Novri Suhermi
PhD in Applied Social Statistics, Lancaster University
Topik Penelitian: Functional Data Analysis for Energy Consumption Modelling
Profil di Universitas: https://www.lancaster.ac.uk/maths/people/novri-suhermi
Afiliasi: Institut Teknologi Sepuluh Nopember
Bidang Keilmuan: Natural Sciences
https://orcid.org/0000-0002-8016-5803

Kontribusi

Publikasi
  • Prastyo, D. D., Khoiri, H. A., Purnami, S. W., Suhartono, Fam, S.-F., & Suhermi, N. (2019). Survival Support Vector Machines: A Simulation Study and Its Health-Related Application. In Unsupervised and Semi-Supervised Learning (pp. 85–100). Springer International Publishing. https://doi.org/10.1007/978-3-030-22475-2_5
  • Suhermi, N., Suhartono, Permata, R. P., & Rahayu, S. P. (2019). Forecasting the Search Trend of Muslim Clothing in Indonesia on Google Trends Data Using ARIMAX and Neural Network. In Communications in Computer and Information Science (pp. 272–286). Springer Singapore. https://doi.org/10.1007/978-981-15-0399-3_22
  • Suhermi, N., Puspitaningrum, R., & Suharsono, A. (2019). DIAGRAM KENDALI MEWMV DAN MEWMA BERBASIS MODEL TIME SERIES PADA DATA BERAUTOKORELASI: STUDI KASUS GULA KRISTAL PUTIH. MEDIA STATISTIKA, 12(1), 26. https://doi.org/10.14710/medstat.12.1.26-38
  • Prastyo, D. D., Nabila, F. S., Suhartono, Lee, M. H., Suhermi, N., & Fam, S.-F. (2018). VAR and GSTAR-Based Feature Selection in Support Vector Regression for Multivariate Spatio-Temporal Forecasting. In Communications in Computer and Information Science (pp. 46–57). Springer Singapore. https://doi.org/10.1007/978-981-13-3441-2_4
  • Suhermi, N., Suhartono, Rahayu, S. P., Prastyasari, F. I., Ali, B., & Fachruddin, M. I. (2018). Feature and Architecture Selection on Deep Feedforward Network for Roll Motion Time Series Prediction. In Communications in Computer and Information Science (pp. 58–71). Springer Singapore. https://doi.org/10.1007/978-981-13-3441-2_5
  • Suhermi, N., Suhartono, S., Dana, I. M. G. M., & Prastyo, D. D. (2019). Pemilihan Arsitektur Terbaik pada Model Deep Learning Melalui Pendekatan Desain Eksperimen untuk Peramalan Deret Waktu Nonlinier. STATISTIKA: Journal of Theoretical Statistics and Its Applications, 18(2), 153–159. https://doi.org/10.29313/jstat.v18i2.4545
  • Suhermi, N., Suhartono, Prastyo, D. D., & Ali, B. (2018). Roll motion prediction using a hybrid deep learning and ARIMA model. Procedia Computer Science, 144, 251–258. https://doi.org/10.1016/j.procs.2018.10.526
  • Suhartono, Suhermi, N., & Prastyo, D. D. (2018). Design of Experiment to Optimize the Architecture of Deep Learning for Nonlinear Time Series Forecasting. Procedia Computer Science, 144, 269–276. https://doi.org/10.1016/j.procs.2018.10.528
  • Amalia, F. F., Suhartono, Rahayu, S. P., & Suhermi, N. (2018). Quantile Regression Neural Network for Forecasting Inflow and Outflow in Yogyakarta. Journal of Physics: Conference Series, 1028, 012232. https://doi.org/10.1088/1742-6596/1028/1/012232
Artikel Populer Ilmiah
    Pengabdian Masyarakat
      Pengalaman Sebagai Pembicara
      • Workshop: Time Series Analysis for Housing Sale Projection, held by Perum PERUMNAS (2022),
      • Training: Statistika Dasar, held by Direktorat Potensi, Kepatuhan dan Penerimaan DJP Kemenkeu (2022),
      • Workshop: Pemilihan Variabel Indikator Ekonomi dan Uji Validitas Indikator Data Sistem Pembayaran, held by Bank Indonesia (2021),
      • FGD: Metodologi untuk Uji Dampak Pembiayaan Ultra Mikro (UMi), held by Direktorat Sistem Manajemen dan Investasi Kemenkeu (2021),
      • Training: Statistics Software Training (SST), held by SSC HIMASTA-ITS (2021),
      • Workshop: Intro to Changepoint Analysis, held by PACMANN AI (2021),
      • Workshop: Understanding and Interpreting Statistics for Data Analysis, held PACMANN AI (2021),
      • Webinar: Data Science Week - Intro to Time Series Forecasting for Energy Analytics, held by Pacmann x Cakap Upskill (2021),
      • Conferece: International Symposium on Forecasting (ISF) 2020, held by International Institute of Forecasters (2020), https://isf.forecasters.org/wp-content/uploads/ISF20_program.pdf
      • Webinar: Data Science for Energy Management, held by Lab Jaringan UNEJ (2020), https://www.youtube.com/live/wJKfb-7DddA?feature=share
      • Webinar: Examine the Market Behavior and Economic Conditions by Business Analytics held by Statistic & Quality Engineering Lab, Department of Industrial Engineering, Universitas Brawijaya (2020),
      • Webinar: Functional Data Analysis for Energy Consumption Modelling using R, held by Machine Learning ID, 2020 (2020), https://www.youtube.com/live/azQD1KEeJUQ?feature=share
      • Webinar: Pentingnya Data Science dalam Mengembangkan Bisnis StartUp, held by Sistem Informasi UISI (2020),
      • Webinar: Functional Data Analysis for Energy Consumption Modelling, held by Department of Statistics ITS (2020), https://www.youtube.com/live/_E0ZQ3x6cK8?feature=share
      • Conference: International Seminar on Information and Communication Technologies ISICT2019 (2019),
      • Conference: International Seminar on Mathematics in Industry & International Conference on Theoretical and Applied Statistics 2018 (2018),
      • Conference: The 4th International Conference on Soft Computing in Data Science 2018 (SCDS2018) (2018),
      • Conference: Python Conference (PyCon) 2017 (2017), https://youtu.be/6VcdJQ93Iy0