PUBLIC PERCEPTION OF AMIL ZAKAT INSTITUTIONS IN INDONESIA: INSIGHT DISCOVERY FROM MACHINE LEARNING
Downloads
Introduction: This study aims to identify the most popular topics and words in conversations on Twitter with the topic of Amil Zakat in Indonesia. This research also aims to identify the sentiments and emotions of netizens about the Amil Zakat in Indonesia.
Method: This study uses a qualitative method with a sentiment analysis approach with the help of Orange Data Mining. The data used are tweets from Twitter taken from 16 to 23 April 2023. Researchers used the keywords "Amil Zakat" "Lembaga Zakat" and "Lembaga Amil Zakat" to get a total of 1,000 tweets.
Result: The results of the study show that the words "Zakat" "Badan" and "Nasional" are the three words that appear most often in discussions of Amil Zakat institutions on Twitter. These three words refer to the BAZNAS, where based on the metadata processed in this study, many people, individuals, and institutions distribute their zakat through BAZNAS.
Conclusion and suggestion: Overall, Twitter is dominated by tweets with neutral sentiments, shown by happy emotions, as much as 93.51% of the total tweets. Amil Zakat can increase the intensity of communication through social media especially regarding solicitations for the community, as well as achieving the collection and distribution of zakat funds as a form of information disclosure to the public.
Abdullah, Z., Mohd Sharif, M. H., Saad, R. A. J., Mohd Ariff, A. H., Md Hussain, M. H., & Mohd Nasir, M. H. (2023). Zakat institutions' adoption of social media. Journal of Islamic Accounting and Business Research. https://doi.org/10.1108/JIABR-01-2022-0013
Ahmad, Z. A., & Rusdianto. (2020). Impact of Transparency and Accountability on Trust and Intention to Donate Cash Waqf in Islamic Microfinance Institutions. Shirkah Journal of Economics and Business, 5(2).
Ahmad, Z. A., & Rusdianto, R. (2018). The Analysis of Amil Zakat Institution/Lembaga Amil Zakat (LAZ) Accountability toward Public Satisfaction and Trust. Muqtasid: Jurnal Ekonomi Dan Perbankan Syariah, 9(2), 109. https://doi.org/10.18326/muqtasid.v9i2.109-119
Alam, A., Ratnasari, R. T., Mua'awanah, C., & Hamidah, R. A. (2022). Generation Z perceptions in paying Zakat, Infaq, and Sadaqah using Fintech: A comparative study of Indonesia and Malaysia. Investment Management and Financial Innovations, 19(2), 320–330. https://doi.org/10.21511/imfi.19(2).2022.28
Alqtati, N., Wilson, J. A. J., & De Silva, V. (2022). Mining Arabic Twitter conversations on health care: a new approach to analysing Arabic language on social media. Journal of Islamic Marketing, 13(12), 2649–2671. https://doi.org/10.1108/JIMA-12-2020-0355
Antonakaki, D., Fragopoulou, P., & Ioannidis, S. (2021). A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks. Expert Systems with Applications, 164(February 2020), 114006. https://doi.org/10.1016/j.eswa.2020.114006
Anwar, A. S. H. (2016). Model Pemberdayaan Ekonomi Mustahiq Melalui Zakat. Jurnal Ekonomi Akuntansi Dan Manajemen, XV(246), 51–61.
Araminta, D. V., Qudziyah, & Timur, Y. P. (2022). The Role of Green Sukuk in Realizing The Sustainable Development Goals 2030 Agenda. JEBIS : Jurnal Ekonomi Dan Bisnis Islam, 8(2), 251–266. https://doi.org/10.20473/jebis.v8i2.37531
Arifin, N., & Anwar, A. Z. (2021). The Improvement Model of Microenterprises of Post-Disaster Through Empowerment of Productive Zakat. Journal of Governance and Regulation / Volume 10, Issue 4, 2021 THE, 10(4), 156–163. https://doi.org/10.22495/jgrv10i4art14
Ascarya, A. (2021). The role of Islamic social finance during Covid-19 pandemic in Indonesia's economic recovery. International Journal of Islamic and Middle Eastern Finance and Management, 15(2), 386–405.
Asmat, H., Husnain, M., Iqbal, N., Ali, D., Amnah, F., & Ali, A. (2022). Exploiting Credibility for Sentiments: It Works! Journal of Tianjin University Science and Technology, 55(9). https://doi.org/10.17605/OSF.IO/N5VC4
Assalafiyah, A., & Rusydiana, A. S. (2023). Professional Zakat in Indonesia : A Sentiment Analysis. International Journal of Zakat Vol., 8(1), 16–24.
Ayuniyyah, Q., Pramanik, A. H., Md Saad, N., & Ariffin, M. I. (2022). The impact of zakat in poverty alleviation and income inequality reduction from the perspective of gender in West Java, Indonesia. International Journal of Islamic and Middle Eastern Finance and Management, 15(5), 924–942. https://doi.org/10.1108/IMEFM-08-2020-0403
Badan Pusat Statistik. (2022). Analisis Profil Penduduk Indonesia. In Badan Pusat Statistik. https://www.bps.go.id/
Badan Pusat Statistik. (2023). Profil Kemiskinan di Indonesia September 2022 (Issue 07).
BAZNAS. (2022). Outlook Zakat Indonesia 2022 (Vol. 21, Issue 1). http://journal.um-surabaya.ac.id/index.php/JKM/article/view/2203
Bigne, E., Ruiz-maf, C., & Badenes-rocha, A. (2023). The influence of negative emotions on brand trust and intention to share cause-related posts : A neuroscientific study. Journal of Business Research, 157(June 2022). https://doi.org/10.1016/j.jbusres.2022.113628
Bilo, C., & Machado, A. C. (2020). The role of Zakat in the provision of social protection: A comparison between Jordan and Sudan. International Journal of Sociology and Social Policy, 40(3–4), 236–248. https://doi.org/10.1108/IJSSP-11-2018-0218
Bin-Nashwan, S. A. (2022). Toward diffusion of e-Zakat initiatives amid the COVID-19 crisis and beyond. Foresight, 24(2), 141–158. https://doi.org/10.1108/FS-08-2020-0082
Chan, H. K., Lacka, E., Yee, R. W. Y., & Lim, M. K. (2015). The role of social media data in operations and production management. International Journal of Production Research, 55(17), 5027–5036. https://doi.org/10.1080/00207543.2015.1053998
Creswell, J. . (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (4th ed.). Thousand Oaks, CA: Sage.
Dawood, T. C., Kuala, U. S., Pratama, H., Datar, T., Sumatra, W., Masbar, R., Kuala, U. S., Effendi, R., & Kuala, U. S. (2019). Does Financial Inclusion Alleviate Household Poverty? Empirical Evidence From Indonesia. 12(2), 235–252. https://doi.org/10.14254/2071-789X.
Erlando, A., Dwi, F., & Masakazu, S. (2020). Heliyon Financial inclusion , economic growth , and poverty alleviation : evidence from eastern Indonesia. Heliyon, 6(May), e05235. https://doi.org/10.1016/j.heliyon.2020.e05235
Fadilah, S., Rosdiana, Y., Maemunah, M., & Hernawati, N. (2021). Multidimensional Scaling ( MDS ): Sustainability Assesment Model of Community Economic. Polish Journal of Management Studies, 24(2), 119–135. https://doi.org/10.17512/pjms.2021.24.2.08
Faza, F. T., Timur, Y. P., Mutmainah, L., & Rusgianto, S. (2022). You've Over the Line! Muslim Consumers are Resistant to Opposite Brand Values. Shirkah: Journal of Economics and Business, 7(3), 219–238. https://doi.org/10.22515/shirkah.v7i3.529
Firdaus, S. K., Puspitasari, W., & Lubis, M. (2016). Enterprise Resource Planning System Implementation With Purchase Management Module In Lembaga Amil Zakat Nasional. IEEE Explore.
Firdaus, S. N., Ding, C., & Sadeghian, A. (2021). Retweet Prediction based on Topic, Emotion and Personality. Online Social Networks and Media, 25(August), 100165. https://doi.org/10.1016/j.osnem.2021.100165
Hadi, R., Sochimin, & Basit, A. (2021). Sharia strategic economic model on digital zakat technology in Indonesia. Economic Annals-XXI, 187, 82–89. https://doi.org/https://doi.org/10.21003/ea.V187-08 Rahmini
Hamid, A., Mohd, R., Raja, T., Ahmad, L., Azlan, W., Hassan, W., Majudi, S., & Fahmy, S. (2022). Text Classification on Social Media using Bidirectional Encoder Representations from Transformers (BERT) for Zakat Sentiment Analysis. International Journal of Synergy in Engineering and Technology, 3(1), 79–87. https://tatiuc.edu.my/ijset/index.php/ijset/article/view/132
Hassan, M. K., Hudaefi, F. A., & Caraka, R. E. (2022). Mining netizen's opinion on cryptocurrency: sentiment analysis of Twitter data. Studies in Economics and Finance, 39(3), 365–385. https://doi.org/10.1108/SEF-06-2021-0237
Herianingrum, S., Widiastuti, T., Hapsari, M. I., Ratnasari, R. T., Firmansyah, F., Hassan, S. A., Febriyanti, A. R., Amalia, R. C., & Muzakki, L. A. (2022). Muzakki and Mustahik ' s collaboration model for strengthening the fundraising capacity of Islamic social fi nance institutions during COVID-19. International Journal of Ethics and Systems. https://doi.org/10.1108/IJOES-05-2022-0091
Hudaefi, F. A. (2021). Zakat in the Virtual World: Sentiment Analysis of Netizens' Opinion on Twitter. International Journal of Zakat and Islamic Philanthropy, 2, 2672–7471.
Hudaefi, F. A., & Beik, I. S. (2020). Digital zakÄh campaign in time of Covid-19 pandemic in Indonesia: a netnographic study. Journal of Islamic Marketing, 12(3), 498–517. https://doi.org/10.1108/JIMA-09-2020-0299
Hudaefi, F. A., Caraka, R. E., & Wahid, H. (2022). Zakat administration in times of COVID-19 pandemic in Indonesia: a knowledge discovery via text mining. International Journal of Islamic and Middle Eastern Finance and Management, 15(2), 271–286. https://doi.org/10.1108/IMEFM-05-2020-0250
Hudaefi, F. A., Hassan, M. K., Abduh, M., & Beik, I. S. (2022). Knowledge discovery of zakat administration worldwide from YouTube and Zoom via text mining. Journal of Islamic Accounting and Business Research, 159–180. https://doi.org/10.1108/JIABR-03-2022-0067
International Policy Centre for Inclusive Growth. (2018). The role of zakat in the provision of social protection: a comparison between Jordan, Palestine and Sudan (Issue 168).
Izza, N. N., & Rusydiana, A. S. (2022). A Qualitative Review on Zakat Innovation : NVivo 12 Approach. 6th Indonesian Conference of Zakat Proceedings.
Jiao, H., Tang, W., Liu, T., Wang, X., & Ma, L. (2022). How do IT affordances support behavioral intention in charitable crowdfunding? The mediating effects of donor perceptions and motivations. Kybernetes, 51(11), 3172–3200. https://doi.org/10.1108/K-09-2020-0575
Kailani, N., & Slama, M. (2020). Accelerating Islamic charities in Indonesia: zakat, sedekah and the immediacy of social media. South East Asia Research, 28(1), 70–86. https://doi.org/10.1080/0967828X.2019.1691939
Kamaruddin, M. I. H., Shafii, Z., Hanefah, M. M., Salleh, S., & Zakaria, N. (2023). Exploring Shariah audit practices in zakat and waqf institutions in Malaysia. Journal of Islamic Accounting and Business Research. https://doi.org/10.1108/JIABR-07-2022-0190
Khotimah, D. R. K. (2022). Big Data: How Public Response to Islamic Economy in Indonesia during Pandemic? Al-Muzara'Ah, 2022(2022), 1–16. https://doi.org/10.29244/jam.specialissue2022.1-16
Kurniawan, R., Nurkholis, Nazri, M. Z. A., Kestari, F., & Sukamto, R. S. (2022). A Web-Based Zakat Recipient Determination System using the Naí¯ve Bayes Algorithm. 2022 5th International Conference of Computer and Informatics Engineering (IC2IE) A, 337–341.
Lahuerta-Otero, E., Cordero-Gutiérrez, R., & De la Prieta-Pintado, F. (2018). Retweet or like? That is the question. Online Information Review, 42(5), 562–578. https://doi.org/10.1108/OIR-04-2017-0135
Liu, Y., & Tang, X. (2018). The effects of online trust-building mechanisms on trust and repurchase intentions: An empirical study on eBay. Information Technology and People, 31(3), 666–687. https://doi.org/10.1108/ITP-10-2016-0242
Lutfi, B. A., Prasetyo, A., Timur, Y. P., & Rifqi, M. (2023). Exploring Gender Differences In Determinants of Bank Aladin Sharia Adoption: A Multi Group Analysis Approach. Jurnal Ekonomi Dan Bisnis Airlangga, 33(1), 40–52. https://doi.org/10.20473/jeba.V33I12023.40-52
Mailoa, F. F. (2021). Analisis sentimen data twitter menggunakan metode text mining tentang masalah obesitas di indonesia. Journal of Information Systems for Public Health, 6(1), 44. https://doi.org/10.22146/jisph.44455
Marcu, D., & Danubianu, M. (2020). Sentiment analysis from students' feedback. 15th International Conference on Development and Application Systems, 204–209.
Mawardi, I., Widiastuti, T., Ubaidillah, M. A. M., & Hakimi, F. (2022). Analyzing the impact of productive zakat on the welfare of zakat recipients. Journal of Islamic Accounting and Business Research, 14(1), 118–140. https://doi.org/10.1108/JIABR-05-2021-0145
Mir, A. A., Rathinam, S., & Gul, S. (2022). Public perception of COVID-19 vaccines from the digital footprints left on Twitter: analyzing positive, neutral and negative sentiments of Twitterati. Library Hi Tech, 40(2), 340–356. https://doi.org/10.1108/LHT-08-2021-0261
Mira, I. G., Lubis, M., Puspitasari, W., & Ridho, A. (2020). ERP system implementation with accounting modules in national amil zakat institutions. IOP Conf. Series: Materials Science and Engineering. https://doi.org/10.1088/1757-899X/801/1/012117
Mittal, R., & Ahmed, W. (2021). Twitter users ' coping behaviors during the COVID-19 lockdown : an analysis of tweets using mixed methods. Information Discovery and Delivery, 3(March), 193–202. https://doi.org/10.1108/IDD-08-2020-0102
Mohd Suki, N., Mohd Suki, N., & Hussin Shokri, M. F. (2022). Examining youths' intention to use social media networks for understanding zakat online campaigns that use creative animation. Journal of Islamic Marketing. https://doi.org/10.1108/JIMA-09-2021-0288
Nanath, K., & Joy, G. (2023). Leveraging Twitter data to analyze the virality of Covid-19 tweets: a text mining approach. Behaviour and Information Technology, 42(2), 196–214. https://doi.org/10.1080/0144929X.2021.1941259
Nasri, R., Aeni, N., & Haque-fawzi, M. G. (2019). Determination of Professionalism and Transparency and Its Implications for The Financial Performance of Zakat Institutions. Journal of Islamic Monetary Economics and Finance, 5(4), 785–806. https://doi.org/https://doi.org/10.21098/jimf.v5i4.1158
Nurillah, S. L., Aini, Z. N., Timur, Y. P., & Widiastuti, T. (2022). Online Review and Rating on Consumer Purchase Intention: The Moderating Role of Religiosity. Jurnal Ekonomi Dan Bisnis Airlangga, 32(2), 160–175. https://doi.org/10.20473/jeba.V32I22022.160-175
Nurillah, S. L., Timur, Y. P., & Yasin, A. (2021). Nazhir Image And Wakif Trust, Which Influences The Wakif's Intention To Give Waqf. AFEBI Islamic Finance and Economic Review, 7(2), 115–126.
Otoritas Jasa Keuangan. (2022). Siaran Pers Survei Nasional Literasi dan Inklusi Keuangan Tahun 2022 (Issue November).
Purbasari, I., Fauzan, E. M., & Azizah. (2018). Zakat in Indonesian State Treasury Funds : Its Potential Obstacle and Abuse Zakat in Indonesian State Treasury Funds : Its Potential Obstacle and Abuse. IOP Conference Series: Earth and Environmental Science. https://doi.org/doi :10.1088/1755-1315/175/1/012200
Puskas BAZNAS. (2022). Outlook Zakat 2021. In BAZNAS PUSKAS Working Paper Series (Issue December).
Qardhawi, Y. (2000). Hukum Zakat. Lintera Antar Nusa.
Ratnasari, R. T., Timur, Y. P., Battour, M., & Jamilu, U. (2023). An effort to increase waqf intention : The role of celebrity endorsers in social campaigns. Al-Uqud: Journal of Islamic Economics, 7(1), 154–171. https://doi.org/https://doi.org/10.26740/aluqud.v7n2.p154-171
Redjeki, S. R. I., & Widyarto, S. (2022). Sentiment Analysis to Identify Public Opinion for Zakat Implementation in Indonesia Using Machine Learning Algorithms. International Journal of Computers, 7, 38–44.
Ridwan, M., Andriyanto, I., & Suharso, P. (2019). The BAZNAS Strategy in Coastal Region Economic Empowerment The BAZNAS Strategy in Coastal Region Economic Empowerment. IOP Conference Series: Earth and Environmental Science, 246. https://doi.org/10.1088/1755-1315/246/1/012073
Salleh, W. N. A. W. M., Rasid, S. Z. A., & Basiruddin, R. (2019). Towards Transforming Zakat Collection and Distribution Roles Using Digital Wallet in Support of Social Justice and Social Financing. Open International Journal of Informatics (OIJI), 7(2), 95–103.
Sarmast, Z., Shokouhyar, S., Ghanadpour, S. H., & Shokoohyar, S. (2023). Unravelling the potential of social media data analysis to improve the warranty service operation. Industrial Management and Data Systems. https://doi.org/10.1108/IMDS-07-2022-0427
Sima, V., Gheorghe, I. G., Subic, J., & Nancu, D. (2022). Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review. Sustainability, 13(8), 4041–4056. https://doi.org/10.1007/s12652-021-03177-x
Sulaeman, Majid, R., & Widiastuti, T. (2021). The Impact of Zakat on Socio-Economic Welfare before COVID-19 Pandemic in Indonesia: A Quantitative Study. International Journal of Zakat, 6(2), 75–90. https://doi.org/https://doi.org/10.37706/ijaz.v6i2.301
Suzianti, A., Edrisy, F., & Mubarak, A. (2020). User Interface of Zakat Information System Redesign using Design Thinking Approach . Case Study : KNEKS. ICIBE 2020, 37–44. https://doi.org/https://doi.org/10.1145/3429551.3429588
Timur, Y. P. (2022). Apakah Digital Cause-Related Marketing Berpengaruh Terhadap Niat Beli Konsumen Muslim Pada Produk UMKM Makanan Halal ? Prosiding National Seminar on Accounting, Finance, and Economics (NSAFE), 2(2), 1–16.
Timur, Y. P., & Herianingrum, S. (2022). the Influence of Entrepreneurship Education on Entrepreneurial Intentions in Generation Z Muslim. Jurnal Ekonomi Dan Bisnis Airlangga, 32(1), 81–92. https://doi.org/10.20473/jeba.v32i12022.81-92
Timur, Y. P., Ratnasari, R. T., Hadi, T. S., & Sari, D. P. (2023). What Do Indonesian Think About E-Money?: A Sentiment Analysis With Machine Learning. Jurnal Riset Akuntansi Dan Bisnis Airlangga, 8(1), 1452–1469. https://doi.org/https://doi.org/10.20473/jraba.v8i1.44940
Timur, Y. P., Ratnasari, R. T., Pitchay, A. A., & Jamilu, U. (2023). What Do Indonesian Netizens Think About Waqf? : a Sentiment Analysis With Machine Learning. ZISWAF: Jurnal Zakat Dan Wakaf, 10(1), 98–122. https://doi.org/DOI : 10.21043/ziswaf.v10i1.20224
Trivedi, S. K., & Singh, A. (2021). Twitter sentiment analysis of app based online food delivery companies. Global Knowledge, Memory and Communication, 70(8–9), 891–910. https://doi.org/10.1108/GKMC-04-2020-0056
Wearesocial. (2022). Indonesian Digital Report 2022. In Datareportal.Com (p. 113). https://datareportal.com/reports/digital-2021-indonesia
Widiastuti, T., Auwalin, I., Rani, L. N., & Ubaidillah Al Mustofa, M. (2021). A mediating effect of business growth on zakat empowerment program and mustahiq's welfare. Cogent Business and Management, 8(1). https://doi.org/10.1080/23311975.2021.1882039
Widiastuti, T., Cahyono, E. F., Zulaikha, S., Mawardi, I., & Al Mustofa, M. U. (2021). Optimizing zakat governance in East Java using analytical network process (ANP): the role of zakat technology (ZakaTech). Journal of Islamic Accounting and Business Research, 12(3), 301–319. https://doi.org/10.1108/JIABR-09-2020-0307
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
- Every manuscript submitted to JEBIS must obey to the policy and terms set by Journal of Economics and Business Islamic.
- Publication rights on the contents of manuscript published by JEBIS is owned by JEBIS under consent and approval by the corresponding author(s).
- Full text of electronic publication of manuscripts can be accessed free if used for the purpose of education and research according to copyright regulation.
- Share ” copy and redistribute the material in any medium or format
- Adapt ” remix, transform, and build upon the material
- You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- You may not use the material for commercial purposes.
- If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.