Business Intelligence Model to Analyze Social Media Information

Kurnia, Parama Fadli; Suharjito, Suharjito

doi:10.1016/j.procs.2018.08.144

Cited by 34 publications

(23 citation statements)

References 7 publications

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“…The objective of this research is to create business intelligence dashboard to observe the performance of news channels that is posted to social media accounts like Facebook and Twitter. This study also suggests wording qualification using Word2vec that could enhance the accuracy of text qualification process [15,16].…”

Section: Astesj Issn: 2415-6698mentioning

confidence: 92%

Talk Show’s Business Intelligence on Television by Using Social Media Data in Indonesia

Riso¹,

Girsang²

2019

Adv. sci. technol. eng. syst. j.

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Knowing how and types of talk shows discussed in social media is significant to all stakeholders in a talk show's program. There are many messages that can be found in social media that need to be noticed so the messages from the user could reach the viewer. Social media provides promising as well as challenging data to business intelligence. By using data warehouse and business intelligence, the data from social media can be proceeded to monitor and understand adoption and sentiment. In this research, data warehouse and business intelligence will be designed and implemented using data from social medias; Facebook, Twitter, Instagram, and Youtube which are expected to be the source to do monitoring to social media contents that are shared by each stakeholder from the talk shows that are going to be analyzed. As for the sentiment analysis, word2vec, Naïve Bayes and Random Forest will be applied for the qualification methods. As a result, this monitoring is used to give understanding of how information spread and the sentiment which underlies the spreading messages could give critical perception to the management on how their product recognized and valued in society.

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Section: Astesj Issn: 2415-6698mentioning

confidence: 92%

Talk Show’s Business Intelligence on Television by Using Social Media Data in Indonesia

Riso¹,

Girsang²

2019

Adv. sci. technol. eng. syst. j.

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“…Implementasi sistem BI yang digunakan dalam menjalankan perhitungan data dan summarization secara otomatis dapat menggunakan Data Warehouse (DW), sehingga tidak perlu lagi penghitungan secara manual. Selain itu, sistem BI yang dibuat dapat diakses oleh pengguna kapan saja dan di mana saja [6]. Implementasi lain terkait strategi sistem BI menyimpulkan bahwa, reporting dan application strategy merupakan faktor penting yang perlu dipertimbangkan untuk mencapai BI yang efektif [7].…”

Section: Perkembanganunclassified

Business Intelligence System for Evaluation of Widyaiswara Ministry of Religious Affairs Performance

Noval

2020

RESTI

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The Religious Research, Development and Training Agency of the Ministry of Religious Affairs as a supervisory unit for Widyaiswara functional positions, has the task of evaluating the performance of Widyaiswara of the Ministry of Religious Affairs. That demands the availability of a need for reports or data that presented quickly and accurately when the Widyaiswara performance evaluation process is conducted every year. The problem that occurs these days is that the data on the result of credit score of Widyaiswara assessment are stored in an unstructured excel file. This study utilizes the data warehouse and business intelligence in the process of Widyaiswara performance evaluation. The OLTP (Online Transaction Process) Data that presented for data warehouse is the result of credit score of Widyaiswara assessment. The planning of data warehouse conducted through nine-steps methodology that created by Kimball and Ross, then those data were analyzed using OLAP (Online Analytical Processing) in the application of qliksense in the form of dashboard business intelligence to present the data in a faster visual form. The result, giving the information to the leader to evaluate the performance of Widyaiswara, especially in making decision such as circular letter to improve the quality of Widyaiswara performance, the minimum score limit in the performance agreement, reward in the form of certificate of appreciation for the highest score and punishment in the form of warning letter for the low total score.

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“…Other tools provide a means of communication, so the founders and owners may contact a professional for consultancy services. Researchers have shed light on the need to improve models for better business intelligence architecture by suggesting a convenient unified model [7,8].…”

Section: Introductionmentioning

confidence: 99%

Cooperative Business Intelligence Model Using a Multiagent Platform

Khozium

Farooqi

2020

Scientific Programming

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Modern companies wish to utilize business intelligence (BI) to track and analyze their courses of action. Many BI applications serve this purpose at many levels, starting from documenting and charting and ending with analytics and decision support systems, which are considered a sufficient complement to consultancy and management resources. However, the contemporaneous BI software is missing two functionalities. First, although nearly all applications of the same genre use almost identical concepts, there is no unified application programming interface (API) to enable interaction. The second problem is a consequence of the first issue. Without a unified API, BI applications cannot be integrated, eliminating any possibility of establishing universal platforms for BI distributed services. Lacking these two functionalities makes developers reinvent the wheel with each new implementation. To solve these problems, we propose a platform running a multiagent business intelligence system. This system empowers the available BI resources to serve a larger segment of the BI end-user applications cooperatively. To build this system, we propose a unified model that enables distributive agent-based tasking and cooperative interaction. This allows researchers to cooperate in spreading the multiagent platform’s functionality and helps them proceed toward more detailed analysis considering agents’ construction. Moreover, it will enable BI service providers to cooperatively implement new applications and develop better solutions while maintaining a functional end-user program.

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Business Intelligence Model to Analyze Social Media Information

Cited by 34 publications

References 7 publications

Talk Show’s Business Intelligence on Television by Using Social Media Data in Indonesia

Talk Show’s Business Intelligence on Television by Using Social Media Data in Indonesia

Business Intelligence System for Evaluation of Widyaiswara Ministry of Religious Affairs Performance

Cooperative Business Intelligence Model Using a Multiagent Platform

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