Mapping model for target achievement of village SDGs using the Ensemble ROCK method
A case study of Sidoarjo Regency, East Java
DOI:
https://doi.org/10.20525/ijrbs.v11i1.1567Keywords:
Village SDGs, Ensemble ROCK, Sidoarjo, SDGsAbstract
Sustainable Development Goals (SDGs) are a set of goals for sustainable development which are consist of 17 goals that are expected to be achieved by 2030. 91% of Indonesia's territory is a rural area, consisting of more than 17,000 islands, almost 7500 villages. The villages contribute about 74% to the achievement of the national SDGs. Indonesia implements The Village SDGs which have 18 goals. The 18th goal is to achieve dynamic village institutions and adaptive village culture designed to accommodate various local cultures that characterize village management and are still applied by the community. Almost all district in Indonesia do not yet have a mapping of the status of achieving the Village SDGs. It will be easier for the district government to prioritize village development programs according to the needs of each village. In this study, research variables that measure 17 village goals will be used and grouped into 4 aspects, namely economic aspects, environmental aspects, health and education aspects and welfare aspects. Because village SDGs data is a mixture of numeric and categorical, ROCK ensemble analysis is used which is a grouping method for mixed data. In this study, it was found that the majority of villages in Sidoarjo Regency were still lagging behind in the fields of economy, health, education, and community welfare. This can be seen in the number of villages that are included in the low group based on the results of the analysis.
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References
Alvionita. (2017). Metode Ensembel ROCK dan SWFM untuk Pengelompokan Data Campuran Numerik dan Kategorik pada Kasus Aksesi Jeruk. Surabaya: Statistika, Institut Teknologi Sepuluh Nopember.
Bappenas. (2017). Ringkasan Metadata Indikator TPB/SDGs Indonesia. Jakarta: Bappenas.
DINPMD. (2021). Dinas Pemberdayaan Masyarakat dan Desa Kabupaten Sidoarjo. Retrieved Juni 15, 2021, from http://sid.sidoarjokab.go.id/
Guha, S., Rastogi, R., & Shim, K. (2000). ROCK: A Robust Clustering Algorithm for Categorical Attributes. Proceeding of the 15th International Conference on Data Engineering.
Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate Data Analysis. United State of America: Pretice Hall International, Inc.
He, Z., Xu, X. i., & Deng, S. (2005). Clustering Mixed Numeric and Categorical Data: A Cluster Ensemble Approach. Department of Computer Science and Engineering, Harbin Institute of Technology.
Iskandar, A. (2020). SDGs Desa Percepatan Pencapaian Tujuan Pembangunan Nasional Berkelanjutan (1st ed). Jakarta: Pustaka Obor.
Iskandar, A. H. (2020). SDGs Desa Percepatan Pencapaian Tujuan Pembangunan Nasional Berkelanjutan (1st ed.). Jakarta: Pustaka Obor.
Johnson, R., & Wichern, D. (2007). Applied Multivariate Statistical Analysis 6th-Edition. New Jersey: Pearson Prentice Hall.
KDPDTT. (2021, Juli). Tentang Indeks Desa Membangun. Retrieved from Direktorat Jenderal Pembangunan dan Pemberdayaan Masyarakat Desa: https://idm.kemendesa.go.id/view/detil/1/tentang-idm
Kemendes PDTT. (2020). Permendes PDTT No 21 Tahun 2020 Tentang Pembangunan dan Pemberdayaan Masyarakat Desa. Jakarta.
Kemendesa. (2021, 02 22). Pendataan SDGs Desa 2021. Retrieved from https://sdgsdesa.kemendesa.go.id/: https://sdgsdesa.kemendesa.go.id/pemutakhiran-data-sdgs-desa/
Mingoti, S., & Lima, J. (2006). Comparing SOM neural network with Fuzzy c-means. European Journal of Operational Research, 1748.
Miola, A., & Schiltz, F. (2019). Measuring sustainable development goals performance: How to monitor policy action in the 2030 Agenda implementation? Ecological Economics.
OECD. (2017). Measuring Distance to the SDG Targets: An Assessment of Where OECD Countries Stand. Paris.
PMD. (2021, Juni). Penghargaan Utama SDGs Dari Kemendes PDTT Untuk Desa Yang Selesaikan Pendataan Tepat Waktu. Retrieved from Dinas Pemberdayaan Masyarakat Dan Desa Kabupaten Sidoarjo: http://sid.sidoarjokab.go.id/2021/06/09/penghargaan-utama-sdgs-dari-kemendes-pdtt-untuk-desa-yang-selesaikan-pendataan-tepat-waktu/
Ramdhany, R. (2018). Pengelompokan Desa Di Kabupaten Bondowoso Berdasarkan Data Campuran Numerik Dan Kategorik Menggunakan. Surabaya: Statistika, Institut Teknologi Sepuluh Nopember.
Tyagi, A., & Sharma, S. (2012). Implementation of ROCK Clustering Algorithm for the Optimization of Query Searching Time. International Journal on Computer Science and Engineering, 05.
UN. (2015). Transforming Our World: The 2030 Agenda for Sustainable Development. New York: United Nations.
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