Jejak Situ, Sang Pengendali yang Tak Terdeteksi
Entry type: Single project
Publishing organisation: IDN Times
Organisation size: Big
Publication date: 2022-07-23
Authors: Dhana Kencana
Hello! I’m Dhana. I’m a journalist, photographer, videographer, and podcaster based in Indonesia. I has great interest in social media, data journalism and visualisation, and Open-source intelligence (OSINT). I has received a number of journalism awards and was published a photo book entitled 024 021.
This work shows the alarming condition of small lakes in Jakarta. In this project, several data visualizations are also presented that show the condition of small lakes that have been turned into land, reduced, and not mapped on the Google Maps, as a largest maps platform-which is widely used as a reference in order to public policy decision by the government. In fact, the existence of small lakes is important for environmental sustainability and natural disaster mitigation.
This work is solely aimed at millennial and generation z audiences, so it is combined with podcast coverage.
– Audiences, especially millennials and generation-Z, become more aware of the actual condition of the small lake so as to enlighten them with visualizations that are easy to understand and accessed with any device, so that they are more aware and increase their concern for the environment.
– Improved data mining and visualization skills, especially in the spatial field.
– Being able to learn and share together how to explore and visualize data with fellow journalists, both inside and outside IDN Times in official and unofficial forums
– Become a speaker and moderator of discussions on the utilization of OpenStreetMap open data to support coverage the story
– Google Earth
– Google Maps
– Google Sheet
– OSINT Media Sosial
Context about the project:
The Indonesian government still uses Google Maps as a reference for decision-making. They rarely use OpenStreetMap as an open and participatory map, where the public can participate so that the mapping is comprehensive, from the bottom up, and vice versa.
What can other journalists learn from this project?
The utilization of OpenStreetMap open data to support coverage the story