Analisis Komentar Potensial pada Social Commerce Instagram Menggunakan TF-IDF

Musyarofah, Rizqa Luviana; Utami, Ema Utami; Raharjo, Suwanto Raharjo

doi:10.30864/eksplora.v9i2.360

Cited by 3 publications

(3 citation statements)

References 10 publications

(14 reference statements)

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“…Komentar di Instagram merupakan sumber informasi berharga yang informatif dan sangat membantu [7]. Hal ini dikarenakan komentar di Instagram merupakan data teks yang dapat dianalisis untuk mengetahui pendapat dan perasaan masyarakat terhadap larangan pernikahan beda agama yang ramai diperbincangkan.…”

Section: Pendahuluanunclassified

Klasifikasi sentimen terhadap larangan pernikahan beda agama menggunakan metode Naive Bayes Classifier

Muhammad Rizki Syafapri,

Elin Haerani,

Iwan Iskandar

et al. 2024

CoSciTech

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Pernikahan beda agama masih menjadi isu kontroversial bagi masyarakat Indonesia yang multikultural. Aturan Undang-Undang Nomor 1 Tahun 1974 yang melarang pernikahan beda agama memicu berbagai tanggapan di masyarakat. Pada tahun 2023, Mahkamah Agung (MA) mengeluarkan putusan yang melarang pengadilan agama mencatatkan pernikahan beda agama. Hal ini semakin memperkuat kontroversi dan memicu berbagai reaksi dari masyarakat. Platform seperti Instagram menjadi wadah bagi masyarakat untuk mengekspresikan berbagai sentimen mereka terhadap isu ini, mulai dari dukungan, penolakan, hingga pertanyaan dan keraguan. Penelitian ini mengklasifikasikan 1000 komentar Instagram yang dikumpulkan dari lima akun media sosial berita. Komentar tersebut dilabeli secara manual oleh seorang pakar yang berprofesi sebagai dosen bahasa Indonesia, sehingga terbagi menjadi 500 komentar positif dan 500 komentar negatif. Setelah melalui proses text preprocessing dan pembobotan TF-IDF, metode Naïve Bayes Classifier berhasil mencapai tingkat akurasi tertinggi sebesar 76% dengan menggunakan 10% data uji dari dataset untuk mengklasifikasikan sentimen masyarakat terhadap larangan pernikahan beda agama pada komentar Instagram.

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Section: Pendahuluanunclassified

Klasifikasi sentimen terhadap larangan pernikahan beda agama menggunakan metode Naive Bayes Classifier

Muhammad Rizki Syafapri,

Elin Haerani,

Iwan Iskandar

et al. 2024

CoSciTech

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“…Business people in social commerce can implement marketing strategies such as advertising through influencers, utilizing consumer reviews, giveaway activities or prizes, and direct sales through live broadcasts on social media. This strategy aims to reach a wider audience, build trust through reviews, attract attention through giveaways, and provide a direct and interactive shopping experience (Musyarofah, Utami, & Raharjo, 2020). The implementation of this strategy is expected to increase consumer engagement and product sales through social commerce.…”

Section: Gen Z On Social Mediamentioning

confidence: 99%

Meme Marketing: Generation Z Consumer Behavior on Social Media

Arie Bowo,

Anisah,

Marthalia

2024

JISS

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This study investigates the phenomenon of "Meme Marketing" and its impact on the consumer behavior of Generation Z on social media. The research focuses on the characteristics, classification, coherence levels, and format evolution of memes, as well as their role in marketing strategies. Meme characteristics, such as fidelity, fecundity, longevity, and additional elements like relevance, ease of replication, uniqueness, and humor, are identified as key influencers on meme dissemination. Meme classification involves four types proposed by Knobel and Lankshear, along with considerations of genre, format, and media, providing an overview of meme diversity. The transformation of meme formats, from single images to GIF videos, reflects adaptation to trends and social media technology. The role of memes in marketing strategies goes beyond brand awareness, becoming a source of innovation in the cultural industry. Humor, as a key element, plays a crucial role in attracting attention and creating appeal for consumers. Meme virality factors, such as relevance, iconicity, humor, and format, require effective embedding and distribution strategies. In the context of Generation Z consumer behavior, memes provide satisfaction in entertainment, social interaction, and information. Media factors, including embedding and distribution strategies, are crucial for the successful dissemination of memes and consumer engagement. Applying marketing theory frameworks, this research offers both theoretical and practical implications for the development of effective marketing strategies in the digital era

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“…Delay adalah waktu yang dibutuhkan data untuk menempuh jarak sampai paket dikirim. Bisa dipengaruhi oleh banyak faktor antara lain jarak, media fisik, kemacetan atau bisa juga disebabkan oleh waktu yang lama [10].…”

Section: E Delayunclassified

Analysis of Bandwidth Management Quality of Internet Network Services at the Shanti Bhuana Institute

Sari

Ningki²,

Rosa³

et al. 2023

JIfoTech

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To test the quality of internet network services at the Shanti Bhuana Institute and the addition of two study programs, namely Information Technology S1 and PGSD S1 in August 2020. During this pandemic, advances in information technology, especially in the internet sector, network service quality, and system services are very important, especially when it comes to accessing online applications like Zoom or Google Meet. The internet network of the Shanti Bhuana Institute was initially only 10 Mbps, but was later increased to 130 Mbps. The author will analyze the quality of bandwidth management of internet network services at the Shanti Bhuana Institute. Based on these problems, the authors will use the FDMI (Fixed Daily Measurement Interval) and Qos (Quality of Services) methods to assess the quality of bandwidth management of internet network services at Shanti Bhuana Institute. The findings of this study can be used to make physical recommendations for the internet network of the Shanti Bhuana Institute. Based on measurements and tests carried out on the internet network at the Shanti Bhuana Institute, a throughput value of 6721 kb/s was obtained. This figure is part of the very good category index. Meanwhile, the amount of packet loss is very low (0.0001%), so it is classified as very good, the delay obtained is 50.338539 ms which is included in the very good category, while the jitter value is 52.97569 ms which is included in the good category.

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Analisis Komentar Potensial pada Social Commerce Instagram Menggunakan TF-IDF

Cited by 3 publications

References 10 publications

Klasifikasi sentimen terhadap larangan pernikahan beda agama menggunakan metode Naive Bayes Classifier

Klasifikasi sentimen terhadap larangan pernikahan beda agama menggunakan metode Naive Bayes Classifier

Meme Marketing: Generation Z Consumer Behavior on Social Media

Analysis of Bandwidth Management Quality of Internet Network Services at the Shanti Bhuana Institute

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