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INDONESIA
Indonesian Journal of Agriculture and Environmental Analytics
Published by PT FORMOSA CENDEKIA GLOBAL
ISSN : -     EISSN : 29625572     DOI : https://doi.org/10.55927/ijaea.v3i2
Core Subject : Health, Science, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Environmental Science Health Professions Physics
Indonesian Journal of Agriculture and Environmental Analytics (IJAEA) is a scientific, peer-reviewed, open-access journal that encompasses multi-disciplinary subjects in agriculture, informatics, and environmental sciences. IJAEA discusses the interactions among the components of agricultural and environmental systems. The Journal is maintained by a panel of experts and experienced Editors. Articles submitted to IJAEA mainly include substantive natural and plant science content especially farm or landscape-level combined with social sciences and substantive analysis and discussion of the environment and higher-end science within agricultural systems.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Holtikultura
Articles 71 Documents
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Characteristics of Rainfall Deficit Anomalies During the Main Rice Planting Season in Indramayu Regency Based on the Standardized Precipitation Index (SPI) 2014-2024 Marthin Abednego Gultom; Rafael Buwana; Chrisostommi Wirayudha Tuhumena
Indonesian Journal of Agriculture and Environmental Analytics Vol. 5 No. 2 (2026): July 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijaea.v5i2.16780

Abstract

This study evaluates rainfall deficit anomalies during the main rice planting season to detect hidden meteorological droughts. It analyzes satellite-derived precipitation variables using the 1-month Standardized Precipitation Index (SPI-1). The observation timeline spans 2014 to 2024 across Indramayu Regency, utilizing CHIRPS spatial data. The results revealed that extreme drought anomalies surprisingly occurred during the peak wet seasons, specifically in December 2023 (SPI -2.48) and February 2024 (SPI -1.81). These anomalous wet-season precipitation failures severely disrupted the critical early vegetative phases of rice. The findings imply an urgent need for agricultural stakeholders to transition from static to dynamic planting calendars integrated with probability-based climate prediction models to mitigate mass crop failures.

Page 8 of 8 | Total Record : 71

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