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Jurnal Keteknikan Pertanian Tropis dan Biosistem
Published by Universitas Brawijaya
ISSN : -     EISSN : 2656243X     DOI : https://doi.org/10.21776/ub.jkptb
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Control & Systems Engineering Electrical & Electronics Engineering Energy Mechanical Engineering
Jurnal Keteknikan Pertanian Tropis dan Biosistem (JKPTB) (ISSN: 2656-243X) has published the state-of-art articles which focus on both fundamental studies and applied engineering including Power and Agricultural Machinery, Mechatronics and Agro-industrial Machinery, Food and Post-Harvest Technology and Soil and Water Engineering. By providing an update issue and current topic in agricultural technology field, JKPTB becomes the reference for many scientist and stakeholders who work on Agricultural Engineering
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 423 Documents
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Analisis Penggunaan Lahan Pada Tingkat Rawan Bencana Erosi Berbasis di Taman Nasional Gunung Rinjani Nusa Tenggara Barat Umar, Yasa Palaguna; Lestari, Tri Fitria Indah; Anugroho, Fajri
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 12 No. 3 (2024): December 2024
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Berdasarkan studi literatur yang dilakukan, tanah yang berada di kawasan Taman Nasional Gunung Rinjani (TNGR) memiliki bahan induk penyusun berupa pasir volkan dan abu. Hal tersebut menyebabkan potensi terjadinya erosi di kawasan TNGR akan meningkat, terutama pada saat musim hujan berlangsung. Hal ini dikarenakan energi kinetik dari air hujan akan memecah agregat tanah dan menyebabkan terjadinya erosi dengan faktor pendukung berupa kemiringan dan vegetasi. Oleh karena itu penelitian kali ini bertujuan untuk menghitung prediksi laju erosi di kawasan TNGR pada tahun 2024 berbasis metode spasial berdasarkan data 10 tahun terakhir dan memberikan rekomendasi konservasi pada jenis potensi erosi. Metode perhitungan yang digunakan adalah Universal Soil Lost Equation (USLE) dengan menggunakan pendekatan spasial berupa overlay data dari setiap faktor yang digunakan meliputi erosivitas hujan (R), erodibilitas tanah (K), panjang dan kemiringan lereng (LS) serta faktor vegetasi dan pengelolaan lahan (CP). Adapun potensi erosi tersebut diklasifikasikan menjadi beberapa kelas yaitu kelas sangat ringan dengan rentang 0-15 ton/ha/tahun yang mencakup 52% dari area TNGR, kelas ringan dengan rentang 15-60 ton/ha/tahun yang mencakup 13%, kelas sedang dengan rentang 60-180 ton/ha/tahun yang mencakup 18% dari area TNGR, kelas berat dengan rentang 180-480 ton/ha/tahun yang mencakup 12% dari area TNGR dan kelas sangat berat dengan rentang >480 ton/ha/tahun yang mencakup 5% dari area TNGR. Dari hasil pemetaan potensi erosi diberikan beberapa rekomendasi upaya konservasi untuk mengendalikan dan meminimalisir laju erosi di TNGR dengan menggunakan metode kombinasi (mekanik-vegetatif) berupa matras kawat dan tanaman Heteropogon contortus serta dengan menggunakan metode vegetatif.
Machine Learning-based Disease Classification in Tomato (Solanum lycopersicum) Plants Rahman, Md Towfiqur; Dipto, Sudipto Dhar; June, Israt Jahan; Momin, Abdul; Al Mamun, Muhammad Rashed
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 12 No. 3 (2024): December 2024
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2024.012.03.01

Abstract

In Bangladesh, tomato cultivation faces significant challenges due to its susceptibility to various microorganisms, parasites, and bacterial infections. Typically, the early symptoms of these diseases first appear in roots and leaves, complicating timely detection. This study addresses the challenge of timely and accurate detection of diseases in tomato plants, crucial for effective plant protection management. Conventional manual inspection methods are time-consuming and subjective, resulting in delays in implementing necessary protection measures. Therefore, an image processing technique and machine learning algorithms were used for rapid and robust detection of diseases in tomato plant leaves, aiming to streamline the detection process for chemical application responses. A dataset containing 250 images of tomato plant leaves were captured under varying light intensities, eye-level angles, and distances. Image augmentation techniques were applied to increase the dataset, resulting in a total of 529 images. These images were converted to LAB color images and then OTSU algorithm was used to segment leaf images and estimate the percentage of affected diseased areas. Various textural features were also extracted from segmented leaf images to create a training dataset. Machine learning algorithms, including Support Vector Machines (SVM), K-Nearest Neighbors (KNN), and decision trees, were trained and evaluated using this dataset to classify images as healthy or diseased. The Quadratic SVM algorithm provided the highest test accuracy of 97.7% for the dataset. This nondestructive processing holds immense promise for improving disease detection efficiency and reducing losses in tomato production, both locally in Bangladesh and globally.
Analisis Kesesuaian Lahan Tanaman Porang (Amarphopallus ancophillus) Menggunakan Sistem Informasi Geografis di Kecamatan Songgon Kabupaten Banyuwangi Holik, Abdul; Saputra, Nur Rachman Dimas; Istanti, Ari
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 12 No. 3 (2024): December 2024
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Tanaman porang (Amorphophallus oncophyllus) merupakan komoditas unggulan dengan nilai ekonomi tinggi dan potensi ekspor besar. Kecamatan Songgon, Kabupaten Banyuwangi, telah mengembangkan budidaya porang di lahan seluas 108 hektar, namun analisis kesesuaian lahan berbasis data spasial belum pernah dilakukan. Penelitian ini menjadi penting untuk mendukung optimalisasi budidaya porang di wilayah dengan karakteristik topografi dan tanah yang beragam. Penelitian dilakukan menggunakan Sistem Informasi Geografis (SIG) dengan mempertimbangkan parameter suhu, drainase, tekstur tanah, pH, kapasitas tukar kation (KTK), dan kemiringan lereng. Hasil analisis menunjukkan bahwa 8% lahan tergolong sangat sesuai (S1), 31% cukup sesuai (S2), 31% sesuai marginal (S3), dan 30% tidak sesuai (N). Faktor pembatas utama meliputi curah hujan yang tidak optimal, kedalaman tanah yang dangkal, dan kemiringan lereng yang curam. Rekomendasi perbaikan lahan meliputi penerapan sistem irigasi untuk meningkatkan ketersediaan air di lahan S2, pengolahan tanah mendalam untuk meningkatkan kedalaman efektif pada lahan S2 dan S3, serta penerapan terasering untuk mengurangi erosi di lahan dengan lereng curam (kategori N). Pendekatan ini diharapkan dapat meningkatkan produktivitas lahan untuk mendukung pengembangan budidaya porang secara berkelanjutan.
Study of The Formulation Jicama Flour (Pachyrhizus erosus) and Wheat Flour in Manufacturing Brownies Chips Herdiana, Novita; AS, Suharyono; Rizal, Samsul; Salsabila, Az Zahra Fithri
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 12 No. 3 (2024): December 2024
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2024.012.03.05

Abstract

Brownies chips are a snack made from brownies dough that is molded into thin squares and baked dry to produce chips that are easy to consume and last a long time. The aim of this research is to determine the formulation of jicama flour (Pachyrhizus erosus) and wheat flour which produces brownies chips with the best sensory properties. This research was structured in a Complete Randomized Block Design (RAKL) with six treatments and four replications. The formulation treatment of jicama flour and wheat flour consisted of 6 levels, namely T0 (0% : 100%), T1 (10% : 90%), T2 (20% : 80%), T3 (30% : 70%), T4 (40% : 60%), T5 (50% : 50%). Data were analyzed using the Bartlett test and Tuckey test, followed by analysis of variance (ANARA), and the Least Significant Difference (BNT) test at the 5% level. Based on the research results, brownies chips with a formulation of jicama flour and wheat flour that produces the best sensory results is the T4 treatment which has a sweet and distinctive chocolate taste,blackish brown color, crunchy and dense texture, and aromatic. typical brownies chips. The results of the chemical analysis of the brownies chips were water content 3.76%, ash content 2.34%, protein content 13.87%, fat content 25.61%, carbohydrate content 54.42%, crude fiber content 6.01%. and calorific value are 503,65 kcal per 100 grams
The Effectiveness of Varying Doses of Biosaka Elicitor on The Growth and Yield Broccoli Plants (Brassica oleracea var. italica) Lutfi Chomariyati Aprilia, Lutfi Chomariyati Aprilia; Wahidah, Fita Fitriatul
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 12 No. 3 (2024): December 2024
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Broccoli (Brassica oleracea var. italica) is an annual herbaceous plant from the Brassicaceae family originating from Italy. This plant provides valuable bioactive compounds and micronutrients to the human body. This research aimed to evaluate the effectiveness of the biosaka elicitor dose and the most effective biosaka elicitor dose on the growth and yield of broccoli plants. The experiment was conducted using a completely randomized design (CRD) with 5 replications and 5 treatments, namely P 0: negative control without fertilizer, SB 1: Cow dung fertilizer 200 g/polybag + Biosaka elicitor 5 mL/L, SB 2: Cow dung fertilizer 200 g/ polybag + Biosaka elicitor 10 mL/L, SB 3: Cow dung fertilizer 200 g/polybag + Biosaka elicitor 15 mL/L, and P 1: Positive control NPK fertilizer 2 g/polybag + Phytohormone Super Gib 30 mg/L. Data were analyzed using one-way ANOVA at the 5% level and DMRT further test. The results of data analysis showed that giving the biosaka elicitor had no significant effect on plant height, number of leaves, stem diameter, time to broccoli flower crop formation, broccoli flower diameter and weight of fresh broccoli flowers. The use of cow dung fertilizer at a dose of 200 g/polybag plus a biosaka elicitor at a dose of 10 mL/L (SB 2) produced results that were not significantly effective on the growth and yield of broccoli plants with an RAE value of 4.8%.
The Effect of Fine Bubbles Application and LED Irradiation on Damage and Chlorophyll Content of Cut Romaine Lettuce Ciptaningtyas, Drupadi; Nur Adhillah, Syahla; Hasta Pratopo, Lukito; Thoriq, Ahmad
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 12 No. 3 (2024): December 2024
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2024.012.03.04

Abstract

The current change in society’s lifestyle reflects a tendency towards a more practical life, including food consumption. Romaine lettuce is one of the minimally processed vegetables sold in ready-to-eat packaging and is a common component in salads. However, minimal processing makes romaine lettuce more susceptible to deterioration and a decrease in chlorophyll content. Efforts was made to reduce damage and decrease chlorophyll content in romaine lettuce through fine bubbles application and blue and white LED irradiation. In this study, cut romaine lettuce was washed using fine bubbles and irradiated with blue and white LEDs with various exposure times. The results showed that fine bubbles increased dissolved oxygen and their application in washing cut romaine lettuce reduced surface damage by 20.55%. Chlorophyll content was tested by extracting the lettuce in ethanol solvent and measuring its absorbance using a UV-Vis spectrophotometer. The chlorophyll content test results showed that, after irradiation and six days of storage, the romaine lettuce did not show an increase in chlorophyll content. This indicates that while fine bubble washing can reduce surface damage, blue and white LED irradiation has not been able to maintain or increase chlorophyll content, as the chlorophyll degraded during the storage period.
Biobriket Biji Jeruk Siam (Citrus reticulata Blanco) Dengan Perekat Phosphogypsum (BICIGU) Sebagai Alternatif Energi Terbarukan Armanda Astreapuspita, Vicanisa; Anggoroeni Dwidjayanti, Dian; Rizki Nadar Putra, Dio; Nur Inayati, Siti
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 12 No. 3 (2024): December 2024
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Biobriket adalah jenis briket yang dihasilkan dari biomassa berupa material organik. Biji jeruk siam (Citrus reticulata Blanco) merupakan limbah tumbuhan yang kaya minyak nabati, serat, karbohidrat, lignin, serta kadar air yang rendah untuk dijadikan bahan baku pembuatan biobriket. Penambahan phosphogypsum sebagai perekat juga diformulasikan untuk mengurangi kadar air dan mencetak biobriket menjadi padat. Penelitian ini bertujuan mengembangkan biobriket dari biji C. reticulata dengan formulasi perekat phosphogypsum sebagai energi alternatif terbarukan, dan menentukan formulasi yang tepat untuk menghasilkan biobriket biji jeruk dengan kualitas terbaik. Metode penelitian adalah deskriptif eksperimental. Tahap penelitian meliputi penyangraian (roasting), pembuatan perekat, pengadonan biobriket, dan pengujian sampel. Formulasi adonan biobriket dengan rasio material arang biji jeruk (g), tapioka (g), gypsum (g), dan air (ml) dibuat menjadi tiga sampel, yaitu: biobriket 1 (2:1:1), biobriket 2 (3:2:1), dan biobriket 3 (3:1:2). Hasil penelitian menunjukkan biobriket dari limbah organik biji C. reticulata dengan perekat phosphogypsum berhasil dikembangkan sebagai energi terbarukan. Formulasi biobriket yang tepat dan berkualitas terbaik memiliki perbandingan 2:1:1, dengan karakteristik: kadar air sebesar 1.20%, abu 11.4%, zat terbang 0.85%, karbon bebas 89.45%, nilai kalor 5.74 kal/gr, dan daya bakar 2.55%.
Estimation of Nitrogen Absorption of Rice Plants Based on Remote Sensing Yanti, Delvi; Nurdiyanto, M. Rizki Dhani; Yanti, Nika Rahma; Syafii, Habibi Ahmad
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 12 No. 3 (2024): December 2024
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

One of the indicators of maintaining the quality of rice plants is monitoring and managing nitrogen requirements. Nitrogen (N) absorption in rice plants can be detected by remote sensing technology using Sentinel 2-A satellite imagery data using the NDRE (Normalized Difference Red Edge) method. This research aims to determine a mathematical model to predict nitrogen absorption in rice plants. This study uses the NDRE (Normalized Difference Red Edge) index value. The image used is Sentinel 2 imagery, namely channels 4 and 8 to see the Normalized Difference Vegetation Index (NDVI) value. Besides, the Normalized Difference Red-Edge Index (NDRE) is channels 5 and 8. The results of spatial and tabular data processing are analyzed per pixel and time trend to obtain patterns during one phase of the planting period. Based on the analysis of the NDVI and NDRE values of rice plants in Nagari Singkarak, the NDVI index pattern is in line with the NDRE index. At the beginning of planting (age ± 1 month) and the ripening period (age > ± 90 days) the NRDE value of rice plants is dominated by the low category NDRE value (red color). While when the rice is ± 60 days old, it is dominated by the high category NDRE value (green color). The estimation model for nitrogen uptake of rice plants in Nagari Singkarak based on NDRE data is y = 141.37 X + 0.0412, with a correlation coefficient (r) value of 0.97, which indicates a high correlation between NDRE values and nitrogen uptake.
Fine-Tuning Temulawak (Curcuma xanthorrhiza Roxb) Extraction: Solvent Selection, Methodological Approaches, and Optimization on Operating Condition Korleone, Jorgi; Mufidah, Elya; Argo, Bambang Dwi; Sidauruk, Jocelyn Latreia Ronauli; Takase, Hayato; Izza, Ni'matul
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 12 No. 3 (2024): December 2024
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2024.012.03.03

Abstract

Temulawak (Curcuma xanthorrhiza Roxb) is rich in bioactive compounds: phenols and flavonoids, working as antioxidants to counteract free radicals in the human body, in which appropriate extraction methods and solvents are required to obtain the total phenol and flavonoid content from this plant. Correlating to this, Response Surface Methodology (RSM) provides an analytical framework based on mathematical models to determine the conditions of optimal temulawak extraction. The study, therefore, aims to identify the best extraction method and solvent for extracting phenolic and flavonoid compounds from temulawak, to subsequently utilize the method in determining the optimal temulawak extraction conditions based on RSM using DesignExpert12 software. The results signify the best combination of extraction method and solvent is demonstrated by microwave-assisted extraction (MAE) using 70% ethanol. Additionally, the software showed that a solvent-to-material ratio of 66mL/g, with extraction power of 450 watts, and extraction time of 1 minute are required to perform the extraction under optimal conditions, resulting a total phenolic content (TPC) of 12.93±1.43 mg GAE/g dw and a total flavonoid content (TFC) of 21.79±0.98 mg QE/g dw through the verification process.
Assessment of Energy Use and Carbon Dioxide Emissions in Tillage Systems for Cowpea Production in Derived Savanna Zone Kosemani, Babajide; Bamgboye, Isaac; Babalola, Ayoola
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 13 No. 1 (2025): April 2025
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2025.013.01.02

Abstract

Erratic global climate conditions endanger agricultural production's viability. Tailoring tillage practices to specific agro-ecological conditions is crucial for reducing energy use and carbon emissions. The objectives of this research were to investigate the energy consumption and carbon emissions of various tillage methods for cowpea production in the Savanah environment, as well as the impact of the tillage methods on cowpea bean yield. A field experiment was carried out using cowpea (Ife brown), and four tillage treatments were tested: minimum without stubble (M), minimum with stubble (Ms), conventional without stubble (Cw), and conventional with stubble (Cs). The experiment was designed as a randomised complete block with three replications. Fuel consumed by the different tillage systems were measured directly and converted to energy and emission using standard procedure. Significant (P < 0.05) differences were found between tillage methods in terms of specific fuel use, energy consumption, CO2 emissions, and bean production. The specific fuel consumption for M, Ms, CW and Cs were 39.38, 40.89, 42.01 and 98.70 L/ton, respectively. The specific energy consumptions were 2.61, 2.96, 4.17and 5.52GJ/ton, respectively. The specific CO2 emissions were 161.28, 182.45, 259.17 and 338.59 KgCO2/ton, respectively. In terms of energy usage, and CO2 emissions the minimum tillage method without stubble was the most efficient.

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