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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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Shelf-Life Estimation of Dried Sago Noodles Using the Accelerated Shelf-Life Testing (ASLT) Method Jamaludin, Jamaludin; Asari, Muhamad Azis; Sutisna, Setya Permana; Yusuf, Mega Ayu
Jurnal Keteknikan Pertanian Vol. 13 No. 3 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.375-386

Abstract

Indonesia holds significant potential for sago (Metroxylon sp.) development, especially in the eastern regions. Sago starch offers an alternative to wheat flour in noodle production, promoting local food diversification. This study aims to estimate the shelf-life of dried sago noodles using the Accelerated Shelf-Life Testing (ASLT) method based on selected quality parameters. Dried sago noodles were produced from sago starch sourced from Merauke, South Papua, and stored at 35°C, 45°C, and 55°C. Quality attributes—moisture content, aroma, and taste—were analyzed during storage to model degradation kinetics and determine activation energy (Ea) using the Arrhenius approach. Among the tested parameters, aroma exhibited the lowest activation energy (636.04 cal/mol), indicating it as the critical parameter for predicting shelf-life. Based on the regression of ln k versus 1/T, the shelf-life at 27°C (room temperature) was estimated at 49 days. The study concludes that aroma degradation is the key factor in determining the shelf-life of dried sago noodles, and that accurate sensory evaluation using trained panelists is crucial for improving the reliability of shelf-life prediction.
Optimizing Coffee Flavor Through Roasting and Manual Brewing Using Chemical and Sensory Approach: English Sukmawati, Elya; Pertiwi, Setyo; Hasbullah, Rokhani
Jurnal Keteknikan Pertanian Vol. 13 No. 3 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.402-417

Abstract

The global popularity of coffee has led to growing attention on how processing and brewing techniques influence its sensory attributes. This study analyzed the chemical content of coffee and assessed the combination of roasting and manual brewing methods on coffee flavor. The coffee types used were Arabica coffee and Robusta coffee. The roasts used were light, medium, and dark roast with AeroPress, Siphon, and V60 manual brewing methods. The experiment was arranged in a factorial arrangement within a Randomized Complete Block Design (RCBD), where coffee varieties served as blocks, and the treatment combinations of roasting and brewing methods were randomly assigned within each block. Data analysis includes two-way analysis of variance, biplot analysis, and the compromise programming method. The results showed that the selection of roast level and brewing method had a significant influence on the coffee's chemical analysis and sensory profile. Light roasting and complex flavors were more acceptable than dark roasting, which tends to be heavy. Based on the panelists' preference analysis using the compromise programming method, RLS (Robusta-Light roast-Siphon) emerged as the optimal choice, indicating that this combination balances all coffee taste criteria. The combinations ALV (Arabica-Light roast-V60), ALA (Arabica-Light roast-Aeropress), and AMA (Arabica-Medium roast-Aeropress) which tends to similar and provide a balanced, complex flavor profile, including aroma, acidity, and high overall quality. Arabica coffee combination ADS (Arabica-Dark roast-Siphon), ADA (Arabica-Dark roast-Aeropress), and ADV (Arabica-Dark roast-V60) which have less optimal visual and balance because dark roasting reduces the sensory criteria of coffee.
FONi's Performances in the Hydroponic Cultivation of Various Vegetables Erfiana, Eka; Indra Setiawan, Budi; Krido Saptomo, Satyanto
Jurnal Keteknikan Pertanian Vol. 13 No. 3 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.432-448

Abstract

Land conversion, a phenomenon being encountered today, has led to a decline in the availability of agricultural land. On the other hand, population growth requires more food, which means more farmland is needed. Hydroponics is a method to grow crops intensively in any form of space without using soil, but only nutritious water as the growing medium. Hydroponics can produce high-quality crops and is easy to implement, making it popular in urban areas. However, it requires a continuous flow of water using electric pumps, which ultimately increases investment and operating costs. In this study, FONi (An Unpowered Automatic Fertigator) was tested to maintain water levels and flow rates as required by the plants. FONi is designed to replace the water lost by plant evapotranspiration, utilizing an automatic water valve. Here, FONi demonstrated good performance in growing three types of vegetables, namely water spinach (kangkung), choy sum (caisim), and spinach (bayam). The water productivity of each was 47.51 kg/m³, 43.80 kg/m³, and 21.25 kg/m³, respectively, and the land productivity was 1.35 kg/m², 0.97 kg/m², and 0.57 kg/m², respectively. The overall water efficiency was above 80%. By applying FONi, hydroponic cultivation activities at the research site, which had been suspended, can resume without incurring electricity costs.
Impact of Postharvest Processing on the Metabolite Profile of Arabica Green Coffee Beans Zainal, Putri Wulandari; Cherie, Dinah
Jurnal Keteknikan Pertanian Vol. 13 No. 3 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.387-401

Abstract

Teknik pascapanen sangat memengaruhi komposisi dan kualitas biji kopi hijau melalui perubahan metabolit primer dan sekunder. Penelitian ini bertujuan untuk mengkaji dampak tiga teknik pengolahan pascapanen seperti Natural, Fully Washed, dan Honey pada senyawa fenolik, aktivitas antioksidan, kafein, protein, dan warna dalam biji kopi hijau Arabika dari Solok Selatan, Indonesia. Analisis spektrofotometri dan kolorimetri dilakukan. Data dianalisis menggunakan AnoVA dan metode multivariat PCA dan pengelompokan menggunakan heatmap. Hasil penelitian menunjukkan bahwa proses Honey memiliki kandungan polifenol tertinggi sebesar 3918,61 ± 349,85 mg GAE/g, sedangkan biji Fully Washed memiliki aktivitas antioksidan tertinggi (1,41 ± 0,21%) dan kandungan kafein (1,41 ± 0,21%). Metode Natural menghasilkan kandungan protein tertinggi (24,26 ± 0,40%). Berdasarkan perbedaan warna menunjukkan perbedaan warna yang signifikan dimana di hubungkan pada perbedaan biokimia di antara metode pascapanen green bean. Penelitian ini menekankan dampak besar pemrosesan pascapanen dalam menentukan profil metabolit dan karakteristik kualitas biji kopi hijau. Temuan ini dapat membantu dalam merumuskan langkah-langkah pemrosesan yang akan digunakan dalam pemurnian kopi dan memaksimalkan manfaatnya bagi kesehatan.
Analisis Korelasi Antara Debit Aliran dan Sedimen Melayang (Suspended Load) DAS Ciliwung di Wilayah Jakarta Rizkah Afifah, Nabilah; Liyantono; Saptomo, Satya Krido
Jurnal Keteknikan Pertanian Vol. 13 No. 3 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.418-431

Abstract

DAS Ciliwung berasal dari kaki Gunung Pangrango di Jawa Barat, dengan wilayah hilirnya berada di Jakarta dan mencakup sekitar 6.295 hektare. Sungai ini mengalir melalui kawasan padat penduduk dan terpapar pencemaran domestik maupun industri. Sedimentasi berlebihan telah mengurangi kapasitas aliran, merusak infrastruktur, dan meningkatkan risiko banjir. Penelitian ini menganalisis korelasi antara debit aliran dan total padatan tersuspensi (TSS) di segmen hilir DAS. Sampel air diambil dari tiga titik pengamatan, menghasilkan 11 kali pengamatan dan 33 sampel pada Januari 2025. Debit aliran diukur menggunakan kurva debit, sedangkan TSS dianalisis di laboratorium. Nilai TSS berkisar antara 8,5 hingga 284,5 mg/L, sementara debit aliran bervariasi antara 2,55 hingga 45,47 m³/s. Analisis korelasi menghasilkan koefisien determinasi sebesar 0,9721 pada titik hulu, 0,9151 pada titik tengah, dan 0,0006 pada titik hilir. Korelasi positif yang kuat ditemukan pada segmen hulu dan tengah, sedangkan segmen hilir menunjukkan tidak adanya korelasi signifikan, kemungkinan akibat pengaruh hidrologis dan pasang surut. Hasil ini memberikan kontribusi pada pemahaman yang lebih mendalam tentang dinamika transportasi sedimen dan dapat menjadi dasar untuk perencanaan pengelolaan sedimen serta strategi pengerukan berkelanjutan pada sistem sungai perkotaan.
Price Forecasting of Shallots Using the Machine Learning Approach of Random Forest Regression Supporting Price Stabilization ., .; Ibrahim, Muhammad Naufal Rauf
Jurnal Keteknikan Pertanian Vol. 13 No. 3 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.449-461

Abstract

Shallots (Allium cepa L.) are a major horticultural commodity in Indonesia, with a production of 1.98 million tons in 2022, representing 13.59% of the total national vegetable production. Accurate forecasting of agricultural commodity prices is fundamental to sustainable development in the agricultural sector and contributes to broader economic stability. This study uses the random forest regression algorithm, a supervised machine learning technique that utilizes ensemble learning to combine multiple decision trees. This approach offers advantages in modeling non-linear relationships for agricultural price prediction while also reducing the risk of overfitting, resulting in more accurate and stable forecasts compared to individual decision trees. The purpose of this research is to develop and optimize a shallot price forecasting model using random forest regression. The optimized model, using 50 decision tree estimators, successfully predicted up to 15 months ahead of monthly prices and achieved an RMSE of 2363.15 and a MAPE of 8.71% in validation, then a MAPE of 10.31% in test evaluation.
Dynamic Thermofluid Study of Petrodiesel Droplet Combustion with Variations of Kesambi Biodiesel Composition Accompanied with TiO₂ Catalyst Hari Tunggal Prasetiyo, Dani; Ilminnafik, Nasrul; Meganandi Kartini, Audiananti; Aditya Rahardi, Gamma; Muhammad, Alief
Jurnal Keteknikan Pertanian Vol. 13 No. 3 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.462-480

Abstract

Meningkatnya permintaan energi global mendorong pengembangan bahan bakar alternatif berkelanjutan dengan karakteristik pembakaran yang kompetitif terhadap petrodiesel. Penelitian ini mengkaji fenomena termofluida dinamis pembakaran droplet campuran petrodiesel dan biodiesel minyak kesambi, baik tanpa maupun dengan penambahan katalis nanopartikel TiO₂ 100 ppm. Komposisi sampel bahan bakar yang digunakan terdiri dari B0, B10, B20, B30, B40, dan B100, serta masing-masing komposisi dengan penambahan TiO₂. Parameter yang dianalisis meliputi penundaan penyalaan, durasi pembakaran, tinggi nyala api, suhu optimal, dan visualisasi nyala api. Hasil penelitian menunjukkan bahwa peningkatan fraksi biodiesel menghasilkan durasi pembakaran yang lebih lama hingga 6,83 detik pada B100 dan penurunan suhu puncak sebesar 734,76°C, dibandingkan dengan B0 yang memiliki durasi pembakaran selama 3,22 detik dan suhu puncak sebesar 794,54°C. Penambahan TiO₂ secara konsisten meningkatkan kinerja pembakaran, ditunjukkan oleh suhu puncak yang lebih tinggi hingga 821,76°C pada B0+TiO₂, penundaan pengapian yang lebih singkat, dan nyala api yang lebih stabil. Tinggi nyala api tertinggi teramati pada B0+TiO2 sebesar 53,79 mm dan terendah pada B100 sebesar 40,87 mm. Selain itu, penundaan pengapian tertinggi terjadi pada komposisi B100 sebesar 7,95 detik, sementara terendah terjadi pada komposisi B0+TiO2 sebesar 1,65 detik. Hal ini menunjukkan adanya hubungan antara komposisi bahan bakar dan intensitas pembakaran.
The Effectiveness of Cocoa Pod Husk Activated Carbon as an Ethylene Adsorbent for Extending the Shelf Life of Cavendish Bananas Elena, Nadia; Darmawati, Emmy; Setyadjit
Jurnal Keteknikan Pertanian Vol. 13 No. 3 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.481-498

Abstract

One of the abundant agricultural wastes in Indonesia that has not been optimally utilized is cocoa pod husk (Theobroma cacao L.). Cocoa pod husk is the main by-product of the cocoa bean processing. Cocoa pod husk has a high cellulose content, making it a suitable precursor for activated carbon production. Activated carbon can adsorb ethylene from climacteric fruits, extending fruit shelf life. This research aims to test the effectiveness of activated carbon derived from cocoa pod husk as an ethylene adsorbent to extend the shelf life of fruits, specifically Cavendish bananas. The research procedure consists of preliminary research and primary research. The initial research involved measuring ethylene production, synthesizing activated carbon from cocoa pod husk, testing the characteristics of the cocoa pod husk activated carbon, calculating the activated carbon's capacity for ethylene adsorption, and determining the optimal amount of cocoa pod husk activated carbon. The primary research involved testing Cavendish bananas' storage and display life by applying an ethylene adsorber bag (EAB) using perforated LDPE packaging until spoilage. The Cavendish banana samples originated from Klaten, Central Java, with a maturity level of 1. The test parameters included moisture content, weight loss, firmness, color, total soluble solids (TSS), and Total Titratable Acidity (TTA). The treatments in this study consisted of samples treated with EAB from cocoa pod husk and a control group without EAB. All treatments were performed in triplicate. The experimental design used was a Completely Randomized Design (CRD). The results showed that a well-defined porous structure, a rough surface, and numerous cavities characterize the cocoa pod husk activated carbon. It has an ethylene absorption capacity of 363 ppm/g. The ethylene production rate of Cavendish bananas observed during storage was 1,280 ± 227.5 ppm. The results showed that bananas treated with cocoa pod husk-activated carbon were still green on the 10th day compared to the control treatment, which had already spoiled. During the display period, Cavendish bananas could last up to 5 days before spoilage. Therefore, cocoa pod husk-activated carbon can delay ripening and spoilage, thus extending the shelf life of Cavendish bananas.
Kaji Terap Fertigator Otomatis Nirdaya (FONi) pada Budidaya Aneka Terong (Solanum melongena) Fitry Hedianty, Riska; Indra Setiawan, Budi; Arif, Chusnul
Jurnal Keteknikan Pertanian Vol. 13 No. 3 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.499-512

Abstract

Water scarcity, intensified by climate change and pollution, necessitates innovative irrigation approaches to sustain agricultural productivity. The Automatic Unpowered Fertigator (FONi) represents a solution that integrates automation without electricity, using evapotranspiration-driven subsurface irrigation to deliver water and nutrients directly based on plant demand. Unlike conventional systems, FONi operates entirely without external energy input, offering a low-cost and sustainable alternative for smallholder farmers. Previous applications in various crops have demonstrated significant water savings and increased productivity, indicating its strong potential as a scalable technology for resource-limited agriculture.This study evaluated the performance of FONi in cultivating four eggplant varieties under greenhouse conditions in Bekasi City, an area facing increasing competition for water resources. Over a 118-day growing period, plant growth, water use, crop coefficients (Kc), and productivity were monitored. Results showed Kc values ranging from 0.1 to 1.8, reflecting dynamic water demand throughout plant development. The long purple variety attained the greatest height (99.8 cm), while pondoh and white varieties achieved higher water productivity (up to 4.0 g/L) and land productivity approaching 1,120 g/m². Total irrigation water use was 1,329.3 liters, with an overall application efficiency of 98.9%. These findings demonstrate that integrating FONi with appropriate crop selection provides an efficient and sustainable strategy to optimize water use and enhance yield, supporting precision agriculture and climate-resilient food systems in drought-prone regions.
The Effect of Light Exposure Duration on the Oxidative Stability and Sensory Profile of Avocado (Persea americana)-Based Mayonnaise Dahlan, Sakinah Ahyani; Radjak, Maryam; Isra, Muhamad
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.013.4.546-558

Abstract

Avocado-based mayonnaise presents a novel formulation aimed at reducing the saturated fat content typically associated with conventional emulsified condiments. This investigation sought to delineate the impact of light exposure duration on the oxidative integrity and sensory parameters of mayonnaise derived from Persea americana. Employing a completely randomized design (CRD) comprising a single experimental factor—duration of light exposure (0, 24, 48, and 72 hours) each treatment was replicated thrice to ensure experimental reliability and statistical robustness. Analytical endpoints included moisture content, pH, peroxide value, free fatty acid (FFA) concentration, and sensory attributes (color and aroma). Statistical analyses involved ANOVA followed by Duncan’s Multiple Range Test at a 5% significance threshold. The results revealed that prolonged exposure led to a statistically significant decline in sensory acceptance (color score: 6.07 to 3.47; aroma score: 6.20 to 3.67) and elevated oxidative markers including moisture content, peroxide value, and FFA. Among the tested conditions, treatments L1 and L2 preserved compositional and sensory quality within permissible SNI standards for FFA (<3%). The study underscores the necessity of light-protective packaging in mitigating oxidative degradation in avocado-based emulsions and emphasizes the relevance of optimizing environmental exposure parameters during storage and distribution of lipid-rich food emulsions.

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