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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 623 Documents
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Analisis Distribusi Suhu dan Aliran Udara pada Proses Pengeringan Wortel Menggunakan Tray Dryer Berbasis Simulasi CFD Renny, Renny; Muhammad Iqbal, Muhammad Iqbal; Eka Putri, Renny; Putri, Annisa Octaviani; Abdi Lubis, Muhammad Iqbal
Jurnal Keteknikan Pertanian Vol. 13 No. 4 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.4.529-545

Abstract

Wortel (Daucus carota L.) merupakan sayuran bernutrisi tinggi yang mudah rusak akibat kandungan airnya yang tinggi. Pengeringan merupakan metode yang efektif untuk memperpanjang masa simpan wortel, salah satunya dengan menggunakan alat pengering tipe rak (tray dryer). Namun, efisiensi proses pengeringan sangat dipengaruhi oleh keseragaman distribusi suhu dan aliran udara di dalam ruang pengering. Penelitian ini bertujuan untuk mengevaluasi distribusi suhu dan aliran udara pada tray dryer menggunakan pendekatan Computational Fluid Dynamics (CFD) selama proses pengeringan wortel. Simulasi dilakukan pada tiga variasi suhu (50°C, 60°C, dan 70°C) dan dua kecepatan aliran udara (2 m/s dan 3 m/s) dengan bantuan perangkat lunak SolidWorks, ANSYS Fluent, dan Origin. Hasil simulasi menunjukkan bahwa distribusi suhu dan aliran udara tidak merata, terutama pada bagian tengah dan atas alat pengering. Ketidakteraturan ini dapat menyebabkan pengeringan yang tidak seragam dan menurunkan kualitas produk akhir. Validasi dengan data pengukuran menunjukkan bahwa model simulasi memiliki tingkat kesalahan kurang dari 4%, sehingga dapat dianggap cukup akurat untuk digunakan dalam perancangan dan optimasi sistem pengeringan yang lebih efisien.
Portable NIR Spectroscopy for Cocoa Bean Re-fermentation Analysis: A Rapid and Reliable Technique Samsudin, Samsudin; Rahardjo, Yogi Purna; Firdaus, Jonni; Suro Mardjan, Sutrisno; Mitaray, Musimura K
Jurnal Keteknikan Pertanian Vol. 13 No. 4 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.4.513-528

Abstract

Portable near-infrared (NIR) spectrometers may examine samples directly on-site, speeding up data gathering. However, the NIR spectrometer has a limited wavelength, ranging from 740 to 1,070 nm, whereas previous studies used a longer wavelength. The research aims to determine the fermentation index, pH, and moisture content of fermented dry cocoa beans using a portable Near-Infrared (NIR) spectrometer. The NIR spectra were preprocessed using several methods, including the Savitzky-Golay first and second derivatives (SG1 and SG2), Linear Baseline Correction (LBC), Multiplicative Scatter Correction (MSC), comparative Partial Least Square Regression (PLSR) modeling, and Artificial Neural Network (ANN). To simulate different fermentation levels, unfermented cacao beans underwent pretreatment fermentation for durations of 0, 24, 48, and 72 hours. The prediction outcomes of ANN models, when applied to dried fermented cocoa beans with data preprocessing, offered better results in comparison to PLSR models, with strong correlation, lowest RMSEC, and highest residual predictive value. The most effective method for predicting fermentation index was ANN combined with LBC preprocessing, while optimal pH models were applied using the SG2 method. The effective moisture content models were developed using MSC preprocessing. The analytical approach of portable NIR spectroscopy produced rapid and accurate results to determine the quality of ground-dried cacao bean fermentation.
Design and Fabrication of a Microcontroller-Based Automatic LED Grow Light Array System for Leafy Vegetables in Indoor Vertical Hydroponic Nanda, Muhammad Achirul; Saukat, Muhammad; Amaru, Kharistya; Dwiratna, Sophia; Cahyono, Muchamad Ricky Wibo
Jurnal Keteknikan Pertanian Vol. 13 No. 4 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.559-575

Abstract

Indoor vertical hydroponic systems require precise and energy-efficient lighting to support optimal growth of leafy vegetables. This study presents the design and fabrication of a microcontroller-based automatic LED grow light system tailored for indoor hydroponics. A tailored LED grow light is necessary because each crop responds uniquely to light quality and intensity, and a customized spectrum ensures optimal growth while minimizing energy use. The system integrates a red–green–blue LED configuration (70:10:20%) with an ESP32 microcontroller, real-time clock (RTC), BH1750 light sensor, keypad interface, and LCD. The lighting cycle was programmed for 12 hours per day and tested continuously over two days. The system demonstrated accurate scheduling, with LED activation at 06:00 and deactivation at 18:00 and a timing deviation of only 1–2 seconds. During operation, the system maintained a stable photosynthetic photon flux density (PPFD) of 260–275 µmol/m²/s, producing an estimated daily light integral (DLI) of about 12 mol/m²/day, which is suitable for leafy vegetable production. Light distribution analysis using cubic interpolation showed that increasing the lamp height from 20 cm to 30 cm improved spatial uniformity, with the most uniform distribution achieved at 30 cm despite a slight reduction in intensity. The system consumed 2.65 kWh per day, covering four LED arrays and the control module. Overall, the proposed system offers a reliable, programmable, and energy-efficient lighting solution for indoor hydroponic environments, supporting sustainable crop production through precise scheduling and an optimized spectral configuration.

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