Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Nanang Susyanto"'
Publikováno v:
JTAM (Jurnal Teori dan Aplikasi Matematika), Vol 8, Iss 3, Pp 994-1011 (2024)
One measure that can be used to see the level of farmer welfare is the farmer exchange rate (NTP), which is a comparative calculation between the price index received by farmers (IJ) and the price index paid by farmers (IB), expressed as a percentage
Externí odkaz:
https://doaj.org/article/d02ec68fef9a444796eded68befe2494
Publikováno v:
Electronic Research Archive, Vol 32, Iss 1, Pp 72-89 (2024)
This study presented a glioma growth model that accounts for drug-sensitive and drug-resistant cells in response to chemotherapy and anti-angiogenic therapy. Chemotherapy induces mutations in drug-sensitive cells, leading to the emergence of drug-res
Externí odkaz:
https://doaj.org/article/4acb795ff1b04d87bc359c08482e2cf7
Publikováno v:
Boundary Value Problems, Vol 2023, Iss 1, Pp 1-12 (2023)
Abstract In this paper, we discussed a stochastic optimal control of hepatitis C that minimizes the side effect and reduces the viral load. The control variables represent the drug therapy used for blocking a new infection and virus production. The s
Externí odkaz:
https://doaj.org/article/bc85751ece7c443dbce71d92218c1a86
Publikováno v:
AIMS Mathematics, Vol 8, Iss 6, Pp 14508-14521 (2023)
In this paper, we develop a mathematical model for the spread of COVID-19 outbreak, taking into account vaccination in susceptible and recovered populations. The model divides the population into eight classes, including susceptible, vaccinated in S
Externí odkaz:
https://doaj.org/article/8210834df4c2407cb2d222451e027f05
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 2, Pp 1515-1535 (2022)
In this paper, a mathematical model describing the dynamical of the spread of hepatitis C virus (HCV) at a cellular level with a stochastic noise in the transmission rate is developed from the deterministic model. The unique time-global solution for
Externí odkaz:
https://doaj.org/article/b0d3f322938e4753930009d1e548595e
Autor:
Anom Yudistira, I. Gusti Agung, Nariswari, Rinda, Arifin, Samsul, Abdillah, Abdul Azis, Puguh Wahyu Prasetyo, Nanang Susyanto
Publikováno v:
Journal of Communication & Information Technology (CommIT Journal); 2024, Vol. 18 Issue 1, p67-76, 10p
Numerous advanced techniques including machine learning models are widely used in landslide susceptibility zoning which result in very high accuracy. In some cases, very high accuracy represents an overfitting in the model, where a model adapts very
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9e4775c0e00d9fbbdd4b3283dbe4f29
https://doi.org/10.5194/egusphere-egu23-11051
https://doi.org/10.5194/egusphere-egu23-11051
Autor:
Danang Sri Hadmoko, Guruh Samodra, Nanang Susyanto, Danang Eko Nuryanto, Andi Dharmawan, Muhammad Auzan, Erwin Eko Wahyudi
Publikováno v:
Journal of Informatics, Information System, Software Engineering and Applications (INISTA). 4:1-12
Akuisisi data, bertujuan untuk mengambil data awal, merupakan salah satu tahapan dalam metodologi penambangan data. Data awal akan diproses menjadi data akhir yang digunakan untuk proses pemodelan, seperti pembuatan model untuk memprediksi potensi te
Autor:
Taufan Alam, Priyono Suryanto, Nanang Susyanto, Budiastuti Kurniasih, Panjisakti Basunanda, Eka Tarwaca Susila Putra, Dody Kastono, Dyah Weny Respatie, Muhammad Habib Widyawan, null Nurmansyah, Andrianto Ansari, null Taryono
Publikováno v:
Sustainability; Volume 14; Issue 13; Pages: 7636
A family of Sigmoidal non-linear models is commonly used to determine the critical period of weed control (CPWC) and acceptable yield loss (AYL) in annual crops. We tried to prove another non-linear model to determine CPWC and AYL in a soybean agrofo
Publikováno v:
Open Journal of Mathematical Sciences, Vol 4, Iss 1, Pp 118-125 (2020)
This work presents a mathematical model that investigates the impact of smokers on the transmission dynamics of smoking behavior in the Indonesian population. The population is classified into three classes: potential smokers, smokers, and ex-smokers