Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Utriweni Mukhaiyar"'
Autor:
Nurul Fahimah, Katharina Oginawati, Indah Rachmatiah Siti Salami, Dasapta Erwin Irawan, Diyah Anggraeni, Hirundini Rustica Absari, Utriweni Mukhaiyar, Udjianna Sekteria Pasaribu, Kurnia Novita Sari, Lira Adiyani
Publikováno v:
Emerging Contaminants, Vol 10, Iss 3, Pp 100311- (2024)
This research investigates the arsenic concentrations in 96 soil samples from a regency in Indonesia using a statistical approach. Soil samples were collected from three depth layers (topsoil [10–20 cm], subsoil [50–60 cm], and deep soil [90–10
Externí odkaz:
https://doaj.org/article/2d62e403626641a6b2d1c4c22d89444d
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 10 (2024)
The weight matrix is one of the most important things in Generalized Space–Time Autoregressive (GSTAR) modeling. Commonly, the weight matrix is built based on the assumption or subjectivity of the researchers. This study proposes a new approach to
Externí odkaz:
https://doaj.org/article/881203f7c3e341aa8218dc1541e7ce99
Autor:
Diyah Anggraeni, Katharina Oginawati, Nurul Fahimah, Indah Rachmatiah Siti Salami, Hirundini Rustica Absari, Utriweni Mukhaiyar, Udjianna Sekteria Pasaribu, Kurnia Novita Sari, Lira Adiyani
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 9, Iss , Pp 100652- (2024)
This study analyzes Cd and Pb concentrations in 102 samples across 7 sub-districts in Bandung Regency. Employing SPSS and ArcGIS's IDW method, results indicate Cd and Pb exceeding standards. Pb variation is Majalaya > Ciparay > Soreang > Pangalengan
Externí odkaz:
https://doaj.org/article/14778cc31e88412da8ae962aad87f323
Autor:
Mokhamad Fakhrul Ulum, null Maryani, Min Rahminiwati, Lina Choridah, Nurhuda Hendra Setyawan, Khusnul Ain, Utriweni Mukhaiyar, Fitra Aji Pamungkas, null Jakaria, Agah Drajat Garnadi
Publikováno v:
International Journal of Food Science, Vol 2024 (2024)
Meat content and physically hazardous contaminants in the internal section of meatballs cannot be detected by the naked eye or surface detectors. This study is aimed at analyzing the meat content of cattle meatballs and detecting foreign objects usin
Externí odkaz:
https://doaj.org/article/67fae955275e40589a37b85539e028e6
Publikováno v:
Journal of Mathematical and Fundamental Sciences, Vol 55, Iss 1 (2023)
The concept of monitoring the coefficient of variation has gained significant interest in quality control, particularly in situations where the mean and standard deviation of a process are not constant. This study modified the procedure of the previo
Externí odkaz:
https://doaj.org/article/f3222f7d16a048b8ae91bd0fd9c5667c
Autor:
Utriweni Mukhaiyar, Syahri Ramadhani
Publikováno v:
Cauchy: Jurnal Matematika Murni dan Aplikasi, Vol 7, Iss 2, Pp 158-172 (2022)
In general, the Generalized Space Time Autoregressive (GSTAR) model of space-time assumes constant error variance. In this study, a GSTAR model was built with an error variance that was not constant or had a heteroscedasticity effect, namely the comb
Externí odkaz:
https://doaj.org/article/3a0c8784135849fdb4c11f41d28d8878
Publikováno v:
Media Statistika, Vol 13, Iss 2, Pp 182-193 (2020)
Farmer Exchange Rate (FER) is an indicator that can be used to measure the level of farmers welfare. For every agriculture sector, FER is affected by the historical price of harvest from the corresponding sector and historical prices of other agricul
Externí odkaz:
https://doaj.org/article/ea9cb14290d34956a68852bf9fe7436d
Publikováno v:
Heliyon, Vol 7, Iss 7, Pp e07482- (2021)
Indonesia is a country that is surrounded by active volcanoes, which may erupt at any time; therefore, an online early warning system of volcanic eruption is crucial. In this paper, an online early warning system is constructed based on the changepoi
Externí odkaz:
https://doaj.org/article/d2e40d2174e24154bb5359a1ea1484de
Publikováno v:
Journal of Mathematical and Fundamental Sciences, Vol 49, Iss 2, Pp 136-155 (2017)
For GSTAR models, the least squares estimation method is commonly used since errors are assumed be uncorrelated. However, this method is not appropriate when errors are correlated, either in time or spatially. For these cases, the generalized least s
Externí odkaz:
https://doaj.org/article/5d9d77df6d2b460f8dada71b53cef8dd
Publikováno v:
Journal of Mathematical and Fundamental Sciences, Vol 44, Iss 2 (2013)
A new procedure of space-time modeling through the Invers of Autocovariance Matrix (IAcM) is proposed. By evaluating the IAcM behaviors on behalf of the Generalized Space-Time Autoregressive (GSTAR) process stationarity, we may find an appropriate mo
Externí odkaz:
https://doaj.org/article/f7288a8fba094b988aedbc4cd816fba7