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All Journal Arcitech: Journal of Computer Science and Artificial Intelligence Jurnal Elektronika dan Teknik Informatika Terapan
Fachrizal Fadhil Oktafian
Universitas Multi Data Palembang
Computer Science & IT

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Analisis IT Service Management (ITSM) Menggunakan Framework ITIL V4 pada PT. PBM Bahari Raharja Permai Fachrizal Fadhil Oktafian; Dicky Pratama
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 6 No. 1 (2026): June 2026
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v6i1.17251

Abstract

Information technology plays an important role in supporting organizational operations, including in the cargo handling and logistics sector. However, studies on the implementation of ITIL V4 in logistics companies that integrate ERP Orlansoft and Inventory Management applications remain limited. This study aims to analyze the maturity level of IT service management at PT. PBM Bahari Raharja Permai using the ITIL V4 framework. The research methods include observation, interviews, questionnaires distributed to 13 respondents, SWOT analysis, and RACI mapping. The analysis focuses on the domains of Service Desk, Incident Management, Monitoring and Event Management, and Continual Improvement. The novelty of this study lies in the application of the ITIL V4 framework to evaluate IT services in a cargo handling company utilizing ERP Orlansoft and Inventory Management applications to support its operations. The results indicate that all domains achieved Level 4 (Managed), with scores of 3.85 for Service Desk, 3.96 for Incident Management, 3.74 for Monitoring and Event Management, and 3.73 for Continual Improvement. These findings provide an important basis for improving IT service quality in a structured manner and serve as a reference for ITIL V4 implementation in the logistics sector.
Analisis Penggunaan AI Code Assistant terhadap Produktivitas Pemrograman Mahasiswa Universitas Multi Data Palembang Menggunakan Framework TTF Fachrizal Fadhil Oktafian; Siti Sheila Mozza Fatihah; Muhammad Aziz; Dicky Pratama
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 4 No. 1 (2026): Maret: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i1.1457

Abstract

The rapid development of Artificial Intelligence (AI) technology has influenced various fields, including programming activities among university students. One of the emerging technologies widely used in programming is the AI Code Assistant, which can assist users in writing code, understanding programming Syntax, and accelerating the Coding process. This study aims to analyze the use of AI Code Assistants on students’ programming productivity at Universitas Multi Data Palembang using the Task Technology Fit (TTF) framework. The research employed a quantitative method with a descriptive approach. Data were collected through questionnaires distributed to 35 students who had experience using AI Code Assistants in programming activities. The results indicate that AI Code Assistants have a high level of suitability for students’ programming tasks and are considered capable of improving Coding effectiveness and productivity. In addition, the technology assists students in Debugging programs and understanding programming Syntax more efficiently. However, excessive use of AI may also create dependency and reduce students’ ability to develop programming logic independently. Therefore, the use of AI Code Assistants should be balanced with a proper understanding of basic programming concepts.
Co-Authors Dicky Pratama Muhammad Aziz Siti Sheila Mozza Fatihah