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english english Noviyanti, Ririn; Albab, M. Ulil
AL- IKTISAB Journal of Islamic Economic Law Vol 7 No 2 (2023)
Publisher : University of Darusssalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/aliktisab.v7i2.11724

Abstract

Halal lifestyle has recently begun to be hotly discussed. Both by halal lifestyle activists and the community as producers and consumers. The 2018 Halal Economy and Strategy Roadmap states that Indonesia's total consumption of halal goods and services in 2017 was around US$ 218,8 billion. This number is estimated to continue to grow by an average of 5,3% and reach US$ 330,5 billion in 2025. This has also received appreciation and support by LPPOM-MUI by holding a Halal Award on July 7, 2022 ago. This study aims to analyze in depth about the potential of halal lifestyle influencers in their efforts to educate and socialize netizens about halal lifestyle, especially on Muslim Indonesia. This type of research was qualitative with a netnography approach. Netnography is a method used to uncover and analyze publicly available information where everyone is free to share through social media networks. Netnography can be defined as a research method within the network, an adaptation of ethnography applied to understand social interactions in the context of digital communication. Observations and documentation were used as data collection techniques. Meanwhile, data analysis uses data content analysis. This research found that halal lifestyle enthusiasts through halal content become one of the important agents in the context of disseminating halal information and knowledge and become a trigger in uploading halal awareness. Involving halal lifestyle enthusiasts has great potential and can have a positive impact on halal socialization in Indonesia. The contribution of this research was to provide a concrete picture regarding the role of halal lifestyle influencer in increasing the awareness of halal lifestyle in Indonesia.
Optimization of the Stemming Technique on Text Preprocessing President 3 Periods Topic Albab, M. Ulil; P., Yohana Karuniawati; Fawaiq, Mohammad Nur
Jurnal Transformatika Vol. 20 No. 2 (2023): January 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i2.5374

Abstract

Stemming merupakan suatu proses untuk menemukan kata dasar dari sebuah kata. Penelitian ini bertujuan untuk melakukan tahapan text pre-processing pada data twitter yang menyebutkan topik Presiden 3 Periode , yaitu sebanyak 797 data yang didapatkan dari crawling twitter mulai tanggal 15 April 2022 sampai dengan 30 April 2022, sekaligus melakukan optimasi salah satu teknik stemming terhadap teks berbahasa Indonesia yang memang belum banyak dilakukan. Banyaknya kata yang diolah sebanyak 9401 kata. Optimasi yang dilakukan yaitu dengan memodifikasi kamus bahasa dan menambahkan kata-kata yang dimasukkan dalam stopword sehingga dapat menghasilkan jumlah kata ter-stemming yang semakin meningkat. Sebelum dilakukan optimasi, prosentase keberhasilan stemming mencapai 95,86%, setelah dilakukan optimasi meningkat menjadi 99,93%.