Generalized Bags, Bag Relations, and Applications to Data Analysis and Decision Making

2009 ◽  
pp. 37-54 ◽  
Author(s):  
Sadaaki Miyamoto
Keyword(s):  
Decision Making ◽  
Data Analysis

Medical Diagnosis from a Clinician’s Point of View

1978 ◽  
Vol 17 (01) ◽  
pp. 28-35
Author(s):  
F. T. De Dombal
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Computer Science ◽  
Medical Diagnosis ◽  
Information Science ◽  
Point Of View ◽  
Joint Research ◽  
The World

This paper discusses medical diagnosis from the clinicians point of view. The aim of the paper is to identify areas where computer science and information science may be of help to the practising clinician. Collection of data, analysis, and decision-making are discussed in turn. Finally, some specific recommendations are made for further joint research on the basis of experience around the world to date.

Decision Making To Assess The Maturity Dimensions of MSME Using A Data Analysis Approach

2021 ◽  
Author(s):  
Lena Magdalena ◽  
R. Rizal Isnanto ◽  
Adi Wibowo ◽  
Budi Warsito
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Analysis Approach

Drilling Data Quality Management: Case Study With a Laboratory Scale Drilling Rig

2018 ◽  
Author(s):  
Suranga C. H. Geekiyanage ◽  
Dan Sui ◽  
Bernt S. Aadnoy
Keyword(s):  
Decision Making ◽  
Quality Improvement ◽  
Control System ◽  
Data Analysis ◽  
Quality Management ◽  
Data Quality ◽  
Incomplete Data ◽  
Laboratory Scale ◽  
Data Quality Management ◽  
Drilling Rig

Drilling industry operations heavily depend on digital information. Data analysis is a process of acquiring, transforming, interpreting, modelling, displaying and storing data with an aim of extracting useful information, so that the decision-making, actions executing, events detecting and incident managing of a system can be handled in an efficient and certain manner. This paper aims to provide an approach to understand, cleanse, improve and interpret the post-well or realtime data to preserve or enhance data features, like accuracy, consistency, reliability and validity. Data quality management is a process with three major phases. Phase I is an evaluation of pre-data quality to identify data issues such as missing or incomplete data, non-standard or invalid data and redundant data etc. Phase II is an implementation of different data quality managing practices such as filtering, data assimilation, and data reconciliation to improve data accuracy and discover useful information. The third and final phase is a post-data quality evaluation, which is conducted to assure data quality and enhance the system performance. In this study, a laboratory-scale drilling rig with a control system capable of drilling is utilized for data acquisition and quality improvement. Safe and efficient performance of such control system heavily relies on quality of the data obtained while drilling and its sufficient availability. Pump pressure, top-drive rotational speed, weight on bit, drill string torque and bit depth are available measurements. The data analysis is challenged by issues such as corruption of data due to noises, time delays, missing or incomplete data and external disturbances. In order to solve such issues, different data quality improvement practices are applied for the testing. These techniques help the intelligent system to achieve better decision-making and quicker fault detection. The study from the laboratory-scale drilling rig clearly demonstrates the need for a proper data quality management process and clear understanding of signal processing methods to carry out an intelligent digitalization in oil and gas industry.

scholarly journals A framework for data-driven design in a product innovation process: data analysis and visualisation for model-based decision making

2020 ◽  
Vol 24 (1) ◽  
pp. 68
Author(s):  
Rob Vingerhoeds ◽  
Claude Baron ◽  
Alessandro Bertoni ◽  
Xin Yi ◽  
Phillippe Esteban
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Product Innovation ◽  
Innovation Process ◽  
Data Driven ◽  
Process Data ◽  
Model Based

scholarly journals Pengaruh Budaya Dan Religiusitas Terhadap Keputusan Akuntan

2019 ◽  
Vol 1 (2) ◽  
pp. 627-645
Author(s):  
Nisa Umahmudah A ◽  
Sany Dwita ◽  
Nayang Helma Yunita
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Accounting Students ◽  
Experiment Data ◽  
Quasi Experiment

This study aims to test empirically about: 1) The influence of culture on the accountant's decision, and 2) the influence of religiousity effect on the accountant's decision. This type of research belongs to a quasi experiment. Data in this study were collected by using questionnaires on 200 accounting students from 2 universities in Padang City and 1 university in Madura. Data analysis was done by using two-way ANOVA. The results of this study conclude that culture affects an accountant in decision making, while religiousity does not affect the accountant's decision. This study focuses on Javanese culture and Minangkabau culture with a construal of self approach in assessing accountant decisions and using accounting students as a subject to examine cultural and religiousity influences on professional accountant decisions.

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 ANALISIS IKLIM KOMUNIKASI PADA PEGAWAI DINAS KEARSIPAN DAN PERPUSTAKAAN KABUPATEN KUNINGAN

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Aji Muhamad Jaelani ◽  
Ririn Risnawati
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Organizational Communication ◽  
Communication Climate ◽  
Participatory Decision Making ◽  
Analysis Technique ◽  
Class Level ◽  
Quantitative Descriptive ◽  
Descriptive Survey ◽  
Descriptive Method

ABSTRACTOrganizational communication climate is one thing that really needs to be considered in an organization because after all the organizational communication climate has an influence on the sustainability of an organization, in order to make an organization that is in accordance with what is expected and aspired by the organization and includes members in it. Therefore, the researcher took the title "Analysis of Communication Climate in Employees (Quantitative Descriptive Survey on Employees of the Archives and Library Office of Kuningan Regency)". This research was conducted using a quantitative descriptive method. The population in this study were employees of the Department of Archives and Libraries of Kuningan Regency, amounting to 42 people. Data was collected by distributing questionnaires, interviews and documentation. The data analysis technique used is descriptive quantitative. The results showed that the overall communication climate went well, as seen from the 16 items dominated by the number 4 scale with 11 items and the number 3 scale with 5 items. Then it can be seen from the interval class test which is divided into 5 interval classes in the "good" class because there are 36 (85.7%) who are in the interval class range from 55 to 67 who fall into the "good" class and are one class level that is the highest is "very good". The research also shows that there is a good level of closeness between employees. The results of other studies were found on the values of participatory decision making which were seen as lacking. This is because all employees are not involved in decision making, especially when it comes to the top.Keywords: Communication Climate, Organization, Survey, Quantitative Descriptive  ABSTRAKIklim komunikasi organisasi merupakan salah satu hal yang sangat perlu diperhatikan pada sebuah organisasi karena bagaimanapun juga iklim komunikasi organisasi memberikan pengaruh terhadap keberlangsungan sebuah organisasi, guna menjadikan suatu organisasi yang sesuai apa yang diharapkan dan dicita-citakan oleh organisasi dan termasuk anggota di dalamnya. Oleh karena itu peneliti mengambil judul “Analisis Iklim Komunikasi Pada Pegawai (Survey Deskriptif Kuantitatif Pada Pegawai Dinas Kearsipan Dan Perpustakaan Kabupaten Kuningan)”. Penelitian yang dilaksanakan ini menggunakan metode deskriptif kuantitatif. Populasi dalam penelitian ini adalah pegawai Dinas Kearsipan dan Perpustakan Kabupaten Kuningan yang berjumlah 42 orang. Pengumpulan data dilakukan dari penyebaran kuesioner, wawancara dan dokumentasi. Teknik analisis data yang digunakan adalah deskriptif kuantitatif. Hasil penelitian menunjukan bahwa iklim komunikasi secara keseluruhan berjalan dengan baik terlihat dari 16 item didominasi oleh skala angka 4 sebanyak 11 item dan skala angka 3 sebanyak 5 item. Kemudian terlihat dari uji kelas interval yang dibagi kedalam 5 kelas interval berada pada kelas “baik” karena terdapat 36 (85,7%) yang berada pada range kelas interval dari 55 sampai 67 yang masuk kedalam kelas “baik” dan berada satu tinggkat kelas yang paling tinggi yaitu “sangat baik”. Dari penelitian juga memperlihatkan kedekatan pada tingkat baik yang terjalin di antara para pegawai. Hasil penelitian lainnya ditemukan pada nilai-nilai pembuatan keputusan partisipatif yang dilihat kurang. Hal itu dikarenakan tidak dilibatkannya seluruh pegawai dalam pengambilan keputusan terutama saat menyangkut pada bagian atas.Kata Kunci: Iklim Komunikasi, Organisasi, Survey, Deskriptif Kuantitatif

scholarly journals Perancangan Aplikasi Knowledge Management di Instansi Kearsipan Berbasis Model Choo-Sense Making

2021 ◽  
Vol 8 (1) ◽  
pp. 15
Author(s):  
Eko Nur Hermansyah ◽  
Danny Manongga ◽  
Ade Iriani
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Data Analysis ◽  
Storage System ◽  
Knowledge Dissemination ◽  
Management Model ◽  
Sense Making ◽  
Making Sense ◽  
Data Collecting ◽  
Space Result

<p align="center"><strong>Abstrak</strong></p><p>Intansi Kearsipan memiliki berbagai pengetahuan yang digunakan untuk pengelolaan arsip yang dimilikinya, <em>knowledge management</em> digunakan untuk mengumpulkan, mengelola, dan menyebarluaskan pengetahuan yang dimiliki, sehingga pengetahuan yang dimiliki oleh instansi kearsipan dapat digunakan untuk kemajuan intansi dan tidak hilang. Penelitian ini dilakukan di Dinas Perpustakaan dan Kearsipan Kota Salatiga. Pengumpulan data dilakukan dengan wawancara petugas kearsipan untuk mengumpulkan data tentang pengetahuan yang dimiliki dan cara penyimpanan serta penyebarluasan yang diterapkan di intansi kearsipan. Analisis data dilakukan dengan mengelompokkan pengetahuan yang dimiliki oleh intansi kearsipan sesuai dengan model <em>Choo-Sense Making</em>, untuk kemudian diterapkan di <em>Confluence</em> sesuai dengan hasil dari pengolahan data dengan model <em>Choo-Sense Making</em>. Hasil dari penelitian ini untuk model <em>Choo-Sense Making</em> pengetahuan di intansi kearsipan dibagi atas 3 tahap yaitu <em>Sense Making</em> yang berisi tentang pengetahuan yang berasal dari luar intansi dibuatkan wadah sebagai media diskusi, <em>chatting,</em> <em>Knowledge Creating</em> berisi tentang pengetahuan-pengetahuan yang dimiliki intansi kearsipan yang telah di dokumentasikan diubah dalam betuk <em>softfile</em> kemudian diunggah kedalam <em>space</em> untuk memudahkan penyimpanan serta penyebarluasan pengetahuan yang dimiliki, dan <em>Decision Making</em> yang berisi tentang jadwal-jadwal intansi dan evaluasi yang dilakukan intansi kearsipan. Hasil dari model <em>Choo-Sense Making</em> dimasukan ke <em>Confluence</em>, memperoleh hasil <em>space</em> yang dapat memudahkan menyimpan pengetahuan yang dimiliki berupa file aplikasi, <em>softfile</em>, serta memudahkan dalam pencarian kembali dan penyerluasan pengetahuan yang dimiliki. Penerapan <em>Choo-Sense Making</em> selain untuk mempermudah penyimpanan dan penyerbaluasan serta komunikasi, dapat mengurangi resiko kehilangan pengetahuan yang dimiliki oleh intansi kearsipan.<strong> </strong></p><p><strong>Kata kunci<em>: </em></strong><em>Knowledge Management, Model Choo-Sense Making, Confluence</em>, Perpustakaan dan Arsip</p><p align="center"><em>Abstract</em></p><p><em>Archival Agency has several knowledge that are used to manage the owned archive, knowledge management is used to collect, manage and disseminate the owned knowledge so that the knowledge that the archival agency has can be used for the agency progress and it will not missing. The research is conducted in Dinas Perpustakaan dan Kearsipan Kota Salatiga. Data collecting is conducted by interviewing the archival officer to gather data related to its knowledge, the storage system and dissemination applied in this archival agency. Data analysis is conducted by categorizing the agency knowledge according to Choo-Sense Making model and then it is applied in Confluence in accordance with the result of the data analysis from the Choo-Sense Making model. The result of this research, for Choo-Sense Making model, the knowledge in the archival agency is divided into 3 steps; Sense Making, Knowledge Creating and Decision Making. Sense Making contains knowledge coming from the outside of the agency that has forum as discussion media, chatting. Knowledge Creating contains knowledge that owned by the archival agency that has been documented and changed in the form of softfile then uploaded into space to ease the storage and the knowledge dissemination. Decision Making is about agency schedules and evaluation toward the activity in this archival agency. The result of Choo-Sense Making Model is input into Confluence, get space result that ease to save the knowledge in the form of application file, softfile, and ease to search and disseminate the owned knowledge. The application of Choo-Sense Making eases the storage system, dissemination, and communication. It also reduces the risk of losing knowledge owned by the archival agency.</em></p><p><em> </em></p><p><strong>Keywords</strong>: <em>Knowledge Management, Model Choo-Sense Making, Confluence, Library and Archive</em></p>

Sign in / Sign up

Export Citation Format

Share Document