检索结果-内蒙古大学图书馆

2nd International Conference on Vocational Education and Technology, IConVET 2019

作者： Supriana, C.E. Informatics Engineering Study Program Faculty of Engineering Pasundan University Bandung Indonesia

Database lectures in the informatics engineering study program teach the life cycle of database system development, both in terms of concepts, utilization, administration to database application systems to be studied, practiced and understood by students. Database teaching in the informatics engineering department of a private university with very diverse student participants, the ability to master computer and information technology and skills requires teaching material, lecturing strategies, lecturer quality, and facilities must also be able to adjust toward challenges, concept development, and database technology. This database design research model used Hevner's information systems research framework, starting with reference research, database lecture analysis, rigor and research relevance. This research covered the steps of constructing artifacts in the form of constructs, models, methods, instantiation, and evaluation of artifacts. The use of the framework intended to support business strategies and processes in study programs and ensure the relevance of research. The benefits of this research will produce a database lecture model that can be used as a reference and lecture development in the informatics engineering study program. Reference to produce graduates with understanding and skills in database design, the use of Database Management System (DBMS), the ability in administration and professional capability in the database field. This research will be relevant to the study program environment as well as scientific benefits in research and database teaching. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Database systems

来源：评论

学校读者我要写书评

暂无评论

System Design Teaching Model in informatics engineering Study program 1

System Design Teaching Model in Informatics Engineering Stud...

引用

1st International Conference on Vocational Education and Technology, ICONVET 2018

作者： Supriana, C.E. Informatics Engineering Study Program Faculty of Engineering Pasundan University Bandung Indonesia

Design teaching which is part of the system development life cycle, both information systems and application systems is very important to be taught, learned and understood in the informatics engineering study program. System design teaching in private universities in Indonesia whose students are very diverse in terms of abilities and skills require teaching materials, lecture strategies, quality of lecturers and facilities that must also be able to adapt to the challenges and complexity in teaching. The study of system design teaching uses Hevner's information systems research framework which includes the steps of constructing artifacts in the form of constructs, models, methods, instances and evaluation of artifacts using case study in informatics engineering lecture. The use of the framework is intended to support business strategies and processes in study programs and to ensure the relevance of research. The result of research is a model and evaluation of the model. First, this research will produce a system design teaching model that can be used as a reference in the informatics engineering study program to produce graduates with good literacy, skills using the stages of system design, understanding user needs and system design capabilities. Second, evaluating the model that has been built by applying it to the case study on human computer interaction lecture and measuring the results of lectures to improve the quality of lecture material, teaching and students. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Designing database lecture model in informatics engineering study program

引用

Journal of Physics: Conference Series 2020年第1期1516卷

作者： C E Supriana Informatics Engineering Study Program Faculty of Engineering Pasundan University Bandung Indonesia

关键词：

来源：评论

学校读者我要写书评

暂无评论

System Design Teaching Model in informatics engineering Study program

引用

Journal of Physics: Conference Series 2019年第1期1165卷 012013-012013页

作者： Supriana, C E Informatics Engineering Study Program Faculty of Engineering Pasundan University Bandung Indonesia

Design teaching which is part of the system development life cycle, both information systems and application systems is very important to be taught, learned and understood in the informatics engineering study program. System design teaching in private universities in Indonesia whose students are very diverse in terms of abilities and skills require teaching materials, lecture strategies, quality of lecturers and facilities that must also be able to adapt to the challenges and complexity in teaching. The study of system design teaching uses Hevner’s information systems research framework which includes the steps of constructing artifacts in the form of constructs, models, methods, instances and evaluation of artifacts using case study in informatics engineering lecture. The use of the framework is intended to support business strategies and processes in study programs and to ensure the relevance of research. The result of research is a model and evaluation of the model. First, this research will produce a system design teaching model that can be used as a reference in the informatics engineering study program to produce graduates with good literacy, skills using the stages of system design, understanding user needs and system design capabilities. Second, evaluating the model that has been built by applying it to the case study on human computer interaction lecture and measuring the results of lectures to improve the quality of lecture material, teaching and students.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Cognitive Assessment of Students Using Testing Instruments on Computer Networks Courses in informatics and Computer engineering Education Study program at UNJ 8

Cognitive Assessment of Students Using Testing Instruments o...

引用

8th International Conference on Education and Technology, ICET 2022

作者： Duskarnaen, Muhammad Ficky Sastrawijaya, Yuliatri Ajie, Hamidillah Arrazi, Muhammad Fakhruddin State University of Jakarta Informatics and Computer Engineering Education Study Program Jakarta Indonesia

ISBN: (数字)9781665492140

ISBN: (纸本)9781665492140

This study aims to design an assessment instrument to assess students' cognition in computer networking lessons. The design and design of the test instrument followed the ADDIE model, from the analysis stage to determine student targets and characteristics, then the design stage, determining learning objectives, learning material design, and question grids, at this stage the number of Subject Matter Experts (SME) was also determined as many as 6 people, for 6 Subject Matter Experts (SME), the minimum acceptable Content Validation Ratio (CVR) is 0.99, while the Content Validation Index (CVI) is 0.83. At the development stage, 81 items were designed as a draft assessment instrument. At the implementation stage, the Subject Matter Experts (SME) assessed each item on the draft assessment instrument. This study uses a quantitative content validity approach from the Lawshe model with a 3-point scale as follows: essential, useful but not necessary, and non-essential. Each Subject Matter Expert (SME) was given an instrument to assess each item in the test instrument. The Subject Matter Expert (SME) will determine whether an important question is given, normal or normal, or whether the question is not important given to students. At the evaluation stage, the Subject Matter Expert (SME) assessment of the draft test instrument will be compiled and the Content Validation Ratio (CVR) value and the Content Validation Index (CVI) value calculated to determine content validity. © 2022 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural Network for Cataract Clasification Using Primary Dataset 9

Convolutional Neural Network for Cataract Clasification Usin...

引用

9th International Conference on Business and Industrial Research, ICBIR 2024

作者： Totok Suryawan, I Gede Putra, I Wayan Murmayasa Adi Informatics Engineering Study Program Faculty of Technology and Informatics Denpasar Indonesia

ISBN: (纸本)9798350383010

Cataracts are the main factor causing blindness in Indonesia. Traditional diagnostic methods involving clinical examination by an ophthalmologist using a slit-lamp and visual tests have many challenges such as limited resources, time, and medical expertise may not be available in all locations, especially in less developed areas. Utilizing medical image technology is a wise choice because it allows early detection and monitoring of the development of this cataract disease Technology is needed to identify medical images that have valuable information so that early detection or monitoring of cataract development can be carried out. CNN as a part of deep learning has the ability to perform automatic feature extraction so that it can identify eye images. A CNN model for recognizing cataracts in eye images taken directly from Bhayangkara Hospital in Denpasar Bali has been developed in this research. The model developed is equipped with a dropout layer technique to prevent overfitting. The test results show that the CNN developed in this research produces very good performance with an average accuracy level of 92% on public dataset images, and 94% on primary dataset images. Tested using the primary dataset and public dataset, this CNN model shows very good performance because it can correctly identify an average of 94% of eye images in the primary dataset, and 92% of eye images in the public dataset.. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

A NEWBORN EMBODIED TURING TEST FOR COMPARING OBJECT SEGMENTATION ACROSS ANIMALS AND MACHINES 12

A NEWBORN EMBODIED TURING TEST FOR COMPARING OBJECT SEGMENTA...

引用

12th International Conference on Learning Representations, ICLR 2024

作者： Garimella, Manjulata Pak, Denizhan Wood, Justin N. Wood, Samantha M.W. Department of Informatics School of Informatics Computing & Engineering Department of Psychological & Brain Sciences Cognitive Science Program Program in Neuroscience

Newborn brains rapidly learn to solve challenging object perception tasks, including segmenting objects from backgrounds and recognizing objects across new viewing situations. Conversely, modern machine learning (ML) algorithms are "data hungry," requiring more training data than brains to reach similar performance levels. How do we close this learning gap between brains and machines? Here, we introduce a new benchmark-a Newborn Embodied Turing Test (NETT) for object segmentation-in which newborn animals and machines are raised in the same environments and tested with the same tasks, permitting direct comparison of their learning. First, newborn chicks were raised in controlled environments containing a single object rotating on a single background, then their recognition performance was tested across new backgrounds and viewpoints. Second, we performed "digital twin" experiments in which artificial agents were reared and tested in virtual environments that mimicked the rearing and testing conditions of the chicks. We inserted a variety of ML "brains" into the artificial agents and measured whether those algorithms learned common object recognition behavior as chicks. All newborn chicks solved this one-shot object segmentation task, successfully learning background-invariant object representations that generalized across new backgrounds and viewpoints. In contrast, none of the artificial agents solved the task, instead learning background-dependent representations that failed to generalize across new backgrounds and viewpoints. This digital twin design exposes core limitations in current ML algorithms in developing brain-like object perception. Our NETT is publicly available for comparing ML algorithms with newborn chicks. We argue that NETT benchmarks can help researchers build embodied AI systems that learn as efficiently and robustly as newborn brains. © 2024 12th International Conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Animals

来源：评论

学校读者我要写书评

暂无评论

Secure E-Voting System for Student Associations in Private University Using Paillier Algorithm 21

Secure E-Voting System for Student Associations in Private U...

引用

21st IEEE Student Conference on Research and Development, SCOReD 2023

作者： Tenusa, Ivan Surbakti, Eunike Endariahna Tobing, Fenina Adline Twince Kusnadi, Adhi Universitas Multimedia Nusantara Informatics Study Program Informatics and Engineering Faculty Indonesia

ISBN: (纸本)9798350318821

The representatives of student associations at Private University are entrusted with the responsibility of empowering, facilitating, and nurturing the growth of the students, lecturers, and alumni within their respective programs. If the elected representatives do not align with the general consensus, problems are bound to arise. Therefore, student participation during the annual voting period is of utmost importance. When voting participation is low, the risk of the majority voice not being heard increases. Data from the General Election Commission in the private university reveals that among the four student associations in the Tech and IT Faculty, three of them have a participation rate lower than 50%.This research aims to develop an E-Voting system for Student Associations within the university, with the intention of replacing the currently utilized Google Form system and enhancing student participation in future voting periods. While constructing an electronic voting system, the security and confidentiality of participants are vital. The Paillier homomorphic encryption algorithm is employed in the system to encrypt and decrypt voting messages sent by voters, ensuring their confidentiality. This algorithm was chosen due to its relative recency, speed, and relevance to this research in comparison to other algorithms. A user acceptance test conducted using the Technology Acceptance Model (TAM) has demonstrated that the application has been successfully developed, with user assessments of 87.50% for perceived ease of use, 72.27% for perceived usefulness, 74.74% for behavioral intention, and 86.46% for actual usage. © 2023 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Supervised Machine Learning Approach for Predicting Cardiovascular Complications Risk in Patients with Diabetes Mellitus

Supervised Machine Learning Approach for Predicting Cardiova...

引用

2023 International Conference on Electrical engineering and informatics, ICEEI 2023

作者： Muharram, Arief Purnama Sajid, Fahmi School of Electrical Engineering and Informatics Institut Teknologi Bandung Program of Informatics Bandung Indonesia

ISBN: (纸本)9798350381290

Diabetes mellitus, particularly type-2 diabetes, remains a prevalent health issue, raising concerns due to its associated risk of complications. Among these, cardiovascular complications pose a significant threat, exhibiting high morbidity and mortality rates. Health screening plays a pivotal role in stratifying the risk levels of diabetes patients, facilitating proactive measures to prevent the progression of complications. As such, the primary objective of this study is to develop a predictive model system for assessing cardiovascular risk in diabetes patients. Our study used the Cardiovascular Disease dataset and conducts experiments with various supervised machine learning algorithms, such as Naive Bayes, decision tree, random forest, AdaBoost, and XG- Boost. The results reveal that ensemble learning algorithms based on boosting, particularly AdaBoost and XGBoost, outperform other supervised machine learning methods. However, even with the best performance achieved using the dataset, the accuracy stands at 0.71, and the F -1 score is 0.69, which is still acceptable for screening purposes. Although these results provide valuable insights, indicating individuals at higher risk for cardiovascular complications in diabetes, further improvements are needed to enhance early prevention strategies. © 2023 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

VidyaMedic: Smart Alert System For Continous Vital Sign Monitoring

VidyaMedic: Smart Alert System For Continous Vital Sign Moni...

引用

2023 International Conference on Electrical engineering and informatics, ICEEI 2023

作者： Ikawati, Vidya Prihatmanto, Ary Setijadi School of Electrical Engineering and Informatics Bandung Institute of Technology Doctoral Program of Electrical Engineering and Informatics Bandung Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

ISBN: (纸本)9798350381290

The proposed smart system namely VidyaMedic utilizes continuous heart rate monitoring through sensors, with data transmission to the cloud via an IoT platform. Testing was conducted on a 40-year-old male participant who wore the Polar H10 heart rate monitor for 24 days. The heart rate profile captures the circadian rhythm, the natural internal biological clock governing cardiovascular and behavioral processes over a 24-hour cycle, influencing morning, daytime, and nighttime activities. Health conditions can be assessed using an algorithm which calculates the running sum of standard deviation for heart rate data over this period. Initially, standard deviation is computed for each data point, quantifying data dispersion from the mean. Subsequently, the running sum of standard deviation enables the detection of significant changes over time, abrupt fluctuations indicate outliers or extreme values, potentially impacting overall standard deviation and signaling significant data changes. Deviations from the expected or previous standard deviation values, marked by a regression coefficient less than or greater than 1, may suggest cardiac abnormalities or heart rhythm disturbances. © 2023 IEEE.

关键词： Heart

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：