检索结果-内蒙古大学图书馆

International Conference on computer, Control, Informatics and Its Applications (IC3INA)

作者： Karto Iskandar Ford Lumban Gaol Benfano Soewito Harco Leslie Hendric Spits Warnars Raymondus Kosala Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Binus Graduate Program Bina Nusantara University West Jakarta DKI Jakarta ID School of Computer Science

ISBN: (纸本)9781509023240

Knowledge Management portal is a system to support Knowledge Management process, in order to create, capture, develop, share, reuse and optimize the knowledge and particularly in Bina Nusantara University which has implemented Knowledge Management System (KMS) since 2002. However, this KMS need to be measured in order to know how better this KMS in term of the software size. The binus KMS will be measured in term of their software size in functionality perspective with use case point method. This metric of KMS will be used by management to know how better the software size, complexity level and effort to development in numbering. Measurement of software size with software metric such as Use Case Point upon use case diagram for binus knowledge Management Portal shows that the project has medium software size with score Use Case Point (UCP) = 108.56 and has estimate effort will be developed in 2,064 hours (or in 258 days or 51.6 weeks or 12.9 months) and has development cost for 516,000,000.00 rupiah (Indonesian currency). Use Case Point, estimate effort and project value will powerful to help management in order to make decision regarding the implementation of IT software project development in term of time, money and people.

关键词： Software Software measurement Complexity theory Size measurement Knowledge management Unified modeling language Portals

来源：评论

学校读者我要写书评

暂无评论

Analysis of plant pattern using water balance and cimogram based on oldeman climate type

引用

IOP Conference Series: Earth and Environmental science 2018年第1期195卷

作者： R E Caraka M Tahmid R M Putra A Iskandar M A Mauludin Hermansah N E Goldameir H Rohayani B Pardamean Bioinformatics and Data Science Research Center (BDSRC) Bina Nusantara University Jakarta Indonesia 11480 Indonesia Agency for Meteorology Climatology and Geophysics Indonesia Informatics Engineering STMIK AKBA Makassar Laboratory of Sociology and Extension Universitas Padjadjaran Universitas Riau Kepulauan Riau University Universitas Adiwangsa Jambi Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

The transfer of land has an impact on the decreasing of the agricultural land area, so it is necessary to plan the right cropping pattern as an effort to increase the productivity of agricultural cultivation. Also, Climate is one of the factors influencing the determination of cropping pattern in a region. Analysis of climatic characteristics in the determination of cropping pattern not only based on oldeman climatic classification. At the same time, the study of groundwater availability for plants and climogram of climatic elements is needed in determining planting schedule which is suitable for planting and determination of irrigation water supply, either the right amount of time. This study aims to identify and build spatial of the oldeman climate classification. It also determines the cropping pattern for seasonal crops based on the calculation of water balance and climogram (rainfall and air temperature) in each type of climate oldeman district of Cirebon and surrounding areas. Data used monthly rainfall data period 1981-2010 from BMKG Jatiwangi station and air temperature data, plant coefficient and the base map of Cirebon region. The analysis method includes classification of Oldeman climate type, spatial data processing, water balance calculation by Thorntwaite & Matter method and making climogram (rainfall and temperature) with: k = p0 + p1/FC; p0 = 1.000412351; p1 = -1.073807306 and determination of planting pattern of each type of oldeman

关键词：

来源：评论

学校读者我要写书评

暂无评论

Solving Quadratic Assignment Problem with Fixed Assignment (QAPFA) using Branch and Bound Approach

引用

IOP Conference Series: Materials science and Engineering 2018年第1期300卷

作者： Sharifah Shuthairah Syed-Abdullah Syariza Abdul-Rahman Aida Mauziah Benjamin Antoni Wibowo Ku-Ruhana Ku-Mahamud School of Quantitative Sciences (SQS Computer Science Department-Binus Graduate Program Bina Nusantara University Anggrek Campus Jl. Kebon Jeruk Raya No. 27 Kebon Jeruk West Jakarta 11530 Indonesia School of Computing (SOC) College of Arts and Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia

Quadratic Assignment Problem (QAP) has been a very popular problem to be solved among researchers due to its practical applications. Several variants of QAP have been proposed by researchers in the past in order to reflect the real situations of QAP. One of the real problems of QAP is related with facilities which are required to be assigned to certain locations due to its function. In solving this problem, a fixed assignment has to be made thus allowing for the complexity of the problem to be reduced. Hence, this study introduces Quadratic Assignment Problem with Fixed Assignment (QAPFA) with the objective to minimize the assignment cost between the facility and location. This assignment takes into account the flow and distance between facility and location. QAPFA represents the real-world situation of the problem especially in dealing with specific requirement of some facilities to specific locations. Dataset of QAPFA is introduced and is solved using branch and bound approach. As for validation, the results of QAPFA are compared with QAP in terms of objective function and running time. The computational results show that the solution quality of QAPFA is lower when compared with the QAP, while the running time for QAPFA is lower than the QAP. Since the complexity of the problem is reduced by fixing the assignment, thus there is possibility that QAPFA has lower quality than QAP due to the fixed assignment. Nevertheless, in terms of running time QAPFA is better than QAP. It can be concluded that this problem reflect the real problem and practical to be used.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Rainfall forecasting using PSPline and rice production with ocean-atmosphere interaction

引用

IOP Conference Series: Earth and Environmental science 2018年第1期195卷

作者： Rezzy Eko Caraka Budi Darmawan Supatmanto Muhammad Tahmid Joko Soebagyo M Ali Mauludin Akbar Iskandar Bens Pardamean Bioinformatics and Data Science Research Center (BDSRC) Bina Nusantara University Jakarta Indonesia 11480 Weather Modification Technology Center Agency for the Assessment and Application of Technology (BPPT Indonesia Agency for Meteorology Climatology and Geophysics Indonesia College of Technology Wastukancana Purwakarta Laboratory of Sociology and Extension Padjadjaran University Informatics Engineering STMIK AKBA Makassar Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

The role of climate can be affected by plants. The weather can accelerate and multiply the existence of various plant pests and diseases, accelerate the growth and development of grass among plants, and encourage the emergence of infection and significant damage to plants. The elements of climate that affect the growth of plants are one of them is rainfall. In this paper, we performed the simulation using the non-parametric penalized spline (PSPLINE) method and studied the effect on rice production in Lampung. It can be concluded that the increasing fluctuation, frequency, and intensity of climate anomalies in the last decade caused by the ENSO phenomenon have an impact on changes in distribution patterns, intensity, and period of the wet season so that the start of the rainy season and the dry season becomes too late. As a result, there is a seasonal shift from normal average conditions that can ultimately have severe implications for food crops. In a nutshell penalized spline gives high accuracy with R 2 = 96.227% and MAPE = 1.62%.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Minimizing thin film thickness in TiN coatings using genetic algorithms

引用

AIP Conference Proceedings 2018年第1期2016卷

作者： M. I. Jarrah A. S. M. Jaya M. A. Azam M. R. Muhamad H. Akbar 1Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka (UTeM) Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia 2Faculty of Manufacturing Engineering Universiti Teknikal Malaysia Melaka (UTeM) Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia 3Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Optimization of coating parameters is important in the machining process, as an optimized coating layer enhances efficient machining result by providing high wear resistance, saving time and effort, reducing cost, increasing productivity and leading to extend tool life for better surface finish. In terms of tool wear resistance, tools with suitable film coating are forty times better than uncoated tools. Cutting tools are usually coated by Titanium Nitride (TiN), since it has properties such as resistance to wear and hardness resulting in increased cutting performance. Genetic algorithms (GAs) belong to the powerful artificial intelligence optimization family of evolutionary algorithm-based metaheuristic techniques. Since their inception, they have been successfully applied in numerous areas of industrial sectors as material design, tools coating and cutting, alloy design, and so on. In this research work, predicting thin film coating thickness of titanium nitride (TiN) on tungsten carbide (WC) inserts is presented. First, (WC) inserts were coated by TiN in different conditions using Physical Vapor Deposition (PVD), and the surface profilometer was used to measure thickness of the WC coated specimens. Second, Response Surface Methodology (RSM) was used to generate the objective function which represents the process parameters and coating thickness. Third, using a fitness function model, GAs were established to optimize the thickness value of TiN layer with respect to changes in three process parameters, namely Nitrogen gas pressure (N2), Argon gas pressure (Ar), and Turntable Speed (TT). Finally, for performance measurement, three real experimental tests were carried out in terms of Prediction Interval (PI) and Residual Error (e) to validate the RSM model. The actual coating thickness of validation data fell within the 95% (PI) and the (e) values percentage were very low. In terms of optimization, GAs is capable optimizing thickness better than the average experimen

关键词：

来源：评论

学校读者我要写书评

暂无评论

Search results side note: Creating information search context in creative design process 11

Search results side note: Creating information search contex...

引用

11th International Conference on Knowledge, Information and Creativity Support Systems, KICSS 2016

作者： Jambak, Muhammad Ikhwan Yusof, Shafiz Affendi Bin Mohd Binus Graduate Program Computer Science Bina Nusantara University Jl. Kebon Jeruk Raya No. 27 Jakarta Barat11530 Indonesia Faculty of Engineering and Information Sciences University of Wollongong in Dubai Knowledge Village Dubai United Arab Emirates

ISBN: (纸本)9781509051304

Information involves in design process, and in fact designing is an activity of converting data, information and knowledge into a map and guidance of creating an artifact. Unfortunately, the existing instruments that supporting designers' information search do not fit to them in term of their naturally way of doing so. This research is aimed at developing an information search application purposely for designers especially in the creative design process. And this paper will focus on the development and implementation a so called Search Result Side Note application. © 2016 IEEE.

关键词： Information retrieval

来源：评论

学校读者我要写书评

暂无评论

The implementation of computer based instruction model on Gost Algorithm Cryptography Learning

引用

IOP Conference Series: Materials science and Engineering 2018年第1期420卷

作者： Tonni Limbong Janner Simarmata ARS Tambunan Parulian Siagian Joel Panjaitan Lestina Siagian Erbin Sitorus Marvin Frans Sakti Hutabarat Abba Suganda Girsang Katen Lumbanbatu Universitas Katolik Santo Thomas Jalan Setia Budi No. 479 F Tanjung Sari Tj. Sari Medan Selayang 20132 Medan - Indonesia Universitas Negeri Medan Jalan Willem Iskandar Pasar V Medan 20221 Medan - Indonesia Universitas HKBP Nommensen Jalan Sutomo No.4A Perintis Medan Timur 20235 Medan - Indonesia Akademi Teknik Deli Serdang Jl. Sultan Hasanuddin Tj. Garbus Satu Lubuk Pakam 20518 Deli Serdang – Indonesia Institut Sains dan Teknologi TD Pardede Jl. Dokter TD Pardede No. 21 Medan Baru 20152 Medan – Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia STMIK Kaputama Jl. Veteran No. 4A - 9A Tangsi 20714 Binjai - Indonesia

The objective of this study is to develop learning media by using the computer Based Instruction (CBI) model for GOST algorithm cryptographic material (Gosudarstvennyi Standard). Besides, the study serves to present learning using computer media, especially in the Informatics Engineering study program. The method used in this study uses the Research and Development (R & D) method. The results of this development research are learning media products in the form of tutorial CDs with the contents of the material: GOST Cryptographic Theory, Encryption Process and Decryption process using alphabet text data. Based on the results of the application and testing of the program, it can be concluded that this application is easy to use. Learning the Gost algorithm in the encoding method utilizing the computer Based Instructions (CBI) method helps to understand the material and facilitate the learning process.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Nearest greedy for solving the waste collection vehicle routing problem: A case study

引用

AIP Conference Proceedings 2017年第1期1905卷

作者： Nur Azriati Mat Aida Mauziah Benjamin Syariza Abdul-Rahman Antoni Wibowo 1Department of Decision Science School of Quantitative Sciences College of Arts & Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia 2Department of Decision Science School of Quantitative Sciences College of Arts & Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia 3Department of Decision Science School of Quantitative Sciences College of Arts & Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia 4Computer Science Department Binus Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

This paper presents a real case study pertaining to an issue related to waste collection in the northern part of Malaysia by using a constructive heuristic algorithm known as the Nearest Greedy (NG) technique. This technique has been widely used to devise initial solutions for issues concerning vehicle routing. Basically, the waste collection cycle involves the following steps: i) each vehicle starts from a depot, ii) visits a number of customers to collect waste, iii) unloads waste at the disposal site, and lastly, iv) returns to the depot. Moreover, the sample data set used in this paper consisted of six areas, where each area involved up to 103 customers. In this paper, the NG technique was employed to construct an initial route for each area. The solution proposed from the technique was compared with the present vehicle routes implemented by a waste collection company within the city. The comparison results portrayed that NG offered better vehicle routes with a 11.07% reduction of the total distance traveled, in comparison to the present vehicle routes.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Recursive Background Subtraction Algorithms for Real-Time Passenger Counting at Bus Rapid Transit System

引用

Procedia computer science 2015年 59卷 445-453页

作者： Jonathan Samuel Lumentut Fergyanto E. Gunawan Diana School of Computer Science Bina Nusantara University Jl. K. H. Syahdan 9 Jakarta 11480 Indonesia Binus Graduate Program Bina Nusantara University Jl. Kebon Jeruk Raya No. 27 Jakarta 11480 Indonesia

This work discusses a method to count the number of passengers waiting in Bus Rapid Transit station. The proposed system relies on computer vision technique to monitor the movement of passengers crossing doors on the station. In this work, three background subtraction techniques, namely, Running Gaussian Average, Gaussian Mixture Model, and Adaptive Gaussian Mixture Model, were used to count the passengers crossing an entrance on a BRT station from a pre-recorded motion picture. The results indicates that the tree algorithms are able to identify the passenger crossing with a reasonable high level of recall and but low level of precision. These results indicates that many false positives are identified by the three algorithms. In addition, the empirical data indicate that the three algorithms tend to have better performance with higher value of the learning rate.

关键词： computer vision Passenger counting system Background subtraction Bus rapid transit

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：