ARDIANSYAH, RAMADHANI MUHAMMAD YUSUF (2025) ESTIMASI KANDUNGAN KALIUM PADA TANAMAN SALAK MENGGUNAKAN METODE GREEN NORMALIZED DIFFERENCE VEGETATION INDEX DI KALURAHAN WONOKERTO, TURI, SLEMAN, D.I YOGYAKARTA. Skripsi thesis, UPN Veteran Yogyakarta.
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Abstract
ESTIMASI KANDUNGAN KALIUM PADA TANAMAN SALAK
MENGGUNAKAN METODE GREEN NORMALIZED DIFFERENCE
VEGETATION INDEX DI KALURAHAN WONOKERTO, TURI,
SLEMAN, D.I YOGYAKARTA
Oleh: Ramadhani Muhammad Yusuf Ardiansyah
Dibimbing oleh: Sari Virgawati
ABSTRAK
Salak (Salacca zalacca) merupakan komoditas hortikultura unggulan di Kabupaten
Sleman, namun mengalami penurunan produktivitas yang diduga disebabkan oleh
defisiensi unsur kalium. Penelitian ini bertujuan untuk mengestimasi kandungan
kalium dalam jaringan tanaman salak menggunakan indeks vegetasi Green
Normalized Difference Vegetation Index (GNDVI) dari citra satelit Sentinel-2 serta
mengevaluasi akurasi metode tersebut dibandingkan hasil uji laboratorium.
Penelitian dilakukan di Kalurahan Wonokerto, Turi, Sleman, D.I Yogyakarta
dengan metode deskripstif kuantitatif. Sebanyak 30 titik sampel dianalisis, terdiri
atas 20 titik prediksi dan 10 titik acuan. Data GNDVI diperoleh melalui pengolahan
citra Sentinel-2 menggunakan perangkat lunak ArcGIS, sedangkan kadar kalium
jaringan diukur menggunakan metode pengabuan basah dengan HNO₃ dan HClO₄.
Pengambilan sampel daun yang berada di bagian tengah pelepah sebagai indikator
fisiologis tanaman. Analisis statistik menggunakan uji korelasi Pearson Product
Moment, uji regresi linear, uji Paired Sample T-Test, dan Root Mean Square Error.
Hasil penelitian menunjukkan nilai korelasi (r) sebesar 0,604, yang tergolong dalam
kategori hubungan kuat. Model regresi yang diperoleh memiliki koefisien
determinasi (R²) sebesar 0,5858, yang berarti GNDVI mampu menjelaskan 58,58%
variasi kandungan kalium jaringan. Model regresi yang dihasilkan menunjukkan
tidak ada perbedaan yang signifikan terhadap hasil nilai rata-rata. Nilai Root Mean
Square Error sebesar 0,19445 mengindikasikan tingkat kesalahan prediksi yang
relatif rendah. Hasil ini menunjukkan bahwa penggunaan GNDVI berpotensi
sebagai metode estimasi kalium jaringan tanaman secara non-destruktif, efisien,
dan ekonomis. Peta hasil prediksi dapat dimanfaatkan untuk mendukung
manajemen pemupukan kalium pada tanaman salak di daerah penelitian.
Kata Kunci: GNDVI, Kalium Jaringan, Sentinel-2, Salak
ESTIMATION OF POTASSIUM CONTENT IN SALAK PLANTS USING
GREEN NORMALISED DIFFERENCE VEGETATION INDEX METHOD
IN WONOKERTO VILLAGE, TURI, SLEMAN, YOGYAKARTA
By: Ramadhani Muhammad Yusuf Ardiansyah
Supervised by: Sari Virgawati
ABSTRACT
Salak (Salacca zalacca) is a leading horticultural commodity in Sleman Regency,
but has experienced a decrease in productivitywhich is thought to be caused by
potassium deficiency. This study aims to estimate potassium content in salak plant
tissues using the Green Normalised Difference Vegetation Index (GNDVI) from
Sentinel-2 satellite imagery and evaluate the accuracy of the method compared to
laboratory test results. The research was conducted in Wonokerto, Turi, Sleman,
Yogyakarta using quantitative descriptive method. A total of 30 sample points were
analysed, consisting of 20 prediction points and 10 reference points. GNDVI data
was obtained through Sentinel-2 image processing using ArcGIS software, while
the potassium content of the tissue was measured using the wet-soaking method
with HNO₃ and HClO₄. Leaf samples were taken at the centre of the midrib as a
physiological indicator of the plant. Statistical analysis used Pearson Product
Moment correlation test, linear regression test, Paired Sample T-Test test, and Root
Mean Square Error. The results showed a correlation value (r) of 0.604, which is
classified as a high relationship category. The resulting regression model shows no
significant difference to the average value results. The Root Mean Square Error
value of 0.19445 indicates a relatively low level of prediction error. These results
indicate that the use of GNDVI has the potential to be a non-destructive, efficient,
and economical method of estimating plant tissue potassium. The prediction map
can be utilised to support potassium fertilisation management in salak plants in the
study area.
Keywords: GNDVI, Tissue Potassium, Sentinel-2, Salak Plants
| Item Type: | Tugas Akhir (Skripsi) |
|---|---|
| Uncontrolled Keywords: | GNDVI, Tissue Potassium, Sentinel-2, Salak Plants |
| Subjek: | S Agriculture > S Agriculture (General) |
| Divisions: | Fakultas Pertanian > (S1) Ilmu Tanah |
| Depositing User: | Eko Yuli |
| Date Deposited: | 20 Nov 2025 02:17 |
| Last Modified: | 20 Nov 2025 02:17 |
| URI: | http://eprints.upnyk.ac.id/id/eprint/45603 |
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