2017 3rd International Conference on Science in Information Technology (ICSITech)最新文献_第9页

Application of artificial neural network for predicting company financial performance in Indonesia stock exchange 人工神经网络在印尼证券交易所公司财务绩效预测中的应用

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257118

Givaldi Ramadhan, Arian Dhini, I. Surjandari, Reggia Aldiana Wayasti

引用次数: 1

Analysis of knowledge management readiness in government institution 政府机构知识管理准备度分析

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257114

W. Satria, Irwan Munandar, I. Rizal, Elin Cahyaningsih, D. I. Sensuse, Handrie Noprisson

引用次数: 2

Petri net arithmetic models for scalable business processes 可扩展业务流程的Petri网算法模型

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257093

A. Fauzan, R. Sarno, M. Yaqin

引用次数: 11

Integrated smart neighborhood framework and application to sustain an innovative digital economy in the 4IR and big data era 集成智能社区框架和应用，在第四次工业革命和大数据时代支撑创新数字经济

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257077

H. Zaman, Azlina Ahmad, Norsiah Abdul Hamid, Aw Kien Sin, A. Hussain, M. Hannan, Hanif Md. Saad

{"title":"Integrated smart neighborhood framework and application to sustain an innovative digital economy in the 4IR and big data era","authors":"H. Zaman, Azlina Ahmad, Norsiah Abdul Hamid, Aw Kien Sin, A. Hussain, M. Hannan, Hanif Md. Saad","doi":"10.1109/ICSITECH.2017.8257077","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257077","url":null,"abstract":"This study involved the design of a smart neighborhood application, to sustain an innovative economy in this 4IR Big Data era. This study involved a five-part study : Part 1 investigated on the appropriate drivers of the dimension of the innovative Digital Malaysia concept before theories of digital signal processing, visualization and appropriate ambient computing could be applied into the design framework of the Integrated Smart Neighborhood in a Smart City in Malaysia; Part II, involved a semi-structured interview with two prominent experts; Part III involved public survey conducted to verify the significant dimensions of Malaysia's KS, the important indicators of KS and to validate the generalizable measurement model for Malaysia's KS based on the innovative Digital Malaysia context. Based on the 5-Round Delphi, KS in the Digital Malaysia context was defined; Part V involved development of tools and devices as proof of concept for sustainability and wellbeing of a specific section of the population in the big data era. A smart neighborhood in the context of this study takes into consideration the Knowledge Society (KS) model in an innovative Digital Malaysia KS Dimensions: Technology, Education, Governance, Social and Environment. The framework was verified for its ‘goodness of fit’ model using the Structural Equation Modeling (SEM), based on the AMOS output. The elements that were significant were related to three main elements: environment: cleanliness; security and health. The data in the smart neighborhood can be presented by the dashboard technology using Big Data Analytics, to be shared for societal well-being.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125174408","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: 4

Book recommendation using Neo4j graph database in BibTeX book metadata 图书推荐使用Neo4j图形数据库中的BibTeX图书元数据

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257084

I. Dharmawan, R. Sarno

引用次数: 11

Predicting degree-completion time with data mining 利用数据挖掘预测学位完成时间

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257209

M. Wati, Haeruddin, Wahyu Indrawan

引用次数: 7

Music mood classification using audio power and audio harmonicity based on MPEG-7 audio features and Support Vector Machine 基于MPEG-7音频特征和支持向量机的音频功率和音频谐波音乐情绪分类

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257088

Johanes Andre Ridoean, R. Sarno, Dwi Sunaryo, D. Wijaya

{"title":"Music mood classification using audio power and audio harmonicity based on MPEG-7 audio features and Support Vector Machine","authors":"Johanes Andre Ridoean, R. Sarno, Dwi Sunaryo, D. Wijaya","doi":"10.1109/ICSITECH.2017.8257088","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257088","url":null,"abstract":"Music can affect a person's mood. Music psychologists agree that music has a significant impact on a person's mood that determines their behavior. Therefore, our research examines the audio features that affect mood. Our method is to perform feature extraction based on MPEG-7 Low-Level Descriptors. MPEG-7 is international standardized multimedia metadata in ISO/IEC 15938. In this paper, we have made a researched about music mood classification using Audio Power and Audio Harmonicity features. The result of the extraction of the MPEG-7 obtained 17 features low-level descriptors. These features are classified using Support Vector Machine (SVM). There are two stages of SVM: training and prediction phase. Traning phase is when the machine learns to recognize the characteristics of the signal on a label while in prediction phase, it gives the predicted outcome of a label on a new signal characteristic pattern. The success rate of this experiment was 74.28% using Audio Power and Audio Harmonicity, 37.14% using Audio Spectrum Projection, and 28.57% using Audio Power, Audio Harmonicity and Audio Spectrum Projection.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130879054","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: 17

Patterns of fraud detection using coupled Hidden Markov Model 基于耦合隐马尔可夫模型的欺诈检测模式

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257117

K. R. Sungkono, R. Sarno

引用次数: 8

Behavioral tracking analysis on learning management system with apriori association rules algorithm 基于先验关联规则算法的学习管理系统行为跟踪分析

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257141

Dino Aviano, B. L. Putro, E. Nugroho, Herbert Siregar

{"title":"Behavioral tracking analysis on learning management system with apriori association rules algorithm","authors":"Dino Aviano, B. L. Putro, E. Nugroho, Herbert Siregar","doi":"10.1109/ICSITECH.2017.8257141","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257141","url":null,"abstract":"Online learning has been applied in various educational institutions, and have some positive effects on the conventional learning, especially if both learning is collaborated. Online learning helps teaching difficulties in conventional learning where learning process of individual student is hard to know in detailed by the teacher because of too many students in a single class. With online learning assisted by Learning Management System (LMS) teachers can know each student individual learning process by analyzing student log activity on the LMS which is often called by behavioral tracking. LMS used as research material is Moodle that has been applied to the Computer Science Education Department, UPI. The purpose of this research is to find learning status of each student by analyzing student's behavior while using the Moodle LMS. One of behavioral tracking model which can be used to determine the student's learning status is Monitoring Online Course with Log Data (MOCLog) model. By combining the concept map, and solution map, this model can analyze log data on Moodle LMS, and generate learning status of each individual student. Then the teacher can determine what behavioral traits are dominant, and most influential on learning with association rule data mining technique with apriori algorithms. This study provides that dominant learning status on the Computer Network course with 84.75 % students is Normal Learning Status while Frequent Access the Course to be an activity that greatly affect the student's learning status in the Moodle LMS course with 48 students.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125544149","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: 4

Design for performance monitoring system using earned value analysis method for nonprofit organizations case study of organization X, Indonesia 使用挣值分析方法的非营利组织绩效监控系统设计——以印度尼西亚X组织为例

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI: 10.1109/ICSITECH.2017.8257159

A. Gunawan, Cut Fiarni, Yosephine Ryana

{"title":"Design for performance monitoring system using earned value analysis method for nonprofit organizations case study of organization X, Indonesia","authors":"A. Gunawan, Cut Fiarni, Yosephine Ryana","doi":"10.1109/ICSITECH.2017.8257159","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257159","url":null,"abstract":"For so many years, a number of nonprofit organizations (NPOs) has developed themselves as a respond to social and economic discrepancy all over the world. Their aim to leverage society's life quality in many aspects has been held through a variety of projects that need both financial support and human resources. The dynamic and unpredictable conditions of both societal culture and fund availability have produced a lot of uncertainties for NPOs in executing their initial projects' plans. These conditions often result to a number of variances in projects reports that will be presented as NPOs performance of the year. If this condition continues to happen, the higher risk could be NPO's losing its donator's trust. As a respond to this problem and its risk, a web-based performance monitoring system with the use of a project management method called Earned Value Analysis (EVA) was developed. This method was contextually used with a proposed additional calculation in order to comply it with the NPO's project characteristics. This research was conducted in organization X, an NPO engaged in projects for Indonesian children's well-being. Result of this study shows that by the usage of EVA, NPOs would be equipped by descriptive and predictive status of ongoing projects and thus help them make decisions and preventive action to mitigate any risks that might occur. The user acceptance test for the proposed system in organization X shows the degree of user satisfaction in the range of 87.71% for system performance and 81.96% for usability, which strengthens the applicability of EVA method in the context of NPOs. Finally, the system can help NPOs to have a better and real-time performance evaluation, prevent financial problems, and increase transparency and trust. Thus, donors can have a more reliable proof of the use and impact of their donations.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115801572","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