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检索条件"任意字段=5th IEEE International Conference on Computer and Informatics Engineering, IC2IE 2022"

共 72 条记录，以下是21-30 订阅

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Application of Software engineering in Student Time Management using Prototype Model 5

Application of Software Engineering in Student Time Manageme...

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5th ieee international conference on computer and informatics engineering, ic2ie 2022

作者： Sianturi, Exaudina Glory Suryadi, Sharon Cedila Wilman, Pascal Anggreainy, Maria Susan Karim, Syaeful Harvianto Bina Nusantara University School of Computer Science Computer Science Department Jakarta Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

Time management is one of the most important things in humankinds' life, especially in student activity. In the new pandemic era, students have already changed and adjust their learning method to an online learning system which does not need them to have activities outside their house. this condition might make them have a lot of time but they lack the ability to manage their own study schedule. To handle this situation, we construct and develop a scheduler application. this application uses Prototyping Model as the development method as it is a user-oriented application. We are using a prototyping model to consider the upcoming details required in the development. It involves communication between user and developer continuously to achieve the goals and things needed by the user. the implementation of software engineering in student time management with a prototype model will upgrade students' skill to the next level of the digital era. © 2022 ieee.

关键词： Students

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Development of Face Mask Detection using SSDLite MobilenetV3 Small on Raspberry Pi 4 5

Development of Face Mask Detection using SSDLite MobilenetV3...

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5th ieee international conference on computer and informatics engineering, ic2ie 2022

作者： Anggraini, Nenny Ramadhani, Syarif Hilmi Wardhani, Luh Kesuma Hakiem, Nashrul Shofi, Imam Marzuki Rosyadi, M. Tabah Department of Informatics Faculty of Science and Technology Uin Syarif Hidayatullah Jakarta Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

this study aimed to develop a mask detection tool with SSDLite MobilenetV3 Small based on Raspberry Pi 4. SSDLite MobilenetV3 Small is a single-stage object detection. the single-stage object detection method is faster than the two-stage detection method. However, it has the disadvantage as the level of accuracy is not as good as the two-stage detection method. In the experiments, we used some methods to compare with SSDLite MobilenetV3, such as: SSDLite MobilenetV3 Large, SSDLite MobilenetV2, SSD MobilenetV2, SSDLite Mobileedets, and SSDMNV2 models. the result is that SSDLite MobilenetV3 is more powerful than other systems for detecting face masks. While the model with the best detection is the SSDLite MobilenetV2 model, the system with the SSDLite MobilenetV3 Small model still detects the use of masks, with a score of 70% accuracy from model accuracy testing in deployment. the limitation is the system with SSDLite MobilenetV3 Small can't detect incorrect masks. © 2022 ieee.

关键词： COVID-19

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Latent Semantic Indexing (LSI) and Hierarchical Dirichlet Process (HDP) Models on News Data 5

Latent Semantic Indexing (LSI) and Hierarchical Dirichlet Pr...

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5th ieee international conference on computer and informatics engineering, ic2ie 2022

作者： Lubis, Arif Ridho Prayudani, Santi Fatmi, Yulia Nugroho, Okvi Politeknik Negeri Medan Department of Computer Engineering and Informatics Medan Indonesia Sma Muhammadiyah 2 Medan Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

News has become a very important need in modern society. Almost every level of society needs information such as news. Online news gets the attention of writers because there are a lot of characteristics of the data available and can be used for analysis so as to get insights and current trends, such as on 4 news portals that are most frequently accessed by the public such as ***, ***, ***, and ***. Related research in this field about Trend Analysis and Topic modeling on news media data in Indonesia then discusses news data collection methods and data collection techniques news pre-processing text, and 2 Topic Modeling algorithms applied in this research, namely Latent Semantic Indexing (LSI) and Hierarchical Dirichlet Process (HDP). In this study, the author has succeeded in extracting topics from news data from media in Indonesia. Various topics show the effectiveness of a learning model producing topics from the LSI and HDP models. this research has implemented natural language preprocessing (NLP) to process news data so that it can be processed and used as data from modeling a topic. this study finds topics based on the model of coherence and LSI and HDP contained in the news data with a total of 29,437. the accuracy obtained is 87% compared to the model from LDA-KNN which can determine the topic with an accuracy of 72%. Hence, the Latent Semantic Indexing (LSI) model and Hierarchical Dirichlet Process (HDP) have better accuracy than the LDA-KNN model. © 2022 ieee.

关键词： Semantics

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Non-Invasive IoT Home Medical Check-up Programming to Monitor Blood Sugar, Cholesterol, Uric Acid, and Body Temperature 5

Non-Invasive IoT Home Medical Check-up Programming to Monito...

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5th ieee international conference on computer and informatics engineering, ic2ie 2022

作者： Darmawan, Helmy Yusuf Sanubari, Agung Saida, Nur Fauzi, Rahmat Noor Ristiani, Nadia Oktivasari, Prihatin Wardhani, Rika Novita Riandini Politeknik Negeri Jakarta Departement of Electrical Engineering Departement of Informatics and Computer Engineering Depok Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

Non-invasive loT home medical check-up tool is a tool to check the temperature, uric acid, cholesterol, and blood sugar levels. the tool was designed using ESP32 WEMOS LOLIN 32 Lite as the micro controller, MLX90614 as the sensor to measure the temperature, and MAX30105 as the sensor to measure the uric acid, blood sugar, and cholesterol levels. To ensure the two sensors operated as expected, value readings were tested by programming the body temperature, uric acid, blood sugar, and cholesterol sensors and sending the results of sensor reading data to a database. the ccombination of sensor programming was tested when MAX30105 sensor detected IR, RED, and GREEN values, and it was compared to the BPM, Average BPM, and SP02 values and then conjoined with the MLX90614 sensor to detect temperature values. Data transmission testing was conducted by comparing the delivery time data on the ESP32 serial monitor with a database using the internet network, and the longest time difference in delivery was 0.091 seconds. © 2022 ieee.

关键词： Cholesterol

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the Aquarium Monitoring System Design and Prototype for Ornamental Fish Farmers using NodeMCU with Telegram Data Notifications 5

The Aquarium Monitoring System Design and Prototype for Orna...

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5th ieee international conference on computer and informatics engineering, ic2ie 2022

作者： Agustin, Maria Zain, Ayu Rosyida Soelaiman, Nur Fauzi Oktivasari, Prihatin Bohan, Joifer Rilke Karim, Muhammad Arsyil Anshor, Muhammad Fabian Fahroji, Muhammad Fatih Politeknik Negeri Jakarta Department of Computer and Informatics Engineering Depok Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

In ornamental fish cultivation, water conditions are one of parameters to control the water quality. Water quality is closely related to fish habitat in ponds or aquariums. Water is a medium that must be considered because it supports the process of developing a successful fish culture. Because of the importance of monitoring water conditions for fish, some tools are needed to observe it in real-time. therefore, pH level, oxygen, temperature and water transparency provide real-time notification of required time conditions. With the esp8266 microchip and built-in TCP/IP network software on NodeMCU has the ability to transmit data via Wi-fi, this data will be sent via the Telegram bot and the information of the state of the water, whether the pH is too low, the water is cloudy, and the water temperature. With some experimental test has some results about the accuracy level obtained on the pH sensor reaches the accuracy obtained is 99.19%. on the TDS sensor up to 96.7%, the accuracy on the DS18B20 sensor is up to 96.9% and the last sensor is turbidity which has an accuracy of 49.73% so that this model can classify the water condition whether it is suitable for use for ornamental fish growth. © 2022 ieee.

关键词： Water quality

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A Systematic Study for Organizing Research Topics in Ontology Data Mining Domain 5

A Systematic Study for Organizing Research Topics in Ontolog...

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5th ieee international conference on computer and informatics engineering, ic2ie 2022

作者： Defiyanti, Sofi Ashari, Ahmad Lelono, Danang Universitas Singaperbangsa Karawang Faculty of Computer Science Karawang Indonesia Universitas Gadjah Mada Dept. of Computer Science and Electronics Yogyakarta Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

Ontology has played a significant role in various domains for the organization of computer-managed knowledge in recent years. Ontology is used to organize and classify objects in certain domains so that ontology can maximize new knowledge at a more detailed level. One of the domains that apply ontology is the data mining domain. Combining these two knowledge fields is targeted to represent the formal knowledge generated in the data mining process. One of them is that the ontology can help choose the right algorithm or technology so that the ontology can improve the data mining process results. To research in this field, it is necessary to compile, map and analyze the literature on the current state of the data mining ontology by looking at the contributions made from research journals and conferences originating from several relevant electronic databases. Systematic mapping study is a method to achieve this goal by integrating automatic and manual searches from various sources by developing a classification scheme. In this article, the Systematic mapping study starts with 12,819 articles from 1998 to 2019, and then the inclusion and exclusion criteria are carried out into 74 articles selected for review. the review has examined how papers are distributed annually. the material has been generated with the greatest contribution, an overview of the present state of the research, and the identification of gaps and prospective future avenues. the review provides an integrated and consolidated body of knowledge in the data mining ontology domain that can be used as a starting point for research to explore possible ideas from the topic of data mining ontology research. © 2022 ieee.

关键词： Data mining

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Texture Features and Statistical Features for Wood Types Classification System 5

Texture Features and Statistical Features for Wood Types Cla...

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5th ieee international conference on computer and informatics engineering, ic2ie 2022

作者： Fahrurozi, Achmad Kosasih, Rifki Universitas Gunadarma Dept. of Informatics Depok Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

Wood types research usually regards species of wood images. this research focuses on the classification of wood types in Indonesia, coming from four wood species, with one species divided into two types based on their grade and morphological characteristics. the dataset in this research was also created with variations in scale and position, i.e., horizontal and vertical. the feature extraction method is regarded by its types, known as texture features and statistical features. Texture features were extracted using Gray Level Co-occurrence Matrix (GLCM), and statistical features were obtained using the Histogram method. this research aims to analyze the relationship between classifiers and feature types as their input to classification performance for our unique dataset. Support Vector Machine (SVM) and Random Forest are two classifiers used in this research. Generally, four scenarios of the classification system are considered. the output of this study is an image dataset consisting of 5 types of wood in Indonesia and a wood species classification model. the best model was given by statistical features that were used as input of SVM, with an accuracy of 89%, Weighted Average Precision at 94%, and Weighted Average Recall at 89%. this result leads to an exciting point that statistical features give better classification results than texture features in the case of wood types classification, which contains intra-species. It also found that two statistical features, deviation and smoothness, can be assumed as features that have theoretical implications that make intra-species classification more difficult. © 2022 ieee.

关键词： Support vector machines

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Developing an Application to Recommend Major Based on Personality Test using Waterfall Method 5

Developing an Application to Recommend Major Based on Person...

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5th ieee international conference on computer and informatics engineering, ic2ie 2022

作者： Ethan Daphne, Calista Stanley, Michael Augustine, Vannessa Anggreainy, Maria Susan Setiawan, Arden Sagiterry School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

Education is one of the most fundamental aspects for humans. From human birth to growing up, we never stop learning. Especially now that we are in an era where technology develops rapidly. One of the most confusing decisions for someone to make is choosing a major when they enter college. that's why we created this app to help them determine what major suits them best based on their personality. We chose the personality factor since a person's personality has been shown to have a significant impact on their decision to pursue the appropriate major. we use Holland Code (RIASEC) to test the personality of students. this app was constructed using the waterfall method, which works best for us, helping us to get through the process of developing each part more efficiently and organized. We hope that by creating this application, more people will be able to select the correct major according to their abilities and obtain a more suited employment. © 2022 ieee.

关键词： Students

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Cattle Breeding Management using Smart System: A Systematic Literature Review 5

Cattle Breeding Management using Smart System: A Systematic ...

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5th ieee international conference on computer and informatics engineering, ic2ie 2022

作者： Arnaldy, Defiana Sukoco, Heru Neyman, Shelvie Nidya Muladno Seminar, Kudang Boro Ipb University Department of Computer Science Bogor Indonesia Ipb University Department of Animal Technology and Production Science Bogor Indonesia Ipb University Mechanical and Bio-system Engineering Department Bogor Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

this paper uses a smart system to present a methodical literature review on cattle breeding management. Indonesia is a large country with a veritably large population. Indonesian people like to eat beef;thus the demand for beef in Indonesia always increases. therefore, Indonesia needs a system to manage livestock data nationally. Sekolah Peternakan Rakyat (SPR) is one of the Bogor Agricultural Institute's programs to strengthen the people's livestock business. In addressing this issue, experimenters proposed using an intelligence system for cattle breeding management in SPR. the method used in this research is a systematic literature review (SLR). the approach used is PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Hence, this paper analyses the literature to fill the gap by conducting a scoping study to answer three pre-defined research questions. First, search for papers using publish or perish tools with a database of papers used for the last five years (2017 - 2022). Grounded on the search results, the total composition data for all data from the composition database used was 5513 papers, with an aggregate of 3010 papers in the form of journals. In comparison, the number of proceedings amounted to 239 papers. It is known that the content of cattle breeding management using information technology has been extensively carried out. Inquiries are generally carried out outside Indonesia. Although several papers discuss cattle breeding in Indonesia, the discussion is more towards livestock, not information technology. © 2022 ieee.

关键词： Information management

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Online Craftsman Ordering Application Development using Waterfall Methodology 5

Online Craftsman Ordering Application Development using Wate...

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5th ieee international conference on computer and informatics engineering, ic2ie 2022

作者： Santonanda, Alfredo Lorentiar Nathaniel, Ricky Putra, Winata Liadylova Anggreainy, Maria Susan Danaparamita, Muhammad Elok Amalia, Andika School of Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

Having a plan to build or renovate a house, besides the budget, choosing a skilled craftsman is one of the determining factors. Craftsman skills are needed by customers, such as building, electronics, water, yard, mechanics, and home maintenance. By choosing the right craftsman, at least you can realize the dwelling you want. Choosing the services of a craftsman is not easy. To get a good result, it is necessary to choose the services of a skilled craftsman. the purpose of this research is to develop an application for ordering craftsmen where customers can choose skilled craftsmen by looking at the rating and performance of the craftsmen. this research also aims to help craftsmen to get customers anywhere. Because many skilled craftsmen were only known around him. the software development method used is the Waterfall method, which consists of several stages. the stages of the Waterfall method include identifying problems and needs, determining solution objectives, developing, designing applications, and verifying. Based on the results of tests conducted using the black box method, the black box method test shows that this system has no errors and can be used according to its function. © 2022 ieee.

关键词： Sales

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