scholarly journals Implementing Integrity Assurance System for Big Data

2021 ◽  
Author(s):  
Fawaz Alyami ◽  
Saad Almutairi
Keyword(s):  
Big Data ◽  
Programming Languages ◽  
Statistical Data ◽  
Statistical Data Analysis ◽  
Data Validity ◽  
The Subject ◽  
Verification Process ◽  
Integrity Assurance ◽  
Real Test ◽  
Big Data Technology

Abstract With the rapid advancement of big data technology and statistical data analysis solutions, the computing of big data and its services has become the subject of research and popular applications. There are many problems related to data quality that lead to making wrong decisions in institutions and companies. Current research rarely discusses how to validate data effectively to ensure its quality Integrity is data validity. It is a task that is not an easy task that is usually undertaken in national statistical organizations and institutions. There is an urgent need to produce a general framework to verify the integrity of big data. This methodology has been devoted to proposing a model that works on data integrity, especially big data, and how to address the validation process. The data also includes the validity of the data fields and the validity of measuring the data and assessing the compatibility with the data cycle chain. The speed of the processing process and the accuracy of the verification process for the integrity of big data are considered. Based on using the latest technologies and programming languages, the research was based on the programming language in Python and real test data.

scholarly journals Analysis of changes in selected socio-demographic factors of family farms in Poland in 2010-2016

2019 ◽  
Vol 50 (1) ◽  
pp. 91-98
Author(s):  
Ewa Stawicka ◽  
Michał Dudek
Keyword(s):  
Statistical Data ◽  
Comparative Method ◽  
Economic Transformation ◽  
Agricultural Activities ◽  
Family Farms ◽  
Statistical Data Analysis ◽  
Level Of Education ◽  
The Subject ◽  
Socio Demographic Factors ◽  
The One

Agricultural holdings run by individual farmers, known as family farms, have long dominated the Polish agriculture. The purpose of the article was to characterize selected socio-demographic features of the agricultural population and the factor of transformations within family farms. In years 2010-2016, a decline in the number of family farms in Poland and individuals working there was observed, which was a continuation of the trend initiated in the period of economic transformation. The decrease in the number of family farms was accompanied by changes consisting of the improvement in the level of education, but also aging of those managing the farms, and the departure of family members from performing non-agricultural activities. On the one hand, these phenomena demonstrated the professionalization and specialization of some family farms, but they also demonstrated the increasing diversification of the economic activity of people in small entities that constitute the majority of the farms in Poland. The presented results were based on the CSO data and literature on the subject. The study used a comparative method and a statistical data analysis.

APPLICATION OF INNOVATIVE "BIG DATA" TECHNOLOGY IN VARIOUS BUSINESS SECTORS

2020 ◽  
Author(s):  
Vadim Alexandrovich Shiganov ◽  
◽  
Tatyana Germanovna Sakova ◽  
Keyword(s):  
Big Data ◽  
Statistical Data ◽  
The World ◽  
Business Sectors ◽  
Big Data Technology

The article discusses the main characteristics of modern Big data technology, as well as provides statistical data on the use of this technology in various fields of activity around the world.

scholarly journals Research on the Communication Transformation and Its Risk Prevention Method in the Background of Big Data

2021 ◽  
Vol 2136 (1) ◽  
pp. 012041
Author(s):  
Haoyang Zhu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Risk Prevention ◽  
The Core ◽  
Practical Development ◽  
The Subject ◽  
Prevention Method ◽  
Streaming Big Data ◽  
Big Data Technology

Abstract The communication based on big data technology is an organized communication form built with data and algorithms as the core, which has a very serious risk of liquefaction in the practical development. Therefore, based on the understanding of the transformation of communication ontology and the uncertainty of the subject under the background of big data technology, this paper studies and analyzes the risk prevention countermeasures based on streaming big data analysis according to the alienated risks it presents.

scholarly journals PENGEMBANGAN MODEL PENGENALAN AIR UNTUK ANAK USIA DINI

2018 ◽  
Vol 12 (2) ◽  
pp. 251-260
Author(s):  
Hernawan Hernawan ◽  
Widiastuti Widiastuti ◽  
Aprilia Intan Timur ◽  
Karisdha Pradityana
Keyword(s):  
Early Childhood ◽  
Research And Development ◽  
Statistical Data ◽  
T Test ◽  
Statistical Data Analysis ◽  
Before And After ◽  
Post Test ◽  
The Subject ◽  
Data Collection Technique ◽  
Paired T Test

The purpose of this research and development is to produce a model of water recognition for early childhood. The Subject in this research and develompent were students of Ikal I Kindergarten, At-Taubah Islamic Kindergarten, and Raudhatul Athfal Quraini Kindergarten aged 4-7. The Research method used is research and development with Barg and Gall Model. The data collection technique used is the result of expert validation and effectiveness test Through experiments with statistical data analysis paired t-test. The Result of the research and development of water reconition models for early childhood shows that, 1) the model of water recognition for early childhood significantly increasec that intial ability of children in swimming, 2) the result of validation test by swimming experts show that 25 items of model are feasible to be applied in the process of water recognition for early childhood, 3) the fffectiveness model of water recognition for early childhood is shown by the result of the childs pre-test and post-test  obtained t-value 21.67 is greater than t-table and sig (2-tailed)< 0.005 . This means that there is an increise between before and after the treatment. Keyword: Development, Water Introduction, Early Childhood Tujuan penelitian dan pengembangan ini adalah untuk menghasilkan model pengenalan air untuk anak usia dini. Subyek dalam penelitian dan pengembangan ini adalah siswa TK I ikal I, TK Islam At-Taubah dan Raudhatul Athfal-Qur’ani yang beumur 4-7 tahun. Metode penelitian yang digunakan adalah penelitian dan pengembangan dengan model Barg and Gall. Teknik pengumpulan data yang digunakan adalah hasil validasi pakar dan uji efektivitas melalui eksperimen dengan analisis data statistik paired t-test. Hasil penelitian dan pengembangan model pengenalan air untuk anak usia dini menunjukkan bahwa (1) model peneganalan air untuk anak usia dini signifikan meningkatkan kemampuan awal anak dalam berenang, (2) hasil uji validasi oleh ahli renang menunjukan bahwa 25 item model layak untuk diterapkan dalam proses pengenalan air untuk anak usia dini, (3) keefektifan model pengenalan air ditunjukkan dengan hasil pre-test dan post-test anak diperoleh hasil t-hitung 21.67 lebih besar dari t-tabel, serta Sig (2-tailed) < 0.05 (α). Artinya terdapat peningkatan antara sebelum dan sesudah adanya treatment. Kata kunci: Pengembangan, Pengenalan Air, Anak Usia Dini

scholarly journals Pengaruh Ice Breaking Terhadap Motivasi Belajar Siswa Pada Mata Pelajaran IPA di Kelas III Sekolah Dasar Islam Terpadu Nuurusshiddiiq Kedawung Cirebon

2020 ◽  
Vol 1 (1) ◽  
pp. 84
Author(s):  
Tiyara Khoerunisa ◽  
Amirudin Amirudin
Keyword(s):  
Student Learning ◽  
Statistical Data ◽  
Strong Relationship ◽  
Natural Sciences ◽  
Learning Motivation ◽  
Class Iii ◽  
Statistical Data Analysis ◽  
The Subject ◽  
Correlational Method ◽  
Very High

This study refers to the lack of student learning motivation in science subjects. This is due to the lack of interesting teacher innovations in learning, so students easily feel bored while learning. Ice breaking is a simple, lightweight and concise activity that functions to change the composition of freezing, rigidity, boredom or drowsiness in learning so that it can build an atmosphere of learning that is full of enthusiasm and fun. This research uses a quantitative approach with a correlational method. The population used is class III SDIT Nuurusshiddiiq Kedawung Cirebon, which amounted to 23 students. Sampling is done by population research techniques which are used if the subject is less than 100. Statistical data analysis used is the Person Product Moment Correlation Test (PPM). The conclusions of this study are: 1) The application of Ice Breaking in natural science subjects obtained 90% the results of the questionnaire recapitulation means that the application of Ice Breaking is included in the excellent category. 2) Student learning motivation in science subjects in Class III SDIT Nuurusshiddiiq Kedawung Cirebon obtained 86% (very high). In this study, there is a significant influence of the application of Ice Breaking in Natural Sciences as indicated by the results of the correlation analysis of 0.65% with the level of strong relationship and hypothesis testing obtained by tcount of 3, while ttable () so as to reject Ho and Ha accepted. Keywords: Effect of Ice Breakin; Student Learning Motivation; Sains Abstrak Penelitian ini mengacu pada kurangnya motivasi belajar siswa pada mata pelajaran IPA. Hal ini disebabkan guru kurang membarikan inovasi yang menarik dalam pembelajaran, sehingga siswa mudah merasa bosan saat belajar. Ice breaking merupakan kegiatan sederhana, ringan dan ringkas yang berfungsi untuk mengubah susunan kebekuan, kekakuan, rasa bosan atau mengantuk dalam pembelajaran sehingga bisa membangun suasana belajar yang penuh semangat dan menyenangkan. Penelitian ini menggunakan pendekatan kuantitatif dengan metode korelasional. Populasi yang digunakan yaitu kelas III SDIT Nuurusshiddiiq Kedawung Cirebon yang berjumlah 23 siswa. Pengambilan sampel dilakukan dengan teknik penelitian populasi merupakan teknik yang digunakan bila subjeknya kurang dari 100. Analisis data statistik yang digunakan yakni uji korelasi Person Product Moment (PPM).Kesimpulan dari penelitian ini adalah: 1) Penerapan Ice Breaking pada mata pelajaran IPA diperoleh 90% dari hasil rekapitulasi angket artinya penerapan Ice Breaking termasuk dalam kategori sangat baik. 2) Motivasi belajar siswa pada mata pelajaran IPA di Kelas III SDIT Nuurusshiddiiq Kedawung Cirebon diperoleh 86% (sangat tinggi). Dalam penelitian ini, terdapat pengaruh yang signifikan dari penerapan Ice Breaking pada mata pelajaran IPA yang ditunjukkan dengan hasil analisis korelasi sebesar 0,65% dengan tingkat hubungan kuat dan uji hipotesis diperoleh harga thitung sebesar 3, sedangkan ttabel () sehingga dengan demikian tolak Ho dan Ha diterima. Kata kunci : Pengaruh Ice Breaking; Motivasi Belajar Siswa; IPA    

scholarly journals Application of Association Rule Data Mining in Statistical Analysis of College Students' Mental Health

CONVERTER ◽  
2021 ◽  
pp. 716-724
Author(s):  
Hongrui Zhang
Keyword(s):  
Mental Health ◽  
College Students ◽  
Data Mining ◽  
Big Data ◽  
Data Analysis ◽  
Statistical Analysis ◽  
Statistical Data ◽  
Knowledge Map ◽  
Statistical Indicators ◽  
Big Data Technology

Strengthening the application of big data technology in data analysis can effectively improve the service capability and level of relevant statistics, and provide comprehensive and reliable information support for macro decision-making and trend analysis. This paper comprehensively reviews the research status of big data technology in the field of college students' mental health at home and abroad. Combining with the characteristics of college students' mental health statistical data and the weaknesses in statistical analysis, the feasibility of using knowledge mapping technology is demonstrated. On this basis, the blood relationship graph and influence analysis among the statistical indicators of college students' mental health were constructed through the knowledge map. The application of the knowledge map of college students' mental health statistical indicators in statistical data analysis, statistical indicator identification and statistical data quality management is proposed. Specifically, based on the concept of big data, we can establish a decision analysis platform for college students' mental health. Based on the big data technology, the data mining and analysis ability can be enhanced. In addition, it can change the traditional thinking of college students' mental health statistics and strengthen the construction of statistical team.

scholarly journals Pengaruh Model Pembelajaran Pakem Terhadap Prestasi Belajar Siswa SMPN 4 Batukliang

2020 ◽  
Vol 1 (2) ◽  
pp. 09
Author(s):  
Hasanah Hasanah
Keyword(s):  
Data Analysis ◽  
Subject Matter ◽  
Statistical Data ◽  
Linear Equations ◽  
Class Action ◽  
Learning Models ◽  
Statistical Data Analysis ◽  
The Subject ◽  
Level Of Significance ◽  
Achievements In Mathematics

Abstract:  The purpose of this study was to determine the effect of pakem learning models on students' learning achievements in mathematics subjects, the subject matter of linear equations one variable in grade VII SMPN 4 Batukliang.  This research uses a quantitative approach. The type of research used is Class Action Research (PTK). The population in this study was 190 students of SMPN 4 Batukliang. The instruments used in this research are about tests, observations and documentation. The analysis used is statistical data analysis with average different test using t-test. The results of the study obtained a score of t_ (calculate ) of 7.59, while the value of t_tabel of 2,000 with dk = 59 and the level of significance of 0.05 this indicates that Ho was rejected and Ha was accepted so that it can be concluded that there is an influence of PAKEM learning model on student learning achievement in mathematics subjects linear equations one variable in grade VII SMPN 4 BatukliangAbstrak: Tujuan penelitian ini adalah untuk mengetahui pengaruh model pembelajaran PAKEM terhadap prestasi belajar siswa pada mata pelajaran matematika materi pokok persamaan linier satu variable di kelas VII SMPN 4 Batukliang.  Penelitian  ini  menggunakan pendekatan kuantitatif. Adapun jenis penelitian yang digunakan adalah Penelitian Tindakan Kelas (PTK). Adapun populasi dalam  penelitian  ini  yaitu  siswa SMPN 4 Batukliang sebanyak 190 siswa. Adapun instrumen yang digunakan dalam penelitian ini adalah soal tes, observasi dan dokumentasi. Analisis yang digunakan adalah analisis data statistik dengan uji beda rata-rata menggunakan uji- t. Hasil penelitian diperoleh nilai sebesar 7,59, sedangkan nilai  sebesar 2,000 dengan dk=59 dan taraf signifikansi 0,05 hal ini menunjukkan bahwa Ho ditolak dan Ha diterima sehingga dapat disimpulkan ada pengaruh model pembelajaran PAKEM terhadap prestasi belajar siswa pada mata pelajaran matematika materi pokok persamaan linier satu variabel di kelas VII SMPN 4 Batukliang

Knowledge-Based Decision Support for Diagnosis and Therapy: On the Multiple Usability of Patient Data

1989 ◽  
Vol 28 (02) ◽  
pp. 69-77 ◽  
Author(s):  
R. Haux
Keyword(s):  
Expert Systems ◽  
Statistical Data ◽  
Patient Data ◽  
Attribute Selection ◽  
Patient Specific ◽  
Statistical Data Analysis ◽  
Inference Mechanism ◽  
Diagnosis And Therapy ◽  
Knowledge Based ◽  
Clinical Registries

Abstract:Expert systems in medicine are frequently restricted to assisting the physician to derive a patient-specific diagnosis and therapy proposal. In many cases, however, there is a clinical need to use these patient data for other purposes as well. The intention of this paper is to show how and to what extent patient data in expert systems can additionally be used to create clinical registries and for statistical data analysis. At first, the pitfalls of goal-oriented mechanisms for the multiple usability of data are shown by means of an example. Then a data acquisition and inference mechanism is proposed, which includes a procedure for controlling selection bias, the so-called knowledge-based attribute selection. The functional view and the architectural view of expert systems suitable for the multiple usability of patient data is outlined in general and then by means of an application example. Finally, the ideas presented are discussed and compared with related approaches.

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