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Fields, Brian D., and Keith A. Olive. "Model-independent predictions of big bang nucleosynthesis." Physics Letters B 368, no. 1-2 (1996): 103–11. http://dx.doi.org/10.1016/0370-2693(95)01508-6.
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Syahri, Moch, Agus Musaddiq Fikri, and Dwi Novita Ernaningsih. "Tingkat Literasi Informasi Siswa MAN 1 Jembrana Menggunakan BIG 6 Model." JIPI (Jurnal Ilmu Perpustakaan dan Informasi) 6, no. 1 (2021): 91. http://dx.doi.org/10.30829/jipi.v6i1.9317.
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Gusriani, Moliza, and Anis Masruri. "Keterampilan Literasi Informasi di Era Digital Berdasarkan Model The Big 6." Tik Ilmeu : Jurnal Ilmu Perpustakaan dan Informasi 7, no. 1 (2023): 61. http://dx.doi.org/10.29240/tik.v7i1.6128.
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The need for information in the digital era is increasing because information is easier to access anytime and anywhere. Efforts that must be applied in order to obtain quality information and as needed, namely by having information literacy skills. Information literacy is the ability to respond and meet information needs. By understanding information literacy, it is expected that the public can receive precise and accurate information. The purpose of this study is to discuss the skills and methods of searching for information needed by each individual. This research uses a type of qualitative research with a descriptive approach supported by literature review in accordance with the topic of this article, namely from books and scientific articles. The result of the discussion of this article is that there is some information on literacy skills models that can be utilized by individuals, as discussed in this article is the Big 6 model which is often used in research, employment, education and others. While the information search technique that can be used easily is the Boolean method.
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Mr., Manish Vala, Patel Kajal, and Lad Harsh. "Multi Model Biometrics Data Retrieval Through Big Data." International Journal of Trend in Scientific Research and Development 2, no. 6 (2018): 1273–77. https://doi.org/10.31142/ijtsrd15933.
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This study is devoted to Big Data problems in biometric technologies. Before the traditional database were not capable to handle the large amount of data, so we highlight the concept of using Big Data technology in solution of a wide range of issues faced by the national security, law enforcement system and defence authorities. The study provides information about Big Data in the field of biometric technology. Mr. Manish Vala | Kajal Patel | Harsh Lad "Multi Model Biometrics Data Retrieval Through: Big-Data" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: https://www.ijtsrd.com/papers/ijtsrd15933.pdf
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KAMIMURA, M., Y. KINO, and E. HIYAMA. "STAU-CATALYZED BIG-BANG NUCLEOSYNTHESIS AND NUCLEAR CLUSTER MODEL." International Journal of Modern Physics A 24, no. 11 (2009): 2076–83. http://dx.doi.org/10.1142/s0217751x09045649.
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Three-body cluster-model calculations are performed for the new types of big-bang nucleosynthesis (BBN) reactions that are calalyzed by a supersymmetric (SUSY) particle stau, a scalar partner of the tau lepton. If a stau has a lifetime ≳ 103s, it would capture a light element previously synthesized in standard BBN and form a Coulombic bound state. The bound state, an exotic atom, is expected to induce various reactions, such as (αX-) + d → 6 Li + X-, in which a negatively charged stau (denoted as X-) works as a catalyzer. Recent literature papers have claimed that some of these stau-catalyzed reactions have significantly large cross sections so that inclusion of the reactions into the BBN network calculation can change drastically abundances of some elements, giving not only a solution to the 6 Li -7 Li problem (calculated underproduction of 6 Li by ~ 1000 times and overproduction of 7 Li +7 Be by ~ 3 times) but also a constraint on the lifetime and the primordial abundance of the elementary particle stau. However, most of these literature calculations of the reaction cross sections were made assuming too naive models or approximations that are unsuitable for those complicated low-energy nuclear reactions. We use a few-body calculational method developed by the authors, and provides precise cross sections and rates of the stau-catalyzed BBN reactions for the use in the BBN network calculation.
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Cui, Ziyu. "House Price Prediction with Big Data." Advances in Economics, Management and Political Sciences 6, no. 1 (2023): 85–93. http://dx.doi.org/10.54254/2754-1169/6/20220155.
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Many of the current models for house price prediction focus on the house price index itself or include too few factors. In this research, however, different aspects of housing properties (bedrooms, bathrooms, grade, view, etc.) will be incorporated to generate a more accurate prediction model. Doing so not only remedies for a lack of variables in current models but also benefits the consumers by providing an accurate estimation of housing values. This paper examines the estimation methodology of a multiple linear regression model. To get the optimal prediction power and keep the model as simple as possible, different variable combinations will be tested. Through comparing different regression models and analyzing the regression results, the predictive model introduced in this paper has a high house price prediction power. This paper provides a potential solution for the prediction of the house price in the King County, Washington.
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Hendriawan, Priyatna, Tri Cahyanto, Neneng Windayani, and Ade Yeti Nuryantini. "Pemahaman Literasi Informasi Siswa : Literasi Halal Berdasarkan Model Literasi Informasi Big 6." Literasi: Jurnal Ilmu Pendidikan 16, no. 1 (2025): 111. https://doi.org/10.21927/literasi.2024.16(1).111-123.
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<em><span>In the digital era characterized by easy access to information, the ability to filter and understand valid information has become an essential skill in the 21st century. Information literacy, involving the ability to seek, evaluate, and effectively use information, also serves as a foundation in ensuring the halalness of products and services amidst the rapid flow of digital information. This study aims to analyze the level of halal information literacy among junior high school (SMP) students in West Bandung Regency based on the information literacy indicator model developed by the researcher. The research employs a mixed-method approach with a quantitative-qualitative design. Quantitative data were collected through closed-ended questionnaires and analyzed using descriptive statistics, while qualitative data were gathered through open-ended questionnaires and processed by identifying response patterns. The sample comprised 30 junior high school students selected through purposive sampling. The findings indicate that students’ halal information literacy falls into the moderate category, with a relatively good understanding at the stage of recognizing halal information sources. However, weaknesses were found in their ability to evaluate and utilize halal information effectively. Qualitative data reveal that students demonstrate high interest in halal information literacy but face challenges in identifying the halalness of products due to limited access to information and insufficient in-depth knowledge. This study contributes by developing halal information literacy indicators that can serve as a reference for assessing and improving halal literacy among students. These findings also form the basis for designing more comprehensive halal literacy education strategies in schools.</span></em>
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Chinsomboon, Montree, and Pallop Piriyasurawong. "Supply Chain Management for Pre-Teacher Preparation of Higher Education in Thailand Model." Higher Education Studies 14, no. 1 (2023): 8. http://dx.doi.org/10.5539/hes.v14n1p8.
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The article is in the second phase of research is about &ldquo;the big data architecture for pre-teacher preparation supply chain with prescriptive analytics of higher education in Thailand&rdquo;. The objectives of the study were (1) to study the pre-teacher preparation supply chain in Thailand, (2) to develop a model the big data system for the pre-teacher preparation supply chain management with prescriptive analytics of higher education in Thailand, (3) to design the big data architecture for the pre-teacher preparation supply chain management with prescriptive analytics of higher education in Thailand, (4) to develop the big data system for the pre-teacher preparation supply chain prescriptive of higher education in Thailand, (5) to assess accuracy of the predictive analytics in the pre-teachers needs of higher education in Thailand, and (6) to assess accuracy of the prescriptive analytics in the pre-teacher preparation of higher education in Thailand. In the study, the research procedures were divided into 6 steps according to the objectives, and all steps were assessed on the system suitability by 25 experts throughout the procedures.
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Minulescu, Mihaela. "BIG-FIVE OR BIG-SIX? A ROMANIAN EXPLORATORY STUDY BASED ON A NONVERBAL MEASURE." Psihologia Resurselor Umane 5, no. 1 (2020): 58–67. http://dx.doi.org/10.24837/pru.v5i1.311.
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The Five-Factor Nonverbal Personality Questionnaire, FF-NPQ (Paunonen, Ashton & Johnston, 2001) is an psychometric, structured, nonverbal measure of personality traits defined within the Big-Five model of personality (Costa & McCrae, 1992). The questionnaire has been experimented on Romanian population and the psychometric properties have been studied on a normative sample of 1800 subjects (Iliescu, Minulescu, Nedelcea, 2005). This study presents the results of an exploratory factorial analysis that was carried out in Romania on the items of the Five-Factor Nonverbal Personality Inventory (FFNPQ). The article is focused on the emergence of a 6-factor factorial solution, in some points different from Costa and McCrae's (1992) model, which has been the fundament of FFNPQ construction.
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Lyovin, B. A., and V. Ya Tsvetkov. "INFORMATION PROCESSES IN BIG DATA ENVIRONMENT." World of Transport and Transportation 15, no. 6 (2017): 20–30. http://dx.doi.org/10.30932/1992-3252-2017-15-6-2.
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[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT The article describes the results of the study on object and situation oriented modelling of transport control, reveals the sense and contents of relevant information models, similarities and differences between described models, considers features of static and dynamic data situations, their differentiation by criteria of interaction and state. The authors suggest method of the use of the model of information situation for assessment of information uncertainty for decision-making. Keywords: information, data, transport, management, control, modelling, information model of an object, situational information model, informatin uncertainty, belief function, likelihood function.
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Al-Qurishi, Muhammad, Saad Alhuzami, Majed AlRubaian, M. Shamim Hossain, Atif Alamri, and Md Abdur Rahman. "User profiling for big social media data using standing ovation model." Multimedia Tools and Applications 77, no. 9 (2017): 11179–201. http://dx.doi.org/10.1007/s11042-017-5402-6.
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Himawan, Catur Indra, Yosal Iriantara, and Farah Ruqayah. "ANALISIS KETERAMPILAN LITERASI INFORMASI PUSTAKAWAN DI PERPUSTAKAAN UNIVERSITAS MUHAMMADIYAH PURWOKERTO BERDASARKAN MODEL BIG 6." Nusantara - Journal of Information and Library Studies 1, no. 1 (2018): 90. http://dx.doi.org/10.30999/n-jils.v1i1.274.
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Penelitian ini menggunakan pendekatan kuantitatif dengan metode evaluasi. Populasi pada penelitian ini adalah seluruh pustakawan di Perpustakaan Universitas Muhammdiyah Purwokerto sebanyak 10 orang. Teknik pengumpulan data melalui kuisioner dan ditabulasikan dalam persentase. Berdasarkan hasil pada penelitian ini, penulis menyimpulkan bahwa tingkat kemampuan literasi informasi yaitu sebagian besar pustakawan mempunyai kemampuan dalam mendefenisikan masalah ditandai dengan 70%. Memiliki kemampuan strategi pencarian informasi dengan 60%. Kemampuan dalam menemukan dan mengakses lokasi informasi dengan 90%. Kemampuan dalam strategi pencarian informasi atau cara efektif untuk menyaring dan mengevaluasi informasi ditandai dengan 60%. Kemampuan mensitesis dan menggabungkan informasi ditandai dengan 70%. Kemampuan untuk menilai hasil dan proses pencarian dengan 60%. ABSTRACTThis research uses quantitative approach of evaluative study. The population of this research is all librarian in Muhammadiyah University Library Purwokerto, that is 10 people. Data were obtained by distributing questionnaires and obtaining questionnaire data then tabulated in percentage form. Based on the results of the discussion, the authors conclude that the level of literacy skill information is as follows: that most librarians have the skills in defining problems marked by 70%. Most have information search strategy skills marked 60%. Most have the skill of finding the access information location marked 90%. Most librarians have information search strategy skills or have an effective way to filter and extort information marked 60%. Most have synthesis skills or incorporate various information marked 70%. Most librarians have skills in assessing the results and processes that have been successfully tracked by 60%.
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Baji, Fatima, Zahed Bigdeli, Abdullah Parsa, and Carole Haeusler. "Developing information literacy skills of the 6th grade students using the Big 6 model." Malaysian Journal of Library & Information Science 23, no. 1 (2018): 1–15. http://dx.doi.org/10.22452/mjlis.vol23no1.1.
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Fázik, Jakub. "Modely informačnej gramotnosti a úloha knižníc v rámci informačného vzdelávania žiakov a študentov. Prístupy vybraných autorov modelov (C. C. Kuhlthau, Big 6)." Knižnica 17, no. 3 (2016): 9–20. https://doi.org/10.5281/zenodo.3568954.
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<strong>Information literacy models and role of libraries within students‘ information education (ISP, Big 6).</strong> Príspevok predstavuje dva odlišné modely informačnej gramotnosti (Information Search Process,The Big6 Skills), ako aj z nich vyplývajúce možnosti integrácie knižníc do procesu informačného vzdelávania na základných a stredných školách. The contribution presents two information literacy models, as well as possibilities to integrate libraries into the process of information education at elementary and high schools. First model is Information Search Process (ISP) first suggested by Carol C. Kuhlthau, who is currently retired American professor of Library and Information Science. The author of the article clarifies basis of the model, its fundamental stages defined by the analysis of respondent‘s experiences with information searching, and role of librarians as mediators in the context of the model too. Second model is The Big Six Skills developed by Michael Eisenberg and Robert Berkowitz. The common feature of both mentioned models is an emphasis on cooperation of teachers and librarians within the education for information. <strong>Dostupné na: </strong><em>link 1, link 2, link 3,<strong> </strong>link 4,<strong> </strong>link 5,<strong> </strong>link 6</em> <strong>Záznam: </strong><em>KIS3G</em><strong>, </strong><em>Uniba.sk</em><strong>, </strong><em>CREPČ 1</em>
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Harahap, Annisa Adinda Putri, and Septian Prawijaya. "PENGEMBANGAN MEDIA PEMBELAJARAN BIG BOOK TEMA 6 SUB TEMA 2 HEBATNYA CITA-CITAKU PEMBELAJARAN 2 KELAS IV SDN 067690 MEDAN JOHOR." Jurnal Teknologi Pendidikan (JTP) 16, no. 2 (2023): 102. http://dx.doi.org/10.24114/jtp.v16i2.50906.
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Abstrak: Penelitian ini bertujuan untuk 1) mengetahui validitas media pembelajaran Big Book 2) mengetahui praktikalitas media pembelajaran Big Book 3) mengetahui efektifitas media pembelajaran Big Book. Jenis penelitian yang digunakan R&D dengan model pengembangan 4D yaitu Define, Design, Develop, dan Disseminate. Subjek penelitian ini sebanyak 25 siswa/i Kelas IV-B SD Negeri 067690 Medan Johor. Teknik pengumpulan data menggunakan angket, tes, dan dokumentasi. Teknik analisis data menggunakan pendekatan kualitatif dan kuantitatif. Hasil penelitian ini persentase ahli materi 96,17% dinyatakan “Sangat Layak” dan persentase validasi ahli media 89,43 % dinyatakan “Sangat Layak”. Praktikalitas dengan persentase 98% dinyatakan “Sangat Praktis”. Efektivitas N-Gain skor diperoleh sebesar 0,76 atau g>0,7 dan N-Gain Skor Persen 76,01% dinyatakan “Efektif”. Dapat disimpulkan media pembelajaran Big Book yang dikembangkan peneliti sangat layak, sangat praktis, sangat efektif digunakan pada Tema 6 Cita-citaku Sub Tema 2 Hebatnya Cita-Citaku Pembelajaran 2 Kelas IV SDN 067690 Medan Johor T.A 2022/2023. Kata Kunci: Pengembangan, Big Book, 4D. Abstract: This study aims to 1) determine the validity of Big Book learning media 2) determine the practicality of Big Book learning media 3) determine the effectiveness of Big Book learning media. The type of research used is R&D with the 4D development model, namely Define, Design, Develop, and Disseminate. The subjects of this study were 25 students in Class IV-B of SD Negeri 067690 Medan Johor. Data collection techniques using questionnaires, tests, and documentation. Data analysis techniques using qualitative and quantitative approaches. The results of this study are the percentage of material experts 96.17% declared "Very Feasible" and the percentage of media expert validation 89.43% declared "Very Feasible". Practicality with a percentage of 98% is declared "Very Practical". The effectiveness of the N-Gain score obtained was 0.76 or g>0.7 and the N-Gain Percent Value of 76.01% was declared "Effective". It can be concluded that the Big Book learning media developed by researchers is very feasible, very practical, very effective to use on Theme 6 My Ideals Sub Theme 2 Great My Ideals Learning 2 Class IV SDN 067690 Medan Johor T.A 2022/2023. Keywords: Development, Big Book, 4D
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Kevin Alfredo, Harold. "Analysis of Fama and French 3-Factor Model Variables in the Formation of Expected Stock Returns (Issuers of Lq-45 Index Member Stocks for the Period 2020 – 2022)." Edunity Kajian Ilmu Sosial dan Pendidikan 2, no. 7 (2023): 794–804. http://dx.doi.org/10.57096/edunity.v2i7.122.
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Fama and French Three Factor Model is one of the models for calculating expected return on stock portfolios that can be used by investors. This model was developed by Eugene F. Fama and Kenneth R. French by adding two factors, namely company size (SMB), and company book value (HML) to the CAPM calculation model. The purpose of this study is to determine stock issuers that can provide high expected returns to investors, determine the overall influence and each variable in Fama and French Three Factor Model (market return, SMB, and HML) on the expected return of each portfolio used in this study consisting of 6 portfolios, namely Big High, Big Medium, Big Low, Small High, Small Medium, and Small Low, and to all 6 portfolios in 2020, 2021, and 2022 respectively. 
 This study used 28 selected stock issuers listed on the LQ-45 Index consecutively from 2020 - 2022 using the purposive sampling method from the period 2020 - 2022. The Multiple Linear Regression method is used to determine the level of influence of the whole and each independent variable on the dependent variable.
 The results show that mining sector issuers are the issuers that provide the highest expected return to investors during the period 2020 - 2022. Based on the results of Linear Regression, there is a significant difference in results, between doing linear regression for each portfolio (Big High, Big Medium, Big Low, Small High, Small Medium, and Small Low) and doing linear regression on portfolios divided by observation year (2020, 2021, and 2022).
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Hidayat, Husnul, and Prabu Al Kautsar Sudarsono. "Analisis Pembuatan Kontur Peta Rupa Bumi Indonesia dengan Wahana LiDAR (Light Detection and Ranging) (Studi Kasus: Penajam, Kalimantan Timur)." GEOID 19, no. 2 (2024): 274–82. http://dx.doi.org/10.12962/geoid.v19i2.1173.
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Data ketinggian Digital Elevation Model (DEM) terdiri atas Digital Surface Model (DSM) dan Digital Terrain Model (DTM). DSM adalah informasi yang menggambarkan model permukaan bumi beserta seluruh objek yang berada di atasnya. Sedangkan DTM menggambarkan model permukaan bumi tanpa objek yang berada di atasnya di wilayah darat. DTM dibentuk dari kelas ground dan dilakukan hydro-flattening yaitu dengan meratakan area permukaan air. dengan kata lain, DTM merupakan kumpulan titik data sampel yang terus mewakili distribusi spasial dari berbagai jenis informasi di medan. Contoh sumber data yang dapat dugunakan dalam pembuatan DTM adalah data LiDAR. DTM kemudian dapat digunakan dalam pembuatan kontur peta. Ketelitian kontur pada peta RBI diatur dalam Peraturan Kepala Badan Informasi Geospasial No. 6 tahun 2018 serta Peraturan Kepala Badan Informasi Geospasial No. 1 Tahun 2020. Data yang digunakan dalam penelitian ini yaitu data LiDAR. Pengolahan data tersebut menggunakan metode yaitu Slope Based Filtering (SBF). Setelah dilakukan proses pengolahan data pada data LiDAR kemudian didapatkan hasil berupa kontur. Dimana Kemudian setelah terbentuk kontur dari masing-masing data, dilakukan pengujian ketelitian berdasarkan PERKA BIG No. 6 Tahun 2018 dan PERKA BIG No. 1 Tahun 2020. Hasil dari penelitian ini yaitu uji LE90 pengolahan data LiDAR sebesar 0.523 m. Berdasarkan Perka BIG No. 6 Tahun 2018 dan PERKA BIG No. 1 Tahun 2020 pada ketelitian peta skala 1:5000, hasil pengolahan data LiDAR masuk kelas 1. Berdasarkan hasil kontur yang dihasilkan, Kontur hasil dari LiDAR memiliki kerapatan yang terbilang baik. Hal ini dikarenakan pada hasil dari LiDAR memiliki nilai RMS Error yang rendah.
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Ольга Владимировна, Галанина, and Золотарёва Юлия Павловна. "Cluster model for big data analysis in livestock production." STATE AND MUNICIPAL MANAGEMENT SCHOLAR NOTES 1, no. 3 (2023): 67–74. http://dx.doi.org/10.22394/2079-1690-2023-1-3-67-74.
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Intelligent methods of analysis, which include the problem of clustering, are widely used in the field of economics of the agro-industrial complex. The clustering problem belongs to the class of unsupervised learning problems. The essence of the problem is the grouping of research objects according to the use of similarity. If the regions of the Russian Federation are selected in terms of livestock production, they can also be automatically grouped according to the similarity recipe. The k-means method is currently a successful method for solving clustering problems. The main stage of solving the problem is the collection of data, which includes all the main characteristics of the object. For example, if you set up production in the region in terms of animal husbandry, then it would be more logical to x1 - meat production per capita and x2 – milk production per capita. The criterion for choosing the number of clusters is the root mean square error. In total, 79 regions of the Russian Federation participated in the analysis. It turned out that the potential to break all regions of the Russian Federation into 7 clusters of similarity. Regions with high milk and meat production (clusters 4 and 6), regions with high milk and meat production (clusters 2, 3, 5) and regions with low milk and meat production (clusters 0, 1) were identified.
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Chairani, Sevia, Tuti Iriani, and R. Eka Murtinugraha. "ANALISIS KEMAMPUAN LITERASI INFORMASI MAHASISWA MENGGUNAKAN MODEL THE BIG 6 SKILLS PADA MATA KULIAH KONSTRUKSI BANGUNAN I." Journal of Vocational and Technical Education (JVTE) 3, no. 2 (2022): 18–25. http://dx.doi.org/10.26740/jvte.v3n2.p18-25.
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Penelitian ini bertujuan untuk mengetahui kemampuan literasi informasi mahasiswa dengan menggunakan Model The Big 6 Skills pada mata kuliah Konstruksi Bangunan I. Jenis penelitian yang digunakan adalah kuantitatif deskritif. Metode yang digunakan adalah metode survei dengan teknik pengumpulan data yang digunakan yaitu tes berupa pilihan ganda. Hasil realibilitas untuk instrumen = 0,958. Teknik pengambilan sampel yang digunakan adalah cluster random sampling. Populasi sebanyak 115 dengan jumlah sampel 87 mahasiswa angkatan 2016 dan 2017 program studi S1 Pendidikan Teknik Bangunan UNJ.Penelitian ini menggunakan model The Big 6 Skills yang memiliki 6 indikator, yaitu: Perumusan Masalah, Strategi Pencarian Informasi, Lokasi dan Akses, Pemanfaatan Informasi, Sintesis dan Evaluasi. Hasil penelitian menunjukkan bahwa nilai pada indikator perumusan masalah = 49,43 mendapatkan kategori rendah. Namun, nilai pada strategi pencarian informasi = 70,98, lokasi dan akses = 80,17 memiliki kategori tinggi. Dan untuk nilai pada pemanfaatan informasi = 56,61, sintesis = 64,37 dan evaluasi = 58,05 mendapatkan kategori cukup.Hal tersebut dapat disimpulkan bahwa kemampuan literasi informasi mahasiswa PTB UNJ mandapatkan kategori cukup dengan nilai rata-rata 63,27. Untuk meningkatkan kemampuan literasi informasi diperlukan upaya-upaya yang dilakukan oleh pendidik maupun mahasiswa khususnya pada tahap perumusan masalah.
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Pappe, Ya, and N. Antonenko. "On New Configurations of Owners of Russian Big Business." Voprosy Ekonomiki, no. 6 (June 20, 2011): 123–37. http://dx.doi.org/10.32609/0042-8736-2011-6-123-137.
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This article formulates and empirically proves the hypothesis of emerging a new model of interaction among natural persons - key owners of big Russian companies. It establishes the fact of transition from the model of individual ownership to the model of co-owners alliance that took place in the late 2000s. The article zeros in on configurations of partners among the Russian business super elite.
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Zainuddin, Muhammad, Ahmad Saifudin, Lestariningsih Lestariningsih, and Umi Nahdliyah. "Pengembangan Big Book dengan Model TPACK dalam meningkatkan Kemampuan Literasi Menulis Anak SD." Briliant: Jurnal Riset dan Konseptual 7, no. 3 (2022): 770. http://dx.doi.org/10.28926/briliant.v7i3.1045.
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Berdasarkan hasil observasi di SDI Wildan Mukholadun bahwa ada siswa dalam pembelajaran literasi dalam mengembangkan paragraph sederhana masih merasa sulit, selain itu dalam mengembangkan literasi seperti halnya mengarang dalam pelajaran tematik nilai siswa juga masih belum maksimal. Rumusan masalah di penelitian ini adalah: Apakah pengembangan big book dengan model TPACK dalam meningkatkan kemampuan literasi menulis anak SD di SDI Wildan Mukholadun? Penelitian ini bertujuan yaitu memberikan solusi bagaimana memecahkan masalah yang terjadi dengan cara mengembangkan big book dengan model TPACK anak SD di SDI Wildan Mukholadun Desa Kemloko Kecamatan Nglegok Kabupaten Blitar, yang sesuai dengan kondisi saat ini. Penelitian pengembangan ini mengadopsi model Borg and Gall dengan tahapan yang terdiri dari: (1) penelitian dan pengumpulan informasi, (2 perencanaan, (3) pengembangan formulir pendahuluan, (4) pengujian pendahuluan, (5) utama revisi produk, (6) uji coba lapangan utama, (7) revisi produk operasional, (8) uji lapangan operasional, (9) revisi produk akhir, (10) mendesiminasikan produk. Subjek uji lapangan pendahuluan adalah kelas 4, 5 dan 6 dengan menggunakan metode random sampling. Data penelitian diperoleh melalui teknik interview yang dilakukan setelah proses observasi pembelajaran kelas selama kurun waktu 3 bulan pembelajaran kelas. Melakukan wawancara untuk proses mengumpulkan data, validasi produk, observasi serta angket. Hasil penelitian ini menghasilkan produk pengembangan big book dengan model TPACK yang sudah teruji dan divalidasi oleh 3 ahli bidang yaitu: 1) Reditya Wempi Ansori, M.Pd ahli instrumen, 2) Abd. Charis Fauzan, M.Kom, ahli media, dan 3) Indah Yulianti, S.Pd, ahli materi. Adapun hasil dari penelitian ini diperoleh bahwa pengembangan big book dengan model TPACK untuk meningkatkan kemampuan literasi siswa SD diperoleh tingkat kevalidan sangat baik dengan score 97%.
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Wang, Haolun. "Big data in COVID-19 prevention and control: Modeling and analysis report." Applied and Computational Engineering 6, no. 1 (2023): 35–44. http://dx.doi.org/10.54254/2755-2721/6/20230403.
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The COVID-19 epidemic has brought great external impact to China. China is facing complex internal and external environmental challenges. SIR epidemic model is a classical partition model, which is widely used to predict the progress of COVID-19. Although the SIR model may be useful in simulating multiple epidemics, it may not be sufficient to describe the spread of COVID-19. Therefore, some modifications were made and used to study the spread and control of COVID-19 epidemic on the SIR model of COVID-19 disease. Expand it by increasing the link between tracking and other interventions. By studying the SEIR model considering the interaction between human and infectious source. In this paper, we will use the classical SIR model to simulate and predict the spread of COVID-19. By distinguishing between confirmed and undiagnosed individuals, the development of COVID-19 is characterized by phased changes. Based on the preliminary data analysis of the epidemic on various industries, the actual impact of the epidemic on society was quantitatively analyzed.
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Jung, Se-Hoon, and Jong-Chan Kim. "Efficiency Improvement of Classification Model Based on Altered K-Means Using PCA and Outlier." International Journal of Software Engineering and Knowledge Engineering 29, no. 05 (2019): 693–713. http://dx.doi.org/10.1142/s0218194019400047.
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In the generation and analysis of Big Data following the development of various information devices, the old data processing and management techniques reveal their hardware and software limitations. Their hardware limitations can be overcome by the CPU and GPU advancements, but their software limitations depend on the advancement of hardware. This study thus sets out to address the increasing analysis costs of dense Big Data from a software perspective instead of depending on hardware. An altered [Formula: see text]-means algorithm was proposed with ideal points to address the analysis costs issue of dense Big Data. The proposed algorithm would find an optimal cluster by applying Principal Component Analysis (PCA) in the multi-dimensional structure of dense Big Data and categorize data with the predicted ideal points as the central points of initial clusters. Its clustering validity index and [Formula: see text]-measure results were compared with those of existing algorithms to check its excellence, and it had similar results to them. It was also compared and assessed with some data classification techniques investigated in previous studies and we found that it made a performance improvement of about 3–6% in the analysis costs.
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Lopes, António M. "Complete dynamic modelling of a moving base 6-dof parallel manipulator." Robotica 28, no. 5 (2009): 781–93. http://dx.doi.org/10.1017/s0263574709990506.
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SUMMARYIn this paper a new approach based on the generalized momentum is used to obtain the dynamic model of a six degrees-of-freedom (dof) parallel manipulator. First, the system dynamic equations are obtained supposing the manipulator base platform is fixed. Afterwards, the dynamic model is extended to the case of a moving base platform. This could be important in a macro/micro robotic application, where a small manipulator is attached in series to a big manipulator. Simulation results of a macro/micro robotic system are presented and the contribution of the base platform motion to the total actuating forces is shown.
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Bhaskaran, Dr Subhashini Sailesh. "A Knowledge Management Model to Improve Strategic Planning and Decision Making in HEIs." International Journal of Engineering and Advanced Technology 12, no. 5 (2023): 140–47. http://dx.doi.org/10.35940/ijeat.e4209.0612523.
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Knowledge management practices in Higher education institutions can lead to better decision making, better curriculum development, and research, enhanced academic and administrative services and better utilisation of resources (Kidwell et al., 2000) [6]. Moreover, the advancement in the field of Data Mining and big data science has opened up significant opportunities for these institutions to create, manage, protect and disseminate knowledge effectively. This paper presents a knowledge management model to enhance the research processes, teaching and learning processes, student and alumni services, administrative services and processes, strategic planning and management. This paper uses data mining and big data science techniques to unearth the knowledge hidden in student information systems to enable improved HEIs management and progress.
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Dr., Subhashini Sailesh Bhaskaran. "A Knowledge Management Model to Improve Strategic Planning and Decision Making in HEIs." International Journal of Engineering and Advanced Technology (IJEAT) 12, no. 5 (2023): 140–47. https://doi.org/10.35940/ijeat.E4209.0612523.
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<strong>Abstract: </strong>Knowledge management practices in Higher education institutions can lead to better decision making, better curriculum development, and research, enhanced academic and administrative services and better utilisation of resources (Kidwell et al., 2000) [6]. Moreover, the advancement in the field of Data Mining and big data science has opened up significant opportunities for these institutions to create, manage, protect and disseminate knowledge effectively. This paper presents a knowledge management model to enhance the research processes, teaching and learning processes, student and alumni services, administrative services and processes, strategic planning and management. This paper uses data mining and big data science techniques to unearth the knowledge hidden in student information systems to enable improved HEIs management and progress.
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Petrov, Sergey P. "APPLICATION OF THE ESSENTIAL FACILITIES DOCTRINE IN THE ANALYSIS OF THE BIG DATA OPERATORS BEHAVIOR." Russian Economic Journal, no. 6 (December 14, 2022): 93–110. http://dx.doi.org/10.33983/0130-9757-2022-6-93-110.
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Digital transformation of economy leads to changes in industrial markets and firms behavior on them. They begin to compete basing not on expansion of their market share but on creating a benefit for a consumer. Therefore, increase of firm competitiveness requires information about consumer preferences and behavior, which in turn leads to a changes in the role and forms of supply chain participants interaction. In such a situation, big data operators gain a competitive advantage, backed by high fixed costs of extracting value from big data, which provides monopoly power. The question arises about the possibility of considering big data and the behavior of such data operators based on the provisions of the essential facilities doctrine. The research is based on the theory of essential facilities and its application in the construction of an optimization model of big data market subjects behavior. The matter of big data attribution to essential facilities is solved basing on study of approaches to interpretation of big data and essential facilities categories, analysis of interrelation and size of big data processing costs, building a model of big data operator behavior when supplying firms on neighboring markets with processed information. It is shown that big data in processed form can be attributed to essential facilities as their collection and processing are connected to high initial costs which block possibility of their duplication by competitors. However, the peculiarity of it as essential facilities is that they do not completely limit the possibility of entering the market, but determine the competitiveness of firms in it, which causes the growth of the importance of such an entry barrier as the formation of customer loyalty. Such results raise the question of the need and ways to regulate access to big data as essential facilities, since their incorrect regulation or lack of such can lead to a decrease in the markets or supply chains performance and the effectiveness of industrial or antimonopoly regulation.
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Zainuddin, Mohammad, Ahmad Saifudin, Lestariningsih Lestariningsih, and Umi Nahdiyah. "Developing of Literacy Skills in Writing Stories for Elementary School by Using Big Book." Jurnal Prima Edukasia 11, no. 2 (2023): 197–205. http://dx.doi.org/10.21831/jpe.v11i2.59419.
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The aim of this study is to describe the process and the result of developing literacy skills in writing stories for Elementary School by Using Big Book. This study uses research and development research methods. The steps taken from the ADDIE development model were used in this research's research model for the development of teaching and learning media, which included five stages, namely (analysis), (design), (development), (implementation), and (evaluation). The subjects of the preliminary field test were grades 4, 5, and 6 using the random sampling method. The research data was obtained through the interview technique which was conducted after the observation process of classroom learning within a period of 3 months of classroom learning. The data was collected by observation, interviews, product validation, and questionnaires. The results of this study resulted in a Big Book-based thematic textbook product with the TPACK model that has been tested and validated by experts. The average results starting from the assessment of the feasibility of big book textbooks by material testing, feasibility of textbooks by media experts, feasibility of big book textbooks by classroom teachers, feasibility of big book textbooks by small group testing, and feasibility of big book textbooks by testing field obtained an average of 4.35. It means that the big book is very suitable to be used as a teaching medium in literacy learning for students of Wildan Mukholladun.
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Agrestin, Ira, and Eka Cahya Maulidiyah. "Pengembangan Media Big Book terhadap Pengetahuan Bencana Banjir pada Anak Usia 5-6 Tahun." Al-Hikmah : Indonesian Journal of Early Childhood Islamic Education 5, no. 2 (2021): 90–111. http://dx.doi.org/10.35896/ijecie.v5i2.199.
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The increasing activity of the population and the need for space is a problem with the development trend in urban areas. Flash floods become the most dominating disaster. Lack of knowledge about the risks of flood disasters makes children the most vulnerable group in society when natural disasters occur. Knowledge of flood disasters needs to be introduced to children from an early age, because disasters have become a routine occurrence in daily life. This development research aims to determine the design of the big book media development and the feasibility of the big book media on knowledge of flood disasters in children aged 5-6 years. This research uses the type of research R & D or (Research and Development) with the ADDIE model (Analyze, Design, Development, Implementation, Evaluation). This research consists of 3 stages, namely: (1) Analysis, (2) Design, (3) Development. Data collection techniques using questionnaire data. The media big book is A3 size and 18 pages in size, containing material about the causes and consequences of flooding, preparation before, during and after the flood. The big book media display shows the character Kiki with his father and mother during a flood and carrying equipment to face the flood. Feasibility of media products in terms of material and media based on assessment instrument indicators. Based on the analysis of the results of calculations based on the validation test by material experts amounting to 86.1% and media experts by 95.6%, the results are very feasible category. The percentage of results from suggestions and input by 10 PAUD teachers as media users obtained a result of 79.6%, which was categorized as feasible. Thus, the development of the big book media on knowledge of flood disasters in early childhood is deemed appropriate as a learning medium for early childhood.
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Wibawa, Kadek Ary, and FX Sugiyanto. "GERAK MULTILATERAL MELALUI PERMAINAN BOLA BESAR UNTUK ANAK SD KELAS BAWAH." Jurnal Keolahragaan 3, no. 2 (2015): 194–207. http://dx.doi.org/10.21831/jk.v3i2.6244.
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Penelitian ini bertujuan menghasilkan model pembelajaran gerak multilateral yang dibentuk melalui permainan bola besar, serta dikembangkan menjadi panduan guru olahraga dan pembelajaran dengan konsep permainan. Penelitian ini dikembangkan dengan mengadaptasi penelitian dan pengembangan pendidikan model Gall, Gall, & Borg. Uji coba dengan skala kecil dilakukan terhadap 24 orang siswa di SD Mutiara Singaraja dan 85 orang siswa pada skala besar di SDN 1 dan SDN 3 Singaraja. Instrumen yang digunakan untuk mengumpulkan data adalah angket skala nilai validasi, pedoman observasi model pembelajaran permainan, dan pedoman observasi keefektifan model pembelajaran permainan. Hasil penelitian berupa pengembangan model pembelajaran gerak multilateral melalui permainan bola besar yang terdiri atas sembilan permainan, yaitu: (1) Berburu Bebek, (2) Bola Pertemanan, (3) Bola Zig-Zag Berlari, (4) Mengambil Mutiara, (5) Bola Berguling, (6) Bola Tembak, (7) Bola Raja, (8) Bola Gawang, dan (9) Bola Tepuk. Pengembangan model pembelajaran gerak multilateral disusun dalam buku pedoman pembelajaran dan CD dengan judul “Bola Multi Gerak”. Kata kunci: model, pembelajaran, gerak multilateral, permainan, bola besar MULTILATERAL TEACHING MOTION MODEL DEVELOPMENT THROUGH THE BIG BALL GAME FOR LOWER GRADE ELEMENTARY KIDS Abstract This study aims to produce a model of motion teaching multilateral form through big ball game. This study was developed by adapting the research and development of educational models Gall, Gall, & Borg. Small-scale trials were carried out on 24 students from SD Mutiara Singaraja. Big-scale trials were carried out on 85 students from SDN 1 and SDN 3 Singaraja. The instrument used to collect the data was a questionnaire rating scale validation, the model observation teaching game, and the observation model of the effectiveness of teaching games. The results of the study is the development of multilateral exercise motion model through the big ball game that consists of 9 games, namely: (1) Duck Hunting, (2) Friendship Ball, (3) Zig-Zag Running Ball, (4) Taking Pearl, (5) Rolling Ball, (6) Shoot Ball, (7) The King of Ball, (8) Goal Ball, and (9) Pat Ball. Multilateral teaching motion model development was compiled in teaching manuals and a CD with the title "Multi Ball Motion". Keywords: models, teaching, game, big ball
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Novitasari, Nine Febrie, and David Nurfiqih. "PENGEMBANGAN BIG BOOK UNTUK PENGAJAR BAHASA INGGRIS DI SEKOLAH TERPENCIL." Jurnal IKA PGSD (Ikatan Alumni PGSD) UNARS 8, no. 2 (2020): 372. http://dx.doi.org/10.36841/pgsdunars.v8i2.836.
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Bahasa Inggris sudah mulai diperkenalkan di tingkatan sekolah dasar walaupun posisinya hanya sebagai mata pelajaran muatan lokal. Hal ini dikarenakan sekolah-sekolah di daerah terpencil tidak memiliki guru yang dapat mengajar mata pelajaran Bahasa Inggris. Namun di banyak sekolah terpencil, sering ditemukan masalah seperti tidak adanya pengajar Bahasa Inggris terlatih dan media ajar yang mendukung. Masalah-masalah ini juga ditemukan di SD Negeri 6 Tambak Ukir Kecamatan Kendit Kabupaten Situbondo. Pembelajaran Bahasa Inggris di sekolah tidak maksimal karena tidak adanya media ajar Bahasa Inggris. Solusi untuk menjawab permasalahan tersebut adalah dengan mengembangkan media ajar big book. Tampilan big book yang penuh warna dan menarik membuat siswa lebih tertarik untuk belajar. Maka dari itu, tujuan penelitian ini adalah untuk mengembangkan big book sebagai media ajar alternatif yang dapat dipakai untuk mengajar mata pelajaran Bahasa Inggris di SD Negeri 6 Tambak Ukir. Model penelitian dan pengembangan (research and development) yang dipakai diadaptasi dari model Gall dkk (2003). Ada empat tahap dalam proses pengembangan ini yaitu analisis masalah, pengembangan produk, uji coba produk, dan revisi produk. Hasil akhir dari pengembangan ini adalah poduk pendidikan, yaitu sepuluh big book dengan beberapa jenis tema dilengkapi dengan petunjuk penggunaan. Instrumen yang dipakai dari tahap awal ampai akhir adalah kuesioner, petunjuk evaluasi media ajar, lembar observasi, dan pedoman wawancara. Hasil dari penelitian ini adalah satu set big book dengan tema: numbers, letters, body parts, farm animals, colors, greetings and leave-takings, family members, occupations, playground, dan narrative. Setelah melalui tahap validasi dan uji coba, big book ini terbukti valid, efektif, dan praktis.
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Wang, Shengsheng. "Research on the Mechanism Innovation Ability Model of Higher Vocational Students’ Entrepreneurship Education in the Big Data Era." BCP Education & Psychology 3 (November 2, 2021): 32–37. http://dx.doi.org/10.54691/bcpep.v3i.6.
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Cultivating innovation ability is an important task faced by higher vocational educators. The level of innovation ability reflects the degree of self-improvement, self-regulation, and self-realization of higher vocational students. It promotes scientific education and plays a guiding role in cultivating innovative talents. Based on the background of the era of big data, the thesis builds an index system for higher vocational students' entrepreneurial education ability, and is committed to establishing a scientific evaluation system. This provides theoretical basis and practical guidance for educators.
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Wang, Fei-Peng. "Research on Application of Big Data in Internet Financial Credit Investigation Based on Improved GA-BP Neural Network." Complexity 2018 (December 2, 2018): 1–16. http://dx.doi.org/10.1155/2018/7616537.
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The arrival of the era of big data has provided a new direction of development for internet financial credit collection. First of all, the article introduced the situation of internet finance and traditional credit industry. Based on that, the mathematical model was used to demonstrate the necessity of developing big data financial credit information. Then, the Internet financial credit data are preprocessed, the variables suitable for modeling are selected, and the dynamic credit tracking model of BP neural network based on adaptive genetic algorithm is constructed. It is found that both LM training algorithm and Bayesian algorithm can converge the error to 10e-6 quickly in the model training, and the overall training effect is ideal. Finally, the rule extraction algorithm is used to simulate the test samples. The accuracy rate of each sample method is over 90%, and some accuracy rate is even more than 90%, which indicates that the model is applicable to the credit data of big data in internet finance.
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Acosta, Montserrat, and B. Sohngen. "How big is leakage from forestry carbon credits? Estimates from a global model." IOP Conference Series: Earth and Environmental Science 6, no. 5 (2009): 052011. http://dx.doi.org/10.1088/1755-1307/6/5/052011.
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Liu, Bing. "Text sentiment analysis based on CBOW model and deep learning in big data environment." Journal of Ambient Intelligence and Humanized Computing 11, no. 2 (2018): 451–58. http://dx.doi.org/10.1007/s12652-018-1095-6.
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Imam, Pandu, Santosa Santosa, Isril Berd, and Anwar Kasim. "Penggunaan Analisis Regresi Linear Berganda untuk Mendapatkan Model Prediksi Respon Asam Lemak Bebas dan Dobi Hasil Rebusan Tandan Buah Segar Sawit." Jurnal Teknologi dan Industri Pertanian Indonesia 9, no. 2 (2017): 55–64. http://dx.doi.org/10.17969/jtipi.v9i2.8034.
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Target of this research are : ( 1) Knowing physical result of steaming of Fresh Fruit Bunch; ( 2) Knowing the chemical of result of steaming of Fresh Fruit Bunch; ( 3) Finding model of prediction respon result of sterilization of Fresh Fruit Bunch ( 4 ) Determining time depth of steaming most precise to condition of raw material ( FFB ) to be sterilization. This research done at PT.Bio Nusantara Teknologi Bengkulu, by using horizontal type sterilizer. Research method the used experiment which is direct to be done at factory. Multiple regression analysis to analyse data obtained, to the investigation of influence of free variable to variable of respon representing indicator efficacy of sterilization operation. Result of research indicate that treatment of variation : heavy classification of bunches, fruit maturity and time depth steaming to have an effect on to respon result of sterilization perceived. Model of Prediction of met steaming respon as follows : Y1(Evaporation %) = 5,18 - 0,042 X1- 0,012 X2+0,082 X3 ; Y2 ( Fruit lose, g)=1629,96+8,14X1 - 3,22 X2 - 10,22 X3 ; Y3(Throughput apart mesokarp, g / men ) = - 0,748 - 0,297 X1 + 0,111 X2 + 0,336 X3 ; Y4 (percent heavy of mesokarp = 60,12 - 0,044 X1 + 0,018 X2 - 0,103 X3 ; Y5 ( Amount of kernel break = - 1,515 - 0,06 X1+ 0,035 X2 + 0,115 X3 ; Y6 ( FFA )= - 0,655 + 0,011 X1 + 0,029 X2 + 0,032 X3 and Y7 ( DOBI) = 5,205 - 0,001 X1 + 0,01 X2 - 0,024 X3. Time depth steaming correct to braise small FFB, unrippe = 95 minute with score assess 7; Small FFB, mature = 95 minute with score assess 6; Small FFB over mature = 90 minute with score assess 6. Time depth steaming correct for big FFB, unrippe = 100 minute with wight assess 6; Big FFB mature = 80 minute with score assess 5 and for big FFB, over mature = 95 minute with score assess 6.
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Grove, Hugh, and Maclyn Clouse. "Corporate governance and market cap destruction: A predictive model." Corporate Ownership and Control 12, no. 2 (2015): 659–65. http://dx.doi.org/10.22495/cocv12i2c6p8.
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By focusing on specific board variables, both company performance and stock market performance have been investigated and a more comprehensive corporate governance approach has been advocated to help improve such performances (Larcker et al. 2007 and Grove et. al. 2011). In this paper, we extend such analyses by investigating a relationship between such corporate governance variables and market capitalization. We specifically integrate corporate governance variables into a predictive model for market capitalization (cap) destruction, using the example of the largest six (“Big 6”) gold mining companies publicly-listed in the U.S.
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Shi, Qiuxiang, Ning Cai, and Weiting Jiao. "Monitoring and Evaluating College Students' Mental Health Based on Big Data Analysis." American Journal of Health Behavior 46, no. 2 (2022): 164–76. http://dx.doi.org/10.5993/ajhb.46.2.6.
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Objectives: Our aim was to overcome the low evaluation accuracy of traditional random sampling methods for college students' mental health, and to use the values of big data of college students' social network behaviors in the prediction and evaluation of their mental health. Methods: We monitored and evaluated college students' mental health through big data analysis. After generating the samples of college students' social network behaviors, a mental health monitoring and evaluation model was established based on a support vector machine (SVM) and decision tree (DT). Then, the DT model was pruned, and input data of the model were optimized by genetic algorithm (GA). Results: The optimal parameter combination was derived for our model. The maximum number of iterations was 60; the smallest number of samples needed for reclassifying internal nodes was 6; the number of samples with the fewest leaf nodes was 30. The mental health scores of most students fell in the interval [0, 6] for unobvious symptoms of mental crisis. The binary classification results of several models were as follows. On anxiety, all models surpassed the accuracy of 60%, except the traditional SVM. The optimal model, ie, Model 5, achieved an accuracy of 86.7%. On depression, all models exceeded the accuracy of 60%, and the GA-optimized DT 5 realized an accuracy as high as 83.1%. On drooping spirit, the optimal model, ie, GA-optimized DT 5, reached an accuracy of 89.5%, which is comparable to that of the GA-optimized SVM 4. Conclusions: The characteristic dimensions extracted by GA are representative. The primary mental states of college students can be estimated quickly and accurately by our model with a low cost of data storage, through the feature analysis of social network behaviors.
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Adawiyah, Rodhiyatul, Retno Sayekti, and Abdi Mubarak Syam. "Analisis Kompetensi Literasi Informasi Siswa Madrasah Aliyah Negeri 2 Model Medan." TSAQOFAH 3, no. 6 (2023): 1219–36. http://dx.doi.org/10.58578/tsaqofah.v3i6.1803.
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This study is an analysis of the Information Literacy Competence of the Madrasah Aliyah Negeri 2 Model. Medan The purpose of study is to find out how the level information literacy competence of student in defeniting problems, in seeking information, in accessing, using, synthesizing and evaluating information. This study uses descriptive research with a quantitative approach. where the method of data collection researchers using observation, questionnaires, and documentation. The questionnaire was distributed via WhatsApp to 12 th grade student with 5 classes, namely Religion Science 1, Religion Science 2, Religion Science 3 and Language Science 1 and Languange Sciences 2 with a population of 158 students with the Random sample techique, namely throught random bounded by the slovin formula namely as many as 61 studemnt. Therefore, this questionnaire was made using indicatators from the big 6 model. Meanwhile, the data analysis technique used was using the percentage formula and data Proccesing with SPSS 24 Data Using Product Moment, for reability using Alpha Cronbach's. So the results obtained in the reliability test 0,897. The results of this study show that the information literacy competence of students of Madarasah Aliyah Negeri 2 Medan Model in defening tasks, information seeking strategis, using information, synthesizing, and evaluating is good for location and access. Total of all big 6 indicators obtained 3,03 (Positive).
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Shamsutdinova, T. M. "Digital Footprint as a Source of Big Data in Education." Open Education 28, no. 6 (2024): 13–21. https://doi.org/10.21686/10.21686/1818-4243-2024-6-13-21.
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The purpose of this study is to consider the prospects and problems of using big data in education.Materials and methods. The research methods include analysis, systematization and structuring of information in the field of big data application in education, as well as modeling and software implementation of a test model for processing big data by using the Apache Spark framework.Results. The article considers the key aspects of using big data in education. In particular, the sources of big data in the form of a digital footprint of learning, methods of analysis and areas of application of big data are considered. At the same time, the following sources of big data in education were identified: electronic educational environment and electronic library of the university; mobile applications for learning; university website; social networks and forums; feedback data, requests and surveys; personal data, including psychometric characteristics of students; data from scientific smart laboratories; data from video surveillance and access control systems; data on the career path and success of graduates. The use of big data in education includes the following points: personalization of e-learning, issuance of personalized recommendations; data analytics; assessment and feedback; predicting student success; monitoring the quality of education; creation of a learner model; development of curricula based on employer requests; development of new educational programs; emergence of new learning models; improvement of university management processes; improvement of the work of the admissions office; modernization of software and hardware teaching aids; optimization of the teaching staff. The following problems are considered as problems of using big data in education: protection of personal data, the need for new methodologies and technologies for analyzing big data, the need for significant modernization of the technical means available in the education system, the need for qualified personnel. The article also provides a test example of analyzing a log file (event log) of an e-course using Spark SQL big data processing technologies. The example shows the potential and practical applicability of big data processing technologies to the tasks of analyzing the digital footprint of learning.Conclusion. Big data in education can provide unique opportunities for analyzing and optimizing the educational process, helping to identify trends, predict student success and adapt educational programs to the individual needs of students. However, the use of big data in the educational sphere also implies certain risks and challenges related to ethical aspects, protection of personal data and the need for personnel modernization of the existing education system. For the successful integration of data analytics into educational practice, it is necessary to develop not only technical resources, but also the level of digital security and ethics in the use of personal data.
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Zhang, Zao, and Guang Ya Si. "C2 Model of Agent-Based Radar Network." Applied Mechanics and Materials 347-350 (August 2013): 1063–67. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1063.
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Radar network is a typical complex adaptive system (CAS). The command and control (C2) of radar network plays a big part in improving the quality of the acquired data and the anti-damage ability of radar network. On the basis of analyzingradar networkcombat process,a method based on Agent was proposed to establish command and control (C2) modelof radar network.The structure of the Agent was put forward and based on that, theadaptive C2 model was represented as a 6-tuple system.The simulation experimentwas made in the presumed background and the results showed that the modeling of adaptive command and control of radar network was implemented.
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Zulkarnain, Rizky. "Flash Estimates of Household Final Consumption Expenditure in East Java." East Java Economic Journal 6, no. 1 (2022): 60–85. http://dx.doi.org/10.53572/ejavec.v6i1.84.
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The purpose of this study is to construct a flash estimates model for household final consumption expenditure in East Java. There were 153 indicators that were used, covering Big Data and non Big Data indicators. Indicators from Big Data were the Google Trends indicators. The Google Trends categories were selected based on the highest correlation coefficient. While the non Big Data indicators were the total deposit, consumption credit, consumer lending rate, term deposit rate (1, 3, and 6 months), withdrawal (outflow), and Consumer Price Index (CPI). This study examines several models: ARIMA, ADL, Elastic Net, Support Vector Machine, Random Forest and Ensemble. The models were examined using various scenarios of out-of-sample and estimation periods (t+10 days, t+20 days and t+30 days). The prediction performance of models were evaluated using Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE). The evaluation results showed that the Elastic Net and the Ensemble were the best model for any scenarios. Both models had good performance since t+10 days.
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Iriani, T., and G. Wicaksono. "Application of The Big 6 Skills Model and Information Literacy Skills for Surveying Subject at Vocational School." IOP Conference Series: Earth and Environmental Science 747, no. 1 (2021): 012014. http://dx.doi.org/10.1088/1755-1315/747/1/012014.
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Guzha, Alphonce Chenjerayi, and T. B. Hardy. "Application of the Distributed Hydrological Model, TOPNET, to the Big Darby Creek Watershed, Ohio, USA." Water Resources Management 24, no. 5 (2009): 979–1003. http://dx.doi.org/10.1007/s11269-009-9482-6.
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Zhang, Xiaoyue, and Xuesong Cui. "Public security of network big data from the perspective of entrepreneurship." Journal of Computational Methods in Sciences and Engineering 25, no. 1 (2024): 102–14. https://doi.org/10.1177/14727978241299237.
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This study focuses on enhancing network big data public security governance through an entrepreneurial perspective. It begins by analyzing the current state of network big data public security governance and its theoretical foundations in entrepreneurship. The study then introduces an innovative network big data governance model tailored for urban grassroots society. Utilizing a meta-object mechanism, a social network big data public security governance scenario model is developed. The model’s performance is evaluated using gene structure representation and transfer learning methods, supported by real-world examples. Results indicate substantial regional disparities in entrepreneurship levels across Chinese provinces, with higher concentrations in the eastern region. Additionally, entrepreneurship positively influences the development of network big data, highlighting regional variations in its evolution. The spirit of innovation has a positive correlation with the development level of big data, and the fitting coefficient is 13.3. The average classification accuracy rate of gridded events in the study area is 85%, and the classification accuracy rate of four types of events is less than 80%. After the introduction of cross-region transfer learning, the classification effect of seven out of ten types of events has been improved, and the number of event classes with an accuracy less than 80% has been reduced from 4 to 1. The classification accuracy of “illegal buildings” increased by 6%, and the overall classification accuracy increased by 2.4%. The constructed model can improve the level of public safety governance. These conclusions provide references for the application of entrepreneurship in the complex system processing.
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Zhu, Lilu, Xiaolu Su, and Xianqing Tai. "A High-Dimensional Indexing Model for Multi-Source Remote Sensing Big Data." Remote Sensing 13, no. 7 (2021): 1314. http://dx.doi.org/10.3390/rs13071314.
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With continuous improvement of earth observation technology, source, and volume of remote sensing data are gradually enriched. It is critical to realize unified organization and to form data sharing service capabilities for massive remote sensing data effectively. We design a hierarchical multi-dimensional hybrid indexing model (HMDH), to address the problems in underlying organization and management, and improve query efficiency. Firstly, we establish remote sensing data grid as the smallest unit carrying and processing spatio-temporal information. We implement the construction of the HMDH in two steps, data classification based on fuzzy clustering algorithm, and classification optimization based on recursive neighborhood search algorithm. Then, we construct a hierarchical “cube” structure, filled with continuous space filling curves, to complete the coding of the HMDH. The HMDH reduces the amount of data to 6–17% and improves the accuracy to more than eight times than traditional grid model. Moreover, it can reduce the query time to 25% in some query scenarios than algorithms selected as the baseline in this paper. The HMDH model proposed can be used to solve the efficiency problems of fast and joint retrieval of remote sensing data. It extends the pattens of data sharing service and has a high application value.
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Setiyaningsih, Gunanti, and Amir Syamsudin. "Pengembangan Media Big Book Untuk Meningkatkan Kemampuan Literasi Anak Usia 5-6 Tahun." Scholaria: Jurnal Pendidikan dan Kebudayaan 9, no. 1 (2019): 19–28. http://dx.doi.org/10.24246/j.js.2019.v9.i1.p19-28.
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This study aimed to develop a big book media based on fieldwork, needs analysis, and the study of literature in kindergarten. This research and development is adopting the model of Borg & Gall with the stages consisting of: (1) research and information collecting, (2) planning, (3) developing the preliminary form, (4) preliminary filed testing, (5) main product revision, (6) main filed testing, (7) operational product revision, (8) operational field testing, and (9) final product revision. The subjects of the preliminary field test was one class, and those for field test were five classes. The subjects of the operational testing were eleven classes. The data was collected through interviews, validation product, observation, and questionnaires. The data analysis technique used was inter-rater reliability and Cohen’s Kappa with SPSS program version 22. The result of the research was the big book media and its guide book that consisted of introduction, basic competencies and indicators, steps of using the media, and daily activity plan. The result of material expert showed that the material was in a sufficient category. The result of media expert showed that the media was excellent. The result of preliminary field test, field test, and operational test were valid according to Aiken validity. The agreement of teachers in field test with Kappa coefficient value showed 50% or moderate. The agreement of teachers in operational test with Kappa coefficient value showed 51,78% or moderate. The literacy ability of children at operational test improved well.
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Puteri Rizanti, Rahmayanti, and Syarif Hidayatullah. "Pengaruh Model Membaca Interaktif melalui Media Big Book terhadap Kemampuan Mengidentifikasi Huruf Alfabet." Murhum : Jurnal Pendidikan Anak Usia Dini 5, no. 2 (2024): 268–81. https://doi.org/10.37985/murhum.v5i2.846.
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Penelitian ini menemukan masalah bahwa Anak-anak kesulitan mengidentifikasi huruf alfabet, termasuk mengenali bentuk, dan nama huruf dengan tepat serta menghubungkannya dengan kata-kata sehari-hari. Mereka juga sulit membedakan huruf serupa, seperti b dan d, serta mengingat urutan alfabet, yang dapat mempengaruhi kemampuan membaca. Rancangan penelitian mengaplikasikan pendekatan kuantitatif dengan jenis penelitian berbentuk quasi eksperiment. Populasi yang digunakan yaitu anak-anak yang berusia 5-6 tahun di taman kanak-kanak Jakarta Selatan dengan sampel sebanyak 34 anak di dua kelas. Kelas eksperimen menggunakan perlakuan dengan metode membaca interaktif melalui media big book (MMIMMB) dan kelas kontrol menggunakan perlakuan dengan pembacaan cerita langsung (PCL). Teknik analisis data yang digunakan berupa pengujian one way anova, pengujian homogenitas, pengujian normalitas, pengujian validitas dan analisis data. Temuan memperlihatkan bahwasanya penggunaan metode membaca interaktif melalui media big book terhadap kemampuan mengidentifikasi huruf alfabet terlihat bahwa kelas eksperimen (MMIMMB) memiliki perbedaan dengan kelas kontrol (PCL). Kesimpulannya, hal ini dapat dibuktikan dengan hasil uji hipotesis One Way Anova menghasilkan nilai signifikansi 0,000 < 0,05 yang berarti hipotesis diterima karena hasil signifikansi berbeda secara signifikan.
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Chang, Xin, Sudipto Dasgupta, and Gilles Hilary. "The Effect of Auditor Quality on Financing Decisions." Accounting Review 84, no. 4 (2009): 1085–117. http://dx.doi.org/10.2308/accr.2009.84.4.1085.
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ABSTRACT: We present a model and provide empirical evidence showing that auditor quality affects the financing decisions of companies, and that higher audit quality reduces the impact of market conditions on client financial decisions and capital structure. Consistent with our analytical predictions, we find that companies audited by Big 6 firms are more likely to issue equity as opposed to debt than are those audited by small audit firms. We also find that companies audited by Big 6 auditors are able to make larger equity issues than are those audited by small auditors, but the difference narrows when market conditions improve. Additional results show that the debt ratios of companies decrease less in response to favorable market conditions when auditor quality is high, at least over the medium term.
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Bezrukov, L. B., A. S. Kurlovich, B. K. Lubsandorzhiev, V. V. Sinev, V. P. Zavarzina, and V. P. Morgalyuk. "Geo-neutrino, Earth heat flux, Earth electricity." EPJ Web of Conferences 191 (2018): 03005. http://dx.doi.org/10.1051/epjconf/201819103005.
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We discussed the idea of big value of potassium abundance in the Earth. We showed that Borexino single event spectrum permit the potassium abundance up to 2% instead of the CNO neutrino flux contribution. Works [5], [6] introduce the idea that fast α particles are appeared in nuclear processes in solar core plasma. The reactions of these α particles with CNO nuclei can suppress the CNO neutrino flux. We demonstrated the connection between the existence of Earth’s electric field and the big value of 40K geo-neutrino flux because the both phenomena are the sequences from Hydride Earth model.