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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 1,203 Documents
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Heat Unit–Based Prediction of Harvest Age in Rice under Different Planting Spacings and Genotypes Yohana Kathryn Siahaan; Dulbari Dulbari; Juwita Suri Maharani; Moh Haris Imron S Jaya
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.963-979

Abstract

Heat unit (HU) is widely used to describe crop thermal requirements; however, its application for determining rice harvest age across different planting spacings and genotypes remains limited. This study aimed to evaluate the effects of plant spacing and genotype on HU accumulation and to assess the usefulness of HU as a predictor of harvest age and yield-related traits in rice. The experiment was conducted in a greenhouse using a factorial randomized complete block design with three planting spacings (Jarwo 2:1, Tegel 25 cm × 25 cm, and transplanter-based spacing 35 cm × 15 cm) and four rice genotypes (PTP 01, Inpari 24, Jeliteng, and Pandan Wangi). Results showed that HU accumulation during the vegetative phase was uniform across all treatments, reaching approximately 776 °C⸳day, indicating a common thermal threshold for early growth. In contrast, significant differences emerged during the generative phase and at harvest. Plant spacing significantly affected HU accumulation and harvest timing, whereas genotype did not alter total HU requirement but strongly influenced yield expression. The Jarwo 2:1 system required the lowest total HU to reach physiological maturity (~1134 °C⸳day), followed by Tegel 25×25 cm (~1146 °C⸳day) and transplanter spacing (~1159 °C⸳day). Inpari 24 consistently exhibited superior plant height, grain filling, and grain weight per panicle, indicating higher efficiency in converting accumulated HU into yield. Heat unit–based thresholds provide a reliable tool for predicting rice harvest age and optimizing genotype–spacing combinations.
Antioxidant Activity and Sensory Profile Characterization of Herbal Tea Made of Melinjo (Gnetum gnemon L.) Peels and White Turmeric (Curcuma zedoaria) Alifah Lailatul Rahmah; Dase Hunaefi; Nancy Dewi Yuliana
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.980-990

Abstract

Melinjo peel, a by-product of melinjo cracker production, has the potential to become waste if not utilized optimally. Howeever, it contains bioactive compounds that can be processed into herbal tea bags with health benefits. Melinjo peel has relatively low antioxidant activity; therefore, the addition of other ingredients, such as white turmeric is necessary to enhance the functional value of the herbal tea. Herbal tea bags generally have a slightly bitter and astringent taste; thus, stevia leaves were added as a natural sweetener. Formula optimization of the herbal tea was carried out using response surface methodology (RSM), with total flavonoid content and antioxidant activity as the measured responses. The optimal formula was further subjected to sensory profile characterization (RATA method and hedonic rating) to determine the selected formulation. The selected herbal tea formula consisted of 50% melinjo peel, 40% white turmeric, and 10% stevia leaves. Based on the RATA test, the herbal tea was characterized by attributes of licorice, sweet, floral, bitter aftertaste, astringency, and metallic aftertaste, with an average liking score of 3.51 (liked).
Rainfall Prediction with Radial Basis Function Neural Network and Its Correlation with Bird's Eye Chili (Capsicum frutescens) Production in Sawangan Subdistrict Magelang Regency Azka Sinatrya; Bayu Dwi Apri Nugroho; Chandra Setyawan
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.1241-1253

Abstract

Climate change causes rainfall anomalies that directly impact the decline in horticultural crop productivity, particularly bird's eye chili (Capsicum frutescens). This study aimed to analyze the effect of global rainfall indices in Sawangan Subdistrict through the development a prediction model. Modeling was performed using Radial Basis Function Neural Network (RBFNN) method with Principal Component Analysis (PCA) integration to simplify the climate index input variables. Model accuracy was evaluated using the Root Mean Squared Error (RMSE), Nash-Sutcliffe Efficiency (NSE), and R2. Furthermore, the prediction results were correlated with chili production data to test the relevance of the model to actual conditions. Results showed that model configurations provide varying performance. The best model based on evaluation is the model in the 15-year range using PCA 3 global climate indices and training percentage of 90% (RMSE: 101.39; NSE: 0.7268). However, for validation and correlation with production, it was found that the 15-year range using PCA 5 global climate indices and training percentage of 70% was the best model with highest R2 value of 0.8572 and correlation value close to actual value. Variations in data period, number of climate indices, and training data proportion affect model performance. Adding data volume and variable complexity does not always improve accuracy, so it is necessary to identify the optimum point to get the most reliable prediction model.
Impact of El Niño on the Productivity and Income of Conventional and Organic Oil Palm Farmers at Penawar Tama, Tulang Bawang Regency Siti Ghalika Permata Suri Almega; Zainal Abidin; Yaktiworo Indriani; Ktut Murniati; Fembriarti Erry Prasmatiwi
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.918-929

Abstract

Extreme weather condition such as El Niño phenomenon potentially result in great effect on farm production. This study aims to analyze the effect of El Niño on the productivity and income of organic and conventional oil palm farming. The research was conducted in Penawar Tama Subdistrict, Tulang Bawang Regency, during March–April 2024, using a survey involving 56 oil palm farmers. Data were analyzed using paired sample t-test, Wilcoxon Signed Rank, Mann-Whitney test, and described qualitatively. Results indicate that El Niño phenomenon had significant negative impacts on productivity, revenue, and farmer income, as evidenced by the premature fruit drop under extreme drought conditions. Specifically, oil palm productivity declined by 19.14% for organic farm, and by 20.46% for conventional farm. The income of organic oil palm farmers fell by 61.70% (equivalent to 7,400,446.44 IDR/ha), and that of conventional farmers declined by 127.09% (equivalent to 5,048,508.01 IDR/ha). The paired sample t-test and Wilcoxon Signed Rank test revealed significant differences in productivity, total costs, Fresh Fruit Bunch (FFB) prices, revenue, and income before and during El Niño phenomenon, with significance values of less than 0.05. The Mann-Whitney test showed significant differences in productivity, total costs, revenue, and income between organic and conventional oil palm farming during the El Niño. However, no significant difference was found in FFB selling prices.
Performance of Shell Peeling Machine for Koro Pedang (Canavalia ensiformis) Agus Sutejo; Gilang Ramdani; Rafi Rizky Mulyadi; Dinur Saptiadi
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.1208-1221

Abstract

The increasing demand for tempeh made from koro pedang (Canavalia ensiformis) beans requires large quantities of kernels processed rapidly and efficiently. This study evaluated the performance of a newly developed outer-shell peeling machine to enhance peeling capacity and seed–shell separation efficiency. Experiments were conducted at three rotational speeds (730, 820, and 960 rpm) with three replications per treatment. Observed parameters included peeling capacity, peeling efficiency, separation efficiency, percentage of broken seeds, and fuel consumption. Results showed that increasing rotational speed improved peeling capacity from 32.41 to 51.77 kg/h, with the highest value obtained at 960 rpm. Maximum peeling efficiency reached 93.09%, while the highest separation efficiency was approximately 83.09% at 960 rpm. The percentage of broken seeds remained low (≤0.99%). Fuel consumption was 0.43 L/h, indicating good energy efficiency for small- to medium-scale operations. Overall, the machine use increases production throughput, shortens processing time, and reduces reliance on manual labour, supporting the sustainable development of tempeh industries based on koro pedang beans.
Development of Fish-Based Halal Gelatin as an Edible Film Coating Material Junanda Auditya Onasis; Ela Roswasti Angelia Syeba Ginting
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.1277-1287

Abstract

This study focuses on food products innovation by employing animal-derived material as a basis ingredient for making gelatin. Increasing halal lifestyle provides an opportunity to innovate and answer challenges in meeting consumer needs. The manufacture of animal-based gelatin in the production of edible packaging is a promising solution to reduce plastic waste, but it needs to meet halal requirements. This review analyzes gelatin usage, the application of animal-based food resources, and the potential of edible films as packaging materials in halal product development for Muslim consumers. Edible packaging has great capability to decrease plastic waste and meet the demands of an increasingly conscious market for halal and safety in food products. The results showed that fish gelatin-based edible film is biodegradable, safe for consumption, and able to protect food products from oxidation and microbial contamination because it has a thin layer that can inhibit oxygen. Various studies have also shown that the mechanical and physicochemical characteristics of edible films depend on the fish source and the additives utilized Edible films derived from fish gelatin with halal certification represent a key innovation in supporting halal food industries, minimizing plastic packaging, and improving product preservation time.
Application of Mycorrhizal Inoculum and Moringa Leaf Extract to Improve Growth and Yield of Soybean (Glycine max L.) on Alluvial Soil Agnes Tutik Purwani Irianti; Agus Suyanto; Sherly Oktarianti; Edi Kurniadi
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.1014-1022

Abstract

Soybean (Glycine max L.) production in Indonesia faces persistent challenges, with productivity declining from 16.70 quintals/ha in 2021 to 14.56 quintals/ha in 2023. Alluvial soils in West Kalimantan, encompassing approximately 1,495,033 ha, present opportunities for soybean expansion but are constrained by low pH, poor nutrient availability, and suboptimal biological activity. This study investigated the combined effects of arbuscular mycorrhizal fungi (AMF) inoculation and moringa (Moringa oleifera) leaf extract application on soybean growth and productivity on alluvial soil. A factorial completely randomized design was employed with AMF doses (0, 5, and 10 g/polybag) and moringa leaf extract volumes (150, 200, and 250 ml polybag⁻¹ at 20% v/v), replicated three times. Two-way factorial ANOVA showed significant main effects and significant interaction effects (M×E) between AMF and moringa extract for all measured variables (P < 0.05 or P < 0.01). The combination of AMF at 10 g/polybag with moringa extract at 250 ml/polybag (M₂E₃) produced optimal results with 97.2 pods/plant and 48.6 g seed dry weight (DW) per plant, representing increases of 129% and 191% over the non-mycorrhizal lowest-dose control (M₀E₁), respectively. These findings suggest that integrated application of AMF and moringa extract represents a promising strategy for improving soybean productivity on marginal alluvial soils, pending field-scale validation.
Effect of Benzyladenine (BA) and Thidiazuron (TDZ) Application on the Bud Emergence and Seedling Uniformity of Sugarcane Setts Puput Ninggariawan; Yusnita Yusnita; Dwi Hapsoro; Kukuh Setiawan; Rusdi Evizal
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.1037-1043

Abstract

Benzyladenine (BA) and thidiazuron (TDZ) are widely recognized as plant growth regulators that can stimulate bud activation in sugarcane. However, information regarding the synergistic effects of BA and TDZ, particularly in field-level sett treatment, remains limited. This study aimed to evaluate the effect of benzyladenine (BA) and its combination with thidiazuron (BA+TDZ) on bud emergence and seedling uniformity of sugarcane (Saccharum officinarum L.) setts. The experiment was arranged in a randomized complete block design with three replications, involving four sugarcane varieties (GP 99-8009, GP 05-17, GP 08-132, and TC 09) and three treatments: control (0 ppm), BA 50 ppm, and BA 50 ppm + TDZ 5 mg/L. Each experimental unit consisted of 20 buds from 10 two-budded setts. The results showed that the combination of BA 50 ppm + TDZ 5 mg/L significantly enhanced bud emerging percentage, plant height, and fresh and dry stem weights compared to BA alone and control. Variety had no significant effect, and no interaction was observed between variety and hormonal treatment. It can be concluded that the combination of BA and TDZ effectively stimulates bud emergence and early growth of sugarcane, indicating its potential use in seedling establishment.
Analysis of Mill Motor Speed on the Sugar Value in Bagasse Using the Fuzzy Logic Method at the Sugar Factory of PT. Pratama Nusantara Sakti Ricky Rachman Nursa; Helmy Fitriawan; Sri Ratna Sulistiyanti
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.1130-1142

Abstract

The Indonesian sugar industry faces a serious challenge in the form of low efficiency in sugarcane milling, which is indicated by the high pol value in bagasse. This condition indicates that a considerable amount of sugar remains trapped in the bagasse, resulting in sugar losses and reduced productivity. One of the operational factors contributing to this phenomenon is the rotational speed of the mill motor, as non-optimal speed can affect the level of juice extraction and the amount of sugar remaining in the bagasse. Therefore, this study aims to analyze the effect of mill motor rotational speed on the pol value of bagasse and to optimize this parameter using the fuzzy logic method. The fuzzy system was designed to process machine variables (motor speed and motor load) as well as supporting factors (moisture content, temperature, service life, and harvesting age) through inference rules based on membership functions. Results show that most fuzzy predictions are consistent with the actual data from the quality control division, with a high level of accuracy indicated by an RRMSE of 7.84%, MAE of 0.0603, and MAPE of 3.34%. These findings demonstrate that fuzzy logic is capable of handling uncertainty and the complexity of variables in the milling process, while also providing a practical solution to reduce sugar losses, improve quality, and enhance the productivity of the national sugar industry.
Rapid Detection of Dragon Fruit Peel Powder Adulteration by Vis-NIR and SW-NIR Spectroscopy with PLSR Model Nadya Hafidzatun Nisa; Rudiati Evi Masithoh; Muhammad Fahri Reza Pahlawan; Hanim Zuhrotul Amanah; Reza Adhitama Putra Hernanda
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 3 (2026): June 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i3.991-1006

Abstract

An important factor in choosing a food product is its quality and safety. Meanwhile, visual aspects are a benchmark for product acceptance. Dragon fruit peel powder (DFP) has excellent potential as a natural food coloring. This study aims to detect adulteration in dragon fruit peel powder using two spectroscopy techniques: Visible-Near Infrared (Vis-NIR) and Shortwave-Near Infrared (SW-NIR) spectroscopy. The adulterants include purple sweet potato flour (PP), erythrosine dye powder (ER), and remazol textile dye powder (TX) with varying concentrations of 0%, 0.5%, 1%, 5%, 10%, 20%, 30%, 40%, 50%, and 100%. Partial least squares regression (PLSR) with ten spectral preprocessing methods was used to analyze data and assess model performance. The results show that combining of spectroscopy with the PLSR model significantly improves accuracy, achieving R²P values above 0.92 for all adulterants. These findings highlight Vis-NIR and SW-NIR spectroscopy combined with PLSR modeling, as rapid, non-destructive tools. Vis-NIR spectroscopy proved superior to SW-NIR spectroscopy in detecting food colorant adulteration because of its sensitivity to color pigments.

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