Mobile Technology-Based Participatory Mapping to Identify Home Industries in Pekalongan City - Indonesia

Abstract

Participatory mapping is a method to geolocate city elements and places involving local people as data collectors. At present, adequate technology for participatory mapping is available, i.e., smartphones, GPS, and the internet. Based on various literature, it is an effective method for obtaining spatial information from individuals. Therefore, in this research, a mobile technology-based participatory mapping method was implemented to identify the home industry's Geolocation as an essential element of Pekalongan city's economy. This research involved Bogor Agricultural University (IPB) students who did Thematic field practice (KKNT) in Pekalongan City. Students were requested to walk and Geolocate the home industries of 6 villages using the Locus Map application. The data collected were transferred to the researcher online to be analyzed the geo-location and concentration of the home industries using Kernell Density analysis in ArcGIS software. The result shows that there are 35 home industries identified on mostly settlements land use and more concentrated in Kuripan Kertoharjo Village. This information is helpful for urban planners to manage settlements where home industries exist. The involvement of students as on-site surveyors was an advantage due to the familiarity with mobile technology

Keywords

• participatory
• mapping
• industrial revolution 4.0
• Locus Map
• GPS
• Geolocation

References

1. Agha, Z. A., Triwinarko, A., & Hamuna, B. (2017). Pemetaan Industri di Kota Batam Menggunakan Mobile GIS Berbasis Android. Journal of Applied Informatics and Computing, 1(1), 1–4. https://doi.org/10.30871/jaic.v1i1.990
2. Azyat, A., Raissouni, N., Ben Achhab, N., Lahraoua, M., & Chahboun, A. (2012). Mobile Geographic Information System Platform (MGISP): A GPS Information Collection System. International Journal of Information and Network Security (IJINS), 1(2), 140–151. https://doi.org/10.11591/ijins.v1i2.534
3. Brown, G., & Kyttä, M. (2014). Key issues and research priorities for public participation GIS (PPGIS): A synthesis based on empirical research. Applied Geography, 46, 122–136. https://doi.org/10.1016/j.apgeog.2013.11.004
4. Brown, G., Sanders, S., & Reed, P. (2018). Using public participatory mapping to inform general land use planning and zoning. Landscape and Urban Planning, 177(March), 64–74. https://doi.org/10.1016/j.landurbplan.2018.04.011
5. Damayanti, M., & Latifah, L. (2015). Strategi Kota Pekalongan Dalam Pengembangan Wisata Kreatif Berbasis Industri Batik. Jurnal Pengembangan Kota, 3(2), 100. https://doi.org/10.14710/jpk.3.2.100-111
6. Endarwati, M. C. (2011). Berkenalan Dengan Gis Untuk Aplikasi Perencanaan Kota. Jurnal Sabua, 3(3), 50–55.
7. Falco, E., Zambrano-Verratti, J., & Kleinhans, R. (2019). Web-based participatory mapping in informal settlements: The slums of Caracas, Venezuela. Habitat International, 94(September), 102038. https://doi.org/10.1016/j.habitatint.2019.102038
8. Flanagin, A. J., & Metzger, M. J. (2008). The credibility of volunteered geographic information. GeoJournal, 72(3–4), 137–148. https://doi.org/10.1007/s10708-008-9188-y

9. Fornace, K. M., Surendra, H., Abidin, T. R., Reyes, R., Macalinao, M. L. M., Stresman, G., Luchavez, J., Ahmad, R. A., Supargiyono, S., Espino, F., Drakeley, C. J., & Cook, J. (2018). Use of mobile technology-based participatory mapping approaches to geolocate health facility attendees for disease surveillance in low resource settings. International Journal of Health Geographics, 17(1), 1–10. https://doi.org/10.1186/s12942-018-0141-0
10. Gabryszuk, J. (2020). The potential to use smartphone-based gnss receiverfor surveying. Geomatics and Environmental Engineering, 14(2), 49–57. https://doi.org/10.7494/geom.2020.14.2.49
11. Herlina, A. (2018). Mobile Gis Sebaran Pabrik Gula Di Provinsi Jawa Timur. Metik Jurnal, 2(2), 53–57.
12. Kelly, M., Ferranto, S., Lei, S., Ueda, K. ichi, & Huntsinger, L. (2012). Expanding the table: The web as a tool for participatory adaptive management in California forests. Journal of Environmental Management, 109, 1–11. https://doi.org/10.1016/j.jenvman.2012.04.035
13. Kingston, R. P. (2007). Public participation in local policy decision-making: The role of Web-based mapping. Cartographic Journal, 44(2), 138–144. https://doi.org/10.1179/000870407X213459
14. Klonner, C., Usón, T. J., Aeschbach, N., & Höfle, B. (2021). Participatory Mapping and Visualization of Local Knowledge: An Example from Eberbach, Germany. International Journal of Disaster Risk Science, 12(1), 56–71. https://doi.org/10.1007/s13753-020-00312-8
15. Korpilo, S., Virtanen, T., & Lehvävirta, S. (2017). Smartphone GPS tracking—Inexpensive and efficient data collection on recreational movement. Landscape and Urban Planning, 157, 608–617. https://doi.org/10.1016/j.landurbplan.2016.08.005
16. Laituri, M., & Kodrich, K. (2008). On line disaster response community: People as sensors of high magnitude disasters using internet GIS. Sensors, 8(5), 3037–3055. https://doi.org/10.3390/s8053037
17. Lee, J. (2020). Designing an inquiry-based field work project for students using mobile technology and its effects on students’ experience. Review of International Geographical Education Online, 10(SpecialIssue1), 14–39. https://doi.org/10.33403/rigeo.637666
18. Nowak, M. M., Dziób, K., Ludwisiak, Ł., & Chmiel, J. (2020). Mobile GIS applications for environmental field surveys: A state of the art. Global Ecology and Conservation, 23. https://doi.org/10.1016/j.gecco.2020.e01089
19. Pelly, D. A., & Wiyono, M. B. (2020). Participatory Mapping of Village Potential with Geotagging Data (Case Study: Wedomartani Village, Sleman, Yogyakarta). BHUMI: Jurnal Agraria Dan Pertanahan, 5(3), 77–84. https://doi.org/10.31292/jb.v5i3.394
20. Rall, E., Hansen, R., & Pauleit, S. (2019). The added value of public participation GIS (PPGIS)for urban green infrastructure planning. Urban Forestry and Urban Greening, 40(June 2018), 264–274. https://doi.org/10.1016/j.ufug.2018.06.016
21. Riggs, W., & Gordon, K. (2017). How is mobile technology changing city planning? Developing a taxonomy for the future. Environment and Planning B: Urban Analytics and City Science, 44(1), 100–119. https://doi.org/10.1177/0265813515610337
22. Rukayah, R. S., Wibowo, A. A., & Wahyuningrum, S. H. (2015). Public Participation in Branding Road Corridor as Shopping Window or Batik Industry at Pekalongan. Procedia - Social and Behavioral Sciences, 168, 76–86. https://doi.org/10.1016/j.sbspro.2014.10.212
23. Rzeszewski, M., & Kotus, J. (2019). Usability and usefulness of internet mapping platforms in participatory spatial planning. Applied Geography, 103(May 2018), 56–69. https://doi.org/10.1016/j.apgeog.2019.01.001
24. Thrall, G. I. (1998). GIS applications in real estate and related industries. Journal of Housing Research, 9(1), 33–59.
25. Wikipedia. (2014). Locus Map. http://www.locusmap.eu/
26. Zandbergen, P. A., & Barbeau, S. J. (2011). Positional accuracy of assisted GPS data from high-sensitivity GPS-enabled mobile phones. Journal of Navigation, 64(3), 381–399. https://doi.org/10.1017/S0373463311000051
27. Zhou, X., & Li, D. (2018). Quantifying multi-dimensional attributes of human activities at various geographic scales based on smartphone tracking. International Journal of Health Geographics, 17(1), 1–13. https://doi.org/10.1186/s12942-018-0130-3