2021 International Conference on ICT for Smart Society (ICISS)最新文献

Image Classification Using TensorFlow GPU 使用TensorFlow GPU进行图像分类

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9532500

Derrick Yeboah, Mahamat Saleh Adoum Sanoussi, George Kofi Agordzo

引用次数: 1

Smart Government using Digital Twin in Japan 日本使用数字孪生的智能政府

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533190

T. Obi, Naoko Iwasaki

引用次数: 4

SEMPIR : Sequence Multiple Point of Interest Recommender System for Overland Tourism 陆上旅游序列多兴趣点推荐系统

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533194

S. Suakanto, R. Andreswari, Erza Putra Albasori

{"title":"SEMPIR : Sequence Multiple Point of Interest Recommender System for Overland Tourism","authors":"S. Suakanto, R. Andreswari, Erza Putra Albasori","doi":"10.1109/ICISS53185.2021.9533194","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533194","url":null,"abstract":"Recommender system is a tool that can help human find their preferences from a massive amount of data based. One of the practical implementation is for geogprahical recommender system. In this study, we propose such as geographical recommender system that recommend multiple Point of Interest (POI) in sequence manner. The usage of this method is for overland tourism. Overlan tourisme is one type of tourism that is currently chosen by many travelers or tourists. Tourists who choose the overland method tend to use a long time to visit several destination objects for a long time. The traveler will choose to start from one city and end in another city. Throughout the trip from the city, a traveler will visit several destination objects. Some travelers have problem when they want to plan their itenary or travel plans within in certain constrains such as certain budget. They find it difficult to visit anything and anywhere within the available budget. This research propose some algoritm solution to solve this problem by developing a recommendation system in list of tourist destinations with a constraint on the budget. The proposed method have several stages. One of the important stages is selecting a list of recommended destination object to be visited. This algorithm would produce set or list of recommended tourist in sequence of destination according to the available budget for a certain duration of time.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127528159","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

Prototype Development of Onboard Training Monitoring System for Merchant Marine Polytechnic Students 商船职业技术学院学生船上训练监控系统的原型开发

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9532499

Akhmad Kasan Gupron, Rizqiya Windy Saputra, Putri Rizkiah

{"title":"Prototype Development of Onboard Training Monitoring System for Merchant Marine Polytechnic Students","authors":"Akhmad Kasan Gupron, Rizqiya Windy Saputra, Putri Rizkiah","doi":"10.1109/ICISS53185.2021.9532499","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9532499","url":null,"abstract":"Indonesia has many huge challenges in maritime sector as it rank second after Canada as a country that has the longest coastline in the world. The challenges are not only in terms of economic and socio-culture, development and implementation of related technology, or the development of human resources itself but also include all community aspect in country. Merchant Marine Polytechnic Malahayati Aceh is a an educational institution under the Ministry of Transportation of Indonesia which is tasked with educating and training of maritime affairs. Onboard Training is as an educational activity outside the campus by participating in national and international sailing. The role of educational institutions in monitoring the activities of cadets when practicing outside the campus environment is currently being neglected by many factors. This Research are intending to explore the problems appear during training process, from the preparation and registration section, onboard section and after training. The purpose of the research is providing collage the information of cadets during onboard training and reducing knowledge gap between collage and maritime industry with monitoring system application.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122839128","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

Student Study Timeline Prediction Model Using Naïve Bayes Based Forward Selection Feature 基于Naïve Bayes前向选择特征的学生学习时间预测模型

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9532502

Fitri Nuraeni, Yoga Handoko Agustin, Sri Rahayu, D. Kurniadi, Y. Septiana, Sri Mulya Lestari

引用次数: 3

Implementation of Efficient Anonymous Certificate-Based Multi-Message and Multi-Receiver Signcryption On Raspberry Pi-Based Internet of Things Monitoring System 在基于树莓派的物联网监控系统上实现基于匿名证书的高效多信息和多接收器签名加密

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533214

Muhammad Fadhillah Fajari, Dion Ogi

引用次数: 0

IT Governance Framework for Academic Information System at Higher Education Institutions: A Systematic Literature Review 高等院校学术信息系统的IT治理框架:系统文献综述

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533213

M. Julianti, F. Gaol, B. Ranti, S. Supangkat

{"title":"IT Governance Framework for Academic Information System at Higher Education Institutions: A Systematic Literature Review","authors":"M. Julianti, F. Gaol, B. Ranti, S. Supangkat","doi":"10.1109/ICISS53185.2021.9533213","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533213","url":null,"abstract":"Improving the quality of information technology-based higher education institutions is a must to realizing a transparent, accountable and professional education system and refers to the achievement of higher education institutions (HEI) vision. The role of information technology greatly influences the process of HEI governance, so that HEI must have an information system framework to support ongoing business processes and can be accessed anytime and anywhere by stakeholders who need it. This study aims to analyze the extent to which higher education institutions implement academic information system governance to support information technology-based education services using the COBIT (Control Objectives for Information and Related Technology) framework approach. Using a systematic literature review method, the author will discuss how to manage the integration of academic information systems with IT governance in higher education institution. The expected result of this research is how to know the role of IT governance in achieving better and more effective academic information system performance towards the alignment of strategic business objectives with the implementation of IT in the HEI environment.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131405151","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: 1

Evaluating Deep Learning for CT Scan COVID-19 Automatic Detection 深度学习在CT扫描COVID-19自动检测中的应用

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533224

Aimee Putri Hartono, Callista Roselynn Luhur, Clarissa Angelita Indriyani, Claudia Rachel Wijaya, N. N. Qomariyah, A. A. Purwita

{"title":"Evaluating Deep Learning for CT Scan COVID-19 Automatic Detection","authors":"Aimee Putri Hartono, Callista Roselynn Luhur, Clarissa Angelita Indriyani, Claudia Rachel Wijaya, N. N. Qomariyah, A. A. Purwita","doi":"10.1109/ICISS53185.2021.9533224","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533224","url":null,"abstract":"Aside from Reverse Transcription Polymerase Chain Reaction (RT-PCR), another common method to check for the 2019 novel Coronavirus disease (COVID-19) is by using a chest CT scan. Imaging data is profoundly useful in the diagnosis, detection of complications, and prognostication of COVID-19, displaying various spots in the lungs affected by the viral infection. The complex results often require some time before radiologists can analyze them and are more prone to human errors. Inventions of medical assisting tools, through enhancement of artificial intelligence, are crucial in fighting the COVID-19 pandemic through automation of classifications and the future of medicine. To overcome the above challenges, this paper aims to propose and evaluate the performance between Convolution Neural Network (CNN) and Transfer Learning (TL) in the detection of COVID-19 infections from a Lung CT Scan. Gradient-Weighted Class Activation Mapping (Grad-CAM) will also be utilized to display the infected areas in the lungs for explorative experiments. Transfer-learning using our pre-trained model resulted in a detection accuracy result of 89% while our proposed CNN demonstrated the best result in terms of classification accuracy at 97%. Training time required for the two frameworks are 12 and 22 minutes respectively. By and large, our comparison of using the CNN model versus the pre-trained model gives rise to the conclusion that using the former method proves to be a more effective technique of COVID-19 detection by CT-scan.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115232873","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

Vulnerability Analysis of Wireless LAN Networks Using Penetration Testing Execution Standard: A Case Study of Cafes in Palembang 基于渗透测试执行标准的无线局域网漏洞分析——以巨港咖啡馆为例

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533216

Fairuz Zahirah Lidanta, A. Almaarif, Avon Budiyono

引用次数: 1

A Workspace Design Prediction: Concept Overview Using the Digital Twin 工作空间设计预测:使用数字孪生的概念概述

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533221

Ayu Latifah, S. Supangkat, A. Ramelan, Fachrur Razy Rahman, Moh. Afandy

引用次数: 0