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All Journal Jurnal Teknik Mesin, Industri, Elektro dan Informatika
Mahendra Gilang Saputra
Universitas Multi Data Palembang
Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Analisis Perencanaan Strategis Sistem Informasi dan Teknologi Informasi Menggunakan Metode Ward and Peppard pada PT Pro Energi Mahendra Gilang Saputra; Dafid Dafid
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 5 No. 2 (2026): Jurnal Teknik Mesin, Industri, Elektro dan Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v5i2.6101

Abstract

The rapid development of information technology encourages companies to implement integrated information systems aligned with business strategies. PT Pro Energi, as an industrial diesel fuel distribution company, faces several challenges, including suboptimal system integration, delays in operational data synchronization, and limited real-time information to support distribution processes and decision-making. This study aims to develop a Strategic Information Systems and Information Technology Planning at PT Pro Energi using the Ward and Peppard method. The research applies a qualitative approach with data collection techniques consisting of observation, interviews, and documentation studies. The analytical tools used include SWOT, Value Chain, PEST, and McFarlan Strategic Grid to identify internal and external business conditions and map the application portfolio. The results indicate that PT Pro Energi requires the development of information systems strategy, information technology strategy, and IS/IT management strategy in an integrated manner. The recommendations include the development of a distribution system integration platform, strengthening technology infrastructure, improving data security, and preparing an IS/IT development roadmap as a long-term implementation guideline. The implementation of this strategic planning is expected to improve operational efficiency, enhance distribution service quality, and support more effective data-driven decision-making.
Co-Authors Dafid