Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dwi Hendra Kusuma"'
Autor:
Dewi Kusuma Wardani, Trisno Martono, Duta Sabiila Rusydi, Laurensia Claudia Pratomo, Dwi Hendra Kusuma
Publikováno v:
Al-Ishlah: Jurnal Pendidikan, Vol 14, Iss 4, Pp 4899-4906 (2022)
The objective of this research was to develop an effective Economics learning information system media to improve students’ skill for Macroeconomics problem-solving. It used the research and development method. The Macroeconomics learning informati
Externí odkaz:
https://doaj.org/article/7581278db0e44066b689c559833b93f5
Autor:
Trisno Martono, Laurensia Claudia Pratomo, Dwi Hendra Kusuma, Dewi Kusuma Wardani, Duta Sabiila Rusydi
Publikováno v:
Volume: 4, Issue: 2 146-153
International Journal of Educational Research Review
International Journal of Educational Research Review, Vol 4, Iss 2, Pp 146-153 (2019)
International Journal of Educational Research Review
International Journal of Educational Research Review, Vol 4, Iss 2, Pp 146-153 (2019)
This research aims to examine the effectiveness of online learning information system to improve undergraduates’ critical thinking skills in learning macroeconomics through two instruments, test and questionnaire. Quantitative method was applied in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::182d0dabbef8407cc40d640b32b3a26a
https://dergipark.org.tr/tr/pub/ijere/issue/42844/517973
https://dergipark.org.tr/tr/pub/ijere/issue/42844/517973
Publikováno v:
BISE: Jurnal Pendidikan Bisnis dan Ekonomi. 4
The aim of this research is to develop learning media using Online Marketing Video Learning Information System technology which can be accessed online, and improve the learning outcomes in Online Marketing learning at Vocational High School in Sukoha
Publikováno v:
2016 International Seminar on Application for Technology of Information and Communication (ISemantic).
This paper presents a comparison of optimization for vehicle steering controls system simulation using several Artificial Intelligence (AI) for optimizing Proportional Integral Derivative (PID) control parameters to suppress errors on lateral motion