Fadhlul Mubarak, Nurniswah Nurniswah, Vinny Yuliani Sundara, Riri Oktari Ulma, Ahmad Syukron Prasaja

PODES: Sebuah Paket Pemograman Potensi Desa di Indonesia

Introduction

Podes: sebuah paket pemograman potensi desa di indonesia. Explore PODES, a programming package for Village Potential Statistics in Indonesia. It gathers data on village potential (economy, health, education) and challenges (disasters, pollution).

Abstract

The study aims to introduce Village Potential Statistics (PODES) in the form of a computer programming package. PODES collects various information about potential (economy, security, health, employment, communication and information, sports, entertainment, development, community empowerment, education, socio-culture, transportation) and challenges (natural disasters, public health, environmental pollution, social problems, and security disturbances) faced by villages in Indonesia, especially Jambi Province.

Review

The submitted abstract, titled "PODES: Sebuah Paket Pemograman Potensi Desa di Indonesia," introduces a highly relevant and potentially impactful initiative focused on village-level data collection and analysis. The study's stated aim to introduce PODES as a computer programming package for Village Potential Statistics is clear and timely, addressing a critical need for granular data to support rural development in Indonesia. The comprehensive scope of data categories, encompassing economic, social, health, environmental, and security dimensions, suggests a robust effort to capture the multifaceted realities of Indonesian villages. A significant strength highlighted in the abstract is the inclusion of both "potential" and "challenges" faced by villages. This balanced approach, covering areas from economic opportunities and community empowerment to natural disasters and social problems, offers a holistic perspective essential for informed policy-making and targeted interventions. A well-designed programming package like PODES could serve as an invaluable tool for local governments, researchers, and non-governmental organizations to monitor progress, identify vulnerabilities, and strategically allocate resources for sustainable development across the archipelago. The breadth of data points mentioned indicates a strong foundation for supporting data-driven decision-making. While the abstract presents a compelling vision, further details in the full paper would be beneficial to fully assess the project's methodology and scalability. Specifically, the mention of "especially Jambi Province" raises questions regarding whether this is a pilot phase or if the package is specifically tailored or limited to that region, and how its broader application across Indonesia is envisioned. More technical information about the "computer programming package"—such as its architecture, user interface, data input and validation mechanisms, underlying technology, and how the collected information translates into actionable insights—would greatly enhance its perceived utility and reproducibility. Elucidating the precise methodology for data collection and the development process of the software would provide critical insights into the reliability and robustness of the PODES system.

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