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KHAIRUL HUDA, KHAIRUL
Universitas Negeri Jakarta
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Improved Text Classification for Indonesian Hate Speech Detection: FastText-LSTM Model with Easy Data Augmentation Wicaksana, Hilman Singgih; Huda, Khairul; Airlangga, Gregorius
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9637

Abstract

The swift expansion of social media in Indonesia has led to a significant rise in hate speech, highlighting the urgent need for effective automated detection techniques. This research evaluates the performance of the proposed FastText-Long Short-Term Memory with Easy Data Augmentation (FastText-LSTM-WE) compared with the baseline model, FastText-Convolutional Neural Network with Easy Data Augmentation (FastText-CNN-WE). To further investigate the impact of data augmentation, the effectiveness of both FastText-Long Short-Term Memory without Easy Data Augmentation (FastText-LSTM-WO) and FastText-Convolutional Neural Network without Easy Data Augmentation (FastText-CNN-WO) was also assessed. Bayesian Optimization was employed to identify the best hyperparameter configurations for each model. The experiments were carried out on a dataset comprising 14,306 samples while maintaining consistent experimental conditions. Model performance was measured using precision, recall, F1-score, and accuracy derived from the confusion matrix. The results indicate that FastText-LSTM-WE achieved the highest performance, with precision, recall, F1-score, and accuracy of 84.02%, 83.16%, 83.59%, and 81.37%, respectively. These findings demonstrate that the proposed model provides a robust and reliable solution for detecting hate speech within the Indonesian context, thereby improving automated content moderation systems in practical applications.
PENGARUH TEKNIK MODELING TERHADAP TINGKAT KEJENUHAN BELAJAR PESERTA DIDIK ZN, Desty Humairo’; Mustakim, Mustakim; Huda, Khairul
SECONDARY: Jurnal Inovasi Pendidikan Menengah Vol. 5 No. 4 (2025)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/secondary.v5i4.10926

Abstract

ABSTRACT Learning burnout is one of the common problems experienced by students due to academic pressure, monotonous learning methods, and a lack of support from the learning environment. These conditions can reduce students’ motivation, concentration, and engagement in the learning process. This study aims to analyze the effect of the modeling technique on students’ learning burnout at SMP IT Liddarain NW Tangar in the 2023/2024 academic year. The study employed a quantitative approach using a one group pre-test and post-test design. Data were collected through questionnaires as the primary instrument, while observation, interviews, and documentation were used as supporting data collection techniques. The research sample consisted of 5 students selected through a purposive sampling technique based on their level of learning burnout. Data analysis was conducted using the t-test to determine changes in students’ learning burnout after the implementation of the modeling technique. The findings revealed that the application of the modeling technique helped reduce students’ learning burnout, as indicated by changes in attitudes, increased learning motivation, and more active student participation during the learning process. These findings indicate that the modeling technique can serve as an effective guidance and counseling strategy to help students overcome learning burnout and improve academic engagement at school. ABSTRAK Kejenuhan belajar menjadi salah satu permasalahan yang sering dialami siswa akibat tekanan akademik, metode pembelajaran yang monoton, serta kurangnya dukungan lingkungan belajar. Kondisi tersebut dapat menurunkan motivasi, konsentrasi, dan keterlibatan siswa dalam proses pembelajaran. Penelitian ini bertujuan untuk menganalisis pengaruh teknik modeling terhadap kejenuhan belajar siswa di SMP IT Liddarain NW Tangar Tahun Pelajaran 2023/2024. Penelitian menggunakan pendekatan kuantitatif dengan desain one group pre-test and post-test. Pengumpulan data dilakukan melalui angket sebagai instrumen utama, sedangkan observasi, wawancara, dan dokumentasi digunakan sebagai data pendukung. Sampel penelitian terdiri atas 5 siswa yang dipilih menggunakan teknik purposive sampling berdasarkan tingkat kejenuhan belajar yang dialami siswa. Analisis data menggunakan uji t-test untuk mengetahui perubahan tingkat kejenuhan belajar setelah diberikan perlakuan teknik modeling. Hasil penelitian menunjukkan bahwa penerapan teknik modeling mampu membantu siswa mengurangi kejenuhan belajar yang ditunjukkan melalui perubahan sikap, meningkatnya motivasi belajar, serta keterlibatan siswa yang lebih aktif selama proses pembelajaran. Temuan ini mengindikasikan bahwa teknik modeling dapat menjadi salah satu strategi layanan bimbingan dan konseling yang efektif dalam membantu siswa mengatasi kejenuhan belajar dan meningkatkan kualitas keterlibatan akademik di sekolah.
Co-Authors Abda Abda Ahmad Muzanni Airlangga, Gregorius Akbar, Muhammad Farid Akmal, Muhammad Farras Al Karim Rambe, Rahmansyah Fadlul Ali Amran Amalia, Arfika Meidina Amalia, Farah Amni, Nur Hidayatul Anam, M. Chairul Astuti, Farida Herna Baehaqi Baiq Sarlita Kartiani, Baiq Sarlita Kartiani Bhakti, Baily Diaz Nizaldi Dennis, Gilbert Rayi Derza Polas, Caesaredo Devi, Santi Dina Fahira Dwi Indah Iswanti Dwicahya Putra, Hervico El-Hakim, Muhammad Yusril Febriana, Esra Fery Agusman Motuho Mendrofa Firmansyah, Dandy Ghassani, Aldyth Gilang Ramadhan Gunawan, I Made Sonny Gunawan, Made Hadi, M. Samsul Hadiyaturido, Hadiyaturido Hadiyaturridho, Hadiyaturridho Hadiyaturrido Herlina, Youfih Husnus Sawab Indo Santalia Intan Dwi Hastuti Irmawati Irmawati Ivan, Teuku Jatiningtyas, Noor Aini Kholisussa'di Kholisussa'di Kusmawati, Ruhil Kusnadi Laura Sabrina, Ratih Mardani, Santika Putri Mardiansyah, Andri Maryati, Rohana Maulana, Adithiajaya Muftiadi, Muftiadi Muhamad Dias, Muhamad Dias Mujahidah, Sa'adah Mujiburrahman Mujiburrahman Mujmal Mursidah Musra, Fauziyyah Mustakim Mustakim Mustakim, Ichwanul Muzakkir Muzakkir Nh. Salsabiela Novawan, Angga Nurul Iman, Nurul Pohan, Sry Dhina Pratama, Riqfi Aditya Prawita, Tiwidian Puja, Dewi Purmadi, Ary Rachmadhika, Galang Rahmanda, Rizky Rahmawati, Novie Ramadhiyani, Tyesha Rapi, Muh Ridwan, Nasrullah Rohayati, Ati Sandi Romy, Achmad Sa'di, Kholisus Saenong, M. Kafrawy Safira, Resi Sari, Patricia Widya Sarilah, Sarilah Sawab Sawab Setiawan, Muhammad Rinaldy Shalsabila Fauzana, Tiara Soraya, Egiana Sri Hartati Sugiharto, Dede Lucky Sulastri, Melati Sutarto Sutarto Suzanna Ndraha Syamsuddin Syamsuddin Syauqi, Muhammad Tjahjadinata, Ruddy Ula, Amalia Jumadil Ulwan, T.M. Inayatul Usman Jafar Wicaksana, Hilman Singgih Wicaksono, Galih Adi Winata, Aliahardi Zhafira, Nurisya Ghina ZN, Desty Humairo’