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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Daya Mas : Media Komunikasi dan Informasi Hasil Pengabdian dan Pemberdayaan Masyarakat
Bayu Suriaatmaja Suwanda
Institut Pertanian Bogor
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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PENERAPAN METODE NAÏVE BAYES CLASSIFIER TERHADAP SENTIMEN MASYARAKAT PADA TAGAR #KABURAJADULU DI MEDIA SOSIAL TWITTER Eni Purnama; Bayu Suriaatmaja Suwanda
JURNAL DAYA-MAS Vol. 10 No. 2 (2025): JURNAL DAYA-MAS
Publisher : Universitas Merdeka Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33319/dymas.v10i2.182

Abstract

Twitter is a social media platform that allows its users to communicate in short messages and has become a space for expressing public opinion, including through the popular hashtag #kaburajadulu, which reflects the concerns of the young generation about social conditions and their dreams of seeking a better life abroad. This study aims to analyze public sentiment towards the hashtag using two approaches. First, sentiment classification was performed using the Naïve Bayes Classifier algorithm to divide tweets into positive, neutral, and negative categories. The process involved data collection, preprocessing, labeling, word weighting, classification, evaluation, and visualization. The classification results showed an accuracy of 56%. Second, a multinomial logistic regression analysis was conducted to determine the effect of three independent variables on sentiment. The results showed that all three variables had a significant influence, with varying degrees of contribution. These findings suggest that a combined approach between machine learning and statistical analysis can provide in-depth insights into communication patterns and public opinion on social issues emerging on social media, particularly in the context of migration and youth anxiety.
Penerapan Fitur Live Streaming TikTok @Mizzucosmetic untuk Memperkuat Brand Awareness Made Shanty Aurellia; Bayu Suriaatmaja Suwanda; Alfa Taufan Latif
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 3 (2026): JULY 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i3.6007

Abstract

This study aims to examine how the use of TikTok's live streaming feature on the @mizzucosmetic account can strengthen brand awareness among audiences. This study used a descriptive qualitative method through in-depth interviews and participant observation over four months. There were four informants in this study consisting of two live streamer coordinators, a live host, and a mizzu cosmetics audience who were involved to gain a more comprehensive understanding of the experiences and interaction patterns that occur during live broadcasts. The findings show that interactive features such as live chat, product pins, and flash sales play a role in attracting audience attention, encouraging engagement, and building interest in the products offered. The AIDA theory is used as a framework to examine how live streaming builds attention (Attention), fosters interest and desire (Interest & Desire), and triggers purchasing actions (Action). Overall, this study illustrates that the consistent and informative use of live streaming features can strengthen Mizzu Cosmetics' brand awareness.
Co-Authors Alfa Taufan Latif Eni Purnama Made Shanty Aurellia