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All Journal Journal of Educational Science and Technology Jurnal Paedagogy Syntax: Journal of Software Engineering, Computer Science and Information Technology Decode: Jurnal Pendidikan Teknologi Informasi Journal of Educational Sciences Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Jurnal Pengabdian Masyarakat Bangsa Journal of Applied Informatics Science Academia Open
Septiadi, Jaka
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XSentiment-HS: Hierarchical CNN-BiGRU-SVM with Explainable for Indonesian Multi-Level Hate Speech Detection Khayatun Nufus, Gina; Nufus, Gina Khayatun; Dewantara, Rizki; Susanto, Ardi; Sokid; Farhatuaini, Lia; Septiadi, Jaka; Akbar, Mohammad Raihan
Journal of Applied Informatics Science Volume 2 Issue 1 (2026)
Publisher : GWS Tech Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65897/jais.v2.i1.81

Abstract

Deteksi ujaran kebencian pada media sosial menuntut interpretasi teks yang kompleks karena sifatnya yang spontan dan ambigu, terutama dalam bahasa Indonesia yang kaya akan slang. Tantangan utama saat ini adalah keterbatasan penelitian sebelumnya yang mayoritas hanya melakukan klasifikasi biner tanpa mendeteksi tingkat keparahan konten. Penelitian ini mengusulkan XSentiment-HS, sebuah model deep learning hierarkis dua tahap untuk deteksi multi-tingkat hate speech. Arsitektur model menggabungkan Convolutional Neural Networks (CNN) untuk ekstraksi fitur lokal dan Bidirectional Gated Recurrent Unit (BiGRU) untuk menangkap ketergantungan kontekstual jangka panjang. Model ini juga diperkuat dengan mekanisme Multi-Head Attention dan Support Vector Machine (SVM) sebagai classifier final. Melalui integrasi ini, XSentiment-HS diharapkan mampu mengatasi tantangan ekstraksi fitur dan polisemi secara lebih efektif dibandingkan metode konvensional.
Pengaruh Tes Kemampuan Akademik (TKA) terhadap Minat Belajar Siswa Kejuruan Teknik Komputer dan Jaringan Iman, Ahmad Sayyidul; Septiadi, Jaka
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 6 No. 1: MARET 2026
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v6i1.1641

Abstract

This study examines the influence of the Academic Ability Test (TKA) on the learning interest of Computer and Network Engineering (TKJ) students at SMKS TI Muhammadiyah Cikampek. Using a quantitative correlational design, data were collected from 109 students via official TKA score documentation and a 15-item Likert-scale learning interest questionnaire (Cronbach’s α = 0.8256). Simple linear regression analysis revealed no significant effect of the TKA on students’ learning interest (t = 1.505; p = 0.135 > 0.05), with R² = 0.021, indicating that TKA scores account for only 2.1% of interest variance. The findings suggest that vocational students’ learning interest is driven primarily by practical relevance and career motivation rather than standardized academic assessment performance. This study contributes empirical evidence on the disconnect between general academic standardization and the affective dimensions of vocational learners in the Indonesian context, underscoring the need for contextually aligned evaluation instruments in vocational education.
Co-Authors Akbar, Mohammad Raihan Alifah, Aisyah Husna Ardi Susanto Ari Hidayatulloh, Beni Arrumaisha, Nissa Barri, Muhamad Akda Fathul Dadari, Nabiilah Lintang Dedi Rohendi Dewantara, Rizki Dian Permata Sari Farhatuaini, Lia Hanifatunnisa, Fitri Azzahra Herawati, Nadia Herliana, Ikeu Hikmawan, Rizki Iman, Ahmad Sayyidul Khayatun Nufus, Gina Lana, Muhammad Isfa' Myrna Dwi Rahmatya Nufus, Gina Khayatun Permatasari, Ainun Rahma Maulida, Rahma Sokid Solihatunnisa, Astuti Suprih Widodo, Suprih Wicaksono, Mochamad Fajar Yuniar, Rani