scholarly journals Implementasi Middleware Pada Evomo Dengan Metode Web Service Restfull Dan Pengujian CI/CD, Coverage Serta Simulasi Protokol Grafana

2021 ◽  
Vol 15 (2) ◽  
pp. 110-121
Author(s):  
Syafrial Fachri Pane ◽  
Amri Yanuar ◽  
Alit Fajar Kurniawan ◽  
Maulyanda Az
Keyword(s):  
Data Analysis ◽  
Web Service ◽  
Research Methodology ◽  
Monitoring Data ◽  
Data Monitoring ◽  
Graphical Form ◽  
Program Code ◽  
Graphic Data ◽  
Analysis Process ◽  
System Program

ABSTRAK Penelitian ini membantu dalam melakukan proses analisis data monitoring dalam bentuk grafik, memanfaatkan CI/CD pipeline dalam melakukan implementasi CI/CD dapat memberikan kenyamanan dalam melakukan develop dan mengurangi bug, dari hasil implementasi CI/CD didapatkan hasil statements 93,33%, branch 100%, functions 87,88%, lines 94,92%. Grafik data disiapkan oleh grafana dalam bentuk script iframe diterapkan pada code program sistem. Penelitian ini menggunakan metodologi penelitian yang dapat menyatakan bahwa sistem yang dibangun dapat berfungsi dengan baik. Jadi, penelitian ini mampu menjawab permasalahan yang terjadi pada sistem Evomo. ABSTRACT This research helps in carrying out the monitoring data analysis process in graphical form, utilizing the CI/CD pipeline in implementing CI/CD can provide convenience in developing and reducing bugs. functions 87.88%, lines 94.92%, Graphic data prepared by grafana in the form of iframe script applied to the system program code. This study uses a research methodology that can state that the system built can function properly. So, this research is able to answer the problems that occur in the Evomo system.

scholarly journals Collaborative Metaphor Analysis Research Methodology: A Retrospective Self-Study

2021 ◽  
Author(s):  
Donita Shaw ◽  
Sue Parsons ◽  
Sheri Vasinda
Keyword(s):  
Data Analysis ◽  
Research Methodology ◽  
Refining Process ◽  
Metaphor Analysis ◽  
Analysis Process ◽  
Methodological Rigor ◽  
Self Study

The purpose of this manuscript is to explicate the metaphor analysis process we employed in a recent study to make this methodology more accessible to future researchers. To explain and demystify metaphor analysis as a method, we describe in detail the three rounds of data analysis leading to findings. We seek to make transparent the messiness and thoughtfulness of the refining process as well as the methodological rigor and trustworthiness. In the discussion that follows, researchers share experiences with and resulting insights into the methodology in hopes of providing future researchers with support for their own metaphor analysis work.

Becoming Rhizomatic: Researching Flowing in/between Striated and Smooth Space

2019 ◽  
Vol 13 (3) ◽  
pp. 355-376
Author(s):  
Ester A. Betrián Villas ◽  
Gloria Jové Monclus ◽  
Charly Ryan
Keyword(s):  
Data Analysis ◽  
Educational Change ◽  
Research Methodology ◽  
Deleuze And Guattari ◽  
Smooth Space

Exploring long-term educational change, we investigate our re/construction of research methodology as we moved from a positivist framework to working with ideas drawn from Deleuze and Guattari. We reveal our becoming rhizomatic in data analysis in the metamodelling of the richness flowing horizontally through our practices. We tell of our struggles to escape hierarchical thinking and relations researching between the smooth and striated. A space of interactions, conversations and writings created relations between polyphonic voices, leading us to an emergent methodology. Our struggle against hierarchies in data analysis yielded rich educational possibilities for becoming that Deleuzo-Guattarian thinking offers us.

Architecture of a distributed system for processing heterogeneous data from social networks

2020 ◽  
Vol 4 ◽  
pp. 97-100
Author(s):  
A.P. Pronichev ◽  
Keyword(s):  
Social Networks ◽  
Data Analysis ◽  
Distributed System ◽  
Heterogeneous Data ◽  
Analysis Process ◽  
Support Costs

The article discusses the architecture of a system for collecting and analyzing heterogeneous data from social networks. This architecture is a distributed system of subsystem modules, each of which is responsible for a separate task. The system also allows you to use external systems for data analysis, providing the necessary interface abstraction for connection. This allows for more flexible customization of the data analysis process and reduces development, implementation and support costs.

Deformation Monitoring and Data Analysis for Metro Construction with Mining Method in Dalian

2013 ◽  
Vol 353-356 ◽  
pp. 1604-1608
Author(s):  
Guang Bin Bai ◽  
Jie Zhao ◽  
Li Sheng Liu
Keyword(s):  
Data Analysis ◽  
Construction Method ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Ground Subsidence ◽  
Tunnel Construction ◽  
Mining Method ◽  
Construction Process ◽  
Subway Tunnel ◽  
The Future

Based on a subway tunnel construction, the construction method was introduced. The ground subsidence, crown settlement and convergence displacement caused by the cut tunnel are monitored during the tunneling construction and the results of monitoring data for them are analyzed. This technology wells to guide the tunnel-entering construction effectively and avoid the tunnel-entering construction process prone to landslides, thus ensuring the safety of the tunnel construction and will guiding the future construction.

scholarly journals CLUSTERING TECHNIQUE AND VOCABULARY MASTERY TOWARDS STUDENTS’ WRITING SKILL IN RECOUNT TEXT

2021 ◽  
Vol 4 (1) ◽  
pp. 10
Author(s):  
Nurfitria Ambarwati ◽  
Gustaman Saragih
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Research Methodology ◽  
Random Sampling ◽  
Interactive Effect ◽  
Writing Skills ◽  
Sampling Technique ◽  
Clustering Technique ◽  
Writing Skill ◽  
Vocational High Schools

<p>Abstract: The purpose of this research at finding out empirical evidence concerning whether clustering technique and vocabulary mastery are effective or not for the student to write recount text. The research methodology used is an experiment. The sampling technique uses random sampling at Private Vocational High Schools in East Jakarta. Data collection is obtained by testing their vocabulary mastery and writing skills. Data analysis to test hypothesis is two ways ANOVA. The research results conclude 1) There is a significant effect of the clustering technique on students’ writing skills with the value (Sig) being 0.000 &lt; 0.05 and F0 = 36.740. 2) A significant effect of vocabulary mastery on students’ writing skills with the value (Sig) is 0.000 &lt; 0.05 and F0 = 72.161. 3) There is a significant interactive effect of clustering technique and vocabulary mastery on students’ writing skills. With the value (sig) is 0.018 &lt; 0.05 and F0 = 5.921. Then all of H0 is rejected, and H1 is accepted. So, there is the effect of clustering technique and vocabulary mastery on students’ writing skills in recount text.<br />Keywords: Clustering Technique, Vocabulary Mastery, Writing Skill, Recount Text</p>

scholarly journals Hubungan Budaya Sekolah Dan Keteladanan Guru Dengan Karakter Siswa Sekolah Dasar Negeri 050772 Kecamatan Pangkalan Susu Kabupaten Langkat

2021 ◽  
Vol 4 (1) ◽  
pp. 19-26
Author(s):  
Khairani Nasution
Keyword(s):  
Data Analysis ◽  
School Culture ◽  
Primary School ◽  
Positive Relation ◽  
Data Collection Tool ◽  
Know How ◽  
Analysis Process ◽  
Analysis Technique ◽  
Sample Data ◽  
Data Analysis Result

This research aims to know how the relation of primary School 050772 Pangkalan Susu. The sample of this research 30 student where 21% taken  of 141 students. This research uses data collection tool in the form of Likert scale. Questioner is compiled based on variabel and tested to  respondent that is not research sample. Data analysis process is conducted by using quantitative approach through three steps, they are: 1. Describing research variabel data. 2. Testing requirements analysis. 3. Testing hypotesis to reveal the relation the relation beetween research variables using correlation analysis technique. Based on data analysis result and testing process, then the conclusion is (1) the school culture has positive relation with student’s character of primary school 050772 Pangkalan Susu. This case is proved that the correlation r (0,504) > r table (0,3061) while the significance is 0,004 < 0,05; (2) the teacher’s example has positive relation with student’s character of primary School 050772 Pangkalan Susu where correlation coeficient r (0,603) > r table (0,3061) with significncy 0,006, it is fewer than 0,05; (3) School Culture and teacher’s example has positive ration with student’s character of primary school 050772 Pangkalan Susu where correlation coefisiency r (0,662) > r table (0,3061), testing result F shows that F count (10,506) > F table (3,35) while significancy < 0,05 that is 0,000. Based on the research above, it can be stated that student’s character can be formed through school culture and teacher ’s example.

scholarly journals Indonesian traveler study: analyze the role of the big five personalities on hard adventure traveler type

2020 ◽  
Vol 2 (2) ◽  
pp. 83-94
Author(s):  
Lusy Asa Akhrani ◽  
◽  
Chintya Fatima Dewi ◽  
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Big Five ◽  
Research Methodology ◽  
Sampling Technique ◽  
Personality Types ◽  
Big Five Personality ◽  
Tourist Attraction ◽  
Regression Techniques

Purpose: This study aims to determine the role of big five personalities simultaneously and partially towards the tendency of hard adventure travelers. Research methodology: This study will also look at the five traits found in the big five personalities which tend to play a role in the hard adventure traveler. This research is a replication study of Kristin Scott and John C. Mowen with a quantitative approach involving 1,558 subjects with a purposive sampling technique. Big five personality was measured using the big five infentory scale, while the hard adventure type would be measured using a scale from Scott & Mowen. Data analysis of this study using multiple regression techniques. Results: The results showed that there is a role of big five personalities that is simultaneous towards traveler's hard adventure type of 7,6%, whereas partially openness, extraversion, and neuroticism trait had a role towards the type of hard adventure, where openness trait had the biggest role towards hard adventure type. Limitations: Based on the magnitude of the role generated in this study, there are still other factors that can influence traveler's decision making to choose the traveling type, so that these other factors are expected to explore more. Contribution: This research can be a reference in the development of tourist attraction marketing by taking into account visitors' personality types.

scholarly journals Preprocessing Profiling Model for Visual Analytics

2020 ◽  
Author(s):  
Alessandra Maciel Paz Milani ◽  
Fernando V. Paulovich ◽  
Isabel Harb Manssour
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Visual Analytics ◽  
Data Preprocessing ◽  
Interview Study ◽  
Raw Data ◽  
Important Stage ◽  
Analysis Process

Analyzing and managing raw data are still a challenging part of the data analysis process, mainly regarding data preprocessing. Although we can find studies proposing design implications or recommendations for visualization solutions in the data analysis scope, they do not focus on challenges during the preprocessing phase. Likewise, the current Visual Analytics processes do not consider preprocessing an equally important stage in their process. Thus, with this study, we aim to contribute to the discussion of how we can use and combine methods of visualization and data mining to assist data analysts during the preprocessing activities. To achieve that, we introduce the Preprocessing Profiling Model for Visual Analytics, which contemplates a set of features to inspire the implementation of new solutions. In turn, these features were designed considering a list of insights we obtained during an interview study with thirteen data analysts. Our contributions can be summarized as offering resources to promote a shift to a visual preprocessing.

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