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Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)
Published by Universitas Lampung
ISSN : 2302 559X     EISSN : 2549 0818     DOI : -
Core Subject : Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Engineering
Jurnal Teknik Pertanian Lampung or Journal of Agricultural Engineering (JTEP-L) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented researches in the whole aspect of Agricultural Enginering including but not limited to Agricultural Mechanization, Irrigation, Soil and Water Engineering, Postharvest Technology, Renewable Energy, Farm Structure, and related fields. The first issue was published in October 2012 by Department of Agricultural Engineering, Faculty of Agriculture, University of Lampung. Jurnal Teknik Pertanian Lampung has ISSN number 2302 - 559X for print edition on October 10, 2012 then 2549 - 0818 for online edition on January 10, 2017. Jurnal Teknik Pertanian Lampung is issued periodically four times a year in March, June, September, and December. Jurnal Teknik Pertanian Lampung has been indexed by Google Scholar, Crossref, Directory Open Access Journals (DOAJ), and CABI. Since Volume 5 Issue 1 (2016) Jurnal Teknik Pertanian Lampung has been accredited as SINTA 3 by Directorate General of Higher Education (DIKTI). Starting Volume 10 Issue 3 (2021) the journal received accreditation SINTA 2.
Arjuna Subject : -
Articles 1,170 Documents
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Studi Banjir Kota Sungai Penuh di DAS Batang Merao (Studi Kasus: Kecamatan Hamparan Rawang) Ary Firmana; Eka Oktariyanto Nugroho; Aziz Rizal Prasetiyo; Maulya Wijayanthi Sulistiyani; Adhyatma Taufik Akbar
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 1 (2026): February 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i1.124-134

Abstract

In January 2024, a major flood from Batang Merao River occurred in Sungai Penuh City, submerging residential areas and agricultural land to a depth of 0.5–1.5 m. One of the most severely impacted areas was Hamparan Rawang District with a total of 3985 houses and 866.025 ha of agricultural land inundated. This research aims to identify effective flood management alternatives to reduce inundation area and mitigate flood losses. The research was carried out through hydrological analysis, hydraulic analysis using HEC-RAS, and loss analysis using the ECLAC (Economic Commission for Latin America and the Caribbean) method. The study found that with Q25 discharges of 48.34 m³/s upstream and 720.62 m³/s downstream, an existing inundation area of 968.64 ha occurred, resulting in total losses of IDR 95.239 billion. Therefore, two flood management scenarios were developed, scenario 1 (river normalization) and scenario 2 (combination of river normalization and retention pond). Modeling results showed the inundation area under scenario 1 was 802.78 ha, reduce losses to IDR 43.604 billion (45.78% reduction). Under scenario 2, the inundation area was 780.51 ha, reduce losses to IDR 42,001 billion (44.10% reduction). Scenario 2 is effective for reducing inundation area, but for reducing financial losses, scenario 1 is more effective.
Performance Evaluation of an Automatic Mixing Bed Dryer for Paddy Using Corncob Biomass Fuel Siswoyo Soekarno; Apriza Fatkur Roziqin; Ning Puji Lestari; Rufiani Nadzirah
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.860-870

Abstract

Drying is an essential stage in post-harvest rice handling to reduce the moisture content to a safe storage level (≤14%). This study aimed to evaluate the field performance of a bed dryer automixing type rice dryer fueled by corncob biomass. The experiment was conducted at the Organic Rice Mill Tani Jaya II, Rowosari Village, Jember Regency, with three actual drying capacities of 1 ton, 1.2 ton, and 1.7 ton of paddy. The observed parameters included temperature distribution, moisture reduction, drying rate, and energy efficiency. The results showed that the highest temperature occurred in the lower layer of the paddy bed (35.5 ‐ 41 °C), while the final moisture content in all treatments was below 14%. The drying rate fluctuated due to the mixing process and variations in hot air temperature, with the highest efficiency obtained at a capacity of 1.7 ton (58.32%). These findings indicate that the bed dryer automixing type rice dryer performs effectively under field conditions with varying load capacities and is suitable to be applied as a biomass based drying solution that can accelerate the drying process and operate effectively during the rainy season.
Competitiveness of Indonesian Cocoa in Major Export Destination Countries Using Porter’s Diamond Model Approach Risqi Firdaus Setiawan; Teguh Soedarto; Hamidah Hendrarini; Mubarokah Mubarokah
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 6 (2025): December 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i6.2327-2337

Abstract

Indonesia is one of the world’s leading cocoa producers, yet its contribution to global value-added cocoa exports remains relatively low. This structural gap highlights the need to evaluate not only production capacity but also the competitiveness of Indonesian cocoa in international markets. This study aims to evaluate the competitiveness of Indonesian cocoa exports in four main destination countries: India, China, Malaysia, and the Philippines. Data sources were obtained from UM Comtrade, ITC Trademap, International Cocoa Organization (ICCO), and BPS. The analysis was conducted by combining methods of the Revealed Comparative Advantage, Export Competitiveness Index, and the Porter's Diamond Model. The results show that Indonesia still has a comparative and competitive advantage in several markets, especially India. The average RCA value was 10.41 in Malaysia, 9.42 (China), 5.40 (India), and 3.97 (the Philippines). Meanwhile, the ECI value is greater than one, namely 1.21 (India), 1.09 (China), 1.08 (Malaysia), and 1.05 (the Philippines). These advantages, however, are volatile and highly dependent on natural resource factors. Weak domestic demand, inconsistent quality standards, limited downstream industry capacity, and fragmented policy coordination remain key structural challenges. This research emphasizes that strengthening competitiveness not only requires the maintenance of comparative advantage, but also its transformation into a sustainable competitive advantage through institutional reform, cross-sector policy integration, and value-added product innovation.
Keragaman Genetik Bawang Putih Varietas Lumbu Kuning dan Lumbu Hijau Efek Iradiasi Sinar Gamma 60CO Adin Novitasari; Afifuddin Latif Adiredjo; Lita Soetopo
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 1 (2026): February 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i1.233-242

Abstract

Garlic has limited genetic variability because the offspring are phenotypically identical to the parent plant. One approach to increase variability is mutation breeding using gamma irradiation. This study aimed to evaluate the effects of different gamma-ray doses on growth characteristics, physiological traits, chromosome number, and to determine the LD₅₀ (lethal dose 50%) in Lumbu Kuning and Lumbu Hijau garlic varieties. The experiment was conducted from May to September 2021 in Ngroto Village, Pujon District, Malang Regency, using a single-plot design with observations on individual plants. Garlic bulbs were irradiated with gamma rays at doses of 0, 2, 4, 6, 8, and 10 Gy. The t-test analysis of the M0 generation indicated that gamma irradiation significantly affected growth parameters, including leaf length and width, number of leaves, and plant height, compared to the control. The lowest mean leaf length (7.81 cm), number of leaves (3.22), and plant height (12.32 cm) were observed in the Lumbu Hijau variety at 10 Gy, while the lowest leaf width (0.37 cm) occurred in Lumbu Kuning at 8 Gy, indicating phenotypic reduction at higher doses. The highest chlorophyll content (1,091 mg/g) was recorded in Lumbu Hijau treated with 8 Gy. Gamma irradiation also induced chromosomal abnormalities, including aneuploidy with chromosome numbers such as 2n=2x−1 and 2n=2x+4. These results demonstrate that low-dose gamma irradiation can generate useful variability for garlic improvement programs.
Improving Alluvial Soil Properties and Edamame (Glycine max L. Merr.) Growth Using Compost–Biochar Agusalim Masulili; Rini Suryani; Sutikarini Sutikarini
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.852-859

Abstract

Edamame cultivation on alluvial soils in West Kalimantan faces persistent challenges related to poor soil quality, including low organic matter content, compacted structure, and limited nutrient retention capacity. This study evaluated the effectiveness of compost-biochar amendment to enhance soil properties and edamame growth on alluvial soil. A completely randomized design with 13 treatments in triplicates was employed, combining compost biochar doses (5, 10, and 15 ton/ha) with varying NPK fertilizer reduction levels (0%, 25%, 50%, and 75%). Compost consisted of water hyacinth compost and rice husk biochar mixed at 1:1 ratio (v/v), applied one week before planting. Results demonstrated significant improvements in both vegetative growth and soil chemical properties (p<0.05). The treatment combining 15 ton/ha compost with 25% NPK (C12) produced the highest number of branches (7.67) and trifoliate leaves (25.50), representing increases of 109% and 63% respectively over the control. Application of 10 ton/ha compost with 50% NPK reduction (C8) optimally enhanced soil organic carbon to 1.90% and water retention to 37.61%, demonstrating 46% and 7.2% improvements over untreated soil. These findings indicate that compost–biochar amendment can substantially improve soil quality while maintaining edamame growth under reduced NPK input. A reduction of up to 50% of NPK fertilizer is achievable without compromising soil improvement and plant performance, highlighting the potential of this approach for sustainable edamame production on alluvial soils.
Portable Vis–NIR Spectroscopy Using AS7265X for Detecting Carbide-Ripened Cavendish Bananas Nurul Hanisah; Ifmalinda Ifmalinda; Andasuryani Andasuryani
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.543-553

Abstract

Cavendish banana (Musa acuminata Cavendish) is one of the horticultural crops whose ripening is often accelerated using calcium carbide (CaC₂), which is harmful to health, thus requiring a scientific method to distinguish natural and artificial ripening. This study aimed to examine the potential of Visible–Near Infrared (Vis-NIR) spectroscopy using the AS7265X multispectral sensor, operating at 410–940 nm, which is portable and more affordable than a laboratory spectrophotometer. A total of 120 samples were used, consisting of 90 unripe (stage 2) and 30 naturally ripened (stage 6) bananas. Linear Discriminant Analysis (LDA) was employed to classify the spectral data, achieving a classification accuracy of 100%. The Vis-NIR spectral patterns showed apparent differences among treatments. Unripe bananas had high reflectance in the blue–green region, while tree-ripened bananas showed increased reflectance in the red and NIR regions. The 64 g/kg carbide treatment yielded a spectral pattern resembling natural ripening, whereas the single lump carbide treatment showed lower reflectance values across most wavelengths. These findings confirmed the potential of the AS7265X sensor to efficiently and non-destructively distinguish between natural and artificial ripening. Practically, this suggests that low-cost, portable sensors can be effectively deployed for real-time field inspection and quality control within the fruit supply chain. Future study need to validate the method using larger and independent datasets.
Analisis Indeks Kualitas Tanah Pada Beberapa Satuan Penggunaan Lahan Di Sub DAS Manten Pradana Fajar Gumilar; Maroeto Maroeto; Bakti Wisnu Widjajani
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 1 (2026): February 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i1.470-477

Abstract

The Manten Sub-watershed faces land degradation problems due to improper land management. This study aims to identify the soil physical quality index across various land use types in the Manten Sub-watershed and to evaluate potential improvement alternatives. A descriptive quantitative method was applied by analyzing the Soil Physical Quality Index (SPQI) through the measurement of soil physical parameters such as bulk density, particle density, texture, structure, porosity, permeability, and soil organic carbon. Three land use types were evaluated in this research, including dryland or upland, rice field, and garden. Five sampling points were determined to score SPQI for each land use type. The results show that dryland farming and paddy fields can be classified as moderate to slightly good, with SPQI score values ranging from 0.57–0.73 and 0.63–0.70, respectively. Meanwhile, garden land use is classified as fairly good with SPQI score values of 0.70–0.73. Suggested improvement alternatives include the addition of organic matter and the implementation of soil conservation practices, such as proper tillage, cover cropping, and crop rotation.
Innovative Weed Control Technologies in Oil Palm Circles: Evaluating Effectiveness and Cost Efficiency at the Immature Phase Heru Wansyah Harahap; Hartini Hartini
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 1 (2026): February 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i1.184-197

Abstract

Weeds become major constraint in oil palm plantations as they compete for nutrients, light, and water, thereby extending the non-productive period. This study aimed to evaluate the effectiveness of weed control methods on the dominant weed species in the immature oil palm plants (TBM). The research was conducted at Johan Sentosa Estate, PT Agrinas Palma Nusantara, using a Randomized Block Design with three treatments and 10 replications. The treatments involved A (450 mL/ha glyphosate + 22.7 g/ha metsulfuron-methyl), B (manual weeding), and C (450 mL/ha paraquat + 22.7 g/ha metsulfuron-methyl). Observation included weed mortality, regrowth, phytotoxicity, and operational cost. Data was analyzed using Kruskal–Wallis and Mann–Whitney tests at a 5% significance level. Results showed significant differences among treatments (p < 0.05) with manual weeding (B) achieved the highest weed mortality in the early observation (mean rank = 15.50) but incurred the highest annual cost 589,621.45 IDR/ha. Treatmant A provided the most effective suppression of weed regrowth up to the 8th week (mean rank = 15.50) with annual cost 355,056.61 IDR/ha, and treatment C showed comparable effectiveness to A but a lower cost 339,397.25 IDR/ha. None of the treatments caused phytotoxicity symptoms (score 0) on oil palm plants. The treatment A using glyphosate and metsulfuron-methyl was identified as the most effective and cost-efficient weed control method for immature oil palm circles.
Kinerja Convolutional Neural Network untuk Klasifikasi Level Kadar Air Tanah Berdasarkan Gambar Permukaan Tanah Hasbi Mubarak Suud; Subhan Arif Budiman; Ebban Bagus Kuntadi; Dwi Erwin Kusbianto; Ika Purnamasari
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.571-579

Abstract

Computer vision offers a promising method for soil moisture assessment especially for real-time field monitoring where sensor-based measurements are limited. This study evaluates the performance of a traditional Convolutional Neural Network (CNN) and ResNet-50 architecture for classifying soil moisture levels directly from in-situ surface images. The research involved 200 field-captured images and corresponding moisture data from a rainfed agricultural area. The models were trained with datasets grouped into two, three, and four moisture categories to test performance under varying complexity. The results showed poor model performance, characterized by high instability and severe overfitting across all experiments. Model accuracy for the traditional CNN significantly decreased from 0.513 to 0.256 as the number of classification categories increased and from 0.487 to 0.205 for ResNet-50. High RMSE values from 0.433 to 0.507 further confirmed substantial prediction errors. This finding highlights the limitation of RGB-based in-situ imagery for soil moisture classification, where environmental variability dominates the visual signal. It also suggests that soil moisture-related features are not sufficiently distinguishable under uncontrolled field conditions. The study concludes that the high variability of direct field images due to factors like inconsistent lighting, illumination, and the presence of non-soil objects is a primary obstacle to accurate classification. Future studies should implement advanced pre-processing techniques such as segmentation to reduce illumination noise.
Smart Solar Dome Dryer: IoT-Integrated Automatic Hybrid Drying System for Cereal Grains Hanis Adila Lestari; Luthfi Wahab; Triat Adi Yuwono
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 1 (2026): February 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i1.372-384

Abstract

The drying process for cereals is essential to reduce the moisture content of grains to an optimal level of 12%; however, it is often hindered by the unpredictable tropical climate. This study aimed, firstly, to design a solar dome dryer for drying grains using solar energy and, secondly, to develop an automatic control system for a hybrid solar-heated system based on the Internet of Things (IoT). The research started with engineering design, followed by drying test using single-factor of different grains. The Solar Dome Dryer (SDD) was constructed with a lightweight steel frame covered by UV-resistant plastic, sizing 2 × 1 m and with a capacity of 25 kg. It is equipped with an exhaust and heater operating in a hybrid mode during day and night, controlled by DHT22, BH1750, and capacitive soil moisture sensors integrated with a Smart SDD application on a smartphone. Results showed that percentage error, MAE, RMSE, and R² values were below 1%, indicating high sensor accuracy and consistency. The final moisture contents of 12% were achieved in the following grains: rice 4.72 h, red rice 6.20 h, glutinous rice 6.20 h, black glutinous rice 6.62 h, feed maize 7.35 h, sweet maize 7.62 h, glutinous maize 7.27 h, white sorghum 6.20 h, brown sorghum 5.99 h, and red sorghum 5.64 h. ANOVA of drying using SDD was faster than conventional, even while performing drying during rainy conditions.

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