Novri Suhermi

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Research activity per year

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 7 Affordable and Clean Energy
SDG 8 Decent Work and Economic Growth

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Dive into the research topics where Novri Suhermi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

4 Conference contribution
4 Conference article
3 Article
1 Chapter

Energy Consumption Prediction Using Functional Regression
Suhermi, N., Aisy, R. R. & Imtiyaz, R. A., 2026, Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, p. 649-663 15 p. (Lecture Notes on Data Engineering and Communications Technologies; vol. 257).
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
LEVERAGING XGBOOST, LIGHTGBM, AND CATBOOST FOR ENHANCED CUSTOMER SEGMENTATION IN THE AUTOMOTIVE INDUSTRY
Suhermi, N., Aisy, R. R., Rohmah, A. A., Nurhayati, A. A., Pramesty, A. N., Ardanika, A. L. & Isnaini, F. N., Sept 2026, In: Barekeng. 20, 3, p. 2281-2298 18 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Multivariate Time Series Forecasting using Hybrid Vector Autoregressive and Neural Network for Coupled Roll-Sway-Yaw Motions Prediction
Suhermi, N., Suhartono, Rahayu, S. P., Ali, B., Dahlila, D. & Aisy, R. R., 2025, In: International Journal on Informatics Visualization. 9, 4, p. 1724-1732 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access
FORECASTING NUMBER OF INTERNATIONAL TOURIST ARRIVALS USING MULTI INPUT INTERVENTION ARIMA MODEL
Khusna, H., Mashuri, M., Ahsan, M., Wibawati, Aksioma, D. F. & Suhermi, N., 3 Aug 2024, In: Barekeng. 18, 3, p. 1539-1548 10 p.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Citations (Scopus)
Functional Data Analysis for Household Appliance Energy Consumption Prediction
Suhermi, N. & Aisy, R. R., 2024, In: International Conference on Computer, Control, Informatics and its Applications, IC3INA. 2024, p. 468-471 4 p.
Research output: Contribution to journal › Conference article › peer-review
1 Citation (Scopus)

Institut Teknologi Sepuluh Nopember Researchers Publish Findings in Transportation (Leveraging Xgboost, Lightgbm, And Catboost For Enhanced Customer Segmentation in The Automotive Industry)
Suhermi, N.
21/04/26
1 item of Media coverage
Press/Media
New Findings from Institut Teknologi Sepuluh Nopember Describe Advances in Informatics Visualization (Multivariate Time Series Forecasting using Hybrid Vector Autoregressive and Neural Network for Coupled Roll-Sway-Yaw Motions Prediction)
Suhermi, N. & Rahayu, S. P.
23/12/25
1 item of Media coverage
Press/Media

Novri Suhermi, S.Si., M.Si.

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Energy Consumption Prediction Using Functional Regression

LEVERAGING XGBOOST, LIGHTGBM, AND CATBOOST FOR ENHANCED CUSTOMER SEGMENTATION IN THE AUTOMOTIVE INDUSTRY

Multivariate Time Series Forecasting using Hybrid Vector Autoregressive and Neural Network for Coupled Roll-Sway-Yaw Motions Prediction

FORECASTING NUMBER OF INTERNATIONAL TOURIST ARRIVALS USING MULTI INPUT INTERVENTION ARIMA MODEL

Functional Data Analysis for Household Appliance Energy Consumption Prediction

Institut Teknologi Sepuluh Nopember Researchers Publish Findings in Transportation (Leveraging Xgboost, Lightgbm, And Catboost For Enhanced Customer Segmentation in The Automotive Industry)

New Findings from Institut Teknologi Sepuluh Nopember Describe Advances in Informatics Visualization (Multivariate Time Series Forecasting using Hybrid Vector Autoregressive and Neural Network for Coupled Roll-Sway-Yaw Motions Prediction)

Novri Suhermi, S.Si., M.Si.

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Energy Consumption Prediction Using Functional Regression

LEVERAGING XGBOOST, LIGHTGBM, AND CATBOOST FOR ENHANCED CUSTOMER SEGMENTATION IN THE AUTOMOTIVE INDUSTRY

Multivariate Time Series Forecasting using Hybrid Vector Autoregressive and Neural Network for Coupled Roll-Sway-Yaw Motions Prediction

FORECASTING NUMBER OF INTERNATIONAL TOURIST ARRIVALS USING MULTI INPUT INTERVENTION ARIMA MODEL

Functional Data Analysis for Household Appliance Energy Consumption Prediction

Press/Media

Institut Teknologi Sepuluh Nopember Researchers Publish Findings in Transportation (Leveraging Xgboost, Lightgbm, And Catboost For Enhanced Customer Segmentation in The Automotive Industry)

New Findings from Institut Teknologi Sepuluh Nopember Describe Advances in Informatics Visualization (Multivariate Time Series Forecasting using Hybrid Vector Autoregressive and Neural Network for Coupled Roll-Sway-Yaw Motions Prediction)