Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632920
Y. Sari, A. Baskara, Rika Wahyuni
Chili is a type of vegetable that has a very high economic value. The problem that often occurs in chili plants is that many agricultural losses are caused by disease. Plant diseases are always considered a very serious problem in all countries because economic growth is largely dependent on the agricultural sector in developing countries. In some plant, diseases sometimes caused by bacteria, viruses and fungi. To anticipate this problem, a method designed into a classification system for diagnosing chili leaf disease by applying the Gray Level Cooccurrence Matrix (GLCM) feature extraction method. Then classified using the Support Vector Machine (SVM) method. The output classification of disease diagnoses in chili obtained an overall accuracy level of 88%. The results obtained prove that the method of extracting the features of Gray Level Co-occurrence Matrix (GLCM) and Support Vector Machine (SVM) can be applied to diagnosing chili plants disease.
{"title":"Classification of Chili Leaf Disease Using the Gray Level Co-occurrence Matrix (GLCM) and the Support Vector Machine (SVM) Methods","authors":"Y. Sari, A. Baskara, Rika Wahyuni","doi":"10.1109/ICIC54025.2021.9632920","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632920","url":null,"abstract":"Chili is a type of vegetable that has a very high economic value. The problem that often occurs in chili plants is that many agricultural losses are caused by disease. Plant diseases are always considered a very serious problem in all countries because economic growth is largely dependent on the agricultural sector in developing countries. In some plant, diseases sometimes caused by bacteria, viruses and fungi. To anticipate this problem, a method designed into a classification system for diagnosing chili leaf disease by applying the Gray Level Cooccurrence Matrix (GLCM) feature extraction method. Then classified using the Support Vector Machine (SVM) method. The output classification of disease diagnoses in chili obtained an overall accuracy level of 88%. The results obtained prove that the method of extracting the features of Gray Level Co-occurrence Matrix (GLCM) and Support Vector Machine (SVM) can be applied to diagnosing chili plants disease.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114979644","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 : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632934
Muhammad Yoma Putra Perdana, Arini, Andrew Fiade, Iik Muhamad Malik Matin
Financing is very important in running a company's business processes. However, in the process, financing is often an obstacle when an organization handles many projects simultaneously. XYZ company is a construction finance company that handles four different projects. Some of the projects are supervised by the same supervisor, making the supervisory function not run optimally. In addition, the budget plan is still made using the manual method. This makes it difficult for decision holders to determine the right budget allocation. As a result, the budget allocation for each existing project is not optimal. This problem can be solved if XYZ company has a decision support system. In this paper, we develop a decision support system based on Fuzzy Multi-Criteria Decision Making (FMCDM). FMCDM is a method of decision-making by determining the best alternative from existing alternatives based on certain criteria. We use 4 decision alternatives with 8 decision consideration criteria. The organization inputs the budget then the system calculates the value of the degree of optimism. Through experiments conducted, it is known that FMCDM is proven to be able to help companies identify conditions in each project so that the best projects can be prioritized to share financing with projects.
{"title":"Fuzzy Multi-Criteria Decision Making for Optimization of Housing Construction Financing","authors":"Muhammad Yoma Putra Perdana, Arini, Andrew Fiade, Iik Muhamad Malik Matin","doi":"10.1109/ICIC54025.2021.9632934","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632934","url":null,"abstract":"Financing is very important in running a company's business processes. However, in the process, financing is often an obstacle when an organization handles many projects simultaneously. XYZ company is a construction finance company that handles four different projects. Some of the projects are supervised by the same supervisor, making the supervisory function not run optimally. In addition, the budget plan is still made using the manual method. This makes it difficult for decision holders to determine the right budget allocation. As a result, the budget allocation for each existing project is not optimal. This problem can be solved if XYZ company has a decision support system. In this paper, we develop a decision support system based on Fuzzy Multi-Criteria Decision Making (FMCDM). FMCDM is a method of decision-making by determining the best alternative from existing alternatives based on certain criteria. We use 4 decision alternatives with 8 decision consideration criteria. The organization inputs the budget then the system calculates the value of the degree of optimism. Through experiments conducted, it is known that FMCDM is proven to be able to help companies identify conditions in each project so that the best projects can be prioritized to share financing with projects.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129439240","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 : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632912
Gede A. Pradipta, Retantyo Wardoyo, Aina Musdholifah, I. Sanjaya, Muhammad Ismail
Imbalanced class data distribution occurs when the number of examples representing one class is much lower than others. This conditioning affects the prediction accuracy degraded on minority data. To overcome this problem, Synthetic Minority Oversampling Technique (SMOTE) is a pioneer oversampling method in the research community for imbalanced classification. The basic idea of SMOTE is oversampled by creating a synthetic instance in feature space formed by the instance and its K-nearest neighbors due to the ability to avoid overfitting and assist the classifier in finding decision boundaries between classes. In this paper, we review current issue and problem occurs in classification with imbalanced data, performance evaluation in imbalanced data, a survey on an extension of SMOTE in recent years, and finally identify current challenges and future work in learning with imbalanced data.
{"title":"SMOTE for Handling Imbalanced Data Problem : A Review","authors":"Gede A. Pradipta, Retantyo Wardoyo, Aina Musdholifah, I. Sanjaya, Muhammad Ismail","doi":"10.1109/ICIC54025.2021.9632912","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632912","url":null,"abstract":"Imbalanced class data distribution occurs when the number of examples representing one class is much lower than others. This conditioning affects the prediction accuracy degraded on minority data. To overcome this problem, Synthetic Minority Oversampling Technique (SMOTE) is a pioneer oversampling method in the research community for imbalanced classification. The basic idea of SMOTE is oversampled by creating a synthetic instance in feature space formed by the instance and its K-nearest neighbors due to the ability to avoid overfitting and assist the classifier in finding decision boundaries between classes. In this paper, we review current issue and problem occurs in classification with imbalanced data, performance evaluation in imbalanced data, a survey on an extension of SMOTE in recent years, and finally identify current challenges and future work in learning with imbalanced data.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128450693","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 : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632932
R. E. Indrajit, Marsetio Marsetio, R. Gultom, P. Widodo, R. W. Putro, Pantja Djati, Siswo Hadi, B. Pramono, L. Simbolon
The pendulum of threats to national defense has shifted to the cyber realm. War no longer uses a conventional approach based on physical attacks but has shifted to a virtual activity in cyberspace. The occurrence of cyber wars between various countries shows how serious this phenomenon is in the modern age. This research focuses on studying various cross-border cyber-attacks that have occurred with the aim of categorizing them based on their common characteristics. The methodology used is a literature study of various case studies that occurred in the past. Approximately thirty publications containing case reports related to the main data in the study. The results show that there are nine types of cyber threat categories to state land and national security.
{"title":"The Taxonomy of Cyber Threats to National Defense and Security","authors":"R. E. Indrajit, Marsetio Marsetio, R. Gultom, P. Widodo, R. W. Putro, Pantja Djati, Siswo Hadi, B. Pramono, L. Simbolon","doi":"10.1109/ICIC54025.2021.9632932","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632932","url":null,"abstract":"The pendulum of threats to national defense has shifted to the cyber realm. War no longer uses a conventional approach based on physical attacks but has shifted to a virtual activity in cyberspace. The occurrence of cyber wars between various countries shows how serious this phenomenon is in the modern age. This research focuses on studying various cross-border cyber-attacks that have occurred with the aim of categorizing them based on their common characteristics. The methodology used is a literature study of various case studies that occurred in the past. Approximately thirty publications containing case reports related to the main data in the study. The results show that there are nine types of cyber threat categories to state land and national security.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130810153","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 : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632953
Siska Puspitaningsih, Suryono, Farikhin
There are many diseases and disorders in pregnancy that can lead to an emergency pregnancy. Delays in recognizing and making a diagnosis, delays in making decisions and delays in making referrals are three causes of higher maternal and infant mortality' rates. Several problems with delays in the diagnosis and referral process have become very important discussions and solutions must be sought. Because good referral management is the key to reducing maternal and infant mortality. Likewise, establishing the right pregnancy diagnosis when it is not too late is one of the efforts to prevent pregnancy emergencies. This study aims to design and implement a rule-based expert system forward chaining method for emergency pregnancy referrals and to measure the level of system accuracy based on the results of validation tests. The input of this research is symptom data which is then processed using a rule-based expert system forward chaining and produces output information on the type of disease and the place of reference. The results of the validation test, the probability- value of the system accuracy is 78.4% and the system inaccuracy is 21.6% so that this reference application can be declared to be running well.
{"title":"Design and Implementation of an Emergency Pregnancy Referral System Using Rule-Based Expert System Forward Chaining Method","authors":"Siska Puspitaningsih, Suryono, Farikhin","doi":"10.1109/ICIC54025.2021.9632953","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632953","url":null,"abstract":"There are many diseases and disorders in pregnancy that can lead to an emergency pregnancy. Delays in recognizing and making a diagnosis, delays in making decisions and delays in making referrals are three causes of higher maternal and infant mortality' rates. Several problems with delays in the diagnosis and referral process have become very important discussions and solutions must be sought. Because good referral management is the key to reducing maternal and infant mortality. Likewise, establishing the right pregnancy diagnosis when it is not too late is one of the efforts to prevent pregnancy emergencies. This study aims to design and implement a rule-based expert system forward chaining method for emergency pregnancy referrals and to measure the level of system accuracy based on the results of validation tests. The input of this research is symptom data which is then processed using a rule-based expert system forward chaining and produces output information on the type of disease and the place of reference. The results of the validation test, the probability- value of the system accuracy is 78.4% and the system inaccuracy is 21.6% so that this reference application can be declared to be running well.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123566900","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 : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632973
M. Hasibuan, Nathan Nurdadyansyah, Muhammad Yogi, Arkham Muhammad Naufal, Ana Sabhana Azmy, Cucu Nurhayati
The COVID-19 pandemic has changed the way people live throughout the world. One way to spread the COVID-19 virus is through crowds that can be found in shopping centres, such as malls. Mall control during the pandemic is very difficult if you do not use information technology because it can cause crowds. This study proposes to build a smart mall model that is able to overcome the crowd. A Smart Mall consists of 3 features: smart booking, smart tracking, and smart payments. The booking feature provides booking services to visitors before coming to the mall, which is to ensure the existence of the mall according to its capacity. The tracking feature provides monitoring of the presence of mall visitors to provide directions and monitor visitors within the given time limit, and the payments feature provides a non-cash payment method to create a sense of security from cash transactions.
{"title":"Smart Mall to Reduce Crowds During the COVID-19 Pandemic","authors":"M. Hasibuan, Nathan Nurdadyansyah, Muhammad Yogi, Arkham Muhammad Naufal, Ana Sabhana Azmy, Cucu Nurhayati","doi":"10.1109/ICIC54025.2021.9632973","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632973","url":null,"abstract":"The COVID-19 pandemic has changed the way people live throughout the world. One way to spread the COVID-19 virus is through crowds that can be found in shopping centres, such as malls. Mall control during the pandemic is very difficult if you do not use information technology because it can cause crowds. This study proposes to build a smart mall model that is able to overcome the crowd. A Smart Mall consists of 3 features: smart booking, smart tracking, and smart payments. The booking feature provides booking services to visitors before coming to the mall, which is to ensure the existence of the mall according to its capacity. The tracking feature provides monitoring of the presence of mall visitors to provide directions and monitor visitors within the given time limit, and the payments feature provides a non-cash payment method to create a sense of security from cash transactions.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"250 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132457603","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 : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632862
Mohamad Ikbal Albana, A. Baidun, Rena Latifa, M. Rahmah, Agus Nugraha, Gefarina Djohan
Customer loyalty of Online transportation application based on information technology increased during the Covid-19 pandemic. Customers continue to use Online transportation application in carrying out daily mobility to avoid exposure to the Covid-19 virus. The research aims to prove the influence of brand trust, service quality, and religiosity on customer loyalty of Online transportation application based on information technology. This research uses a quantitative approach. The study sample amounted to 303 users of Online transportation application Sampling technique application service using accidental sampling. Instruments measuring customer loyalty using measuring instruments from Mcmullan and Gillmore [14], Brand Trust Scale (BTS) from Delgado-Bellester [3], Service quality (Servqual) developed parasuraman [17], and The Centrality of Religiousness Scale (CRS) developed by Huber and Huber [8]. Data analysis techniques use multiple regressions. The results of the analysis proved that the null hypothesis was rejected, meaning that there was a significant influence on brand trust, service quality, and religiosity on customer loyalty with a significance level of 0.000 (P<0.05) and R square showing 0.580 or 58 %. Based on regression coefficients show that brand reliability, responsiveness and public practices significantly affect customer loyalty of Gojek-based information technology-based application services.
{"title":"The Predictor of Costumer Loyalty of Online-Based Transportation Application","authors":"Mohamad Ikbal Albana, A. Baidun, Rena Latifa, M. Rahmah, Agus Nugraha, Gefarina Djohan","doi":"10.1109/ICIC54025.2021.9632862","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632862","url":null,"abstract":"Customer loyalty of Online transportation application based on information technology increased during the Covid-19 pandemic. Customers continue to use Online transportation application in carrying out daily mobility to avoid exposure to the Covid-19 virus. The research aims to prove the influence of brand trust, service quality, and religiosity on customer loyalty of Online transportation application based on information technology. This research uses a quantitative approach. The study sample amounted to 303 users of Online transportation application Sampling technique application service using accidental sampling. Instruments measuring customer loyalty using measuring instruments from Mcmullan and Gillmore [14], Brand Trust Scale (BTS) from Delgado-Bellester [3], Service quality (Servqual) developed parasuraman [17], and The Centrality of Religiousness Scale (CRS) developed by Huber and Huber [8]. Data analysis techniques use multiple regressions. The results of the analysis proved that the null hypothesis was rejected, meaning that there was a significant influence on brand trust, service quality, and religiosity on customer loyalty with a significance level of 0.000 (P<0.05) and R square showing 0.580 or 58 %. Based on regression coefficients show that brand reliability, responsiveness and public practices significantly affect customer loyalty of Gojek-based information technology-based application services.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131179388","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 : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632997
M. G. Langgawan Putra, Rama Yogaswara, M. I. Alfani Putera
User experience (UX) is a form of user’s perspective, their psychological reaction also their response on how they’re using a product, service, or system. Every system should have a good UX in order to minimize user confusion and getting good feedback from the user. However, from the questionnaire that distributed to 103 users of Kalimantan Institute of Technology’s integrated information system, several problems were found. The goal of this study is to find a problem that being mutually agreed by the users, and to prove is UX is affecting the user’s understanding rate on using this system. The result of this study found that 321 respondents out of a total of 350 agreed the problem that mutually agreed by the user is on the credible aspect from UX Honeycomb, there are a lot of inaccessible information or a page that didn’t show any information, with the approval rate of 91,71%. This study also found that UX is affecting user’s understanding rate on using this system, which mean the better the UX, the better user’s understanding rate on using this system.
{"title":"Analysis Effect of User Experience on Understanding Rate of Student Using Academic Information System in Higher Education with Honeycomb Method","authors":"M. G. Langgawan Putra, Rama Yogaswara, M. I. Alfani Putera","doi":"10.1109/ICIC54025.2021.9632997","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632997","url":null,"abstract":"User experience (UX) is a form of user’s perspective, their psychological reaction also their response on how they’re using a product, service, or system. Every system should have a good UX in order to minimize user confusion and getting good feedback from the user. However, from the questionnaire that distributed to 103 users of Kalimantan Institute of Technology’s integrated information system, several problems were found. The goal of this study is to find a problem that being mutually agreed by the users, and to prove is UX is affecting the user’s understanding rate on using this system. The result of this study found that 321 respondents out of a total of 350 agreed the problem that mutually agreed by the user is on the credible aspect from UX Honeycomb, there are a lot of inaccessible information or a page that didn’t show any information, with the approval rate of 91,71%. This study also found that UX is affecting user’s understanding rate on using this system, which mean the better the UX, the better user’s understanding rate on using this system.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122836656","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 : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632904
Yosua Bisma Putrapratama, William Adjandra, Adhitia Wiraguna, D. I. Sensuse, Nadya Safitri
The software development process often faces some problems. In finding solutions for the problems, software development teams often seek previous knowledge. The main problem from the case study is searching for previous knowledge that fits the context of the problem at hand. In fact, the search process to find previous knowledge took a long time and the results are not appropriate. The methodology used in this research is qualitative research using Systematic Literature Review, data triangulation, and Design Sprint. This research provides a system design for the reuse of knowledge that results from associations between best practices and practices in organizations. The proposed system has several features to support better knowledge reuse processes in PT XYZ. The features of the proposed system are dashboard, search knowledge, knowledge detail, knowledge graph, create knowledge, and profile.
{"title":"Knowledge Reuse Evaluation in Software Development: A Case Study on a Startup Company","authors":"Yosua Bisma Putrapratama, William Adjandra, Adhitia Wiraguna, D. I. Sensuse, Nadya Safitri","doi":"10.1109/ICIC54025.2021.9632904","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632904","url":null,"abstract":"The software development process often faces some problems. In finding solutions for the problems, software development teams often seek previous knowledge. The main problem from the case study is searching for previous knowledge that fits the context of the problem at hand. In fact, the search process to find previous knowledge took a long time and the results are not appropriate. The methodology used in this research is qualitative research using Systematic Literature Review, data triangulation, and Design Sprint. This research provides a system design for the reuse of knowledge that results from associations between best practices and practices in organizations. The proposed system has several features to support better knowledge reuse processes in PT XYZ. The features of the proposed system are dashboard, search knowledge, knowledge detail, knowledge graph, create knowledge, and profile.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131589308","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 : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632992
J. Nisa, M. Desfandi, T. Suryaningsih
As the components affected by the hazard, mitigation and community preparedness are essential in minimizing the flood hazard. This study is aimed at mapping the community participation in flood mitigation and preparedness in South Tangerang to be then developed to be a mapping system of South Tangerang through WebGIS. The approach of this study aimed at mapping the level of community participation in flood preparedness and mitigation through WebGIS is using Waterfall method as the system development method. The study shows that WebGIS used to map the level of community participation in flood preparedness and mitigation in South Tangerang has passed a system test that shows the strengths of the developed system where it can be used to find some information related to the physical and social data of the sub-districts in the city that can be accessed whenever and wherever as long as the internet access is available. The developed WebGIS can be used by the community, but can also be a consideration for the government in designing programs to overcome flood problems in South Tangerang.
{"title":"Development of WebGIS of the Level of Community Participation in Flood Mitigation and Preparedness","authors":"J. Nisa, M. Desfandi, T. Suryaningsih","doi":"10.1109/ICIC54025.2021.9632992","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632992","url":null,"abstract":"As the components affected by the hazard, mitigation and community preparedness are essential in minimizing the flood hazard. This study is aimed at mapping the community participation in flood mitigation and preparedness in South Tangerang to be then developed to be a mapping system of South Tangerang through WebGIS. The approach of this study aimed at mapping the level of community participation in flood preparedness and mitigation through WebGIS is using Waterfall method as the system development method. The study shows that WebGIS used to map the level of community participation in flood preparedness and mitigation in South Tangerang has passed a system test that shows the strengths of the developed system where it can be used to find some information related to the physical and social data of the sub-districts in the city that can be accessed whenever and wherever as long as the internet access is available. The developed WebGIS can be used by the community, but can also be a consideration for the government in designing programs to overcome flood problems in South Tangerang.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124924809","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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