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All Journal SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Teknik Informatika (JUTIF)
Munna, Daurin Nabilatul
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Computer Science & IT Control & Systems Engineering Engineering

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TEKNOLOGI PROCESS AWARE INFORMATION SYSTEM (PAIS) MANAJEMEN EKSTRAKURIKULER UNTUK OTOMASI PEMANTAUAN KEGIATAN Munna, Daurin Nabilatul; Prasetyo, Gigih Agung; Maghfira, Aulia Ilmi; Yaqin, Muhammad Ainul
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 7 No 1 (2024): Jurnal SKANIKA Januari 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v7i1.3116

Abstract

Education in Indonesia, including in Malang City, has seen rapid development in recent decades. Extracurricular activities, as an integral part of education, offer students opportunities to develop skills, talents, and interests beyond the main curriculum. However, the current management of extracurricular activities is still manual and inefficient. To address this issue, we propose the implementation of a Process-Aware Information System (PAIS) to automate the monitoring of extracurricular activities. This system involves input such as school data, student data, and extracurricular data. The outputs include reports on extracurricular activities, student talents and interests, and school achievements. The process includes student registration for extracurricular activities, validation by administrators, activity scheduling, attendance monitoring, and reporting. This system is expected to efficiently and accurately monitor these activities. Through the PAIS workflow, we ensure more efficient and real-time management and monitoring of extracurricular activities. This system assists in improving extracurricular management, data accuracy, better decision-making, and time savings.
Performance Evaluation of Transformer Models: Scratch, Bart, and Bert for News Document Summarization Holle, Khadijah Fahmi Hayati; Munna, Daurin Nabilatul; Ekaputri, Enggarani Wahyu
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.2534

Abstract

This study evaluates the performance of three Transformer models: Transformer from Scratch, BART (Bidirectional and Auto-Regressive Transformers), and BERT (Bidirectional Encoder Representations from Transformers) in the task of summarizing news documents. The evaluation results show that BERT excels in understanding the bidirectional context of text, with a ROUGE-1 value of 0.2471, ROUGE-2 of 0.1597, and ROUGE-L of 0.1597. BART shows strong ability in de-noising and producing coherent summaries, with a ROUGE-1 value of 0.5239, ROUGE-2 of 0.3517, and ROUGE-L of 0.3683. Transformer from Scratch, despite requiring large training data and computational resources, produces good performance when trained optimally, with ROUGE-1 scores of 0.7021, ROUGE-2 scores of 0.5652, and ROUGE-L scores of 0.6383. This evaluation provides insight into the strengths and weaknesses of each model in the context of news document summarization.
Co-Authors Ekaputri, Enggarani Wahyu Ida Ayu Putu Sri Widnyani Khadijah Fahmi Hayati Holle Maghfira, Aulia Ilmi Prasetyo, Gigih Agung