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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
 103   104   105   106   107 
Evaluation of Fertilizer Management Approaches in Maintaining Soil Fertility and Plant Nutrient Content in Coffee-Based Agroforestry Systems Kurniawan, Syahrul; Febiona, Silvia; Nugroho, R Muhammad Yusuf Adi Pujo; Utami, Sri Rahayu
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1857-1868

Abstract

Application proper type and dose of fertilizer will maintain soil fertility and help coffee growing better in the agroforestry system. Mis-management in fertilization compromises soil quality, and therefore it is underscoring the imperative to ascertain proper type and dosage of fertilizer for maintaining soil properties and nutrient storage. The study aims to assess and evaluate the role of fertilizer management in influencing soil properties, nutrient stocks, and leaf nutrient content. The field experiment was conducted in smallholder coffee agroforestry systems East Java – Indonesia. A randomized block design including a control plot in the protected area and nine combinations of fertilizer types (i.e., organic, inorganic, and mixed) and doses (i.e., low, medium, and high), with three replications, was applied to coffee trees in an agroforestry system. This study proves that differences in fertilizer management did not significantly changes soil physical properties (i.e., soil bulk density and total porosity), indicated that changing in soil physical properties occurred in the long time. In addition, the reduced fertilizer dose (the low dose fertilizer application) had comparable soil available P, and higher soil exchangeable K and soil P stock as compared to those in the protected areas. The study revealed that applying low-dose mixed fertilizer management effectively improved soil fertility.
Assessment of Soil and Water Conservation Potential Using Vetiver Crops (Chrysopogon zizanioides) as a Nature-Based Solution for Watershed Restoration Setyawan, Chandra; Nugraheni, Yekti; Ngadisih, Ngadisih; Maftukhah, Rizki; Safrina, Devi
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1785-1797

Abstract

Watersheds play an important role in the hydrological cycle to ensure water availability and support food security. Currently, many watersheds are experiencing degradation due to excessive agricultural practices without the implementation of soil and water conservation measures. This study aims to assess the potential of Vetiver crops (Chrysopogon zizanioides L.) for soil and water conservation as a nature-based solution for watershed protection.n. This research use Geographic Information System (ArcGIS) tools to analyze land suitability for Vetiver cultivation. A multi-criteria evaluation approach was applied using a scoring system based on key environmental indicators including rainfall, temperature, slope gradient, land use type, soil type, and organic matter content. The results indicate that most of the study area was classified as moderately suitable (61.98%) and marginally suitable (38.00%) for vetiver plants, with only 0.01% falling into the highly suitable and not suitable categories, respectively. The integration of spatial analysis and environmental indicators allowed for the identification of priority areas where Vetiver could be effectively implemented to enhance watershed resilience, mitigate erosion, and support sustainable land management. The finding of this study provides a reference for vegetation method development using crops with economic value which is suitable for tropical areas.
Comparison of Machine Learning Models for Classifying Consumer Sentiment of Coffee Shops on Social Media X Pamungkas, Agung Putra; Mahendra, Adam; Aziz, Ibnu Wahid Fakhrudin
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1905-1912

Abstract

With the intense competition in the coffee shop industry, understanding consumer opinions has become crucial for businesses. This study analyzes consumer sentiment toward the Janji Jiwa and Kopi Kenangan brands using tweet data from platform X. Sentiments were classified into positive, neutral, and negative categories using three algorithms: Logistic Regression (LR), Naïve Bayes (NB), and Support Vector Machine (SVM). The performance of these algorithms, in terms of accuracy and predictive capability, was evaluated using the TF-IDF method for text representation. The evaluation results show that LR achieved the highest accuracy at 79%, followed by SVM (78%) and NB (75%). Additionally, LR recorded consistent and balanced scores across the precision, recall, and F1-score metrics. These findings indicate that LR and SVM are more effective for multiclass sentiment classification in social media contexts
Preface June 2025 jtep, jtep
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 3 (2025): June 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i3.%p

Abstract

The Effectiveness of Hydrocooling in Maintaining Broccoli Quality During Storage Wulansetiasari, Rizky; Ahmad, Usman; Darmawati, Emmy
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1843-1856

Abstract

Broccoli is a vegetable with high economic value, but it is also a highly perishable agricultural product after harvest. One method to extend its shelf life is hydrocooling, which involves cooling the product immediately after harvest to reduce the respiration rate, a key factor in quality degradation during storage. This study aimed to determine the optimal temperature and duration of hydrocooling to maintain the quality of fresh broccoli and to observe quality changes during storage. Hydrocooling was applied by immersing broccoli in cold water for 10 and 20 minutes, followed by storage at room temperature and low temperature. Quality observations were conducted for 7 days at room temperature and 16 days under chilled storage (5°C). The quality parameters observed included respiration rate, moisture content, weight loss, microbial contamination, color, and vitamin C content. Results showed that under room temperature storage, there was no significant difference between broccoli with and without hydrocooling; both maintained their quality only up to 4 days. However, the combination of hydrocooling and chilled storage preserved broccoli quality up to 14 days, while the control (without hydrocooling) only lasted until day 10. Therefore, hydrocooling is effective when combined with low-temperature storage, helping to maintain postharvest freshness and extend the shelf life of broccoli.
Chili Ripeness Level Detection with YOLOv8 and Fuzzy Logic for Harvest Decision Making Rahmawati, Ninda Yulia Dwi; Rochim, Febry Putra
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1807-1818

Abstract

Conventional chili harvesting relies on subjective human judgment, resulting in inconsistencies that necessitate a computer vision-based automation system. This study develops a decision support system integrating YOLOv8 for object detection and Mamdani fuzzy logic to assess chili ripeness levels. The YOLOv8 model was trained on 5,598 annotated chili images divided into three ripeness categories: ripe, unripe, and defective (rotten, diseased, or physically damaged), using an 80:20 training-testing split. YOLOv8 classification results serve as inputs to a fuzzy inference system that outputs three linguistic harvest decisions: delay, partial, or full harvest. Experimental evaluation indicates that YOLOv8 achieved 91.2% accuracy, 89.6% precision, and 87.3% recall on the test set. The fuzzy logic system obtained 88% accuracy in harvest decision-making on unseen data, demonstrating output consistency across repeated inferences. Overlapping triangular membership functions enable the fuzzy system to manage intra-class variations and image noise, thereby improving adaptability. These results confirm the feasibility of integrating YOLOv8 and fuzzy logic to support reliable and adaptive automated harvest decisions in chili farming, with potential application in precision agriculture.
The Effect of Drying and Roasting Times on Sensory and Physicochemical Characteristics of Ground Roasted Coconut Hartuti, Sri; Juanda, Juanda; Mustaqimah, Mustaqimah
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1798-1806

Abstract

Ground roasted coconut is used as a cooking spice, especially in Aceh, with distinctive aroma and fragrant taste. This study aimed to examine the effect of drying time and roasting time on the sensory and physicochemical characteristics of roasted coconut. This research was designed with two treatment factors in triplicate. First factor was the drying time (1, 3, and 5 h), and second factor was roasting time (5 and 10 min). The results showed that drying time has a significant effect on the aroma, color, taste, and air content. The longer the drying time, the higher the sensory characteristics: aroma, color, and taste of ground roasted coconut, but the percentage of water content of the roasted coconut produced is lower. The roasting time also affected the taste and aroma of ground roasted coconut. The longer the roasting process, the higher the sensory characteristics of the taste and aroma of ground roasted coconut. The interaction of drying time and roasting time only has an effect on the sensory taste of ground roasted coconut. Drying time and roasting time did not significantly affectted on fat content and free fatty acid content, both of these parameters are more influenced by other factors, such as drying temperature, harvest age and coconut quality.
Intention to Revisit Agrotourism: Effect of Service Quality and Visitor Experience Hidayah, Imatul; Muhaimin, Abdul Wahid; Isaskar, Riyanti
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 6 (2025): December 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i6.2145-2156

Abstract

Agrowisata Kebun Belimbing in Bojonegoro faced a decline in visitor numbers from 2021 to 2023. To increase visitor interest to return, the Agrotourism needs to enhance the quality of experiences that tourists receive and enjoy. This study aims to examine how service quality and visitor experience affect revisit intention, with satisfaction function as a mediating variable. The research employed explanatory quantitative method with a Structural Equation Modeling - Partial Least Square (SEM-PLS) approach. As many as 100 respondents who have visited the agrotourism was selected purposively. Data was collected through an online questionnaire and was analyzed using WarpPLS software. The results conclude that service quality and visitor experience directly affect visitor satisfaction significantly, with path coefficients of respectively 0.45 (p < 0.01) and 0.38 (p < 0.05). Both factors, however, did not directly affect on revisit intention, with path coefficients of 0.12 (p > 0.05) and 0.15 (p > 0.05), respectively. Visitor satisfaction, on the other hand, significantly influences revisit intention, with a path coefficient of 0.52 (p < 0.01), indicating that higher satisfaction increases the likelihood of revisiting the destination. Notably, service quality and visitor experience indirectly affect revisit intention through satisfaction, with effect sizes of 0.23 and 0.21, respectively.
Effect of Seed Bulb Cutting Size and Planting Media Volume on the Growth and Yield of Shallot (Allium ascalonicum L.) under a Hydroponic Wick System Rizaldi, Muhammad Fahri; Hidayat, Ramdan; Suhardjono, Hadi
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 6 (2025): December 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i6.2187-2193

Abstract

Shallots (Allium ascalonicum L.) are cultivated as a high economic value agricultural business. Cutting the tip of the seed bulb can stimulate, accelerate and synchronize plant growth. In hydroponic cultivation, the volume of planting media is an important component that needs to be considered. This research was conducted at the Greenhouse Hydroponic Farm Lamongan, Lamongan District, Lamongan Regency, East Java. Split plot design (RPT) or split plot design in a Completely Randomized Design (CRD) with the main plot (main plot) the volume of planting media (U) with 3 levels: 10cm (U1), 15cm (U2), 20cm (U3) and sub plots (sub plots) are the size of the cutting of the seed bulbs (P) with 4 levels: not cut (P0), cut 1/4 (P1), cut 1/3 (P2), cut 1/2 (P3). It was found that the treatment of the size of the cutting of the seed bulbs affected the vegetative and generative variables. Meanwhile, the treatment of planting media volume affects generative variables, especially on the number of harvested bulbs per box and the weight of harvested bulbs per box. The most optimal interaction between the combination of the size of cutting seed bulbs and the volume of planting media occurs at the size of cutting seed bulbs of 1/4 part and the volume of planting media of 10 cm, which is able to increase the weight of harvested bulbs per clump.
Effect of IBA (Indole Butyric Acid) Concentration on the Growth of Avocado Plant Cuttings (Persea americana Mill) Safira, Maulida; Sulistyono, Agus; Moeljani, Ida Retno
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 6 (2025): December 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i6.2039-2045

Abstract

The demand for avocados in Indonesia continues to rise, while the availability of high-quality seedlings remains limited. Propagation through stem cuttings with the application of IBA (Indole Butyric Acid) is expected to improve propagation success. This study aims to determine the effect of IBA concentration on the growth of avocado stem cuttings. The research was conducted in Bojonegoro, East Java, using a Completely Randomized Design (CRD) with one factor, namely five concentrations of IBA: 0, 75, 100, 125, and 150 ppm. Observed parameters included shoot length, number of shoots, number of leaves, and number of primary roots. The results showed that IBA concentration had a significant effect on all observed parameters, while cutting length had no significant effect. A concentration of 100 ppm produced optimal growth of 1.92 cm, 2.50 shoots, and 4.33 leaves. The treatment without IBA resulted in the lowest values. The application of IBA at concentrations of 75–100 ppm effectively enhanced the growth of avocado stem cuttings, particularly in shoot and leaf development.

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