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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.
Arjuna Subject : -
Articles 1,077 Documents
Effect of Growing Media Composition and Potassium Fertilizer Dosage on the Growth and Yield of Tomato (Lycopersicum esculentum L.) Chairunnisa, Adhila Zulfa; Sutini, Sutini; Augustien, Nora
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.v14i4.1291-1299

Abstract

The market demand increase in tomato has not been matched by the tomato production. One of the factors of tomato plant production is less than optimal due to lack of potassium nutrition and improper planting media, causing flower loss. The aim of this current study is to evaluate the effect of planting media composition and the dose of KCl fertilizer on the growth and yield of tomato plants. The research was conducted in Jemur Wonosari, Wonocolo District, Surabaya City, East Java, from November 2023 to February 2024. The experiment was designed according to a Completely Randomized Design with two factors, each consisting of 4 levels, and was executed in triplicates. The composition of planting media was the first factor at different ratio of S:GM:RHC with S =soil, RHC = rice husk charcoal, and GM = goat manure. There were 4 media compositions, namely M0 (1:0:0), M1 (1:1:1), M2 (1:1:2), and M3 (1:2:1). The dosage of KCl fertilizer (K) was the second factor, included K0 = 150 kg/ha, K1 = 150 kg/ha, K2 = 200 kg/ha, and K3 = 250 kg/ha. The results showed that the treatment combination of planting media composition M1 (1:1:1) + KCl dose 150 kg/ha was able to accelerate the flowering time of tomato plants.
Application of Moringa Leaf Extract (Moringa oleifera) During Post-Ripening Period on the Physiological Quality of Ciherang Rice Seeds (Oryza sativa L.) Elinda, Neetha; Moeljani, Ida Retno; Makhziah, Makhziah
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.v14i4.1233-1242

Abstract

This research investigates the effects of Moringa leaf extract and post-ripening periods on the physiological quality of Ciherang rice seeds, which often exhibit dormancy after harvest. Effective methods are needed to break this dormancy to achieve optimal planting results. Moringa leaf extract, recognized as a sustainable and eco-friendly biostimulant, was tested for its potential to enhance seed quality. The study utilized a robust experimental design, testing four concentrations of Moringa leaf extract (0%, 20%, 60%, and 100%) across four post-ripening periods (0, 2, 4, and 6 weeks), with three repetitions for each treatment. A multiple observation data analysis was conducted, combining individual measurements with time-grouped assessments. Results revealed that both the concentration of Moringa leaf extract and the length of the post-ripening period significantly influenced the physiological quality of the seeds. The most effective treatments were identified as 60% Moringa leaf extract with a 4-week post-ripening period and 20% extract with a 6-week period. This research underscores the potential of Moringa leaf extract as an accessible and environmentally friendly method for breaking seed dormancy, offering valuable insights for farmers aiming to improve seed germination and enhance crop productivity in regions where Moringa is abundant.   Keywords: Ciherang, Moringa Leaf Extract Concentration, Physiological Quality, Post-ripening, Rice Seeds.
Optimization of Bioencapsulation of Bacillus sp. to Increase Resistance to Bacterial Wilt and Growth of Cayenne Pepper Anjani, Ajeng Distya; Wuryandari, Yenny; Lestari, Safira Rizka
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.v14i4.1325-1334

Abstract

Cayenne pepper has a high production demand. The high demand does not match the amount of production produced. One of the factors for decreased production is the presence of bacterial wilt disease caused by Ralstonia solanacearum. Bacterial wilt control can be done with the application of antagonistic bacteria, namely Bacillus sp. Bacillus sp. application requires an optimal formulation to maintain bacterial activity in the soil, one of which is Bacillus sp. encapsulation. This study aims to determine the effectiveness of Bacillus sp. encapsulation as a formulation of biological agent bacteria for the control of bacterial wilt disease and cayenne pepper plant growth. This study used the encapsulating material concentration and dosage factors for application to plants. Encapsulation was made using the extrusion method. The results showed that the concentration of 2% sodium alginate and 1.5% gelatin gave a significant difference in disease intensity of 18.89% and in the growth parameters of cayenne pepper plants were able to reach a height of 30.58 cm and a root length of 17.18 cm. The right concentration and high dose provide the ability to suppress intensity and encourage maximum growth
Assessment of Robusta Coffee Quality Using Parameters of Specialty Coffee Association by Analytical Hierarchi Process (AHP) Method Safrizal, Safrizal; Safmila, Yuliani; Jannar, Miftahul; Yusmanizar, Yusmanizar; Idkham, Muhammad
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.v14i4.1282-1290

Abstract

Understanding differences of the interests and tastes of each consumer are the basis for developing Robusta coffee in Aceh. This study aims to obtain consumer preferences on Robusta coffee in term of quality parameters of the Specialty Coffee Association (SCA). Robusta coffee samples were obtained from three places, namely Tangse, Lamno and Bener Meriah. Post-harvest handling of coffee beans included dry and wet processes. Preparation of test samples was carried out by following the SCA protocol, coffee testing was carried out by 3 professional panelists (Q-Grader). Consumer preferences was analyzed using the analytic hierarchical process (AHP) method. The results of the study indicated that the taste of Robusta coffee with a weight value 0.36 is preferred over other parameters. Based on the taste test on respondents, the best coffee based on ranking using the AHP method is Lamno coffee with wet processing which has a preference level of 0.0429. The results is in accordance with the cupping test assessment and the taste assessment which lies in the assessment of the best coffee, namely Lamno coffee with wet processing achieving a total cupping score of 75.25. Using the Analytical Heirarchy Process (AHP) method Lamno Robusta coffee with wet processing is the best based on the quality parameters from the SCA.   Keywords: AHP, Coffee, Lamno, Robusta, Tangse.
Chemical and Sensory Characteristics of Arabica Coffee Due to Variations in Processing Methods and Fermentation Time Mardhatilah, Dina; Faizah, Kuni
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.v14i4.1313-1324

Abstract

The natural, full-wash, and honey processing methods, along with fermentation duration, significantly influence the chemical components and flavour profile of the resulting coffee. Therefore, it is essential to conduct research to determine the chemical and flavour characteristics produced by each processing method to maintain quality and ensure flavour consistency. The research design employed is a complete two-factor block design. The first factor is the variation in processing methods: natural, full-wash, and honey. The second factor is fermentation duration: 18 h, 24 h, and 30 h. The analyses performed include moisture content, ash content, pH, lipid content, protein content, total acid content, caffeine content, and sensory evaluation using the SCAA method. The results of this study indicate that variations in processing methods affect the values of moisture content, protein content, caffeine content, lipid content, and total acid content. Similarly, the fermentation duration of coffee cherries affects the moisture content, protein content, caffeine content, lipid content, and total acid content. The study also shows a relationship between the variations in processing methods and the fermentation duration of coffee cherries. The honey processing method and optimal ripeness levels were most preferred by the panelists. All the coffee produced in this study has met the SNI 01-3542-2004 standard.
Potential of Foliar Fertilizer and Organic Additives for Vanda tricolor Protocorm Regeneration yulaekhah, siti; Herawati, Maria Marina; Pudjihartati, Endang
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.v14i4.1424-1433

Abstract

Vanda tricolor orchid is propagated by in vitro culture using Vacin & Went (VW) media. The price of this media is quite high, so research is needed on alternative media that can replace VW media. The objectives of this study were to (1) determine the effect of foliar fertilizer concentration and addition of organic materials on in vitro protocorm regeneration in to planlets, (2) obtain a combination of foliar fertilizer concentration and organic materials that can be used to subtitude VW as a medium for Vanda tricolor protocorm regeneration. The treatments tested were the concentration of NPK foliar fertilizer (21:21:21), namely:     1 g/L, 1.5 g/L, 2 g/L, and 2.5 g/L and various organic materials, namely: no organic material, banana, potato, banana+potato. VW was use as a control. Data analysis to compare VW control with all treatments used Orthogonal Contrast further test, while to compare between treatment combinations using Analysis of Variance (ANOVA) and DMRT further test at the 5% level. The results showed that leaf fertilizer at a concentration of 2.5 g/L was able to accelerate the formation of shoots and roots without the addition of organic material. In addition, leaf fertilizer media plus potatoes can be used to replace VW as a protocorm regeneration media at affordable cost.
Identification of Guava Fruit Shape (Psidium guajava L.) with Android-Based Digital Image Processing Ifmalinda, Ifmalinda; Fitriyah, Zhefira; Cherie, Dinah
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.v14i4.1300-1312

Abstract

Fruit shape determine the quality of guava which in turn affects greatly consumers’ appeal. Guava fruit is classified into intact and non-intact and is sorted manually using human eye which is less efficient and takes time. Digital image processing can be develop to effectively determine shape index of guava fruits. The objective of this study is to investigate the physical shape of red guava fruit using digital image processing, with a focus on roundness, sphericity, and K-value as shape indices. The calculation of these three parameters is done manually and image analysis. The results showed that manual roundness values ranged from 0.814 to 0.953. Image roundness values range from 0.871 to 0.908. Manual sphericity values range from 0.712 to 0.995. Image sphericity values range from 0.748 to 0.840. Manual K values range from 1.697 to 2.278. The image K value ranges from 1.631 to 3.285. Based on the results of the research, it is concluded that guava fruit can only be distinguished by the sphericity and K value shape index, due to the limited shape of the sample used so that it is not very visible the difference between intact and non-intact fruit with the roundness index.
Deep Learning-Based Detection for Early Germination Stages of Chili Pepper (Capsicum annuum L) Seedling in Greenhouse Tasmara, Jasmine; Supriyanto, Supriyanto; Solahudin, Mohamad
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.v14i4.1128-1139

Abstract

Nursery plays an important role on starting chili cultivation, determining the crop health, fertility from disease, and growth performance. Early-stage germination detection is necessary to minimize nursery failure and improve plant health, but manual detection is challenging for large scale nursery in the greenhouse. The aim of this research was to develop an automatic detection model integrated with a You Only Look Once (YOLO) based deep learning algorithm using RGB camera to monitor the chili germination stages. Method to detect germination was YOLO with several steps, included: (1) early stages chili germination images acquisition, (2) datasets preparations, (3) dataset annotation and labeling, (4) model development using deep learning YOLO algorithms, and (5) model testing and validation. The training of 11,423 images was conducted utilizing the YOLOv5 and YOLOv8 algorithms, which categorized into, three classes (germinated, not germinated, and cotyledon appearance). The model was evaluated using mean Average Precision (mAP), precision, accuracy, and recall with the respective values of 0.697, 73%, 75%, and 73% for YOLOv8, and 0.664, 70%, 73%, and 70% for YOLOv5. Both model achieved high accuracy, but YOLOv8 was better to detect and classify chili seedling growth stages than YOLOv5. This study also demonstrated that model can be implemented in real applications integrated with automatic monitoring system included in the model.   Keywords: Chili seedling, Deep learning, Detection system, Germination.
Modular System Design of Jajar Legowo Rice Transplanter Machine Azadi, Athoillah; Mandang, Tineke; Hermawan, Wawan; Mardison, Mardison
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.v14i4.1176-1188

Abstract

The Jajar Legowo rice transplanter has been proven to significantly improve the efficiency and effectiveness of rice planting, delivering better quality and uniformity. However, mobility on terraced land remains the primary challenge, thereby hindering the adoption of this technology by farmers. This study aimed to redesign the jajar legowo rice transplanter into a modular system to improve adaptability and ease of transport in such terrains. The research consisted of two main stages: module determination which included functional analysis, weight assessment, and component interconnection evaluation, while design analysis employed Finite Element Analysis (FEA) to assess structural strength and reliability through stress simulation. The findings indicated four main modules for the transplanter, namely: main transmission module, wheel module, feeding transmission module, and floating module. The module components have a maximum weight of 62.9 kg, which can be feasibly transported by two operators. The transmission neck interface and wheel transmission sustained operational loads of 700 N and 1000 N, respectively, with corresponding safety factors of 1.7 and 1.9. This study successfully developed a modular design for the jajar legowo rice transplanter machine that can be effectively used on terraced field. The design meets three critical adaptability indicators: (1) module weights remain within the lifting capacity of a maximum of two operators, (2) sufficient structural strength is maintained to endure operational loads, and (3) the assembly and disassembly process is achieved without the need for additional tools, minimizing the risk of component loss in the field.   Keywords: Interface, Jajar legowo, Module, Rice transplanter, Stress analysis.
Design and Implementation of an IoT-Based Irrigation Management System for Alternate Wetting and Drying (AWD) Technique in Rice Cultivation Kusuma, I Nyoman Teguh Yudha; Budisanjaya, I Putu Gede; Sumiyati, Sumiyati; Nugroho, Andri Prima; Sulastri, Ni Nyoman; Tika, I Wayan
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.v14i4.1256-1267

Abstract

Rice irrigation management is facing considerable challenges, particularly in improving water use efficiency. This study aimed to develop an irrigation management system integrating the Alternate Wetting and Drying (AWD) technique with Internet of Things (IoT) technology. The system was constructed using ESP32 microcontroller, TOF10120 distance sensor for water level monitoring, an SD card module for data logging, 20×4 I2C LCD for real-time display, an optocoupler relay module for system control, and DS3231 real-time clock for timekeeping. Remote monitoring and control were enabled via the Blynk platform. System design was conducted using AutoCAD software, circuit simulations were performed using the Wokwi platform, and field testing was implemented in a rice cultivation area in Tabanan, Bali. Water level measurements were obtained using the TOF10120 sensor, and measurement accuracy was evaluated using MAPE (Mean Absolute Percentage Error). The system operated using a 100 WP solar panel and battery, ensuring sustainable and autonomous functionality. Results demonstrated that the IoT-based AWD irrigation management system successfully automated irrigation scheduling according to crop water requirements, achieving a high accuracy with a MAPE of 3.83%. Integration with the Blynk platform provided real-time monitoring and remote control functionalities, offering farmers an effective and user-friendly tool for optimizing irrigation water management.   Keywords: Alternate Wetting and Drying (AWD), Automatic Irrigation System, Blynk platform, IoT, Irrigation management, Sensor.

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