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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 37 Documents
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Search results for , issue "Vol. 13 No. 3 (2024): September 2024" : 37 Documents clear
Effect of Paclobutrazol Concentration and Urea Fertilizer Dosage on Plant Growth and Yield Long Beans (Vigna sinensis L.) Djarwatiningsih, Djarwatiningsih; Sulistyono, Agus; Safitri, Novita Dyah
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.v13i3.650-661

Abstract

Long bean is a well-known horticultural commodity in people's lives with quite high nutritional value. This study aims to determine the effect of paclobutrazol concentrations and doses of Urea fertilizer on the growth and yield of long bean plants. Long bean plants were planted on private cultivation land in Werungotok Village, Nganjuk District, Nganjuk Regency, East Java in January 2023 – April 2023. The study was structured using a Split Plot Design with 2 factors, including concentration of paclobutrazol and the dose of Urea fertilizer. Each factor consisted of 4 levels and was repeated 3 times. The results revealed that the concentration of paclobutrazol and the dose of urea fertilizer had an effect on plant length, number of leaves, age of flower emergence, number of flowers, number of fruits, fruit weight per plant, fruit weight per plot, fruit weight per hectare, fruit length and fruit set. The best results were obtained from the treatment with a concentration of 150 ppm paclobutrazol and a dose of 100 kg/ha of urea. Keywords:  Growth,  Paclobutrazol concentration,  Urea dose, Yield.   
Influence of Soaking Temperature and Concentration of Sugar Solution in the Process of Osmotic Dehydration of Curcuma (Curcuma xanthorrhiza Roxb.) Sutarsi, Sutarsi; Syahda Vi, Gadis Dien; Lestari, Ning Puji; Taruna, Iwan; Purbasari, Dian
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.v13i3.711-719

Abstract

Curcuma (Curcuma xanthorrhiza Roxb.) is a type of medicinal plant native to Indonesia that has a moisture content of around 80-90% when harvested. Osmotic dehydration is a technique for reducing water content that can be used to overcome this problem by immersing the material in a high concentration solution. The purpose of this study was to analyze the effect of temperature and concentration of sugar solution on final water content, weight reduction, solid gain, water loss, and analyze the temperature and concentration optimal for the observed variables in curcuma dehydration process. The method used in this study was to use a completely randomized design (CRD) which was arranged in a factorial manner with 2 factors namely sugar content 50°Brix, 60°Brix, 70°Brix and immersion temperature 30°C, 40°C, 50°C with 3 repetitions. The results of the curcuma osmotic dehydration process which produces the most optimal treatment combination is at an immersion temperature of 50°C and a solution concentration of 70°Brix. This treatment combination resulted in a water content of 63.44% wb, a weight reduction of 34.73%, a solid gain of 11.81%, a water loss of 46.54%, and a total color difference of 69.64. Keywords: Curcuma, Osmotic dehydration, Sugar concentration, Temperature.
Analysis of Demudification Drying of Peanut Seeds (Arachis hypogaea L.) and Identification of Seed Quality Sholikah, Pipit Elok Nikmatus; Susilo, Bambang; Sutan, Sandra Malin; Damayanti, Retno; Hermanto, Mochamad Bagus
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.v13i3.662-670

Abstract

One strategy to increase peanut production is to use good-quality seeds. The content of the seed determines the quality of the seed. Drying with low relative humidity can lower the drying temperature so that drying is done quickly and seed quality is maintained. This research was conducted to analyze the process and differences in peanut seed drying using dehumidifier drying and oven drying methods. Drying was carried out using a dehumidifier and oven drying machine at 30 °C, 40 °C, and 50 °C until the moisture content reached 9%, with observations every 30 minutes. Then the dried seeds were analyzed for their physical and physiological qualities. The results showed that the time needed for dehumidifier drying was faster than oven drying, with the details of dehumidifier machine drying at 30 °C, 40 °C, and 50 °C being 18.5 hours, 15 hours, and 10.5 hours. While drying in the oven at the same temperature, it takes 21 h, 17 h, and 12 h. From the results of the analysis of the physical quality of the seeds, the germination test, and the vigor test, it can be seen that dehumidifier drying gave the highest seed percentage results of 98%, 98%, and 88%. Keywords: Dehumidifier, Drying, Peanuts, Seed Quality, Water content.
Strategy to Develop Okra (Abelmoschus esculentus L.) Plantation Based on Land Suitability Class and SWOT analysis Andriyani, Idah; Wahyuningsih, Sri; Harsono, Soni Sisbudi; Agustina, Dwi
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.v13i3.782-793

Abstract

Okra is famous as super food sources that prevent diabetes and reduce cholesterol. To meet the increasing demand for okra, it is necessary to develop plantation for okra cultivation. In this sense, land suitability analysis for okra plantation is needed as base information to develop the plantation development strategies. This study aimed to identify the okra plantation development strategies in Jember Regency. The strategies involved the technology recommendations needed to improve land conditions. Land suitability evaluation parameters were analyzed using ArcGIS software. The results of the analysis were used to determine internal and external factors in the SWOT (strengths, weaknesses, opportunities, and threats) analysis to determine the technology needed. Results showed that suitable area for okra plantation was divided into class S1 (highly suitable) of 56.85%, and class S2 (moderately suitable) 43.15% of the area. Moreover, based on SWOT analysis the proposed technology strategies for 7 sub districts were in the quadrant II, meaning had weaknesses. Increasing compost as fertilizer was recommended to increase N, K, and P in the soil as well as to increase soil solum. In addition, irrigation and drainage system was proposed to solve problems regarding rainfall. Recommendation to reduce sloping area included terracing development. Keywords: GIS, Land suitability analysis, Okra (Abelmoschus esculentus L.), Plantations development strategies, SWOT.
Effect of Dosage and Frequency of Fertilization Application Potassium in Lowland Melon (Cucumis melo L.) Cultivation in Polybags Rahmadhanti, Viona; Nurlianti, Nurlianti; Sunarti, Sunarti; Rustianti, Sri; Asfaruddin, Asfaruddin
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.v13i3.914-923

Abstract

Melon cultivation is usually cultivated in the highlands, but the development of melon cultivation in the lowlands has the potential to be developed. The problem is that ultisol with low fertility dominates the soil in the lowlands. Cultivating melons in polybags makes it possible to provide ideal nutrients for plant needs. The right frequency of fertilization can provide appropriate nutrients for each phase of plant growth. The study aimed to determine the best dose and frequency of potassium fertilizer application and the interaction between the two on the growth and yield of melon plants and the sweet taste of melons. The study used a randomized block design (RBD). Factor I: Potassium dose (D) 4 levels: control: 0 g per plant, D1: 30, D2: 40, D3: 50. The second factor is the frequency of application of Potassium (F) consisting of 3 levels, namely: F1: 4 times, F2: 6, and F3: 8. The results of the study showed that the frequency of application of potassium fertilizer had a significant effect on the flowering age of melon plants. A potassium fertilizer dose of 50 g per plant (D3) gave the best fruit weight and diameter and a higher sweetness than other treatments. Keywords: Lowland, Fertilization frequency, Polybag cultivation, Potassium dosage.
Classification of Roasting Level of Coffee Beans Using Convolutional Neural Network with MobileNet Architecture for Android Implementation Pakaya, Isran Mohamad; Radi, Radi; Purwantana, Bambang
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.v13i3.924-932

Abstract

The roasting process has a significant impact on the aroma profile and taste of coffee making it an essential stage in the coffee processing. Currently, the classification of coffee bean roasting levels still relies on subjective human visual assessment, which can lead to errors due to fatigue or negligence. To overcome this problem, a classification system was developed using computer vision technology with a deep learning approach. The present study designed a coffee bean roasting level classification system based on image analysis integrated within an Android application. The Convolutional Neural Network (CNN) model with the MobileNet architecture was used to identify and classify coffee beans based on their roasting level. Two CNN models, namely CNN Alpha and CNN Beta were used in this study. The dataset included 1.600 coffee bean images, with 1.200 images used to train the model and 400 images used to test the accuracy. In this experiment, the input image had an optimal size of 70x70 pixels, a learning rate of 0.0001, and 100 epochs for both models. The model training and testing results in the highest accuracy of 98-88% in 6.40-0.0012 minutes.The application test results obtained 93.55% accuracy, 97.06% precision, and 96.67% recall. These results indicate that this model and application function optimally in classifying coffee bean roasting levels accurately. Overall, this study reveals the potential of integrating CNN with the MobileNet architecture into an Android-based application to change the way of roasting level classification, as well as to improve efficiency and accuracy. Keywords: Coffee, Roasting, Convolutional Neural Network, MobileNet, Android.
Stability of Pure Biodiesel (B100), Biodiesel Mixture (B40), and Petroleum Diesel (B0) Due to Storage Mufidah, Zunanik; Tiguna, Amril Hakim; Haryanto, Agus
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.v13i3.900-913

Abstract

Biodiesel is produced from synthetic ester compounds of vegetable and animal oils through a process of refining, bleaching, degumming, transesterification, and esterification. The quality and characteristics of the fuel are greatly influenced by the storage. The purpose of this research is to determine and analyze the effect of storage conditions on the physical and chemical changes of biodiesel (B100), biodiesel blend (B40), and petro diesel (B0). Experiment was conducted by storage fuels using glass bottle for 35 days arranged into four conditions based on cap and wrapping using aluminum foil, namely P1 (with cap, with wrapping), P2 (with cap, no wrapping), P3 (no cap, with wrapping), and P4 (no cap, no wrapping). Results showed that fuel quality decreases due to storage indicated by an increase in water content, density, acid number, and color parameters, as well as a decrease in the specific calorific value of all fuels. The condition of the storage container affected the changes the quality parameters. Based on its impact on fuel quality decline, the order of storage container conditions from the best is P1 (with cap, with wrap) > P2 (with cap, no wrap) > P3 (no cap, with wrap) > P4 (no cap, no wrap). Keywords: Biodiesel, Biodiesel blend (B40), Diesel fuel, Stability, Storage time.
Study on Factors Influencing the Utilization Level of Combine Harvester by Farmers Rangga, Kordiyana K.; Efendi, Irwan; Listiana, Indah; Utami, Tataning
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.v13i3.750-762

Abstract

The aim of this research is to determine the level of use of combine harvesters and the factors that influence it. The research location was chosen deliberately, namely in Negeri Katon District which received assistance from 3 combine harvester units. The respondents in this study were 53 farmers from 3 farmer groups who received combine harvester assistance. The data collected was analyzed using descriptive analysis and the Kendall tau statistical test. The results of the research show that the level of use of combine harvesters on the indicators of plant condition requirements shows a good category, where farmers harvest rice when it reaches the optimum age. The indicator for plant condition requirements shows a fairly good category, where farmers harvest when the land is dry, but farmers never confirm whether the land conditions are dangerous and can damage machinery. The machine application indicator shows the poor category, where the intensity of farmers using combine harvester machines is 3 - 4 times in 5 harvest seasons, and farmers are still less skilled in operating combine harvesters. Factors related to the use of combine harvesters by farmers are land area, relative profit, compatibility, complexity, trialability, observability, and the role of farm extension workers. Keywords: Compatibility, Complexity, extension workers, Observability, Relative profit.
Effectiveness of Various Types of Manure and Inorganic Fertilizers on Populations of N-fixing and P-Solubilizing Bacteria and Nutrient Uptake of Maize in Inceptisol Usman, Alda Inayah A. Hi.; Ustiatik, Reni; Utami, Sri Rahayu; Nuraini, Yulia
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.v13i3.880-889

Abstract

Bacteria are classified as non-symbiotic N-fixing and P-solubilizing play an important role in enhancing soil quality and plant growth. This study aims to analyze various types of manures and inorganic fertilizers on N-fixing and P-solubilizing bacteria population and their relationship with N and P uptake of maize in Inceptisol. The manure used was poultry, goat, and cow manure with doses of 0 t/ha, 10 t/ha, and 20 t/ha, respectively, and inorganic fertilizer NPK Phonska 15-15-15 dose 0 kg/ha; 150 kg/ha (50% of recommendation dose) and 300 kg/ha (100% of recommendation dose). Application of manure (poultry, goat, and cow manure) increased N-fixing and P-solubilizing bacteria population. The application of various types of manure and inorganic fertilizers has a significant impact on N and P uptake. The highest N and P uptake were 29.92 kg/ha and 2.63 kg/ha, respectively. Manure application can reduce inorganic fertilizer dose by up to 50%, increasing plant production efficiency and environmental sustainability. Keywords: Bacteria population, Fertilizer optimization, Inceptisol, Nutrient uptake.
Analysis of Air Distribution in a Double Tube Model Heat Exchanger System using Computational Fluid Dynamic (CFD) Reniana, Reniana; Darma, Darma; Payung, Paulus
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.v13i3.763-771

Abstract

The double-tube model heat exchanger has a construction of three tube cylinders arranged into one. This model of heat exchanger has a fairly simple construction, making it easier to manufacture and speeding up the manufacturing process. Computational Fluid Dynamics (CFD) is software that can be used to optimize the design and performance evaluation process as well as to speed up the process and minimize costs in tool development because it can represent phenomena that occur in a system. This research aims to analyze air distribution in a double tube model heat exchanger system using CFD analysis and to validate the analysis results with experiments. Based on the research results, a double tube model heat exchanger has been created with an average performance of output temperature and air velocity reaching 97.8oC and 10.4 m/s at a coconut shell fuel consumption of 0.24 kg/minute. The results of evaluating experimental data with simulations obtained RMSE values between 59.33 – 71.69, and MAPE values between 26.26 – 32.93. Meanwhile, the results of the Paired Sample T-Test show that there is no real difference between experimental data and simulation data with an R-value of 0.875 – 0.964. CFD analysis in this research can be used as a reference in the optimization process and development of heat exchangers, especially double-tube models. Keywords: CFD, Design, Double-Tube. Heat Exchanger, Simulation,

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