Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Amri Muhaimin"'
Publikováno v:
Jurnal Lebesgue, Vol 5, Iss 1, Pp 514-519 (2024)
The Human Development Index (HDI) is one of the efforts to achieve the Sustainable Development Goals (TPB) with HDI components including health, education and a decent standard of living. Referring to the Central Statistics Agency, it always increase
Externí odkaz:
https://doaj.org/article/71a1a53131d24f9cb821ca66d61d1539
Publikováno v:
Journal of ICT, Vol 22, Iss 4 (2023)
Multi-label classification is a unique challenge in machine learning designed for two targets with each containing one or multiple classes. This problem can be resolved using several methods, including the classification of the targets individually o
Externí odkaz:
https://doaj.org/article/b1051986b1bf4b39aace86747325d5e3
Autor:
Ismaini Zain, Erma Oktania Permatasari, Mardiyono Mardiyono, Amri Muhaimin, Dwilaksana Abdullah Rasyid
Publikováno v:
Jurnal Biometrika dan Kependudukan, Vol 11, Iss 02, Pp 122-133 (2022)
This research aims to analyze the relationship between the characteristics of teenagers and family functions as well as the understanding of narcotics, psychotropics, and addictive substances on the behavior of teenagers consuming drugs in East Java
Externí odkaz:
https://doaj.org/article/f7eb148b13244f25ae525661c4493b0d
Publikováno v:
Statistika, Vol 21, Iss 2, Pp 169-180 (2022)
Pada investasi agregat aset finansial, setiap aset tunggal dapat memunculkan potensi risiko kerugian yang harus ditanggung oleh investor. Pada kondisi ini, untuk memprediksi nilai risiko kerugian dapat digunakan konsep risiko agregat. Prediksi nilai
Externí odkaz:
https://doaj.org/article/141fc7dd6e284aa7a4f9be0d8ba05685
Autor:
Amri Muhaimin, Tresna Maulana Fahrudin, null Trimono, Prismahardi Aji Riyantoko, Kartika Maulida Hindrayani
Publikováno v:
Internasional Journal of Data Science, Engineering, and Anaylitics. 2:86-90
Text classifications have been popular in recent years. To classify the text, the first step that needs to be done is to convert the text into some value. Some values that can be used, such as Term Frequencies, Inverse Document Frequencies, Term Freq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebf36e1af0cd423a260ff8837611ed96
https://doi.org/10.33005/ijdasea.v2i1.34
https://doi.org/10.33005/ijdasea.v2i1.34
Publikováno v:
Data Science and Emerging Technologies ISBN: 9789819907403
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b747579db561be2870fd0f7ecd59c41d
https://doi.org/10.1007/978-981-99-0741-0_35
https://doi.org/10.1007/978-981-99-0741-0_35
Publikováno v:
Internasional Journal of Data Science, Engineering, and Anaylitics. 1:36-42
Intermittent dataset is a unique data that will be challenging to forecast. Because the data is containing a lot of zeros. The kind of intermittent data can be sales data and rainfall data. Because both sometimes no data recorded in a certain period.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c111b6e3e12206668b0d9b348248c246
https://doi.org/10.33005/ijdasea.v1i2.10
https://doi.org/10.33005/ijdasea.v1i2.10
Autor:
Prismahardi Aji Riyantoko, Tresna Maulana Fahrudin, Kartika Maulida Hindrayani, Amri Muhaimin, null Trimono
Publikováno v:
Internasional Journal of Data Science, Engineering, and Anaylitics. 1:43-54
Time series is one of method to forecasting the data. The ACEA company has competition with opened the data in the Water Availability and uses the data to forecast. The dataset namely, Aquifers-Petrignano in Italy in water resources field has five pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::202592292ee9ca8145da0c5a0a5be9e8
https://doi.org/10.33005/ijdasea.v1i2.12
https://doi.org/10.33005/ijdasea.v1i2.12
Publikováno v:
Internasional Journal of Data Science, Engineering, and Anaylitics. 1:1-10
The objective of this research is to obtain the best method for forecasting rainfall in the Wonorejo reservoir in Surabaya. Time series and causal approaches using statistical methods and machine learning will be compared to forecast rainfall. Time s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d33ff715898acc158c228fff6b926de
https://doi.org/10.33005/ijdasea.v1i1.2
https://doi.org/10.33005/ijdasea.v1i1.2
Autor:
Amri Muhaimin, Kartika Fithriasari
Publikováno v:
2021 IEEE 7th Information Technology International Seminar (ITIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f34775b624a1eeb6dc6058a1de36ed4
https://doi.org/10.1109/itis53497.2021.9791596
https://doi.org/10.1109/itis53497.2021.9791596