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Study of Several Hydroponics Nutrition for Curly Lettuce (Lactuca sativa L.) by Using Sensorized Hydroponics

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Study of Several Hydroponics Nutrition for Curly Lettuce (Lactuca sativa L.) by Using Sensorized Hydroponics

Dennis Mitchel

1,a

, Thalia Sweetenia Sugianto

2,b

, Patrick Anderson Sunaryo

3,c

, Matthew Arian

4,d

, Johan Sukweenadhi

5,e

, Wina Dian Savitri

6,f

,

Popy Hartatie Hardjo

7,g*

1234567Faculty of Biotechnology, University of Surabaya, Jalan Raya Kalirungkut, Surabaya 60292.

East Java, Indonesia

a[email protected], b[email protected],

c[email protected], d[email protected],

e[email protected], f[email protected], g*[email protected] (corresponding author)

Keywords: NFT hydroponic system, nutrition, curly lettuce

Abstract. Hydroponic is a farming method that utilizes water, minerals, and oxygen. This study aims to find out the best nutrition towards growing curly lettuce (Lactuca sativa L.) by using the NFT (nutrient film technique) hydroponic system integrated with sensors to measure EC concentration of nutrients, pH acidity, and RH air humidity. This study also incorporates a grouped randomized design with two nutritional treatment (code P1 and P2), with 20 replication. The results showed that nutrition P1 producing a better variable compared to nutrition P2 in terms of plant length, quantity of leaves, length of root, total mass of fresh plants, total mass of plant crown, total mass of fresh roots, and chlorophyl content.

Introduction

The increasing awareness regarding the importance of a healthy lifestyle triggered an increased demand for vegetables. Curly lettuce is as a horticulture commodity with a prospect and commercial value [3]. Consumers favor curly lettuce because it is consumed raw or in a side dish like salad.

The shift of farmlands into industrial sites has led to a decrease in productive farmland to be utilized by farmers. One of the technologies that can be applied to solve this issue is by utilizing hydroponics [5].

Hydroponics is a cultivation method that uses a growth medium other than soil, hence needing lesser space. Several advantages of hydroponics are efficiency, optimal usage of nutrition and water, better quality, and yield more quantity compared to conventional farming using soil. NFT (nutrient film technique) hydroponics is the best method to cultivate curly lettuce without soil. The NFT method utilizes shallow water flow that circulates micro and macronutrients essential for plants.

According to Frasetya et al. (2021), the NFT hydroponic method is the most optimum method for lettuce cultivation [2].

The nutrient solution inside the water flow is vital in supplying water and minerals. The supply of water and minerals becomes the main factor that contributes to the growth and quality of hydroponic plants. The quality of nutrition is controlled based on the EC (electrical conductivity) value and pH [1]. The NFT hydroponic system combined with EC and pH sensors creates ease in supervising the quality of nutrition supplied to plants. This research analyzes two formulations with different micro and macronutrient compositions but with the same electrical conductivity value.

This study aims to distinguish the impacts of different compositions in formulation toward the growth of curly lettuce in the NFT hydroponic system. Formulation P1 containing specific formulations while formulation P2 are store bought commercial formulations.

Advances in Science and Technology Submitted: 2022-11-18

ISSN: 1662-0356, Vol. 126, pp 203-207 Revised: 2022-12-03

doi:10.4028/p-n0hp0b Accepted: 2022-12-12

© 2023 Trans Tech Publications Ltd, Switzerland Online: 2023-03-02

All rights reserved. No part of contents of this paper may be reproduced or transmitted in any form or by any means without the written permission of Trans Tech Publications Ltd, www.scientific.net. (#612800636-08/03/23,02:04:47)

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Materials

This study was conducted in the University of Surabaya's greenhouse and plant laboratory.

The materials used are; curly lettuce seeds and nutrient formulation with codes P1 and P2. The apparatus used in the NFT hydroponic system is integrated with sensors to detect the concentration of nutrition, acidity, and humidity surrounding the plants.

Seed germination was done by using rockwool as the medium. The germination process takes seven days, producing four leaves in each plantlet and transporting them into the hydroponic set with the EC value of 1.2 mS.cm-1.

TheEC value was observed every two days and adjusted to the optimal ECvalue of 1.2mS.cm-1 on the first week. From the second until the fourth week, the EC value was observed every two days and adjusted to 1.6 mS.cm-1 with an acidity of 6.0 pH. If the pH of nutrition reaches ≥7.0. phosphoric acid was added to lower the pH to the desired value.

This study uses a randomized grouped design with 20 repetitions, and each data was analyzed through a t-test α=5% using SPSS software version 26. The independent variable being analyzed is the P1 and P2 formulas.

The independent variables that are analyzed are as such: length of plants measured from the base of the sample to the end of the leaves every week, number of leaves on each lettuce plant, new leaves that emerge every week, length of roots at harvest, the weight of plant after harvest, and the concentration of chlorophyll A and B from the highest leaves of the plant. The growth process of plants is done in a homogenous condition.

Chlorophyll A and B are obtained from a series of the extraction process. This process begins by selectively choosing the smallest leaf on the inner part of the curly lettuce from plants produced using formulas P1 and P2. A total mass of 0.3 grams of curly lettuce leaves is transferred inside a mortal and pestle. Liquid nitrogen is poured onto a mortar and pestle to grind the lettuce samples.

Lettuce samples are grind until it turns to powder. The powder is then moved onto a 15ml falcon tube, and 5ml of acetone is added and left for 24 hours in the dark to extract chlorophyll A and B.

After 24 hours, the sample diluted in acetone from code P1 and P2 is transferred 1ml each into a cuvette. A total of three cuvettes are obtained for each formulation, with a total of six cuvettes. All six cuvettes are placed into a spectrophotometer and analyzed at wavelengths of 480 nm, 645 nm, and 663 nm. The results are recorded and calculated to produce the average value and standard deviation.

Results and Discussion

The differences between nutrient formulations do affect curly lettuce growth, such as its height and total of leaves from the first to the fourth week. The data can be seen in Tables 1 and 2. where the length and the total of curly lettuce leaves are better when the first nutrient formulation is given compared to the second. However, the differences that occurred did not have significant differences.

This shows that having a good nutrient formula composition is the most crucial in determining hydroponic plants' growth.

204 Science and Technology Applications

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Table 1. Different nutrient formula treatments affect the length of curly lettuce.

Independent Variables

Measured Average plant length (cm)

Week-1 Week-2 Week-3 Week-4

P1 6.5±0.07 10.8±0.12 19.8±0.28 21.5±0.52

P2 6.2±0.03 8.7±0.14 14.2±0.52 17.2±0.95

p value 0.08ns 0.35ns 0.04ns 0.07ns

Notes: * p (probability) 0.05 defines there is a significant difference with t-test Ns (non significant) with t-test p>0.05

The code P1 nutrient sample produces more amount of leaves compared to the code P2 nutrient sample, as can be seen in Table 2. However, the differences are not too significant. The amount of leaves is affected by the availability of nitrogen elements in the photosynthesis process.

The increasing photosynthesis rate will produce more carbohydrates and many other organic compounds in large amounts that will later be used for organogenesis. This is shown in the total amount of leaves of curly lettuce plants. Plants need macro and micronutrients in their growth, but if one of the nutrients, both macro, and micro, is less available, then it will negatively affect the growth and development of the plants [4].

Table 2. Different nutrient formula treatments affect the number of leaves of curly lettuce.

Independent Variables

Measured Average number of leaves

Week-1 Week-2 Week-3 Week-4

P1 5.1±0.02 14.1±0.05 17.8±0.08 20.7±0.15

P2 4.5±0.05 12.5±0.09 15.6±0.16 17.8±0.29

p value 0.068ns 0.081ns 0.122ns 0.085ns

Notes: * p (probability) 0.05 defines there is a significant difference with t-test Ns (non significant) with t-test p>0.05

The length of roots is an indicator of the growth and the expansion of the root in increasing the area of nutrient absorption. The data analysis results at the end of the fourth week (Table 3) show that the code P1 nutrient formulation is better than the code P2 nutrient formulation, even if the differences are not too distinguishable. This means that the differences in nutrient composition and type of P1 and P2 samples do not significantly impact. The same result happens in the header variable and root's fresh weight. The differences that occur are not too significant. However, code P1 nutrient formulation is more likely to have better results than the P2 formula.

Furthermore, the chlorophyll a and b in code P1 nutrient formulation show better results when compared to the content of chlorophyll a and b in code P2 nutrient formulation. These data strengthen that the nutritional treatment of code P1 has a better effect than code P2. However, no significant effect is seen in every single variable from the first to the fourth week of observation after planting in hydroponic media. It is possible to obtain a significant difference in the nutrition formulation of code P1 rather than code P2 over a more extended period because the best time to harvest curly lettuce is at the beginning of the sixth week.

Advances in Science and Technology Vol. 126 205

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Table 3. Effects of formulated nutrients towards different variables of curly lettuce at week 3 Independent

Variables Measured

Root Length

(cm)

Weight of plant without

root (g)

Root weight after harvest(g)

Composition of

chlorophyll a Composition of chlorophyll

b P1 25.2±0.13 18.94±4.277 4.83±1.068 21.69±1.027 22.72±0.351 P2 19.6±0.08 15.82±0.585 4.41±1.911 16.64±0.951 16.72±0.610

p value 0.390ns 0.280ns 0.756ns 0.018* 0.000*

Notes: * p (probability) 0.05 defines there is a significant difference with t-test Ns (non significant) with t-test p>0.05

The control in EC value is aimed to understand the concentration level of nutrients inside the hydroponic system. In this study, the EC value is adjusted with the aim to compare the quality against both formulations. Results that were obtained indicated that within four weeks, growth of curly lettuce in P1 formula is significantly better compared to P2 in terms of growth variable such as size of leaves and length of plants. The levels of chlorophyll a and b also shows there is a significant margin with more chlorophyll detected on formula P1 compared to P2.

Summary

The comparison between P1 formula and P2 formula yielded in a better growth performance and results for P1 against the P2 formula.

Acknowledgement

This study is funded by the Matching Fund 2022 program with the contract number of 010/MF/LPPM/Dikbudristek/FTB/VII/2022 20th July 2022 led by the lead researcher Dr.Ir. Popy Hartatie Hardjo, M.Si.

References

[1] Binaraesa, N.N.P.C., S.M. Sutan, dan A.M. Ahmad. 2016. Nilai EC (electro conductivity) berdasarkan umur tanaman selada daun hijau (Lactuca sativa L.) dengan sistim hidroponik NFT (nutrient film technique). Jurnal Keteknikan Pertanian Tropis dan Biosistem 4(1):65-74.

https://jkptb.ub.ac.id/index.php/jkptb/article/download/352/284

[2] Frasetya, B., K. Harisman, and N.A.H. Ramdaniah. 2021. The effect of hydroponics systems on the growth of lettuce. IOP Conf. Series: Materials Science and Engineering. doi:10. 1088/1757- 899X/1098/4/042115

[3] Manalu, D.S.T. dan L. Bangun. 2020. Analisis Kelayakan Finansial Selada Keriting dengan Sistem Hidroponik (Studi Kasus PT Cifa Indonesia). AgriHumanis: Journal of Agriculture and Human Resource Development Studies 1(2):117-126. http://jurnal.bapeltanjambi.id/

index.php/agrihumanis

[4] Siregar, J., S. Triyono, dan D. Suhandy. 2015. Pengujian beberapa nutrisi hidroponik pada selada (Lactuca sativa L.) dengan teknologi hidroponik sistim terapung (THST) termodifikasi. Jurnal Teknik Pertanian Lampung 4(1):65-72. https://jurnal.fp.unila.ac.id/index.php/JTP/

article/download/775/711

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[5] Subandi, M., S. Birnadi, S. Ginandjar, dan B. Frasetya. 2020. Identifikasi Arah Pengembangan Riset dan Tinjauan Sistem Teknik Budidaya Hidroponik di Indonesia.

https://www.researchgate.net/publication/361484514.

http://dx.doi.org/10.13140/RG.2.2.33996.49283

[6] Sukweenadhi, J., S.R. Balusamy, Y.J. Kim, C.H. Lee, Y.J. Kim, S.C. Koh., and D.C. Yang. 2018.

A growth-promoting bacteria Paenibacillus yonginensis D.C.Y84T enhanced salt stress tolerance by activating defence-related systems in Panax ginseng. Front. Plant Sci. 9:813. doi:

10.3389/fpls.2018.00813

Advances in Science and Technology Vol. 126 207

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Table of Contents

Preface

Chapter 1: Structural Mechanics

Simulation of the Response of Multi-Story Buildings with Concrete-Silica Fume and Concrete-Liquid Carbon Dioxide

B. Nasution, H.A. Nasution, K. Amdani, M. Kadri, S.D. Sari, E.L.B. Barus, D.A. Nst, L. Suryani

and I. Afala 3

Numerical Test of the Use of CO2 in Multy Storey Building Structures during an Earthquake

B. Nasution, K. Amdani, M. Kadri, H.A. Nasution, S.D. Sari, E.L.B. Barus, D.A. Nst, L. Suryani

and I. Afala 18

Chapter 2: Nuclear Reactor Technologies

Evaluation on Structure, System, and Component Qualification in the Periodic Safety Review of RSG-GAS

E.P. Hastuti, Purwadi, Sudarmono, A. Rohanda and S. Permana 29

Effect of Neutronic Parameters on the Cladding of the AP1000 MOX Fuel by Calculations Using MCNP Code

T. Surbakti, S. Pinem and L. Suparlina 40

Chapter 3: Design of Thermal Energy Equipment

Thermal Design Approach of a Shell and Tube Heat Exchanger for Pyrolysis-Vapor Condensations

J.P. Simanjuntak, B.H. Tambunan, J.L. Sihombing and R. Riduwan 51

Thermoelectric Application of TEG1-241-1.4-1.2 for Power Generation from Low Temperature Geothermal Fluid

H. Marpaung, A. Singarimbun, W. Srigutomo and N.K. Lasmi 67

Chapter 4: Measurements and Sensors

IoT Based Fermentation Incubator for Automating UMKM Industry of Tempeh

Saharudin, N. Hapsari, T. Aisyah and G.F.S. Putra 81

Implementation of Three Types of Sensors for Monitoring Plant Development in Hydroponic Media

V.R. Prasetyo, Y.A. Jayadinata and N.M. Ramadhan 89

Classification of Beef and Lamb Patterns Using Conducting Polymer Sensor Series and Kohonen Algorithm Method

B.E. Simanjuntak, M. Situmorang, S. Humaidi and M. Sinambela 97

Chapter 5: Data and Image Processing

Medical Visualization from Hospital in Kupang City Based on Visualization Toolkits

F.R. Ngana, R.A.R. Dima, L.A.S. Lapono and A.C. Louk 113

Mobile Based Mosquito Larvae Recognition from Photo Image Using Convolutional Neural Network

A. Fariza, W. Yuwono, R. Akbar, R. Asmara and I.G.K.P. Aryawan 128

Science and Technology ApplicationsScience and Technology ApplicationsScience and Technology ApplicationsScience and Technology Applications

ISBN(softcover): 978-3-0364-0241-3 ISBN(eBook): 978-3-0364-1241-2

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Marine and Fishery Big Data System Model: A Knowledge Management System Perspective

N.S. Fitriasari, W.A. Arifin, A. Armelita, L. Anzani, A. Dzikrillah, A.M. Rahmah, A.A. Sujana,

H.M. Kisty and S.P. Fahriza 137

Chapter 6: Materials for Biomedical Applications

Influence of UDMA and TEGDMA Concentration on Morphology, Bonding, Thermal and Mechanical Properties of UV-Cured Resin

L. Sianturi, T. Sembiring, K. Sembiring and S. Humaidi 147

PVA/Chitosan Composite Electrospun Nanofiber Membranes for Wound Dressing and Antibacterial Efficacy

N.N. Rupiasih, R. Yuliani, D.A. Pranastia, M. Sumadiyasa, W. Supardi, I.M. Sukadana and M.

Manawan 153

Chapter 7: Biotechnology and Environmental Protection

The Influence of Vacuum Pressure Heating Treatment on the Characteristic of Crude Palm Oil for Alternative Mineral Oil Insulator

M. Mustangin, B. Purwantana, C. Hidayat and R. Radi 167

Characterization of Two Purified Amylase Produced from Aspergillus niger ICP2 and its Immobilization Using Activated Carbon

K. Muzakhar, R. Putrasetya, Azizah, F. Salma, R. Winarsa and Siswoyo 177 Purification of an Extracellular Amylase Produced by Aspergillus niger ICP2 through

Submerged Fermentation

R. Winarsa, R. Putrasetya, Azizah, F. Salma, Siswoyo and K. Muzakhar 186 The Effect of Zeolite Particle Size on Adsorption on Heavy Metals

M. Sirait, K. Sinulingga and N. Siregar 194

Chapter 8: Plant Cultivation Technologies

Study of Several Hydroponics Nutrition for Curly Lettuce (Lactuca sativa L.) by Using Sensorized Hydroponics

D. Mitchel, T.S. Sugianto, P.A. Sunaryo, M. Arian, J. Sukweenadhi, W.D. Savitri and P.H.

Hardjo 203

Identification of Mycorrhizal Fungi Spore in Environment of Medan State University

G. Sirait, A. Hasairin and S. Edi 208

Variety of Andaliman Plants in the Salon Dolok Area with Lumban Julu

J.O. Gultom, A. Hasairin and E. Syahmi 214

Response Formation of Cattleya Orchid Leaf Callus (Cattleya Sp.) with the Addition of 2.4 Dichlorophenoxy Acetic Acid and 6-Benzyl Amino Purine In Vitro

I. Hariyadi, F. Harahap and M. Silitonga 219

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