Data Visualization Analysis of Waste Production Volume in Every District of Tangerang Regency in 2021 Using Looker Studio and Big Query Platforms
DOI:
https://doi.org/10.56313/jictas.v2i1.239Keywords:
Visualization data, Waste production volume, Tangerang Regency, Looker Studio, Big QueryAbstract
The waste problem is a problem that continues to increase every year in Indonesia. Tangerang Regency as one of the regencies in Banten Province has the same problem related to the volume of waste production. Therefore, this study aims to analyze and visualize data on the volume of waste production in each sub-district in Tangerang Regency in 2021 using the Looker Studio and Big Query platforms. The method used in this research is descriptive method with a quantitative approach. The data used is secondary data obtained from the Tangerang Regency Environmental Service. The results showed that there were significant differences in the volume of waste production between one sub-district and another. Data visualization using the Looker Studio and Big Query platforms makes it easy to understand patterns and trends in the volume of waste production in each district. This research is expected to provide input for the Tangerang Regency government in making policies related to waste management in the area. This study employs data processing and analysis methods utilizing two platforms, namely Looker Studio and Big Query. The decision to adopt these platforms is backed by previous research, such as the study conducted by, which demonstrated that utilizing Looker Studio can lead to expedited and more effective business decision-making. Furthermore, the effectiveness of Big Query in processing large and intricate datasets has also been substantiated by various studies. By leveraging these platforms, the study aims to enhance the efficiency and accuracy of data processing and analysis for better-informed business decisions.
References
A. T. Mauleny, “Aglomerasi, Perubahan Sosial Ekonomi, Dan Kebijakan Pembangunan Jakarta,” J. Ekon. Kebijak. Publik, vol. 6, no. 2, 2015.
M. Rois, A. Mubarak, and A. Suzianti, “Designing Solution for Organic Waste Management System with Design Thinking Approach (Case Study in Depok),” in IOP Conference Series: Earth and Environmental Science, 2020, vol. 464, no. 1. doi: 10.1088/1755-1315/464/1/012002.
H. Widjaja, A. Wellsan, G. Mistissy, N. D. Al Qibthia, F. Yenni, and O. Agustin, “Garbage Pollution In The Cisadane River In The Tangerang Region,” 2020. doi: 10.4108/eai.22-10-2019.2291483.
W. Wahyuni, S. E. Wardoyo, and R. Arizal, “KUALITAS AIR SUMUR MASYARAKAT DI SEKITAR TEMPAT PEMBUANGAN AKHIR SAMPAH (TPAS) RAWA KUCING KOTA TANGERANG,” J. SAINS Nat., vol. 7, no. 2, 2019, doi: 10.31938/jsn.v7i2.256.
C. Wang, D. Liu, Y. Li, L. Wang, and W. Gu, “A multidisciplinary perspective on the evolution of municipal waste management through text-mining: A mini-review,” Waste Management and Research, vol. 39, no. 1. 2021. doi: 10.1177/0734242X20962841.
T. N. Handayani, Kartika Nur Rahma Putri, Nurul Alvia Istiqomah, and Veerasak Likhitruangsilp, “The Building Information Modeling (BIM)-Based System Framework to Implement Circular Economy in Construction Waste Management,” J. Civ. Eng. Forum, 2021, doi: 10.22146/jcef.3602.
N. Pawar, “6. Type of Research and Type Research Design,” in Social Research Methodology, 2020.
P. Khadapkar, “How to build a BI dashboard using Google Data Studio and BigQuery | Google Cloud Big Data and Machine Learning Blog | Google Cloud Platform,” Google Cloud Platform, 2017.
J. Jufri, M. D. H. Gamal, H. Deswita, B. Yanto, and F. Erwis, “Determining Trinomial Coefficient With Ladder Multiplication and Its Construction in Circle and Cone,” 2019, doi: 10.4108/eai.18-7-2019.2288520.
“Dashboarding With Google’s Looker Studio,” Major Gift. Rep., vol. 25, no. 3, 2023, doi: 10.1002/mgr.32093.
G. Gunartin, “Analisa Efektivitas Bank Sampah sebagai Alternatif Pengelolaan Sampah Dalam Upaya Menuju Smart City di Kota Tangerang Selatan,” INOVASI, vol. 6, no. 1, 2019, doi: 10.32493/inovasi.v6i1.y2019.p1-6.
F. Provost and T. Fawcett, “Introduction: Data-Analytic Thinking,” Data Sci. Bus. What You Need to Know About Data Min. Data-Analytic Thinking., 2013.
W. Prasetya, Y. Yanto, C. Natalia, and A. Silalahi, “PENDAMPINGAN BIOKONVERSI SAMPAH ORGANIK MELALUI BUDIDAYA MAGGOT DAN LELE di KAMPUNG BARU, DESA SAMPORA TANGERANG,” Pros. SENAPENMAS, 2021, doi: 10.24912/psenapenmas.v0i0.15016.
F. S. Khurniawan and Y. Ruldeviyani, “Twitter Sentiment Analysis: Case Study on the Revision of the Indonesia’s Corruption Eradication Commission (KPK) Law 2019,” 2020. doi: 10.1109/ICoDSA50139.2020.9212851.
T. Z. Dessiaming, S. Anraeni, and S. Pomalingo, “COLLEGE ACADEMIC DATA ANALYSIS USING DATA VISUALIZATION,” J. Tek. Inform., vol. 3, no. 5, 2022, doi: 10.20884/1.jutif.2022.3.5.310.
