Implementasi Business Intelligence untuk Visualisasi Laju Indeks Pembangunan Manusia Kota Cirebon Menggunakan Google Collab
DOI:
https://doi.org/10.30595/sainteks.v21i1.21356Keywords:
Business Intelligence, Google Collab, IPM, VisualisasiAbstract
Indeks Pembangunan Manusia (IPM) merupakan ukuran penting untuk mengevaluasi kesejahteraan dan kemajuan suatu wilayah dalam aspek kesehatan, pendidikan, dan ekonomi. Kota Cirebon adalah salah satu wilayah di Indonesia yang memiliki IPM yang terus mengalami perkembangan. Penelitian ini bertujuan untuk menganalisis kemajuan dalam aspek kesehatan, pendidikan, dan ekonomi di Kota Cirebon selama periode tahun 2010 hingga 2020 serta dampak pandemi COVID-19 terhadap IPM. Metodologi yang digunakan melibatkan pengambilan dataset dari data.kotacirebon.go.id, yang mencakup angka harapan hidup, angka harapan lama sekolah, angka rata-rata lama sekolah, dan pengeluaran per kapita per tahun. Analisis dilakukan menggunakan Google Collab untuk visualisasi data yang fleksibel. Hasil analisis menunjukkan kemajuan dalam aspek kesehatan dan pendidikan di Kota Cirebon selama periode tahun 2010 hingga 2020, dengan angka harapan hidup, angka harapan lama sekolah, dan angka rata-rata lama sekolah mengalami peningkatan. Namun, pengeluaran per kapita per tahun mengalami penurunan, yang mungkin terkait dengan dampak pandemi COVID-19. Trend laju IPM Kota Cirebon mengalami peningkatan antara tahun 2010-2019 namun mengalami penurunan pada tahun 2020, hal ini salah satunya terkait dengan dampak pandemi COVID-19. Penelitian ini diharapkan dapat memberikan kontribusi dalam pengembangan visualisasi data untuk memahami perkembangan IPM kota Cirebon dan meningkatkan pemahaman terhadap pentingnya IPM dalam mengukur kemajuan suatu wilayah.
References
Afikah, P., Avorizano, A., Afandi, I. R., & Hasan, F. N. (2022). IMPLEMENTASI BUSINESS INTELLIGENCE UNTUK MENGANALISIS DATA KASUS VIRUS CORONA DI INDONESIA MENGGUNAKAN PLATFORM TABLEAU. In Jurnal Pseudocode (Vol. 9). https://doi.org/https://doi.org/10.33369/pseudocode.9.1.25-32
Ahmad, S., Miskon, S., Alabdan, R., & Tlili, I. (2020). Towards sustainable textile and apparel industry: Exploring the role of business intelligence systems in the era of industry 4.0. Sustainability (Switzerland), 12(7). https://doi.org/10.3390/su12072632
Ain, N. U., Vaia, G., DeLone, W. H., & Waheed, M. (2019). Two decades of research on business intelligence system adoption, utilization and success – A systematic literature review. Decision Support Systems, 125. https://doi.org/10.1016/j.dss.2019.113113
Amani, M., Ghorbanian, A., Ahmadi, S. A., Kakooei, M., Moghimi, A., Mirmazloumi, S. M., Moghaddam, S. H. A., Mahdavi, S., Ghahremanloo, M., Parsian, S., Wu, Q., & Brisco, B. (2020). Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5326–5350. https://doi.org/10.1109/JSTARS.2020.3021052
Aydiner, A. S., Tatoglu, E., Bayraktar, E., Zaim, S., & Delen, D. (2019). Business analytics and firm performance: The mediating role of business process performance. Journal of Business Research, 96, 228–237. https://doi.org/10.1016/j.jbusres.2018.11.028
Blank, J., & Deb, K. (2020). Pymoo: Multi-Objective Optimization in Python. IEEE Access, 8, 89497–89509. https://doi.org/10.1109/ACCESS.2020.2990567
Cao, S., Zeng, Y., Yang, S., & Cao, S. (2021). Research on Python Data Visualization Technology. Journal of Physics: Conference Series, 1757(1). https://doi.org/10.1088/1742-6596/1757/1/012122
Cheng, C., Zhong, H., & Cao, L. (2020). Facilitating speed of internationalization: The roles of business intelligence and organizational agility. Journal of Business Research, 110, 95–103. https://doi.org/10.1016/j.jbusres.2020.01.003
Clark, D., Baur, N., Clelland, D., Garralda, E., López-Fidalgo, J., Connor, S., & Centeno, C. (2020). Mapping Levels of Palliative Care Development in 198 Countries: The Situation in 2017. Journal of Pain and Symptom Management, 59(4), 794-807.e4. https://doi.org/10.1016/j.jpainsymman.2019.11.009
Eaton, D. A. R. (2020). Toytree: A minimalist tree visualization and manipulation library for Python. Methods in Ecology and Evolution, 11(1), 187–191. https://doi.org/10.1111/2041-210X.13313
Ferraz, D., Mariano, E. B., Rebelatto, D., & Hartmann, D. (2020). Linking Human Development and the Financial Responsibility of Regions: Combined Index Proposals Using Methods from Data Envelopment Analysis. Social Indicators Research, 150(2), 439–478. https://doi.org/10.1007/s11205-020-02338-3
Gunawan Rambe, D., Febriawan, D., & Noor Hasan, F. (2023). Implementasi Visualisasi Dashboard Business Intelligence Untuk Analisa Data Penumpang KAI Menggunakan Tableau (Vol. 4, Issue 4).
Hamad, F., Al-Aamr, R., Jabbar, S. A., & Fakhuri, H. (2021). Business intelligence in academic libraries in Jordan: Opportunities and challenges. IFLA Journal, 47(1), 37–50. https://doi.org/10.1177/0340035220931882
Hao, J., & Ho, T. K. (2019). Machine Learning Made Easy: A Review of Scikit-learn Package in Python Programming Language. In Journal of Educational and Behavioral Statistics (Vol. 44, Issue 3, pp. 348–361). SAGE Publications Inc. https://doi.org/10.3102/1076998619832248
Hickel, J. (2020). The sustainable development index: Measuring the ecological efficiency of human development in the anthropocene. Ecological Economics, 167. https://doi.org/10.1016/j.ecolecon.2019.05.011
Hug, N. (2020). Surprise: A Python library for recommender systems. Journal of Open Source Software, 5(52), 2174. https://doi.org/10.21105/joss.02174
Lessy, D. F., Avorizano, A., & Hasan, F. N. (2022). Penerapan Business Intelligence Untuk Menganalisa Data Gempa Bumi di Indonesia Menggunakan Tableau Public. Jurnal Sistem Komputer Dan Informatika (JSON) Hal: 302−, 309(2). https://doi.org/10.30865/json.v4i2.5316
Nyanga, C., Pansiri, J., & Chatibura, D. (2020). Enhancing competitiveness in the tourism industry through the use of business intelligence: a literature review. Journal of Tourism Futures, 6(2), 139–151. https://doi.org/10.1108/JTF-11-2018-0069
Padhye, R., Sen, K., & Hilfinger, P. N. (2019). Chocopy: A programming language for compilers courses. SPLASH-E 2019 - Proceedings of the 2019 ACM SIGPLAN Symposium on SPLASH-E, Co-Located with SPLASH 2019, 41–45. https://doi.org/10.1145/3358711.3361627
Riksazany, R., & Ayub, M. (2019). Eksplorasi Data Warehouse Penjualan dengan Tableau. In Jurnal Strategi (Vol. 1). https://www.tableau.com/products
Rusydi, A., & Hasan, F. N. (2023). Implementasi business intelligence untuk visualisasi kekuatan sinyal internet di Indonesia menggunakan platform tableau. TEKNOSAINS : Jurnal Sains, Teknologi Dan Informatika, 10(1), 132–141. https://doi.org/10.37373/tekno.v10i1.378
Salama, Y. R., Hamed, R., & Rashwan, M. (2022). Modified Human Development Index using Data Envelopment Analysis Approach . Journal of Mathematics and Statistics, 18(1), 115–133. https://doi.org/10.3844/jmssp.2022.115.133
Seyoum, B. (2021). State fragility and human development: a study with special emphasis on social cohesion. International Journal of Social Economics, 48(1), 39–61. https://doi.org/10.1108/IJSE-07-2020-0445
Shao, C., Yang, Y., Juneja, S., & GSeetharam, T. (2022). IoT data visualization for business intelligence in corporate finance. Information Processing and Management, 59(1). https://doi.org/10.1016/j.ipm.2021.102736
Subuh, D., Harsono, D., & Sulistiyowati, R. (2019). IMPLEMENTASI BUSINESS INTELLIGENCE PADA APLIKASI E-TILANG DENGAN MENGGUNAKAN TABLEAU SERVER.
Triyanto, D., Sholeh, M., & Hasan, F. N. (2023). KLIK: Kajian Ilmiah Informatika dan Komputer Implementasi Business Intelligence Menggunakan Tableau Untuk Visualisasi Data Dampak Bencana Banjir di Indonesia. Media Online), 3(6), 586–594. https://doi.org/10.30865/klik.v3i6.769
Wijaya, A., Tasenţe, T., Darma, D. C., & Kasuma, J. (2021). Labor force and economic growth based on demographic pressures, happiness, and human development: Empirical from Romania. Journal of Eastern European and Central Asian Research, 8(1), 40–50. https://doi.org/10.15549/jeecar.v8i1.571
Yumashev, A., Åšlusarczyk, B., Kondrashev, S., & Mikhaylov, A. (2020). Global indicators of sustainable development: Evaluation of the influence of the human development index on consumption and quality of energy. Energies, 13(11). https://doi.org/10.3390/en13112768
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