Garuda - Garba Rujukan Digital

PEMAPARAN KRIMINALITAS DAN BUDAYA SIBER MELALUI SEMINAR LITERASI DIGITAL KEPADA MASYARAKAT DESA CIELA Elsen, Rickard; Ramadhan, Muhammad Rizky; Nuraeni, Intan; Nurfitri, Lulu Bintang; Anwari, Aldi Yunan; Hoeriah, Dea Nurul; Melinda, Zihan; Ismail, Ridwan; Ruslam, Alam; Fauziyah, Adinda Jaida; Indrakusumah, Muhammad Rafi; Rodiansyah, Novan; Gumilar, Ari Fajar; Setiaji, Bayu; Fatmawati, Alya; Syafei, Fikri Ramdani Abdullah; Fauzan, Muhammad Alwan; Fajriyanti, Neng Nenti; Banowati, Rika
Jurnal PkM MIFTEK Vol 5 No 1 (2024): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.5-1.1490

The development of technology and information has brought various impacts in human life. Especially for the younger generation who were born and grew up in the development of technology. The reading ability of the internet generation (net generation) needs to be directed towards an understanding of digital information and the utilization of various digital media platforms. Digital literacy is a person's ability or skill to understand and use information from various digital sources. The purpose of writing this article is to see the challenges faced and how people should respond to hoax news in digital media with the ease and speed of internet access and the uncontrolled use of social media so that it is difficult for us to find the truth when we have the inability to choose and sort information, so that we can become a true generation that is not only able to face the changes and developments of the times. The method used in writing this article is the literature review method by using literature in the form of books, journals, notes, or reports on previous research results. Training and socialization efforts such as digital literacy seminars and door to door digital literacy are expected to help the younger generation and society as a whole become wiser in dealing with digital information, avoid hoaxes, and make positive use of technology.

Tinjauan Analisis Sentimen Terkait COVID-19 Al Sidqi, Muhammad Affan; Afrizal, Nabil Nur; Rodiansyah, Novan; Cahyana, Rinda
Journal of Digital Literacy and Volunteering Vol. 3 No. 1 (2025): January
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v3i1.118

The Covid-19 pandemic control policy has created public opinion on social media. The government controls sentiment so that people remain compliant with the policy. Several previous studies have analyzed sentiment with various approaches. This study aims to describe how to analyze sentiment related to the pandemic of earlier studies with a traditional literature review approach through the literature survey stage. The results of the review found various approaches to data collection and sentiment analysis that have been applied by previous studies and their challenges, as well as opportunities for further research.

Tinjauan Analisis Sentimen Terkait COVID-19 Al Sidqi, Muhammad Affan; Afrizal, Nabil Nur; Rodiansyah, Novan; Cahyana, Rinda
Journal of Digital Literacy and Volunteering Vol. 3 No. 1 (2025): January
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v3i1.118

The Covid-19 pandemic control policy has created public opinion on social media. The government controls sentiment so that people remain compliant with the policy. Several previous studies have analyzed sentiment with various approaches. This study aims to describe how to analyze sentiment related to the pandemic of earlier studies with a traditional literature review approach through the literature survey stage. The results of the review found various approaches to data collection and sentiment analysis that have been applied by previous studies and their challenges, as well as opportunities for further research.

Constructing a Part-of-Speech Tagging based on Lexicon and Rule-based for Sundanese Corpus Sutedi, Ade; Latifah, Ayu; Rodiansyah, Novan; Sudaryat, Yayat
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5361

Part-of-Speech (POS) Tagging is the process of annotating word classes (nouns, verbs, adjectives, etc.) in a sentence, which is used as a basis for natural language processing and artificial intelligence. In this study, a corpus of word classes and word class annotating rules for the Sundanese language, which has limited resources, was developed. The experiments were conducted on an annotated corpus consisting of 104,696 tokens collected from Sundanese dictionaries, Sundanese Literature (Carita Pondok, Guguritan, Mantra, Pupujian, Sisindiran, Sajak, and Wawacan), Babasan and Paribasa, and social media X (Twitter). The annotation process is carried out in several stages that combine manual annotation based on cross-lingual transfer from Indonesian POS to Sundanese POS, then adjusted based on the word class rules in Sundanese. The results of this study are a POS annotation corpus containing Sundanese word-tag pairs and a basic rule-based model compared to the HMM and CRF models. The rule-based model achieves an F1-score of 0.867, the CRF model achieves an F1-score of 0.889, while the HMM model attains the highest score with an F1-score of 1.000. Analysis of POS distributions reveals that nouns (KB) consistently dominate across all models, reflecting the noun-rich nature of Sundanese literary texts. It also highlights the challenges of handling unknown words and the need for richer annotated resources, which are related to tag interoperability with Universal POS standards. This research contributes to the development of NLP resources for low-resource languages and provides a methodological foundation for future Sundanese NLP applications.

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