Indeks Pencemaran Udara berdasarkan Kalendar Grafik untuk Pemprofilan Tren Visualisasi dan Analisis

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dc.contributor.authorNur Haizum Abd Rahman
dc.contributor.authorMuhammad Hisyam Lee
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-10T03:25:34Z
dc.date.available2024-05-10T03:25:34Z
dc.date.issued2020
dc.description.abstractDetection of air quality abnormality is important as an early warning system for air quality control and management. The information can raise citizens’ awareness towards current air quality status. By using time series plot, the data pattern can be identified but not able to exactly determine the abnormality due to overcrowded plot. Therefore, visualization data profiling was presented in this study by using seven years Malaysia daily air pollutant index to improve the detection.
dc.identifier.citationAbd Rahman, N. H., & Lee, M. H. (2020). Air pollutant index calendar-based graphics for visualizing trends profiling and analysis. Sains Malaysiana, 49(1), 201-209.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/580
dc.languageen
dc.publisherPenerbit UKM
dc.publisher.alternativeSains Malaysiana
dc.subjectAir pollutant index
dc.subjectcalendar
dc.subjectdata visualization
dc.subjectprofiling
dc.titleIndeks Pencemaran Udara berdasarkan Kalendar Grafik untuk Pemprofilan Tren Visualisasi dan Analisis
dc.typeJournal

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