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All Journal Jurnal Bisnis dan Manajemen JURNAL PENDIDIKAN EKONOMI: Jurnal Ilmiah Ilmu Pendidikan, Ilmu Ekonomi dan Ilmu Sosial JOIV : International Journal on Informatics Visualization Jurnal Manajemen Indonesia COMPTON: Jurnal Ilmiah Pendidikan Fisika Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan Jurnal Ilmiah Edunomika (JIE) Journal of Applied Data Sciences International Journal of Education, Social Studies, And Management (IJESSM) TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Jurnal Didactical Mathematics Annals of Human Resource Management Research Polinomial : Jurnal Pendidikan Matematika Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Pengabdian Masyarakat Bangsa Journal International Dakwah and Communication Jurnal Teologi Pambelum Jurnal Rekayasa Sistem Informasi dan Teknologi Journal of Information Systems Management and Digital Business Journal of Management and Innovation Entrepreneurship (JMIE) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Kesehatan Bakti Tunas Husada SANISKALA: Jurnal Pengabdian Masyarakat Jurnal Mediasas : Media Ilmu Syari'ah dan Ahwal Al-Syakhsiyyah Jurnal Pengabdian Masyarakat Ilmu Komputer Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Digital Jurnal Ekonomi, Bisnis dan Manajemen Ijarme
Sudianto, Sudianto
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Journal : Jurnal Informatika: Jurnal Pengembangan IT

 1 
Analisis Komparasi Algoritma Machine Learning untuk Sentiment Analysis (Studi Kasus: Komentar YouTube “Kekerasan Seksual”) Soemedhy, Chandra Ayunda Apta; Trivetisia, Nora; Winanti, Nawang Anggita; Martiyaningsih, Dwi Puspa; Utami, Tri Wulandari; Sudianto, Sudianto
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 2 (2022)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i2.3547

Abstract

Cases of sexual violence in the last decade have been rampant in Indonesia. Cases of sexual violence are increasingly exposed, along with the increasing use of social media. One of them is violence against women. Cases of sexual violence often cause various kinds of stigma in the community, so this study aims to determine the public's response to cases of sexual harassment using sentiment analysis. The data used is sourced from YouTube comments with the title "Kasus Bunuh Diri NW: Bripda Randy Tersangka, Penanganan Polisi Dikritik | Narasi Newsroom." The method used is Machine Learning algorithms such as the SVM algorithm, Naive Bayes, and Random Forest. The results of comparing the three Machine Learning algorithms, Random Forest, obtained the best accuracy rate of 78% compared to the other two algorithms in conducting sentiment analysis on YouTube comments about sexual harassment discussions.
Klasifikasi Judul Berita Clickbait menggunakan RNN-LSTM Afandi, Widi; Saputro, Satria Nur; Kusumaningrum, Andini Mulia; Adriansyah, Hikari; Kafabi, Muhammad Hilmi; Sudianto, Sudianto
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 2 (2022)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i2.3401

Abstract

Amid technological developments, online news of various life topics is shared across various platforms. Many media often take advantage of this opportunity by uploading their news on several online platforms to increase the traffic and rankings they upload to make much profit. However, many online media attract readers' attention by exaggerating the headlines or news headlines they upload. That way, the news title is often not by the content of the news. This phenomenon is commonly known as "clickbait" among the public. The media usually do this to increase traffic, rankings, and finances. Therefore, this study classified the news with clickbait and non-clickbait titles using the RNN-LSTM architecture. In this study, the classification of clickbait news titles uses the RNN-LSTM architecture. The classification results obtained calculation accuracy of 79% on training data and 77% accuracy on test data.
Co-Authors Abdul Hamid ABDUL HAMID Adriansyah, Hikari Afandi, Widi Agus Rofi’i Akhmad, Fajar Kamaludin Alfani, Mufti Hasan Anang Martoyo Andi Amang Andika Prasetya Nugraha Angela, Maria Apriana Audina, Silfi Baharudin, Muhammad Yusuf Saaih Budhi, Widodo Dede Salim Nahdi Dedy Agung Prabowo Dewi Permata Sari Dewi, Susantriana Djunaedi Djunaedi Dyah Kurniawati, Ajeng Erlangga, Muhammad Fadlililah, Andi Hidayatul Fauziah, Inayah Firdaus Firdaus Hamzah, Zulfadli Hendayana, Alya Fatihah Humaira, Novida Iik Nurhikmayati, Iik Insiyah, Cici' Irwan Irwan Ismayanti , Syifa Jamahsyari, Yolan Faiz Jatisunda, Moh Gilar Julia, Rida Kafabi, Muhammad Hilmi Kartiwa, Cece Enjang Kusumah, Firdan Gusmara Kusumaningrum, Andini Mulia Laelasari Laelasari, Laelasari LILIK BUDIPRASETYO Listyani , Elfa Maesaroh , Nita Mahmudin, Dede Maleh, D.Th, Kinurung Maleh, Kinurung Maria, Hana Diana Marsally, Silvia Van Martiyaningsih, Dwi Puspa Martoyo, Anang Muhamad Azrino Gustalika Muhammad Arif Mulyadi Mulyadi Muna, Bunga Laelatul Ni’amah, Khoirun Nugraha, Jeffy Nuraini, Putri Nurfaeda , Sofia Muawalina Pamungkas, Adie Pebrianti, Yesi Utami Rachman, Ari Rakhma, Nazwa Aulia Ramdiani , Rani Ripaldi Rohaeti, Titi Rohimatunisa, Dela Sabri Sabri Santoso, Erik Saputro, Satria Nur Soemedhy, Chandra Ayunda Apta Sri Mulyani Nurfazriyah Sudi, Mohamad Suhada, Karya Sulastri, Desi sumardin, sumardin Supriyadi Supriyadi Suriadi Suriadi Sutopo Sutopo Trivetisia, Nora Usman, Muhammad Lulu Latif Utami, Tri Wulandari Vici Suciawati Wibowo, Rohim Isnain Septian Wicaksono, Apri Pandu Winanti, Nawang Anggita Wulandari, Dewi Eka Yaqin, Silpi Syamrotul Zulkifli Zulkifli