Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal SENTRI: Jurnal Riset Ilmiah
Fajar Rahmawan
NRM Peta Alam Indonesia
Aerospace Engineering Humanities Computer Science & IT Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Spatial-Temporal Drought Analysis in Jatirogo Subdistrict Using Normalized Difference Drought Index (2020-2025) Ainur Rochmah; Amaludin Arifia; Marita Ika Joesidawati; Fajar Rahmawan
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 1 (2026): SENTRI : Jurnal Riset Ilmiah, Januari 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i1.5516

Abstract

Drought is a recurring hydrometeorological hazard in Indonesia, particularly affecting regions with high rainfall variability and rainfed agriculture dependence. This study analyzes spatial-temporal drought patterns in Jatirogo Subdistrict, Tuban Regency, East Java (2020-2025) using the Normalized Difference Drought Index (NDDI) from Sentinel-2 imagery. The methodology involved image preprocessing, NDVI and NDWI calculation, NDDI derivation, and GIS-based drought classification. Results show strong seasonal patterns with peak severity during August-October, where moderate to severe drought dominated 65-80% of the area annually. The most severe conditions occurred in 2023-2024, with NDDI values exceeding 1.0. Villages including Kebonharjo, Sugihan, Demit, Bader, and Sekaran were identified as highly vulnerable. NDDI-based mapping revealed significant correlations with sectoral impacts: severe drought periods (NDDI > 0.8) corresponded with 40-60% crop yield reductions in rainfed paddies, increased irrigation demand, critical groundwater depletion, and elevated food security vulnerabilities among smallholder farmers. This study demonstrates that Sentinel-2 NDDI integration with GIS effectively supports village-level drought monitoring and provides essential spatial information for targeted mitigation strategies, including water resource management, adaptive agricultural planning, and early warning systems.
Spatiotemporal Analysis of Agricultural Drought in Tambakboyo District, Tuban Regency (2020–2025) Using the Normalized Difference Drought Index Widya Devi Febianti R.S; Amaludin Arifia; Marita Ika Joesidawati; Fajar Rahmawan
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 1 (2026): SENTRI : Jurnal Riset Ilmiah, Januari 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i1.5517

Abstract

Drought is a recurring hydrometeorological disaster that poses a serious threat to agricultural productivity and food security, particularly in rain-fed agricultural regions of Indonesia’s northern coastal areas. Tambakboyo District, Tuban Regency, is characterized by high dependence on seasonal rainfall, limited irrigation infrastructure, and fluctuating climatic conditions, making it highly vulnerable to agricultural drought. This study aims to analyze the spatiotemporal patterns of agricultural drought in Tambakboyo District during the period 2020–2025 using the Normalized Difference Drought Index (NDDI) derived from Sentinel-2 satellite imagery. Sentinel-2 Level-2A surface reflectance data from September to December for each study year were processed to calculate the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI), which were subsequently combined to generate NDDI values. Drought severity was classified into five categories ranging from normal to very severe drought. The results indicate a consistent seasonal drought pattern, with drought intensity beginning to increase in September, peaking in October–November, and declining in December with the onset of the rainy season. The most severe drought conditions occurred in 2022, when 68.5% of the district area experienced severe to very severe drought. Spatial analysis revealed that Kenanti, Gadon, and Plajan villages were persistently identified as drought-prone areas throughout the study period. These findings demonstrate the effectiveness of NDDI for monitoring agricultural drought in rain-fed farming systems and highlight its potential application for drought mitigation planning, early warning systems, and sustainable water resource management at the local scale.
Co-Authors Ainur Rochmah Amaludin Arifia Marita Ika Joesidawati Widya Devi Febianti R.S