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UTILIZING TWITTER DATA TO UDERSTAND GLOBAL HALAL INDUSTRY TRENDS AND DEVELOPMENTS IN THE DIGITAL ERA Izza, Nadia Nurul; Priantina, Anita; Rusydiana, Aam Slamet
Airlangga International Journal of Islamic Economics and Finance Vol. 6 No. 02 (2023): JULY-DECEMBER 2023
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/aijief.v6i02.50700

Abstract The research aims to identify and collect issues related to the halal industry discussed by users' activities, sentiments, and content on Twitter. The method used involved collecting 135,050 Twitter conversations over a two-year period from July 21, 2021, to March 15, 2023, utilizing the Drone Emprit Academic (DEA) machine. Text data mining techniques were employed with the assistance of the DEA system, which included sentiment analysis, Social Network Analysis (SNA), and other descriptive analyses. The research findings indicate that the highest number of tweets related to the halal industry originated from Indonesia, followed by Malaysia and the United Kingdom. These tweets were predominantly contributed by millennials and zillennials and were characterized by a 71% positive sentiment, 27% negative sentiment, and 2% neutral sentiment. Furthermore, the Social Network Analysis (SNA) revealed integration and collaboration between the halal industry and Islamic financial institutions, suggesting the potential for creating a halal ecosystem. This research serves as a guideline for policymakers in the halal industry sector to evaluate public sentiment and formulate appropriate advancement strategies. Additionally, this study contributes to a deeper understanding of social media data analysis in the context of the halal industry and offers directions for future research. Keywords: Halal Industry; Text Mining; Sentiment Analysis; Twitter; Drone Emprit Academic.

Cash Waqf in Indonesia: Wordcloud and Research Cluster Uula, Mimma Maripatul; Izza, Nadia Nurul; Ikhwan, Ihsanul
International Journal of Waqf Vol. 3 No. 1 (2023): International Journal of Waqf
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/ijw.v3i1.326

This study seeks to map research related to cash waqf in Indonesia published by Dimensions indexed journals from 2008 to 2023. NVivo 12 Plus was used to conduct a thematic review and frequency was used to evaluate 208 publications in the scientific literature. The results found that the number of publications fluctuated from year to year related to cash waqf research in Indonesia, indicating that this topic is an interesting topic and should continue to be developed. In addition, various focuses of discussion and cluster analysis that describe the research path in cash waqf research in Indonesia include Cash Waqf Institution in Indonesia, Cash Waqf in Indonesia and Cash Waqf Model in Indonesia. This research can be used as a starting point for experts to build graphic visualizations of cash waqf research patterns in Indonesia in published scientific research.

A Lesson Learned from BSI Error Service: A Twitter Text Mining Data Approach Using NVivo Izza, Nadia Nurul; Herindar, Evania; Akbar, Nashr
MALIA: Journal of Islamic Banking and Finance Vol 8, No 1 (2024): MALIA: Journal of Islamic Banking and Finance
Publisher : IAIN Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/malia.v8i1.23436

This research extensively examines Twitter trend data related to BSI (Bank Syariah Indonesia) error services, collecting 1,014 tweets in real-time using NCapture from NVivo 12 Plus within the timeframe of May 8-16, 2023. The key findings highlight that 81% of conversations regarding BSI error services carry a negative sentiment. Additionally, a word cloud identifies key terms such as "services" (2.21%), "transactions" (0.87%), "ransomware" (0.74%), and "trust" (0.42%). As a concrete solution, the research recommends enhancing the transparency of BSI management to the public and fostering close collaboration with relevant authorities such as OJK, BI, and LPS. Furthermore, the strengthening of BSI's cybersecurity is emphasized to mitigate risks. These findings not only provide in-depth insights but also present practical steps that can be implemented to protect consumers and restore public trust in the Islamic banking sector. As a valuable contribution to the literature, this research not only offers a snapshot of the current situation but also identifies relevant directions for future research. Overall, the study integrates comprehensive data analysis with impactful recommendations, establishing a robust foundation for understanding and continuous improvement in the management of BSI error services. Notably, this research is the first to use NVivo in collecting Twitter data related to BSI error services

Twitter Data Analysis on Halal Labeling: Insights for the Food Industry in Indonesia Izza, Nadia Nurul; Fitria, Lia; Arsyi, Muhammad; Nugraha, Fajar
Halal Tourism and Pilgrimage Vol. 3 No. 2 (2023): Halal Tourism and Pilgrimage
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/htp.v3i2.391

This research uses text data mining techniques and the Drone Emprit Academic (DEA) system to identify and collect current problems related to the Halal label. The data analyzed includes 2,665 conversations from August 19, 2022 to March 15, 2023. The results show that conversations around the Halal label are closely related to the popular food franchise industry, with words such as "gacoan," "food," and "mixue" appearing the most frequently. In addition, this research found that sentiment towards the halal label varied, with 52% positive sentiment, 44% negative sentiment, and 3% neutral sentiment. Interestingly, in this finding, the initial discussion regarding Gacoan and Mixue which had a negative sentiment then turned positive after they both obtained halal certification and displayed the halal logo on their products. Thus, the implications of this research can contribute to further understanding of social media data analysis related to Halal labels in the food industry in Indonesia as well as increasing insight and thinking regarding this issue, and offering further research directions.

Zakat Management in Indonesia: A Qualitative Analysis using N-Vivo Uula, Mimma Maripatul; Izza, Nadia Nurul
Management and Sustainability Vol. 2 No. 1 (2023): Management and Sustainability
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/ms.v2i1.321

This study attempts to map research related to zakat management in Indonesia published by Scopus indexed journals from 2006 to 2023. NVivo 12 Plus was used to conduct thematic review and frequency was used to evaluate 145 publications in scientific literature. The results found that there is a fluctuating number of publications from year to year related to zakat management research in Indonesia which indicates that this topic is an interesting topic and should continue to be developed. In addition, various focuses of discussion and cluster analysis that describe the research path in zakat management research in Indonesia include Social Justice and Zakat Management in Indonesia, Social Finance and Zakat Management in Indonesia, Effective Zakat Management in Indonesia, and Financial Institutions and Zakat Management in Indonesia. This research can be used as a starting point for experts to build a graphic visualization of zakat management research patterns in Indonesia in published scientific research.

A Lesson Learned from BSI Error Service: A Twitter Text Mining Data Approach Using NVivo Izza, Nadia Nurul; Herindar, Evania; Akbar, Nashr
MALIA: Journal of Islamic Banking and Finance Vol 8, No 1 (2024): MALIA: Journal of Islamic Banking and Finance
Publisher : IAIN Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/malia.v8i1.23436

This research extensively examines Twitter trend data related to BSI (Bank Syariah Indonesia) error services, collecting 1,014 tweets in real-time using NCapture from NVivo 12 Plus within the timeframe of May 8-16, 2023. The key findings highlight that 81% of conversations regarding BSI error services carry a negative sentiment. Additionally, a word cloud identifies key terms such as "services" (2.21%), "transactions" (0.87%), "ransomware" (0.74%), and "trust" (0.42%). As a concrete solution, the research recommends enhancing the transparency of BSI management to the public and fostering close collaboration with relevant authorities such as OJK, BI, and LPS. Furthermore, the strengthening of BSI's cybersecurity is emphasized to mitigate risks. These findings not only provide in-depth insights but also present practical steps that can be implemented to protect consumers and restore public trust in the Islamic banking sector. As a valuable contribution to the literature, this research not only offers a snapshot of the current situation but also identifies relevant directions for future research. Overall, the study integrates comprehensive data analysis with impactful recommendations, establishing a robust foundation for understanding and continuous improvement in the management of BSI error services. Notably, this research is the first to use NVivo in collecting Twitter data related to BSI error services

A BIBLIOMETRIC ANALYSIS ON ISLAMIC BUSINESS EDUCATION Izza, Nadia Nurul; Rusydiana, Aam Slamet
Khatulistiwa Vol 14, No 1 (2024)
Publisher : The Pontianak State Institute of Islamic Studies

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24260/khatulistiwa.v14i1.2384

This study tries to examine research on Islamic business education in Scopus indexed journals. The purpose of this research is to find out the map of research development related to Islamic Business in the field of education by using bibliometric mapping. The things described in the mapping are related to authors, institutions, countries, and keywords related to Islamic Business Education. This analysis uses descriptive statistical analysis of 153 selected papers related to Islamic business education. All samples of published journals have been published for 36 years from 1985 to 2021. The data is exported and then processed and analyzed using the VOSviewer application program to find out the bibliometric visualization map of Islamic business education research development results of the study show a map of the development of research in the field of Islamic business education. This research finds the link between Islamic business education and the SDGs goals manifested in the form of integrating knowledge, skills, and ethics to ensure the quality of education that is inclusive and sustainable and able to answer existing global problems.

Pros and Cons of Riba Interest Izza, Nadia Nurul; Al-Ayubi, Solahuddin
Islamic Economics Methodology Vol. 2 No. 2 (2023): Islamic Economics Methodology
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/iem.v2i2.355

This study aims to ascertain attitudes concerning usury interest throughout the previous 29 years, from 1994 to 2022. This study employs a qualitative analysis method on secondary data in the form of metadata from 146 publications indexed by Scopus, which was then processed using SentiStrength and Microsoft Excel 2019. According to the sentiment analysis's findings, there is a significant amount 49,3% of neutral sentiment followed by 32,2% of negative sentiment and 18,5% positive sentiment in expert opinions on usury interest. The study's findings revealed that the tendency of usury interest in Islamic banking is still on the rise. According to the study, many different types of usury practices exist. Thus, practitioners, academia, and the government must continue educating and socializing people about usury-free economic methods that adhere to Islamic principles. These findings can be used as an example to educate the general public and society about usury interest and Islamic finance and economics.

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