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Design of big data technology prototype for classification of village status based on village development index involves k-means algorithm to support village ministry Pdtt work programs

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Journal of Physics: Conference Series 2021年第1期1811卷

作者： Paska Marto Hasugian Harvei Desmon Hutahaean Bosker Sinaga Sriadhi Saronom Silaban Informatics Engineering Study Program STMIK Pelita Nusantara Medan Indonesia Computer Science and Informatics Education Study Program Faculty of Engineering Universitas Negeri Medan Medan 20221 Indonesia Departement of chemistry Universitas Negeri Medan Medan 20221 Indonesia

Big data technology is the overall technology that can handle the processing associated with analyzing the data to explore the potential that is in it. Some of the uses of big data are based on the biggest data traffic sources, such as social media, financial transactions, public data, censorship data, and company data. The problem found in the accumulation of village status data that has not been utilized in the decision-making process to determine the status of the next village and the absence of an application to process the data stored in the data database so that a tool is developed to analyze the buildup. The results of this study are to produce a prototype design that is Unified Modeling Language (UML) design, Form Design, and Database Design that will be used to develop Big Data Technology in determining the classification of village status based on the Village Build index.

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A comprehensive approach utilizing quantum machine learning in the study of corrosion inhibition on quinoxaline compounds

Artificial Intelligence Chemistry

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Artificial Intelligence Chemistry 2024年第2期2卷

作者： Muhamad Akrom Supriadi Rustad Hermawan Kresno Dipojono Ryo Maezono Study Program in Informatics Engineering Faculty of Computer Science Universitas Dian Nuswantoro Semarang 50131 Indonesia Research Center for Materials Informatics Faculty of Computer Science Universitas Dian Nuswantoro Semarang 50131 Indonesia Quantum and Nano Technologies Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung 40132 Indonesia School of Information Science Japan Advanced Institute of Science and Technology Ishikawa 923-1292 Japan

In this investigation, a quantitative structure-property relationship (QSPR) model coupled with a quantum neural network (QNN) was used to explore the corrosion inhibition efficiency (CIE) of quinoxaline compounds. Integrating quantum chemical properties (QCP) features reduced computational burden by strategically reducing the features from 11 to 4 while maintaining prediction accuracy. QNN models outperform traditional methods like artificial neural networks (ANN) and multilayer perceptron neural networks (MLPNN), with a coefficient of determination (R 2 ) value of 0.987, coupled with diminished root mean square error (RMSE), mean absolute error (MAE), and mean absolute deviation (MAD) values of 0.97, 0.92, and 1.10, respectively. Predictions for six newly synthesized quinoxaline derivatives: quinoxaline-6-carboxylic acid (Q1) , methyl quinoxaline-6-carboxylate (Q2) , (2 E ,3 E )-2,3-dihydrazono-1,2,3,4-tetrahydroquinoxaline (Q3) , (2 E ,3 E ) 2,3-dihydrazono-6-methyl-1,2,3,4-tetrahydroquinoxaline (Q4) , ( E )-3-(4-methoxyethyl)-7-methylquinoxalin-2(1 H)-one (Q5) , and 2-(4-methoxyphenyl)-7-methylthieno[3,2- b ] quinoxaline (Q6) , show remarkable CIE values of 95.12, 96.72, 91.02, 92.43, 89.58, and 93.63 %, respectively. This breakthrough technique simplifies testing and production procedures for new anti-corrosion materials.

关键词： Quantum neural network QSPR Corrosion inhibition Quinoxaline

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Increasing accuracy of classification physical activity based on smartphone using ensemble logistic regression with boosting method 3

Increasing accuracy of classification physical activity base...

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3rd International Conference on Science, ICOS 2019

作者： Lawi, A. Aziz, F. Wungo, S.L. Department of Computer Science Universitas Hasanuddin Makassar90245 Indonesia Faculty of Mathematics and Natural Sciences Universitas Pancasakti Makassar90132 Indonesia Program Study Informatics Engineering STMIK Kreatindo Monokwari98300 Indonesia

At present, the smartphone is equipped with several sensors such as Accelerometer, Gravity sensor, and Gyroscope which can be used to recognize human physical activities such as walking upstair and walking downstairs etc. Machine learning is needed to group data and get information. Statistical methods have poor performance in classifying because procedures must be met. To overcome this, an ensemble technique was used. This study proposes the application of the gradientboost ensemble method to classify walking upstair and walking downstairs. The *** system is designed for data retrieval using a smartphone. Then, the dataset will be partitioned into 70% training data and 30% test data. The results show that the performance of the ensemble boosting method produces 81.82% accuracy, 86.11% sensitivity and 77.50% specificity. © Published under licence by IOP Publishing Ltd.

关键词： Smartphones

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Decision support system of fruit cultivation using technique for other reference method by similarity to ideal solution (TOPSIS) 2

Decision support system of fruit cultivation using technique...

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2nd International Conference on Technology, Innovation, Society and Science-to-Business, ICTIS 2018

作者： Yulianti, Eva Nanda, Rahmat Rizki Institut Teknologi Padang Informatics Engineering Study Program Padang Indonesia

Fruit cultivation is very promising for farmers. But there are problems faced by farmers, namely the lack of understanding of farmers with natural conditions that can affect crop yields. So with the selection of plants that are not appropriate, it does not get satisfactory results. Various types of fruit crops can be cultivated by farmers, such as oranges, guava, rambutan, watermelon, avocado, and so on. But it should be noted, that in the cultivation is expected to be cultivated plants in accordance with natural circumstances. This Designing created application to help determine the cultivation of fruit crops. In determining the cultivation of fruit crops in accordance with the criteria using the Technique Method for Others Reference by Similarity to Ideal Solution (TOPSIS) as a tool to facilitate decision-making process with several criteria of comparison, namely: temperature, sunlight, rainfall and humidity, height, harvest, selling power, susceptibility to disease, and care levels. This application is made based on the web by using PHP as a programming language and MySQL as the data storage. The use of decision support system application of the cultivation of these fruit crops can provide an output or alternative in accordance with the natural state of the area. And helps in making decisions to determine which fruits are suitable for cultivating for users based on selected criteria. © The Authors, published by EDP Sciences, 2018.

关键词： Fruits

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Review of smart grids advancements of energy mix sources

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AIP Conference Proceedings 2023年第1期2746卷

作者： A. N. Woro W. M. W. Muda A. Z. Annuar B. Syaiful Electrical Engineering Study Program Faculty of Engineering Pamulang University Pamulang Tangerang Selatan Banten Indonesia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 2103 Kuala Nerus Terengganu Malaysia Electrical Engineering Department Faculty of Engineering Pamulang University Pamulang Tangerang Selatan Banten Indonesia. Centre for Nuclear Reactor Technology and Safety National Nuclear Energy Agency of Indonesia Tangerang Selatan Banten Indonesia

The successful implementation of smart grids depends on energy efficiency, mostly relying on the operation of electricity source infrastructure. The combination of energy sources undoubtedly provides complexity in real applications. Some of the challenges for a smart grids comes from the intermittent renewable energy characteristics such as bioenergy, geothermal, hydropower, solar, ocean power, and wind energy to the base load energy such as natural gas, coal, and nuclear. This paper aims to review the implementation of current advances of smart grids from combined energy mix sources. The review includes major components of smart grids, i.e. power plants, monitoring systems, substations, power transmission and distribution, controllers and smart meters. The review also investigates the state of the art contribution of power electronics, artificial intelligence and Internet of Things to more significant optimization, safety and efficiency in these areas. The results are expected to provide a further gap analysis of applicable technologies and best practices in mixed electricity generation sources. The final result will also consider its application in an archipelago country such as Indonesia.

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The implementation of k-means clustering method in classifying undergraduate thesis titles 12

The implementation of k-means clustering method in classifyi...

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12th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2018

作者： Zahrotun, Lisna Putri, Nila Hutami Nur Khusna, Arfiani Informatics Engineering Study Program Ahmad Dahlan University Yogyakarta Indonesia

ISBN: (纸本)9781538669402

One of graduation requirements at university is completing undergraduate thesis. At Industrial engineering Universitas Ahmad Dahlan, undergraduate thesis titles are documented by thesis coordinator. The problem is that students are less knowledgeable on thesis topics, so they do not really know the previous students' thesis topics. Based on the problem, this research aims at developing a program to classify thesis title so the knowledge on the trend of thesis title topic can be got The method used in this research was K-Means clustering, while range measurement method used was cosine similarity. The testing used Silhouette Coefficient method. The phases from text mining were tokenizing, filtering, stemming, similarity, classifying, testing. The result of this research is a program that can process the title data into trend group pattern of thesis title *** 138 data obtained, there are three clusters arranged based on the field on Industrial engineering study program. Silhouette Coefficient testing shows score of 0.5674 that shows the clustering result is classified low. It occurs since the textual data of the thesis title is too widely distributed, so the title has relatively low similarity score © 2018 IEEE.

关键词： K-means clustering

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QoS analysis on OSPFv3 and RIPng Using GRE Tunneling on IPv6 Integrated Ipv4 Network 2

QoS analysis on OSPFv3 and RIPng Using GRE Tunneling on IPv6...

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2nd International Conference on Technology, Innovation, Society and Science-to-Business, ICTIS 2018

作者： Warman, Indra Franozal, Alex Institut Teknologi Padang Informatics Engineering Study Program Padang Indonesia

Every year, the availability of public IPv4 addresses is running low. However, the IETF (Internet engineering Task Force) has set a new addressing standard called IPv6 (Internet Protocol version 6). IPv6 implementations can not be immediately performed on all end-to-end lines, a transition phase is required, one of which is the GRE tunneling method. IPv6 has some differences with IPv4, then in line with the presence of IPv6 will required the protocol that compatible with IPv6, among which is the routing protocol. Some dynamic routing protocols are created to support and can run on IPv6 such as RIPng and OSPFv3. Aim of this study is examines OSPFv3 routing protocols and RIPng routing protocols in terms of Quality of Service (QoS). The test is done by using seven routers with three scenarios in each routing protocol, ie scenario with best path active condition, when the network changes in other words best path down, and the scenario with best path condition has changed and the network has returned to normal. Testing is done by testing QoS parameters (delay, packet loss, and throughput) when the client computer downloads files with *** extension from the server. Downloaded files have different sizes, from 100 Mega Byte to 1 Giga Byte. From the results obtained that OSPFv3 provides better QoS (delay, packet loss, and throughput) than RIPng on integrated IPv6 network using GRE tunnel and can be a reference when going to transition from IPv4 to IPv6 using GRE Tunnel. © The Authors, published by EDP Sciences, 2018.

关键词： Routing protocols

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Comparison Analysis of Simple Additive Weighting (SAW) and Weigthed Product (WP) in Decision Support Systems 2

Comparison Analysis of Simple Additive Weighting (SAW) and W...

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2nd International Conference on Technology, Innovation, Society and Science-to-Business, ICTIS 2018

作者： Wira Trise Putra, Dede Agustian Punggara, Adrian Institut Teknologi Padang Informatics Engineering Study Program Padang Indonesia

Decision support system is a way to help decision maker to choose the best decision from several available alternatives. In the process of decision support system required criteria and weights to be used in the calculation process. Simple additive weighting (SAW) and Weigthed product (WP) are methods in decision support systems that have a search method taking into account the weights held by the criteria. comparison analysis is performed to look at between the WP and SAW methods, methods that have a higher level of accuracy and are in accordance with the conditions. The SAW method uses a weighted weaning system whereas the WP method uses multiplication in calculating the attribute rating. From the weight of each criteria there will be used in the calculation to produce several alternatives. The object of the case study in this study is the determination of people's business credit in the banking world using seven criteria. the criteria used are personal character, credit status, business condition, income, guarantee, guarantee condition and installment. Results of testing using SAW method and WP method, it can help compare the best alternative level results by using the same data and criteria, so both methods can be used as consideration in decision making. WP method gives clear cost and benefit value compared to SAW, but in SAW result gives more clear result because it is based on predetermined value and weight. © The Authors, published by EDP Sciences, 2018.

关键词： Decision support systems

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Comparison of case-based reasoning and dempster shafer on expert system of cassava disease identification 2

Comparison of case-based reasoning and dempster shafer on ex...

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2nd International Conference on Technology, Innovation, Society and Science-to-Business, ICTIS 2018

作者： Minarni Warman, Indra Yuhendra Handayani, Wenda Institut Teknologi Padang Informatics Engineering Study Program Padang Indonesia

This study aims to develop a web-based expert system that can identify cassava disease using Case-Based Reasoning Method and Shafer Dempster Method, and to know the performance comparison of both based on the accuracy of identification. Case-Based Reasoning (CBR) is a computer-generated system that uses old knowledge to solve new problems. CBR provides solutions to new cases by looking at the oldest cases that are closest to new cases. The identification process is done by entering new cases containing the symptoms to be identified into the system, then perform the process of calculating the value of similarity between the new case and the base case using the nearest neighbor method. Dempster Shafer based on two ideas is the idea of obtaining degrees of confidence of subjective possibilities and the rule of dempster safer itself to combine degrees of confidence based on the evidence obtained. This expert system is built using PHP programming language and MySQL data base. The output of the system is the percentage of identification result of both methods. Testing and analysis results show that Case-Based Reasoning provides better identification accuracy than Dempster Shafer. © The Authors, published by EDP Sciences, 2018.

关键词： Case based reasoning

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Correlation between digital literacy and environmental literacy of 11th-grade students

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AIP Conference Proceedings 2024年第1期3106卷

作者： Mimien Henie Irawati Al Muhdhar Shinta Amrul Khoirina Muhamad Arjuna Salim Racy Rizky Abdillah Diana Hernawati Diki Muhamad Chaidir Muhammad Iqbal Akbar Lely Mardiyanti Mohammad Qodri Department of Biology Faculty of Mathematics and Sciences Universitas Negeri Malang Malang East Java Indonesia Department of Biologi Education Universitas Siliwangi Tasikmalaya Wesst Java Indonesia Department of Electrical and Informatics Engineering Faculty of Engineering Universitas Negeri Malang Malang East Java Indonesia Study Program of Biological Education Universitas Jambi Jambi Indonesia SMA Negeri 1 Batu Batu East Java Indonesia

The rapid development of technology, information, and communication requires students to master digital literacy. In addition, the rapid development of technology also affects environmental conditions, so it is necessary to master environmental literacy to understand and interpret environmental conditions, as well as build students’ awareness of environmental issues. This study aims to determine the correlation between digital literacy and student environmental literacy. The population in this research includes 11th-grade students of SMAN 1 Batu. The research sample amounted to 102 students, and the sampling technique used was purposive random sampling. Data were collected through digital literacy questionnaires, environmental literacy questionnaires, and environmental literacy tests. The data were tested for normality and homogeneity prerequisites and then analyzed using the Pearson Correlation statistical test. The results obtained show that the average digital literacy score of students is 105.1, including the high category, and the average student environmental literacy score is 279.7, included in the medium category. The high level of digital literacy will make students more critical in accessing technology and digital media. Digital literacy includes the process of finding, using multiple sources, evaluating, and using information to produce original products, with the maximum application of digital literacy, which is expected to support students’ environmental literacy in providing knowledge, understanding, and building an attitude of caring for the environment. The data obtained shows that there is a positive relationship between digital literacy and environmental literacy.

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