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8th International Conference on Orange Technology, ICOT 2020

作者： Kaburuan, Emil Robert Sardjono, Wahyu BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia

ISBN: (纸本)9781665418522

The purpose of this study is to see how factors of knowledge management, customer relationship management, and employment programs that affect the realization of the Organization's performance against. The methods used in the writing of this thesis is the analysis of the path and also by using the study library for searching for reference materials. The results of the analysis conducted States that there are influences from factors of knowledge management, customer relationship management, and an influential work program towards the realization of the Organization's performance. The existence of this research, then obtained a model of organizational performance. © 2020 IEEE.

关键词： Knowledge management

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Customer Segmentation Based On RFM: A Case Study in the context of Pandemic 5

Customer Segmentation Based On RFM: A Case Study in the cont...

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5th International Conference on Cybernetics and Intelligent systems, ICORIS 2023

作者： Mauritsius, Tuga Turmawan, Andrew Herdiansyah, Herdiansyah Bina Nusantara University Binus Graduate Program - Master of Information Systems Management Information Systems Management Department Jakarta11480 Indonesia

ISBN: (纸本)9798350369489

Any pandemic such as Covid-19 forces government's policy to limit people's mobility. It impacted to motorcycle workshop's operational and delaying customers in maintaining their motorcycle quality. Overcoming the situation, workshop business has to choose high value of their customers to optimize their service capacity. This can be done by using customer segmentation. Using segmentation approach, it becomes easier to provide services to targeted specific people with fit offering service package. This study presents customer segmentation using Recency, Frequency and Monetary model. K-Means Clustering is used to study motorcycle customer behavior and validated using Davies Bouldin Index. The clustering result can be used to target high potential customers and deliver motorcycle service for them. © 2023 IEEE.

关键词： Motorcycles

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Effective Use of the Knowledge Management System in Improving Organizational Performance (Case Study in National Energy Company) 2

Effective Use of the Knowledge Management System in Improvin...

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2nd International Seminar on Research of information Technology and Intelligent systems, ISRITI 2019

作者： Ananda, Tiara Putri Budianto, Wahyu Alam, Ibnu Fajar Wang, Gunawan Bina Nusantara University Information Systems Management Department BINUS Graduate Program-Master of Information Systems Management Jakarta11480 Indonesia

ISBN: (纸本)9781728145204

The study aims to know the application of Knowledge Management in national utility company, PT. PLN. Data collection is done through conducting interviews to several stakeholders / employees of PT. PLN that has retired and some still active. The data collection method uses focus group discussion, where it examines a two-way communication between director and employees to discuss the effective way to improve corporate performance. The findings are developed and selected idea are gathered in a special portal for knowledge sharing activities or knowledge of company. It is known as Knowledge Management System (KMS). The article addresses several important factors that leads to implementation and enables to change productivity and increase competitive advantage. © 2019 IEEE.

关键词： Knowledge management

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Customer Clustering and Classification Based on Location and Online Store Transaction: a Case Study 5

Customer Clustering and Classification Based on Location and...

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5th International Conference on Cybernetics and Intelligent systems, ICORIS 2023

作者： Mauritsius, Tuga Dhimathera, Artby Susilo, Arief Ageng Dwi Asima Purba, Yohana Bina Nusantara University Binus Graduate Program - Master of Information Systems Management Information Systems Management Department Jakarta11480 Indonesia

ISBN: (纸本)9798350369489

XYZ Store is an online retailer that offers Rhea Health Tone (RHT), a supplement that helps build immune system strength. Until now, the shop has never contemplated grouping customers and distinguishing successful transactions from failed ones. The research aims to categorize consumers to determine which are purchasing RHT from local retail outlets. It is possible to create a distinction between successful and failed transactions. We have got two datasets to tackle. Tokopedia, an Indonesian marketplace, shared transaction data from its platform spanning three months and 26 days. The second dataset provides additional details, such as the outcomes of the transactions and their dates between September 2020 and June 2021. The purchase data is segmented into five data sets depending on the different locations where data is collected, and the characteristics of the customer base are determined through cluster analysis. This study will help to make market tactics more adaptable via the use of its findings. Based on the results classifications, we figured out that our data had been prepared poorly, which caused an imbalance in data. A better result, more accuracy, and a higher AUC might have been achieved had we prepared adequately. © 2023 IEEE.

关键词： Decision trees

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Event driven process analysis at retail company 12

Event driven process analysis at retail company

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12th International Conference on information and Communication Technology and systems, ICTS 2019

作者： William Fajar, Ahmad Nurul Information Systems Management Department BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781728121338

This study discuss the event drive process analysis in the retail company. Its purpose to modeling the process in these company as an alternative. The use of information systems has become an obligation for companies to survive before deciding which system to use is important to know the business processes of the company. We use the event driven process analysis to be one alternative that can be used to map the existing business model within the company. The research method consist of three phase analysis, such as modeling the existing business process, doing analysis using EPC, and then create new business process. EPC analysis has been widely used by various companies to map the business processes of the company before using the information system that will become the main program of the company. Mapping of business process on retail companies will cover from the purchase of goods from suppliers to the sale of goods to the customer. The result of this study is event driven modeling process for several business process in retail organization. © 2019 IEEE.

关键词： Sales

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IS strategic planning development based on unifled theory of acceptance and use of technology analysis result 8

IS strategic planning development based on unifled theory of...

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8th International Conference on Orange Technology, ICOT 2020

作者： Robert Kaburuan, Emil Sardjono, Wahyu BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia

ISBN: (纸本)9781665418522

PT. XXX is one of the companies in Indonesia engaged in the one stop logistics field which has been working for more than 30 years and located in South Jakarta. The current conditions at that company do not have a good information systems strategy, less use of information systems use and the company only makes a work plan based on the project plan to be taken. Therefore, PT. XXX requires an IS Strategic Planning using Enterprise Architecture. Before implementing the warehouse management system at company, first analyze the readiness of the implementation of the warehouse management system by distributing questionnaires to 200 employee respondents. The model used for this study uses Unified Theory of Acceptance and Use of Technology (UTAUT) Theory. The purpose of this study is look for indicators, and new factors which will later be used to build a new model based on the results of the respondent questionnaire. from the theory model developed into a new model that will form new factors and indicators. From the some factors used then the data the results of the questionnaire processed using factor analysis resulted in 5 new factors, namely, after obtaining 5 new factors, then processed into a new model that has been analyzed using linear regression. © 2020 IEEE.

关键词： Strategic planning

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Real Time Tracking System Integrated with IoT for Package Delivery in Indonesia's Logistic Company with TOGAF Implementation 10

Real Time Tracking System Integrated with IoT for Package De...

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10th International Conference on ICT for Smart Society, ICISS 2023

作者： Wang, Gunawan Listya, Maria Alianto, Hendra Nugroho, D'Mitry Adam BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia

ISBN: (纸本)9798350339543

Indonesia is a country with the highest e-commerce adoption in Southeast Asia with a contribution of up to 50%. The growth of e-commerce has a domino effect on other industries such as the shipping industry (logistic). During the Covid19 pandemic, the purchases within e-commerce have increased tremendously. However, due to the large-scale social restriction and rules imposed by the government, the process of sending packages took longer than the standard delivery. With the increasing number of shipments and so do the shipping problems. This occurs due to the lack of shipping updates that provided by logistics and e-commerce for the buyers. The proposal utilizes the use of Internet of Things (IoT) tracking device to eliminate mishandling delivery purposes. Customers enable to track their packages in real-time and speed up the claims immediately with the couriers or return the product to the nearest dropping point © 2023 IEEE.

关键词： Internet of things

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Predicting Customer Churn of Fire Insurance Policy: A Case Study in an Indonesian Insurance Company 6

Predicting Customer Churn of Fire Insurance Policy: A Case S...

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6th International Conference on Science and Technology, ICST 2020

作者： Jayadi, Riyanto Kelvin, Adrianus Jery Rifyansyah, Pravasta Mufarih, Muhammad Firmantyo, Hafizh Maulana Binus Graduate Program - Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia

ISBN: (纸本)9781728194721

In an Indonesian insurance company, since 2015, the value of the fire insurance policy portfolio increases from year to year in an Indonesia insurance company. However, the retention rate of their consumers who extend their insurance policies showing a downward trend. In this study, we showcase the application of the Decision Tree model and the Naïve Bayes model to predict loyal or disloyal customers on their insurance subscription. The decision tree model produces better accuracy of 92.4 percent compared with Naïve Bayes model accuracy 82.9 percent. These predictions model help the company to create a more effective marketing strategy by accurately predicting its consumer churn behavior. © 2020 IEEE.

关键词： Decision trees

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Evaluation of the used of visual electronic banking system application using UTAUT 2 in Bank Central Asia corporation 2

Evaluation of the used of visual electronic banking system a...

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2nd Nommensen International Conference on Technology and Engineering, NICTE 2018

作者： Fajar, Ahmad Nurul Johanes, Frits Septian Girsang, Abba Suganda Wang, Gunawan Information Systems Management Department BINUS Graduate Program-Master of Information System Management Bina Nusantara University Jakarta Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information System Management Bina Nusantara University Jakarta Indonesia Infor. Systems Management Department BINUS Graduate Program-Master of Information System Management Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

The purpose of this study is to determine the factors that encourage the use of visual electronic banking system (VEBS) application in Bank Central Asia Corporation, and provide an idea to increase the use of VEBS. This study using UTAUT 2 model approach. The primary data obtained from interviews, direct observation and questionnaires that distributed and processed using SEM-PLS. The results of this study provide qualitative calculation results of UTAUT 2 variable. The conclusion obtained that interest of the use of application VEBS affected by variables facilitating condition, performance expectancy and behavioral intention. From these conclusions this study provided an idea to the future development of application's features for more effective and efficient use. © Published under licence by IOP Publishing Ltd.

关键词： Surveys

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Optimizing warpage in semiconductor packaging using GA-NN and conditional GAN with explainable AI

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Computers and Industrial Engineering 2025年 206卷

作者： Wang, Hung-Kai Lin, Yan-Cheng Chen, Tang-Yuan Wang, Chen-Chao Hung, Chin-Pin AIMS Fellows Executive Master Program National Tsing Hua University Hsinchu Taiwan Institute of Manufacturing Information and Systems National Cheng Kung University Tainan Taiwan ASE Technology Holding Co. Ltd Taiwan

In semiconductor packaging, preventing product warpage remains challenging due to the complex interaction between product specifications and process conditions. Physics-based models are efficient but fail to capture nonlinear effects, while statistical methods require large datasets that are often impractical to collect in real manufacturing. Improving prediction accuracy under limited data conditions has thus become a critical issue. This study proposes a deep learning system framework that combines genetic algorithms and artificial neural networks (GA-NN). In addition to optimizing the prediction of warping parameters, the proposed GA-NN effectively improves the convergence speed and prediction accuracy. The SHapley additive explanation (SHAP) method is implemented into the neural network to improve the interpretability of the model. The conditional table generative adversarial network (CTGAN) is used for data augmentation and feedback application, combined with the search algorithm to complete the optimal parameter feedback. Experimental validation reveals that the presented methodology attains approximately 97.3% predictive accuracy in semiconductor package warpage estimation tasks, evidently surpassing conventional machine learning models, namely Random Forest (61.9%), SVR (68.7%), and baseline ANN configurations (90.0%). In contrast to prior methods, this study enhances computational throughput, predictive precision, and interpretable visualization correlating package design variables with deformation outcomes. Meanwhile, the proposed approach improves packaging warpage estimation processes, design cycle compression, and manufacturing-level product reliability elevation. © 2025 Elsevier Ltd

关键词： Deep learning

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