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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
 80   81   82   83   84 
Erosion Prediction and Soil and Water Conservation Scenario Using The SWAT Model Candra Dewi, Ni Luh Trisna; Sulastri, Ni Nyoman; Arya Arthawan, I Gusti Ketut; Ngadisih, Ngadisih
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 1 (2024): March 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i1.260-268

Abstract

Increasing population and development has resulted in inappropriate land use within watersheds that increase soil erosion. One of the hydrologic models that can be used to predict erosion and soil and water conservation in a watershed is SWAT. This research was conducted to predict erosion and the guidance of soil and water conservation in the Yeh Empas Watershed. This research was carried out in several stages, including data collection, data analysis and map validation using the ROC (receiver operating characteristic) and AUC (area under curve) methods. Results revealed that Yeh Empas Watershed had a very light EHL (erosion hazard level) category was found in the downstream area with an annual erosion value of 0 – 14.68 t/ha. In the middle area, the EHL was categorized as light with an erosion value of 15.44 – 57.22 t.ha-1.y-1. The upstream area has moderate EHL with a value of 65.20 – 178.64 t.ha-1.y-1. The validation of the EHL map using the ROC method showed a result of 0.83. This value was classified as very good. It can be concluded that SWAT predictions can be used in estimating erosion and soil and water conservation scenario to reduce 85% erosion. Keywords: Erosion prediction, Soil and water conservation scenario, SWAT models, Yeh Empas Watershed.
Comparison Accuracy of CHIRPS, GSMaP V7, and GSMaP V8 Satellite Rainfall Estimation in Kalimantan Suryanto, Joko; Krisbiyantoro, Joko
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.
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.
Climate Suitability Analysis of Robusta Coffee and Its Projections in South Sumatera Province Whibowo, Gani Hesri; Arifianto, Fendy; Ferdiansyah, Ervan
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.v13i2.512-524

Abstract

Climate suitability will support the growth of a plant such as Robusta coffee. This study aims to analyze the suitability of the Robusta coffee plant climate and its projection in South Sumatra. Climate suitability is assessed based on the weighting of air temperature, rainfall, number of dry months, altitude, soil texture, and slopes. This study used observation data on rainfall and air temperature at 48 rain post points in the Robusta coffee farming area. The projection uses scenarios shared socioeconomic pathways (SSP) 2-4.5 and 5-8.5 of the MIROC6 model with three projection periods of 2021-2030, 2031-2040, and 2041-2050. The results showed that baseline period 35% of the area as a very suitable class and 65% in fairly suitable class. Based on the projected results of scenario SSP2-4.5 period 1 to 3 have the same percentage of area, that is 91% in very suitable class and 9% in fairly suitable class. The projected results of the scenario SSP5-8.5 show an improvement but not better than scenario SSP2-4.5. The percentage of area very suitable class for periods 1 to 3 of 89%, 50%, and 85% respectively. Keywords: Climate suitability, Projection, Robusta coffee, SSP2-4.5, SSP5-8.5.
Growth Rate and Production of Hybrid and Local Maize (Zea Mays L.) in Response to Various Doses of Nitrogen Fertilization Wirastiti, Ni Ketut; Setiawan, Kukuh; Manik, Tumiar Katarina
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.v13i4.1077-1089

Abstract

Corn (Zea mays L.) is a strategic commodity after rice so that the productivity need to be optimize through nitrogen fertilization. The aim of this research is to evaluate the effect of various doses of urea fertilizer on the growth rate and yield of hybrid corn and local corn. This research was conducted from June to October 2022 on the pilot land of the Agricultural Training Center (Bapeltan), Hajimena, Bandar Lampung. The factorial experiment (5x2) was arranged in a randomized complete block design with 3 replications. The first factor is urea fertilizer doses, namely: 200 kg/ha (N1), 250 kg/ha (N2), 300 kg/ha (N3), 350 kg/ha (N4) and 400 kg/ha (N5), while other fertilizers were given to all experimental plots in the same rate (150 SP-36 kg/ha and 100 kg KCl kg/ha). The second factor is the corn variety, included V1 (BISI-18) and V2 (Tongkol Merah) varieties. The results showed that increasing dose of urea from 200 to 400 kg/ha was not able to increase the growth rate of both corn varieties. The productivity of the BISI-18 corn variety is higher than that of the Tongkol Merah as indicated by the wet weight of the cobs (g), the dry weight of grains per plot (g), and the yield of corn dry grains (tons/ha). The yield of dry corn seeds for the BISI-18 corn variety was 11.7 tons/ha, while for the Tongkol Merah variety was 9.44 tons/ha. Keywords: Fertilizer dosage, Hybrid corn, Local corn, Nitrogen use efficiency, Yield. 
Spring Water Catchment Building and Water Distribution System for Domestic Needs Pribawanto, Achmad Yopi Suyitno; Pandjaitan, Nora Herdiana; Sutoyo, Sutoyo
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 1 (2024): March 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i1.1-11

Abstract

The population growth implies that the population's need for clean water tend to increase. Clean water availability is not optimal due to geographical factors and discharge reductions during dry season. This research was conducted to design spring water catchment building and water distribution system at Kalikajar Village, Wonosobo. The population data, water demand, and spring discharge were utilized in this research. The population growth was calculated with arithmetic, geometric, exponential, and logistic method. Then water demand was calculated based on SNI 19-6728.1-2002.  The population growth which predictably reaches 5328 people in 2050 will result in increasing clean water demand by 9.68% with domestic water demand of 4.63 L/s. The spring discharge measured at the research location showed an average of 10.80 L/s. Therefore, the spring discharge is able to meet the population needs in the projected year. The spring catchment building was designed with Type B, while three reservoir were designed with the capacity of 7 m3 each. The water distribution is designed with gravity system because the elevation difference between the spring and the village is more than 10 m. The PVC pipeline used diameter of 100 – 150 mm, with total length of 11843 m. The design meets the calculated requirement and could be implemented. Keywords:  Distribution system, Reservoir, Spring water, Hilly areas, Water consumption
Effectiveness of Bamboo Leaf Silica Applied with Nanosprayer and Growing Media on Yield of Red Beetroot (Beta vurgaris L.) Hamawi, Mahmudah; Etica, Use; Maulana, Ilham Insan
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.v13i2.429-440

Abstract

Silica protects plants from abiotic stress. Planting media provides a place to grow and nutrition for plant growth. The research aims to study the effect of bamboo leaf silica dosage and growing media on the yield of red beets cultivated in the lowlands. The research was designed using a completely randomized factorial design (CRD) with two treatment factors. The first factor is the dose of bamboo leaf silica fertilizer (0 ppm, 0.15 ppm, 0.30 ppm, 0.45 ppm, 0.60 ppm). The second factor is the growing media (soil growing media; soil growing media + goat manure, and soil growing media + goat manure + husk charcoal). Research results: bamboo leaf silica dosage (0.3 ppm, 0.45 ppm and 0.60 ppm) affects the chlorophyll b and total chlorophyll. Growing media soil + goat manure + husk charcoal affects the length of red beet plants, number of leaves, diameter and length of red beetroots, wet weight and dry weight of red beetroots. Combination of growing media treatment (soil + goat manure + husk charcoal) with all doses of bamboo leaf silica increased the chlorophyll a, chlorophyll b and total chlorophyll. The sugar content of red beetroots was not influenced by the dose of bamboo leaf silica or the growing medium. Keywords: Chlorophyll, Husk Charcoal, Manure, Soil.
Increasing Physical Soil Quality by Using Rice Straw Biomass Sumiyati, Sumiyati; Tika, I Wayan; Sulastri, Ni Nyoman; Kinasih, Mentari
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.v13i4.1006-1012

Abstract

Paddy straw as an agricultural waste can be returned to the soil to increase the organic matter content. This study aims to determine the optimum inoculant treatment of rice paddy straw on soil quality. The straw handling was carried out by spreading the straw on paddy fields and sprayed with four inoculant treatments (0, 3, 6, 9, and 12 L/ha). The incubation process was carried out for 21 days and incorporated in the soil through plowing. Each treatment was repeated three times so that the total treatment was 15 units. The variables observed in each treatment were soil quality. The soil quality parameters observed were particle density, bulk density, porosity, field capacity and pH. ANOVA statistical analysis which was continued by the Tukey HSD Post Hoc Test to determine the effect of treatment on soil quality. The results showed that the inoculant treatments showed a significant difference (p-value=0.05) in soil volume, density, and porosity. P4 gave the optimum results which are statistically not significantly different from P3. P4 shows the physical properties of the soil which consist of the soil bulk density of 0.61 g/cm3; particle density 1.74 g/cm3; porosity was 64.91%, and pH 6.68. The utilization of straw biomass as source of organic material contributes to zero waste rice cultivation. Keywords: Effective microorganisms, Rice straw, Soil density, Soil pH, Soil porosity. 
Pathogenicity Efficacy of Entomopathogen Fungus Beauveria bassiana Against In Vitro Rice Stem Borer (Scirpophaga innotata) Hasibuan, Syahbudin; Simbolon, Zulfahmi; Candra, Ifan Aulia
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.v13i2.441-448

Abstract

White rice stem borer (Scirpophaga innotata) is one of the dangerous pests for rice (Oryzae sativa) because it attacks rice stems that can cause 50% loss of total production. The purpose of this study was to determine the pathogenicity of Entomopathogen Fungus Beauveria bassiana at different conidia dilutions (J), namely J1 (105), J2 (106), J3 (107), J4 (108), and J5 (109). The mortality of S. innotata larvae was tested with the density of B. bassiana of 2.08 × 106 conidia/ml. The effect of B. bassiana on the success transformation of S. innotata larvae to pupae for 14 observation day was also observed at the same B. bassiana density. This research resulted in the optimal pathogenicity of B. bassiana at dilution of 107 (treatment J3) which caused 100% death and 100% successful pupation. The lowest treatment was J5 (109 dilution) with a mortality rate of 50% and a successful pupation of 20%. The results of the probit analysis showed that the fastest average lethal time (LT50) value was found in treatment of 107 (J3) which reached 11.11 h. Keywords: Beauveria bassiana, Pathogenicity, Probit analysis, Scirpophaga innotata.
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.

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