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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 1,077 Documents
Hydrological Performance of Way Linti Watershed Based on Discharge Fluctuation Coefficient, Runoff Coefficient, and Sediment Load Sofyan, Alfi; Yuwono, Slamet Budi; Hilmanto, Rudi; Setiawan, Agus; Safe'i, Rahmat
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 4 (2024): December 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i4.1206-1215

Abstract

The response of the hydrological characteristics of a watershed to rain events is strongly influenced by land cover conditions and topography. The research was carried out in the Way Linti watershed Pesawaran District, Lampung Province. This study aims to learn of hydrological characteristics of Way Linti watershed which is includes the calculation of the discharge fluctuation coefficient (DFC), runoff coefficient (RC) and Sedimentation. The method used in this study refers to the Minister of Forestry Regulation No. 61/2014 concerning Monitoring and Evaluation of Watershed Performance. The data collected includes rainfall, land coverage, river discharge data and sedimentations. The results of the data collection were analyzed to determine the actual condition of hydrological performance of Way Linti watershed. The results of research of the hydrological characteristics of the Way Linti showed that discharge fluctuation coefficient (DFC) of 367.94 which is very high category, runoff coefficient (RC) of 0.193 (very low category), and sediment load (SL) of 58.78 mg/l (very high category). Keywords: Coefficient Runoff, Discharge Fluctuation Coefficient, Sediment Load.
Artificial Neural Network Model for Shallot Disease Severity Prediction Using Drone Multispectral Imagery Firmansyah, Angga; Solahudin, Mohamad; Supriyanto, Supriyanto
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 2 (2025): April 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i2.623-637

Abstract

Shallot plant diseases can reduce yields by up to 50% of total land area. Currently, shallot plant disease identification relies on direct observation, which is less effective and efficient due to varying intensities of disease and large cultivation areas. This study aims to develop a predictive model for shallot disease severity using multispectral drone imagery, apply Artificial Neural Network (ANN) algorithm to analyze multispectral band data, and evaluate the model's performance. The study used ANN algorithm with multi-layer perceptron regressor, involving following stages such as dataset acquisition, dataset stitching, dataset filtering and feature extraction, model development, and model evaluation. Multispectral data were taken using DJI Mavic 3 Multispectral drone, resulting 696 images per bands that were stitched into orthophoto map. The filtering process of plant objects yielded better model training results compared to unfiltered data. The optimal ANN model structure was identified as 4-6-2-1, with R² value of 0.9194 and MAE value of 0.0618. Model testing results demonstrated that using four input bands (G, R, RE, NIR) provided the best performance with R² value of 0.9194, followed by combination of two bands (R, RE) with R² value of 0.8883. This indicated that the R and RE bands were most strongly correlated with shallot disease severity. Keywords: Drone, Multi-layer perceptron, Multispectral imagery, Plant disease, Shallot.
The Impact of Yellow Leaf Curl Disease Stage During Vegetative and Generative Phases on The Growth and Yield of Curly Red Chili Pepper OR Twist 42 Suprayogi, Syahtian; Widyawati, Nugraheni; Herawati, Maria Marina
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 2 (2025): April 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i2.483-493

Abstract

Curly chili (Capsicum annum L.) is one of the vegetable commodities widely cultivated in Indonesia which has a high selling value. Although it has a high selling value, chili cultivation has many obstacles, one of which is the attack of pathogens that reduce the yield of curly chili, especially yellow curly leaf disease on agricultural land. Yellow curly leaf disease is always found in chili cultivation and is the main production obstacle in Indonesia that reduces the harvest. This study aims to see the impact of yellow curly disease attacks in the vegetative and generative phases on the growth and yield of curly red chili cultivation. The study was conducted from August 2023 to March 2024 using the field observation method from the beginning of growth to harvest. Observations were made by measuring the parameters of plant height, stem diameter, number of branches, number of productive branches, fallen flowers, fruit weight, fruit length and observation of yellow curly disease pathogens. The results of the study showed that attacks of yellow curly disease in the vegetative and generative phases had a significant effect on the growth parameters and yield of curly red chili plants. From the results of the analysis of yellow curly disease attacks in the vegetative phase, the number of fruits and fruit weight were lower, namely 10.90 and 32.04 grams/tree, compared to attacks in the generative phase which produced 24.27 and 77.67 grams/tree. Keywords: Begomovirus, Generative, Vegetative, Whitefly, Yellow curl.
Performance of a Moringa Leaf Dehumidification Drying System Using Peltier Effect Thermoelectric Cooling Nusa, Mhd Iqbal; Suarti, Budi; Siregar, Muhammad Said
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 3 (2025): June 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i3.1061-1072

Abstract

The study focuses on a drying system that integrates a rack-type convective dryer with a Peltier effect thermoelectric cooler to optimize the drying process of moringa leaves. This system is designed to achieve lower drying temperatures, which is essential for preserving the quality of the leaves. To evaluate the performance of this dryer, researchers use temperature and relative humidity data to construct a programmed psychrometric diagram. This diagram helps in calculating crucial parameters such as the absolute humidity and the specific volume of the drying air. These calculations are essential in determining the drying rate of moringa leaves. The results indicated that moringa leaves dried on drying rack-1 exhibited a higher drying rate compared to those on drying rack-2. Additionally, a drying air speed of 2.1 m/sec yielded a superior drying rate compared to a lower air speed of 1.5 m/sec. After 5.0 hours of drying, the Moringa leaves achieved a moisture content of 8.6% (wb) with a drying air speed of 2.1 m/sec, 9.3% (wb) with a speed of 2.6 m/sec, and 13.9% (wb) with a drying air speed of 1.5 m/sec. The drying process maintains a maximum temperature 59.3°C, placing it within the low-temperature drying category, which helps preserve the physicochemical quality of the dried Moringa leaves. Keywords: Dehumidification drying, Peltier effect thermoelectric cooling, Moringa leaves, Programmed Psychrometric Calculations.
Enhancing Sustainability in Packaging: Response Surface Optimized Sago Pith Waste Biocomposites with PBAT and MDI Irmayanti, Maya; Nurjanah, Sarifah; Abdullah, Akbar Hanif Dawam; Nissa, Rossy Choerun; Nurhamiyah, Yeyen
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 3 (2025): June 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i3.979-990

Abstract

This study aims to optimize the biocomposites of sago pith waste (SPW) for sustainable packaging applications. The biocomposite was prepared using the biodegradable polymer polybutylene adipate-co-terephthalate (PBAT) as a matrix and methylendifenyl diisocyanate (MDI) as a chain extender. RSM-CCD was used to assess the impact of the incorporation of SPW (5-20% p/p) and MDI (1–5%) into the PBAT matrix on the tensile strength and elongation of biocomposites by melt mixing. The optimal formula shown by RSM was 5% SPW and 5% MDI, which resulted in a 5.14 MPa tensile strength and 8.14% elongation. The barrier properties of all treatments, including moisture content, contact angle, and water absorption, were checked. The optimal formula showed good barrier properties compared to other treatments: water content of 3.12%, contact angle of 42.84°, and water absorption of 0.82%. Other characterizations of SEM, FTIR, DSC, TGA, and biodegradability tests showed an increase in SPW-PBAT compatibility due to the use of MDI. MDI as a chain extender had a positive impact on the material's strength, and the addition of SPW accelerated the degradation process, thus improving biodegradability. Keywords: Biocomposite, Chain extender, Melt-mixing, Response Surface Methodology, Sago pith waste.
Study on Soil Macrofauna Diversity and Its Role in Litter Decomposition in Coffee-Based Agroforestry Marthalina, Melda Lely; Maroeto, Maroeto; Priyadarshini, Rossyda
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1962-1975

Abstract

The biodiversity or diversity of macrofauna depends on abiotic environmental factors and biotic environmental factors. Macrofauna plays a role in decomposing organic matter so that it can restore and maintain soil productivity. The study aims to determine the diversity of soil macrofauna in the Complex Agroforestry system and its effect on the decomposition of coffee litter. The research was carried out by observation of soil macrofauna and observation of litter decomposition rate using RAK which was composed of 2 factors, namely the type of agroforestry and the difference in the age of coffee plants. The results showed that the macrofauna diversity of soil in Complex Agroforestry and Simple Agroforestry was not different because the amount of shade and diversity were almost the same. The Soil Macrofauna Diversity Index showed a low category (H' < 2) with an average INP value of 40 – 48%. Biotic factors (litter production) and abiotic factors (temperature and humidity) affect the diversity of good macrofauna. A high macrofaunaa population will affect the rate of decomposition of debris where macrofauna plays a role in remodeling organic matter.
Effects of Leaf Pruning and Nitrogen Fertilizer Application on the Growth and Yield of Sweet Corn (Zea mays saccharata Sturt) Puteri, Riska Widiya; Pribadi, Didik Utomo; Sulistyono, Agus
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 3 (2025): June 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i3.781-788

Abstract

Sweet corn production in Indonesia is relatively low due to instability and many factors, including infestation of pests and diseases, inappropriate and inefficient cultivation techniques, and the varieties. Pruning the leaves below the cob and applying nitrogen fertilizer may improve yield. The aim of this research was to investigate the combined effect of leaf pruning and types of nitrogen fertilizer on the growth and yield of sweet corn plants. A plot experiment was performed in a Randomized Block Design with 2 factors, namely leaf pruning (no pruning, 1 leaf remaining, 2 leaves remaining, and 3 leaves remaining below the cob), and types of N fertilizer (Urea 4.5 g/plant, ZA fertilizer 9.6 g/plant, and KNO3 fertilizer 15.5 g/plant). Results showed that the best type of N source was KNO3 fertilizer with fresh weight of dehusked cobs (217.68 g), cob diameter (44.84mm), and sugar content (16.26%). Combination treatment of KNO3 fertilizer and the 3 leaves remaining provided the best results on the parameters of fresh weight of husked cobs (308.50 g), cob length (18.83 cm), weight of husked cobs (10.12 kg/plot), and yield of husked cobs (28.11 ton/ha). Keywords: Cultivation, Fertilizer, Nitrogen, Productivity, Sweet corn.
Design of a Circular Economy Model for Corn by-Products Mulyanto, Galuh Eska; Utomo, Tanto P; Suroso, Erdi; Hidayati, Sri; Rizal, Samsul
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 4 (2025): August 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i4.1506-1516

Abstract

The waste generated from corn cultivation remains underutilized, necessitating studies on its potential for economic value. The objective of this research was to study the cicular economi model to maximally utilize corn wastes. Corn plant samples were collected from 20 different locations. The corn plants were separated into husks, cobs, grains, leaves, and stems, then weighed to obtain physical data in the form of the percentage weight of each part. The parts of the corn plants were chemically analyzed to determine their cellulose, hemicellulose, lignin, extractable substances, ash content, and C/N ratio. In addition, interviews were conducted to assess the potential for developing derivative products and market prospects. Exponential Comparison Method (ECM) was used to determine which derivative products to be developed within the circular economy model design. The study revealed the dry weight composition of corn plant as follows: husks 6.34%, cobs 7.19%, grains 31.65%, leaves 17.24%, and stems 37.58%. The chemical composition of corn plant was hemicellulose 27.55%, cellulose 29.26%, lignin 11.51%, extractive substances 30.19%, and ash content 1.49%. The C/N ratio values of the corn plant by-products were: husks 49.79, cobs 95.11, leaves 30.99, and stems 56.21. Based on the ECM calculations, silage was selected as the top priority to be developed, with a score of 121,972,607.
Optimization of Suction Channel System on Vacuum-Type Soybean Seed Metering System Powered by Hand Tractor Setiabudi, Adhiasta Faris; Hermawan, Wawan; Setiawan, Radite Praeko Agus
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 2 (2025): April 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i2.391-403

Abstract

A vacuum-type soybean seeder powered by hand tractor for Indonesia’s local soybean has been developed to overcome soybean low productivity. The developed machine still has a weakness in the context of the suction channel system. This research was conducted to optimize the suction channel system efficiency, suction performance for bigger type of seed variety, and suction effect uniformity on all metering device. The research step consisted of seed characteristic measurement for two Indonesia’s common local soybean seed variety (Anjasmoro and Grobogan), suction channel system modification and analysis, and validation based on computational fluid dynamic (CFD). The result in this research are proposed 3-types of optimized model with final selection of 1-type of model, namely Branch model. The values produced by the optimized model compared to existing model respectively 3.393 kPa (CV 0.10%) and 3.112 kPa (CV 1.54%) for negative pressure, 14.39 m/s (CV 4.11%) and 9.08 m/s (3.44%) for suction velocity, as well as 117.342 Pa and 118.147 Pa for total pressure-loss. The required value for Anjasmoro and Grobogan seed variety respectively 3.094 kPa and 3.358 kPa for negative pressure pressure, as well as 10.22 m/s and 10.03 m/s for suction velocity. Hence, the selected optimized model is more efficient, uniform, and can accommodate required negative pressure pressure and suction velocity for both Anjasmoro and Grobogan, while the existing model can only accommodate Anjasmoro. Keywords: CFD, Metering device, Optimization, Pneumatic, Soybean.
Engineering Properties of Durian Seed Strach (Durio zibethinus Murr.) Resulted from Convection Oven Drying Purbasari, Dian; Iskandar, Dini Suharyati
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 3 (2025): June 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i3.991-998

Abstract

Durian seed is part of the durian fruit that has many benefits but are often considered useless. Durian seeds have the potential to be developed for its use because it contains high starch. This study analyzes the physical characteristics of durian seed starch from convection oven drying. This study used a completely randomized design with two factorials: deposition time (24 and 48 h) and drying temperature (60, 70, and 80℃). Durian seed starch was processed by drying and crushing, then sieved with 100 mesh size. The data analysis used was a two-way ANOVA test followed by Duncan's. The results of ANOVA analysis of different drying temperatures affect the value of water content, yellowness (b), grain average (D), water absorption (DSA), and yield. At the same time, the length of deposition in the process of making starch affects the value of yield variables. The results of durian seed starch characterization resulted in the highest moisture content value of 6.26%; brightness value of 92.92; reddish value of 2.06; yellowish value of 2.24; water absorption value of 1.28 ml/g; and yield value of b16.03%. Keywords: Convection oven, Drying, Durian seed, Starch.

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