2020 8th International Conference on Information and Communication Technology (ICoICT)最新文献_第2页

Macroscopic Wood Blurred Image Analysis to Determine The Factors of Causing Blur 宏观木材模糊图像分析，确定造成模糊的因素

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166205

D. T. Barus, P. H. Gunawan, E. Prakasa

引用次数: 1

Mobile-Based Hospital Recommendation According To Patient Needs Using SAW Method (Case Study: Banda Aceh) 使用SAW方法根据患者需求推荐基于移动设备的医院(案例研究:班达亚齐)

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166365

Raedi Alwafi Isril, D. Junaedi, A. Herdiani

{"title":"Mobile-Based Hospital Recommendation According To Patient Needs Using SAW Method (Case Study: Banda Aceh)","authors":"Raedi Alwafi Isril, D. Junaedi, A. Herdiani","doi":"10.1109/ICoICT49345.2020.9166365","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166365","url":null,"abstract":"To get the appropriate treatment, there are still obstacles in determining which hospital should be chosen, because it often does not suit the needs/conditions of the patient. Also, more time is needed to determine the hospital. So, a tool is needed to choose a hospital by considering the patient’s needs and speeding up the process of determining the destination hospital. Several criteria are taken into consideration in choosing a hospital, namely: facilities, insurance, fees, availability of specialist doctors and distance. Simple Additive Weighting is used because it can make recommendations from several criteria and has a faster processing time than other methods. This system is built on a mobile basis because most people already have a smartphone, in addition to getting information on the value of the distance from the user’s location to the hospital. Based on the results of testing, the average time needed by the system to produce hospital recommendations is 28.99 seconds. Based on the comparison of recommendations from experts and systems for 51 test cases, the similarity level was 88.24%. With these results, the system managed to provide hospital recommendations based on patient needs.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116318569","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}

引用次数: 0

Comparison of Earliest Deadline First and Rate Monotonic Scheduling in Polling Server 轮询服务器中最早期限优先调度与速率单调调度的比较

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166334

Zeyhan Aliyah, R. M. R. Pambudhi, Abdan Hafidh Ahnafi, H. Nuha, Sidik Prabowo

引用次数: 2

Implicit Aspect Extraction in Product Reviews Using FIN Algorithm 基于FIN算法的产品评论隐式方面提取

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166296

Diah Hevyka Maylawati, W. Maharani, I. Asror

{"title":"Implicit Aspect Extraction in Product Reviews Using FIN Algorithm","authors":"Diah Hevyka Maylawati, W. Maharani, I. Asror","doi":"10.1109/ICoICT49345.2020.9166296","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166296","url":null,"abstract":"Online transactions are growing very rapidly right now. Every online transaction is often accompanied by a review. Product reviews from buyers can be used by sellers as feedback. Product reviews provide information as a consideration for decision making for potential buyers to find out the strengths and weaknesses of the product. Identifying specific product features from reviews written by buyers becomes a solution to make it easier to find information. Aspect-based extraction in sentiment analysis is divided into two, explicit aspects and implicit aspects. The explicit aspect is the explicit aspect in the sentence while the implicit aspect is the aspect that is implied in the sentence. The extraction carried out in this study is based on implicit aspects to determine its features because the majority of existing studies extract explicit aspects. Implicit extraction aspects of product reviews using the FIN algorithm in association rule mining. The dataset is in English text where to extract features using TF-IDF and select features using Particle Swarm optimization. Selected features are grouped using k-Means. After features are grouped based on their value, an associative rule is made using the FIN algorithm. The minimum support value applied and the number of sentence variations cause the accuracy value obtained by 0.678.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127271391","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}

引用次数: 2

An optimization Model of Vertical Evacuation Scenario on Tsunami Disaster Mitigation 基于海啸减灾的垂直疏散情景优化模型

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166429

R. D. Prayogo, N. Ikhsan

{"title":"An optimization Model of Vertical Evacuation Scenario on Tsunami Disaster Mitigation","authors":"R. D. Prayogo, N. Ikhsan","doi":"10.1109/ICoICT49345.2020.9166429","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166429","url":null,"abstract":"This paper proposes an optimization model to determine the best scenario of tsunami vertical evacuation. The purpose of this study is to mitigate the number of victims in evacuation zones within the available time before tsunami waves reach the coast. The tsunami is wave propagation at high speed as an impact after the earthquakes occurred under the sea. The population in the coastal areas are at risk from tsunami impact. In this study, Padang City is chosen as a case study. In the evacuation plan, the refugees are evacuated to the vertical evacuation structures that have enough height to raise refugees higher than the level of tsunami tide. An optimization model is formulated with linear programming using Matlab, by the objective function is to minimize the evacuation time with the constraints of the estimated time of tsunami arrival, the capacity of each vertical evacuation structures, and the number of refugees. The simulation results show that all refugees are successfully evacuated according to the proportions within available evacuation time. The results of this study can be implemented to support the tsunami disaster mitigation by the Government in Padang City.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132436319","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}

引用次数: 0

Personalized E-Learning Content Based On Felder-Silverman Learning Style Model 基于Felder-Silverman学习风格模型的个性化电子学习内容

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166452

Jeremiah Hasudungan Sihombing, K. A. Laksitowening, Eko Darwiyanto

{"title":"Personalized E-Learning Content Based On Felder-Silverman Learning Style Model","authors":"Jeremiah Hasudungan Sihombing, K. A. Laksitowening, Eko Darwiyanto","doi":"10.1109/ICoICT49345.2020.9166452","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166452","url":null,"abstract":"A Personalization of E-learning can be done by personalize E-learning features, which are learning content and learning activities provided. In this study, E-learning content personalization was carried out based on the Felder Silverman Learning Style Model (FSLSM). FSLSM is a method of classifying learning styles into 4 dimensions, namely perception, processing, input and understanding. FSLSM classifies learning styles using the Index of Learning Styles (ILS) questionnaire, consisting of 44 questions. In the system that was built, the ILS questionnaire was digitized to map E-learning users, based on their learning style. Afterwards, content personalization algorithms were designed, so users could access content that were suitable to their learning styles while using the system, after that learning content was designed for each dimension of the FSLSM with ADDIE modelling, which was the stage for creating E-learning content. To test the designed algorithm, Delphi method was used, which is a method that collects expert opinion on a problem. For system test, System Usability Scale (SUS) method was used to measure acceptance of user. The results of this research, getting agreement on the accuracy of the design of content personalization algorithms from 3 E-learning experts, the system that was built got SUS 75.33 which was acceptable with grade B, means the system was accepted as a learning tools to help them in learning process based on SUS assessment.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132325130","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}

引用次数: 9

Experimental Exploratory of Temporal Sampling Forest in Forest Fire Regression and Classification 森林火灾回归分类中时间采样森林的实验探索

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166231

Yee Jian Chew, S. Ooi, Y. Pang

引用次数: 2

The Concave n-Square Salient Wood Image-based Quality Assessment 基于凹n方凸形木材图像的质量评价

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166302

Risnandar, E. Prakasa, I. M. Erwin

引用次数: 2

Parallel Programming of Churn Prediction Using Gaussian Naïve Bayes 基于高斯的客户流失预测并行编程Naïve贝叶斯

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166319

D. T. Barus, R. Elfarizy, F. Masri, P. H. Gunawan

引用次数: 4

IoT Object Security towards On-off Attack Using Trustworthiness Management 使用可信管理的物联网对象安全面对开-关攻击

2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166169

A. Nasution, V. Suryani, Aulia Arif Wardana

{"title":"IoT Object Security towards On-off Attack Using Trustworthiness Management","authors":"A. Nasution, V. Suryani, Aulia Arif Wardana","doi":"10.1109/ICoICT49345.2020.9166169","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166169","url":null,"abstract":"Internet of Things (IoT) can create the world with the integration of the physical things with the seamlessly network of information purposely to give a sophisticated and smart service for human life. A variety of threats and attacks to IoT object, however, can lead to the misuse of data or information to the IoT objects. One of the attacks is On-off Attack in which the attacker acts not only as an object with a good manner by sending the valid trust value but also sometimes as a bad object by sending invalid one. To respond this action, there is a need for the object security to such attacks. Here the writer used the Trustworthiness Management as a method to cope with this attack. Trustworthiness Management can use the aspect of trust value security as a reference for detecting an attack to the object. In addition, with the support of security system using the authentication provided by MQTT, it is expected that it can provide an additional security. The approach used in this research was the test on On-Off Attack detection directly to the object connected to the network. The results of the test were then displayed on the webpage made using PHP and MySQL database as the storage of the values sent by the object to the server. The test on the On-off Attack detection was successfully conducted with the success level of 100% and the execution to detection took 0.5518318 seconds. This then showed that Trustworthiness Management can be used as one of the methods to cope with On-off Attack.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114287569","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}

引用次数: 5