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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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Quality Control Analysis of Reject Products in the Multiline Machine Packaging Process Using the Statistical Quality Control (SQC) Method Olivia Safa Salsabila Ali; Budi Hariono
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.v14i2.448-457

Abstract

Food packaging is used to wrap products in order to protect them from external contamination, including ensuring food safety. Multiline machine is commonly used as the form of packaging. The problem is, the product that is rejected is often surpass the standard limits that has been set by the company. This study aims to identify the types of rejects that often occur, identify rejects that are still within the control limits or not and what factors cause reject products. Statistical Quality Control (SQC) method with seven control tools is used within this research. The study concludes there were 6 types of rejects produced by the multiline machine. 3 of the highest rejects types on the pareto diagram of the multiline machine, namely leaking as many as 5,550 sachets for percentage of 28.16%, reject cutter as many as 4,760 sachets for percentage of 24.21% and packaging precision as many as 4,180 sachets for percentage of 21.21% with a cumulative percentage of 73.52%. After being revised, the results of the reject control chart analysis are still within the control limits, but still with high amounts of rejects. Materials, machines, people, and methods are the factors that affect products to be rejected. Keywords: Control chart, Multiline machines, Packaging, Reject Statistical Quality Control (SQC)
Water Productivity of Mustard Green (Brassica juncea L.) Under Drip Irrigation Systems and Organic Matter Addition Nova Anika; Siti Mutmainah; Muhammad Kusmali; Harmiansyah Harmiansyah; David Septian Sumanto Marpaung; Ridwan Ridwan
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.v14i2.677-684

Abstract

Drip irrigation technique, in combination with the utilization of organic matter like as biochar and cocopeat, can increase water productivity by tailoring irrigation water to plant demands. This study was to investigate how organic matter can improve water productivity in mustard green production utilizing a drip irrigation technique. The greenhouse pot experiment analyzes the effect of adding varying quantities of biochar and cocopeat to mustard greens' growth medium using a drip irrigation technique. The findings indicate that adding organic matter reduced the quantity of water needed for irrigation. The soil and biochar combination treatment at a 1:1 ratio resulted in the highest water productivity for mustard green, whereas the control treatment produced the least. Mustard green grows optimally in a soil + biochar (1:1) growing medium, yielding the most water productivity at 16.8 g/L. Biochar can boost biomass yield by twice as much as the control treatment. Furthermore, biochar can increase mustard green water productivity by more than 300% when compared to mustard green, which relies solely on soil for planting medium. Further study is needed to investigate the effects of biochar features on water holding capacity, field capacity, and wilting point in different soil types to improve irrigation efficiency. Keywords: Drip irrigation, Irrigation efficiency, Organic matters, Water productivity.
Accumulation of Heavy Metal Copper (Cu) in Mangrove Vegetation in River Flow of the Sea Coast Dina Riska Triswanti; Moch Arifin; Purnomo Edi Sasongko
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.v14i2.352-361

Abstract

Mangroves have ecological functions, one of which is being able to absorb and accumulate heavy metals which can pollute the environment. The aim of the research is to assess the ability of mangroves to accumulate the heavy metal Cu. The research location is on the East Surabaya River Coast. The research method is purposive sampling with a distance of 250 m from one point to another. The pH value is classified as neutral to slightly alkaline. The salinity value is classified as very high. The texture of mangrove sediments has fine particles consisting of clay and dust. Cu concentrations in sediments are still below quality standards according to the United States Environmental Protection Agency (US-EPA). The Cu concentration in the sediment was highest in the Tambak Oso River with an average of 50.50 mg/kg. The concentration of heavy metals in the roots is higher than in the leaves. The bioconcentration factor (BCF) value is classified as the excluder, while the translocation factor value is classified as the phytostabilization and phytoextraction classes. Keywords: Estuaries, Mangroves, Pollution, East surabaya, Cu toxicity.
Geostatistical Approach and Drone Image Analysis of the Spatial Distribution of Bacterial Leaf Blight in Rice Plants Hery Nirwanto; Sri Wiyatiningsih; Salsa Bila Ari Nur Izza
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.v14i2.582-593

Abstract

Bacterial leaf blight caused by the bacterium Xanthomonas oryzae is an important disease because it can cause severe damage and can infect the vegetative and generative phases of rice plants. This research was carried out to determine the spatial distribution of leaf blight using a geospatial approach and drone imagery. The results of this research indicate that the distribution of bacterial leaf blight disease on land at the research location tends to be higher in the northern part compared to the southern part of the land. The attack rate value at the end of the observation ranged between 20-68%. The distribution of leaf blight on land can be described through simulations using a geostatistical approach and confirmed by aerial imagery. Aerial imagery, especially binary imagery and kriging imagery, mutually confirm (crosscheck) the occurrence of leaf blight on land. Aerial images that are processed into binary images have the potential to be a remote sensing method that can make it easier to observe the distribution of diseases on land, especially leaf blight. Keywords: Campestris, Drone Imagery, Geospatial, Rice, Xanthomona.
Analysis Rice Field Drought Potential using the Standardized Precipitation Index (SPI) Method Yusman, Rival Doli; Irsyad, Fadli; Arlius, Feri; Saputra, Rizky Armei; Yanti, Delvi
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.v14i2.494-505

Abstract

Drought analysis can be used as an early warning of drought in rice fields, which can be identified by connecting various parameters. This study aims to identify the potential for rice fields vulnerable to drought in Agam Regency. Drought is primarily caused by uneven rainfall distribution, leading to imbalanced hydrological conditions. This study used the last 30 years of rainfall data (1993 2022) from five stations located at Agam Regency (Canduang and Gumarang) and the rest outside of the study area (Padang Panjang, Suliki, and Paraman Talang). Spatial analysis of drought distribution was carried out using the Inverse Distance Weighted (IDW) method. The results showed the consistency test value of rainfall data for all five stations was obtained with an average of R² with a value of 0.992, the potential area of rice fields with a dry and very dry category was 13,640.61 ha and 904.55 ha, respectively. The conclusions of this study are (i) the districts with the most potential to be affected by drought (dry and very dry categories) are Tilatang Kamang and Malalak District, with an area of 2,058.15 ha and 750.48 ha, respectively, (ii) it is important to prepare the water shortage in the dry season by utilizing rivers, irrigation and reservoirs in the area. Keywords: Agam Regency, Drought Potential, Rain, Rice Fields, SPI.
Impact of Goat Manure, Dolomite, Zeolite, and Decomposer Trichoderma sp. Amendments on the Chemical Characteristics of Inceptisol, Growth and Production of Shallot Septiawan, M Nur Faiz; Priyadarshini, Rossyda; Arifin, Moch
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.v14i2.404-416

Abstract

Inceptisol is a type of young soil with low NPK nutrient content, which affects the yield of shallot. Efforts to improve the fertility of Inceptisol involve the application of soil amendments. The objective of this study to evaluate the most effective amendments for improving the chemical characteristics, enhancing the growth and yield of shallot. The research was conducted at the Tropical Horticulture Study Center (PKHT), IPB University, Bogor. The method used a two-factor Randomized Block Design (RALF). The first factor the type and combination of amendments (P), is P0 (Control), P1 (Dolomite), P2 (Goat Manure), P3 (Dolomite + Goat Manure), P4 (Dolomite + Goat Manure + Zeolite), P5 (Dolomite + Goat Manure + Trichoderma sp.), and P6 (Dolomite + Goat Manure + Zeolite + Trichoderma sp.). The second factor the variety of shallot (J), which included J1 (Tajuk Variety) and J2 (Sakato Variety). The results showed that the application of amendments and decomposers significantly influenced the chemical characteristics of Inceptisol. Treatment P6 (dolomite, goat manure, zeolite, and Trichoderma sp.,) produced the best results compared to other treatments. Meanwhile, the variety of shallot plants did not have a direct impact on the chemical characteristics of Inceptisol. Keywords: Amendments, Chemical characteristics, Decomposer, Inceptisol, Onion.
The Effect of Bio-Fertilizer Concentration and NPK Fertilizer Dosage on the Growth and Yield of Melon (Cucumis melo L.) Merlin Variety Alfani Ahsanul Ilmi; Juli Santoso; Sutini Sutini
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.v14i2.638-644

Abstract

Melon (Cucumis melo L.) is a fruit known for its sweet and refreshing taste. Traditionally, melon cultivation has relied on conventional farming methods. The use of biofertilizers offers an alternative to reduce dependency on synthetic fertilizers. This study aimed to enhance the production of healthy, high-yielding melon plants by substituting Mutiara NPK fertilizer with Bioto Grow Gold (BGG) biofertilizer. Conducted in Sukosongo Village, Kembangbau District, Lamongan Regency, East Java, the experiment employed a factorial Completely Randomized Design (CRD).Two factors were tested: BGG fertilizer at four concentrations (0 ml/L [P0], 1 ml/L [P1], 2 ml/L [P2], and 4 ml/L [P3]) and NPK fertilizer at four doses (0 g/plant [N0], 60 g/plant [N1], 70 g/plant [N2], and 80 g/plant [N3]). Results indicated that BGG fertilizer influenced both vegetative and generative growth variables, as did the Mutiara NPK fertilizer doses. The optimal combination was achieved with a BGG concentration of 3 ml/L and an NPK dose of 70 g/plant, which significantly increased the sucrose content in melons. Keywords: Bioto Grow Gold fertilizer, Biofertilizer, Melon, NPK Mutiara fertilizer.
Thermal Performance of LPG Stove as Heat Source of Rotary Dryer for Drying Corn for Small Farmers Ida Bagus Alit; I Gede Bawa Susana
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.v14i2.537-546

Abstract

Sunlight to dry post-harvest food materials such as corn highly depends on the weather. When it is cloudy or rainy, drying automatically stops. On the other hand, biomass dryer models such as rice husks are rather difficult to regulate the drying temperature. This study aims to create a dryer model that produces uniform temperatures and is easy for small farmers to operate. It is a rotary dryer with liquefied petroleum gas (LPG) energy. This study tested a small-scale rotary dryer based on drying time to reduce water content by up to 14%. The test used corn samples weighing 10 kg, 15 kg, and 20 kg with a water content of 18%. Testing to reduce water content to 14% is based on the Indonesian National Standard. The results showed that corn samples weighing 10 kg, 15 kg, and 20 kg required time and LPG requirements of 37 minutes and 0.092 kg, 52 minutes and 0.132 kg, and 90 minutes and 0.281 kg, respectively. The drying temperatures were 54.67°C, 55.96°C, and 57.63°C, respectively. Rotary dryers are useful for small farmers in developing areas who do not yet understand the technology. The short drying time allows this dryer machine to repeatedly dry corn. Keywords: Rotary dryer, Liquefied petroleum gas, Corn drying, Drying rate.
Influence of Temperature and Sweating Duration on The Quality of Vanilla (Vanilla planifolia Andrews) Farida Kurniasari; I Wayan Budiastra; Dyah Wulandani
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.v14i2.458-466

Abstract

Indonesia has significant potential for vanilla production. However, in terms of quality, Indonesian dried vanilla still has a low standard, one of the factors being the suboptimal post-harvest technology, particularly in the sweating process. This research aims to determine the optimal temperature and sweating duration to achieve the best vanilla quality in accordance with the Indonesian National Standard (SNI). After the harvesting process, the vanilla pods were treated by soaking them in warm water at a temperature of 65°C for 3 minutes. After the vanilla pods were wilted, they were wrapped using a combination of a towel cloth-black cloth-burlap. They were then sweated in an incubator at 40°C with 70% RH and 45°C with 70% RH for 2, 4, and 6 days. The observed vanilla quality parameters include weight loss, color, hedonic tests (aroma and color), vanillin content based on the methods of SNI 01-0010-2002 and ash content based on the methods of AOAC. The result shows that the optimal temperature and duration for sweating in an incubator are 40°C and 4 days. Keywords: Postharvest, Quality, Sweating, Vanilla, Vanillin.
Prediction of Phenotypic Parameters of Sugarcane Plants Based on Multispectral Drone Imagery and Machine learning Febri Hasskavendo; Mohamad Solahudin; Supriyanto Supriyanto; Slamet Widodo
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.v13i4.1182-1195

Abstract

Measuring phenotypic parameters is important in evaluating the productivity of sugarcane. Existing manual measurements are considered less efficient, so a better alternative method is needed. This research aims to explore the potential of using multispectral drone imagery and machine learning to estimate phenotypic parameters of sugarcane plants that are efficient, accurate, inexpensive, and support sustainable agricultural practices. Spectrum data captured by drones, namely Green, Red, RedEdge and NIR are used as inputs to estimate phenotypic parameters including brix value, number of stands, stem diameter, and plant height. Based on the results of machine learning model development, the ANN algorithm model is most effective in predicting Brix Value with R2 0.74 and RMSE 0.06 and number of stands with R2 0.68 and RMSE 2.13. All models could not predict stem diameter and plant height well. The best model to predict plant height was obtained by RF algorithm with R2 0.53 and RMSE 14.09. SVR algorithm was the best model to predict plant diameter with R2 0.39. and RMSE 0.49. This indicates that the effectiveness of an algorithm depends on the specific parameter being predicted and there is no dominant algorithm for all phenotypic parameters. Keywords: Machine learning, Multispectral drone imagery, Phenotypic parameter, Plant productivity, Sugarcane.

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