Metode Penilaian Kematangan Infrastruktur Informasi Geospasial Pemerintah Daerah di Indonesia Menggunakan Capability Maturity Model Integration (CMMI) dan Geospatial Maturity Assessment Ordnance Survey (GMA OS)

https://doi.org/10.22146/jgise.82534

Asyfi'na Shofiyal Izza(1*), Diyono Diyono(2)

(1) Magister Teknik Geomatika, Departemen Teknik Geodesi, Fakultas Teknik, Universitas Gadjah Mada
(2) Universitas Gadjah Mada
(*) Corresponding Author

Abstract


Penilaian kematangan Infrastruktur Informasi Geospasial (IIG) dilakukan untuk mengetahui tingkat efektivitas pengelolaan Informasi Geospasial (IG). Saat ini penilaian IIG pemerintah daerah di Indonesia masih pada penilaian performa IIG yang tertuang dalam Sistem Informasi Monitoring Simpul Jaringan IG Nasional (SIMOJANG) pada laman https://simojang.big.go.id/dashboard. Metode penilaian kematangan IIG penelitian ini dilakukan dengan mengadopsi penilaian Capability Maturity Model Integration (CMMI) dan Geospatial Maturity Assessment Ordnance Survey (GMA OS). Perhitungan kematangan IIG dilakukan dengan mendefinisikan kriteria penilaian performa IIG dari SIMOJANG terhadap komponen penilaian CMMI dan GMA OS. Perhitungan kematangan diuji coba pada salah satu data daerah di Indonesia yang berasal dari perhitungan SIMOJANG dengan nilai performa sebesar 90,75%. Hasil penilaian CMMI dengan menggunakan 6 komponen memperoleh nilai total Process Area (PA) 16,893 dari total maksimal 18. Berdasarkan perhitungan, maka nilai kematangan IIG hasil menggunakan CMMI sebesar 93,85%. Sedangkan perhitungan kematangan GMA OS dengan 16 komponen, hasil tingkat kematangan kategori Sangat Matang sebesar 62,50% dan hasil Relatif Matang sebesar 37,50%, apabila nilai tersebut diberikan bobot masing-masing 1,0 dan 0,5 maka diperoleh nilai kematangan IIG GMA OS sebesar 81,25%.

Keywords


Tingkat Kematangan, IIG, CMMI, GMA OS

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References

Africa, U. N. E. C. (2019). Current status of national spatial data infrastructure development in African countries. Economic Commission for Africa.

Alrwais, O. A. (2016). Towards a New GIS Maturity Model : An Organizational Usage Perspective. Claremont Graduate University. https://doi.org/10.5642/cguetd/100

Crompvoets, J., Rajabifard, A., & Loenen, B. Van. (2008). A Multi-View Framework to Assess SDIs. Published jointly by Space for Geo-Information (RGI), Wageningen University and Centre for SDIs and Land Administration, Department of Geomatics, The University of Melbourne.

ESRI. (2017). Geospatial Maturity Matters. https://www.esri.com/about/newsroom/arcnews/geospatial-maturity-matters/

Gharaibeh, I., Ahamad, M. S. S., & Malkawi, B. S. (2018). The Development of National Spatial Data Infrastructure (NSDI) in Jordan-Challenges and Awareness. Journal of Engineering and Applied Sciences, 13(13). https://doi.org/10.3923/jeasci.2018.5067.5076

Harju, K., & Teiniranta, R. (2015). The Assessment of Organisation’s GIS Maturity Gives a Push to the Use of Spatial Data. INSPIRE Geospatial World Forum.

Hayuningsih, A. F. (2014). Evaluasi Kesiapan Infrastruktur Data Spasial Di Pemerintah Kabupaten/Kota Menggunakan Kuesioner Evaluasi Diri Dan Technology Acceptance Model. Universitas Gadjah Mada.

Lindgren, E. (2022). Assessing Liberia ’ s Spatial Data Infrastructure from a data and standards perspective . University of Gavle.

Makanga, P., & Smit, J. (2010). A Review of the Status of Spatial Data Infrastructure Implementation in Africa. SACJ : South Africa Computer Journal, 45, 18–25. https://doi.org/10.18489/sacj.v45i0.36

PSD. (2019). Geospatial Maturity Index. PSD Research Consulting Software

Putra, T. Y. D., Sekimoto, Y., & Shibasaki, R. (2019). Toward the Evolution of National Spatial Data Infrastructure Development in Indonesia. International Journal of Geo-Information, 28. https://doi.org/10.3390/ijgi8060263

SEI. (2010). CMMI for Development, Version 1.3. Carnegie Mellon University

Sudiantara, I. G., Sudarma, M., & Widyantara, I. M. O. (2021). Measuring Maturity Level On The Process Of Developing An Online Presence System With CMMI Framework. International Journal of Engineering Technology, 6(2), 1–4. https://doi.org/10.24843/IJEET.2021.v06.i01.p18

Sutanta, H., Aditya, T., Santosa, P., & Laksono, D. (2014). I - SRI , an SDI Readiness Index for Local Government in Indonesia I - SRI , an SDI Readiness Index for Local Government in Indonesia. SIG Congress, June.

Waher, P. (2015). Learning Internet of Things. Birmingham UK: Packt Publishing.



DOI: https://doi.org/10.22146/jgise.82534

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