2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)最新文献

Diabetic Retinopathy Stages Classification using Improved Deep Learning 基于改进深度学习的糖尿病视网膜病变分期分类

2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) Pub Date : 2020-11-19 DOI: 10.1109/ICIMCIS51567.2020.9354281

P. Sudarmadji, Prisca Deviani Pakan, Rocky Yefrenes Dillak

引用次数: 8

Structural Model of System Information for Management Innovation Ruminant-Slaughterhouse 反刍屠宰场管理创新的系统信息结构模型

2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) Pub Date : 2020-11-19 DOI: 10.1109/ICIMCIS51567.2020.9354305

Muhammad Syarif Hartawan, M. Maharani, Erly Krisnanik Information System

{"title":"Structural Model of System Information for Management Innovation Ruminant-Slaughterhouse","authors":"Muhammad Syarif Hartawan, M. Maharani, Erly Krisnanik Information System","doi":"10.1109/ICIMCIS51567.2020.9354305","DOIUrl":"https://doi.org/10.1109/ICIMCIS51567.2020.9354305","url":null,"abstract":"In the digital age, data and information such as performance of Ruminant-Slaughterhouse, both true and false, could spreads faster than ever. The same information technology that provides access to data across the globe very possible can abet the warping of truth and normalization of lies. The truth, untruth and information technology, including how social media manipulates behavior, technologies such as deep fakes spread misinformation, including the bias inherent in algorithms. The aim of the study is formulating a structural model for the Information System Management Innovation Ruminant-Slaughterhouse by understanding the interaction and contextual 3 elements (objectives, constraints, and benchmarks). This model is needed as the basis for the operational policy of the 2020–2024 technology research and innovation program, specially for sustainability of management Ruminant-Slaughterhouse. The research methodology includes secondary data collection based on literature study and expert consultation, and analysis using ISM. The results show that the key goal is to increase the true digital leadership of Manager Ruminant-Slaughterhouse; Provide Vision and Empower Ruminant-Slaughterhouse Users and Workers, and Give up control and Empower Ruminant-Slaughterhouse Users & Workers. The key constraint are: Online Deception of slaughtered diseased animal, Online deception of processed meat, conflict between Users. The benchmarks for the success of the objectives are: fake news goes viral decreasing, and social media manipulates human behavior decreasing.","PeriodicalId":441670,"journal":{"name":"2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122986825","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

Aligning PMBOK and COBIT for Project Management in Banking Industry: Case Study of BankXYZ 项目管理知识体系与COBIT在银行业项目管理中的结合:BankXYZ的案例研究

2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) Pub Date : 2020-11-19 DOI: 10.1109/ICIMCIS51567.2020.9354274

Indira Tiara Ayu, Meisuchi Naisuty, Dewanto Soedarno, M. R. Shihab, Agus Suhanto, B. Ranti

{"title":"Aligning PMBOK and COBIT for Project Management in Banking Industry: Case Study of BankXYZ","authors":"Indira Tiara Ayu, Meisuchi Naisuty, Dewanto Soedarno, M. R. Shihab, Agus Suhanto, B. Ranti","doi":"10.1109/ICIMCIS51567.2020.9354274","DOIUrl":"https://doi.org/10.1109/ICIMCIS51567.2020.9354274","url":null,"abstract":"Bank XYZ is a well-known financial organization that faces problems related to the application of IT governance and project management practices. The problem that faced Bank XYZ is some policy related with IT governance, it is formed in an ad hoc manner as a result of years of implementing IT and learning from experiences. To improvement the IT project management with standard this research used COBIT6. Thus, this exploratory research was conducted to identify the alignment of IT project management with business objectives in the organization by combining COBIT5 and PMBOK6 best practices. This result used interview and secondary data such as document to collect the data at Bank XYZ. There is 7 from total of the quantity from 4 respondents at Bank XYZ. Result of this research is the project management practice Bank XYZ Should fulfilled 5 activity output process group PMBOK. The output that Bank XYZ should be consider are plan WBS, sequences activity, plan communication engagement, develop project management plan, and plan quality management.","PeriodicalId":441670,"journal":{"name":"2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121960508","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

Visualization of Twitter Geo-location for Equalization Analysis of Smart Cities in Indonesia 印度尼西亚智慧城市均衡分析的Twitter地理位置可视化

2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) Pub Date : 2020-11-19 DOI: 10.1109/ICIMCIS51567.2020.9354293

Ria Siti Juairiah, H. Ubaya

{"title":"Visualization of Twitter Geo-location for Equalization Analysis of Smart Cities in Indonesia","authors":"Ria Siti Juairiah, H. Ubaya","doi":"10.1109/ICIMCIS51567.2020.9354293","DOIUrl":"https://doi.org/10.1109/ICIMCIS51567.2020.9354293","url":null,"abstract":"Indonesia has thousands of islands with 5 large island groups that are well known throughout the country. This then becomes a question of how capable Indonesia is to implement Smart City development in each of these regions. To answer this question, this study is designed to assist the government in analyzing the equal distribution of Smart City in Indonesia. The analytical material used was 381,362 Twitter data with the topic of Smart City by Drone Emprit. These tweets are grouped by region, province, and island. Drone Emprit has implemented several methods such as Machine Learning, Database Framework, Hadoop Framework, and Physical Hardware to visualize Smart City data spread throughout Indonesia. Seeing a tweet from an area indicates that the development of a Smart City has been implemented in that area. As a result, the islands of Sumatra and Sulawesi have achieved quite well, although they only cover 4 % and 2 % of the achievements of Java Island. Java Island has a dominance of 61 % with 2332 tweet data. The islands that never talk about Smart City are Kalimantan and Papua because these two islands have a percentage of talking about Smart City at exactly 0%. This data can be used by the government to pay more attention to the development of Smart City in areas that have a very small percentage.","PeriodicalId":441670,"journal":{"name":"2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128540296","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

Qualitative Analysis: Acceptance of Android-Based Augmented Reality Technology Using a Mixture of Marker and Markerless Methods as a Product Differentiation Strategy 定性分析:接受基于android的增强现实技术，使用标记和无标记的混合方法作为产品差异化策略

2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) Pub Date : 2020-11-19 DOI: 10.1109/ICIMCIS51567.2020.9354316

A. Utami, Rizky Aditya Nugroho, Masyitah Noviyanti

{"title":"Qualitative Analysis: Acceptance of Android-Based Augmented Reality Technology Using a Mixture of Marker and Markerless Methods as a Product Differentiation Strategy","authors":"A. Utami, Rizky Aditya Nugroho, Masyitah Noviyanti","doi":"10.1109/ICIMCIS51567.2020.9354316","DOIUrl":"https://doi.org/10.1109/ICIMCIS51567.2020.9354316","url":null,"abstract":"An android-based application with Augmented Reality technology using a mixture of the marker and markerless methods (MaDa AR) is one of the implementations of AMDK MaDa product differentiation strategy. This research aims to get an idea of the process of consumer acceptance of the design and features of applications that have been developed based on two factors of the Technology Acceptance Model (TAM) namely, perceived usefulness and perceived ease of use. The approach in this study is qualitative so that the data obtained is more in-depth, credible, and meaningful so that research objectives can be achieved. To get an overview of the phenomena related to the study in its entirety and depth, the researchers conducted observations, documentation studies, and live interviews with respondents who fit with the research criteria. The results of this study showed in the user's acceptance of this application, in addition to technology factors namely perceived factor of usefulness and perceived ease of use of TAM concept, other factors also found, namely knowledge and motivation factors of the user as well as factors of previous user experience.","PeriodicalId":441670,"journal":{"name":"2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)","volume":"277 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114343134","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 Between Faster R-CNN and CNN in Recognizing Weaving Patterns 更快R-CNN与CNN在织型识别中的比较

2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) Pub Date : 2020-11-19 DOI: 10.1109/ICIMCIS51567.2020.9354324

Yoze Rizki, Reny Medikawati Taufiq, Harun Mukhtar, Febby Apri Wenando, Januar Al Amien

{"title":"Comparison Between Faster R-CNN and CNN in Recognizing Weaving Patterns","authors":"Yoze Rizki, Reny Medikawati Taufiq, Harun Mukhtar, Febby Apri Wenando, Januar Al Amien","doi":"10.1109/ICIMCIS51567.2020.9354324","DOIUrl":"https://doi.org/10.1109/ICIMCIS51567.2020.9354324","url":null,"abstract":"Weaving is a particular type of cloth made specifically with distinctive motifs which is a traditional handicraft of Nusantara archipelago. It is necessary to have a motive recognition technology innovation that can identify weaving motifs in the Nusantara archipelago woven fabrics. Recognition of pattern in the woven fabric is very difficult because the patterns and types of Nusantara weaving are very diverse. This research will design the classification of woven fabric patterns using Faster R-CNN and compare it with The Convolutional Neural Network method. This research aims to compare the performance of Faster R-CNN and CNN in classifying weaving patterns by measuring the accuracy, precision, and recall levels of the recognition of Malay woven motifs with both Faster R-CNN and CNN. After collecting datasets, analyzing system requirements, designing preprocessing, and training processes for both CNN and Faster R-CNN, it is found that from the training data in the form of images of the Malay woven fabric and the gringsing woven cloth, it is found that through the K-Fold Cross Validation with a value of k = 5, the classification using Faster R-CNN obtained 82.14% accuracy, 91.38% precision and 91.36% recall. Meanwhile, the CNN method obtained 76% accuracy, 74.1% precision, and 72.3 recall. The faster R-CNN was superior in all parameter tests compared to CNN with a difference of 6.14% for accuracy, 17.28% more precision, and 19.06% for recall value. It found that the choice of Feature extractor architecture impact detection accuracy.","PeriodicalId":441670,"journal":{"name":"2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130477480","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

Clustering of Citizen Science Prospect to Construct Big Data-based Smart Village in Indonesia 印尼建设大数据智慧村的公民科学前景聚类

2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) Pub Date : 2020-11-19 DOI: 10.1109/ICIMCIS51567.2020.9354323

E. T. Tosida, Suprehatin Suprehatin, Y. Herdiyeni, Marimin Marimin, Indra Permana Solihin

{"title":"Clustering of Citizen Science Prospect to Construct Big Data-based Smart Village in Indonesia","authors":"E. T. Tosida, Suprehatin Suprehatin, Y. Herdiyeni, Marimin Marimin, Indra Permana Solihin","doi":"10.1109/ICIMCIS51567.2020.9354323","DOIUrl":"https://doi.org/10.1109/ICIMCIS51567.2020.9354323","url":null,"abstract":"The development of citizen science as the foundation of a smart village is one of the solutions to reduce poverty in rural areas. The main objective of this research is to map the prospect cluster of citizen science to construct big data-based smart villages in Indonesia. This research was conducted through a cluster analysis of 2018 village potential data in Indonesia, using a combination of k-means, expected maximum and density-based algorithms. The contribution of this research resulted in a map of prospect of citizen science clusters for smart villages in 33 provinces in Indonesia. The data used was limited to village administrative areas, so DKI Jakarta was not included in this study. The main factors that attribute to this cluster analysis are ICT infrastructure, management of villagers' participation in ICT activities, renewable energy, transportation, agricultural business activities and nonagricultural small and medium enterprises. The results of the clusters show that there are 3 clusters of citizen science potential to develop smart Indonesian villages, namely the very potential (11%), potential (60%) and quite potential (29%) clusters. This citizen science prospects cluster map is visualized on spatial data based on the provinces in Indonesia. Province Bangka Belitung Island, West Java, Central Java, East Java, Yogyakarta, Banten and Bali are potential provinces for developing citizen science in order to construct big data-based smart villages. The results of this cluster were validated with the dendogram structure of the systematic literature review (SLR). The dendogram structure shows the keywords that correspond to the main attributes used in the clustering process. This validation process is an innovative finding in the smart village research ecosystem.","PeriodicalId":441670,"journal":{"name":"2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115685920","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: 7

Design of Learning Application using Trivia Method based on Google Assistant for Vision Impairment Disability 基于Google Assistant的视障学习应用程序设计

2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) Pub Date : 2020-11-19 DOI: 10.1109/ICIMCIS51567.2020.9354326

Aulia Andinia, Ika Nurlaili Isnainiyah

{"title":"Design of Learning Application using Trivia Method based on Google Assistant for Vision Impairment Disability","authors":"Aulia Andinia, Ika Nurlaili Isnainiyah","doi":"10.1109/ICIMCIS51567.2020.9354326","DOIUrl":"https://doi.org/10.1109/ICIMCIS51567.2020.9354326","url":null,"abstract":"This mobile based application called Natasha Bot is a virtual learning media aimed at people with disabilities especially blind people. Natasha Bot contains questions about subjects in schools designed for elementary school students in grade 6 in the form of guessing or trivia. The system and infrastructure supporting learning activities for people with disabilities that have been facilitated by the government are still lacking. Some problems have arisen such as the inconvenience of students with disabilities in the learning environment because they feel different. Teachers in inclusive schools also have not been equipped with special skills or techniques for people with disabilities. The Natasha Bot application comes as an innovation that utilizes open source technology from Google. It is designed to make students with disabilities, especially the blind, feel comfortable in learning activities. Natasha Bot offers voice features as a two-way communication between the student and Bot. This research uses the design thinking method. To create Natasha Bot as a virtual friend as well as a learning media. Natasha Bot comes with Artificial Intelligence technology and is designed using the Google Assistant framework with the method of trivia or guessing. Natasha Bot is expected to help advance the world of education, especially for people with disabilities on visual impairments with a more teachable and psychological approach.","PeriodicalId":441670,"journal":{"name":"2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116404534","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

Sentiment Analysis of the New Indonesian Government Policy (Omnibus Law) on Social Media Twitter 印尼新政府政策(综合法案)在社交媒体Twitter上的情绪分析

2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) Pub Date : 2020-11-19 DOI: 10.1109/ICIMCIS51567.2020.9354287

Eki Aidio Sukma, A. Hidayanto, Adam Imansyah Pandesenda, A. Yahya, Punto Widharto, U. Rahardja

{"title":"Sentiment Analysis of the New Indonesian Government Policy (Omnibus Law) on Social Media Twitter","authors":"Eki Aidio Sukma, A. Hidayanto, Adam Imansyah Pandesenda, A. Yahya, Punto Widharto, U. Rahardja","doi":"10.1109/ICIMCIS51567.2020.9354287","DOIUrl":"https://doi.org/10.1109/ICIMCIS51567.2020.9354287","url":null,"abstract":"In this era of modern technology, people are always connected to the internet. Twitter is one of the most developed social media technologies. Countries that adhere to democratic governments usually need opinions from various sources to determine the level of satisfaction and level of acceptance of policies for decision makers, one source that can be used is Twitter. The quality of community satisfaction and the level of acceptance of good policies carried out by the government are important and become benchmarks for maintaining the harmony of state life in Indonesia. In this research study, the level of satisfaction quality and level of acceptance of policies from public reviews will be measured using sentiment analysis, targeting people on Twitter who mention new government policies (omnibus law) in Indonesia. To determine the level of quality of satisfaction and level of acceptance, the Support Vector Machine (SVM) methodology and sentiment analysis were used to classify reviews for the following 8 policy topics in the omnibus law; Increase SMEs, Administration, Area and Land, Employment, Licensing and Investment, Punishment, Research and Innovation, and Taxation. The results showed that topics related to employment were the topics that received the most reviews and negative sentiment from the public, while research and innovation were the topics that were the least reviewed by the public.","PeriodicalId":441670,"journal":{"name":"2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123972491","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: 18

Audio Feature Extraction on SIBI Dataset for Speech Recognition 基于SIBI数据集的语音特征提取

2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) Pub Date : 2020-11-19 DOI: 10.1109/ICIMCIS51567.2020.9354290

Ruhush Shoalihin, Erdefi Rakun

引用次数: 0