{"id":3226,"date":"2020-12-02T15:47:47","date_gmt":"2020-12-02T08:47:47","guid":{"rendered":"http:\/\/research.binus.ac.id\/bdsrc\/?p=3226"},"modified":"2020-12-02T15:47:47","modified_gmt":"2020-12-02T08:47:47","slug":"data-engineering-pipeline-to-analyse-jakartas-air-quality-during-covid-19-caused-lockdown-periods","status":"publish","type":"post","link":"https:\/\/research.binus.ac.id\/bdsrc\/2020\/12\/02\/data-engineering-pipeline-to-analyse-jakartas-air-quality-during-covid-19-caused-lockdown-periods\/","title":{"rendered":"Data Engineering Pipeline to Analyse Jakarta\u2019s Air Quality during COVID-19-Caused Lockdown Periods"},"content":{"rendered":"<p style=\"text-align: justify\">Jakarta lifted up lockdown after passing more than 50 days of large-scale social activity restriction and initiated phase opening to new normal. To analyse Jakarta\u2019s air quality after passing lockdown, a pipeline of data engineering is needed. By acquiring time series data from openaq.com, a time-series database system is developed with Python programming language and its fundamental libraries namely Pandas, NumPy, SQLite. After PM 2.5 data are pre-processed into average per-hour and grouped by applicable periods (pre-lockdown, lockdown, and phase opening), a pattern of PM 2.5 in South Jakarta is revealed by using data visualization library Matplotlib. The apex of PM 2.5 occurs earlier during lockdown (04:00) and phase opening (02:00) rather than when it was normal or pre-lockdown (08:00) even though the nadir of PM2.5 still occurs at the same time (16:00 \u2013 17:00).<\/p>\n<p>International Conference on Eco Engineering Development 2020<\/p>\n<p><strong>Reza Rahutomo and Bens Pardamean<\/strong><\/p>\n<p><a href=\"https:\/\/www.researchgate.net\/publication\/345314807_Data_Engineering_Pipeline_to_Analyse_Jakarta's_Air_Quality_during_COVID-19-Caused_Lockdown_Periods\">Read Full Paper<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Jakarta lifted up lockdown after passing more than 50 days of large-scale social activity restriction and initiated phase opening to new normal. To analyse Jakarta\u2019s air quality after passing lockdown, a pipeline of data engineering is needed. By acquiring time series data from openaq.com, a time-series database system is developed with Python programming language and [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":3227,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-3226","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-publications"],"_links":{"self":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts\/3226","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/comments?post=3226"}],"version-history":[{"count":1,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts\/3226\/revisions"}],"predecessor-version":[{"id":3228,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts\/3226\/revisions\/3228"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/media\/3227"}],"wp:attachment":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/media?parent=3226"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/categories?post=3226"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/tags?post=3226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}