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All Journal Bulletin of Computer Science Research Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Angel Caroline Billan
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Computer Science & IT

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Monitoring System Design Using GPS Tracker and Operational Vehicle Maintenance Case Study of PT. Pertamina (Persero) Angel Caroline Billan; Tata Sutabri
Uranus : Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 4 (2024): Desember: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/uranus.v2i4.481

Abstract

The Utilization of GPS and GSM technology in operational vehicle monitoring offers convenience and efficiency in management. This research designs a GPS-based vehicle monitoring system that is integrated with vehicle maintenance management to assist companies in making decisions related to fuel efficiency, predictive maintenance scheduling, and safety aspects. By monitoring vehicle position and condition in real-time, companies can optimize travel routes, reduce travel time and reduce operational costs. The system also includes tire pressure and fuel percentage monitoring, which serve as important indicators in an accurate and sustainable vehicle maintenance strategy. This research uses quantitative methods to analyze various aspects in designing a GPS-based monitoring system that is integrated with operational vehicle maintenance management. With the resulting data, managers are able to identify trends that support predictive maintenance as well as preventive steps to reduce the risk of sudden damage. The research results show that the integration of GPS and GSM provides significant benefits in improving performance and reliability for vehicles, especially in the distribution and logistics sectors. The implementation of this system is expected to support the company in maintaining optimal vehicle performance and contribute to operational sustainability.
Restorasi Penjadwalan Sumur Minyak Yang Mengalami Off-Time Menggunakan Algoritma Backtracking Dalam Upaya Optimasi Produksi Angel Caroline Billan; Tata Sutabri
Bulletin of Computer Science Research Vol. 5 No. 3 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i3.507

Abstract

Inefficient well restart scheduling is often caused by the limitations of conventional methods in handling operational and field complexity. This study proposes a solution in the form of implementing a backtracking algorithm in compiling an oil well restart schedule that is experiencing off-time. This algorithm is chosen because of its ability to systematically explore solutions through depth-first search and forward checking mechanisms to meet various operational constraints such as crew availability, geological conditions, and interconnectedness between wells. The purpose of this study is to develop a Constraint Satisfaction Problem (CSP)-based scheduling model that is able to minimize off-time and optimize resource utilization. The main contribution of this study is the integrative approach between the CSP model and the backtracking algorithm which has not been widely applied in the context of oil and gas operations. The interim results of simulations on historical data show that this method is able to reduce the average off-time by 25%, increase resource utilization efficiency by 28.6%, and accelerate the scheduling process by 66.7% compared to conventional methods. This approach shows significant potential in improving operational efficiency and supporting the digitalization of scheduling in the oil industry.
Co-Authors Tata Sutabri