2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE)最新文献

Application of Best First Search Method to Search Nearest Business Partner Location (Case Study: PT Coca Cola Amatil Indonesia, Bandar Lampung) 最佳优先搜索方法在最近商业伙伴地点搜索中的应用(案例研究:PT Coca Cola Amatil Indonesia, Bandar Lampung)

2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICOMITEE.2019.8920905

H. Sulistiani, Febri Wardani, Ari Sulistyawati

引用次数: 1

ICOMITEE 2019 Cover Page ICOMITEE 2019封面

2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) Pub Date : 2019-10-01 DOI: 10.1109/icomitee.2019.8921381

引用次数: 0

Influence Analysis of Feature Selection to Network Intrusion Detection System Performance Using NSL-KDD Dataset 基于NSL-KDD数据集的特征选择对网络入侵检测系统性能的影响分析

2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICOMITEE.2019.8920961

Lukman Hakim, Rahilla Fatma, Novriandi

引用次数: 24

SOA Integration for E-Marketplace 面向电子市场的SOA集成

2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICOMITEE.2019.8921150

L. Ismanto, AR Hendra Suwito, A. Fajar

引用次数: 0

Analysis of Community Trust in Nganjuk toward Online Transportation Innovations Technology: Case Study HeehJek 甘肃社区对网络交通创新技术的信任分析——以浙江为例

2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICOMITEE.2019.8921216

T. Suryanto, A. Fauzi, A. Faroqi

引用次数: 2

Review of Potential Methods for Handover Decision in V2V VANET V2V VANET中切换决策方法综述

2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICOMITEE.2019.8921117

Sahirul Alam, S. Sulistyo, I. Mustika, Ronald Adrian

引用次数: 10

Improve Hybrid Particle Swarm Optimization and K-Means by Random Injection for Land Clustering of Potato Plants 基于随机注入的混合粒子群算法和K-Means在马铃薯土地聚类中的改进

2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICOMITEE.2019.8921207

Y. A. Auliya

{"title":"Improve Hybrid Particle Swarm Optimization and K-Means by Random Injection for Land Clustering of Potato Plants","authors":"Y. A. Auliya","doi":"10.1109/ICOMITEE.2019.8921207","DOIUrl":"https://doi.org/10.1109/ICOMITEE.2019.8921207","url":null,"abstract":"Potatoes are a source of carbohydrates that have lower glucose levels than rice so it is safe for diabetics. potatoes are agribusiness superior products for the highlands because of their high economic value and have great potential in product diversification. Batu City is a potato producing center in East Java which is spread in the Sumber Brantas village, Tulungrejo village and its surroundings. Based on statistical data, the average productivity of potato crops in the city of stone is 75,860 Kw. Potato crop productivity is not optimal due to the varied variability and productivity of the soil. Based on these problems it is necessary to cluster the potato planting land based on the level of land suitability. Land clustering is grouped into 4 classes: very suitable (S1), quite appropriate (S2), appropriate (S3) and inappropriate (N). Used 11 Land suitability criteria, namely: average temperature, first month rainfall, second to third month rainfall, fourth month rainfall, air humidity, drainage, soil texture, effective depth, H2O pH, CEC and slope slope. K-Means is a simple clustering algorithm that has properties without direction or unsupervised. In complex problems, the K-Means method often gets a non-optimum solution (Local Optimum). In this study a new approach was used, namely hybrid particle swarm optimization and K-Means (KCPSO). KCPSO is implemented using the random injection concept to obtain better fitness values. Calculation of fitness value based on Silhouette Coefficient value. Based on the results of testing, the KCPSO architecture imported by random injection obtained the best fitness value. The clustering process using improve KCPSO compared to expert calculations produces an accuracy rate of 86%","PeriodicalId":137739,"journal":{"name":"2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127850085","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

Project Management Information Systems (PMIS) for Project Management Effectiveness: Comparison of Case Studies 项目管理信息系统(PMIS)的项目管理有效性:案例研究的比较

2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICOMITEE.2019.8921046

A. Retnowardhani, J. Suroso

{"title":"Project Management Information Systems (PMIS) for Project Management Effectiveness: Comparison of Case Studies","authors":"A. Retnowardhani, J. Suroso","doi":"10.1109/ICOMITEE.2019.8921046","DOIUrl":"https://doi.org/10.1109/ICOMITEE.2019.8921046","url":null,"abstract":"The problems faced by an IT company such as the number of projects that are not in accordance with the scope that has been in agreement, not timely and not in accordance with the budget set. In the traditional project paradigm, most projects are managed using a lot of manual documents that require a relatively need much time while the field team is faced with technical work that is not possible to do manual documentation. Project management plays a role from initiation, planning, supervision and control and closure in a project life cycle. To be able to carry out all project life cycles and make decisions requires complete documentation, however, the project team is often faced with the choice of whether doing documented or doing the project. Project Management Information Systems (PMIS) are a project management tool that can assist the project team in planning, scheduling, monitoring and reporting automatically throughout the project management process. Several IS/IT project uses PMIS to help their project management, with the aim to be more effective. Then, the project will be successful in the process. This study presents the review of several previous case studies, research who used PMIS. Through this review will be able to know what benefits are obtained from the use of PMIS. The results show that there is an increase in project management effectiveness.","PeriodicalId":137739,"journal":{"name":"2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133816305","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

ICOMITEE 2019 Title Page ICOMITEE 2019标题页

2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) Pub Date : 2019-10-01 DOI: 10.1109/icomitee.2019.8920849

引用次数: 0

Big Data Technologies using SVM (Case Study: Surface Water Classification on Regional Water Utility Company in Surabaya) 基于支持向量机的大数据技术(以泗水地区自来水公司地表水分类为例)

2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICOMITEE.2019.8920823

R. Budiarti, S. Sukaridhoto, M. Hariadi, M. Purnomo

{"title":"Big Data Technologies using SVM (Case Study: Surface Water Classification on Regional Water Utility Company in Surabaya)","authors":"R. Budiarti, S. Sukaridhoto, M. Hariadi, M. Purnomo","doi":"10.1109/ICOMITEE.2019.8920823","DOIUrl":"https://doi.org/10.1109/ICOMITEE.2019.8920823","url":null,"abstract":"How important to the role of water for the survival of living beings, not only for human but also the other living beings need water as one of the elements that support the continuity of life in every living creature. To maintain the necessity of water resources such as river, recently the need for monitoring systems that able to take the parameter of water quality using sensors important. In the previous paper, we built the Internet of Things to get the data using a passive sensor and an active sensor. As additionally, we built Big-Data system equipped with machine learning algorithm that can perform water quality classification with the Support Vector Machine method. This system monitoring every activity in the Karang Pilang area and applying classification. The result of this system that the big data system can perform the classification of river water quality in interactive and accurate. The result discusses that we were able to classify by using Support Vector Machine with accuracy level 0.9138 by using Linear kernel and 0.8372 by using RBF kernel. From the ROC result, we achieved AUC value until 0.93. It’s mean we achieved an excellent result.","PeriodicalId":137739,"journal":{"name":"2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114296364","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: 6