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Application of Deep Sea Water for Multi-Trusses Cultivation of Tomato Using A Nutrient Film Technique YUDI CHADIRIN; TAKAHISA MATSUOKA; HERRY SUHARDIYANTO
HAYATI Journal of Biosciences Vol. 15 No. 2 (2008): June 2008
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.092 KB) | DOI: 10.4308/hjb.15.2.49

Abstract

Deep sea water (DSW) that was applied to 3 trusses of cultivated tomato for 2 weeks affected fruits properties. However, advantageous effects on the soluble solids content, acidity, and dry matter content of the fruit tend to decline from 1st truss to the successive trusses. Thus it is necessary to study the effect of DSW application when it is applied for longer than 2 weeks in cultivated multi-trusses. In this study, DSW treatment was applied for different durations to obtain effect on fruits development and fruit properties of the 1st to 3rd truss in a 3 truss tomato cultivation system using a nutrient film technique. The results of the study show that DSW treatment has strong effect on fruit enlargement during the stage of rapid fruit growth, which lasts until the fruit almost reaches the final size. Treated plants produced tomatoes with better organoleptic with higher soluble solids content and higher acidity, higher dry matter content, a thicker and more resistant cuticle and also gave higher yields (weight and no of fruits) than in single truss tomato cultivation. Key words: tomato (Lycopersicon esculentum), deep sea water, fruit development, fruit properties, multi-trusses cultivation, nutrient film technique
Photosynthetic Rate of Lettuce Cultivated on Floating Raft Hydroponic with Controlled Nutrient Solution Lenni Lenni; Herry Suhardiyanto; Kudang B. Seminar; Radite P. A. Setiawan
HAYATI Journal of Biosciences Vol. 27 No. 1 (2020): January 2020
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.854 KB) | DOI: 10.4308/hjb.27.1.31

Abstract

Lettuce becomes the main ingredient of salad as one of the healthy foods. The lettuce cultivation in tropical areas is often performed in highland. To reduce soil erosion and pesticide contamination, the cultivation of lettuce plants in high open land needs to be reduced. The lettuce cultivation in hydroponic system at tropical lowland requires cooling. The root zone cooling requires enormous electrical energy. However, it can be solved by controlling the temperature based on the automatically. Therefore, it has been developed control and monitoring system for the root zone on floating raft hydroponic system. This study aimed to evaluate the photosynthetic rate of lettuce cultivated in floating raft hydroponic system whose nutrient solution was controlled by the developed control and monitoring system. Statistical analysis was performed to draw the conclusions about photosynthetic variance of lettuce on two hydroponic systems, namely controlled and uncontrolled system. Furthermore, this paper presents an artificial neural network (ANN) model to estimate the photosynthetic rate of lettuce cultivated in the hydroponic systems. The ANN model was comprised of eight input (nutrient temperature, EC, pH, DO, and ORP, air temperature, air humidity, and photon flux density of photosynthetic) and one output (photosynthetic rate). It was noted that the ANN model predicted accurately the photosynthetic rate of lettuce leaves whose R2 was 0.87 for plants cultivated in floating raft hydroponic system whose nutrient solution was controlled by control and monitoring system. The ANN was useful for identifying the photosynthetic rate of lettuce cultivated in floating raft hydroponic systems on tropical lowland.
Penentuan Waktu Penggunaan Water Chiller pada Tanaman Kentang Berdasarkan Sebaran Suhu Daerah Perakaran Drupadi Ciptaningtyas; Iqbal Zaqlul; Herry Suhardiyanto
Teknotan: Jurnal Industri Teknologi Pertanian Vol 11, No 1 (2017): TEKNOTAN, April 2017
Publisher : Fakultas Teknologi Industri Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1632.043 KB) | DOI: 10.24198/jt.vol11n1.10

Abstract

Perbedaan suhu lingkungan sekitar 7°C, antara dataran rendah dan dataran tinggi adalah salah satu kendala untuk menanam tanaman dataran tinggi di dataran rendah. Oleh sebab itu, banyak metode digunakan untuk menyesuaikan kondisi tersebut, salah satunya adalah aplikasi water chiller untuk menurunkan suhu larutan nutrisi. Hingga saat ini aplikasi water chiller belum optimum, karena umumnya water chiller dibiarkan bekerja sepanjang hari selama 24 jam, tanpa mempertimbangkan kondisi lingkungan mikro tanaman yang sebenarnya. Penelitian ini bertujuan untuk mengoptimalkan penggunaan water chiller pada tanaman kentang yang ditanam di dataran rendah, dengan menentukan waktu penggunaan water chiller berdasarkan sebaran suhu media tanam yang disimulasikan dengan Computational Fluid Dynamic (CFD). Penelitian dimulai dengan membuat simulasi CFD oleh bantuan software Solidworks 2011 yang terdiri dari tahap pre-processing, solving, dan post-processing. Hasil penelitian menunjukkan, water chiller untuk tanaman kentang hanya perlu diaktifkan dari pukul 08.00 hingga pukul 17.00, karena hanya pada rentang waktu tersebut suhu daerah perakaran melebihi suhu optimum pertumbuhan tanaman kentang.Kata kunci: arang sekam, simulasi fluida, CFD, tanaman kentang, sebaran suhu
SIFAT THERMO-FISIK ARANG SEKAM Drupadi Ciptaningtyas; Herry Suhardiyanto
Teknotan: Jurnal Industri Teknologi Pertanian Vol 10, No 2 (2016): TEKNOTAN, November 2016
Publisher : Fakultas Teknologi Industri Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (905.325 KB)

Abstract

Efisiensi penggunaan water chiller di wilayah tropis, masih sangat rendah sehingga perlu dilakukan upaya peningkatan. Hal tersebut dapat dilakukan dengan cara mengidentifikasi sebaran suhu media tanam didaerah perakaran di waktu-waktu kritis, agar diketahui kapan sebaiknya water chiller digunakan. Sebaran suhu suatu media tanam dapat disimulasikan dengan computational fluid dynamic (CFD) setelah beberapa sifat thermo-physic media tanam tersebut diketahui. Pada penelitian ini, lima sifat thermo-physic media tanam arang sekam diukur, dihitung, dan dianalisis. Kelima sifat tersebut adalah massa jenis, porositas, panas jenis, konduktivitas panas, dan pressure drop. Hasil penelitian menunjukkan nilai-nilai karakteristik thermo-physic arang sekam adalah sebagai berikut; massa jenis 153.24 kg/m3, porositas 46%, konduktivitas panas 0.0719 W/mK, dan panas jenis 7.932 kJ/kg°C, sedangkan nilai pressure drop arang sekam menurun seiring dengan peningkatan debit fluida yang dialirkan. Kata kunci: arang sekam, simulasi fluida, CFD, sifat thermo-physic
Aplikasi Jaringan Syaraf Tiruan (JST) untuk Pendugaan Suhu Larutan Nutrisi yang Disirkulasikan dan Didinginkan Siang-Malam pada Tanaman Tomat Hidroponik Chusnul Arief; Yohanes Aris Purwanto; Herry Suhardiyanto; Yudi Chadirin
Jurnal Keteknikan Pertanian Vol. 24 No. 2 (2010): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.024.2.%p

Abstract

AbstractCultivation of tomato plant under hydroponics system in the greenhouse is suitable way to improve fruit quality since it is easier to control environmental parameters. In this system, water and nutrition are two important things for plant to growth. In the tropical area such as Indonesia, air temperature is main constraint in the plant production system. Increasing air temperature inside the greenhouse has positive correlation to the raising temperature of nutrient solution which affected to the ability of the plant to absord the nutrition. The effective way to anticipate increasing of its temperature is by using the cooling system of nutrient solution before circulated to the plant. This paper presented the application of Articificial Neural Network (ANN) to estimate the temperature of nutrient solution which was cooled on day-night time and circulated to the plant. ANN models, called time delay neural network, consist of 3 layers with 4 input nodes and 1 output node. As input model were t (time), Tg(i) (air temperature inside the greenhouse on time i), Tt(i) (temperature of nutrient solution in the tank on time i), Tb(i-1) (temperature of nutrient solution in the plant plots on time i-1) and as output model was Tb(i) (temperature of nutrient solution in the plant plots on time i). The model was developed well with validation result better than heat transfer model previously indicated by coefficient determination (R2) of 0.9498.Keywords: cooling, nutrient solution, hydroponic, tomato, artificial neural networkDiterima: 15 Juni 2010;Disetujui: 30 juli 2010
ANALISIS VENTILASI ALAMIAH UNTUK MODIFIKASI RUMAH KACA STANDARD PEAK TIPE CURAM Herry Suhardiyanto; Meiske Widyarti; Fiendy Chrisfian; Iin Sundani Muliawati
Jurnal Keteknikan Pertanian Vol. 20 No. 2 (2006): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.020.2.%p

Abstract

ABSTRACT In tropical region, greenhouses are built to protect plant from heavy rain and insects. However, climatic conditions in the tropics are often ignored by greenhouse designers. In such hot and humid environment, antural ventilation is the most important factors to be considered. There is no cost required to operate the natural ventilation, but it needs an accurate openings design. This paper deals with a modification analysis of the steep-type standard peak greenhouse where inside air temperature was very high. A computer program has been developed to calculate neutral pressure plane and natural ventilation rate. It was used in simulation to predict natural ventilation rate in five alternatives of modified and two alternatives of newly designed greendhouse. An alternative of modified greenhouse design was selected according to the highest natural ventilation rate at the lowest cost. Keyword:
ANALlSIS SUDUT DATANG RADIASI MATAHARI UNTUK PENGEMBANGAN MODEL PINDAH PANAS PADA RUMAH KACA DI DAERAH TROPIKA Herry Suhardiyanto; Yudi Chadirin; Titin Nuryawati; Yayu Romdhonah
Jurnal Keteknikan Pertanian Vol. 21 No. 1 (2007): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.021.1.%p

Abstract

ABSTRACT A heat transfer model has been developed for a naturally ventilated greenhouse under the tropical climatic conditions. In the tropical region, greenhouses are characterized by high exposure in solar radiation and air exchange through natural ventilation. Therefore in this research, incident angle of solar radiation on the greenhouse roof surface has been considered as an important factor to improve the accuracy in calculating the radiation received by the greenhouse. The heat transfer model consists of four layers represent the cover, inside air, floor surface and soil layers of the greenhouse. The model was applied to a naturally ventilated standard-peak greenhouse. A computer program was developed to predict the temperature of the inside air. Incident angle of direct solar radiation on roof surface and outside microclimate parameters data were used as the input values. Heat transfer equations were solved by using the Runge-Kutta Method while the angle of direct solar radiation with the roof surface was calculated by using the principles of geometry. Results show that the model performed well in predicting the temperature of the inside air as compared to that of the measure value.Diterima:  4 Januari 2007; Disetujui: 26 Pebruari 2007
PENGEMBANGAN MODEL JARINGAN SYARAF TIRUAN UNTUK PENDUGAAN SUHU UDARA DI DALAM RUMAH KACA Herry Suhardiyanto; Suroso Suroso; Titin Nuryawati
Jurnal Keteknikan Pertanian Vol. 21 No. 1 (2007): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.021.1.%p

Abstract

ABSTRACT During the daytime in tropical region, air temperature inside the greenhouse higher than the outside air temperature. The prediction of air ternpereture inside the greenhouse can be done by using Artificial Neural Network (ANN) model. The neural network model consist of three layers, there are input layer, hidden layer and output layer. The input layer consist of eight nodes, there are wind velocity, air humidity, air pressure, outside air temperature, daily rainfall, solar radiation, roof temperature and floor temperature. The output layer is inside air temperature of the greenhouse. The ANN models were developed with different proportion of training and validation data. Validation of the model had been done by using standard error prediction, bias and Coefficient of Variation. It had been shown that the ANN model could explain the complicated relationship among greenhouse parameter, effectively. Diterima: 27 Pebruari 2007; Disetujui: 9 Maret 2007.
ANALISIS KESALAHAN PERHITUNGAN LAJU ALlRAN UDARA PADA PENDINGINAN RUMAH TANAMAN DENGAN SISTEM PENGKABUTAN Eni Sumarni; Budi lndra Setiawan; Herry Suhardiyanto
Jurnal Keteknikan Pertanian Vol. 21 No. 1 (2007): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.021.1.%p

Abstract

ABSTRACT Greenhouse cooling with fogging system is important to be studied in improving design of greenhouses. The process is not about cooling the air only but also humidifying. This study aims at evaluating the variables that contribute on error in air flow rate calculation. Furthermore, effects of enthalpy reading from the psychrometric chart on air flow rate calculation has been studied also. Herewith, parameters optimization and error analysis of the air flow rate equation were carried out. Data was taken from a multispan greenhouse which had cover material of PE 150 µm, 105.6 m wide and 205 m length, and three channels consists of 82 nozzles. The result indicates that the enthalpy has more prounounce contribution to determine the air flow rate and it follows successively by temperature and sun radiation. Thus, precise reading of the enthalpy is highly necessary to minimize error of the calculation of the air flow rate. This method of analysis is applicable to find appropriate values of enthalpy and other variables to produce optimum air flow rate in greenhouses. Diterima: 1 Juni 2006; Disetujui: 21 Maret 2007
VENTlLASI ALAMIAH PADA RUMAH KACA STANDARD PEAK TIPE CURAM TERMODIFtKASI Herry Suhardiyanto; Yudi Chadirin; Sumini .; Titin Nuryawati
Jurnal Keteknikan Pertanian Vol. 21 No. 3 (2007): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.021.3.%p

Abstract

ABSTRACT During the daytime in the tropical region, air temperature inside the greenhouse rises some degrees above the temperature level of outside air. Many greenhouses are build very tight. It formed hot air pocket in upper part of the greenhouse. A modification should be done to allow maximum air exchange rate through natural ventilation. This paper deals with the evaluation of natural ventilation role in reducing air temperature in the modified greenhouse as compared to that in the existing greenhouse. Results showed thal greenhouse modification by increasing the area of side wall openings added 11.82 % air flow rate and reduced the temperature of the inside air about 1°C to 3 °C. The calculated air exchange In both greenhouses agreed well with the measured values. Keywords: greenhouse in the tropics, neutral pressure level, air exchange rate. Diterima: 29 Juni 2007; Disetujui: 19 Agustus 2007