Claim Missing Document
Check
Articles

Found 2 Documents
Search

Pemanfaatan Data Penginderaan Jauh untuk Identifikasi Perubahan Zona Agroklimat di Provinsi Papua Barat: Utilization of Remote Sensing Data to Identify the Agroclimate Zone Change in West Papua Province Faisol, Arif; Paga, Bertha Ollin; Mashudi; Budiyono
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 13 No. 2 (2025): August 2025
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2025.013.02.07

Abstract

Fenomena perubahan iklim telah mengakibatkan perubahan zona agroklimat di sejumlah wilayah di Indonesia. Berdasarkan kondisi tersebut, penelitian ini bertujuan untuk mengidentifikasi perubahan zona agroklimat di Provinsi Papua Barat menggunakan data penginderaan jauh, yaitu data Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) perekaman tahun 1981 – 2020. Zonasi agroklimat dianalisis berdasarkan pengolahan data CHIRPS 30 tahun berturut-turut, yaitu 1981 – 2010 dan 1991 – 2020. Hasil penelitian menunjukkan bahwa Provinsi Papua Barat memiliki 10 Zona iklim berdasarkan hasil pengolahan data CHIRPS tahun 1981 – 2010 yaitu A1, B1, B2, C1, C2, D1, D2, E1, E2, E3, dan 9 zona iklim berdasarkan pengolahan data CHIRPS tahun 1991 – 2020 yaitu A1, B1, B2, C1, C2, D1, D2, E1, dan E2. Secara umum Provinsi Papua Barat didominasi oleh zona iklim A1, B1, dan C1. Pada kurun 2010 – 2020 di Provinsi Papua Barat terjadi peningkatan luas zona iklim A1, B1, B2, C2, D1, dan E2 serta penurunan luas zona iklim C1, D2, E1, dan E3. Hal ini mengakibatkan sejumlah wilayah di Provinsi Papua Barat mengalami perubahan zona agroklimat, yaitu; Kabupaten Manokwari, Kabupaten Manokwari Selatan, dan Kota Sorong.
Estimation of Surface Water Potential in Manokwari Regency Using Remote Sensing Data Faisol, Arif; Paga, Bertha Ollin; Mashudi, Mashudi; Budiyono, Budiyono
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1691-1700

Abstract

Water availability is major issue in Manokwari Regency, and information on its surface water potential has not yet been available. This study aimed to estimate the surface water potential in Manokwari using remote sensing data, namely EROS Visible Infrared Imaging Radiometer Suite (eVIIRS) images acquired in August–September 2024 and Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) data from 1981–2023. The analysis consisted of three main stages: data inventory, runoff coefficient estimation, and surface water potential calculation using the Melchior method. The results showed that the surface water potential in Manokwari was 2,018.70 m³/s at 99% probability and 4,148.60 m³/s at 80% probability. These values exceed the 2024 water demand, indicating that Manokwari is in a surplus water condition. The findings demonstrate the usefulness of satellite-based rainfall and land cover data for hydrological assessments in areas with limited ground observation stations.