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All Journal e-Journal BUDIDAYA PERAIRAN MATEMATIKA JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURIKOM (Jurnal Riset Komputer) Agro Bali: Agricultural Journal Jurnal ABDINUS : Jurnal Pengabdian Nusantara PENA AKUATIKA : JURNAL ILMIAH PERIKANAN DAN KELAUTAN Grouper: Jurnal Ilmiah Perikanan Sungkai Jurnal Lentera Pengabdian Educompassion: Jurnal Integrasi Pendidikan Islam Dan Global
Handayani, Rizky
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Boosting Methods for Multi-label Data Cyberbullying Farasalsabila, Fidya; Aritonang, Mhd Adi Setiawan; Jabnabillah, Faradiba; Moniva, Anip; Lestari, Verra Budhi; Handayani, Rizky
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8721

Abstract

Easy accessibility to the internet and social media allows individuals to communicate anonymously, providing opportunities for abusive and harmful behavior. The psychological impact of cyberbullying can be very detrimental, triggering stress, depression, and even causing more serious consequences such as suicide. This paper describes cyberbullying sentiment analysis with a focus on the use of four different boosting methods, namely Gradient Booster, Gradient Booster, XGBoost, AdaBoost, dan LightGBM on a multi-label public dataset covering 6 categories. The aim of this research is to compare and analyze the relative performance of these boosting methods in overcoming the challenges of multi-label sentiment analysis in the context of cyberbullying. Results reveal that XGBoost and LightGBM have a tendency to more effectively overcome the challenges of detecting cyberbullying in more complex categories, making a positive contribution to the development of superior detection systems in the context of multi-label sentiment analysis. This research contributes to the field by providing a comparative analysis of state-of-the-art boosting algorithms, highlighting their strengths in multi-label classification tasks, and offering practical insights for developing more accurate and reliable cyberbullying detection systems. The findings from this study are expected to serve as a reference for future development of machine learning-based tools that can help mitigate the psychological harm caused by online abuse, particularly in detecting subtle and complex forms of cyberbullying behavior.
Pelatihan Pembuatan Modul Ajar sebagai Upaya Implementasi Kurikulum Merdeka pada Guru SDN Jatirejo Kabupaten Kediri Wenda, Dhian Dwi Nur; Imron, Ilmawati Fahmi; Putri, Kharisma Eka; Sahari, Sutrisno; Kurnia, Ita; Permana, Erwin Putera; Damariswara, Rian; Handayani, Rizky; Wiganata, Siken Agil
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 7 No 3 (2023): Volume 7 Nomor 3 Tahun 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v7i3.21024

Abstract

Most of the elementary school teachers in the Kediri District, Mostly, have not been able to compile teaching modules for the independent curriculum. It is necessary to provide training in the preparation of teaching modules. The method used there are three stages, namely planning, implementation, and evaluation. The training went smoothly and well. The material provided was easily understood by 68.2% of the participants. As many as 45.5% of participants stated that the speaker was very clear. As many as 79.5% of participants required further training. In addition to containing percentages, the participants wanted a longer training time, added facilitators or companions for the training participants, and simplified the training material.
Co-Authors Ai’ni, Nurul Anita Trisiana, Anita Ariyanto, Catur Astuti, Aprianti Bambang Irawanto Bambang Wahyudi Budhi Lestari, Verra Butar-butar, Zuhilda Rahmayani Cahyo, D. Diffran Nur D. Diffran Nur Cahyo Damariswara, Rian Dhian Dwi Nur Wenda, Dhian Dwi Nur Djuwandi Djuwandi Eko Nursalim, Eko Erwin Putera Permana Febriani, Siska Fidya Farasalsabila Hasannah, Baiq Uswatun Imron, Ilmawati Fahmi Jabnabillah, Faradiba Khairunnisa, Surya Kurnia, Ita Layla, Khairani Lestari, Verra Budhi Lufita Nur Alfiah Marpaung, Dio Ardy Azhari Mhd Adi Setiawan Aritonang Moniva, Anip Muhammad Fadli Muhammad Nabil MUHAMMAD SURYA Nandariyah, Nandariyah Nurwati Parjanto Parjanto Putri Bb, Mutia S. Putri, Kharisma Eka Riyatun, Riyatun Rizah Rizwana Wahyuni Rumondang, Rumondang Sinaga, Awal Barokha siregar, umaiyu Suryoto Suryoto Sutarno Sutarno Sutrisno Sahari, Sutrisno Wiganata, Siken Agil