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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 Thawing Process on the Quality of Chicken Thigh Meat Anggita Reizda Siman; Winiati Pudji Rahayu; Uswatun Hasanah
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.v15i1.385-395

Abstract

Frozen meat handling, especially during the thawing stage, can affect meat quality and influence the final product. This study aimed to evaluate the effects of thawing method and duration on the quality of frozen and steamed chicken thigh meat. The experiment was arranged in a completely randomized design with two replications. The thawing methods included room temperature (4, 5, 6 h), blast thawing (75, 105, 135 min), and cold temperature (18, 21, 24 h). The observations included drip loss, total plate count (TPC), total free fatty acids (FFA), and soluble protein content. The effect of thawing on steamed meat quality was evaluated for the texture, protein content, fat content, and hedonic scores. The data were statistically analyzed using one-way ANOVA test continued by independent sample t-test. The results showed that thawing duration within the same method did not significantly affect drip loss or TPC, but longer thawing times increased FFA across all methods. Prolonged thawing at room and cold temperature significantly reduced soluble protein content. Thawing at cold temperature for 18 h was the most effective with the lowest drip loss (1.12%) and the highest soluble protein content (34.4 mg/g). Results of steamed meat analysis showed significant differences in texture and fat content between thawed and fresh meat, but no significant differences was observed in protein content or hedonic scores
Estimation Model of Robusta Coffee (Coffea canephora) Productivity Based on Soil, Plant, and Remote Sensing Data Mochtar Fauzi; Nisfi Fariatul Ifadah; Soemarno Soemarno; Kurniawan Sigit Wicaksono
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.v15i1.52-62

Abstract

Coffee is an important global commodity, and understanding the relationships among factors influencing its productivity is essential for improving production efficiency. This study aimed to evaluate the effects of soil, plant, and remote sensing variables on Robusta coffee productivity. The production estimation model included soil variables (potassium, pH, and electrical conductivity), crop variables (plant height, crown diameter, and chlorophyll content), and remote sensing data (NDVI). Data were collected directly from field plots measuring 10 m × 10 m. Multiple linear regression models were developed to improve prediction performance. Model accuracy was evaluated using paired t-tests, RMSE, and RRMSE. The results showed that the model based on soil and crop data (R² = 0.85) performed slightly better than the model based on soil, plant, and NDVI data (R² = 0.88). Furthermore, the soil and crop data-based model produced lower error values (RMSE = 2659.44; RRMSE = 11%) than the model incorporating NDVI (RMSE = 2737.10; RRMSE = 12%). These findings indicate that soil and plant variables play a dominant role in predicting coffee productivity, while remote sensing data provide complementary information. This study provides a comprehensive understanding of the integrated influence of soil, plant, and remote sensing variables in estimating and improving Robusta coffee productivity.
Analysis and Prediction of Water Availability Criteria in Potato Using High-Resolution Aerial Photography Istika Nita; Aditya Nugraha Putra; Shofie Rindi Nurhutami; Michelle Talisia Sugiarto; Novandi Rizky Prasetya
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.v15i1.198-212

Abstract

Indonesia’s potato fields are typically small and fragmented, making coarse resolution moisture products prone to spatial mismatch and limiting their usefulness for precision water management. This study developed plot scale, water based suitability information for potato by integrating UAV multispectral imagery with field measurements of soil water availability and plant height response. UAV imagery was processed into four vegetation indices, namely NDWI, SAVI, MSAVI, and SR, followed by geostatistical mapping. Relationships between indices and measured water availability were evaluated using correlation, linear regression, paired t test, and principal component analysis to examine inter index structure and redundancy. NDWI showed the most consistent performance, with a moderate positive correlation with measured water availability (r = 0.47), while SAVI and MSAVI were negatively correlated (r = −0.46) and SR showed the weakest association (r = −0.33). The NDWI based regression for water availability estimation was y = 0.50x + 29.68 with R² = 0.22. The paired t test indicated no significant difference between NDWI based estimates and field measurements, with mean values of 30.09 percent and 30.52 percent, respectively, across 17 observations. Water based land suitability classes were then refined using boundary line analysis linking water availability to plant height response, producing plot scale criteria suitable for precision zoning rather than landscape level evaluation.
Comparative Analysis of Traditional and Modern Broiler Farms Using Google Colab t-test and Data Visualization Galuh Adi Insani; Bayu Dwi Apri Nugroho; Ahmad Romadhoni Surya Putra; Andri Prima Nugroho
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.v15i2.487-498

Abstract

This study aims to compare production performance between modern and traditional broiler farming systems in Indonesia and to evaluate the potential of digital data recording for decision-making support. Despite high feed prices, welfare concerns, and socioeconomic constraints, many farmers utilize modern technology to enhance their efficiency. Due to cost and production, many traditional farmers continue to use traditional farming practices. Production data were collected from modern and traditional farms in Gunungkidul District, Yogyakarta Province. Data were analyzed using Python-based t-tests and correlation heatmaps in the Google Colab environment. Data analysis revealed significant differences (p < 0.01) in feed intake (FI) and performance index (PI), but not in body weight (BW), average daily gain (ADG), or feed conversion ratio (FCR). Traditional and modern farming systems differ in FI and PI. Heatmaps enhance understanding of correlations, revealing a high association between FI, BW, and FCR (r ≥ 0.70), whereas modest relationships exist between FI, BW, and ADG. The results enable farmers to determine whether to enhance elements with moderate and strong correlations or solely those with strong correlations; they also permit the cooperative to assess farmers’ production based on broiler production and management practices.
Kinetics of Thermal-Induced Physical Quality Alterations in Chicken Meat Processing Nadya Klaresza Audrey; Eko Hari Purnomo; Nur Wulandari
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.v15i1.110-123

Abstract

Thermal processing of food often leads to a reduction in quality, highlighting the need to optimize heating conditions based on the kinetics of quality changes. This study investigated the physical quality of chicken meat—including cooking loss, water-holding capacity, texture, and color—during heating in a water bath (75 and 95 °C) and a pressure cooker (110 °C) for defined durations and modeled the kinetics of these changes. Heat distribution tests confirmed uniform temperatures, as indicated by minimal differences between thermocouples and the cold spot, while heat penetration tests ensured thorough heating, with lag times of 18.25 ± 2.25, 16.13 ± 4.58, and 19.25 ± 4.77 minutes at 75, 95, and 110 °C, respectively. Changes in physical quality at constant temperatures followed first-order reaction kinetics, and the temperature effect was described using the Arrhenius equation. The Arrhenius model revealed that higher temperatures accelerated the rate of quality changes, resulting in increased cooking loss, shear force, L*, and browning index, whereas water-holding capacity and cohesiveness decreased. Comparison of the D and Z values for physical quality parameters with those of Clostridium botulinum spores (D121.1 °C = 0.22 min, Z = 10 °C) suggested that high-temperature, short-time treatments could minimize detrimental changes in chicken meat while effectively inactivating target microorganisms.
The Effect of Solar Radiation on the Performance of Tilted Bifacial Photovoltaics Luthfi Saepulloh; Udin Komarudin; Rudi Darussalam
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.v14i6.2404-2413

Abstract

A solar panel technology known as bifacial photovoltaics (PV) allows sunlight to reach both the front and rear of the module. The purpose of this study is to assess how temperature and solar radiation affect tilt-mounted bifacial photovoltaic systems' performance in tropical regions, particularly in Indonesia. The experiment was conducted in an outdoor location in Bandung. The bifacial PV modules were installed a 15˚ tilted angle facing north, with the PV modules positioned 1.2 meters above ground level on an asphalt base. The experiment was conducted under three different weather conditions: sunny, cloudy, and partly cloudy. Based on the experimental results under sunny conditions, the average solar radiation, surface temperature, and PV power generated were 923.8 W/m², 51.1 ℃, and 245.7 W, respectively. Under cloudy conditions, the average solar radiation, surface temperature, and PV power generated were 458.9 W/m², 43.1 °C, and 91 W, respectively. Meanwhile, under partly cloudy conditions, the average solar radiation, surface temperature, and PV power output are 661.6 W/m², 50.2 °C, and 215.8 W, respectively. The highest efficiency was achieved during partly cloudy weather at 15.85%, followed by sunny weather at 11.99%, and the lowest during cloudy weather at 7.73%.
Growth and Yield of Vertical Hydroponic Lettuce under Liquid Organic Fertilizer and Shade Intensity Treatments Ika Purnamasari; Tri Ratnasari; Berlian Cindy Febrian; Annisa Lailatus Sufiah; Bintang Kurniawan; Ummi Sholikhah; Tri Wahyu Saputra; Wildan Muhlison
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.v15i2.689-701

Abstract

Lettuce (Lactuca sativa L.) production needs to be increased to fulfill increasing demand. Application of liquid organic fertilizer (LOF) in the hydroponic nutrient solution and adding shade to reduce solar radiation intensity are expected to improve lettuce yield. The purpose of this study was to investigate the effect of providing shade and adding LOF as a nutrient to optimize the results of hydroponic lettuce cultivation in Situbondo Regency. This study used a factorial Randomized Block Design (RBD) with UV plastic shading as a factor at different levels, namely 6% and 14%. The second factor was the nutrient composition used, namely 100% AB mix, 25% LOF + 75% AB mix, and 50% LOF + 50% AB mix. The results showed that the interaction of the two factors showed a significant difference in the chlorophyll content of plant leaves. The application of each factor was able to influence plant height, number of leaves, fresh weight, leaf area, leaf color, and crispness level, but did not affect the canopy area of lettuce plants. The use of 14% UV plastic and the addition of 25 LOF, separately resulted the highest yield of lettuce.
Verification of Alternative Agar Plate Method for Quantitative Analysis of Yeasts and Molds in Cocoa Products Chairia Faulita Ananti; Uswatun Hasanah; Harsi Dewantari Kusumaningrum
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.v15i1.213-222

Abstract

Cocoa beans are vital raw materials in the food industry and are processed into various cocoa products. These products must meet quality and food safety standards, as contamination by yeasts and molds can reduce product quality and shelf life. Conventional microbiological methods often require long incubation times, delaying quality control. This study aimed to verify Symphony Agar as a rapid method for enumerating yeasts and molds in cocoa products following ISO 16140-3:2021 guidelines and to compare it with conventional methods. Verification consisted of two stages: (1) implementation verification, assessing standard deviation of intralaboratory reproducibility (SIR), and (2) food item verification, assessing estimated bias (eBias). Implementation verification on cocoa powder yielded SIR values of 0.121 log₁₀ CFU (pour plate) and 0.171 log₁₀ CFU (spread plat), both below the acceptable threshold, indicating good reproducibility. Food item verification using cocoa powder, cocoa cake, and cocoa liquor showed eBias values under 0.5 log₁₀, meeting the requirements. A comparative study using an independent t-test found no significant difference between Symphony Agar and DG18 Agar. The results indicate that Symphony Agar is suitable as an alternative medium for yeasts and molds analysis in cocoa products, offering the benefit of a shorter incubation time without compromising accuracy.
Study of Thermal Imaging Potential for Early Detection of Fusarium sp. Pathogen on Rice Seeds (Oryza sativa L.) Avianita Agustianti; Herry Nirwanto; Maroeto Maroeto
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.v15i1.90-100

Abstract

The early detection of Fusarium sp. infection in rice seeds is crucial for improving agricultural productivity and food security. Traditional methods like the Blotter Test, while effective, are time-consuming and require specialized personnel. This study explores the potential of thermal imaging technology to detect Fusarium sp. infections on rice seeds quickly and non-destructively. Rice seeds were inoculated with Fusarium sp. and incubated for seven days, during which surface temperatures were measured daily using the Fluke iSee TC01A thermal camera. The results showed that infected seeds exhibited significantly higher surface temperatures compared to control seeds, particularly from days 3 to 6 of incubation. Scatterplot analyses revealed clear temperature differences between infected and uninfected seeds, supporting the hypothesis that thermal imaging can serve as an early indicator of Fusarium infection. The study also demonstrated the high sensitivity and specificity of thermal imaging, particularly on days 2 to 4 of the incubation period. Logistic regression analysis confirmed the significant relationship between seed temperature and infection status, with prediction accuracy up to 91%. This research suggests that thermal imaging technology could replace traditional methods, offering a faster, more efficient approach for seed health monitoring in the agricultural industry.
Development of Web-Based Application for Analysis and Design of Steam Power Plant System Parameters Using Biomass Fuel Offianda Kurniawan; Muhamad Yulianto; Mohamad Solahudin; Haris Mawardi; Lalu Muh Fathul Aziz Al Azhari
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.v14i6.2439-2457

Abstract

The process of physically prototyping a power generation system is time consuming and costly. Adopting the concept of Digital Twin Technology offers a solution to improve the efficiency in prototyping processes. This study aims to develop a web-based application called ThePOCI for thermal analysis of steam power plant systems working with ideal Rankine cycle, and to evaluate the accuracy of the developed application. The ThePOCI thermal system application consisted of two main modules: Steam Power Plant Design and Combustion Analysis. Validation of the Combustion Analysis module revealed the largest calculation errors in the thermal-based model for variables including flue gas temperature (13.08%), temperature of boiler exit working fluid (16.93%), and turbine power (10.49%), yet all fall within the low error range. Validation of the Steam Power Plant Design module produced deviations of ideal and actual operating conditions of 2.22% and 0.88%, respectively, categorized as highly accurate. The validation results confirm that ThePOCI can accurately simulate the physical system of a steam power plant based on the ideal Rankine cycle. System emission calculations indicate potential for further research on the use of Calliandra biomass in Organic Rankine Cycle (ORC)-based steam power plants, identified as the fuel producing the lowest emissions at 3,742.20 kgCO2e/kW.

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