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Journal : Agroista: Jurnal Agroteknologi

Pemetaan Sistem Monitoring Keragaan Produksi Berbasis Blok Ihsan, Fahmi; Yuniasih, Betti; Wirianata, Herry
AGROISTA : Jurnal Agroteknologi Vol. 8 No. 1 (2024): MEI
Publisher : Program Studi Agroteknologi INSTIPER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55180/agi.v8i1.431

Abstract

achieving palm oil productivity. Monitoring of production achievement is visualized in a map. The purpose of this study is analyze spatially and temporally of achieving palm oil productivity. Productivity achievement are calculated from the percentage of actual productivity against the company's plan production from 2016 - 2020. Oil palm plantation blocks with high production achievements (>90%) are visualized in green, medium production (70-89%) are visualized in yellow, and low production (<70%) are visualized in red. This research was conducted at Sepantaian Estate of PT. Bumitama Gunajaya Abadi, Kotawaringin Lama District, West Kotawaringin Regency, Central Kalimantan Province, in August - October 2022. The Sepantaian Estate oil palm plantation production achievement map can visualize data spatially on the condition of the 4 Divisions and temporally visualize the condition of production achievement in 2016-2020. The temporal map of palm oil production achievements shows that the lowest production achievements occurred in 2016 and the highest production achievements in 2020. Spatially, it is known that Division III is the division with the lowest production achievements in 2016 and 2017. Maps of oil palm plantation production achievements can be used for monitoring, evaluation and input to plantation management in making decisions in managing oil palm plantations.
Perbandingan Indeks Vegetasi NDVI dan SAVI di Kebun Kelapa Sawit pada Kondisi El Nino dan La Nina Wardana, Dimas Agung Satya; Yuniasih, Betti; Wirianata, Herry
AGROISTA : Jurnal Agroteknologi Vol. 7 No. 2 (2023): NOVEMBER
Publisher : Program Studi Agroteknologi INSTIPER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55180/agi.v7i2.584

Abstract

The extreme weather condition El Nino can cause Indonesia to experience a prolonged dry season, while La Nina causes a prolonged rainy season. These conditions affect the availability of water in oil palm plantations and affect the physiological processes of oil palm. This research aims to compare the NDVI index and SAVI index using Landsat 8 satellite imagery in the oil palm plantations of PT. Wanapotensi Guna during El Nino and La Nina. Landsat 8 satellite imagery recorded in August 2019 describes El Nino conditions and recorded in August 2020 describes La Niña conditions in the study area were downloaded from the USGS website. The NDVI and SAVI indices were analyzed using ArcGIS 10.5 software. The research results show the value of the NDVI index and SAVI index in the oil palm plantation area of ​​PT. Wanapotesi Guna has a value that is not much different in El Nino and La Nina conditions. The NDVI index value in El Nino conditions has a range of 0.07-0.46 and in La Nina conditions has a range of 0.13-0.44. Likewise, the SAVI index value in El Nino conditions has a range of 0.11-0.70 and in La Nina conditions has a range of 0.20-0.69. So it can be concluded that the NDVI index and SAVI index obtained from Landsat 8 satellite imagery cannot describe significant differences in index values ​​in oil palm plantation areas due to differences in the extreme weather conditions of El Nino and La Nina.