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All Journal Asian Journal of Social and Humanities Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Budi Tjahyono
Universitas Esa Unggul
Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

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Evaluation of IT Service Level Infrastructure In Organizations Using ITIL (Information Technology Infrastructure Library) Version 3 Standardization Achmad Randhy Hans; Gerry Firmansyah; Budi Tjahyono; Agung Mulyo Widodo
Asian Journal of Social and Humanities Vol. 2 No. 12 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i12.393

Abstract

The rapid development of business and advancements in information technology today are highly significant, especially in supporting the progress of ongoing businesses. Many businesses, particularly startups, make information technology the backbone supporting every main business process to achieve their business goals. Startups that operate 24/7 require sufficiently robust information technology, which must always be ready to provide the needed services to support the business. IT service assessment is an activity commonly carried out within an organization to eval_uate the level of information system services it possesses. An assessment, particularly an IT service assessment, can be conducted independently if the organization has adequate tools and is equipped with the correct standards. The eval_uation of information system services can be carried out using various standards, such as ITIL. In this research, the researcher will conduct an assessment using ITIL standards in the form of a website, which can serve as a tool. This website assessment application focuses on the domains of Service Management and Service Delivery, with the expectation that the services provided by PT Loyal.id will improve further.
Analisis Perbandingan Zero-Shot dan Fine-Tuning pada LLM Untuk Automated Essay Scoring Alexandria Felicia Seanne; Husnul Hadah; Yustika Heti Handal; Britney Levina Sukma; Budi Tjahyono
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 03 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i03.1452

Abstract

Automated Essay Scoring (AES) using Large Language Models (LLMs) is rapidly evolving, yet there remains a lack of studies comparing Zero-shot prompting and Fine-tuning approaches on open-weight LLM models. This study analyzes the comparison of these two approaches on the Qwen 2.5-1.5B-Instruct model using the ASAP-AES 2.0 dataset. The Zero-shot approach employs Role Prompting and Chain-of-Thought (CoT) techniques, while Fine-tuning uses Parameter-Efficient Fine-tuning (PEFT/LoRA). Evaluation was conducted using the Quadratic Weighted Kappa (QWK) and Root Mean Square Error (RMSE) metrics. The results show that the Zero-shot approach yields a QWK of 0.0069 with an extreme central tendency bias, while Fine-tuning yields a QWK of 0.3247 (fair agreement). These findings confirm that adapting a Fine-tuning approach is one way to produce a sufficiently accurate automatic essay grading system on small-scale open-weight models
Co-Authors Achmad Randhy Hans Alexandria Felicia Seanne Britney Levina Sukma Gerry Firmansyah Husnul Hadah Widodo, Agung Mulyo Yustika Heti Handal