@misc{eprints86139,
           month = {Juni},
           title = {DETEKSI CEPAT TUTUPAN LAHAN KOPI DI AREAL
AGROFORESTRI DENGAN MENGGUNAKAN DATA PENGINDERAAN
JAUH (Studi Kasus KPH Batutegi, Kabupaten Tanggamus, Provinsi

Lampung)},
          author = {GYMNASTIAR ACHMAD RAFLY},
         address = {UNIVERSITAS LAMPUNG},
       publisher = {FAKULTAS PERTANIAN},
            year = {2024},
             url = {http://digilib.unila.ac.id/86139/},
        abstract = {Agroforestri merupakan suatu sistem pertanian dimana pepohonan ditanam secara
tumpang sari dengan satu atau lebih jenis tanaman semusim. Pepohonan dapat
ditanam sebagai pagar mengelilingi petak lahan tanaman pangan, secara acak dalam
petak lahan, atau dengan pola lain misalnya berbaris dalam larikan sehingga
membentuk lorong/pagar. Salah satu model agroforestri yang dikembangkan di
Indonesia adalah agroforestri kopi. Agroforestri kopi mampu menyediakan jasa
ekosistem yang hampir sama dengan hutan, mewujudkan manfaat sosial, ekonomi
dan lingkungan (konservasi). Penelitian ini bertujuan mendeteksi secara cepat yang
paling akuran dengan menggunakan metode indeks vegetasi seperti NDVI, EVI,
SAVI, NBR, TDVI dan menggunakan metode Object Oriented Classification
(OOC). Hasil penelitian ini menunjukkan dari titik ground check di Gapoktan sinar
harapan dan Gapoktan Trisno wana jaya bahwa dari kedua metode deteksi dari ke
tiga tutupan lahan hutan, Agroforestri, dan monokultur mendapatkan overall
97,17\% dengan menggunakan OOC. Hasil luasan tutupan lahan di hutan tahun 2016
? 2022 mendapatkan sebesar 24743,24 Ha dengan mengalami penurunan signifikan
16763,34 Ha. Sedangkan tutupan lahan agroforestry dari tahun 2016 ? 2022
mendapatkan 11486,20 Ha dengan mengalami kenaikan secara signifikan sebesar
19905,63 Ha. Tutupan lahan monokultur dari tahun 2016 ? 2022 mendapatkan
sebesar 13996,50 Ha sampai dengan 16935,25 Ha tutupan monokultur mengalami
kenaikan dan penurunan. Dinamika disana yang cukup drastis perubahannya, dari
kelas Hutan, Agroforestri, dan monokultur mengalami perubahan kenaikan dan
penurunan. Perburuan liar dan penebangan pohon untuk membuka lahan kopi.

Kata kunci: Agroforestri kopi, Penginderaan Jauh, Indeks Vegetasi, Object

Oriented Classfication, KPH Batutegi

Agroforestry is an agricultural system where trees are intercropped with one or
more annual crops. Trees can be planted as fences around food crop plots, randomly
within plots, or in other patterns such as lining up in rows to form aisles/fences.
One of the agroforestry models developed in Indonesia is coffee agroforestry. Coffee
agroforestry is capable of providing ecosystem services similar to forests, realising
social, economic and environmental (conservation) benefits. This research aims to
quickly detect the most accurate by using vegetation index methods such as NDVI,
EVI, SAVI, NBR, TDVI and using the Object Oriented Classification (OOC)
method. The results of this study show from the ground check points at Gapoktan
Sinar Harapan and Gapoktan Trisno Wana Jaya that from both detection methods
from the three land covers of forest, Agroforestry, and monoculture get an overall
97.17\% using OOC. The results of the land cover area in the forest in 2016 - 2022
obtained 24743.24 Ha with a significant decrease of 16763.34 Ha. While
agroforestry land cover from 2016 - 2022 obtained 11486.20 Ha with a significant
increase of 19905.63 Ha. Monoculture land cover from 2016 - 2022 obtained
13996.50 Ha to 16935.25 Ha of monoculture cover experiencing an increase and
decrease. The dynamics there are quite drastic changes, from the Forest,
Agroforestry, and monoculture classes experiencing changes in increase and
decrease. Poaching and felling of trees to clear land for coffee.

Kata kunci: Coffee Agroforestry, Remote Sensing, Vegetation index, Object

Oriented Classfication, Forest Management Unit Batutegi

Agroforestry is an agricultural system where trees are intercropped with one or
more annual crops. Trees can be planted as fences around food crop plots, randomly
within plots, or in other patterns such as lining up in rows to form aisles/fences.
One of the agroforestry models developed in Indonesia is coffee agroforestry. Coffee
agroforestry is capable of providing ecosystem services similar to forests, realising
social, economic and environmental (conservation) benefits. This research aims to
quickly detect the most accurate by using vegetation index methods such as NDVI,
EVI, SAVI, NBR, TDVI and using the Object Oriented Classification (OOC)
method. The results of this study show from the ground check points at Gapoktan
Sinar Harapan and Gapoktan Trisno Wana Jaya that from both detection methods
from the three land covers of forest, Agroforestry, and monoculture get an overall
97.17\% using OOC. The results of the land cover area in the forest in 2016 - 2022
obtained 24743.24 Ha with a significant decrease of 16763.34 Ha. While
agroforestry land cover from 2016 - 2022 obtained 11486.20 Ha with a significant
increase of 19905.63 Ha. Monoculture land cover from 2016 - 2022 obtained
13996.50 Ha to 16935.25 Ha of monoculture cover experiencing an increase and
decrease. The dynamics there are quite drastic changes, from the Forest,
Agroforestry, and monoculture classes experiencing changes in increase and
decrease. Poaching and felling of trees to clear land for coffee.

Kata kunci: Coffee Agroforestry, Remote Sensing, Vegetation index, Object

Oriented Classfication, Forest Management Unit Batutegi}
}