Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Farah Kristiani"'
Publikováno v:
International Journal of Data and Network Science, Vol 8, Iss 3, Pp 1947-1958 (2024)
Stock prices of different companies frequently display similar temporal fluctuations because of common influencing factors. Accurate prediction of stock prices is of utmost importance for investors in determining their investment strategies. Utilizin
Externí odkaz:
https://doaj.org/article/29c851959af6404fa102b254462fcb26
Publikováno v:
International Journal of Data and Network Science, Vol 8, Iss 2, Pp 871-880 (2024)
The Gaussian Markov Random Field (GMRF) is widely acknowledged for its remarkable flexibility, especially in the realm of high-resolution prediction, when compared to conventional Kriging methods. Rooted in the fundamental principles of Bayesian esti
Externí odkaz:
https://doaj.org/article/26f8b2aab8e2410b95e3dda98e0b2dc3
Publikováno v:
International Journal of Data and Network Science, Vol 8, Iss 2, Pp 689-698 (2024)
Deep learning techniques are making significant contributions to the rapid advancements in forecasting. A standout algorithm known for its ability to produce accurate forecasts by recognizing temporal autocorrelation within the data is the Long Short
Externí odkaz:
https://doaj.org/article/518abaf8f86749afb68cfbb6b8863273
Autor:
I Gede Nyoman Mindra Jaya, Anna Chadidjah, Yudhie Andriyana, Farah Kristiani, Anggi Nur Fauziah
Publikováno v:
International Journal of Data and Network Science, Vol 7, Iss 4, Pp 1551-1562 (2023)
The main objectives of this research are to identify significant spatial and temporal compo-nents associated with diarrhea and provide an accurate forecast. Using data from the Ban-dung city health surveillance system, the analysis reveals a decreasi
Externí odkaz:
https://doaj.org/article/81ffe9e49b9148c6a921d9452b604f82
Autor:
I Gede Nyoman Mindra Jaya, Anna Chadidjah, Yudhie Andriyana, Gatot Riwi Setyanto, Enny Supartini, Farah Kristiani
Publikováno v:
Decision Science Letters, Vol 12, Iss 2, Pp 389-398 (2023)
Traditionally, endemic diseases such as dengue, diarrhea, and tuberculosis are modeled separately, which leads to a limited understanding of current disease dynamics and an inaccurate evaluation of the parameters of the different models. In this stud
Externí odkaz:
https://doaj.org/article/7fb5d23c18c84368b5ae5b9b90875f58
Publikováno v:
Mathematics, Vol 12, Iss 3, p 451 (2024)
Spatiotemporal disease mapping modeling with count data is gaining increasing prominence. This approach serves as a benchmark in developing early warning systems for diverse disease types. Spatiotemporal modeling, characterized by its inherent comple
Externí odkaz:
https://doaj.org/article/c33f3a7c77984a9e9493fa05ad932cd0
Autor:
I Gede Nyoman Mindra Jaya, Anna Chadidjah, Farah Kristiani, Gumgum Darmawan, Jane Christine Princidy
Publikováno v:
Geospatial Health, Vol 18, Iss 1 (2023)
COVID-19 is the most severe health crisis of the 21st century. COVID-19 presents a threat to almost all countries worldwide. The restriction of human mobility is one of the strategies used to control the transmission of COVID-19. However, it has yet
Externí odkaz:
https://doaj.org/article/4eeeecf446e34fa88c18eab330310942
Autor:
I. Gede Nyoman Mindra Jaya, Budhi Handoko, Yudhie Andriyana, Anna Chadidjah, Farah Kristiani, Mila Antikasari
Publikováno v:
Mathematics, Vol 11, Iss 17, p 3641 (2023)
Multivariate “Bayesian” regression via a shared component model has gained popularity in recent years, particularly in modeling and mapping the risks associated with multiple diseases. This method integrates joint outcomes, fixed effects of covar
Externí odkaz:
https://doaj.org/article/06ea6de60006456f8d85157aaea77734
Publikováno v:
Jurnal Pelayanan dan Pengabdian Masyarakat (Pamas). 6:16-22
Matematika merupakan ilmu yang tidak terlalu populer di kalangan siswa SMA. Hanya 23% siswa SMA yang tertarik akan mata pelajaran Matematika. Tuntutan kurikulum yang padat membuat para guru kesulitan untuk mengembangkan materi penerapan Matematika da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0219bab4468277caba9f259622f9317
https://doi.org/10.52643/pamas.v6i1.1577
https://doi.org/10.52643/pamas.v6i1.1577
Publikováno v:
Modus. 34:24-38
The global COVID-19 pandemic, particularly in Indonesia, has led many businesses and institutions to ask their staff to work from home. This policy has had a significant impact on female employees, especially those who are already married, because at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95d768a5a7c5b07bf5faa2e9efc5da65
https://doi.org/10.24002/modus.v34i1.5001
https://doi.org/10.24002/modus.v34i1.5001