Prioritized Mapping in Bali: Multi-View Hierarchical Agglomerative Clustering (MVHAC) Approach
Abstract
This study aims to determine which sectors and areas should be prioritized in development in BalI. The data used is panel data from 2010 – 2022 for all districts/cities in Bali. The data analysis technique for mapping sectors and regions is Multi-View Hierarchical Agglomerative Clustering (MVHAC). The results of the analysis of Location Quotient and Dyanmic Location Quotient show that the SARBAGITA area (Denpasar, Badung, Gianyar, and Tabanan) has potential in the secondary and tertiary sectors, while other areas are in the primary sector. MVHAC analysis shows that in quadrant 1 (cluster 1), namely Badung and Denpasar, the sectors that can be developed are agriculture, forestry and fisheries; real estate; manufacturing industry; water supply, waste management and waste recycling and mining and excavation, the area of quadrant 3 (cluster 2) of Tabanan and Gianyar is almost similar to Badung and Tabanan, but the potential sector is also transportation and warehousing, while quadrant 4 (cluster 2) is more on the information and communication; real estate; educational services; health services and social activities.
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References
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Mahendrayasa, I.N. 2021. The Relationship Among Economic Structure, Sectoral Workforce, and Community Welfare in Bali Province. JEKT, 14(2), 401-425.
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Mirzaei, H. (2010). A Novel Multi-View Agglomerative Clustering Algorithm Based on Ensemble of Partitions on Different Views. International Conference on Pattern Recognition.
Mo, S. W., Lee, K. B., Lee, Y. J., & Park, H. G. (2020). Analysis of import changes through shift-share, location quotient and BCG techniques: Gwangyang Port in Asia. Asian Journal of Shipping and Logistics, 36(3), 145–156.
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Muller, E., Gunnemann, S., Farber, I., & Seidl, T. (2012). Discovering multiple clustering solutions: Grouping objects in different views of the data. 28th International Conference on Data Engineering.
Munandar, T. A., Azhari, Musdholifah, A., & Arsyad, L. (2018). Multiview hierarchical agglomerative clustering for identification of development gap and regional potential sector. Journal of Computer Science, 14(1), 81–91.
Munandar, T. A., Musdholifah, A., Arsyad, L., & Gadjah Mada, U. (2017). Modified Agglomerative Clustering with Location Quotient for Identification of Regional Potential Sector. Journal of Theoretical and Applied Information Technology, 15(5).
Mustafa, D. (2002). Regional and Local Economic Analysis Tools.
Naufal, D. P. T., & Sumiyarti. (2019). Potensi Ekonomi Wilayah Cepat Maju dan Cepat Tumbuh di Provinsi Jawa Barat. Jurnal Ekonomi KIAT, 30(1), 64–69.
Nugroho, Y., & Sujarwoto. (2021). Institutions, Outputs and Outcomes: Two Decades of Decentralization and State Capacity in Indonesia. Journal of Southeast Asian Economies (JSEAE), 38(3), 296–319.
Park, C.-Y., & Claveria, R. (2018). Does Regional Integration Matter for Inclusive Growth? Evidence from the Multidimensional Regional Integration Index (No. 559).
Piętak, Ł. (2022). Regional disparities, transmission channels and country’s economic growth. Journal of Regional Science, 62(1), 270–306.
Pike, A., Rodriguez-Pose, A., & Tomaney, J. (2011). Handbook of Local and Regional Development (First Edition). Routledge Economics.
Pominova, M., Gabe, T., & Crawley, A. (2021). The Pitfalls of Using Location Quotients to Identify Clusters and Represent Industry Specialization in Small Regions. International Finance Discussion Paper, 2021(1329), 1–25. https://doi.org/10.17016/IFDP.2021.1329
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Pribadi, Y., & Nurbiyanto. (2021). Central Lampung Regency Competitiveness Measurement: Location Quotient and Shift-Share Analysis. Jurnal Kelitbangan, 9(3), 299–310.
Putra, P. I. P., & Yadnya, I. P. (2018). Analisis Sektor Unggulan Perekonomian di Kabupaten/Kota Denpasar, Badung, Gianyar, dan Tabanan. E-Jurnal Manajemen Universitas Udayana, 7(10), 5657–5685.
Raeskyesa, D. G. S., Suryandaru, R. A., & Kadarusman, Y. B. (2019). Analysis on Growth Pattern. Jurnal Ilmu Manajemen & Ekonomika, 11(2), 45–56.
Ramesh Kumar, K., Sivakumar, I., Saravanakumar, N., & Sathishkumar, R. (2020). Regional disparities and indian states: A macro level study. Journal of Critical Reviews, 7(13), 87–92.
Sari, Y. M., Aliasuddin, & Silvia, V. (2021). Economic Growth and Income Inequality in ASEAN-5 Countries. International Journal of Advanced Research in Economics and Finance, 3(4), 34–44. https://doi.org/10.55057/ijaref.2021.3.4.4
Sasirekha, K., & Baby, P. (2013). Agglomerative Hierarchical Clustering Algorithm-A Review. International Journal of Scientific and Research Publications, 3(3). www.ijsrp.org
Sen, A. (1999). Development as Freedom.
Setiawan, F. (2020). Analisis Potensi Sektor Basis Dan Non-Basis Kota Sabang Tahun 2013-2019. International Journal of Government and Social Science, 6(1), 89–104.
Soejoto, A., Fitrayati, D., Rachmawati, L., & Sholikhah, matush. (2016). Typology of Regional Economic Development Pattern. IJABER, 14(13), 9493–9505.
Suarmanayasa, I. N., Susila, G. P. A. J., & Bagia, I. W. (2019). Determination of Potential Economic Sectors to Support Economic Development Planning. Advances in Economics, Business and Management Research, 69, 69–74.
Subadra, I. N., & Hughes, H. (2021). Pandemic in paradise: Tourism pauses in Bali. Tourism and Hospitality Research by SAGE Journals, 22(1), 122–128.
Sukirno, S. (2010). Makro Ekonomi Teori Pengantar. (Edisi Kelima). STIE YKPN.
Suprapto, P. A. (2015). Dampak Pembangunan Bypass Ida Bagus Mantra Terhadapalih Fungsi Lahan Pertanian Di Provinsi Bali. Jurnal Komunikasi Hukum, 1 (1), 95–107.
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Published
2023-02-27
How to Cite
ANDIKA, Gede; ARSYAD, Lincolin.
Prioritized Mapping in Bali: Multi-View Hierarchical Agglomerative Clustering (MVHAC) Approach.
Jurnal Ekonomi Kuantitatif Terapan, [S.l.], p. 67-96, feb. 2023.
ISSN 2303-0186.
Available at: <https://ojs.unud.ac.id/index.php/jekt/article/view/95642>. Date accessed: 02 nov. 2024.
doi: https://doi.org/10.24843/JEKT.2023.v16.i01.p05.
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Articles
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