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Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)
Published by Universitas Lampung
ISSN : 2302 559X     EISSN : 2549 0818     DOI : -
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.
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Articles 1,170 Documents
Design and Implementation of an Artificial Neural Network Model for Soil Nitrogen Prediction Rita Anggraini; Sri Ratna Sulistiyanti; Helmy Fitriawan; FX Arinto Setyawan; Mareli Telaumbanua; Witaningsih Witaningsih
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.v15i2.732-742

Abstract

The availability of nitrogen in soil is a crucial factor determining crop productivity. However, the measurement of total nitrogen (N-total) content requires considerable time and cost. Therefore, a fast, accurate, and easy prediction method is needed to support the agricultural development. This study aims to develop an Artificial Neural Network (ANN) model based on the backpropagation algorithm to identify soil N-total content using soil pH, moisture content, and soil resistance as input parameters. The model was trained using the trainbr training function with variations of logsig and tansig activation functions and hidden layer structures of 5–5, 8–8, and 12–12 to obtain the best configuration. The training results indicate that the tansig–tansig combination with 8–8 hidden layer structure achieved the highest performance, with a R2 training of 0.953 and a R2 testing of 0.911. The model was implemented in the form of a Graphical User Interface (GUI) application to facilitate field-level prediction. Validation using 40 testing data samples showed a classification accuracy of 70% and an R² value of 0.932 for nitrogen prediction. The model correctly classified 28 data samples out of the total 40 tested data. These results indicate that the proposed model is capable of predicting soil nitrogen content accurately and reliably.
Evaluation of Thermal Performance and Energy Efficiency of a Continuous Milk Pasteurization System Using a PTFE Pipe and Vegetable Oil Heating Medium Agus Sutejo; Gilang Ramdani; Muhammad Juliandika; Dinur Saptiadi
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.v15i2.761-778

Abstract

Continuous milk pasteurization systems require efficient heat transfer and energy utilization to ensure product safety and processing efficiency. However, the performance of systems utilizing alternative heating media, such as vegetable oil, is limitedly explored. This study aimed to evaluate a prototype continuous milk pasteurization system consisting of PTFE (Polytetrafluoroethylene) tubing submerged in vegetable oil heated by LPG. Experimental measurements (temperature at inlet/outlet, oil temperatures, mass flow) were combined with Computational Fluid Dynamics (CFD) using water as a surrogate fluid to analyze residence time, temperature rise, and heat-transfer performance under real operating conditions. At an oil average temperature of 131 °C, CFD and experiments showed milk reached a temperature of 72 °C after 6 m of tubing length, and then over the next 10 m. However, at an average flow speed of 0.955 m/s, the resulting residence time at ~72 °C was 10.47 s (below the HTST requirement of 15 s). Energy analysis indicated a fuel input of 1783.7 W, oil uptake of 634.4 W (35.6%), and useful heat of 139.5 W (7.8%), giving a system total efficiency of ~8.2%. Microbiological tests (Escherichia coli and Staphylococcus aureus) of treated samples complied with SNI ISO 7388:2009. Design modifications (longer tubing, alternative pipe materials, improved insulation, and heat recovery) are required to achieve HTST residence time and improve energy efficiency.
Evaluation of Sustainable Environmentally Friendly Agriculture: Empirical Evidence in Ngawi Regency Rita Parmawati; Amin Setyo Leksono; Aminudin Afandhi; Soemarno Soemarno; Akhmad Adi Sulianto
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.v15i1.456-469

Abstract

Ngawi Regency is a major rice production center in East Java, playing a strategic role in supporting food security. However, conventional farming practices that depend heavily on chemical inputs have caused environmental degradation, soil nutrient imbalance, and reduced farmer welfare. To address these issues, the local government implemented the Sustainable Environmentally Friendly Agriculture (PRLB) program to promote a more adaptive and sustainable system. This study evaluates the sustainability status of PRLB across five dimensions—ecological, economic, social, technological, and institutional—and identifies key leverage factors. A multidimensional quantitative approach using Multi-dimensional Scaling (MDS) with RAP-FARM software was applied. Data were collected from 204 farmers and experts, supported by institutional records. The analysis included the calculation of sustainability indices, identification of sensitive attributes through leverage analysis, and Monte Carlo validation. Results show that PRLB is moderately sustainable, with an overall index of 67.28 on a 0–100 scale. Dimension scores were 63.43 (ecology), 69.04 (economy), 71.30 (social), 65.30 (technology), and 67.32 (institutional). Sensitive attributes include organic fertilizer use, waste management, by-product valorization, farmer group participation, youth regeneration, and extension services. Monte Carlo validation confirmed stable results. Overall, PRLB shows positive progress but requires strengthening, particularly in ecological, technological, and institutional aspects.
Performance Evaluation of a Prototype Rotary Dryer for Granulated Palm Sugar Drying Gilang Ramdani; Agus Sutejo; Wawan Hermawan; Annastasha Diandra Putri
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.v15i1.431-444

Abstract

Granulated palm sugar requires efficient drying to meet industrial quality standards and accelerate production. This study aimed to evaluate the performance of a prototype rotary dryer in reducing moisture content to a maximum target of 2.5%. Tests were conducted at rotation speeds of 23.83±0.1 RPM and 41.83±0.1 RPM with drying durations of 1, 2, and 3 h using a 500-g batch capacity. All treatments were performed in triplicates, and successfully reduced moisture below the 2.5% target, meeting SNI 01-3743-2021 and the company’s internal standards. The optimal condition, determined using the Simple Additive Weighting (SAW) method, was 23.8±0.1 RPM for 1 h, resulting in a final moisture of 2.4%, a product loss of 14.4%, and the lowest energy cost of IDR 821. Higher rotation speed increased the product loss to 55.07% due to centrifugal forces and uneven heat distribution. Sugar adhering to the cylinder walls highlighted the need for improved fin design and airflow. Future development should incorporate stable heating, expanded rotation speed (15–50 RPM) and temperature (60–80°C) variations, and automatic controls for small- to medium-scale food industry applications.
Assessing the Impact of Land Cover Change on Peak Discharge Using HEC-HMS: Case Study of the Batang Timpeh Watershed, Indonesia Deddy Irwansyah; Indratmo Soekarno; I Nyoman Yogi Mertawiasa; Resi Nisa Nurhadid; Yosephina Puspa Setyoasri
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.v15i2.580-596

Abstract

Recent deforestation driven by illegal logging, forest fires, and land conversion for oil palm plantations has significantly altered land cover conditions; however, its quantitative impact on peak discharge in the downstream Batang Timpeh Watershed remains poorly understood. This study aims to assess the impact of land cover change on peak discharge using the HEC-HMS model with the SCS-CN method, calibrated against the bankfull discharge of the Batang Timpeh River. Land cover data from 2015, 2019, and 2022 were analyzed using ArcGIS and integrated into hydrological simulations for a 20-year return period (Q20). The results indicate that peak discharge increased from 469.60 m³/s in 2015 to 478.30 m³/s in 2022, representing a 1.85% increase. This increase is associated with higher Curve Number (CN) values and the expansion of impervious areas, indicating reduced infiltration capacity and a more rapid runoff response. These findings demonstrate that land cover change has significantly contributed to the intensification of peak discharge and increased flood potential in the downstream area, providing a quantitative basis for improving land use planning and developing more effective flood risk mitigation strategies in the Batang Timpeh Watershed, particularly in Dharmasraya Regency.
Design and Performance Evaluation of an IoT-Based Automatic Airflow Control System for a PV/T Solar Dryer with Silica Gel Adsorption Heat Storage Putri Arsyafdini Oktavionry; Leopold Oscar Nelwan; I Dewa Made Subrata
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.v15i1.153-163

Abstract

Solar energy is one of the most promising renewable energy sources, yet solar drying operating costs often remain prohibitive for small-scale farming. This research aims to design and evaluate the performance of an automated air flow control system for a PV/T collector integrated with an adsorption channel. The methodology focuses on developing a real-time monitoring and control logic based on environmental parameters. The system utilizes a microcontroller-based unit for data acquisition of temperature and humidity, coupled with a high-torque motor actuation system to regulate valve positioning between the collector and the desiccant unit. Results indicate that the control system manages air distribution effectively across a temperature control range of 40 °C to 4 3°C. The system demonstrated high responsiveness with a mechanical actuation speed of 3 seconds for a full 90-degree valve rotation. During the adsorption phase, the silica gel's moisture content rose from 23.57% to 27.38%. Furthermore, the silica gel adsorption unit contributed to thermal stability by maintaining a temperature gradient of 3-7 °C between the plenum and the environment, effectively recycling adsorption heat to enhance the drying air temperature even during low solar radiation.
Image-Based Classification of Robusta Coffee Roasting Degree Using LDA–KNN with Color and Shape Features Desi Kris Tanti Ritonga; Usman Ahmad; Sutrisno Suro Mardjan
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.v15i2.710-719

Abstract

The determination of robusta coffee roast levels is commonly conducted through visual assessment, which is inherently subjective and prone to inconsistency due to overlapping visual characteristics between adjacent roasting stages. On the other side, objective measurement equipment is often costly and not easily accessible. This study addresses this problem by proposing a digital image–based classification method for five robusta coffee roast levels (green, light, medium, medium-dark, and dark). Parameters included color feature extraction from RGB (Red, Green, Blue), HSV (Hue, Saturation, Value), and shape features including area, perimeter, and circularity are extracted from captured images. A hybrid Linear Discriminant Analysis (LDA) and K-Nearest Neighbor (KNN) classifier with Manhattan distance is employed to enhance class separability and improve classification accuracy. Model performance was evaluated using a confusion matrix (precision, accuracy, recall and F-1 score). Results showed that by integrating multiple visual features and employing a hybrid classification strategy, the proposed approach was able to improve the classification of Robusta coffee roasting levels. The evaluation using a 90:10 data split with an optimal k = 16 resulted in the highest accuracy of 83%.
Development and Characterization of Nutmeg Shell-Based Activated Carbon for Ethylene Adsorption in Fruit Storage Sri Ayu La Aji; Usman Ahmad; Dyah Wulandani
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.v15i2.841-851

Abstract

Nutmeg shells are categorized as hardwood containing carbon such as cellulose and lignin, making them ideal for use as a material for producing activated charcoal. Activated charcoal can be used as an additive to absorb ethylene, O₂, CO₂, and H₂O to slow down fruit ripening. This study was conducted to produce and characterize ethylene absorbers made primarily from Fakfak nutmeg shells and to determine the effectiveness of ethylene absorbers in delaying the ripening of climacteric fruits. Ethylene adsorbents were produced using a pyrolysis method followed by chemical activation. Characterization of surface area and functional groups was performed through SEM and BET tests, as well as FT-IR tests. To ensure the effectiveness of the absorption capacity, the chemical-physical properties were characterized in accordance with Standard of Indonesia and gas chromatography. The results of the activated charcoal test showed a change in the surface area from 298.211 m²/g to 335.198 (BET). FT-IR test results showed the formation of functional groups, namely -OH, C=C, CO₂, C-H, and C-O groups. GC test results showed 90.5% ethylene absorption. The application of nutmeg shell adsorbent on bananas using sealed LDPE plastic packaging showed that nutmeg shell adsorbent was able to maintain banana quality up to 15 days, although there was no significant difference between treatments (p > 0.05).
Natural Convection and Thermal Stratification in a Biomass Oven Fueled by Non-Carbonized Kesambi Leaf Briquettes: An Experimental Study Jemmy Jonson Sula Dethan; Fredrik Julius Haba Bunga; Erich Umbu Kondi Maliwemu
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.v15i2.752-760

Abstract

This study investigates the vertical temperature distribution, natural convection behavior, and thermal performance of a biomass oven fueled by non-carbonized Kesambi leaf briquettes. Temperature measurements were conducted at multiple vertical positions inside the oven to characterize heat distribution and buoyancy-driven airflow during operation. The results show a clear vertical temperature stratification, indicating that heat transfer within the oven is dominated by natural convection without external airflow assistance. Dimensionless analysis revealed Rayleigh numbers on the order of 10⁸–10⁹, confirming the prevalence of buoyancy-induced convection, while the Nusselt number varied dynamically in response to changes in temperature difference and operating conditions. The middle region of the oven (50–60 cm from the base) consistently exhibited the most stable thermal conditions, identifying it as the most effective zone for heat utilization and smoking applications. The thermal efficiency of the oven ranged from 32% to 38%, with variations primarily influenced by combustion intensity and transient heat losses through uninsulated walls and the chimney. These findings demonstrate that non-carbonized Kesambi leaf briquettes can provide stable heat output for biomass ovens and offer practical insights for optimizing oven height, heating zones, and design improvements in small-scale food processing applications.
Evaluation of Site-Specific Methane Emission Factors from Biogas Production in Tapioca Industrial Wastewater Treatment Systems Eva Martha Pratiwi; Dewi Agustina Iryani; Rahmat Safe'i; Agus Haryanto; Samsul Bakri; Udin Hasanudin
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.v15i2.811-820

Abstract

Tapioca processing in Indonesia generates high-strength wastewater that can emit substantial methane (CH4) without sufficient treatment. The objective of this study is to determine a site-specific methane emission factor (B₀) for biogas power generation based on an anaerobic covered lagoon (ACL) and compares it with the IPCC default. Research was conducted on biogas power plant based on cassava wastewater with a capacity of 2 × 1.5 MW in Central Lampung. Twenty-two months of full-scale monitoring database included wastewater flow, COD, biogas yield volume, and methane concentration across wet and dry seasons. The results show that covered anaerobic lagoon systems with biogas recovery can effectively reduce fugitive methane. Using AMS-III.H and IPCC methods, a strong linear relationship between methane production and COD removal produced a site-specific B₀ of 0.2302 kg CH4/kg COD (0.321 m3 CH4/kg COD), slightly below the IPCC value. Lower yield was likely influenced by seasonal dilution, operational variability, and partial degradation of cassava-based organics. Results of this research emphasize the need for site-specific emission factors to improve Indonesia’s GHG inventories and mitigation strategies.

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