2018 International Conference on Computing, Engineering, and Design (ICCED)最新文献_第5页

Hybrid Watermark Fingerprint Algorithm for H.264 Compressed Video Authentication H.264压缩视频认证的混合水印指纹算法

2018 International Conference on Computing, Engineering, and Design (ICCED) Pub Date : 2018-09-01 DOI: 10.1109/ICCED.2018.00056

Kelkoul Houria, Y. Zaz, T. Mantoro

引用次数: 1

Analysis of Success Level and Supporting Factors of IT Outsourcing Implementation: A Case Study at PT Bank Bukopin Tbk IT外包实施的成功水平及支持因素分析——以Bukopin Tbk PT银行为例

2018 International Conference on Computing, Engineering, and Design (ICCED) Pub Date : 2018-09-01 DOI: 10.1109/ICCED.2018.00024

Rizqy Puspitasari, S. Yudhoatmojo, Ika Chandra Hapsari, A. Hidayanto

引用次数: 1

Software Defined Networking (SDN) and its Security Issues 软件定义网络(SDN)及其安全问题

2018 International Conference on Computing, Engineering, and Design (ICCED) Pub Date : 2018-09-01 DOI: 10.1109/ICCED.2018.00018

N. A. Aziz, T. Mantoro, M. Khairudin, A. Murshid

引用次数: 9

Improving Performance and Size Reduction of Truncated Microstrip Antenna Using U Slot for LTE Application 利用U槽提高LTE截短微带天线的性能并减小其尺寸

2018 International Conference on Computing, Engineering, and Design (ICCED) Pub Date : 2018-09-01 DOI: 10.1109/ICCED.2018.00045

S. Alam, Y. K. Ningsih, Anggy Pradiftha Junfithrana, H. Ramza, I. Surjati, Markus Upa

引用次数: 5

University Based Job Recommender & Alumni System 基于大学的工作推荐和校友系统

2018 International Conference on Computing, Engineering, and Design (ICCED) Pub Date : 2018-09-01 DOI: 10.1109/ICCED.2018.00049

Akeem Olowolayemo, Kamaleiah Harun, T. Mantoro

{"title":"University Based Job Recommender & Alumni System","authors":"Akeem Olowolayemo, Kamaleiah Harun, T. Mantoro","doi":"10.1109/ICCED.2018.00049","DOIUrl":"https://doi.org/10.1109/ICCED.2018.00049","url":null,"abstract":"With the advancement in technology, job seekers who among them are fresh graduates will tend to use erecruiting to find opportunity and apply for jobs. One of the desires of any university is to be able to track the employability of their graduates. After graduating, they often require their graduates to fill an online system prepared by the university which functions to know whether they are getting jobs and to records their jobs details in order to analyze the university’s graduate’s employability. Unfortunately, universities are unable to track down the progress of their graduate students in terms of their job application status. This work aims to propose a system that enables university to track their graduate students’ job information via a mobile application. It also had a feature for students who have not secure a job position or wish to change their job to apply for available job opportunities after graduating. The profile of each student in the application is auto-created from information extracted from graduating students’ file from university database which the student can then customize to include their job status. This application has the potential to help the universities in gathering information regarding their graduate’s employability and helps graduates in finding jobs.","PeriodicalId":166437,"journal":{"name":"2018 International Conference on Computing, Engineering, and Design (ICCED)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124984255","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

Developing Smart Workspace Based IOT with Artificial Intelligence Using Telegram Chatbot 使用Telegram聊天机器人开发基于人工智能的智能工作空间物联网

2018 International Conference on Computing, Engineering, and Design (ICCED) Pub Date : 2018-09-01 DOI: 10.1109/ICCED.2018.00052

Muhamad Muslih, Somantri, D. Supardi, Elpid Multipi, Yusup Maulana Nyaman, Adi Y. Rismawan, Gunawansyah

引用次数: 23

Short Answer Scoring in English Grammar Using Text Similarity Measurement 基于文本相似度测量的英语语法简答题评分

2018 International Conference on Computing, Engineering, and Design (ICCED) Pub Date : 2018-09-01 DOI: 10.1109/ICCED.2018.00034

Akeem Olowolayemo, Santhy David Nawi, T. Mantoro

{"title":"Short Answer Scoring in English Grammar Using Text Similarity Measurement","authors":"Akeem Olowolayemo, Santhy David Nawi, T. Mantoro","doi":"10.1109/ICCED.2018.00034","DOIUrl":"https://doi.org/10.1109/ICCED.2018.00034","url":null,"abstract":"Assessment in educational institution is an important system to evaluate academic performance among students. The assessment is done by teacher either manually or using automated scoring technology. This study employed natural language processing approach to automated short answer scoring system using textual similarity. There are various types of questions in an examination paper. These include multiple choices question, short answer based question, fill-in-the-blanks questions and essay questions. In this study, the focus is on fill-in-the-blanks questions type. Students are required to answer each question with 2-5 words. The scope of the subject is narrowed to English grammar for secondary school as a datasets for this study. The datasets included 240 responses for 10 questions selected randomly. Students’ answers are mapped with model answers to measure the textual similarities. The mappings were done using Levenshtein distance (LD) and Cosine similarity measures. Both textual similarity techniques assigned marks to each response according to the similarity distance of student answer and model answer. Certain range of distance values is restricted for both textual similarity techniques. The effectiveness of textual similarity in scoring short based answer is compared with human grader scoring. Both textual similarity techniques show high agreement with human grader for assigning full marks where the maximum percentage is 92 and 94 percent for LD and Cosine similarity respectively. This work should be useful to assist teacher to ease the onerous task of grading.","PeriodicalId":166437,"journal":{"name":"2018 International Conference on Computing, Engineering, and Design (ICCED)","volume":"90 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130912611","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: 3

Exploring the Factors for Cloud Computing Adoption in Indonesia 探讨印尼采用云计算的因素

2018 International Conference on Computing, Engineering, and Design (ICCED) Pub Date : 2018-09-01 DOI: 10.1109/ICCED.2018.00035

Herdaya Adiyasa, A. Hidayanto, A. Pinem, Solikin, E. S. Negara, Poppy Buana Mega Putri

引用次数: 11

Developing Information Quality Model and Measuring Information Quality for Further Improvement: A Case of ERP System of a State Owned Company 建立信息质量模型并对信息质量进行测度以促进改进——以某国有企业ERP系统为例

2018 International Conference on Computing, Engineering, and Design (ICCED) Pub Date : 2018-09-01 DOI: 10.1109/ICCED.2018.00019

Nur Fitriah Ayuning Budi, A. Hidayanto, P. Sandhyaduhita, Theresia Wati

{"title":"Developing Information Quality Model and Measuring Information Quality for Further Improvement: A Case of ERP System of a State Owned Company","authors":"Nur Fitriah Ayuning Budi, A. Hidayanto, P. Sandhyaduhita, Theresia Wati","doi":"10.1109/ICCED.2018.00019","DOIUrl":"https://doi.org/10.1109/ICCED.2018.00019","url":null,"abstract":"Information quality (IQ) has received considerable attention in various sectors due to its critical impact on the accuracy of decision-making process. Many organizations are aware of having problems with their information quality, but often facing difficulty to measure IQ capability. This study aims to develop a model that will be used to measure information quality by adopting PSP/IQ Model. Data was collected through focus group discussion and internal survey. IQ model development was carried out by using Analytical Hierarchy Process methodology. The final model concludes the priority of IQ aspects is in the same level priority with the same weighted score of 0,25. Furthermore, three dimensions that have the highest priority are consecutively security (0.188), free-of-error (0.137), and reputation (0.112). The result of information quality measurement shows that relevancy (3,29) has the highest satisfaction score among others. Finally, gap analysis was discussed to propose further improvement priority of the IQ dimension.","PeriodicalId":166437,"journal":{"name":"2018 International Conference on Computing, Engineering, and Design (ICCED)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126296966","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