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All Journal International Journal of Evaluation and Research in Education (IJERE) Jupiter Jurnal Simetris Jurnal Informatika JSI: Jurnal Sistem Informasi (E-Journal) International Conference on Engineering and Technology Development (ICETD) Jurnal Ilmu Komputer dan Agri-Informatika Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Sisforma: Journal of Information Systems Jurnas Nasional Teknologi dan Sistem Informasi Journal of Information Systems Engineering and Business Intelligence Register: Jurnal Ilmiah Teknologi Sistem Informasi KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) International Journal of Artificial Intelligence Research Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Sains dan Informatika Jurnal Ilmiah Matrik JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Mantik Journal of Information Systems and Informatics Jurnal Abdi Insani Jurnal Teknologi Informatika dan Komputer Journal of Software Engineering Ampera Djtechno: Jurnal Teknologi Informasi Formosa Journal of Computer and Information Science JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Jurnal Informatika: Jurnal Pengembangan IT Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat Journal Digital Technology Trend
Usman Ependi
Universitas Bina Darma
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Other

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Oil and Gas Production Forecasting Based on LSTM Model: A Case Study of PT Pertamina Hulu Rokan Zone 4 Angel Caroline Billan; Usman Ependi
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.
Implementasi Naïve Bayes untuk Menentukan Menu Makanan Favorit (Studi Kasus: Pindang Umak KM 10) Rika Ardila; Usman Ependi; Nyimas Sopiah; Firamon Syakti
Journal Digital Technology Trend Vol. 5 No. 2 (2026): December
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jdtt.v5i2.478

Abstract

This study aims to implement the Naïve Bayes algorithm to classify food menus into "Favorite" and "Not Favorite" categories based on historical sales data at Pindang Umak KM10. The dataset consists of 275 sales records, divided into 80% (220 records) for training data and 20% (55 records) for testing data. The attributes used in the classification process include menu name, menu category, and quantity sold. The classification stages comprise data preprocessing, data splitting into training and testing sets, and the calculation of prior probability, likelihood, and posterior probability. The Naïve Bayes model was subsequently implemented in a web-based application developed using PHP and MySQL. The evaluation on 55 test records showed that 40 records were correctly classified, whereas 15 records were misclassified, achieving an accuracy of 72.73%, precision of 61.11%, recall of 95.65%, and an F1-score of 74.58%. These results indicate that the Naïve Bayes algorithm can classify food menus based on sales data patterns, thereby providing empirical support for menu management at Pindang Umak KM10. 
Co-Authors Abel Arisandi Ade Putra Ade Putra Ainna Khansa Angel Caroline Billan Ari Muzakir Ari Wibowo Arjun, Jennifer Berlianti, Marutha Chairul Mukmin Darius Antoni Dedi Irawan Edi Surya Negara Evi Yulianingsih Faiz Zulkifli Fatin Syamilah Che Yob Febriyanti Panjaitan Febriyanti Panjaitan Ferdiansyah Ferdiansyah Firamon Syakti Firamon Syakti, Firamon Fitri Purwaningtias Gege Ardiyansyah Geoffrey Rhoel C. Cruz Haidar Mirza, A. Haidar Mirza, Ahmad Hamim Tezar Rizandi Heri Suroyo Hutrianto Irwansyah Irwansyah Kisworo, Marsudi Wahyu Kurniawan, Tri Basuki Lim Seong Pek Lora Ersitha M Aswadi M. Octa Prasetya M.Robi Maulana Mikko Mikko Muhammad Hafid Alfarisi Muhammad Haikal Muhammad Izman Herdiansyah Muhammad Izman Herdiansyah Muhammad Ridho Kurniawan Muhammad Valdo Nahdatul Akma Ahmad Nahdatul Akma Ahmad Novaria Kunang, Yesi Novifika, Seva Nyimas Sopiah Oktaviani, Nia Oktaviani, Nia Oktaviani, Nia Purwaningtias, Fitri Qoriani Widayati Rianda Pratama Rika Ardila Sabeli Aliya Sabeli Aliya Suyanto Suyanto Suyanto Suyanto Tasmi, Tasmi Tata Sutabri Tri Basuki Kurniawan Wahyu Caesarendra Wicaksana, Hilman Singgih Widya Cholil Wulandari, Intan Fitriana Yesi Novaria Kunang Yukos Pratama Zaid Amin