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Smart Technology and Applications (ICoSTA), 2020 International Conference on

作者： Karlisa Priandana Ramadina Al-Fatihah Wahyu Computer Science Department IPB University (Bogor Agricultural University) Bogor Indonesia Computer Engineering Study Program Vocational School IPB University (Bogor Agricultural University) Bogor Indonesia

ISBN: (数字)9781728130835

ISBN: (纸本)9781728130842

In agriculture, water management is crucial to reduce the amount of water used for irrigation. This study aims to develop an automatic plant irrigation system to be implemented in the Greenhouse of the Department of computer science, IPB University. The system is made of solenoid valves and soil moisture sensors whose amount is adjusted to the number of plants. This automatic plant irrigation system was created to support the development of smart and precision farming in Indonesia. Irrigation is done automatically and precisely for each plant by using a solenoid valve and a relay. The system prototype has been tested with different soil moisture values. Experiment results show that the prototype has successfully read the soil moisture value and can do the irrigation properly according to the specified functional requirements.

关键词： agriculture chili smart farming precision farming automatic irrigation soil moisture precision agriculture Soil moisture soil water content automatic irrigation Chilli Pepper Irrigation systems agriculture solenoid valves AUTOMATIC water management in agriculture

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E-Learning Satisfaction: Analysis of the Support Factors

E-Learning Satisfaction: Analysis of the Support Factors

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International Conference on Information Technology, computer and Electrical Engineering (ICITACEE)

作者： Boby Siswanto Doni Purnama Alamsyah Doni Morika Norfaridatul Akmaliah Othman Billiam Christofer Wijaya Putri Giyan Adinda Computer Science Study Program School of Computer Science Bina Nusantara University Jakarta Indonesia Entrepreneurship Department BINUS Business School Bina Nusantara University Jakarta Indonesia Interior Design Study Program School of Design Bina Nusantara University Jakarta Indonesia Department of Management Technology Universiti Teknikal Malaysia Melaka Melaka Malaysia

E-learning satisfaction is an important factor in assessing the effectiveness and efficiency of distance learning. The use of Big Data technology can have a significant impact on e-learning satisfaction. The purpose of this research is to examine the implementation of big data in e-learning and the factors that can increase student e-learning satisfaction. This study uses a quantitative survey method with a questionnaire as a data collection tool. The research respondents were randomly selected e-learning students from several educational institutions that use Big Data technology in their e-learning platforms. There are 663 data collected through online questionnaires, then the data is processed through SmartPLS to test the research hypothesis. The results of the study show that the use of Big Data technology in an e-learning environment has a positive impact on student satisfaction. Several factors determine e-learning satisfaction including usability requirements, quality level, learning competence, and material relatedness. Relatedness to e-learning is more important in increasing student motivation in learning, as can be seen from the correlation value which is more dominant in forming student satisfaction. The e-learning platform must have navigation that is easy for users to understand and use. Learning content must be well-designed and follow established learning standards. The use of Big Data technology in e-learning can have a significant impact on student satisfaction and the quality of learning. Future research can develop a more personal and adaptive e-learning platform, using Big Data technology as the basis for its development.

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Finger-painting fitness landscapes: An interactive tool for exploring complex evolutionary dynamics

Finger-painting fitness landscapes: An interactive tool for ...

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13th International Conference on the Simulation and Synthesis of Living Systems: Artificial Life 13, ALIFE 2012

作者： Zaman, Luis Ofria, Charles Lenski, Richard E. Department of Computer Science and Engineering Michigan State University East Lansing MI United States BEACON Center for the Study of Evolution in Action Michigan State University East Lansing MI United States Ecology Evolutionary Biology and Behavior Program Michigan State University East Lansing MI United States

ISBN: (纸本)9780262310505

Evolution involves only a few simple processes, yet the resulting dynamics are surprisingly rich and complex. Sewall Wright developed the metaphor of fitness landscapes to provide deeper insight into the complex workings of evolution. Here we extend that metaphor by visualizing in real time the dynamic processes that drive evolution. We allow viewers to construct fitness landscapes interactively while also varying key parameters including population size, mutation effect size, mode of reproduction (asexual or sexual), and density-dependent selection. This application is both mechanistic and visual, and it thereby allows the active exploration of evolutionary processes. We walk the reader through several exercises including both simple activities potentially suitable for education and examples of deeply conceptual topics that remain the focus of current research in evolutionary biology. © 2012 Massachusetts Institute of Technology.

关键词： Biology

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Identification of Beef Freshness Using Linear Discriminant Analysis (LDA) Algorithm and Extraction of HSV Values

Identification of Beef Freshness Using Linear Discriminant A...

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Electronic and Electrical Engineering and Intelligent System (ICE3IS), International Conference on

作者： Riduwan Napianto Agung Tri Prastowo Agung Deni Wahyudi Wajiran Yohanes Egi Pratama Yudoutomo Arico Ayani Suparto Faculty of Engineering and Computer Science Universitas Teknokrat Indonesia Bandarlampung Indonesia Information Technology Education Study Program STKIP PGRI Situbondo Situbondo Indonesia

ISBN: (纸本)9781665465427

To determine the quality of beef, it is usually seen using a flashlight and matching it with a predetermined color standard. However, this method is time consuming and the results are inconsistent due to human visual limitations. This study aims to identify the freshness of beef based on its color characteristics using feature extraction method with HSV and LDA method for identification. The identification process begins with the transformation process from RGB images to L*a*b, then image segmentation serves to separate one object from another and image identification uses the LDA method with feature extraction using HSV. The use of color feature extraction with the HSV algorithm to assist in obtaining information from the colors contained in the image for easy identification. Furthermore, the LDA algorithm has a function to obtain the maximum projection to obtain a smaller dimensional space so that the desired patterns can be separated through the boundary line of a linear equation so as to form a certain class or group. Based on the test results using the confusion matrix, it produces a precision value of 80%, recall of 84%, and accuracy of 82%.

关键词： Visualization Image segmentation Image color analysis Shape Feature extraction Mathematical models Linear discriminant analysis

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EEG-Based Emotion Classification Using Wavelet Decomposition and K-Nearest Neighbor

EEG-Based Emotion Classification Using Wavelet Decomposition...

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International Conference on science and Technology-computer (ICST)

作者： Agfianto Eko Putra Catur Atmaji Fajrul Ghaleb Dept. of Computer Science and Electronics Universitas Gadjah Mada Yogyakarta Indonesia Electronics and Instrumentations Study Program Universitates Gadjah Mada Yogyakarta Indonesia

The following topics are dealt with: regression analysis; feature extraction; Global Positioning System; computational fluid dynamics; statistical analysis; remote sensing; support vector machines; organisational aspe... 详细信息

关键词： Electroencephalography Feature extraction Hidden Markov models Error analysis Training Emotion recognition Correlation

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Comparison of the Effectiveness of C.45 Algorithm with Naive Bayes Algorithm in Determining Scholarship Recipients

Comparison of the Effectiveness of C.45 Algorithm with Naive...

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computer science and Engineering (IC2SE), International Conference on

作者： Sepsa Nur Rahman Suparmi Annisak Izzaty Jamhur Yesri Elva Surmayanti Eva Rianti Computer Science Faculty Universitas Putra Indonesia YPTK Padang Indonesia English Education Study Program Universitas Putra Indonesia YPTK Padang Indonesia

ISBN: (纸本)9781665400473

This research is formulated with a research question, namely the comparison of the C.45 Algorithm with the Naïve Bayes Algorithm, which aims to select scholarship recipients at Universitas Putra Indonesia YPTK Padang so that a comparison between the two algorithms for scholarship recipients with a high level of accuracy is obtained. The methodology used in determining scholarship recipients at Universitas Putra Indonesia YPTK Padang is to compare the stages of the C.45 Algorithm and the Naïve Bayes Algorithm. From some sample data of prospective recipients from the Information Systems department and has been generated based on the calculation of the C.45 Algorithm and the Naïve Bayes algorithm as many as 5 (five) students who are not eligible to become scholarship recipients because they have a GPA <3.00 per class in the Information Systems department, so that as many as 7 (seven) students who are eligible to become scholarship recipients because they have met the criteria for scholarship recipients in terms of GPA, and there is no C grade.

关键词： computer science Scholarships Prediction algorithms Naive Bayes methods Testing Information systems

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Mapping the Literature of Artificial Intelligence in Medical Education: A Scientometric Analysis 7th

Mapping the Literature of Artificial Intelligence in Medical...

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7th International Conference on Inventive Communication and Computaional Technologies, ICICCT 2023

作者： Maulana, Fairuz Iqbal Zaın, Muhammad Yasır Lestari, Dian Purnomo, Agung Adi, Puput Dani Prasetyo Computer Science Department Bina Nusantara University Jakarta11480 Indonesia Informatics Engineering Study Program University of Madura Pamekasan Indonesia Faculty of Medicine Universitas Airlangga Surabaya60132 Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Jakarta11480 Indonesia Telecommunication Research Center National Research and Innovation Agency Jakarta11480 Indonesia

ISBN: (纸本)9789819951659

This study aims to investigate the use of artificial intelligence in health education in the last ten years from 2012 to 2022 using the Scopus database. Researchers use bibliometric analysis combined with the quantification method of Vosviewer and Rstudio software used for literature analysis. The results of the article that were flushed showed data such as the year of publication, journal, country, keywords, and authors, to the highest number of citations. The general keywords used by researchers are artificial intelligence, medical, and education. Researchers limit findings through keywords as in the last ten years and English only so that 1681 articles were obtained. According to the study's findings, McGill University affiliation had the greatest number of papers, with 69 pieces, and medicine had a proportion of 39.7% (n = 1067). This bibliometric study will be useful for other researchers to examine the development of research on artificial intelligence in health education in the last ten years. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Medical education

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Exploring The Significance of E-Learning Quality, Usefulness, and Effectiveness on Student Intention

Exploring The Significance of E-Learning Quality, Usefulness...

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IoT, Communication and Automation Technology (ICICAT), International Conference on

作者： Satrio Matin Utomo Doni Purnama Alamsyah Heni Rohaeni Boby Siswanto Management Program BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia Management Program Faculty of Economy and Management Universitas Bhayangkara Jakarta Raya Jakarta Indonesia Computer Science Study Program School of Computer Science Bina Nusantara University Jakarta Indonesia

This study's purpose is to look at techniques and models that can increase students at universities' willingness to continue with e-learning while considering the most recent technological advances and data analysis. The study assesses the variables that can facilitate the continuance intention, focusing on the measurable aspects related to the quality, usefulness, and effectiveness of online learning. A quantitative survey was conducted to acquire relevant data, and questionnaires were completed by an intake of 491 individuals studying in several colleges in Bandung (Indonesia). The evaluation of the data demonstrates that online learning quality, usefulness, and effectiveness have a beneficial association with the intention to use online learning. This can reveal that participants who believe online learning is of good quality, useful, and effective are more likely to indicate a desire to use it in the decades to come. The study also highlights the significance of the three factors of user behavior in interactions with online learning in influencing the strength of learner intention. Using the most recent technological breakthroughs and data analysis, the research model produced in this study reveals the antecedent elements that enable the development of user intention to maintain online studies. The study's findings provide valuable insights for universities to develop effective strategies and indicators that can enhance the sustainable utilization of online learning in the future. It is essential to modify technology for e-learning to better support the dissemination of knowledge at universities, and this study can help guide universities in this endeavor.

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Improvement of PID Based on Fuzzy Logic Controller for Controlling Attitude of a Quadcopter

Improvement of PID Based on Fuzzy Logic Controller for Contr...

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Aerospace Electrical Engineering and Informatics (ICAAEEI), International Conference of Adisutjipto on

作者： Ernando Rizki Dalimunthe Horas Nico L. P. Sibuea Dirga Rama Setiadi Akhmad Jayadi Jaka Persada Sembiring Elka Pranita Faculty of Engineering and Computer Science Universitas Teknokrat Indonesia Bandar Lampung Indonesia Informatic Management Study Program Politenik Negeri Lampung Bandar Lampung Indonesia

ISBN: (数字)9798331507930

ISBN: (纸本)9798331507947

The quadcopter has a fairly simple mechanical design because it does not require other drives to perform various movements such as roll, pitch, and yaw. The simplicity of this mechanical design has a considerable impact on the complexity of its control. Therefore, it is necessary to have a good control method to maintain the stability of the quadcopter. The research aims to maintain stability of quadcopter by using a combination of the Fuzzy Logic Controller (FLC) with the Proportional-Integral-Derivative (PID) method, where FLC is used to initialize the input of the PID method to find the quadcopter stability point. The application of fuzzy methods for the initial tuning of PID parameters has proven effective in enhancing the system's fundamental performance, such as overshoot, rise time, and settling time, compared to the conventional PID approach. The proposed method can reduce overshoot by over 20%, with reductions reaching up to 88% in yaw motion. Additionally, the Fuzzy-PID approach significantly improves stability, shortening the time to achieve steady-state by less than 1 seconds for all movements while PID did more than 2s for pitch and roll motions and over 1s for yaw motion.

关键词： Fuzzy logic Power demand PI control Attitude control Stability analysis Regulation Steady-state PD control Tuning Quadrotors

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Fitness Landscape Optimization Makes Stochastic Symbolic Search By Genetic programming Easier

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IEEE Transactions on Evolutionary Computation 2024年

作者： Huang, Zhixing Mei, Yi Zhang, Fangfang Zhang, Mengjie Banzhaf, Wolfgang Victoria University of Wellington Centre for Data Science and Artificial Intelligence School of Engineering and Computer Science Wellington6140 New Zealand Michigan State University BEACON Center for the Study of Evolution in Action and Ecology Evolution and Behavior Program Department of Computer Science and Engineering East LansingMI48864 United States

Searching for symbolic models plays an important role in a wide range of domains such as neural architecture search and automatic program synthesis. Genetic programming is a promising stochastic method for searching effective symbolic models within an acceptable time. The genetic programming performance is closely related to the hardness of the fitness landscape. A better fitness landscape with less local optima normally implies that it is easier to search for better solutions. In recent years, there have been many studies enhancing genetic programming performance by forming better fitness landscapes. However, the better design of the fitness landscape highly relies on specific domain knowledge and consumes a lot of expert effort. This paper proposes a fitness landscape optimization method to automatically design better fitness landscapes for genetic programming search than the manually designed ones. We optimize the landscapes by optimizing the neighborhood structures of symbolic solutions. We verify the effectiveness of the proposed method in both supervised learning and combinatorial optimization problems. The results show that the proposed method significantly reduces the hardness of fitness landscapes. By simply searching against the automatically optimized fitness landscapes, a genetic programming method can have a very competitive performance with state-of-the-art methods. © 1997-2012 IEEE.

关键词： Genetic programming

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