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Analisis Ventilasi Alamiah Pada Greenhouse Tipe Standard Peak Menggunakan Computational Fluid Dynamics: Natural Ventilation Analysis of Standard Peak Greenhouse using ComputationalFluid Dynamics Yayu Romdhonah; Herry Suhardiyanto; Erizal Erizal; Satyanto Krido Saptomo
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 3 No 2 (2015): Jurnal Ilmiah Rekayasa Pertanian dan Biosistem
Publisher : Fakultas Teknologi Pangan & Agroindustri (Fatepa) Universitas Mataram dan Perhimpunan Teknik Pertanian (PERTETA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (542.511 KB)

Abstract

Standard peak greenhouse is an adapted design for the humid tropical regions. Analysis of the greenhouse natural ventilation had been conducted using 3D Computational Fluid Dynamics (CFD). The objective of this research was to investigate the greenhouse natural ventilation performance on zero and low windspeed conditions. Solidworks® CFD software was used in this study. Climate data and greenhouse characteristics were used as inputs for the simulation. The results of CFD simulation were presented in 3D of airflow vectors in x, y, and z directions. Results of this study showed the importance of roof vents and sidewalls openings for efficient thermally driven ventilation.
The Effect of Different Hydroponic Types and Nutrient Concentrations on the Chemical Composition and Antioxidant Capacity of Purwoceng (Pimpinella pruatjan) Extract Irmanida Batubara; Shadila Fira Asoka; Eni Sumarni; Herry Suhardiyanto; Mohamad Solahudin; Slamet Widodo; Supriyanto; Eti Rohaeti; Yudiwanti; Folkes Laumal; Erniati
HAYATI Journal of Biosciences Vol. 30 No. 5 (2023): September 2023
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.30.5.985-994

Abstract

Purwoceng (Pimpinella pruatjan) is an Indonesian native plant but difficult to cultivate. Hydroponics can be used as a solution for purwoceng cultivation. Hydroponic types and nutrient concentrations can affect purwoceng’s productivity. This study aimed to determine total phenolic content (TPC) and total flavonoid content (TFC), changes in steroid, and antioxidant capacity due to two hydroponic types (nonrecirculating and recirculating drip) and three nutrient concentrations (1,000, 1,500, and 2,000 ppm). Purwoceng was determined for its moisture content, ash content, and dry weight, and extracted with ethyl acetate for gas chromatography-mass spectrometry analysis and with ethanol for TPC, TFC, and antioxidant capacity. The data were analyzed statistically and grouped using principal component analysis (PCA) and heat map analysis (HMA). Nonrecirculating drip with high nutrient concentration at the aerial part was the best treatment to produce high TPC, TFC, and antioxidant capacity. There were no significant changes in steroid content. PCA showed that purwoceng extracts could be grouped in to two groups, i.e. aerial and root groups. HMA showed that purwoceng extracts could be distinguished from the abundance of palmitic acid and stigmasterol. The antioxidant capacity of purwoceng was directly proportional to the TPC value and also related to the presence of phytol, stigmasterol, and palmitic acid.
Artificial Neural Networks to Predict Melon (cucumis melo L.) Production in Tropical Greenhouse, Indonesia Erniati Erniati; Herry Suhardiyanto; Rokhani Hasbullah; Supriyanto Supriyanto
Jurnal Keteknikan Pertanian Vol. 11 No. 2 (2023): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.011.2.193-204

Abstract

Quality of melon indicated by size (fruit weight), appearance, and sweetness. In Indonesia, weight of high quality melon was 800 to 1,200 grams each. Mainly, the melon was cultivated in open fields during the dry season with several limitations of cultivation. To cope with those problems, melon was cultivated inside the greenhouse. However, there are several parameters influenced to melon quality inside the tropical greenhouse with hydroponic system. There were a few studies on the prediction model development of melon inside the greenhouse in a tropical area, Indonesia. The aim of this study was to develop an artificial neural networks (ANNs) model to predict the melon production inside the greenhouse (fruit weight) using several parameters such as the number of days to fruit formation, number of days to maturity, plant length, fruit width, fruit length, fruit cavity diameter, flesh diameter, branch number, fruit branch number, and leaf number. The result of this study was the ANN model with configurations of 10 input layers, 6 hidden layers, and 1 output layer with R2 was 0.93. This study concluded that there is a correlation between the input parameters with the weight of the melon.
Photosynthetic Rate Prediction Model of Golden Melon Plant (Cucumis melo L.) at Vegetative Phase in Greenhouse using Artificial Neural Networks Erniati; Herry Suhardiyanto; Rokhani Hasbullah; Supriyanto
HAYATI Journal of Biosciences Vol. 31 No. 1 (2024): January 2024
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.31.1.30-38

Abstract

The most critical parameter affecting plant growth is the photosynthetic rate. The parameter can be determined by measuring the rate of CO2 assimilation that occurs in plants. Developing a photosynthetic rate model can recommend proper cultivation maintenance in melon plants. Hence, the involvement of input parameters in the developed model affects the accuracy of the prediction. This study aims to develop an artificial neural networks (ANNs) prediction model of the photosynthetic rate of melon plants in the vegetative phase in the greenhouse based on seven environmental and growth parameters and find the best model structure. Model development uses artificial neural networks with several stages: data collection and pre-processing, model development with different input variations, model validation, and selection of the best scenario to predict photosynthetic rate. The results showed that five out of seven input parameters, i.e., air temperature, sunlight intensity, CO2 concentration, air humidity, and plant rows, in the model structure of five inputs, six hidden and one output were the best model scenarios with coefficient of determination (R2) and root mean square error (RMSE) of 0.986 and 0.420, respectively.
Secondary Metabolites and Antioxidant Activity of Purwoceng (Pimpinella Pruatjan) Root Extracts from Various Hydroponic Planting Techniques Irmanida Batubara; Shadila Fira Asoka; Eni Sumarni; Herry Suhardiyanto; Mohamad Solahudin; Slamet Widodo; Supriyanto Supriyanto; Eti Rohaeti; Yudiwanti Wahyu; Folkes Laumal; Erniati Erniati
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 12, No 3 (2023): September 2023
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v12i3.641-652

Abstract

Purwoceng (Pimpinella pruatjan) is Indonesia’s native herbs that grow in the highlands but its existence is hard to find. The reason is that purwoceng is difficult to cultivate. A controlled factor in cultivation, such as hydroponic types and nutrient concentration, can be used as a solution to this problem. Hydroponic types and nutrient concentration treatments can affect the secondary metabolites and antioxidant activity of the purwoceng root extract produced. This study aimed to determine total phenolic and flavonoid content, as well as antioxidant activity in three different hydroponic systems (nonrecirculating drip, recirculating drip, and nutrient film technique (NFT)) and two nutrient concentrations (1.5‰ and 2.0‰). The combination of recirculating drip with low nutrient concentration was the best treatment to produce an extract with high phenolic and flavonoid content. Purwoceng root extracts from nonrecirculating with high nutrient concentrations produced high antioxidant activity. The characteristics of extracts from recirculating with low nutrient concentrations were similar to those from the nonrecirculating drip. In contrast, extracts from recirculating with high nutrient concentrations were closer to extracts from NFT, proven by principal component and heat map analysis. Antioxidant activity related to total phenolic content, also the presence of betaine and bergapten in purwoceng root extracts. Keywords: Flavonoid content, NFT, Nonrecirculating drip, Phenolic content, Recirculating drip
Artificial Neural Networks Model for Photosynthetic Rate Prediction of Leaf Vegetable Crops under Normal and Nutrient-Stressed in Greenhouse Suharto, Yohanes Bayu; Suhardiyanto, Herry; Susila, Anas Dinurroman; Supriyanto
HAYATI Journal of Biosciences Vol. 32 No. 2 (2025): March 2025
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.32.2.300-309

Abstract

Photosynthesis is one of the essential processes in plant physiology that produces glucose and oxygen to support plant growth. Nutrient stress conditions will affect the photosynthetic rate in plants. The model predicting photosynthetic rates based on environmental conditions, nutrients, and plant types will be highly beneficial for farmers in tweaking these variables to maximize plant photosynthesis. This research focused on assessing the impact of nutrient stress on the photosynthetic rate in leaf vegetable crops and aimed to create a model using artificial neural networks (ANN) to predict photosynthetic rates under nutrient-stress conditions. Leaf vegetable crops were cultivated in a greenhouse using the NFT hydroponic system with eight nutrient conditions. This paper introduces an ANN model featuring nine input variables, ten hidden layers, and a single output. This model aims to elucidate the relationship between these inputs and the output parameter. The statistical analysis revealed a notable disparity in the CO2 assimilation rate among leaf vegetable crops subjected to nutrient stress treatment. The constructed ANN model demonstrated strong performance, achieving an R2 value of 0.9416, an RMSE of 1.5898 during training, and an R2 value of 0.9271 with an RMSE of 1.9649 in validation. A combination of statistical analysis and ANN modeling accurately explained the relationship and influence of input parameters, especially nutrient stress conditions, on the photosynthetic rate of leaf vegetable plants cultivated hydroponically in a greenhouse.
Correlation Analysis of RGB Image-Based Vegetation Indices to Chlorophyll Content in Leafy Vegetables with Nutrient-Stressed Condition: Analisis Korelasi Indeks Vegetasi Berbasis Citra RGB Terhadap Kandungan Klorofil pada Tanaman Sayuran Daun dengan Kondisi Cekaman Hara Suharto, Yohanes Bayu; Suhardiyanto, Herry; Messaline, Theressa
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 13 No. 2 (2025): August 2025
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2025.013.02.03

Abstract

Nutrient stress is one of the main factors affecting the growth and productivity of leafy vegetables. Chlorophyll content is often used to indicate plant nutrient status, but conventional measurement methods are destructive and inefficient. This study aims to analyze the correlation between various RGB camera image-based vegetation indices and chlorophyll content in hydroponically cultivated leafy vegetables under nutrient-stress treatment. The six vegetation indices used in this study are Excess Green (EXG), Visible-band Difference Vegetation Index (VDVI), RGB Vegetation Index (RGBVI), Normalized Green Blue Difference Index (NGBDI), Green-Red Vegetation Index (GRVI), and Visible Atmospherically Resistant Index (VARI). RGB image data were captured using an RGB digital web camera sensor (Xiaovv XVV-6320S) on a photo box set under controlled lighting conditions. At the same time, chlorophyll content was measured using a SPAD-502 Chlorophyll Meter. Pearson correlation analysis showed that the vegetation indices VARI (r = 0.90, R² = 0.82) and GRVI (r = 0.89, R² = 0.80) had robust correlations with chlorophyll content, making them the best indices for RGB image-based estimation of chlorophyll content in leafy vegetables. The results of this study indicate that RGB image-based vegetation indices can be an efficient, non-destructive method for detecting nutrient stress in leafy vegetables and have the potential to be applied in precision agriculture systems and automated monitoring in greenhouses.
Integrating Good Corporate Governance, Islamic Corporate Social Responsibility, Zakat, Syariah Governance, and Syariah Compliance: Exploring their Interconnected Impact on the Financial Health of Islamic Commercial Banks Solihati, Garin Pratiwi; Suhardiyanto, Herry; Hakim, Dedi Budiman; Irawan, Tony
ADMAN: Journal of Contemporary Administration and Management Vol 1 No 3 (2023): December 2023
Publisher : PT. LITERASI SAINS NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61100/adman.v1i3.94

Abstract

The background of this research revolves around the need to understand the complex relationship between Good Corporate Governance (GCG), Islamic Corporate Social Responsibility (ICSR), zakat, Shariah Governance (SG), and Shariah Compliance (SC) in the context of financial institutions, particularly Islamic banks. This study adopts a holistic framework to explore their interconnected impacts on the financial health of Islamic banks. The research utilized a comprehensive literature review with qualitative analysis, aiming to gain a thorough understanding of the subject from 2010 to 2023. The findings indicate that in the face of business complexity and global market dynamics, Islamic banks need to implement concepts such as Good Corporate Governance (GCG), Islamic Corporate Social Responsibility (ICSR), Zakat, Shariah Governance (SG), and Shariah Compliance (SC). The holistic integration of these principles can have a significantly positive impact on the financial health of Islamic banks. GCG provides a robust foundation for risk management and transparency, ICSR enriches the social and environmental dimensions, Zakat plays a crucial role in wealth redistribution and community economic empowerment, while SG and SC ensure adherence to Shariah principles and maintain the integrity of financial institutions. By effectively applying these concepts, Islamic banks can strengthen their position in facing market challenges and enhance their contributions to sustainable economic development.
Pengaruh Pendinginan Daerah Perakaran terhadap Produksi Cabai (Capsicum annuum L.) di dalam Rumah Tanaman Kawasan Tropika Amaliah, Wenny; Syukur, Muhamad; Suhardiyanto, Herry
Jurnal Hortikultura Indonesia (JHI) Vol. 9 No. 2 (2018): Jurnal Hortikultura Indonesia
Publisher : Indonesian Society for Horticulture / Department of Agronomy and Horticulture

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.329 KB) | DOI: 10.29244/jhi.9.2.139-147

Abstract

ABSTRACTCultivation of chili plants in the tropical greenhouse requires cooling as a solution of high temperature inside the greenhouse. One of the cooling system can be applied is root zone cooling. The aim of this research is to apply root zone cooling system to cultivation of chili plant in tropical greenhouse with substrate system, and to know the influence root zone cooling system on growth and productivity of chili plant. Plants are cultivated with a hydroponics substrate system using a drip irrigation system where the cooling pipe is buried inside the substrate medium. First treatment is cooling the root zone with cooled water and the substrate temperature of root zone cooling was 14.1-26.9 0C (CH treatment). Second treatment is cooling the root zone with no cooled water (ambient temperature), and the substrate temperature was 24.8-34.2 0C (NC treatment). The air temperature inside greenhouse was 29.4 0C and 24.7 0C, day and night. Due to lack of intensity of sunlight into the greenhouse, the plants sustain etiolating. However CH treatment produced higher fruit weight per plant compared with NC treatment. The weight of fruit per plant is 873.60 g and 546.00 g, for CH and NC respectively. The fruit size in the CH treatment also produced longer and heavier fruits than the NC treatment.Keywords: hydroponics of pepper, productivity, root temperatureABSTRAKBudidaya tanaman cabai di dalam rumah tanaman daerah beriklim tropis membutuhkan pendinginan sebagai solusi tingginya suhu udara di dalam rumah tanaman. Pendinginan yang dapat diterapkan salah satunya yaitu dengan pendinginan terbatas di daerah perakaran. Penelitian ini bertujuan untuk menerapkan teknik pendinginan daerah perakaran pada budidaya tanaman cabai di dalam rumah tanaman iklim tropika basah dengan sistem substrat, serta untuk mengetahui pengaruh pendinginan daerah perakaran pada pertumbuhan dan produktivitas tanaman cabai. Tanaman dibudidayakan dengan sistem hidroponik substrat dan sistem irigasi tetes yang di dalam media tanam dibenamkan pipa pendingin. Perlakuan pertama adalah pendinginan daerah perakaran dengan air yang didinginkan dan suhu media tanam yang didinginkan berkisar antara 14.1-26.9 0C (perlakuan CH). Perlakuan kedua adalah pendinginan daerah perakaran dengan air yang tidak didinginkan (suhu lingkungan) dengan kisaran suhu media tanam sebesar 24.8-34.2 0C (perlakuan NC), dengan suhu udara rata-rata 29.4 0C pada siang hari dan 24.7 0C pada malam hari. Tanaman mengalami etiolasi akibat kurangnya intensitas cahaya matahari yang masuk ke dalam rumah tanaman. Perlakuan CH menghasilkan bobot buah per tanaman yang lebih tinggi dibandingkan dengan perlakuan NC. Bobot buah per tanaman sebesar 873.60 g dan 546.00 g, untuk CH dan NC berturut-turut. Ukuran buah pun pada perlakuan CH menghasilkan buah yang lebih panjang dan lebih berat dari pada perlakuan NC.Kata kunci: hidroponik cabai, produktivitas, suhu zona perakaran
Analisis Pindah Panas pada Pipa Utama Sistem Hidroponik dengan Pendinginan Larutan Nutrisi Choerunnisa, Nurul; Suhardiyanto, Herry
Jurnal Keteknikan Pertanian Vol. 3 No. 1 (2015): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (726.484 KB) | DOI: 10.19028/jtep.03.1.%p

Abstract

AbstractIn a hydroponic culture with root zone cooling system, the temperature of cooled nutrient solution rises during distribution to the root zone of the plants. The aims of the research were to analyze the heat transfer from environment to nutrient solution in the main pipe of irrigation for hydroponic system, to validate the heat transfer model, and to develop a guidance to determine the inlet temperature for nutrient solution cooling. Mathematical model for heat transfer in the pipe was developed from heat transfer and fluid flow equations. Temperature of nutrient solution at the inlet position in the main distribution pipe was calculated by using validated heat transfer model. Validation of heat transfer model was done to compare the calculated temperature of nutrient solution with that of measured temperature. The results of heat transfer model validation showed that the heat transfer model is accurate to predict the temperature of nutrient solution in the main pipe. Therefore, the heat transfer model has been used to develop a guidance to determine inlet temperature of nutrient solution for certain condition of thermal environment and expectedoutlet temperature of nutrient solution.Keywords: heat transfer analysis, nutrient solution cooling, main pipe, substrate hydroponic systemAbstrakDalam kultur hidroponik dengan sistem pendinginan terbatas, suhu larutan nutrisi mengalami kenaikan selama didistribusikan menuju zona perakaran tanaman. Tujuan dari penelitian ini adalah untuk melakukananalisis pindah panas pada pipa utama sistem hidroponik, melakukan validasi terhadap model pindah panas tersebut, dan mengembangkan panduan untuk menentukan suhu dalam pendinginan larutan nutrisi pada posisi inlet. Model matematika untuk pindah panas dalam pipa tersebut dikembangkan dari persamaan-persamaan pindah panas dan aliran fluida. Suhu dari larutan nutrisi pada posisi inlet dari pipa distribusi utama dihitung dengan menggunakan model pindah panas yang telah divalidasi. Validasi model pindah panas dilakukan untuk membandingkan suhu larutan nutrisi hasil perhitungan dengan hasil pengukuran. Hasil validasi dari model pindah panas menunjukkan bahwa model pindah panas akurat untuk memprediksi suhu larutan nutrisi di dalam pipa utama. Oleh karena itu, model pindah panas tersebut digunakan untuk mengembangkan panduan dalam menentukan suhu larutan nutrisi pada posisi inlet untukkondisi lingkungan tertentu dan suhu larutan nutrisi posisi outlet.Kata kunci: analisis pindah panas, pendinginan larutan nutrisi, pipa utama, sistem hidroponik substratDiterima: 09 Oktober 2014; Disetujui: 07 Januari 2015