Claim Missing Document
Check
Articles

Efisiensi Irigasi Kapiler Berbasis Capillary Mat pada Berbagai Jenis Sayuran Daun dengan Media Substrat Cocopeat dan Arang Sekam Widya Andani; Ahmad Tusi; Elhamida Rezkia Amien; Sugeng Triyono
Jurnal Agricultural Biosystem Engineering Vol. 5 No. 2 (2026): June 2026
Publisher : abe.fp.unila.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jabe.v5i2.13183

Abstract

Water scarcity and low surface irrigation efficiency are major constraints to leafy vegetable productivity in dryland farming. Capillary mat-based irrigation offers a solution through efficient water distribution to the root zone. This study aimed to analyze capillary irrigation efficiency using a cocopeat and rice husk charcoal mixture (1:1) on three leafy vegetables (pakcoy, lettuce, caisim), and to compare the effects of capillary mat lengths of 50% (M1) and 100% (M2) on water use efficiency and plant productivity. The experiment employed a Split-Plot Design within a Completely Randomized Design with three replications (18 experimental units). Measured parameters included environmental conditions (temperature, RH, VPD), nutrient quality (pH, EC, TDS), plant growth (height, leaf number, canopy area, root length, root fresh weight), yield (shoot fresh weight), water consumption, and water productivity.  The results showed that M2 provided a larger water supply than M1 but did not show a significant difference in water use efficiency. Average water productivity for M1 and M2 was 48.69 g/L and 49.86 g/L, respectively. Plant type influenced yield, with caisim producing the highest shoot fresh weight (92.3 g) under M2K3, while lettuce produced the lowest (38 g) under M1K2. Root parameters did not show a consistent interaction pattern between mat treatment and plant type. Economically, M1 was more efficient, with costs Rp10,640.00 lower per bed unit compared to M2. This study recommends using a 50% capillary mat (M1) for pakcoy and lettuce cultivation. Future research can be improved by selecting plants with uniform harvest periods, applying an automated microclimate control system, and utilizing high-precision water level sensors.
Monitoring The Crowns Of Palm Oil Plants in Central Lampung Regency Using Remote Sensing Techniques Ridwan Ridwan; Elhamida Rezkia Amien; Sandi Asmara; Ahmad Tusi; Faadiyah Nurul Azmi; Ilham Nur Syamto
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 13 No 2 (2025): Jurnal Ilmiah Rekayasa Pertanian dan Biosistem
Publisher : Fakultas Teknologi Pangan & Agroindustri (Fatepa) Universitas Mataram dan Perhimpunan Teknik Pertanian (PERTETA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jrpb.v13i2.1189

Abstract

Crude palm oil (CPO) productivity in Central Lampung Regency, at 2.25 tons/ha/year, remains below the national average of 3.90 tons/ha/year. One of the contributing factors is that oil palm plants are not growing optimally. This is reflected by the fact that the canopy cover is not dense or uniform. The objective of this study was to assess the dense or crown of oil palm trees using remote sensing technology from satellite imagery. In this study, Sentinel-2 imagery was used to oil palm canopy closure, and Landsat 8 imagery was used for land suitability analysis. The research method includes the vegetation index analysis by Normalized Difference Vegetation Index (NDVI), land moisture index by the Normalized Difference Moisture Index (NDMI), Land Surface Temperature (LST), and land suitability parameters. The results of the analysis are then macthed with the conditions of oil palm plants in the field. The results obtained from this study indicate that oil palm plantations in the Bekri District can be categorised into two discrete classes: Class S2 (sufficiently suitable) and Class S3 (marginally suitable). The total area encompassed by these classes is 8,903 hectares, with Class S2 covering 7,615 hectares and Class S3 covering 218 hectares. Moreover, the study revealed that 3,721 hectares were conducive to optimal plant growth with a dense crown, 765 hectares exhibited normal crown and growth, and 310 hectares displayed suboptimal growth with an indicated uniform dense crown. The overall accuracy rate of the study is 81.82%. There is a positive correlation between NDVI and NDMI values with a correlation coefficient (R2) of 0.8426, but there is a negative correlation between the NDVI and LST values with a correlation coefficient of -0.586.