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Journal : Journal of Applied Agricultural Science and Technology

Spatial Characterization of NDVI-Based Vegetation Density in Smallholder Coffee Plantation on Mount Kawi’s Southern Slopes Sholikah, Dinna Hadi; Maharani, Nabilla Putry; Kusuma, Ramadhani Mahendra; Bella, Dewi Shasa; Sembiring, Yoga Gregorius; Wijayanti, Fitri; Soemarno, Soemarno
Journal of Applied Agricultural Science and Technology Vol. 9 No. 4 (2025): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v9i4.494

Abstract

Indonesia’s coffee cultivation covers 1.25 million hectares, predominantly managed by smallholders (98.14%). Malang Regency, a key production area in East Java, experienced a sharp yield decline from 29,728 tonnes (2021) to 14,151 tonnes (2022). This study investigates smallholder plantations in the Kletek sub-watershed, emphasising the role of shade vegetation in coffee growth. Shade density critically influences productivity and ecological resilience. To support sustainable management, vegetation cover is assessed via remote sensing using the Normalised Difference Vegetation Index (NDVI), enabling spatial analysis of canopy structure. This research aims to analyse the types of coffee shade trees on smallholder coffee farms. NDVI is used to distinguish differences in land cover, including coffee shade. The study employed a land survey using the grid method with 30 observation points. Spatial analysis involves spectral transformation of Sentinel-2A Harmonised imagery, while statistical analysis uses correlation tests. Smallholder coffee farms in the Kletek Sub-watershed feature shade plants such as lamtoro, mahogany, and banana trees. NDVI values across these plantations ranged from moderate (0.4–0.5) to very high (>0.6) vegetation density, showing a strong correlation with land cover conditions (r = 0.80). This confirms NDVI as an effective remote sensing tool for assessing shade vegetation, significantly influencing coffee productivity and ecological resilience. The findings support NDVI-based monitoring for precision agriculture and adaptive management, with scalable applications in sustainable land-use planning, agroforestry optimisation, and climate-resilient coffee cultivation in regions such as Malang Regency, where production has declined.
Co-Authors Aditya, Haidar Fari Agus Setia Budi, Agus Setia Andriansyah, Muhammad Afifi Aprilliana, Amanda Diva Aprilliana Ariani, Septi Asep Apriana, Asep Bakti Wisnu Widjajani Bella, Dewi Shasa Candra Damis Widiawaty, Candra Damis Chosa Zahro Fatiha Dadan Irwan Daffa, Muhammad Darmawan, Muhammad Aliefian Dewi, Rini Sartiya Dinna Hadi Sholikah Dwi Fajar Maulana, Yudhi Ekayuliana, Arifia Ekayuliana, Arifia Ernando, Arnol Wibi Febrianto, Muhammad Rafi Heni Puji Wahyuningsih Hesty Widyasih Holyo, Mohamad Rafael Bintang Indra Indra Intan Purnama, Aisah Iwan Kresna Setiadi Kristanti, Nasya Ari Lestari, Safira Riska Lestari, Safira Rizka M. Ghufron Chakim Maghfiroh, Ainur Risma Miftakhul Maharani, Nabilla Putry Mahendra Kusuma, Ramadhani Maroeto Maroeto Miqawati, Alfi Hidayatu Moch. Arifin Nila Susanti Nur Supriyadi, Yudi Pramono, Sigid Eko Puji Astuti Puji Lestari Tarigan Purnomo Edi Sasongko Putri Putri, Putri Rahmawati Wahab, Aliya Ramadhani Mahendra Kusuma Ramadhani, Winih Sekaringtyas Ranny Priyatna, Aulia Rifki Shihab , Muhammad Rohendi Rohidi, Tjetjep Saputro, Maryam Eyka Dijono Sasongko, Edi Purnomo Sembiring, Yoga Gregorius Siti Aisyah Soemarno Soemarno Sondang Sumbawati, Meini Sri Saptuti Wahyuningsih, Sri Saptuti Sri Wiyatiningsih Subhan, Aprellia Sofiatul Susi Endrawati Swari Mahardika, Mainar Titik Ismailia, Titik Wafiqah, Hidayatul Wahyu Santoso Wanti Mindari Wijaya, Riko Setya Wijayantiningsih, Sri Winarko, Sigitpuji Windriyanti, Wiwin Yunita, Yosi Yuwono, Shelsie Malini Putri Zuhro, Cholimatus