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Assessment of the implementation of customer relationship management systems to support the competitive advantage of the company

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IOP Conference Series: Earth and Environmental science 2021年第1期747卷

作者： W Sardjono M N F Izrullah E Selviyanti M Mukhlis G R Putra Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Health Department Politeknik Negeri Jember Jember Jawa Timur Indonesia 68124 Faculty of Teacher Training and Education State Islamic Institute of Jember Indonesia Indonesia Computer Science Study Program Faculty of Mathematics & Natural Sciences Pakuan University Bogor Indonesia

The purpose of this study is to look for factors, indicators, and build a model of readiness for effective and efficient implementation in order to answer the problems that arise at PT XYZ related to the readiness of Customer Relationship Management (CRM) implementation. The research method used is the method of collecting data by observing, interviewing, and distributing questionnaires to respondents using the CRM Value Chain theory as a conceptual framework and the research method used in this research is factor analysis to process data obtained from questionnaires. In this study managed to get new factors along with the constituent indicators of these factors as well as an ideal readiness model. It can be concluded that factors related to the readiness of implementing Customer Relationship Management among others are Customer Service Information, Customer Relations Value, Lack of Service and Communication.

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Mobile Application for Tire Sensor as Implementation Internet of Things in Transportation

Mobile Application for Tire Sensor as Implementation Interne...

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International Conference on Cyber and IT Service Management (CITSM)

作者： Bravio Pranatta Jonathan Carstensz Michael Jihanda Nicholas Liundi Diana Teresia Spits Warnars Harco Leslie Hendric Spits Warnars School of Computer Science Bina Nusantara University Jakarta Indonesia School of Information System Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

This paper headed to the role of the Internet of Things in transportation life and as one of an important thing, the Internet of Things (IoT) is getting grow and grow every day. Slowly but sure, IoT enters our experience in all things. Different visions of this IoT are reported and enabling technologies reviewed. What appears is that still significant issues must be faced by the research community. The technology that relates to IoT is still in development until now, and soon it will be used in human life. IoT embraced people to bring welfare and efficiency for every activity, played the role of technology development; IoT also shows people to think and invent more technology for every application such as vehicle and smart cities. Once it was implemented, the IoT will bring efficiency and make the activity more comfortable than before. The development of IoT also creates a vision for everybody, because it opens people's minds to technology development. Smart transportation will also be implemented in every city, and soon it will become a smart city. The efficiency and human development will pay the resources, technologies, contributions, and all works from scientists and researchers with transportation.

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Critical Success Factor of Information Technology Implementation in Supply Chain Management: Literature Review 5

Critical Success Factor of Information Technology Implementa...

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5th International Conference on Information Technology, computer and Electrical Engineering, ICITACEE 2018

作者： Fernando, Erick Surjandy Warnars, Harco Leslie Hendric Spits Meyliana Kosala, Raymond Abdurachman, Edi Computer Science Department BINUS Graduate Program - Doctor of Computer Science Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Computer Science Department Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538655276

The main objective of this research is to explore the success factors of implementation information technology (IT) in supply chain management. The method used is a literature review with meta-analysis approach, meta-analysis used by using keywords that describe the search. The results of this study found 56 success factors, after further analysis found 21 success factors are very influential from the implementation IT, among others: Efficient, Integration, Cost, Effectiveness, Communication, Ability, Timeliness, Accurate, Accurate, Performance, Coordination, Flexible, Automation, Quality, Transparent, Real-Time, Responsiveness, Trust, Speed, Completeness, Relationships, Suitability. This factor gives the company the desire to implement IT in the supply chain. The application of IT has a positive influence on all supply chain activities so it can improve the processes that occur within the company from purchasing raw materials, production processes, logistics, customer service. All this gives the opportunity for a company to compete globally with others. © 2018 IEEE.

关键词： Supply chain management

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Replication System of Oracle Database Standard Edition by Utilizing Traditional Archived Log

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Procedia computer science 2018年 135卷 140-146页

作者： Aria Sukma Suharjito Diana Computer Science Department BINUS Graduate Program- Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

This article will be described replication system of oracle database standard edition by utilizing traditional archived log, because in this database version doesn’t have replication feature like in oracle database enterprise edition. The research methodology which being used by this research are data collection, analysis, and design. Literature study is used for data collection methods. Analyze current replication system such as data-guard and Golden-gate are used for analysis methods. Design is method by development of prototype application to run extract, transport and recovery function for source and target database. The result of this research is a replicator application prototype for oracle database standard edition by utilizing traditional archived log was created by transaction at database. The conclusions of this are replication performance by utilizing traditional archived log has quite similarly function compared by data-guard that exist in Oracle enterprise edition in terms of data replication

关键词： Application Replication systems Replication Database Replication Oracle Database Standard Edition

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Optimization Sentiments of Analysis from Tweets in myXLCare using Naïve Bayes Algorithm and Synthetic Minority Over Sampling Technique Method

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Journal of Physics: Conference Series 2020年第1期1471卷

作者： Dedi Dwi Saputra Windu Gata Nia Kusuma Wardhani Ketut Sakho Parthama Hendra Setiawan Sularso Budilaksono Dimas Yogatama Agus Hadiyatna Endah Putri Purnamasari Bryan Pratama Deny Novianti Master of Computer Science-Postgraduate Program Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri Jakarta Indonesia Graduate School Master's Degree Computer Science Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri Jakarta Indonesia Master Faculty of Computer Science-Postgraduate Program University of Mercubuana Jakarta Indonesia Graduate School Master's Degree Computer Science University Paramita Indonesia Jakarta Indonesia Graduate School Master's Degree Computer Science STMIK Bani Saleh Jakarta Indonesia Graduate School Master's Degree Computer Science University of Persada Indonesia YAI Jakarta Indonesia Graduate School Master's Degree Computer Science University of Gadjah Mada Jakarta Indonesia

Text mining can be used to classify opinions about complaints or not complaints experienced by XL customers. This study aims to find and compare classifications in the sentiments of analysis from the view of XL customers. This dataset was derived from tweets of XL customers written on myXLCare Twitter account. In text mining techniques, 'transform case', 'tokenize', 'token filters by length', 'n-gram', 'stemming' were used to build classification and sentiments of analysis. Gataframework tools were used to help during preprocessing and cleansing processes. RapidMiner is used to help create the sentiment of analysis to search and compare two different classifications methods between datasets using the Naïve Bayes algorithm only and Naïve Bayes algorithm with Synthetic Minority Over-sampling Technique (SMOTE). The results of the two methods in this study found that the highest results were using the Naïve Bayes algorithm with Synthetic Minority Over-sampling Technique (SMOTE) with an accuracy of 86.33%, precision 82.85%, and recall ratio 92.38%.

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Implementation of Database Massively Parallel Processing System to Build Scalability on Process Data Warehouse

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Procedia computer science 2018年 135卷 68-79页

作者： Fajar Ciputra Daeng Bani Suharjito Diana Abba Suganda Girsang Computer Science Department BINUS Graduate Program- Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

The problem with telecommunications companies today is that transactional data is more extensive than existing source tables. This makes business reporting less efficient and overwhelms query processing results in data warehouses so that they do not meet business requirements. The fast and complex evolution of the digital world must be scalable to the data warehouse process, so that the authors implement it in the data warehouse using massive parallel processing (MPP) with the Greenplum database, so that business users can get reports faster and more optimally. This case study explains how the MPP system implements and measures the performance of the Greenplum database by performing complex queries in the data warehouse with parallel processing. Therefore, this case study analyzes whether the use of MPP systems can measure the scalability of throughput and the response time in the data warehouse so that system performance in the Greenplum database remains stable for daily, weekly, and monthly operations.

关键词： Data Warehouse Massively parallel processing Greenplum ETL

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Human Anatomy Learning Systems Using Augmented Reality on Mobile Application

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Procedia computer science 2018年 135卷 80-88页

作者： Michael H Kurniawan Suharjito Diana Gunawan Witjaksono Computer Science Department BINUS Graduate Program- Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Students generally experience difficulties in learning human body anatomy due to constraints to visualize the body anatomy from 2D into 3D image. This research aims to develop a human anatomy learning system using augmented reality technology. By using this system, it is expected that students can easily understand the anatomy of the human body using a 3D image visualization. The method used in this system is augmented reality marker on mobile computing platform. The marker is captured by taking a picture. Then, the captured image is divided into pieces and the pattern is matched with images stored in the database. In this research, we use Floating Euphoria Framework and combine it with the SQLite database. Augmented reality anatomy system of the human body has features that can interactively display the whole body or parts of the human organs. To evaluate the usefulness of the application, we tested the augmented reality anatomy system with high school students and medical students for learning the anatomy of the human body. The results show that the human anatomy learning system with interactive augmented reality visualization helps students learn human anatomy more easily.

关键词： Augmented Reality Human Anatomy Learning Android Application

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Waiting-Time Estimation in Bank Customer Queues using RPROP Neural Networks

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Procedia computer science 2018年 135卷 35-42页

作者： Rinda Parama Satya Hermanto Suharjito Diana Ariadi Nugroho Computer Science Department BINUS Graduate Program- Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480

In daily banking customer queues, unknown waiting-time could lower customer experience. Little’s Law formula in Queue Theory provides a generic formula for waiting-time, but it cannot be implemented directly to give finite wait-time estimation in real-life. This study aims to investigate predictive variables that explain waiting-time duration. This paper uses Fast Artificial Neural Network engine to implement Artificial Neural Networks method. To train Artificial Neural Networks, Resilient Propagation was used. Time-series approach and structural approach for input neuron was compared. Average duration from previous interval and number of server was proposed to increase structural variable like Queue Length and Head of Line Duration estimator variable. To determine the best configuration for number of neuron in input and hidden layer, experimental method was used. The results of this study show that structural approach provides better estimation than time-series approach. Furthermore, modified helper variable combination provides a more refined result.

关键词： waiting-time estimation neural networks time-series queue

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Image Size, Color Depth, Age variant on Convolution Neural Network 1

Image Size, Color Depth, Age variant on Convolution Neural N...

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1st Indonesian Association for Pattern Recognition International Conference, INAPR 2018

作者： Pranoto, Hady Budiharto, Widodo Hendric Spits Warnars, Harco Leslie Matsuo, Tokuro Heryadi, Yaya Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Graduate School of Industrial Technology Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (纸本)9781538694220

Facial recognition as of biometric authentication used in the field of security, military, finance and daily use is become a trend or famous, because of its natural and not intrusive nature. Many methods for face recognition such as holistic learning, the use of local features, shallow learning and deep learning, some methods are susceptible to variations in pose change, illumination, expression and age variation. State of the art of face recognition today is a deep learning technique that delivers high accuracy. In this paper author replicate an face recognition using deep learning architecture called OpenFace Convolutional Neural Network. In this research author make variation on the size of image, color dept and age, and see how that factor impact on accuracy of face recognition in that architecture. As the result from the research, the accuracy of a model depends on the image size, color depth, and age variation, but in OpenFace CNN that recognition still provides fairly good accuracy when reducing the size of image and color depth, as long as the image can still be detected on the landmark facial, so the alignment process can be done on the face image. © 2018 IEEE.

关键词： Face recognition

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Improve Understanding and Dissemination of Disaster Management and Climate Change by Using Knowledge Management Systems

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IOP Conference Series: Earth and Environmental science 2020年第1期426卷

作者： Wahyu Sardjono Harisno Widhilaga Gia Perdana Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Post Graduate Program School of Environmental Science University of Indonesia Jakarta Indonesia

In Law Number 24 Year 2007 concerning Disaster Management, it is stated that the central government and regional governments are responsible for implementing disaster management, with an emphasis on preparedness and mitigation in dealing with natural disasters, as well as based on the provisions of article 1 of Presidential Regulation No. 46 of 2008 concerning the National Council on Climate Change that climate change is a change in average conditions of climate and / or climate diversity from one period of time to another as a result of human activity. However, the socialization of these two matters is not regulated in existing laws and regulations, so that the information dissemination plan and dissemination of the information must be carried out to the community itself. In line with developments in technology and information systems that have entered the era of media convergence, the acceleration of the process of spreading government programs can also be done by using this technology. The SECI method model (Socialization, Externalization, Combination, Internalization) was developed through implementation based on the 'Knowledge Management System Cycle' theory, so that a knowledge management system was formed. The results of research on community preparedness in the application of Knowledge Management Systems (KMS) for natural disaster preparedness and mitigation can be used to support the dissemination and dissemination of disaster management mitigation, global warming, and community-based climate change, including performance measurement of success.

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