Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Agung Andiojaya"'
Publikováno v:
Jurnal Ekonomi dan Studi Pembangunan, Vol 16, Iss 1, Pp 52-62 (2024)
This paper examines the potential of nighttime light (NTL) data as an alternative data source to predict the number of money laundering events. The study is based on the assumption that money laundering as one of financial crime categories is linked
Externí odkaz:
https://doaj.org/article/53c8794b02154da2a174b6f9c26981f1
Autor:
Agung Andiojaya, Haydar Demirhan
Publikováno v:
Expert Systems with Applications. 129:10-26
Classical time series analysis methods are not readily applicable to the series with missing observations. To deal with the missingness in time series, the common approach is to use imputation techniques to fill in the gaps and get a regularly spaced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffc2f4c6112296bb9f574ab2ef0bbd7b
https://doi.org/10.1016/j.eswa.2019.03.044
https://doi.org/10.1016/j.eswa.2019.03.044
Autor:
Agung Andiojaya
Publikováno v:
JSEP (Journal of Social and Agricultural Economics). 14:140
Policies to maintain rice prices are a sensitive policy in Indonesia so that the government controls the rice price tightly in every level of the rice market. To make sure it runs well, the government needs to take into account the magnitude, directi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ead426408c880276603611b460b613d
https://doi.org/10.19184/jsep.v14i2.24304
https://doi.org/10.19184/jsep.v14i2.24304
Publikováno v:
International Journal on Information and Communication Technology (IJoICT). 6:31
Spatio-temporal model forecasting method is a forecasting model that combines forecasting with a function of time and space. This method is expected to be able to answer the challenge to produce more accurate and representative forecasting. Using the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c8877a1f81918d70951f016620fbe6d
https://doi.org/10.21108/ijoict.2020.61.477
https://doi.org/10.21108/ijoict.2020.61.477