Investigating Netizen Sentiment Toward Halal Certification in Indonesia Using Machine Learning

Jurnal Ekonomi Syariah Teori dan Terapan Pub Date : 2023-11-30 DOI:10.20473/vol10iss20236pp525-540

Yan Putra Timur, R. Ratnasari, A. A. Pitchay, Usman Jamilu

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Abstract

ABSTRACT This study examined the most discussed halal certification terms and topics on Indonesian Twitter. This study also explored the sentiments and opinions of Indonesian netizens on halal certification. This analysis uses Twitter tweets from April 10 to 24, 2023. A quantitative method was used by using Orange Data Mining. Researchers used the keywords "Sertifikasi Halal", "Label Halal" and "Halal MUI" to obtain 1,000 tweets. The results of the study show that the tweets with the highest number of likes and retweets discuss the ease of obtaining Halal certification, which is guaranteed by the Cipta Kerja Law. In addition, the words "halal", "certification", and "MUI" are the most frequently used words in Twitter conversations. The most discussed topics by netizens about halal certification include "halal", "certification", "food", "MUI", "product", "sucofindo", "permit", and "safe". Twitter is dominated by tweets with neutral sentiments shown by joy emotions, as much as 68.22% of the total tweets. Keywords: Halal certification, sentiment analysis, Twitter, Machine learning, Orange data mining ABSTRAK Penelitian ini bertujuan untuk menemukan kata-kata dan topik yang paling banyak dibicarakan tentang sertifikasi halal di Twitter Indonesia. Serta untuk menemukan sentimen dan emosi netizen Indonesia tentang sertifikasi halal. Data penelitian ini berasal dari tweet Twitter yang diambil dari 10 April 2023 hingga 24 April 2023. Metode kualitatif dilakukan dengan bantuan Orange Data Mining. Peneliti menggunakan kata kunci “Sertifikasi Halal”, “Label Halal”, dan “Halal MUI” untuk mendapatkan 1.000 tweet. Hasil penelitian menunjukkan bahwa tweet yang memiliki jumlah like dan retweet terbanyak membahas tentang kemudahan perizinan sertifikasi halal yang dijamin dalam UU Cipta Kerja. Selain itu, kata "Halal", "Sertifikasi", dan "MUI" merupakan kata yang paling sering muncul dalam percakapan di Twitter. Topik yang paling banyak diperbincangkan oleh warganet mengenai sertifikasi halal antara lain topik "halal", "sertifikasi", "makanan", "MUI", "produk", "sucofindo", "izin", dan "aman". Twitter didominasi oleh tweet dengan sentimen netral yang ditunjukkan dengan emosi kegembiraan sebanyak 68,22% dari total tweet. Kata Kunci: Sertifikasi Halal, Sentiment Analisis, Twitter, Machine Learning, Orange Data Mining

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利用机器学习调查印度尼西亚网民对清真认证的看法

ABSTRACT 本研究调查了印度尼西亚 Twitter 上讨论最多的清真认证术语和话题。本研究还探讨了印尼网民对清真认证的看法和意见。本分析使用了 2023 年 4 月 10 日至 24 日的 Twitter 微博。研究人员使用了 Orange 数据挖掘的定量方法。研究人员使用关键词 "清真认证"、"清真标签 "和 "清真 MUI "获得了 1,000 条推文。研究结果表明，点赞数和转发数最多的推文讨论的是获得清真认证的难易程度，这一点得到了《创造就业机会法》的保障。此外，"清真"、"认证 "和 "MUI "是推特对话中使用频率最高的词汇。网民讨论最多的有关清真认证的话题包括 "清真"、"认证"、"食品"、"MUI"、"产品"、"sucofindo"、"许可证 "和 "安全"。推特上以喜悦情绪为主的中性推文占推文总数的 68.22%。关键词清真认证、情感分析、Twitter、机器学习、Orange 数据挖掘 ABSTRACT This study aims to find the most talked about words and topics about halal certification on Twitter Indonesia.本研究旨在找出印度尼西亚 Twitter 上关于清真认证的最热门词汇和话题，以及印度尼西亚网民对清真认证的情感和情绪。本研究的数据来自 2023 年 4 月 10 日至 2023 年 4 月 24 日的 Twitter 微博。在 Orange 数据挖掘的帮助下，研究人员采用了定性方法。研究人员使用 "清真认证"、"清真标签 "和 "清真MUI "等关键词获取了1000条推文。结果显示，点赞数和转发数最多的推文讨论了《就业创造法》中保障的清真认证许可的便利性。此外，"Halal"、"Certification "和 "MUI "也是推特对话中出现频率最高的词。网民讨论最多的有关清真认证的话题包括 "清真"、"认证"、"食品"、"MUI"、"产品"、"sucofindo"、"许可证 "和 "安全"。 Twitter上以喜悦情绪为主的中性推文占推文总数的68.22%。关键词清真认证、情感分析、推特、机器学习、橙色数据挖掘

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Jurnal Ekonomi Syariah Teori dan Terapan

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