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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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Effect of Land Use on Soil Water Storage in the Effective Depth (0–60 cm) Using the Water Balance Method Muara Dhika; Bakti Wisnu Widjajani; Maroeto Maroeto
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.v14i6.2414-2423

Abstract

Land use changes significantly impact groundwater storage, which is crucial for maintaining ecosystem balance and supporting agriculture. This study aims to evaluate groundwater storage capacity across various land uses in the Gunting Sub-watershed, Wonosalam District, Jombang Regency, East Java. Field surveys and soil sampling were conducted across three land use types: pine-coffee agroforestry, pine monoculture, and annual crops at effective soil depths (0-60 cm). The study was conducted using a water balance method and lasted for one year, from August 2022 to July 2023. Water balance components consisting of effective rainfall, surface runoff, percolation, and evapotranspiration, as well as soil properties such as organic carbon content, porosity, and texture, were analyzed. The results showed that agroforestry had the highest water storage (370,863.44±176.67 mm/year), followed by pine monoculture (307,153.36±229.98 mm/year), and annual crops (239,497.30±222.26 mm/year). Statistical tests showed that differences between land uses were not significant (p > 0.05). Organic matter content was the dominant factor influencing soil water storage (R² = 0.9189), followed by porosity (R² = 0.3019) and clay fraction (R² = 0.0172). All land use types showed a positive water balance throughout the year, with peak water storage occurring in February–May.
Effect of Substrate Composition and Liquid Organic Fertilizer from Kepok Banana Peels on Growth and Yield of White Oyster Mushroom (Pleurotus ostreatus) Nita Nur Laila; Felicitas Deru Dewanti; Nova Triani
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.v15i2.743-751

Abstract

This study aims to determine the impact liquid organic fertilizer (LOF) from kepok banana peels on the growth and yield of white oyster mushrooms under different substrates. The study was performed under factorial completely randomized design (4 x 4) with two factors. First factor was substrate (sawdust + rice husk) composition consisting of four levels with 25% to 100% sawdust. Second factor was concentration of LOF consisting of four levels (0; 100; 150; and 200 mL/L). Observation variables included early appearance of fruit bodies, number of caps, cap diameter, and fresh weight. The experimental data were analyzed using ANOVA followed by HSD test at α = 5%. Results showed that interaction of substrate composition and concentration of LOF significantly affected the early appearance of fruit bodies and number, diameter, and fresh weight of caps at harvest period 1 and 2. Substrate composition (50% sawdust + 50% rise husk) and concentration of LOF 200 mL/L resulted the highest fresh harvest weight with a total 249.70 g/baglog for thre harvest periods. The results of this study confirm that proper substrate composition and LOF concentration is required to achieve optimal growth and yield of white oyster mushroom.
Severity Level Classification of Bacterial Leaf Blight Disease (Xanthomonas oryzae) in Rice Plants (Oryza sativa L.) Based on VARI Image Processing Rafi Dwi Nugraha; Hery Nirwanto; Sri Wiyatiningsih
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.v15i2.652-662

Abstract

Bacterial leaf blight (BLB) caused by Xanthomonas oryzae is one of the main diseases threatening rice productivity in Indonesia. This study aims to classify the severity of BLB in rice plants more effectively using drone-based image processing technology with the VARI (Visible Atmospherically Resistant Index) vegetation index approach. The study was conducted in Wonoayu Subdistrict, Sidoarjo Regency, covering an area of 17 hectares using a DJI Phantom 4 Pro drone equipped with an RGB camera for image acquisition. The data was then analysed through pre-processing, segmentation using the K-Means Clustering method and edge detection, and classification using the Convolutional Neural Network (CNN) algorithm. The results showed that the CNN classification model was able to identify five levels of attack (healthy, mild, moderate, severe, and dead) with an accuracy of 82.25%, and the classification map was able to distinguish the spatial distribution of the disease in agricultural land. This model also showed better performance than conventional monitoring methods. The use of VARI-based image processing from drones has proven effective as an early disease detection method, providing precise solutions for rice plant health management.
The Potential of Bacillus sp. and FOBIO Biopesticide with Mustard Greens (Brassica rapa L. var. parachinensis) as Bioremediation Agents for Cadmium Dykha Maretha Setyawan; Endang Tri Wahyu Prasetyawati; Sri Wiyatiningsih
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.v15i1.1-9

Abstract

Cadmium (Cd) contamination in agricultural land due to excessive use of fertilizers and pesticides has detrimental effects on soil quality, plant growth, and human health. Bioremediation offers a simple and environmentally friendly approach to address this issue. This study aimed to evaluate the potential of Bacillus sp., FOBIO biopesticide, and green mustard (Brassica rapa L. var. parachinensis) as bioremediation agents for Cd-contaminated soil. The experiment was conducted using a Completely Randomized Design (CRD) with seven treatments and four replications. Observed parameters included Cd concentration in the soil before and after remediation, as well as the growth and physiological responses of mustard plants. The application of FOBIO biopesticide without plants resulted in the highest Cd reduction (4.57 mg/kg), while the combination of Bacillus sp. and mustard plants reduced Cd by 4.11 mg/kg, and mustard plants alone reduced Cd by 2.40 mg/kg, outperforming the control. FOBIO biopesticide application significantly enhanced leaf number, plant height, and fresh weight compared to other treatments. These findings indicate that Bacillus sp., FOBIO biopesticide, and green mustard have strong potential as bioremediation agents for Cd-contaminated soils.
Diversity and Low Parasitism of Egg Parasitoids Associated with Maize (Zea mays) in Madura, Indonesia Panca Ayu Virgirl; Wiwin Windriyanti; Ramadhani Mahendra Kusuma
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.v15i2.832-840

Abstract

This study aimed to explore and identify egg parasitoids associated with maize (Zea mays) in Keleyan Village, Bangkalan Regency, Madura. Field observations were conducted during both vegetative and generative growth stages using a direct survey method. Eggs of lepidopteran pests were collected and reared under laboratory conditions to observe the emergence of adult parasitoids. The results showed that only one genus of egg parasitoid was found, namely Trichogramma spp., which parasitized the eggs of Spodoptera frugiperda at a parasitism rate of 17.3%. This rate was low for a biological control program. These findings indicate that the presence of natural parasitoids in the study area was not sufficiently effective in suppressing pest populations under natural conditions. Nevertheless, Trichogramma spp. still shows potential as a biological control agent, particularly if supported by augmentative or conservation-based approaches. This results can be used as foundation for the development of ecological-based environmentally friendly, and sustainable pest control strategies in lowland maize cultivation systems, especially in the Madura region.
The Influence of Zinc Biofortification on the Growth, Yield, and Zinc Content in Several Rice Varieties (Oryza sativa L.) Kholfira Masoyogie; Muhammad M Kamal; Eko Pramono; R A Diana Widyastuti; Muhammad Syamsoel Hadi
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.v15i2.779-791

Abstract

Rice productivity faces challenges due to soil degradation and nutrient deficiencies. This study aims to evaluate the effects of zinc (Zn) biofortification through foliar spray on growth, yield, potassium (K) uptake, and zinc (Zn) content in rice grains. The study also assesses the response of different rice varieties to zinc application and analyzes the interaction between zinc and varieties in enhancing productivity and zinc content, which could potentially support stunting prevention efforts. The research was conducted in the rice fields of Maja Village, Pesawaran Regency, Lampung, from July to October 2024, using a split plot design. Zinc treatments included seed priming and foliar spray at the vegetative and generative stages. The results showed that zinc application significantly increased plant height, productive tillers, flowering time, number of grains per panicle, percentage of filled and empty grains, 1,000-grain weight, as well as harvest dry grain (HDG) and dry unhusked rice (DUR). Treatment P4 (priming and zinc application at both vegetative and generative stages) showed the best response, with an average increase in zinc content in rice grains of 56% compared to the control. Nutri Zinc variety showed the highest potassium uptake and zinc content. The interaction between zinc and variety had a significant impact on 1,000-grain weight and HDG. This study highlights that zinc biofortification can improve rice production and increase zinc content in rice, supporting stunting prevention.
Artificial Neural Network Backpropagation Method for Predicting Soil Nutrient Content: Artificial Neural Network Backpropagation Method for Predicting Soil Nutrient Content Witaningsih Witaningsih; Sri Ratna Sulistiyanti; Mareli Telaumbanua; F X Arinto Setyawan; Helmy Fitriawan; Rita Anggraini
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.v14i6.2424-2438

Abstract

Monitoring soil nutrient levels such as nitrogen (N), phosphorus (P), and potassium (K) is essential to support fertilizer efficiency and sustainable agricultural land management. However, commonly used laboratory-based analytical methods are time-consuming and costly. Therefore, alternative approaches that are more practical and efficient are needed. This study aimed to develop an Artificial Neural Network (ANN)-based system for predicting soil nutrient levels using soil physical parameters, namely pH, temperature, moisture content, and electrical resistance, as input variables. Data were collected from red-yellow podzolic soil subjected to different fertilization treatments. After normalization, the data were trained using an ANN model with four input nodes, two hidden layers (each consisting of five nodes), and one output node, employing the backpropagation algorithm and evaluating 27 combinations of activation functions. The training results showed coefficients of determination (R²) of 0.9642 for nitrogen, 1.0000 for phosphorus, and 0.9996 for potassium, with RMSE values of 0.0107, 10.5386, and 0.016457 and RRMSE values of 8.5048%, 0.79786%, and 1.581111%, respectively. During validation, R² values of 0.7218 (nitrogen), 0.6479 (phosphorus), and 0.6137 (potassium) were obtained. Nitrogen prediction exhibited good accuracy (RMSE 0.0222; RRMSE 15.54%), potassium prediction showed moderate accuracy (RMSE 0.2963; RRMSE 28.46%), while phosphorus prediction resulted in relatively high errors (RMSE 1066.77; RRMSE 80.98%), indicating the need for further model development.
Sensory Profiling of Brewed Cascara Robusta, Clove, and Using the Rate-All-That-Apply Method: Profil Sensori Seduhan Cascara Robusta, Cengkeh, dan Penggunaan Metode Rate-All-That-Apply Firza Farianshah Difandra; Riski Ayu Anggreini; Hadi Munarko
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.v15i1.408-418

Abstract

Cascara is a residual product of coffee cherry processing, has the potential to be utilized as a brewed beverage with a distinctive taste and aroma; however, its sensory characteristics are sometimes less favored by panelists. To enhance its sensory quality and mask undesirable flavors, the addition of cloves and cinnamon was employed. This study aimed to describe and determine the sensory attributes of cascara beverages with the addition of cloves and cinnamon using the Rate-All-That-Apply (RATA) method. Prior to the RATA assessment, total phenol content and color analyses were conducted across various concentration levels. The RATA test involved 70 panelists who evaluated 14 sensory attributes. Principal Component Analysis (PCA) results indicated that sample P1 (100% Cascara) was associated with a bitter aroma; sample P2 (90% Cascara:5% Cinnamon:5% Clove) was characterized by a bitter taste and aftertaste, sweet aroma, watery mouthfeel, and lingering sensation; sample P3 (80% Cascara: 10% Cinnamon: 10% Clove) exhibited a spicy taste, aroma, and aftertaste, along with a distinctive spice aroma; whereas samples P4 (70% Cascara: 15% Cinnamon: 15% Clove) and P5 (60% Cascara: 20% Cinnamon: 20% Clove) were associated with a yellowish color and high brightness levels. These findings suggest that the incorporation of additional ingredients may further enhance consumer acceptance and overall sensory appeal.
Karakteristik Fisikokimia dan Stabilitas Antioksidan Ekstrak Ubi Jalar Ungu (Ipomoea batatas L.) Tagor M Siregar; Fandy Kusno
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.v15i1.290-300

Abstract

Purple sweet potatoes are known to contain a natural pigment and antioxidant called anthocyanins, whose stability is affected by pH and temperature. This study aimed to determine the physicochemical characteristics of extracts from different purple sweet potato (PSP) varieties and to evaluate the antioxidant stability of the extracts under various pH and temperature conditions. The PSP powders from three varieties—Bogor, Cilembu, and Murasaki (Japan) were extracted using the maceration method with 70% and 96% ethanol. The stability of the selected extract was tested at pH levels of 1, 3, 5, 7, and 9, and temperatures of 20, 40, 60, and 80°C. Results showed that variety significantly affected extract yield, water content, antioxidant activity, and total anthocyanin, phenolic, and flavonoid contents. The Bogor variety extracted with 96% ethanol yielded the best results, with 15.70±1.40% yield, 14.10±0.15% water content, 185.23±3.95 mg Fe²⁺/g antioxidant activity, 5.26±0.35 mg CyE/g anthocyanin, 40.35±3.87 mg GAE/g phenolic, and 5.12±1.05 mg QE/g flavonoid content. Increasing pH enhanced antioxidant activity and lightness, while color intensity decreased. Increasing temperature raised anthocyanin content and color parameters but reduced antioxidant activity. Under pH 1 and 80°C, the extract showed the highest anthocyanin content (6.01±0.44 mg CyE/g), a* (12.57±0.63), b* (0.73±0.06), and chroma (12.59±0.63) values.
Utilization of Banana Pseudostem Biomass Waste and Coconut Pulp as Briquettes for Alternative Energy Sources: Utilization of Banana Pseudostem Biomass Waste and Coconut Pulp as Briquettes for Alternative Energy Sources Mellyta Uliyandari; Asep Supriatna; Eka Cahaya Prima
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.v14i6.2359-2369

Abstract

This study aims to utilize banana pseudostem and coconut pulp waste as raw materials for biomass briquettes, evaluate their physical and thermal characteristics, and assess their potential as alternative fuel sources. The research methods included drying, grinding, mixing, molding, and briquette testing. Characterization was conducted through hardness testing using a digital sclerometer, morphological and particle size analysis using a digital microscope, calorific value measurement using a bomb calorimeter, and thermal degradation analysis using Thermogravimetric Analysis (TGA). The hardness test showed that pure banana pseudostem briquettes had the highest compressive strength according to the P3HH standard, while the addition of coconut pulp tended to reduce it. Increasing the proportion of coconut pulp produced larger average particle sizes, affecting briquette porosity. The highest calorific value, 16,829.73 J/g, was obtained from a 50:50 composition, indicating that the oil and lignin content in coconut pulp contributes to combustion energy. TGA analysis revealed that briquettes with higher banana pseudostem content exhibited greater heat resistance, while those with more coconut pulp ignited faster and left less residue. In conclusion, briquettes made from banana pseudostem and coconut pulp can be used as an alternative solid fuel, with compositions adjustable according to the desired energy output and combustion characteristics.

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