2017 International Conference on Data and Software Engineering (ICoDSE)最新文献_第4页

Interaction perspective in mobile banking adoption: The role of usability and compatibility 手机银行采用中的交互视角:可用性和兼容性的作用

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285878

H. M. Sitorus, R. Govindaraju, I. Wiratmadja, I. Sudirman

{"title":"Interaction perspective in mobile banking adoption: The role of usability and compatibility","authors":"H. M. Sitorus, R. Govindaraju, I. Wiratmadja, I. Sudirman","doi":"10.1109/ICODSE.2017.8285878","DOIUrl":"https://doi.org/10.1109/ICODSE.2017.8285878","url":null,"abstract":"Mobile banking is one of the latest electronic banking channels that provide financial services through information and communication technologies. Although it offers numerous benefits, many Indonesian banks face problem of low mobile banking adoption. A study on what makes customer fully accept mobile banking can help banks develop effective strategies to answer this problem. This study examines mobile banking adoption from an interaction perspective. The purpose of this study is to investigate the interaction between individual and technology, specifically the role of usability and compatibility on mobile banking adoption. Based on literature study on technology adoption, mobile banking adoption, usability and compatibility literatures, a research model is proposed. There are 5 constructs examined, i.e. satisfaction, perceived usefulness, perceived ease of use, perceived learnability and compatibility; the relationship of the constructs and their effects on intention to continue using mobile banking are examined. The results indicate that intention to continue using mobile banking is significantly determined by compatibility and satisfaction. The results also show perceived ease of use and perceived learnability are different constructs and have different roles on explaining satisfaction.","PeriodicalId":366005,"journal":{"name":"2017 International Conference on Data and Software Engineering (ICoDSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126149106","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

FVEC-SVM for opinion mining on Indonesian comments of youtube video 基于FVEC-SVM的youtube视频印尼评论意见挖掘

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285860

Ekki Rinaldi, Aina Musdholifah

引用次数: 11

Rapid data stream application development framework 快速数据流应用程序开发框架

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285865

Wilhelmus Andrian Tanujaya, Muhammad Z. C. Candra, Saiful Akbar

{"title":"Rapid data stream application development framework","authors":"Wilhelmus Andrian Tanujaya, Muhammad Z. C. Candra, Saiful Akbar","doi":"10.1109/ICODSE.2017.8285865","DOIUrl":"https://doi.org/10.1109/ICODSE.2017.8285865","url":null,"abstract":"Developers of data stream processing application have to write a lot of codes even for a simple functionality, and, to make it worse, tend to rewrite their codes when developing different applications. These developers also need to recompile the code even for simple changes. In this paper, we present a configurable data stream application framework, which will help developers in developing data stream applications by reducing the amount of codes written to develop a data stream processing application. In this framework, we introduce a Domain Specific Language (DSL) for defining and configuring the data stream application. Our framework provides many basic stream processing functionalities, such as passing the data from data source to processing classes, filtering, windowing the data, as well as sending the data to data collectors. Most configurations related to these functionalities can be easily changed using the DSL without the need to recompile the code. The framework was tested using two case studies, where for each of them we developed data stream applications with and without the framework. The case studies show the increased productivity in terms of the number of lines of code and the number of files written for each respective application.","PeriodicalId":366005,"journal":{"name":"2017 International Conference on Data and Software Engineering (ICoDSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115423842","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

Comparison of optimal path finding techniques for minimal diagnosis in mapping repair 地图修复中最小诊断最优寻径技术的比较

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285853

Inne Gartina Husein, Saiful Akbar, B. Sitohang, F. N. Azizah

{"title":"Comparison of optimal path finding techniques for minimal diagnosis in mapping repair","authors":"Inne Gartina Husein, Saiful Akbar, B. Sitohang, F. N. Azizah","doi":"10.1109/ICODSE.2017.8285853","DOIUrl":"https://doi.org/10.1109/ICODSE.2017.8285853","url":null,"abstract":"Ontology matching produce a set of semantic correspondences called alignment. The issue of incoherent alignment has been the concern of many researcher since 2010, since almost all matching systems produce incoherent alignments of ontologies. Mapping repair process is a way to quantify the quality of alignment based on the definition of mapping incoherence. Internal properties of mapping will be measured by semantic of the ontologies being matched. Mapping repair process should restore coherence condition by removing as less as possible unwanted mappings. This is call minimal diagnosis. Minimal on the amount of removed mapping and small confidence value of removed mapping. This paper compares optimal path finding techniques that support minimal diagnosis. Some experiments conducted using conference track ontology. Experiment result showed that A∗ Search produced the greatest precision, recall and f-measure values, followed by Greedy Search. Both techniques computed the lowest cost path by using heuristic. This condition was also due to logic algorithm that effective to support minimal diagnosis.","PeriodicalId":366005,"journal":{"name":"2017 International Conference on Data and Software Engineering (ICoDSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113956447","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

Enhancing clustering quality of fuzzy geographically weighted clustering using Ant Colony optimization 利用蚁群优化提高模糊地理加权聚类的聚类质量

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285858

A. Wijayanto, Siti Mariyah, A. Purwarianti

引用次数: 4

Cells identification of acute myeloid leukemia AML M0 and AML M1 using K-nearest neighbour based on morphological images 基于形态学图像的k近邻法鉴定急性髓系白血病AML M0和AML M1细胞

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285851

Esti Suryani Wiharto, Sarngadi Palgunadi, Yudha Rizki Putra

{"title":"Cells identification of acute myeloid leukemia AML M0 and AML M1 using K-nearest neighbour based on morphological images","authors":"Esti Suryani Wiharto, Sarngadi Palgunadi, Yudha Rizki Putra","doi":"10.1109/ICODSE.2017.8285851","DOIUrl":"https://doi.org/10.1109/ICODSE.2017.8285851","url":null,"abstract":"Acute Myeloid Leukemia (AML) is a type of leukemia characterised by the occurrence of myeloid series cell differentiation that stops in the blast cells causing the accumulation of blast cells in the bone marrow. This study aims to determine leukemia typically in AML M0 and AML M1 based on the morphology of white blood cell image using image processing method. The steps performed are median filtering, YCbCr colour conversion, thresholding, and opening, and k-Nearest Neighbors classifier to classify cell types from feature extraction results. The result of characteristic extraction was done by mean difference test for each characteristic between cell type indicated that there was a significant difference in WBC diameter characteristic between cell type, while on a characteristic of nucleus ratio showed that there was no significant difference. Based on characteristic testing of each cell, a combination of a characteristic of WBC diameter and nucleus roundabout obtained the highest accuracy when k = 5 and k = 7 is 67,28%. Thus the characteristic of WBC diameter and the nuclear roundabout is the most influential data classification feature. Based on the test results of each cell, if the algorithm k = 6 k-Nearest Neighbors can classify the cell correctly 59.87% of the 162 data used based on the three characteristics each cell is the WBC diameter, the nucleus roundabout and the nucleus ratio.","PeriodicalId":366005,"journal":{"name":"2017 International Conference on Data and Software Engineering (ICoDSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114147133","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: 14

Semi-automated data publishing tool for advancing the Indonesian open government data maturity level case study: Badan pusat statistik Indonesia 推进印尼开放政府数据成熟度水平的半自动数据发布工具案例研究:Badan pusat statistical Indonesia

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285887

Chairuni Aulia Nusapati, W. Sunindyo

{"title":"Semi-automated data publishing tool for advancing the Indonesian open government data maturity level case study: Badan pusat statistik Indonesia","authors":"Chairuni Aulia Nusapati, W. Sunindyo","doi":"10.1109/ICODSE.2017.8285887","DOIUrl":"https://doi.org/10.1109/ICODSE.2017.8285887","url":null,"abstract":"Open Government Data (OGD) refers to the data produced or commissioned by the government or the government-controlled entities that can be freely used, reused, and redistributed by anyone. In Indonesia, the creation and use of OGD have been supported by the government since 2011. However, in contrary, the maturity level of the OGD published on the publishing sites is quite low, scoring only one up to three stars out of the maximum five stars according to the global Five Star Open Data standard. This paper describes a solution for the problem in the form of a semi-automated publishing tool that could be used to advance the current OGD maturity level in Indonesia. Government agencies, represented by their administrators, could use the tool to process their existing data into the more mature ones. The tool would take government data in the form of Excel and CSV files, or in other words 2-star and 3-star respectively, and process them into the maximum 5-star data in various formats. The main framework of the tool is developed based on an existing framework, extended to give more detailed steps and match to the case study at the Badan Pusat Statistik Indonesia (Indonesian Central Bureau of Statistics). Based on the evaluation, the tool can level up the existing data's maturity level from 2-star and 3-star to the maximum 5-star based on the Five Star Open Data Standard. This promising result encourages the authors to develop the tool even further in another research and the authors have also provided some possible further development based on the result of this work.","PeriodicalId":366005,"journal":{"name":"2017 International Conference on Data and Software Engineering (ICoDSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122210230","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

Two-steps graph-based collaborative filtering using user and item similarities: Case study of E-commerce recommender systems 使用用户和商品相似度的基于图的两步协同过滤:电子商务推荐系统的案例研究

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285891

Aghny Arisya Putra, Rahmad Mahendra, I. Budi, Q. Munajat

引用次数: 11

Scheme mapping for relational database transformation to ontology: A survey 关系数据库到本体转换的模式映射:综述

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285866

Paramita Mayadewi, B. Sitohang, F. N. Azizah

引用次数: 1

Modelling online assessment in management subjects through educational data mining 基于教育数据挖掘的管理学科在线评估建模

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285881

M. Ayub, Hapnes Toba, M. Wijanto, Steven Yong

引用次数: 7