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7th International Conference on Cyber and IT Service Management, CITSM 2019

作者： Utama, Ditdit Nugeraha BINUS Graduate Program Master of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728129099

This paper purposes an improved algorithm of the butterfly lifecycle for calculating the performance of the company's growth. Three types of change for the better are regarding mathematical model, conception in calculating the growth performance parameters, and also data operated practically for testing the proposed algorithm. Three simple stages of study conducted are previous study-re-analyzing and re-reviewing, mathematical model constructing, and model testing. Here, roulette-wheel technique was technically functioned to generate probability of positive and negative factor values;that influence the performance of artificial butterfly's metamorphoses process (also could affect the quality of butterfly finally). Nineteen mathematical equations successfully produced are able to perfect the previous algorithm, particularly in the detailed calculation of performance in every single stage of metamorphoses. Conclusively, a balanced scorecard approach adopted as conception in calculating the company's internal aspect performance that benefited from testing the new improved algorithm. Similar to the previous study, the company's external factors considered as well in stage of model testing. © 2019 IEEE.

关键词： Wheels

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Identifying Patterns in Dental Visit Attendance Among Pregnant Women: A Retrospective Cohort Study

AJPM Focus

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AJPM Focus 2025年第2期4卷 100322-100322页

作者： Al Jallad, Nisreen Manning, Samantha Mao, Xinyue Mehta, Parshad Wu, TongTong Cacciato, Rita Luo, Jiebo Li, Yihong Xiao, Jin Eastman Institute for Oral Health University of Rochester Medical Center Rochester New York United States Department of Biostatistics and Computational Biology University of Rochester Medical Center Rochester New York United States Master of Public Health Program Department of Public & Ecosystem Health Cornell University Ithaca New York United States Department of Computer Science University of Rochester Medical Center Rochester New York United States

Introduction: Understanding the factors influencing dental care utilization is crucial for enhancing treatment adherence and outcomes. This study evaluates dental care–seeking patterns among pregnant women in low-income community. Methods: The authors analyzed data from 311 pregnant patients and 1,111 visits (2019–2022) synchronized from dental and medical records. The primary outcome was showing up for scheduled dental visits. To identify visit-attending patterns, the authors used a model-based clustering method to cluster longitudinal data with categorical outcomes. A penalized generalized linear mixed-effects model was applied to identify relevant variables for the visit attendance trajectories within each cluster. Results: The study participants comprised 49.6% Black, 32.2% White, and 12.5% Hispanic women. The majority (89.07%) were holding Medicaid insurance. Among the 1,111 scheduled visits, 432 resulted in no-shows (38.8%), including failed and canceled appointments. The authors identified 3 distinct clusters of visit-attending patterns on the basis of their show-up rates: low demand/low appointment risk (85% attendance), high demand/high appointment risk (57% attendance despite multiple scheduled visits), and moderate demand/high appointment risk (55% attendance with fewer scheduled visits). Various determinants, such as race;age;inner-city residence;appointment timing;the COVID-19 era;type of scheduled dental treatment;and prior medical visits for conditions such as anxiety, depression, hypertension, and allergies, influenced the visit-attending behaviors within each patient group. Conclusions: The innovative clustering approach of this study successfully identified dental care–seeking patterns among pregnant women, suggesting its applicability to a broader demographic. Identifying potential modifiable factors that could enhance attendance at dental visits is essential for improving oral healthcare outcomes among underserved pregnant patients. © 2025 The Au

关键词： care-seeking patterns Pregnancy prenatal oral healthcare social determinants of health

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Six Sigma for Evaluating Electronic Signature in eProcurement System: A Case Study 4

Six Sigma for Evaluating Electronic Signature in eProcuremen...

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4th Asia Pacific Conference on Research in Industrial and Systems Engineering: Building Business Resilience to Face the Challenge in Pandemic Era, APCORISE 2021

作者： Nugroho, Eko Cahyo Saputra, Herry Gunarso, Davy Yeria Wibowo, Antoni Utama, Ditdit Nugeraha Computer Science Department Binus Graduate Program Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781450390385

Six-sigma is an approach to appraise a company's prospect in generating a number of piece with homogenized processes without any production defects or zero faults. It is operated not only for declining defect numbers, but also for reducing the company's imperfection itself. It means, company is able to decrease the cost (in term of money or time), also to increase the efficiency by evaluating current process and planning to improve company management process. In this study, six-sigma benefited to determine the success level of implementation of e-signature application in e-procurement system based on user experience rate. Conclusively, the implementation of "change management"has enhanced the business process in detail, while it was still in the equivalent sigma level 2. © 2021 Owner/Author.

关键词： Six sigma

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A Smart Fuzzy Decision Model for Anticipating Household Expenditure Shifts in Response to Fluctuating Fuel Prices in Indonesia 10

A Smart Fuzzy Decision Model for Anticipating Household Expe...

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

作者： Fericia, Frans Gunawan, Jeremy Ansellino Utama, Ditdit Nugeraha BINUS Graduate Program Master of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350339543

Analyzing the impact of fuel price increases in Indonesia is crucial for making informed strategic decisions. This paper presents a smart fuzzy decision model aimed at predicting changes in household spending in response to fuel price fluctuations. The model utilizes fuzzy logic as its main method, enabling it to capture the intricate relationships between household spending and fuel prices. In addition, the proposed model incorporates various factors that can potentially influence household spending. By simulating prediction results under different fuel price increments ranging from 0% to 30%, the model provides valuable insights for policymaking concerning fuel pricing and offers strategies to mitigate the impact of fuel price fluctuations on household welfare. © 2023 IEEE.

关键词： Fuzzy logic

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Software Metrics for Container-Based Applications: Systematic Literature Review 8

Software Metrics for Container-Based Applications: Systemati...

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8th International Conference on Information Management and Technology, ICIMTech 2023

作者： Al Qausar, Muhammad Juan Soeparno, Haryono Gaol, Ford Lumban Arifin, Yulyani Bina Nusantara University Binus Graduate Program - Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350326093

Containerization has become a popular approach in application development in applications development and deployment, many benefits we can get such as improved scalability, portability, and resource efficiency. Container-based applications, utilizing technologies like Docker and Kubernetes, have transformed the packaging, deployment, and management of software from the desktop environment to the cloud platform. In this context, software metrics approach plays a good role in evaluating the characteristics and performance of container-based applications, ensuring that developers and operators are on the same page. This article explores the importance of software metrics in optimizing the software lifecycle of container-based applications, addressing the unique challenges they present, and highlighting the potential benefits of leveraging metrics to improve performance and efficiency. Our finding Performance Metrics and Availability Metrics is the most metrics that the most measure by applications owner, relevant studies and industry practices, this study aims to provide insights and recommendations to effectively measure and optimize region-based software systems. © 2023 IEEE.

关键词： Containers

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Service Oriented Fuzzy Smart Model for Agriculture Investment of Hydroponic Green-Leaf Vegetable Plant 10

Service Oriented Fuzzy Smart Model for Agriculture Investmen...

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

作者： Utama, Ditdit Nugeraha Bina Nusantara University BINUS Graduate Program Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350339543

An integrated approach is necessary for implementing a model that involves multiple actors. One effective way to achieve this is through a service-oriented approach. The objective of the study was to develop a service-oriented fuzzy model, which combines the functional-structural plant modelling (FSPM) method for the plant computational model (PCM) and the fuzzy logic method for both PCM and the decision support model (DSM). This combined method aims to model the plant behaviour morphologically and propose investment decisions in agriculture, specifically for the hydroponic cultivation of Bok Choy, a green-leaf vegetable. The accuracy of the interconnected model application based on the service concept, known as the service-oriented fuzzy smart model (SOFSM), reached 94.33%. © 2023 IEEE.

关键词： Hydroponics

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A review of traffic violation detection technology in reporting mechanism 2

A review of traffic violation detection technology in report...

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2nd International Conference on Biospheric Harmony Advanced Research, ICOBAR 2020

作者： Alaydrusl, A. Putra, W.K. Nugroho, Y. Muhammad Surantha, N. Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Traffic Violation Detection system using radio frequency identification (RFID) has been applied to detect vehicles with limited power sources through RFID Tag. Camera sensors are also applied to identify a vehicle and its plate number through image and video processing known as computer vision. On the other hand, vehicular ad hoc network (VANET) to gain information about location, speed, and so on through the vehicle-to-vehicle (V2V) connection. Lastly, the internet-of-things that is backed-up by cloud computing helps to store various information from each of these technologies and process them to get results. Many researchers have proposed and developed algorithms or technology with astonishing experimental results of them. However, there has been no review of the integration and reporting mechanism that correlates them. There has also been no review about how to connect the information to the authority and violator. Therefore, the review was made to explain each technology's method with their experiment's results and issues. Moreover, the future challenge also had been given to further research. © Published under licence by IOP Publishing Ltd.

关键词： Vehicles

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Website Personalization Using Association Rules Mining 1

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International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2022

作者： Soewito, Benfano Johan, Jeffrey Computer Science Department Master of Computer Science BINUS Graduate Program Bina Nusantara University Jakarta11480 Indonesia

ISBN: (数字)9783031290787

ISBN: (纸本)9783031290770

Many companies are redefining their business strategies to improve the business output. Business over internet provides the opportunity to customers and partners where their products and specific business can be found. Web usage mining is the type of web mining activity that involves the automatic discovery of user access patterns from web servers. A real-world challenging task of the web master of an organization is to match the needs of user and keep their attention in their web site. So, web pages can capture the intuition of the user and provide them with the recommendation list. Personalize e-commerce website is done after knowing the habits and behavior patterns of customers e-commerce website using web usage mining with association rules mining apriori algorithms. The method used is a method of analysis and design. In the method of analysis, research variables are determined, and data of sales are collected. In addition, the method of analysis is also performed to measure the accuracy of the apriori algorithm. Designing apriori, program design, and the design of the screen is done in the design method. Results are achieved in the form of an e-commerce website that is personalized using association rules mining apriori algorithm that can recommend the goods in accordance with the preferences and needs of the user. The conclusion of this study is to obtain patterns of association, it takes the data transactions made by customers and the recommendations given by the apriori algorithm would be more accurate if the transaction data is processed more, the categories of goods are fewer, the limit minimum value of support and the limit minimum value of confidence are high. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Websites

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Automation testing using silk test workbench for website 7

Automation testing using silk test workbench for website

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7th International Conference on computer science and Computational Intelligence, CSCI 2022

作者： Parapat, Feliks Abedyoga Chandra Kusuma, Gede Putra Majiid, Muhammad Rizki Nur Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta 11480 Indonesia

Automation testing is essential to carry out functional testing quickly and precisely. Software testing is beneficial for testers doing many testing processes according to the existing scenarios. So, there is an urgency to explore a more advanced solution to replace the traditional approach. Silk Test Workbench is a tool for automation testing that can accelerate the functional testing of complex applications. For this research, we proposed automation testing on website applications with various testing scenarios that have been made. The visual test recording method is used for automation testing with Silk Test Workbench. Silk Test Workbench can speed up testing time, make a good test asset testing scenario, make it easier for users to do testing, and speed up the process to get the result in the form of a screen capture of the testing process. A comparison of testing time has been performed. The automatic testing time with the scenarios is 2 hours 46 minutes. The automatic testing time will be 2 hours 36 minutes using the all-in-one scenario. This study also used questionnaires from colleagues in the Quality Assurance field to get maximum User Acceptance Test results. © 2022 Elsevier B.V.. All rights reserved.

关键词： Websites

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Geometric verification method of best score increasing subsequence for object instance recognition 6

Geometric verification method of best score increasing subse...

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6th International Conference on Information Technology, computer and Electrical Engineering, ICITACEE 2019

作者： Kusuma, Gede Putra Harjono, Kristopher David Dwi Putra, Muhammad Taufik Bina Nusantara University BINUS Graduate Program Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781728126890

Weighted Longest Increasing Subsequence (WLIS) and its improvement, Best Increasing Subsequence (BIS) are two methods that has been proposed for pair verification in object instance recognition using local features. Tested on the Stanford Mobile Visual Dataset (SMVS), the BIS achieves better performance than WLIS on most categories, except for the 'video frames' category. In this paper we propose several modifications to BIS which resulted in a better overall performance compared to the WLIS and the basic BIS approaches. On average, the proposed Best Score Increasing Subsequence (BSIS) performs 4.53% better than the BIS and 9.43% better than the WLIS. © 2019 IEEE.

关键词： Object recognition

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