Open Dataset of the Week: Jakarta’s Participatory Budget
Jakarta has opened up its budget and data to its citizens, says Ramda Yanurzha.

All the different units of goods proposed.[/caption]
The data is also, as expected, incredibly messy. While surprisingly most of the projects proposed are geotagged, there are a lot of formatting inconsistencies that makes the clean up stage painful. Some of them are minor (m? meter? meter2? m2? meter persegi?) while others are perplexing (latitude: -6,547,843,512,000 - yes, that’s a value of more than a billion). Annoyingly, hundreds of proposals point to the center of the National Monument so it’s not exactly a representative dataset.
For fellow data wranglers, pull requests to improve the data are gladly welcome over here. Ibam generously wrote an RT extractor to yield further location data, and I’m looking into OpenStreetMap RW boundary data to create a reverse geocoder for the points.
A couple hours of scrubbing in OpenRefine yields me a dataset that is clean enough for me to generate the CartoDB map I embedded at the beginning of this piece. More precisely, it is a map of geotagged projects where each point is colored depending on whether it’s rejected or accepted.
Numbers and Patterns
40,511 proposals, some of them merged into broader ones, which gives us a grand total of 26,364 projects valued at over IDR 3,852,162,060,205, just over $250 million at the current exchange rate. This amount represents over 5% of Jakarta’s annual budget for 2015, with projects ranging from a IDR 27,500 (~$2) trash bin (that doesn’t sound right, does it?) in Sumur Batu to IDR 54 billion, 1.5 kilometer drainage improvement in Koja.
However, as you can see in the map, the pattern generated is interesting enough to warrant a deeper look. Not only did a disproportionately higher number of projects get approved in North and West Jakarta than in the South and East, but a lot of them are also densely clustered in particular areas.
More surprisingly, there are a lot of kelurahan that are not participating in the musrenbang process! The red dots, of course, can be explained with theories such as they’re already covered by existing development plans through the conventional budgeting process, or that the proposals are simply not solid/urgent enough. Thanks to the dataset, you can actually click on each point to see the proposal summary, proposed budget, and the reason for rejection.
More, Please!
Open data is good and it definitely expands opportunities for people like me trying to understand how the city works and how my taxes are being used. I have never participated in musrenbang (and probably will not, at least while I’m in NYC), but this simple map definitely makes me eager to know more. Why can’t we make something like the infamous I Quant NY for Jakarta? For other cities and provinces? For Indonesia? Stay tuned for more of these in the near future.
This article is written by Ramda Yanurzha, who was a research assistant with the World Bank working on Indonesia’s open data project. He is now a graduate student at NYU Center of Urban Science & Progress, studying urban informatics.