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All Journal Legal Opinion Jurnal Rekayasa Material, Manufaktur & Energi JURNAL ATOMIK Jurnal Akuakultur Sungai dan Danau Sorai: Jurnal Pengkajian dan Penciptaan Musik JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Seminar Nasional Lahan Suboptimal Visual Heritage: Jurnal Kreasi Seni dan Budaya Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Nusantara Hasana Journal Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) El-Jughrafiyah : Jurnal Geografi dan Terapannya Jurnal Inkofar TIMPALAJA: Architecture Student Journal JAMAIKA: Jurnal Abdi Masyarakat Journal of Scientific Research, Education, and Technology Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Journal Information & Computer (JICOM) Jurnal Pengabdian Masyarakat JURNAL BUANA Jurnal Ilmu Komputer Jurnal DIKDAS Jurnal Ilmiah Detubuya (JID) Journal of Modern Social and Humanities
Wahyu Pratama
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Strategies for Strengthening Political Participation of First-Time Voters Through Social Media and Civic Education Hadi, Ayatullah; Hidayatullah; Alam, Nabil; Pratama, Wahyu; Muliadi, Akmal
JURNAL ILMIAH DETUBUYA Vol. 2 No. 4 (2025): September
Publisher : Visi Pencerah Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64581/jid.v2i4.149

Abstract

This study examines strategies to enhance political participation among young voters by integrating social media and civic education. This is done in response to the lack of political understanding and high levels of disinformation experienced by the younger generation. Using the Systematic Literature Review (SLR) method, this study examines 184 documents from various scientific sources published between 2019 and 2024 to identify effective strategies for encouraging political participation among young voters. The findings indicate that social media plays a significant role in disseminating political information quickly and engagingly. At the same time, civics education serves to shape character and foster critical and responsible political awareness. The collaboration between social media, civics education, and contributions from families, schools, and youth organizations is considered effective in increasing active, rational, and sustainable political participation. This study proposes enhancing digital political understanding, developing innovative political campaigns, and systematically engaging various parties to cultivate a generation of intelligent and integrity-driven young voters for the future of Indonesian democracy.
Analisis Sentimen Komentar Netizen Terhadap Isu Ijazah Presiden Joko Widodo Menggunakan Naive Bayes Dengan Pelabelan Fuzzy Logic Berbasis Leksikon Pratama, Wahyu
Jurnal Ilmu Komputer Vol 4 No 1 (2026): Jurnal Ilmu Komputer (Edisi Januari 2026)
Publisher : Universitas Pamulang

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Abstract

The controversy surrounding the legitimacy of President Joko Widodo's diploma has sparked widespread discussion on social media, generating diverse public comments with positive, negative, and neutral sentiments. This study aims to analyze Indonesian-language sentiment on the issue using a sequential approach that combines Fuzzy Logic-based labeling with Naive Bayes classification. The methodology encompasses several stages: comprehensive text preprocessing (case folding, tokenizing, filtering, and stemming), term weighting with TF-IDF (Term Frequency-Inverse Document Frequency), automated sentiment labeling using lexicon-based Fuzzy Logic with a conservative threshold of ±2, and supervised classification using the Naive Bayes algorithm. A total of 10,027 comments were collected from three major social media platforms Twitter (X), YouTube, and TikTok spanning the period from December 2024 to May 2025. The dataset was divided into 80% training data (8,021 comments) and 20% test data (2,006 comments). The Fuzzy Logic labeling process, utilizing 28 positive keywords and 36 negative keywords, identified a sentiment distribution of 72.38% neutral, 22.98% positive, and 4.64% negative comments. The Naive Bayes model achieved an overall accuracy of 80.76%, demonstrating excellent performance in detecting neutral sentiment (precision 0.82, recall 0.98) but exhibited lower performance for minority classes: positive sentiment (precision 0.70, recall 0.41) and negative sentiment (precision 0.80, recall 0.04). The class imbalance significantly influenced model predictions, with 85.48% of predictions classified as neutral.
Analisis Sentimen Berbahasa Indonesia Menggunakan Preprocessing Teks, TF-IDF, Naive Bayes, dan Logika Fuzzy: Studi Kasus Komentar Netizen tentang Ijazah Jokowi: A Case Study of Netizens' Comments on President Joko Widodo’s Diploma Across Twitter, YouTube, and TikTok Pratama, Wahyu
Journal Information & Computer Vol. 4 No. 1 (2026): Journal Information & Computer
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jicomisc.v4i1.52503

Abstract

Isu keabsahan ijazah Presiden Joko Widodo telah menjadi topik kontroversial yang ramai diperbincangkan di media sosial, memunculkan beragam komentar netizen dengan sentimen positif, negatif, dan netral. Penelitian ini bertujuan untuk menganalisis sentimen netizen berbahasa Indonesia terhadap isu tersebut menggunakan pendekatan hibrida. Proses dilakukan melalui tahapan preprocessing teks (case folding, tokenizing, filtering, dan stemming), pembobotan kata dengan TF-IDF, klasifikasi awal menggunakan algoritma Naive Bayes, serta penyempurnaan hasil klasifikasi dengan Logika Fuzzy untuk menangani ambiguitas dan ketidakpastian bahasa alami. Data sebanyak 10.248 komentar dikumpulkan dari Twitter, YouTube, dan TikTok, dengan 2.082 komentar digunakan sebagai data uji. Hasil menunjukkan bahwa model Naive Bayes mencapai akurasi 82,1%, dan meningkat menjadi 88,5% setelah integrasi dengan Logika Fuzzy. Distribusi akhir sentimen menunjukkan dominasi sentimen netral, diikuti oleh negatif dan positif. Pendekatan ini terbukti efektif dalam mengungkap opini publik secara lebih akurat dan representatif terhadap isu sosial-politik yang sensitif dalam bahasa Indonesia.
PELATIHAN PENERAPAN ARTIFICIAL INTELLIGENCE (AI) UNTUK KEGIATAN BELAJAR MENGAJAR PADA PENDIDIKAN MENENGAH KEJURUAN Muhammad Faqih Rohmani; Pratama, Wahyu
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 7 No 1 (2026): FEBRUARI
Publisher : Universitas Pamulang

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Abstract

This Community Service activity aims to improve the literacy and skills of educators at Al-Amanah Vocational High School, Sindang Jaya, Tangerang, Banten, in understanding and applying Artificial Intelligence (AI) technology to teaching and learning activities. The training focused on the use of two main platforms, ChatGPT and Google Gemini, as tools for developing teaching materials, creating questions, and conducting interactive classroom simulations. The implementation method used interactive lectures, demonstrations, and hands-on training. The results showed a significant improvement in participant skills, with 85% of teachers able to implement Al to support learning and create digital teaching materials. Furthermore, 98% of participants showed a significant increase in AI understanding, and 92% stated they were ready to implement AI in the learning process. The activity also resulted in the formation of the Al-Amanah Vocational High School Smart Teacher community as a platform for the sustainability of training and sharing good practices among teachers. The results emphasized how the offered solution successfully addressed the partner's problem. Keywords: Artificial Intelligence, ChatGPT, Gemini, Digital Learning, Vocational High School Teachers
Co-Authors Alam, Nabil Alanta Dewa, Daggo Arifin, M Yusuf Armi, Ilham Astuti, Yulia Asyadi, Moh Bagaskara, Akbar Chairul Saleh Darmawan, Arif Rizky Defwaldi, Defwaldi Driptufany, Dwi Marsiska Eko Harianto, Eko Endrizal Erizon, Nelvi Fadhli Almu’iini Ahda Fahmi Ramadhan, Fahmi Fajrin, Fajrin Fauzia Azzahra, Fauzia Fazrie, Mohammad Fitri Nur Latifah Hadi, Ayatullah Hanif Hawari, Muhamad Harahap, Renaldy Hidayatullah ILHAM FAUZI Inka Nusamuda Pratama Kun Setyaning Astuti Marliana, Elsa Marwah Marwah Molo, Benediktus Muhammad Faqih Rohmani Muhammad Idris Muhammad Syarif Abdillah, Muhammad Syarif Muliadi, Akmal Nainggolan, Yulina Adelina Nur Wulan, Nur Nursyam Nursyam Nurwahyuningsih Nurwahyuningsih Oktawati, Andi Eka Pangentasari, Dwinda Pratama, Abdul Aziz Pravitasari, Norma Rahmanelli Rahmanelli Rahmatullah . Rani, Alfita Saputra, Ajay Silmi, Hayatus Siti Nurhaliza Sitorus, Dicky Andreas Smith, Muhammad Rizki Surya, Lalu Dicky Taere, Geraldy Jeremia Tino Hermanto Tisa Amalia, Tisa Toha, Aura Ramadani Umilia Rokhani Waskito Waskito, Waskito Winardi, Lalu Deri Winni Astuti, Winni Yurisman Zainal Abadi Zuhri, Sya’bani