1. Home
  2. Vol 8, No 2 (2024)
  3. Sirait

An Optimization Of Flight Scheduling Using A Deep Learning Approach Utilizing Root Mean Square Propagation In Adjusting Routes And Time For Operational Efficiency

Donna Nm Sirait, M. Amril, Ivana Wardani, Darmeli Nasution, Yosei Ht Simanjuntak, Fahri Septiadi

Abstract


This research explores the application of a Deep Learning approach by utilizing the Root Mean Square Propagation (RMSprop) algorithm to increase efficiency in flight scheduling. The main focus of the research is on adjusting routes and times to achieve higher operational efficiency in the aviation industry. Aviation is an important aspect of transportation that requires accurate and efficient scheduling to achieve punctuality, operational efficiency and a better passenger experience. This research aims to improve flight scheduling by applying Deep Learning techniques, specifically using the RMSprop algorithm. The research method includes the use of historical flight data to train the model, adjusting routes and times based on the analysis carried out by the RMSprop algorithm. The research results are expected to provide new insights into the application of Deep Learning technology in the aviation industry, with the aim of improving punctuality, reducing flight delays, and increasing the overall efficiency of airline operations. Thus, this research is expected to provide a valuable contribution in the development of a scheduling system that is more adaptive and responsive to the dynamics that occur in flight operations.

Keywords


aviation, optimization, algorithms, deep learning, RMSprop

References


MF Yazdi, SR Kamel, SJM Chabok, and M. Kheirabadi, “Flight delay prediction based on deep learning and Levenberg-Marquart algorithm,”J. Big Data, vol. 7, pp. 1–28, 2020.

B. Yu, Z. Guo, S. Asian, H. Wang, and G. Chen, “Flight delay prediction for commercial air transport: A deep learning approach,”Transp. Res. Part E Logist. Transp. Rev., vol. 125, pp. 203–221, 2019.

Y. Yaakoubi, F. Soumis, and S. Lacoste-Julien, “Flight-connection prediction for airline crew scheduling to construct initial clusters for OR optimizer,”arXiv Prepr. arXiv2009.12501, 2020.

YJ Kim, S. Choi, S. Briceno, and D. Mavris, “A deep learning approach to flight delay prediction,” in2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC), IEEE, 2016, pp. 1–6.

Z. Yan, H. Yang, F. Li, and Y. Lin, “A deep learning approach for short-term airport traffic flow prediction,”Aerospace, vol. 9, no. 1, p. 11, 2021.

Z. Wang, C. Liao, X. Hang, L. Li, D. Delahaye, and M. Hansen, “Distribution Prediction of Strategic Flight Delays via Machine Learning Methods,”Sustainability, vol. 14, no. 22, p. 15180, 2022.

M. Yousefzadeh Aghdam, SR Kamel Tabbakh, SJ Mahdavi Chabok, and M. Kheyrabadi, "Optimization of air traffic management efficiency based on deep learning enriched by the long short-term memory (LSTM) and extreme learning machine (ELM),"J. Big Data, vol. 8, no. 1, pp. 1–26, 2021.

M. Lambelho, M. Mitici, S. Pickup, and A. Marsden, "Assessing strategic flight schedules at an airport using machine learning-based flight delay and cancellation predictions,"J. water Transp. Manag., vol. 82, p. 101737, 2020.

G. Amaralet al., “No主観的健康感を中心とした在宅高齢者における 健康関連指標に関する共分散構造分析Title,” J. Petrol., vol. 369, no. 1, pp. 1689–1699, 2013, doi: 10.1017/CBO9781107415324.004.

MM Shaveret al., “Optimizing neuro-oncology imaging: a review of deep learning approaches for glioma imaging,” Cancers (Basel)., vol. 11, no. 6, p. 829, 2019.

F. J. Díaz-Pernas, M. Martínez-Zarzuela, M. Antón-Rodríguez, and D. González-Ortega, “A deep learning approach for brain tumor classification and segmentation using a multiscale convolutional neural network,” inHealthcare, MDPI, 2021, p. 153.

T. Nurhikmat, "Implementation of deep learning for image classification using the Convolutional Neural Network (CNN) algorithm on wayang golek images," 2018.

W. Seok, Y. Kim, and C. Park, “Pattern Recognition of Human Arm Movement Using Deep Reinforcement Learning Intelligent information systems and embedded software engineering, Kwangwoon University,” pp. 917–919, 2018.

B. Zhu, X. Wu, L. Yang, Y. Shen, and L. Wu, “Automatic detection ofbooks based on Faster R-CNN,” in 2016 third international conference on digital information processing, data mining, and wireless communications (DIPDMWC), IEEE, 2016, pp. 8–12.

H. Hapke, C. Howard, and H. Lane,Natural Language Processing in Action: Understanding, analyzing, and generating text with Python. Simon and Schuster, 2019.

R. Azhar, A. Surahman, and C. Juliane, "Sentiment Analysis of Cryptocurrency Based on Python TextBlob Using the Naïve Bayes Algorithm,"J-SAKTI (Journal of Computer Science and Inform., vol. 6, no. 1, pp. 267–281, 2022.

S. Setyaningsih and Y. Suchyadi, “Implementation of Principal Academic Supervision To Improve Teacher Performance in North Bogor,” Jhss (Journal Humanit. Soc. Stud., vol. 5, no. 2, pp. 179–183, 2021, doi: 10.33751/jhss.v5i2.3909.

Y. Suchyadi and Nurjanah, “Relationship between Principal Supervision in Increasing the Job Satisfaction of Private Junior High School Teachers in East Bogor District,” JHSS (Journal Humanit. Soc. Stud., vol. 02, no. 01, pp. 26–29, 2018, doi: https://doi.org/10.33751/jhss.v2i1.818.

Y. Suchyadi, “Relationship between Work Motivation and Organizational Culture in Enhancing Professional Attitudes of Pakuan University Lecturers,” JHSS (JOURNAL Humanit. Soc. Stud., vol. 01, no. 01, pp. 41–45, 2017, doi: https://doi.org/10.33751/jhss.v1i1.372.

Y. Suchyadi, N. Karmila, and N. Safitri, “Kepuasan Kerja Guru Ditinjau Dari Peran Supervisi Kepala Sekolah Dasar Negeri Di Kecamatan Bogor Utara,” JPPGuseda | J. Pendidik. Pengajaran Guru Sekol. Dasar, vol. 2, no. 2, pp. 91–94, Nov. 2019, doi: 10.33751/jppguseda.v2i2.1453.

R. Purnamasari et al., “Student Center Based Class Management Assistance Through The Implementation Of Digital Learning Models,” J. Community Engagem., vol. 02, no. 02, pp. 41–44, 2020, doi: https://doi.org/10.33751/jce.v2i2.2801.

Y. Suchyadi and H. Suharyati, “The Use Of Multimedia As An Effort To Improve The Understanding Ability Of Basic School Teachers ‘Creative Thinking In The Era ‘Freedom Of Learning,’” in Merdeka Belajar, A. Rahmat, Ed. Yogyakarta: Zahir Publishing, 2021, pp. 42–53.

Y. Suchyadi et al., “Increasing Personality Competence Of Primary School Teachers, Through Education Supervision Activities In Bogor City,” J. COMMUNITY Engagem., vol. 01, no. 01, 2019, [Online]. Available: https://journal.unpak.ac.id/index.php/jce

Y. Suchyadi et al., “Improving The Ability Of Elementary School Teachers Through The Development Of Competency Based Assessment Instruments In Teacher Working Group , North Bogor City,” J. COMMUNITY Engagem., vol. 02, no. 01, pp. 1–5, 2020, doi: https://doi.org/10.33751/jce.v2i01.2742.

S. Hardinata, Y. Suchyadi, and D. Wulandari, “Strengthening Technological Literacy In Junior High School Teachers In The Industrial Revolution Era 4.0,” J. Humanit. Soc. Stud., vol. 05, no. 03, pp. 330–335, 2021.

H. Suharyati, H. Laihad, and Y. Suchyadi, “Development of Teacher Creativity Models to Improve Teacher’s Pedagogic Competency in the Educational Era 4.0,” Int. J. Innov. Creat. Chang. www.ijicc.net, vol. 5, no. 6, pp. 919–929, 2019, [Online]. Available: www.ijicc.net

Y. Suchyadi, Nurjanah, and N. Karmila, Supervisi Pendidikan: Strategi Meningkatkan Profesionalisme Guru. Bogor: PGSD Universitas Pakuan, 2020.

Suchyadi, Y., & Suryani, A. "Educational Environment In The Implementation Of Character Education". JHSS (Journal Of Humanities And Social Studies), 5(2), 208-212. 2021.

Marwah, H. S., Suchyadi, Y., & Mahajani, T. "Pengaruh Model Problem Based Learning Terhadap Hasil Belajar Subtema Manusia Dan Benda Di Lingkungannya". Journal of Social Studies Arts and Humanities (JSSAH), 1(1), 42-45. 2021.

Suchyadi, Y., Sunardi, O., Suhardi, E., & Sundari, F. S. "Using a Multimedia for Natural Science Learning in Improving Concept Skills of Elementary School Teachers".

Hardinata, S., Suchyadi, Y., & Wulandari, D. "Model of Strengthening Technology Literacy for Junior High School Teachers in the Era of the Industrial Revolution 4.0."

Suchyadi, Y., Mirawati, M., Anjaswuri, F., & Destiana, D. "Supervisi Akademik Dalam Meningkatkan Kompetensi Guru Sekolah Dasar". Jurnal Manajemen Pendidikan, 10(1), 067-074. 2022.

Suchyadi, Y., Nurlela, N., & Indriani, R. S. "Analysis of Student Self-Regulated Learning in an Effort To Increase the Effectiveness of Online Lectures in the Pandemic Period". Jhss (Journal of Humanities and Social Studies), 6(1), 120-125. 2022.

Nurohmah, N., Suchyadi, Y., & Mulyawati, Y. "Pengaruh Gaya Belajar Terhadap Hasil Belajar Matematika Di Sd Negeri Sukaharja 01 Kabupaten Bogor". Journal of Social Studies Arts and Humanities (JSSAH), 2(1), 067-070. 2022.

Suchyadi, Y., & Nurjanah, N. "The Influence Of The Implementation Of Educational Supervision By The Principal On Teacher Performance In Schools". Jurnal Manajemen Pendidikan, 10(2), 125-129. 2022.

Suchyadi, Y., Muhajang, T., Indriani, R. S., & Mirawati, M. "Implementation Of Supervision In Improving The Learning Process And Character Education In Elementary Schools". Journal of Social Studies Arts and Humanities (JSSAH), 2(2), 143-146. 2022.

Gunawan, N. D., Suchyadi, Y., & Sumardi, S. "The Effect Of Online Learning On Interest In Learning Mathematics In Elementary Schools". Journal of Social Studies Arts and Humanities (JSSAH), 2(2), 110-113. 2022.

Bagus, S. N., Anwar, W. S., & Suchyadi, Y. "Analisis Bimbingan Belajar Siswa Berkesulitan Membaca". Journal of Social Studies Arts and Humanities (JSSAH), 2(2), 137-142. 2022.

Hikmah, N., Indriani, R. S., Karmila, N., Suchyadi, Y., Harahap, L. P. A., Ainurrahmah, A., & Fardila, I. "Elementary School Students Learning Assistance in The Covid-19 Pandemic Through The Introduction Of The Kipin School 4.0 Application". Journal of Community Engagement (JCE), 5(1), 31-35. 2023.

Suchyadi, Y., Indriani, R. S., & Budiana, S. "The Influence of the Implementation of Principal Supervision on Teacher Work Discipline in the Learning Process". JHSS (Journal Of Humanities And Social Studies), 7(1), 238-242. 2023.


Full Text: PDF

DOI: 10.33751/jhss.v8i2.9711

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.