Melola Discovery

← Melola Discovery

Jurnal SINTA 1

Optimization of EC Values of Nutrient Solution for Tomato Fruits Quality in Hydroponics System Using Artificial Neural Network and Genetic Algorithms

Journal of Mathematical and Fundamental Sciences · Vol. 41 No. 1 (2013) · hlm. 38–49

DOI
10.5614/itbj.sci.2009.41.1.3
ISSN
2338-5510, 2337-5760
Terbit
2013-07-21
Penerbit
Directorate for Research and Innovation (DRI) ITB
Bahasa
eng

Abstrak

Total soluble solids (TSS) and fruit fresh weight are two indicators to show the quality of tomato fruits. To gain high values of TSS and fruit fresh weight, it is important to consider the concentration of nutrient solution, which is commonly represented by Electrical Conductivity (EC) value. Generally, the increasing of EC value not only increases the number of TSS, but also decreases fruit fresh weight. Therefore, it is important to optimize the EC value for both indicators of quality of tomato fruits. The objective of this research is to optimize the EC value of nutrient solution on each generative stage using Artificial Neural Network (ANN) and Genetic Algorithms (GA). ANN was used to identify the relationship between different EC value treatments with TSS value and fruit fresh weight. GA was applied to determine the optimal EC value in generative growth, which is divided into three stages. Results showed that the optimal EC values in the flowering stage, the fruiting stage and the harvesting stage were 1.4 mS/cm, 10.2 mS/cm and 9.7 mS/cm, respectively.

Jaringan kolaborasi para penulis

40 penulis · 126 tautan kepenulisan bersama · 50 lintas organisasi · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • IPB University
  • National Nuclear Energy Agency of Indonesia
  • State University of Semarang
  • University of Indonesia
  • National Research and Innovation Agency
  • Universitas Gadjah Mada
  • Universitas Esa Unggul
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Heru SriwahyuniNational Nuclear Energy Agency of Indonesia3
Supriyanto .Afiliasi tidak diketahui3
Satyanto Krido SaptomoIPB University3
Gustri NurliatiNational Nuclear Energy Agency of Indonesia2
ErniatiAfiliasi tidak diketahui2
RudiyantoAfiliasi tidak diketahui2
Willy Bayuardi SuwarnoIPB University2
Muhamad AskariMuhammadiyah University of Yogyakarta2
Putri RonitawatiUniversitas Esa Unggul1
Tiurma SinagaAfiliasi tidak diketahui1
. NurhayatiAfiliasi tidak diketahui1
Haniif PrasetiawanState University of Semarang1
Aulia MukadisState University of Semarang1
Afrissa Viola MottiState University of Semarang1
Budiman MinasnyThe University of Sydney1
Vita Ayu Kusuma DewiIPB University1
Liyantono LiyantonoIPB University1
Roh Santoso Budi WaspodoIPB University1
Bayu Dwi Apri NugrohoUniversitas Gadjah Mada1
Andrianto AnsariUniversitas Gadjah Mada1
Yusuf WibisonoUniversity of Brawijaya1
Sri Anna MarliyatiIPB University1
Farah FauziyyahIPB University1
Dadong IskandarNational Nuclear Energy Agency of Indonesia1
Mirawaty MirawatyNational Nuclear Energy Agency of Indonesia1
Pungky Ayu ArtianiNational Nuclear Energy Agency of Indonesia1
Kuat HeriyantoNational Nuclear Energy Agency of Indonesia1
Nurul Efri EkaningrumNational Nuclear Energy Agency of Indonesia1
Yuli PurwantoNational Nuclear Energy Agency of Indonesia1
S SumarbagionoNational Nuclear Energy Agency of Indonesia1
T. BasukiNational Research and Innovation Agency1
Niken Siwi PamungkasChulalongkorn University1
Yuni Krisyuningsih KrisnandiUniversity of Indonesia1
Arie BudiantiNational Research and Innovation Agency1
Zeni AnggrainiNational Research and Innovation Agency1
U. ZhafirahUniversity of Indonesia1
Asep SaefumillahUniversity of Indonesia1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jmfs/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Optimization of EC Values of Nutrient Solution for Tomato Fruits Quality in Hydroponics System Using Artificial Neural Network and Genetic Algorithms</dc:title>
	<dc:creator>Suhardiyanto, Herry</dc:creator>
	<dc:creator>Arif, Chusnul</dc:creator>
	<dc:creator>Setiawan, Budi I.</dc:creator>
	<dc:description xml:lang="en-US">Total soluble solids (TSS) and fruit fresh weight are two indicators to show the quality of tomato fruits. To gain high values of TSS and fruit fresh weight, it is important to consider the concentration of nutrient solution, which is commonly represented by Electrical Conductivity (EC) value. Generally, the increasing of EC value not only increases the number of TSS, but also decreases fruit fresh weight. Therefore, it is important to optimize the EC value for both indicators of quality of tomato fruits. The objective of this research is to optimize the EC value of nutrient solution on each generative stage using Artificial Neural Network (ANN) and Genetic Algorithms (GA). ANN was used to identify the relationship between different EC value treatments with TSS value and fruit fresh weight. GA was applied to determine the optimal EC value in generative growth, which is divided into three stages. Results showed that the optimal EC values in the flowering stage, the fruiting stage and the harvesting stage were 1.4 mS/cm, 10.2 mS/cm and 9.7 mS/cm, respectively.</dc:description>
	<dc:publisher xml:lang="en-US">Directorate for Research and Innovation (DRI) ITB</dc:publisher>
	<dc:date>2013-07-21</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jmfs/article/view/44</dc:identifier>
	<dc:identifier>10.5614/itbj.sci.2009.41.1.3</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Mathematical and Fundamental Sciences; Vol. 41 No. 1 (2009); 38-49</dc:source>
	<dc:source>2338-5510</dc:source>
	<dc:source>2337-5760</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jmfs/article/view/44/40</dc:relation>
</oai_dc:dc>