Steven Danendra, Demitri Fernando Putra Aryandi, Soetam Rizky Wicaksono

ANALISIS KETIMPANGAN SUPLAI GIZI GLOBAL MENGGUNAKAN PENDEKATAN BUSINESS INTELLIGENCE BERBASIS VISUALISASI INTERAKTIF

Introduction

Analisis ketimpangan suplai gizi global menggunakan pendekatan business intelligence berbasis visualisasi interaktif. Pahami ketimpangan gizi global pasca-COVID-19. Analisis suplai makronutrien via Business Intelligence & visualisasi interaktif untuk dukung kebijakan kesehatan publik dan gizi.

Abstract

The COVID-19 pandemic has caused significant changes in global food consumption patterns, impacting the balance of macronutrient intake and overall public health. This study is motivated by the need to understand the global distribution and disparity of nutrition supply, which may affect food security and metabolic disease risk. The objective of this research is to analyze per capita calorie, protein, and fat supply across countries and examine its relation to health issues such as obesity and COVID-19 mortality. The methodology uses a Business Intelligence approach involving the ETL (Extract, Transform, Load) process applied to a global nutrition dataset from Kaggle, which is then visualized through five interactive dashboards using Looker Studio. The results indicate that high nutrient supply does not necessarily originate from economically dominant countries, and regional disparities remain prominent—particularly in developing countries that rely heavily on cereals and vegetable oils. Furthermore, the analysis found no strong correlation between nutritional adequacy and obesity or COVID-19 mortality rates, suggesting the influence of external factors such as lifestyle and healthcare infrastructure. This study concludes that interactive data visualization can provide deeper spatial and thematic insights into global nutrition challenges and serve as a data-driven decision support tool in the fields of public health and nutrition policy.

Review

This paper addresses a highly pertinent and timely issue: the analysis of global nutrition supply disparities, particularly in light of the COVID-19 pandemic's impact on food consumption patterns. The authors leverage a Business Intelligence (BI) approach to investigate per capita calorie, protein, and fat supply across countries, aiming to understand its relationship with critical public health outcomes such as obesity and COVID-19 mortality. The objective is clearly stated and contributes meaningfully to discussions surrounding food security and public health policy, offering a crucial perspective on global health challenges. Methodologically, the study employs a robust Business Intelligence framework, utilizing an ETL (Extract, Transform, Load) process to prepare a global nutrition dataset sourced from Kaggle. The subsequent visualization through five interactive dashboards using Looker Studio is a commendable application of modern data analytics tools, designed to provide accessible and dynamic insights. The findings reveal compelling regional disparities, noting that high nutrient supply does not exclusively originate from economically dominant nations and highlighting the reliance of developing countries on specific food groups like cereals and and vegetable oils. Interestingly, the research found no strong direct correlation between nutritional adequacy and obesity or COVID-19 mortality, suggesting the significant influence of confounding external factors such as lifestyle choices and the quality of healthcare infrastructure. A significant strength of this study lies in its innovative use of interactive data visualization. The deployment of Looker Studio dashboards is particularly effective in transforming complex global nutrition data into actionable, spatially, and thematically rich insights, thereby serving as a valuable data-driven decision support tool for public health and nutrition policymakers. While the abstract effectively highlights key disparities, a deeper exploration of the 'external factors' influencing the observed lack of correlation, perhaps through a multi-variate analysis incorporating socio-economic indicators or public health expenditure, could further enrich the discussion. Future work could also explore the specific policy implications derived from these visualizations, translating the descriptive insights into prescriptive recommendations for targeted interventions. Overall, this research provides a solid foundation for understanding global nutrition challenges and demonstrates the power of BI in addressing complex public health issues.

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