Questionnaire for Experts Review Individual Result
2. Dr. Yohannes Kurniawan
1. Different levels of abstraction – Does the Cognitive-based capturing knowledge for BI analysis supports navigating from the general levels of reasoning to the concrete one and vice versa?
a. Yes b. No c. Neutral
2. Identifying participants in the domain – In capturing the knowledge with cognitive mappingtechniques with many participants, do the technique help identify participants?
a. Yes b. No c. Neutral
3. Capturing, understand, and registering terminology – Would the capturing knowledge for BI help understand the different terms?
a. Yes b. No c. Neutral
4. Domain Analysis – Does the capturing knowledge technique for BI analysis support the modelling and reasoning about the social relationship involved?
a. Yes b. No c. Neutral
5. Finding Requirements – Does the cognitive-based capturing knowledge help in discovering and refining requirements?
a. Yes b. No c. Neutral
6. BI Design – BI system implied the use of heterogeneous sourcesto be used as the data sources. Do the Cognitive-based knowledge capturing for BI analysis determine the modes of interaction with these data sources?
a. Yes b. No c. Neutral
7. BI Evolution – Would the Cognitive-based approach for BI analysis support the fact that these data sources will be continuously evolving?
a. Yes b. No
c. Neutral
8. Architectural design and reasoning – Do you think the software engineer can model and reason about different architectures to support the cognitive-based capturing knowledge for BI system scenario?
a. Yes b. No c. Neutral
9. Formal verification and validation – Do the cognitive-based capturing knowledge for BI system provide any mean for formal verification and validation?
a. Yes b. No c. Neutral
10. Tool support – Does the cognitive-based capturing knowledge for BI system supported by the current commercial tools?
a. Yes b. No c. Neutral
11. Learning curve – Can the KM and BI developer learn the cognitive-based capturing knowledge for BI system and its tools easily?
a. Yes b. No c. Neutral
12. Integration with other methodologies – Can the software developer use other models together with the cognitive-based capturing knowledge for BI system scales from the complex to simpler problems?
a. Yes b. No c. Neutral
13. What do you think about cognitive-based capturing knowledge for the BI system and this expert review questionnaire?
This research have the novelty point, but it’s depend on the object of this research (who is the Subject Matter Expert as repondents). The most important think for cognitive-based capturing knowledge is the consolidation knowledge for BI system. And the other thing is how to validate this tacit knowledge, example by using the 360 degree evaluation.
Notes: Knowledge is the Capability to take Effective Action.
Knowledge mapping is the most important techniques for capturing the knowledge.
The criteria for SME:
- Have high performance
- Become knowledge reference for other people in their field - Have certificate for certain knowledge
- Have ability creating and editing scientific writing - Have desires and willingness sharing knowledge 14. About yourself?
Name : Dr. Yohannes Kurniawan
Position : Senior Faculty Member & Dean of School of Information Systems
Company : BINUS University (Bina Nusantara University) Year of Experience in KM Development: 10 years
Year of Experience in BI Development: 12 years KM or BI tool used :
- Oracle BI - Tibco - Tableau - Qlikview - Bloomfire - Tettra - OpenKM - Documize - Document360 - PHPMyFAQ
Thanks for sharing your opinions on this questionnaire.
Mr. Herison Surbakti
College of Arts and Sciences Universiti Utara Malaysia 06000 UUM Sintok Kedah Darulaman.
Mobile: +628192013198
Email: herisonsurbakti@respati.ac.id
3. IndriaHandoko, ST., MM., Ph.D
1. Different levels of abstraction – Does the Cognitive-based capturing knowledge for BI analysis supports navigating from the general levels of reasoning to the concrete one and vice versa?
□ Yes
□ No
□ Neutral
2. Identifying participants in the domain – In capturing the knowledge with cognitive mappingtechniques with many participants, do the technique help identify participants?
□ Yes
□ No
□ Neutral
3. Capturing, understand, and registering terminology – Would the capturing knowledge for BI help understand the different terms?
□ Yes
□ No
□ Neutral
4. Domain Analysis – Does the capturing knowledge technique for BI analysis support the modelling and reasoning about the social relationship involved?
□ Yes
□ No
□ Neutral
5. Finding Requirements – Does the cognitive-based capturing knowledge help in discovering and refining requirements?
□ Yes
□ No
□ Neutral
6. BI Design – BI system implied the use of heterogeneous sourcesto be used as the data sources. Do the Cognitive-based knowledge capturing for BI analysis determine the modes of interaction with these data sources?
□ Yes
□ No
□ Neutral
7. BI Evolution – Would the Cognitive-based approach for BI analysis support the fact that these data sources will be continuously evolving?
□ Yes
□ No
□ Neutral
8. Architectural design and reasoning – Do you think the software engineer can model and reason about different architectures to support the cognitive-based capturing knowledge for BI system scenario?
□ Yes
□ No
□ Neutral
9. Formal verification and validation – Do the cognitive-based capturing knowledge for BI system provide any mean for formal verification and validation?
□ Yes
□ No
□ Neutral
10. Tool support – Does the cognitive-based capturing knowledge for BI system supported by the current commercial tools?
□ Yes
□ No
□ Neutral
11. Learning curve – Can the KM and BI developer learn the cognitive-based capturing knowledge for BI system and its tools easily?
□ Yes
□ No
□ Neutral
12. Integration with other methodologies – Can the software developer use other models together with the cognitive-based capturing knowledge for BI system scales from the complex to simpler problems?
□ Yes
□ No
□ Neutral
13. What do you think about cognitive-based capturing knowledge for the BI system and this expert review questionnaire?
The approach can be explored further to capture the richer level of tacit knowledge.
Regarding the questionnaire, I think it is more on the cognitive-based and perhaps it also can be focused on answering the research question about tacit knowledge used in BI.
14. About yourself?
Name : IndriaHandoko, ST., MM, Ph.D.
Position : Faculty Member
Company : Universitas PrasetiyaMulya, Jakarta, Indonesia
Year of Experience in KM Development: more than 10 years
Year of Experience in BI Development: I’ve never done a specific research on BI Development before
KM or BI tool used : qualitative research – multiple case study method Thanks for sharing your opinions on this questionnaire.
Mr. Herison Surbakti
College of Arts and Sciences Universiti Utara Malaysia 06000 UUM Sintok Kedah Darulaman.
Mobile: +628192013198
Email: herisonsurbakti@respati.ac.id
4. Dr. Eka Miranda, S.Kom., MMSI
1. Different levels of abstraction – Does the Cognitive-based capturing knowledge for BI analysis supports navigating from the general levels of reasoning to the concrete one and vice versa?
□ Yes
□ No
□ Neutral
2. Identifying participants in the domain – In capturing the knowledge with cognitive mappingtechniques with many participants, do the technique help identify participants?
□ Yes
□ No
□ Neutral
3. Capturing, understand, and registering terminology – Would the capturing knowledge for BI help understand the different terms?
□ Yes
□ No
□ Neutral
4. Domain Analysis – Does the capturing knowledge technique for BI analysis support the modelling and reasoning about the social relationship involved?
□ Yes
□ No
□ Neutral
5. Finding Requirements – Does the cognitive-based capturing knowledge help in discovering and refining requirements?
□ Yes
□ No
□ Neutral
6. BI Design – BI system implied the use of heterogeneous sourcesto be used as the data sources. Do the Cognitive-based knowledge capturing for BI analysis determine the modes of interaction with these data sources?
□ Yes
□ No
□ Neutral
7. BI Evolution – Would the Cognitive-based approach for BI analysis support the fact that these data sources will be continuously evolving?
□ Yes
□ No
□ Neutral
8. Architectural design and reasoning – Do you think the software engineer can model and reason about different architectures to support the cognitive-based capturing knowledge for BI system scenario?
□ Yes
□ No
□ Neutral
9. Formal verification and validation – Do the cognitive-based capturing knowledge for BI system provide any mean for formal verification and validation?
□ Yes
□ No
□ Neutral
10. Tool support – Does the cognitive-based capturing knowledge for BI system supported by the current commercial tools?
□ Yes
□ No
□ Neutral
11. Learning curve – Can the KM and BI developer learn the cognitive-based capturing knowledge for BI system and its tools easily?
□ Yes
□ No
□ Neutral
12. Integration with other methodologies – Can the software developer use other models together with the cognitive-based capturing knowledge for BI system scales from the complex to simpler problems?
□ Yes
□ No
□ Neutral
13. What do you think about cognitive-based capturing knowledge for the BI system and this expert review questionnaire?
Background
The unstructured data can be defined as tacit knowledge in the form of data and information presented in the Knowledge Management System (KMS) (Paladino, 2012).
Unstructured data on Data Science and Big Data could be defined as
Unstructured data is information that either does not have a predefined data model or is not organised in a pre-defined manner. Unstructured information is typically text-heavy, pictures, videos or PDF documents but may contain data such as dates, numbers, and facts as well
https://www.bigdataframework.org/data-types-structured-vs-unstructured-data/
https://searchbusinessanalytics.techtarget.com/definition/unstructured-data Unstructured data could be extract and mining using Text Mining technique.
Business Intelligence
The term Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information. The purpose of Business Intelligence is to support better business decision making.
Business intelligence (BI) comprises the strategies and technologies used by enterprisesfor the data analysis of business information
https://olap.com/learn-bi-olap/olap-bi-definitions/business-intelligence/
Consider what the impact of tacit knowledge for enterprise and decision making process at enterprose level
14. About yourself?
Name : Dr. Eka Miranda, S.Kom., MMSI.
Position : Faculty Member Subject Content Specialist – Data Warehouse
Company : Bina Nusantara University Year of Experience in KM Development: 2 Year of Experience in BI Development: 5
KM or BI tool used : Microsoft SQL Server, BI visual studio, Power BI, Tableau
Thanks for sharing your opinions on this questionnaire.
Mr. Herison Surbakti
College of Arts and Sciences Universiti Utara Malaysia 06000 UUM Sintok Kedah Darulaman.
Mobile: +628192013198
Email: herisonsurbakti@respati.ac.id
5. Dr. Didi Sundiman, ST., MM
1. Different levels of abstraction – Does the Cognitive-based capturing knowledge for BI analysis supports navigating from the general levels of reasoning to the concrete one and vice versa?
□ Yes
□ No
□ Neutral
2. Identifying participants in the domain – In capturing the knowledge with cognitive mapping techniques with many participants, do the technique help identify participants?
□ Yes
□ No
□ Neutral
3. Capturing, understand, and registering terminology – Would the capturing knowledge for BI help understand the different terms?
□ Yes
□ No
□ Neutral
4. Domain Analysis – Does the capturing knowledge technique for BI analysis support the modelling and reasoning about the social relationship involved?
□ Yes
□ No
□ Neutral
5. Finding Requirements – Does the cognitive-based capturing knowledge help in discovering and refining requirements?
□ Yes
□ No
□ Neutral
6. BI Design – BI system implied the use of heterogeneous sources to be used as the data sources. Do the Cognitive-based knowledge capturing for BI analysis determine the modes of interaction with these data sources?
□ Yes
□ No
□ Neutral
7. BI Evolution – Would the Cognitive-based approach for BI analysis support the fact that these data sources will be continuously evolving?
□ Yes
□ No
□ Neutral
8. Architectural design and reasoning – Do you think the software engineer can model and reason about different architectures to support the cognitive-based capturing knowledge for BI system scenario?
□ Yes
□ No
□ Neutral
9. Formal verification and validation – Do the cognitive-based capturing knowledge for BI system provide any mean for formal verification and validation?
□ Yes
□ No
□ Neutral
10. Tool support – Does the cognitive-based capturing knowledge for BI system supported by the current commercial tools?
□ Yes
□ No
□ Neutral
11. Learning curve – Can the KM and BI developer learn the cognitive-based capturing knowledge for BI system and its tools easily?
□ Yes
□ No
□ Neutral
12. Integration with other methodologies – Can the software developer use other models together with the cognitive-based capturing knowledge for BI system scales from the complex to simpler problems?
□ Yes
□ No
□ Neutral
13. What do you think about cognitive-based capturing knowledge for the BI system and this expert review questionnaire?
_ More real data in the field and the analysis conducted will encourage a better process to get a more precise model related to business intelligence and knowledge
management____________________________________________________
______________________________________________________________
___________________The questionnaire was good enough and detail tested
the pattern of BI and
KM___________________________________________________________
______________________________________________________________
_________________
14. About yourself?
Name : Dr. Didi Sundiman, ST., MM.
Position : Head of LPPM Universitas Universal Company : Universitas Universal
Year of Experience in KM Development: 10 years Year of Experience in BI Development: 2-3 years KM or BI tool used : R and Jamovi
Profile Pict. link:
https://drive.google.com/open?id=1qh4Ict71tr4I7Jk_yVlSe11QvNM3lBoK Thanks for sharing your opinions on this questionnaire.
Mr. Herison Surbakti
College of Arts and Sciences Universiti Utara Malaysia 06000 UUM Sintok Kedah Darulaman.
Mobile: +628192013198
Email: herisonsurbakti@respati.ac.id
6. A’ang Subiyakto, S.Kom., M.Kom., Ph.D
1. Different levels of abstraction – Does the Cognitive-based capturing knowledge for BI analysis supports navigating from the general levels of reasoning to the concrete one and vice versa?
□ Yes
□ No
□ Neutral
2. Identifying participants in the domain – In capturing the knowledge with cognitive mapping techniques with many participants, do the technique help identify participants?
□ Yes
□ No
□ Neutral
3. Capturing, understand, and registering terminology – Would the capturing knowledge for BI help understand the different terms?
□ Yes
□ No
□ Neutral
4. Domain Analysis – Does the capturing knowledge technique for BI analysis support the modelling and reasoning about the social relationship involved?
□ Yes
□ No
□ Neutral
5. Finding Requirements – Does the cognitive-based capturing knowledge help in discovering and refining requirements?
□ Yes
□ No
□ Neutral
6. BI Design – BI system implied the use of heterogeneous sources to be used as the data sources. Do the Cognitive-based knowledge capturing for BI analysis determine the modes of interaction with these data sources?
□ Yes
□ No
□ Neutral
7. BI Evolution – Would the Cognitive-based approach for BI analysis support the fact that these data sources will be continuously evolving?
□ Yes
□ No
□ Neutral
8. Architectural design and reasoning – Do you think the software engineer can model and reason about different architectures to support the cognitive-based capturing knowledge for BI system scenario?
□ Yes
□ No
□ Neutral
9. Formal verification and validation – Do the cognitive-based capturing knowledge for BI system provide any mean for formal verification and validation?
□ Yes
□ No
□ Neutral
10. Tool support – Does the cognitive-based capturing knowledge for BI system supported by the current commercial tools?
□ Yes
□ No
□ Neutral
11. Learning curve – Can the KM and BI developer learn the cognitive-based capturing knowledge for BI system and its tools easily?
□ Yes
□ No
□ Neutral
12. Integration with other methodologies – Can the software developer use other models together with the cognitive-based capturing knowledge for BI system scales from the complex to simpler problems?
□ Yes
□ No
□ Neutral
13. What do you think about cognitive-based capturing knowledge for the BI system and this expert review questionnaire?
I think, the topic is interesting how to adopt the cognitive-based method in BI system. The research strategy may have been designed clearly, but its break downing to the next research methodology points may also need to be presented and justified clearly. Besides the clear presentation and justification will support the trust and validity aspects of the research quality.
14. About yourself?
Name : A'ang Subiyakto, S.Kom., M.Kom., Ph.D Position : Academician
Company : Department of Information System, UIN Syarif Hidayatullah, Jakarta, Indonesia
Year of Experience in KM Development: 5 years Year of Experience in BI Development: 5 years KM or BI tool used : MS OneNote, Google Chart Thanks for sharing your opinions on this questionnaire.
Mr. Herison Surbakti
College of Arts and Sciences Universiti Utara Malaysia 06000 UUM Sintok Kedah Darulaman.
Mobile: +628192013198
Email: herisonsurbakti@respati.ac.id