Peramalan Cuaca Harian di Kota Purwokerto Menggunakan Metode Rantai Markov

JMT : Jurnal Matematika dan Terapan Pub Date : 2024-02-28 DOI:10.21009/jmt.6.1.3

Peramalan Cuaca, Harian di Kota, Purwokerto Menggunakan, Metode Rantai, Markov Sausan, Ernawati Prahesta, K. Sari, Abdurrahman Muhammad, Umar Lahmadi

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Abstract

Daily weather forecasting is an important aspect in anticipating and managing the impact of weather changes that can affect various sectors of life, such as agriculture, transportation, tourism, and other activities. Purwokerto City, which is located in the middle of Java Island, Indonesia, is one of the cities that faces fluctuating weather changes. This research aims to perform daily weather forecasting in Purwokerto City using the Markov Chain Method, a statistical approach that has been widely used in various fields including weather forecasting. This research uses daily weather data in Purwokerto City on July 5 to 10, 2023. The data was obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG) Purwokerto City. The weather data is based on the weather categories of cloudy, light rain, moderate rain, and thunder rain, as well as observation time which includes morning, afternoon, evening, and night. The results showed that the daily weather data from July 5 to 10, 2023 analyzed showed significant weather variations. However, cloudy weather was the most dominant condition during that week.

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使用马尔可夫链方法进行普沃克托市每日天气预报

日常天气预报是预测和管理天气变化影响的一个重要方面，天气变化会影响到农业、交通、旅游和其他活动等各个生活领域。位于印度尼西亚爪哇岛中部的普沃克托市是面临天气变化波动的城市之一。马尔可夫链法是一种统计方法，已被广泛应用于包括天气预报在内的多个领域，本研究旨在利用马尔可夫链法对 Purwokerto 市进行每日天气预报。本研究使用了 2023 年 7 月 5 日至 10 日 Purwokerto 市的每日天气数据。数据来自普沃克托市气象、气候和地球物理局（BMKG）。天气数据基于多云、小雨、中雨和雷雨等天气类别，以及包括上午、下午、傍晚和夜间在内的观测时间。结果显示，2023 年 7 月 5 日至 10 日的每日天气数据分析显示出明显的天气变化。不过，多云天气是该周最主要的天气状况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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JMT : Jurnal Matematika dan Terapan

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