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All Journal Rawa Sains: Jurnal Sains STIPER Amuntai Indonesian Journal of Emerging Trends in Community Empowerment
Boris Kaido
Politeknik Kampar, Bangkinang, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Chemistry Education Library & Information Science

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Sosialisasi Pemanfaatan Area Kosong Metode Intercropping Lahan Kelapa Sawit Fase TBM di Desa Tanjung Rambutan Kampar Riau Feri Agriani; Sri Oktika Syahputri; Boris Kaido; Afdhal Afdhal; Fajar Aga Wandana
Indonesian Journal of Emerging Trends in Community Empowerment Vol. 3 No. 2 (2025): Desember
Publisher : PT Hakhara Akademia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71383/ijetce.v3i2.102

Abstract

The intercropping system on oil palm plantations in the Immature Plant (IMT) phase is a cultivation technique that utilizes the empty space between young oil palm plantations by planting other commodities with economic value. This practice not only provides additional income while the oil palm plantations have not yet entered the production period, but also plays a role in increasing soil fertility, reducing erosion, and optimizing the use of space on plantation land. Starting from this potential, this Community Service (PKM) activity aims to improve the understanding and skills of farmers in Tanjung Rambutan Village, Kampar, in applying the intercropping method on IMT land. The main problems faced by farmers are dependence on oil palm as the sole source of income, minimal knowledge of IMT land management, and limited capital and access to information. This PKM was implemented from April–June 2025 through the stages of needs surveys, extension, technical training, and evaluation. Extension was carried out through lectures, interactive discussions, leaflet distribution, and field demonstrations on land management techniques, selection of economically valuable intercrops, and plant spacing. The results of the activity showed an increase in farmers' understanding of the intercropping concept and an emerging interest in implementing the technique independently. The intercropping method has been shown to potentially increase farmer incomes during the TBM phase while improving soil quality, consistent with previous research. This program is expected to be the first step towards implementing sustainable agriculture through mentoring and further training in the region..
Identifikasi Perkebunan Kelapa Sawit Menggunakan Citra Sentinel-2 Dengan Algoritma Random Forest Afdhal; Feri Agriani; Boris Kaido; Sri Oktika Syahputri; Rizqy Qurnia Zary
Rawa Sains: Jurnal Sains STIPER Amuntai Vol. 16 No. 1 2026 Edisi Juni 2026
Publisher : LPPM Sekolah Tinggi Ilmu Pertanian Amuntai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36589/rs.v16i1.326

Abstract

The massive expansion of oil palm plantations has been widely associated with driving deforestation, necessitating accurate spatial inventories to support sustainable land management. This study aims to identify and map the spatial distribution of oil palm plantation land cover in Koto Kampar Hulu District, Kampar Regency, Riau Province, by applying Sentinel-2 satellite imagery and the Random Forest machine learning classification algorithm. The classification model was developed by integrating the original multispectral bands of Sentinel-2 imagery with biophysical index transformations (NDVI, NDWI, and NDBI) to delineate five primary land cover classes: forest, oil palm plantation, settlement, road, and river. Spatial analysis results indicate that the landscape of the study area is predominantly characterized by oil palm plantation cover, encompassing an area of 22,788.56 ha, followed by forest cover at 21,427.95 ha. The Random Forest algorithm proved highly effective in detecting vegetation classes, yielding remarkably low class error rates of 4.96% for oil palm and 3.91% for forest. Variable importance evaluation revealed that Band B2 (Blue) and Band B11 (SWIR) were the most significant spectral predictors in sustaining model accuracy performance. Despite its robustness in classifying vegetation classes, the 10-meter spatial resolution of Sentinel-2 imagery resulted in a high misclassification error rate of 84.92% for small linear objects such as roads, attributable to the mixed pixel phenomenon. Overall, the integration of the Random Forest algorithm and Sentinel-2 optical imagery is strongly recommended for regional-scale oil palm plantation land cover mapping
Optimalisasi Lahan Kelapa Sawit (Elaeis guineensis Jacq.) Fase Belum Menghasilkan (TBM) melalui Sistem Tumpangsari Jagung dan Kedelai di Desa Batu Belah Feri Agriani; Afdhal Afdhal; Sri Oktika Syahputri; Boris Kaido; Rizky Qurnia Zary; Fajar Aga Wandana
Indonesian Journal of Emerging Trends in Community Empowerment Vol. 4 No. 1 (2026): Juni
Publisher : PT Hakhara Akademia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71383/ijetce.v4i1.121

Abstract

Oil palm (Elaeis guineensis Jacq.) is Riau Province's leading plantation commodity, covering approximately 3.40 million hectares, of which smallholders manage 67.28%. During the roughly three-year immature (TBM) phase, oil palm land generates no harvest income while maintenance costs continue, reducing farmers' earnings. This community service program aimed to improve the knowledge and skills of oil palm farmers in Batu Belah Village, Kampar District, in optimizing TBM land through a maize-soybean intercropping system. Activities included a partner-needs survey, extension training with field demonstration, technical mentoring, and evaluation. Results show improved farmer understanding of intercropping techniques, planting distance, and nutrient management, along with a shift in perception that companion crops do not hinder oil palm growth when shading and spacing are properly managed. Agronomically, soybean contributes nitrogen fixation through Rhizobium symbiosis, while maize root systems help improve soil structure. Supporting studies from several regions report Land Equivalent Ratio (LER) values above 1.2-1.5 for maize-soybean or maize-groundnut intercropping under immature oil palm, indicating more efficient land use than monoculture. The program also opens an additional income stream for farmers during the oil palm waiting period, strengthens institutional synergy between Politeknik Kampar and village government, and offers a model that could be replicated in other TBM areas across Riau.
Co-Authors Afdhal Afdhal Afdhal Fajar Aga Wandana Feri Agriani Rizky Qurnia Zary Rizqy Qurnia Zary Sri Oktika Syahputri