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All Journal Elkom: Jurnal Elektronika dan Komputer PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Elkawnie JURNAL PENGABDIAN KEPADA MASYARAKAT MODELING: Jurnal Program Studi PGMI ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton An Nadwah Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JSR : Jaringan Sistem Informasi Robotik Jurnal Teknik Informatika C.I.T. Medicom INFOKUM Teknosains : Jurnal Sains,Teknologi dan Informatika IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Walisongo Journal of Information Technology Jurnal Indonesia : Manajemen Informatika dan Komunikasi KLIK: Kajian Ilmiah Informatika dan Komputer Innovative: Journal Of Social Science Research Cendekia: Media Komunikasi Penelitian dan Pengembangan Pendidikan Islam
Sriani Sriani
Univeritas Islam Negeri Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Analisis Sentimen Pada Komentar Mengenai Kartu Indonesia Pintar Menggunakan Metode Naïve Bayes Dava Sindy; Sriani Sriani
JURIKOM (Jurnal Riset Komputer) Vol 12, No 2 (2025): April 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i2.8528

Abstract

The Indonesia Smart Card (Kartu Indonesia Pintar – KIP) is a government program aimed at providing educational assistance to students from underprivileged families. This program seeks to improve access to education and increase learning opportunities for children, enabling them to complete their education up to the secondary or vocational level. In the digital era, public opinion regarding government policies, including KIP, is often expressed through social media platforms such as X. Sentiment analysis is a technique in natural language processing (NLP) used to identify, extract, and classify opinions from text. One of the commonly used algorithms for sentiment analysis is Naïve Bayes, which operates based on Bayes' Theorem with the assumption of feature independence. This algorithm is effective in text classification due to its simplicity and ability to handle large datasets.By utilizing the Naïve Bayes algorithm, sentiment analysis of the KIP program can provide deep insights into public responses. The results of this analysis can assist the government in evaluating policies, understanding public perceptions, and optimizing program implementation to ensure it effectively reaches its intended beneficiaries.
Analisis Respons Netizen Terhadap Ujaran Kebencian Dalam Kolom Komentar Instagram Gibran Rakabuming Pada Masa Kontestasi Politik 2024 Fikril Hakim; Irma Yusriani Simamora
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 4 (2025): OCTOBER-DECEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i4.4502

Abstract

This study aims to analyze netizens' responses to hate speech in the comments column of Gibran Rakabuming's Instagram account, Vice President of the Republic of Indonesia for the 2024–2029 period. The study used a content analysis method with a descriptive qualitative approach. Data were obtained from netizens' comments on Gibran's uploads from March to April 2025. The results of the study showed various types of hate speech, such as those motivated by politics, physical, psychological, racism, and age. The dominant forms of speech include insults, provocation, and blasphemy. Netizens' responses were divided into two: supporting and rejecting. Supporting responses appeared in the form of justification or sarcasm, while rejecting responses showed awareness of digital ethics and an invitation to respect each other. This study highlights the polarization of opinion in the digital space as well as the importance of digital literacy, social media ethics, and content moderation regulations to create healthy public communication.
Co-Authors Abdul Halim Hasugian Adi Hartono Aidil Halim Lubis Alfioni Saragi Ali Akbar Siregar Alif Lailasari Saragih Armansyah Armansyah Dava Sindy Dirga Ayu Sulistia Fadhilah Andini Fikril Hakim Heri Santoso Ilham Fuadi Nasution Ilka Zufria Indah Permata Sari Jerri Pradana Sikumbang Juraidah Juraidah Khairuna Khairuna Lia Putri Ashari Lubis Mafazi Ananda Hafiz Mhd Furqan Mhd. Syahnan Milla Rantika Muhammad Dary Daffa Haque Muhammad Naufal Shidqi Muhammad Siddik Hasibuan Nurul Hayati Purwaningtyas, Franindya Rahmat Zulfikar Nasution Rakhmat Kurniawan R Rima Aprilia Riris Silvia Tampubolon Ruslan Padli Siti Rahmawati Soly Aryza Lubis Soly Aryza Lubis Sri Rahmadani Suci Ramadhani Tommi Ardiansyah Triase Triase Triase Triase Waju Indrian Wina Fadia Ardianti Yuli Kartika Siregar Yunus Fadillah Harahap Zordy Andrean Sibarani