesel power generation system (Pembangkit Listrik Tenaga Diesel, PLTD). If the performance of the cooling system is not optimal, it will affect the engine performance and electricity production. One of the problems in the cooling system is the damage to the radiator fins which makes the heat dissipation process in the cooling system not optimal. In conducting this study, the method used to obtain the root cause of the problem is by using the fault tree analysis (FTA) method. Based on the existing data, the results of the study show that the cause of damage to the radiator is due to corrosion. According to this study, it can be concluded that the damage to the PLTD radiator fin is caused by the corrosion factor due to the poor quality of the water used for cleaning.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"57 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83894915","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664844
Indriani Wijiastuti, B. Hardian, T. Raharjo, Agus Suhanto
The development of services and products using information technology will support the capital market industry in creating innovation and digital transformation. It will make the capital market business more effective, efficient, secure, and compliant with financial regulation. As one of the SROs (Self-Regulatory Organizations), XYZ has many IT Projects to support that goal. In measuring the success of IT project implementation, XYZ has a key performance indicator (KPI), namely %OTOBOS (On Time On Budget On Scope). However, based on the development project KPI reports in 2020, only 34% of projects met the KPI target of 23 IT projects by the end of 2020. Some IT projects experience delays in the implementation process of their development. This research study identified the critical success factors that significantly influence the success of IT projects. By finding these factors, there is an expectation for improvement when implementing IT Projects in XYZ. This case study research conducted a literature review from previous research studies and literature studies to find the potential CSFs of IT Projects. There are ten potential CSFs in IT projects that would be used in this study. The prioritizing of those CSF was calculated using AHP to rank those factors. This research study used a mixed-method. First, the questionnaire was filled out by 3 SMEs through interviews to know the most influential factor in IT Projects. Then, the results were validated by one of the SMEs. The CSFs were compiled based on the KPI of project success measurement: Scope, Time, and Budget. Based on the calculation of pairwise comparison, the most influential factors are project scope and requirements management, followed by the project management process. The less influential factor is organizational culture.
{"title":"Identifying Critical Success Factor for IT Project Implementation Using Analytical Hierarchy Process: A Case Study of Clearing and Guarantee Corporation in Indonesia","authors":"Indriani Wijiastuti, B. Hardian, T. Raharjo, Agus Suhanto","doi":"10.1109/ICCED53389.2021.9664844","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664844","url":null,"abstract":"The development of services and products using information technology will support the capital market industry in creating innovation and digital transformation. It will make the capital market business more effective, efficient, secure, and compliant with financial regulation. As one of the SROs (Self-Regulatory Organizations), XYZ has many IT Projects to support that goal. In measuring the success of IT project implementation, XYZ has a key performance indicator (KPI), namely %OTOBOS (On Time On Budget On Scope). However, based on the development project KPI reports in 2020, only 34% of projects met the KPI target of 23 IT projects by the end of 2020. Some IT projects experience delays in the implementation process of their development. This research study identified the critical success factors that significantly influence the success of IT projects. By finding these factors, there is an expectation for improvement when implementing IT Projects in XYZ. This case study research conducted a literature review from previous research studies and literature studies to find the potential CSFs of IT Projects. There are ten potential CSFs in IT projects that would be used in this study. The prioritizing of those CSF was calculated using AHP to rank those factors. This research study used a mixed-method. First, the questionnaire was filled out by 3 SMEs through interviews to know the most influential factor in IT Projects. Then, the results were validated by one of the SMEs. The CSFs were compiled based on the KPI of project success measurement: Scope, Time, and Budget. Based on the calculation of pairwise comparison, the most influential factors are project scope and requirements management, followed by the project management process. The less influential factor is organizational culture.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82319220","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664879
Cutifa Safitri, Q. Nguyen, Christoforus Williem Deo Lumoindong, M. A. Ayu, T. Mantoro
Information-Centric Networking (ICN) is among the promising architecture that can drive the need and versatility towards the future generation (xG) needs. In the future, support for network communication relies on the area of telemedicine, autonomous vehicles, and disaster recovery. In the disaster recovery case, there is a high possibility where the communication path is severed. Multicast communication and DTN-friendly route algorithm are becoming suitable options to send a packet message to get a faster response and to see any of the nodes available for service, this approach could give burden to the core network. Also, during disaster cases, many people would like to communicate, receive help, and find family members. Flooding the already disturbed/severed network will further reduce communication performance efficiency even further. Thus, this study takes into consideration prioritization factors to allow networks to process and delivering priority content. For this purpose, the proposed technique introduces the Routable Prefix Identifier (RP-ID) that takes into account the prioritization factor to enable optimization in Delay Tolerant ICN communication.
{"title":"Advanced Forwarding Strategy Towards Delay Tolerant Information-Centric Networking","authors":"Cutifa Safitri, Q. Nguyen, Christoforus Williem Deo Lumoindong, M. A. Ayu, T. Mantoro","doi":"10.1109/ICCED53389.2021.9664879","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664879","url":null,"abstract":"Information-Centric Networking (ICN) is among the promising architecture that can drive the need and versatility towards the future generation (xG) needs. In the future, support for network communication relies on the area of telemedicine, autonomous vehicles, and disaster recovery. In the disaster recovery case, there is a high possibility where the communication path is severed. Multicast communication and DTN-friendly route algorithm are becoming suitable options to send a packet message to get a faster response and to see any of the nodes available for service, this approach could give burden to the core network. Also, during disaster cases, many people would like to communicate, receive help, and find family members. Flooding the already disturbed/severed network will further reduce communication performance efficiency even further. Thus, this study takes into consideration prioritization factors to allow networks to process and delivering priority content. For this purpose, the proposed technique introduces the Routable Prefix Identifier (RP-ID) that takes into account the prioritization factor to enable optimization in Delay Tolerant ICN communication.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"64 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75379600","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664834
Lalit Negi, Lokesh Negi
Nowadays mobile phone becoming one of the most popular communication system. Information shared through this medium is a very sensitive to the users. Hence it is highly needed to secure the message from the intruders. This paper proposed an android based secured system named Steg! developed by combining the cryptography and steganography. Here the algorithm used for cryptography is Advanced Encryption Standard (AES) and Least Significant Bit is used for the steganography. This hybrid approach increases the level of secretion of information from unauthorized the access by encrypting the message and hiding into the image. The application helps the user to hide/unhide the text to/from the image. The proposed system above is proven to be powerful and robust than those system which implements cryptography and steganography alone.
{"title":"Image Steganography Using Steg with AES and LSB","authors":"Lalit Negi, Lokesh Negi","doi":"10.1109/ICCED53389.2021.9664834","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664834","url":null,"abstract":"Nowadays mobile phone becoming one of the most popular communication system. Information shared through this medium is a very sensitive to the users. Hence it is highly needed to secure the message from the intruders. This paper proposed an android based secured system named Steg! developed by combining the cryptography and steganography. Here the algorithm used for cryptography is Advanced Encryption Standard (AES) and Least Significant Bit is used for the steganography. This hybrid approach increases the level of secretion of information from unauthorized the access by encrypting the message and hiding into the image. The application helps the user to hide/unhide the text to/from the image. The proposed system above is proven to be powerful and robust than those system which implements cryptography and steganography alone.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"29 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73323935","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 : 2021-08-05DOI: 10.1109/ICCED53389.2021.9664854
Paikun, Aldi Irawan, E. Suminar, Saepul Bahri, A. Rozandi
This study aims to determine the relationship between the completeness of road infrastructure and the degree of saturation. The phenomenon of a road segment includes frequent traffic jams with a very high degree of saturation. Based on this, this research is important to examine the effect of completeness of road infrastructure on the degree of saturation and performance of roads using the Indonesian Road Capacity Manual method. Based on observations, it is known that most of the roads in Indonesia do not have complete road infrastructure. The results of the analysis show that the completeness of road infrastructure greatly affects the degree of saturation. The saturation level will be higher if the average daily traffic has reached basic capacity without complete road infrastructure. But does not affect if the average daily traffic is still low. Side obstacles such as parking on the shoulder of the road, street vendors, and road damage are factors that greatly affect the degree of saturation. Therefore, it is necessary to prioritize the completeness of road infrastructure, and road maintenance to be free from side obstacles, especially on a road that has a high average daily traffic flow. Roads that have an average daily traffic flow that exceeds the basic capacity, need traffic engineering and install signs to divert the flow to other lanes.
{"title":"Road Infrastructure Completeness Factors on Road Section Performance","authors":"Paikun, Aldi Irawan, E. Suminar, Saepul Bahri, A. Rozandi","doi":"10.1109/ICCED53389.2021.9664854","DOIUrl":"https://doi.org/10.1109/ICCED53389.2021.9664854","url":null,"abstract":"This study aims to determine the relationship between the completeness of road infrastructure and the degree of saturation. The phenomenon of a road segment includes frequent traffic jams with a very high degree of saturation. Based on this, this research is important to examine the effect of completeness of road infrastructure on the degree of saturation and performance of roads using the Indonesian Road Capacity Manual method. Based on observations, it is known that most of the roads in Indonesia do not have complete road infrastructure. The results of the analysis show that the completeness of road infrastructure greatly affects the degree of saturation. The saturation level will be higher if the average daily traffic has reached basic capacity without complete road infrastructure. But does not affect if the average daily traffic is still low. Side obstacles such as parking on the shoulder of the road, street vendors, and road damage are factors that greatly affect the degree of saturation. Therefore, it is necessary to prioritize the completeness of road infrastructure, and road maintenance to be free from side obstacles, especially on a road that has a high average daily traffic flow. Roads that have an average daily traffic flow that exceeds the basic capacity, need traffic engineering and install signs to divert the flow to other lanes.","PeriodicalId":6800,"journal":{"name":"2021 IEEE 7th International Conference on Computing, Engineering and Design (ICCED)","volume":"79 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85532209","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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