Gatot Fatwanto Hertono

Faculty of Mathematics and Natural Sciences, Department of Mathematics

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

Research activity per year

If you made any changes in Pure these will be visible here soon.

Fingerprint

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

10 Similar Profiles

Network

Recent external collaboration on country level. Dive into details by clicking on the dots or

2 Finished

Prediksi Hot Spot Insiden Dengue pada Kecamatan di DKI Jakarta dengan metode Support Vector Regression dan Statistik Getis-Ord Gi Star
Hertono, G. F.
Universitas Indonesia
20/04/20 → 31/12/20
Project: Research
Implementasi Metode Clustering dan Heuristik dalam Masalah Optimisasi Portofolio dengan Kendala
Hertono, G. F.
Universitas Indonesia
1/01/18 → 31/12/18
Project: Research

44 Citations
3 h-Index
16 Conference contribution
8 Patent
5 Conference article
3 Article

Support Vector Regression for Predicting the Number of Dengue Incidents in DKI Jakarta
Tanawi, I. N., Vito, V., Sarwinda, D., Tasman, H. & Hertono, G. F., 2021, In: Procedia Computer Science. 179, p. 747-753 7 p.
Research output: Contribution to journal › Conference article › peer-review

Open Access
Comparing activation functions in predicting dengue hemorrhagic fever cases in DKI Jakarta using u
Sukama, Y., Hertono, G. F., Handari, B. D. & Aldila, D., 16 Nov 2020, International Conference on Science and Applied Science, ICSAS 2020. Purnama, B., Nugraha, D. A. & Anwar, F. (eds.). American Institute of Physics Inc., 020059. (AIP Conference Proceedings; vol. 2296).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
Comparison of activation functions on radial basis function neural network in predicting dengue hemorrhagic fever incidents in DKI Jakarta
Muhammad, F., Hertono, G. F. & Handari, B. D., 16 Nov 2020, International Conference on Science and Applied Science, ICSAS 2020. Purnama, B., Nugraha, D. A. & Anwar, F. (eds.). American Institute of Physics Inc., 020017. (AIP Conference Proceedings; vol. 2296).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
Implementation of dimension reduction Monte Carlo method to determine option price under six-factor cross currency model
Jennifer, N., Handari, B. D. & Hertono, G. F., 1 Jun 2020, Proceedings of the 5th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2019. Mart, T., Triyono, D. & Ivandini, T. A. (eds.). American Institute of Physics Inc., 030025. (AIP Conference Proceedings; vol. 2242).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Implementation of improved quick artificial Bee Colony Algorithm on portfolio optimization problems with constraints
Sahala, A. P., Hertono, G. F. & Handari, B. D., 1 Jun 2020, Proceedings of the 5th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2019. Mart, T., Triyono, D. & Ivandini, T. A. (eds.). American Institute of Physics Inc., 030008. (AIP Conference Proceedings; vol. 2242).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Prediksi Hot Spot Insiden Dengue pada Kecamatan di DKI Jakarta dengan metode Support Vector Regression dan Statistik Getis-Ord Gi Star

Implementasi Metode Clustering dan Heuristik dalam Masalah Optimisasi Portofolio dengan Kendala

Support Vector Regression for Predicting the Number of Dengue Incidents in DKI Jakarta

Comparing activation functions in predicting dengue hemorrhagic fever cases in DKI Jakarta using u

Comparison of activation functions on radial basis function neural network in predicting dengue hemorrhagic fever incidents in DKI Jakarta

Implementation of dimension reduction Monte Carlo method to determine option price under six-factor cross currency model

Implementation of improved quick artificial Bee Colony Algorithm on portfolio optimization problems with constraints