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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Transformasi: Jurnal Pengabdian Masyarakat Kitektro Elkawnie CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Cyberspace: Jurnal Pendidikan Teknologi Informasi Jurnal Infomedia Zero : Jurnal Sains, Matematika, dan Terapan Jurnal Serambi Engineering Jurnal Nasional Komputasi dan Teknologi Informasi Progresif: Jurnal Ilmiah Komputer Djtechno: Jurnal Teknologi Informasi Jurnal Riset dan Pengabdian Masyarakat JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Journal of Information Technology (JINTECH) Prosiding Seminar Nasional Universitas Serambi Mekkah Jurnal Komunikasi Global Jurnal Teknologi Informasi J-SIGN (Journal Of Informatics, Information System, And Artificial Intelligence) Media Elektrik
Hendri Ahmadian
Universitas Islam Negeri Ar-Raniry Banda Aceh
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Klasifikasi Named Entity Recognition (NER) Pada Cerita Pendek Bahasa Indonesia Menggunakan Model Indobert Nazifa Samsurizal; Hendri Ahmadian; Nurrizqa Nurrizqa
Progresif: Jurnal Ilmiah Komputer Vol. 22 No. 3 (2026): Juli
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i3.3731

Abstract

Entity recognition in Indonesian short stories requires a model capable of understanding narrative language context effectively. This study aimed to implement the IndoBERT model for the Named Entity Recognition (NER) task to identify Person, Location, and Organization entities. The dataset was obtained from the Majalah Bobo e-book and organized using the BIO (Begin, Inside, Outside) format. The research included pre-processing, tokenization, label encoding, token alignment, and fine-tuning using the AutoModelForTokenClassification model. Evaluation was conducted using precision, recall, and F1-score metrics. The results showed that IndoBERT achieved F1-scores of 0.95 for Person, 0.81 for Organization, and 0.75 for Location, with a weighted average F1-score of 0.90. These results indicated that IndoBERT performed entity recognition effectively on Indonesian short stories. Keywords: Named Entity Recognition; IndoBERT; Indonesian short stories; Natural Language Processing; Transformer.    Abstrak Pengenalan entitas pada cerita pendek bahasa Indonesia memerlukan model yang mampu memahami konteks bahasa naratif secara efektif. Penelitian ini bertujuan menerapkan model IndoBERT pada tugas Named Entity Recognition (NER) untuk mengenali entitas Person, Location, dan Organization. Dataset diperoleh dari e-book Majalah Bobo dan disusun menggunakan format BIO (Begin, Inside, Outside). Penelitian dilakukan melalui tahapan pre-processing, tokenisasi, label encoding, token alignment, dan fine-tuning menggunakan model AutoModelForTokenClassification. Evaluasi dilakukan menggunakan metrik precision, recall, dan F1-score. Hasil pengujian menunjukkan bahwa model IndoBERT memperoleh nilai F1-score sebesar 0.95 pada label Person, 0.81 pada Organization, dan 0.75 pada Location, dengan weighted average F1-score sebesar 0.90. Hasil tersebut menunjukkan bahwa IndoBERT mampu melakukan pengenalan entitas dengan baik pada cerita pendek bahasa Indonesia. Kata kunci: Named Entity Recognition; IndoBERT; cerita pendek bahasa Indonesia; Natural Language Processing; Transformer.
RANCANG BANGUN SISTEM PRESENSI SISWA PADA MAS DARUL AMAN ACEH BESAR BERBASIS YOLOv8 Novi Nurfariza; Malahayati; Hendri Ahmadian
Journal of Information Technology Vol. 7 No. 2 (2026): Agustus 2026
Publisher : Prodi Teknologi Informasi UIN Ar-Raniry Bekerjasama dengan Pusat Penelitian dan Penerbitan LP2M Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/jintech.v7i2.9981

Abstract

Abstract: The advancement of computer vision technology has created new opportunities in developing face recognition-based attendance systems. This study aims to design and implement a student attendance system at MAS Darul Aman Aceh Besar using YOLOv8 for face detection and FaceInsight for face recognition. The system is developed as a web-based application using the Laravel framework, integrated with a Flask service to handle the face detection process. Student data and attendance records are stored in a MySQL database, while the user interface is built using Blade Template Engine and TailwindCSS. System evaluation is conducted through black-box testing and accuracy testing of face recognition. The results indicate that the system is capable of detecting and recognizing faces automatically with an accuracy rate of up to 96%, while also recording attendance in real time. This implementation is expected to improve efficiency, enhance data accuracy, and reduce the possibility of attendance fraud in the school environment. Keywords: Attendance, YOLOv8, Laravel, FaceInsight, Face Recognition Abstrak: Perkembangan teknologi computer vision telah mendorong inovasi dalam sistem presensi berbasis pengenalan wajah. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem presensi siswa pada MAS Darul Aman Aceh Besar dengan memanfaatkan algoritma YOLOv8 untuk deteksi wajah dan FaceInsight untuk proses pengenalan wajah. Sistem dikembangkan berbasis web menggunakan framework Laravel yang terintegrasi dengan Flask sebagai layanan pemrosesan deteksi wajah. Data siswa dan presensi disimpan dalam basis data MySQL, sedangkan antarmuka dibangun menggunakan Blade Template Engine dan TailwindCSS. Metode pengujian yang digunakan adalah black-box testing serta pengujian akurasi pengenalan wajah. Hasil penelitian menunjukkan bahwa sistem mampu melakukan deteksi dan identifikasi wajah secara otomatis dengan tingkat akurasi mencapai 96% serta mampu mencatat kehadiran secara real-time. Implementasi sistem ini diharapkan dapat meningkatkan efisiensi dan mengurangi potensi kecurangan dalam proses presensi siswa. Kata kunci: Presensi, YOLOv8, Laravel, FaceInsight, Pengenalan Wajah.
Co-Authors Abd Mujahid Hamdan Andika Prajana Aulia Sabri Aulia Syarif Aziz Bahagia Bahagia Basrul Abdul Majid Basrul Basrul Bustami Bustami Bustami Bustami Bustami Bustami Bustami Yusuf Dedi Satria Firmansyah Firmansyah Futry Rizkhayani Haji Putra Hasrat Efendi Samosir Hendy Mizuardy Heni Pujiastuti Ibnu Sa'dan Ima Dwitawati Isnan Bajili Khairan AR Khairani, Ulfia Khalisatun Munawwarah M. Arif Rahman Maisura, Mira Malahayati Malahayati Malahayati Malahayati Malahayati Maria Ulfa Masrura Mailany Mira Maisura Muftizar Muftizar Muhammad Zaeki Mutiawani, Viska Nasihah, Aesha Durratul Nazifa Samsurizal Nina Mardiana (F01108057) Novi Nurfariza Nurahla Nurahla Nurrizqa Nurrizqa Piana, Arma Rahmad Surya Rahmat Musfikar Raysa Vanya Samsulrizal Ridwan Ridwan Rike Mahara Safrijal Kurniawan Sri Wahyuni Sri Wahyuni Sulaiman Aula Syahril Furqany Syahrul Safwanda Yusnadi MS Yusran Asnawi Zelvi Gustiana Zulfan Zulfan Zumara, Muzammil