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INDONESIA
Jurnal Keteknikan Pertanian
Published by Institut Pertanian Bogor
ISSN : 24070475     EISSN : 23388439     DOI : -
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Jurnal Keteknikan Pertanian dengan No. ISSN 2338-8439, pada awalnya bernama Buletin Keteknikan Pertanian, merupakan publikasi resmi Perhimpunan Teknik Pertanian Indonesia (PERTETA) bekerjasama dengan Departemen Teknik Mesin dan Biosistem (TMB) IPB yang terbit pertama kali pada tahun 1984, berkiprah dalam pengembangan ilmu keteknikan untuk pertanian tropika dan lingkungan hayati. Jurnal ini diterbitkan dua kali setahun. Penulis makalah tidak dibatasi pada anggota PERTETA tetapi terbuka bagi masyarakat umum. Lingkup makalah, antara lain: teknik sumberdaya lahan dan air, alat dan mesin budidaya, lingkungan dan bangunan, energi alternatif dan elektrifikasi, ergonomika dan elektronika, teknik pengolahan pangan dan hasil pertanian, manajemen dan sistem informasi. Makalah dikelompokkan dalam invited paper yang menyajikan isu aktual nasional dan internasional, review perkembangan penelitian, atau penerpan ilmu dan teknologi, technical paper hasil penelitian, penerapan, atau diseminasi, serta research methodology berkaitan pengembangan modul, metode, prosedur, program aplikasi, dan lain sebagainya.
Arjuna Subject : -
Articles 647 Documents
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Spatial-Temporal Assessment of Water Balance in the Barugbug Irrigation Command Area Risqa Nurkhaida Rakhma; Liyantono; Setyono Hari Adi
Jurnal Keteknikan Pertanian Vol. 14 No. 2 (2026): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.014.2.258-268

Abstract

Efficient irrigation management requires accurate information regarding the spatial and temporal dynamics of water availability and irrigation requirements. However, water balance assessments in many irrigation systems are still commonly conducted using aggregated approaches, which provide limited information on the spatial-temporal distribution of water shortages within an irrigation command area. To address this limitation, this study evaluated irrigation water requirements, water availability, and water balance condition in Barugbug Irrigation Command Area using spatial approach. Effective rainfall was estimated through spatial interpolation using the Inverse Distance Weighting method. The irrigation water requirement was estimated using the Penman-Monteith method combined with pixel-based calculations. Water availability was estimated using the 80% dependable discharge (Q80) derived from operational records from 2014 to 2024. The analysis showed that irrigation water requirements consistently increased during the land preparation period, particularly in March and October. The highest Q80 value was recorded in March at 22.30 m3/s, whereas the lowest value occurred in October at 0.22 m3/s. Water balance analysis showed that surplus conditions generally occurred during the wet season, whereas water deficits emerged from the second period of August to the second period of October.
Rapid Analysis of Fresh Cow Milk Chemical Composition by Using Portable NIR Spectrometer Coupled with Machine Learning Aminatur Ridho; Epi Taufik; Cahyo Budiman; Diang Sagita; Slamet Widodo
Jurnal Keteknikan Pertanian Vol. 14 No. 1 (2026): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.014.1.144-161

Abstract

Analysis of milk composition is essential for quality assurance and compliance with regulations related to quality standards, yet current tools lack of rapid analysis capability especially for field application. This study investigated the potential use of portable near-infrared spectroscopy (NIRS) combined with chemometrics and machine learning to predict fat, protein and lactose content of fresh cow milk. Spectral data were collected from fresh cow milk samples using a portable device working in the short-wave NIR (740–1070 nm). Samples were obtained from five farms at two locations in the Bogor area during morning and evening milking times. As a reference to develop the predictive model, the fat, protein, and lactose contents were measured using Milkotester Master Eco, which is a standard widely accepted by farmers and the milk industry. Two predictive methods were applied: Partial Least Squares Regression (PLS-R) and machine learning algorithms (i.e. Artificial Neural Network (ANN) and Random Forest (RF)) with various data pre-treatments. The best PLS-R models achieved determination coefficient of prediction (R²p) values of 0.828 (fat), 0.397 (protein), and 0.384 (lactose). Machine learning models further improved R²p to 0.901, 0.562, and 0.444, respectively. These findings demonstrate that portable NIRS combined with machine learning enables fast and reliable milk composition analysis, particularly for fat content. However, the prediction performance for protein and lactose is still limited and needs to be further improved.
Optimization of Adaptive Floating Raft System Planting Media in Lebak Swamp for Pakcoy Plant Growth (Brassica rapa L.) Puspitahati; Ressy Angli Permatasari; Haisen Hower; Endo Argo Kuncoro; Vincentia Veni Vera; Nurul Izzah Aulia
Jurnal Keteknikan Pertanian Vol. 14 No. 2 (2026): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.014.2.269-283

Abstract

This study aimed to evaluate the effect of planting media composition in an adaptive floating raft system on the growth of pakcoy (Brassica rapa L.) cultivated in lebak swamp areas. Floating raft systems are expected to address challenges associated with high water-level fluctuations commonly found in lowland swamps while maintaining planting media stability. Three growing media compositions consisting of ultisol soil, manure, and husk charcoal with three different ratios: M1 (2:1:1), M2 (1:1:2), and M3 (1:1:1). Observed parameters included media pH, temperature, moisture content, and pakcoy growth characteristics, namely plant height, number of leaves, leaf width, and fresh and dry biomass. The results indicated that the M3 growing medium provided the most favorable conditions for pakcoy growth, as reflected by superior vegetative growth and biomass accumulation. In addition, the M3 treatment exhibited more stable moisture and temperature conditions, supporting optimal water availability for plant development. Crop water requirements were estimated using the Modified Penman method, showing an increasing trend in water demand along the growth stages. Overall, the adaptive floating raft system combined with an appropriate planting media composition proved effective in supporting stable pakcoy growth under fluctuating water-level conditions in lebak swamp environments.
Rapid NIR-Based Prediction of Free Fatty Acid and Moisture Content in Intact Oil Palm Fruits Using PLSR and Hybrid PLS–ANN Models Annisy Syahida Aulia; I Wayan Budiastra; Y Aris Purwanto; Yunisa Tri Suci; Agus Arip Munawar; Daniel Mörlein
Jurnal Keteknikan Pertanian Vol. 14 No. 1 (2026): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.014.1.108-124

Abstract

Rapid, non-destructive, and in-situ methods are essential for predicting the chemical composition of oil palm fruit to improve the harvesting efficiency. This study aimed to evaluate the performance of Partial Least Squares Regression (PLSR) and Partial Least Squares Regression-Artificial Neural Network (PLS-ANN) models with different spectral pre-treatments for predicting free fatty acid (FFA) and moisture content of oil palm fruit using a portable NIR spectrometer (740–1070 nm). A total of 408 oil palm fruits of the Tenera variety (Elaeis guineensis Jacq. var. tenera), representing 10 maturity stages (3–6 months), were used in this study. The reflectance spectra of the samples were acquired using a portable NIR Spectrometer and then transformed into absorbance spectra. The samples were then subjected to FFA and moisture content analysis using the chemical method. Some spectral pretreatments were applied to the NIR absorbance data before calibration. PLSR and a hybrid method integrating PLS and ANN were used to build calibration models for predicting FFA and moisture content. Performance evaluation revealed that the best model for predicting FFA was achieved using a combination of first derivative Savitzky-Golay and smoothing Savitzky-Golay pretreatments through PLS-ANN calibration (R² = 0.81, RPD_val = 2.34, and consistency = 87.88%). For moisture content, the best model was obtained using detrending pre-treatment through PLS-ANN calibration (R² = 1, RPD_val = 12.52, and consistency = 86.47%). These results indicate that the FFA prediction model is suitable for rough screening, whereas the moisture prediction model is suitable for various applications. These models demonstrate a strong potential for practical application at both the farmer and industrial levels.
Performance Evaluation of a Chiller System for Nutrient Solutions Temperature Control in Lowland Tropical Hydroponic Strawberry Cultivation Icha Fatwasauri; Rhesti Nurlina Suhanto; Friska Afadillah
Jurnal Keteknikan Pertanian Vol. 14 No. 1 (2026): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.014.1.162-177

Abstract

Hydroponic strawberry cultivation in tropical lowland regions is constrained by elevated ambient temperatures that increase Nutrient Solution Temperature (NST) beyond the optimal Root-Zone Temperature (RZT) range required for plant growth, leading to thermal stress, reduced nutrient uptake, and yield losses. This study aimed to design and evaluate the performance of a chiller-based cooling system integrated into a recirculating hydroponic setup to maintain the NST within the optimal range of 17–20°C for strawberry cultivation. A laboratory-scale prototype employing a vapor-compression refrigeration system using the R32 refrigerant was developed and tested under tropical conditions. The thermal performance of the system was assessed through cooling load calculations, thermodynamic analysis, and real-time monitoring of temperature, pressure, electrical parameters, and hydraulic conditions, whereas plant growth responses were observed qualitatively. The results demonstrate that the proposed system effectively reduced NST from elevated initial conditions to the target range within 18 minutes and maintained temperature stability using an on–off control strategy. The system achieved a stable actual Coefficient of Performance (COP) of approximately 4.02 with an overall efficiency of approximately 56%, indicating reliable operation under practical conditions. Root-zone temperature control significantly enhanced vegetative growth, leaf quality, and fruit uniformity compared with plants grown without cooling. The findings confirmed that direct nutrient solution cooling using a vapor-compression chiller is a viable and scalable engineering solution for hydroponic strawberry cultivation in tropical lowlands. This study contributes empirical performance data to the limited literature on chiller-integrated hydroponic systems and provides a practical foundation for extending high-value strawberry production into hot climates, while supporting sustainable and controlled agricultural practices.
Land Optimization at the Universitas Sains Indonesia to Increase the Percentage of Green Open Space Alfiya Rokhmah; Ririn Mulyani; Muhammad Yusuf Hamdhani; Doni Doni
Jurnal Keteknikan Pertanian Vol. 14 No. 1 (2026): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.014.1.125-143

Abstract

Bekasi Regency is one of the largest industrial areas in Southeast Asia, resulting in high population density and a decline in environmental quality and air availability. Green open spaces are a solution, namely urban farming, which can be applied to minimal land. This requires an optimal layout design so that efficient urban farming can be developed at the Universitas Sains Indonesia as a provision of green open spaces in the Cibitung subdistrict. This study aims to design an optimal urban farming layout at Universitas Sains Indonesia by optimizing limited land resources to increase the green open space. This study employs a mixed-method approach, combining qualitative site analysis and quantitative approaches, including field observation, land potential analysis, facility relationship analysis, and economic feasibility estimation. The proposed urban farming design integrates three main components: an aquaponic cultivation system, a vertical farming system, and a green-learning park. The aquaponic system utilized a 1000-liter fish tank integrated with hydroponic pipes containing 120 planting holes, whereas the vertical farming system provided an additional 60 planting holes to maximize land productivity. The results indicate that the ARC–ARD approach effectively supports spatial planning by organizing facilities into operational zones. Economic feasibility analysis showed that the system requires an initial investment of approximately Rp 12,270,000, with relatively low operational costs. In addition, the system has the potential to produce 37–45 kg of vegetables per month and 30–40 kg of fish per production cycle. Overall, the proposed urban farming model offers a sustainable strategy for optimizing limited urban land, improving environmental quality, and supporting green campus initiatives.
Spatial Assessment of Agroforestry Land Suitability in the Wanggu Watershed, Indonesia La Ode Muhammad Erif Erif; Kahirun; La Ode Siwi; Eka Rahmatiah Tuwu; Davik; La Gandri; Lucky Febriyanti; Vivi Fitriani
Jurnal Keteknikan Pertanian Vol. 14 No. 2 (2026): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.014.2.284-296

Abstract

This study aimed to evaluate land suitability for spatial-based agroforestry development by explicitly identifying the key biophysical characteristics of the Wanggu Watershed, an urban–peri-urban watershed experiencing rapid land-use change due to urban expansion and agricultural activities. The assessment focused on critical terrain and hydrological attributes, including slope class, elevation percentage, and distance from rivers, which strongly influence land productivity, erosion risk, and agroforestry feasibility. A Geographic Information System (GIS)-based spatial analysis was applied using a Multi-Criteria Evaluation (MCE) approach. Spatial datasets derived from Digital Elevation Models (DEM), river networks, and land characteristics were classified into weighted parameters: slope (0–15%, 15–35%, >35%) and river buffer distance (0–500 m, 500–1000 m, >1000 m). Each parameter was scored and overlaid to generate the land suitability maps. Field verification was conducted at 40 sampling points across six sub-districts to ensure consistency between spatial modeling and actual biophysical conditions.The results revealed distinct spatial patterns of land suitability driven by topographic variations. Lowland areas with gentle slopes (0–15%) are predominantly classified as suitable for productive agroforestry systems, whereas moderately sloping areas (15–35%) require conservation-oriented agroforestry practices. Steep terrains (>35%), mainly located in upstream regions, are more appropriate for protection and for ecological rehabilitation. In terms of hydrological proximity, areas located 500–1000 m from rivers showed the highest suitability, whereas riparian zones require careful ecological management. Overall, approximately 65–70% of the watershed is categorized as “Suitable,” and 30–35% as “Moderate.”These findings demonstrate that integrating biophysical characteristics through GIS-based MCE provides a robust basis for agroforestry zoning, thereby supporting sustainable land management and watershed conservation strategies.

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