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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 1,077 Documents
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Application of Stereo Vision to Control the Movement of the Robot Arm Towards the Position of Red Chilies I Dewa Made Subrata; Ahmad Dzaky Baiquni
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.615-627

Abstract

The trend of decreasing young workers in the agricultural sector needs to be anticipated by developing intelligent machines known as agricultural robots. This research aims to apply a stereo vision system to control the movement of the robot's grip towards the 3D position of the red chili fruit. The stereo vision system installed on the robot waist (joint-2) is used to capture plant images and process them using HSV masking filters and triangulation principal to obtain the 3D center point position of the fruit. The robot joint movement is calculated using geometric based inverse kinematics. The research results show that the average accuracy of the stereo vision system is 93.9 %. The average grip positioning accuracy is 95.6 % to the actual chili fruit position and 98.5 % to the stereo vision calculation value. The average stability of the stereo vision values is 99.5 %, while the average positioning stability of the robot's grip is 99.6 %. Time consumption for image processing is 0.053 s while time consumption for robot grip movement is 9 s. Therefore, the stereo vision system can be used to control robot's grip movement with a good accuracy. Keywords: Red chili fruit, Robot arm, Stereo vision, Three-dimensional position.
Non-Destructive Evaluation of Oil and Free Fatty Acid Content of Oil Palm Fresh Fruit Bunch Based on Thermal Properties Using Partial Least Square (PLS) Monica Guspa; Muhammad Makky; Santosa Santosa; Dinah Cherie
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.772-781

Abstract

Indonesia is the largest producer of palm oil in the world, contributing 59 % of global production in 2022. The palm oil industry is a pillar of the economy and a source of foreign exchange through agricultural exports. To increase productivity and global competitiveness, strategies are needed, including improving cultivation technology and determining optimum harvest times through the application of appropriate cultivation technology. This research aims to increase oil palm productivity by focusing on the harvest time of Fresh Fruit Bunches (FFB). The sample used was Tenera variety palm FFB with two levels of ripeness, namely 140-160 DAP and 200-220 HSP. Non-destructive technology can accurately measure the optimum ripeness level of FFB. This approach uses thermal camera technology for nondestructive evaluation, recording the intensity of infrared radiation from TBS. All measurement parameters resulting from thermal image processing (RGB, L*a*b and temperature) will be used as input variable data to be modeled with oil content free fatty acid data in the laboratory. The model design will be built using the Principal Component Analysis (PCA) and Partial Least Square (PLS) methods. The results showed that the coefficient of determination (R2) for oil content was 0.8681 and free fatty acid content was 0.786. Keywords: FFB, Nondestructive, Oil content, PLS, Thermal properties
High Quality Product, Good Services, and Competitive Pricing of Local Coffee Shop to Increase Consumer Satisfaction and Loyalty Aidin Wahyu Gunawan; Abdul Wahid Muhaimin; Riyanti Isaskar Sitawati
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 2 (2024): June 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i2.592-605

Abstract

The objective of this work is to analyze the effect of service quality, product quality and price on the consumer satisfaction and loyalty of “Beli Kopi” at Baureno Village. This research used Structural Equation Modeling (SEM) analysis with a sample of 50 respondents. The results show that most customers were highly educated with high income and women as the main consumers. Service quality, product quality and price have a significant contribution to consumer satisfaction and loyalty. The research model is valid with outer loading > 0.706 and reliable with AVE > 0.874 and improving service quality, product quality and prices in line with consumer values will increase consumer satisfaction and loyalty. It is hoped that this research can provide theoretical and practical contributions in increasing consumer satisfaction and loyalty at “Beli Kopi” Baureno Village. The research also showed that service quality, product and price influence consumer satisfaction. Product quality is the strongest factor. Consumer satisfaction also has a strong influence on loyalty. To increase sales, research suggests that “Beli Kopi” improve service, maintain product quality at appropriate prices, and create attractive promotions. Keywords:  Coffee, Price, Product quality, Service quality, SEM (Structural Equation Modeling).
Artificial Neural Network Model to Predict °brix and pH of Banana Based on Color Parameters Ferlando Jubelito Simanungkalit; Hotman Manurung
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.739-749

Abstract

Artificial neural network (ANN) was used to predict internal quality parameters (oBrix and pH) of lady finger banana. This research consisted of three stages, namely: (1) capturing images of lady finger banana using a computer vision system; (2) measurement of oBrix and pH of the banana; (3) ANN architecture analysis using the Matlab R2019a application. The ANN architectural model consisted of 3 output models, namely: (1) oBrix values; (2) pH value; (3) oBrix and pH values. The ANN architecture analysis was carried out through two phases. Phase I consisted of 45 experimental units and phase II with 35 experimental units. The best ANN architecture to be used as a prediction model for oBrix and pH of golden banana fruit is ANN architecture model 3 with the number of neurons inside the hidden layer = 3; activation function in hidden layer = logsig; activation function inside the output layer = logsig; data transformation range 0 – 1; learning rate value = 0.01; learning algorithm = tradingda; with MSE (mean square error), MAE (mean absolute error) performance and R correlation coefficient from training results of 0.0954; 0.2619 and 0.6538; test results 0.0392; 0.1606 and 0.7000 and validation results 0.0289; 0.1474 and 0.7889. Keywords: Artificial neural networks, Color, Computer vision system, CVS, RGB.
Selection and Morphological Characterization of Crossed Anthurium (Anthurium andreanum) cv. Midori × Angel Ridho Kurniati; Suryawati Suryawati; Supenti Supenti; Riska Syafrina
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.691-701

Abstract

The floriculture industries depend on market and consumer preferences which dynamically change. Innovation to create new varieties is one of the solutions. The breeding program enhances genetic variation and new varieties. One of the methods was conventional cross breeding. The research objective was to characterize and select the potential clones in the F1 population of crossing anthurium cv. Midori × Angel. Anthurium Midori as female parent and Anthurium cv. Angel as male parent. The individual selection method was used to select the F1 population of Anthurium cv. Midori × Angel. The observation parameters were spathe length (cm), spadix length and width (cm), total number of leaves, total number of shoots, total number of flowers, inflorescent length (cm), and plant height (cm). There were 26 individual offspring from the crossing Anthurium cv. Midori × Angel. Most of the offspring inherited from both the combination of Midori and Angel. They were greenish white. Green was from Midori and white was from Angel. MA-16 and MA-27 were selected as potential clones to be registered as new varieties. The character of these clones was green spathe inherited from Midori as female parent. Keywords: Clone, Leaf color, Leaf shape, Offspring, Varieties.
Growth and Yield of Celery (Apium Graveolens L.) in Organic Cultivation on Alluvial Soil Agnes Tutik Purwani Irianti; Sri Rahayu; Agus Suyanto; Rosalina Yuliana Ayen; Sherly Oktarianti
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.702-710

Abstract

Celery (Apium graveolens L.) is a horticultural crop that is consumable and offers numerous health benefits. The purpose of this study was to ascertain how celery growth and yield cultivated on alluvial soil were affected by the interaction between liquid organic NPK fertilizer and chicken manure. The study utilized a field experiment that was designed completely randomized comprising two factors. The first factor was the dosage of chicken manure with three levels: C1: 50 g/pot, C2: 100 g/pot, and C3: 150 g/pot. The second factor was liquid organic NPK fertilizer with three levels: L1: 1%, L2: 2%, and L3: 3%. All treatment combinations were performed in triplicates. The results indicated that the interaction between chicken manure and liquid organic NPK fertilizer significantly affected the number of tillers and dry weight of celery yield. Chicken manure as a single factor significantly influenced the number of stems and tillers. Liquid organic NPK fertilizer as a single factor significantly influenced the number of tillers, fresh weight, dry weight, and plant height. The combination of chicken manure and liquid organic NPK fertilizer (C1L3) produced the highest number of stems per clump (79.44 stems) and the highest number of tillers per clump (9.78 tillers). The combination of C2L3 yielded the highest fresh weight (184 g) and dry weight (17.33 g). Keywords: Alluvial soil, Celery, Chicken manure, Liquid organic NPK fertilizer
Comparison Accuracy of CHIRPS, GSMaP V7, and GSMaP V8 Satellite Rainfall Estimation in Kalimantan Joko Suryanto; Joko Krisbiyantoro
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 2 (2024): June 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i2.470-484

Abstract

The application of satellite product rainfall estimates (SPREs) is growing in hydrometeorology due to limited rainfall measurement. This study aims to compare the accuracy of three SPRE, namely Climate Hazards Group InfraRed Precipitation with Station (CHIRPS), Global Satellite Mapping of Precipitation (GSMaP) Moving Vector with Kalman Filtering (GSMaP-MVK), and near-real-time (GSMaP-NRT) versions 7 and 8, against daily and monthly rainfall measurements from eighteen gauges in Kalimantan from December 2021 to May 2023. Continuous validation includes root mean square error (RMSE), relative bias (RB), and correlation coefficient (CC), and categorical validation consists of a probability of detection (POD), false alarm ratio (FAR), and critical success index (CSI) were used to assess the accuracy of SPREs. The results showed that GSMaP-MVK version 8 has the highest accuracy on a daily scale with an RMSE value of 14.31 mm/day, while the CHIRPS has the highest accuracy on a monthly scale with an RMSE of 81 mm/month. GSMaP version 8 is better than GSMaP version 7, with a difference in RMSE, CC, and RB at 14.2%, 9.7%, and 84%. Categorical validation showed that GSMaP version 8 was 2.13%, higher in POD, 3.95% in CSI, and 10.2% in FAR compared to GSMaP version 7. Keywords:  Accuracy, CHIRPS, GSMaP, Kalimantan, Rain-gauge.
Cover Vol 13 No 3, September 2024 Agus Haryanto
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.%p

Abstract

Optimizing Vane Number for Enhanced Performance of Mist Blower Nozzle in Agricultural Spraying Gatot Pramuhadi; Chitra Gusti Indah Walpuri; Ahmad Jaelani Sidik; Waqif Agusta
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.794-804

Abstract

The objective of this study is to optimize the number of vanes equipped in the propeller of a mist blower's nozzle. Performance tests were conducted on the approved sprayer test bed, also known as a patternator, to measure several parameters, including effective spraying discharge, effective spraying width, spraying angle, effective spraying height, effective spraying range, droplet diameter, and droplet density. The vane number was optimized using the weighting method. The results indicate that increasing the number of vanes used is directly correlated with higher values of effective spraying width (ESW), spraying angle, effective spraying range (ESR), and droplet density. Conversely, it is inversely correlated with the value of effective spraying discharge (ESD), effective spraying height (ESH), and droplet diameter. The vane number was optimized using the weighting method. The most effective results in the mist blower performance test are achieved by using 12 vanes. This configuration produces droplets with a diameter of 195.44 ±9.68 μm and a density of 320 ± 17.44 droplets/cm2. The mist blower also has ESW of 136 ± 1.73 cm, ESH of 68.14 ± 4.19 cm, ESD of 4.41 ± 0.14 L/min, and ESR of 5.76 ± 0.04 m. Keywords: Agricultural spraying, Mist blower, Nozzle optimization, Performance evaluation, Vane number.
The Shelf-life, Microbiology Quality, and Characteristic Changes of Probiotic Lactobacillus plantarum Dad-13 Milk Jelly Candy during Storage Rafli Zulfa Kamil; Fida Hasna Fadhila; Angela Dea; Endang Sutriswati Rahayu; Subekti Hartiningsih
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 12, No 4 (2023): December 2023
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v12i4.899-908

Abstract

Probiotics are live microorganisms that, when consumed in sufficient amounts, can provide health benefits to their host. L. plantarum Dad-13 milk jelly candies are non-fermented probiotic products. This study aims to evaluate the changes in the characteristics of probiotic milk jelly candies during storage and their microbiological quality. Characteristics such as pH, water activity (aw), hardness, chewiness, gumminess, brightness, and viability of lactic acid bacteria were analyzed over a period of 4 weeks at two temperatures, namely 4 and 30°C. Sub-lethal injury analysis was conducted to estimate the survival of probiotic cells during the jelly candy manufacturing process. Microbiological quality was assessed through Total Plate Count (TPC), Coliform, Escherichia coli, Salmonella, Mold, and Yeast analyses. The research results showed that the number of probiotic cells experiencing injury was less than 5%. Furthermore, changes in physical characteristics were observed during the 4-week storage period, but the temperature difference only affected pH and aw. The viability of lactic acid bacteria was more stable at a storage temperature of 4°C, and the microbiological quality met the jelly candy standards, except for TPC. Based on the research findings, milk jelly candies can be used as a carrier for probiotic cells as a non-fermented probiotic product innovation, with a recommended storage temperature of 4°C and best consumed within 47 days. Additionally, probiotic milk jelly candies are free from other microbial contamination. Keywords:   Jelly candy, L. plantarum Dad-13, Microbiological quality, Probiotic, Storage

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