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All Journal Jurnal Pengabdian Magister Pendidikan IPA Journal of Applied Agricultural Science and Technology ABDINE Jurnal Pengabdian Masyarakat
Dinna Hadi Sholikah
Department Of Agrotechnology, Faculty Of Agriculture, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya, Indonesia
Agriculture, Biological Sciences & Forestry Education Other

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Optimalisasi Lahan Di Bawah Tegakkan Tanaman Kopi Melalui Budidaya Tanaman Kapulaga (Elletria cardamomum), Di Desa Sumber Rejo, Purwosari, Kabupatrn Pasuruan Purwadi; Dinna Hadi Sholikah; Jojok Dwiridotjahjon; Purnomo Edi Sasongko
Jurnal Pengabdian Magister Pendidikan IPA Vol 8 No 3 (2025): Juli-September 2025
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v8i3.12422

Abstract

Sumber Rejo village is one of the villages in Purwosari district, Pasuruan Regency, which is famous for a coffee production. The livelihood of the people of Sumber Rejo village largely relies on the results of coffee plantations and farm workers, where coffee production is still relatively low. The farming results from the 24.3 ha of people's coffee plantation land owned by members of the “Sinar Agro Permata” farmer group, where in the 2024 harvest season, the average is only 2 quintals per hectare of ground dry coffee. In general, the existing conditions of Kucur Hamlet, Sumber Rejo Village, Purwosari District, Pasuruan Regency are as follows: (1) not optimal land use under the coffee plant stand with cardamom biopharmaceutical plant commodities, which are economically very promising. (2) Not many farmers know the high economic value of cardamom plants. (3) The participation of the farmer group “Sinar Agro Permata” in supporting the development and improvement of economic capacity through the development of a cardamom plant commodity nursery. Based on the existing conditions mentioned above, the purpose of community service activities is to help find solutions to problems including 4 (four ) aspects, namely the following : (1) optimization of land under the coffee stand with cardamom plant cultivation, (2) assistance in producing cardamom seeds, (3) assistance in cardamom cultivation on agroforestry land under the coffee plant stand, (4) empowering Poktan” Sinar Agro Permata” in an effort to increase the economic capacity of the community through cardamom breeding efforts. Methods used (1) provide understanding, socialization, and utilization/optimization of land.under the coffee stand with plants of high economic value “cardamom", (2) provide assistance in producing cardamom seeds under the coffee stand, (3) provide assistance in cardamom cultivation techniques on land under the coffee plant stand. (4) Empowering Poktan “Sinar Agro Permata”. The result of community service is cardamom seeds, and a demo of cardamom cultivation plots under the coffee plant stand Keywords: Cardamom, Optimization, Nursery
Pemanfaatan Drone untuk Evaluasi Spasial dalam Pengembangan Kawasan Wisata Kopirejo Pasca Bencana di Kecamatan Wajak Hadi Sholikah, Dinna; Prabowo Harliando, Dimas; Zahro Fatiha, Chosa; Aulia Hanuf, Atiqah; Lutfi, M. Wasilul; Soemarno, Soemarno
ABDINE: Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2025): ABDINE : Jurnal Pengabdian Masyarakat
Publisher : Sekolah Tinggi Teknologi Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52072/abdine.v5i1.1312

Abstract

Kawasan Kopirejo, yang terletak di Desa Bambang, Kecamatan Wajak, Kabupaten Malang, merupakan daerah pasca erupsi Gunung Semeru yang sedang dikembangkan sebagai desa wisata dengan komoditas utama kopi dan durian. Wilayah ini memiliki karakteristik tanah dominan berpasir dan topografi yang bervariasi, dengan risiko erosi yang cukup tinggi. Dalam upaya mendukung pengelolaan lahan secara berkelanjutan, teknologi drone digunakan sebagai alat monitoring kondisi fisiografi lahan secara real-time.Pengabdian masyarakat ini dilakukan melalui pendekatan pemetaan partisipatif, yang mengintegrasikan data hasil observasi lapangan dengan pemetaan drone beresolusi tinggi. Hasil pemetaan menunjukkan bahwa kondisi biofisik lahan mempengaruhi produktivitas tanaman kopi dan durian, serta perlunya strategi konservasi yang sesuai. Pemanfaatan drone terbukti efektif dalam memberikan informasi spasial mengenai kemiringan lereng, tutupan lahan, serta perubahan kondisi tanah pasca erosi.Implementasi teknologi drone diharapkan dapat meningkatkan pengelolaan kebun kopi rakyat, memperkuat upaya revegetasi, serta mengoptimalkan pengembangan desa wisata Kopirejo secara sosial-ekonomi dan agroekosistem. Integrasi antara akademisi, masyarakat, dan pemerintah menjadi kunci keberlanjutan program ini.
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 Aulia Hanuf, Atiqah Bella, Dewi Shasa Chosa Zahro Fatiha Dimas Prabowo Harliando Fitri Wijayanti Jojok Dwiridotjahjon Lutfi, M. Wasilul Maharani, Nabilla Putry Purnomo Edi Sasongko Purwadi Ramadhani Mahendra Kusuma Sembiring, Yoga Gregorius Soemarno Soemarno