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All Journal Journal of Information Systems and Informatics Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer
Billan, Angel Caroline
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Computer Science & IT

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Perancangan Sistem Pelaporan Harian Menggunakan Metode SDLC Pada Stasiun Pengumpul Minyak dan Stasiun Kompresor Gas Ainna Khansa; Billan, Angel Caroline; Tata Sutabri
Bulletin of Computer Science Research Vol. 5 No. 1 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i1.442

Abstract

Current information delivery can be delivered through a system adopted by the company to assist in the company's performance process. One of the systems needed by the company is a reporting system that is used as an effective channel for delivering company data information results. The problem that occurs is that many company employee performance processes are considered inefficient in carrying out the reporting process. Company reporting using Hand Talky (HT) and Radio Link, is considered vulnerable to inaccuracy between data and communication barriers. To adopt a system technology in a large-scale company, of course the system must be easy for users to use and the process is fast. The solution produced for this problem is to design a daily reporting system using the SDLC (System Development Life Cycle) method. This design aims to apply the SDLC (System Development Life Cycle) method to the design of a system that can provide information remotely, provide real-time data updates, and present data in a more structured format for data management. This system is designed to automate the data backup process to reduce manual intervention in company data security. The proposed system is expected to increase the efficiency of operational activities in achieving company targets and improve overall performance in the company's data reporting process. The use of the SDLC method approach by researchers in designing a reporting system has been proven to accelerate system design. The results of the study showed that the design of this system was able to reduce reporting time by 50%, increase data accuracy by 40%, and provide significant user satisfaction.
Perancangan Prototype UI/UX Pada Pelacak Kendaraan Operasional Dengan Menggunakan Metode Design Thinking (Studi Kasus Penerapan Pada Instansi BUMN) Billan, Angel Caroline; Dedy Kurniawan; Ahmad Rifai; Putri Eka Sevtiyuni; Allsela Meiriza
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1843

Abstract

Delivery of information and presentation of data can be delivered through applications that are implemented to help create a system based on company needs. This problem occurs because the government has more than 400,000 applications and each ministry/institution has around 24,000 applications. Many applications in companies do not operate multifunctionally because they are considered to be inconvenient and inefficient to use, thus causing the applications to become unused in companies. To develop a new system that will be implemented in a company, of course you want the application to be used continuously by users. One way to correct this error is to create a good UI/UX that can be adopted by the company by involving a deep understanding of the user and organizational goals. The resulting solution to overcome this problem was a UI/UX design at PT. Pertamina Hulu Rokan Regional 1 Zone 4 Field Limau which was designed in the form of a design prototype using the design thinking method. The main goal of making a UI/UX prototype is to improve the user experience at the company by meeting the company's needs for designing operational vehicle tracking applications. The final results of this research use the design thinking method and user experience questionnaire (UEQ) as testing to determine whether the response tends to be positive or negative from users. The results of the trial on the prototype received an "Excellent" score with a success rate for designing the UI/UX prototype application for PT's operational vehicle tracker. Pertamina Hulu Rokan Regional 1 Zone 4 Field Limau
Oil and Gas Production Forecasting Based on LSTM Model: A Case Study of PT Pertamina Hulu Rokan Zone 4 Billan, Angel Caroline; Ependi, Usman
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1285

Abstract

This study addresses the critical need for accurate oil and gas production forecasting to support strategic decision-making in Indonesia’s energy sector. PT Pertamina Hulu Rokan Zone 4 (PHR Zona 4), a key player in national energy production, frequently encounters technical and external operational challenges. To tackle these issues, this research proposes a deep learning-based predictive model using the Long Short-Term Memory (LSTM) architecture, structured in an encoder-decoder format and enhanced with an attention mechanism. The model was trained and tested on historical oil and gas production data from PHR Zona 4, evaluated under two data-splitting scenarios: 80:20 and 90:10. Model performance was assessed using Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and the coefficient of determination (R²). Results from the 80:20 scenario showed RMSE of 5.83, MAE of 5.54, MAPE of 1.71%, and R² of -1.97, suggesting difficulties in capturing extreme data fluctuations. However, the 90:10 scenario demonstrated significantly improved performance with RMSE of 0.42, MAE of 0.36, MAPE of 0.11%, and R² of 0.00, indicating better trend prediction stability. The novelty of this study lies in the integration of attention mechanisms within the LSTM encoder-decoder framework for oil and gas time series forecasting, offering enhanced accuracy and robustness. This research provides a valuable foundation for future improvements in predictive analytics and operational efficiency in the oil and gas industry.
Co-Authors Ahmad Rifai Ainna Khansa Allsela Meiriza, Allsela Dedy Kurniawan Putri Eka Sevtiyuni Tata Sutabri Usman Ependi