Usman Jamilu
International Resources Management Company

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What Do Indonesian Think About Waqf? A Sentiment Analysis Using Machine Learning Yan Putra Timur; Ririn Tri Ratnasari; Anwar Allah Pitchay; Usman Jamilu
ZISWAF Vol 10, No 1 (2023): ZISWAF: JURNAL ZAKAT DAN WAKAF
Publisher : State Islamic Institute of Kudus (IAIN Kudus)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/ziswaf.v10i1.20224

Abstract

This study aims to identify the most popular topics and words in conversations on Twitter with the topic of waqf in Indonesia. This study also aims to identify the sentiments and emotions of netizens about waqf in Indonesia. 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 April 10, 2023, to April 24, 2023. Researchers used the keyword "Wakaf" to get 1,000 tweets. The results of the study show that the words "Wakaf," "Masjid," and “Tanah" are the three words that most often appear in discussions on the topic of waqf on Twitter. These three words refer to the people in Indonesia, where the majority donate part of their wealth in the form of land designated as a mosque. On social media, Twitter is dominated by tweets with neutral sentiments shown by happy emotions, as much as 76.37% of the total tweets. Waqf management institutions can increase the intensity of using social media in publicizing activities related to collecting waqf donations and managing and distributing the benefits of waqf funds to mauquf alaih as a form of transparency to increase the credibility of waqf management institutions.
Investigating Netizen Sentiment Toward Halal Certification in Indonesia Using Machine Learning Yan Putra Timur; Ririn Tri Ratnasari; Anwar Allah Pitchay; Usman Jamilu
Jurnal Ekonomi Syariah Teori dan Terapan Vol. 10 No. 6 (2023): November-2023
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/vol10iss20236pp525-540

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