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Elida Novita

Universitas Jember

Jalan Kalimantan

Indonesia

  • Universitas Jember

SCHOLARLY PAPERS

2

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172

TOTAL CITATIONS

5

Scholarly Papers (2)

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1.

Quantifying Tree Species Effects on Soil Organic Carbon using Machine Learning Algorithm: A Case Study in Tropical Agroforestry System of Gayo Coffee, Indonesia

Number of pages: 34 Posted: 04 Oct 2025
Rahmat Pramulya, Rahmat Asy’Ari, Nihawa Hajar Pudjawati, Azelia Dwi Rahmawati, Abd. Malik A. Madinu, Fachruddin Fachruddin, Muhammad Reza Aulia, Tarmizi Tarmizi, Fakhruddin Fakhruddin, Dahlan Dahlan, Elida Novita, Adi Sutrisno, Devi Maulida Rahmah, Moh Zulfajrin, Heru Bagus Pulunggono, Fitria Yuliasmara, Rika Ratna Sari, Danny Dwi Saputra and Yudi Setiawan
Universitas Teuku Umar, SSRS Institute Indonesia, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Universitas Jember, affiliation not provided to SSRN, Padjadjaran University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Brawijaya University, Brawijaya University and Bogor Agricultural University (IPB University)
Downloads 88 (753,595)

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Coffee Agroforestry, Social forestry, SOC, Random Forest

2.

Assessment of Gayo Agroforestry Coffee Characteristics and Carbon Stock Potential in Mumuger Social Forestry Area, Central Aceh Regency

Number of pages: 20 Posted: 14 Nov 2024
Rahmat Pramulya, Dahlan Dahlan, Rahmat Asy'Ari, Ardya Hwardaya Gustawan, Ali Dzulfigar, Elida Novita, Adi Sutrisno and Devi Maulida Rahmah
Universitas Teuku Umar, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Universitas Jember, affiliation not provided to SSRN and Padjadjaran University
Downloads 84 (803,225)
Citation 5

Abstract:

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agroforestry, carbon stock, machine learning, remote sensing, social forestry