Sanubari, Chalwat and Taufan, Keanu Fortuna (2025) Perancangan dan Implementasi Sistem Otomasi QA/QC Dokumen Engineering dan Virtual Tour. Project Report. [s.n.], [s.l.]. (Unpublished)
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Abstract
Manajemen aset dalam industri minyak dan gas memiliki proses bisnis yang kompleks mulai dari tahap perancangan hingga inspeksi operasional di lapangan. PT Pertamina Hulu Rokan (PHR) menghadapi tantangan dalam pengelolaan dokumen proyek yang masih dilakukan secara manual serta keperluan untuk mengunjungi lapangan meskipun tidak diperlukan proses inspeksi detail pada aset. Untuk mengatasi permasalahan ini, dikembangkan sistem otomasi berbasis kecerdasan buatan (AI) dan pemrosesan citra guna meningkatkan efisiensi serta akurasi dalam proses QA/QC dokumen serta virtual tour sebagai media alternatif yang dapat digunakan PHR dalam menampilkan aset fisik secara virtual. Implementasi dan pengujian kedua komponen menunjukkan hasil yang positif. Sistem otomasi QA/QC berhasil memvalidasi dokumen dengan akurasi deteksi nomor dokumen mencapai 93.67%, membuktikan kemampuannya untuk meningkatkan efisiensi dan akurasi. Prototipe virtual tour juga berhasil divalidasi sebagai platform inspeksi jarak jauh yang fungsional, aman, dan efisien.
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Asset management in the oil and gas industry involves complex business processes, ranging from the design stage to operational field inspections. PT Pertamina Hulu Rokan (PHR) faces challenges in project document management, which is still carried out manually, as well as the need to visit the field even when detailed asset inspections are not required. To address these issues, an automation system based on artificial intelligence (AI) and image processing was developed to improve efficiency and accuracy in the QA/QC document process, along with a virtual tour as an alternative medium that PHR can use to showcase physical assets virtually. The implementation and testing of both components showed positive results. The QA/QC automation system successfully validated documents with a document number detection accuracy of 93.67%, demonstrating its ability to improve efficiency and accuracy. The virtual tour prototype was also successfully validated as a functional, safe, and efficient remote inspection platform.
| Item Type: | Monograph (Project Report) |
|---|---|
| Uncontrolled Keywords: | deteksi logo, manajemen aset, optical character recognition, virtual tour, logo detection, asset management |
| Subjects: | T Technology > T Technology (General) > T58.6 Management information systems |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis |
| Depositing User: | Chalwat Sanubari |
| Date Deposited: | 02 Oct 2025 07:24 |
| Last Modified: | 02 Oct 2025 07:24 |
| URI: | http://repository.its.ac.id/id/eprint/128494 |
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