Automation Mangrove Identification with Case Based Reasoning Process

Mangroves are ecosystems with unique functions in the environment. Because of its physical properties, mangroves are able to play a role as a wave retardant as well as retaining intrusion and abrasion of the sea. Mangroves themselves have various types of species that are spread throughout Indonesia...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Jurnal EECCIS Jg. 16; H. 2; S. 57 - 63
Hauptverfasser: Vatresia, Arie, Johar, Asahar, Regen, Rendra, Kennedy, John
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Departement of Electrical Engineering, Faculty of Engineering, Universitas Brawijaya 31.08.2022
Schlagworte:
automation
bengkulu
case based reasoning
knn
mangrove
ISSN:2460-8122, 2460-8122
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract Mangroves are ecosystems with unique functions in the environment. Because of its physical properties, mangroves are able to play a role as a wave retardant as well as retaining intrusion and abrasion of the sea. Mangroves themselves have various types of species that are spread throughout Indonesia and not yet widely known to people in general. In identifying the mangrove species itself cannot be done arbitrarily, it requires an expert who truly understands the mangrove species. This research was conducted with the aim of adopting the knowledge of mangrove experts to identify mangrove species into expert systems. The method used is case based reasoning method using the KNN algorithm which is used to calculate the similarity value between cases that will be applied to the expert system to identify mangrove species found in Taman Wisata Alam Pantai Panjang dan Pulau Baai Kota Bengkulu. This system is built using HTML, CSS, Javascript, Php, and Mysql programming languages and is designed using UML diagrams. The results of this study itself are, it has been successfully applied the case based reasoning method in the expert system to identify mangrove species found in Taman Wisata Alam Pantai Panjang dan Pulau Baai Kota Bengkulu
AbstractList Mangroves are ecosystems with unique functions in the environment. Because of its physical properties, mangroves are able to play a role as a wave retardant as well as retaining intrusion and abrasion of the sea. Mangroves themselves have various types of species that are spread throughout Indonesia and not yet widely known to people in general. In identifying the mangrove species itself cannot be done arbitrarily, it requires an expert who truly understands the mangrove species. This research was conducted with the aim of adopting the knowledge of mangrove experts to identify mangrove species into expert systems. The method used is case based reasoning method using the KNN algorithm which is used to calculate the similarity value between cases that will be applied to the expert system to identify mangrove species found in Taman Wisata Alam Pantai Panjang dan Pulau Baai Kota Bengkulu. This system is built using HTML, CSS, Javascript, Php, and Mysql programming languages and is designed using UML diagrams. The results of this study itself are, it has been successfully applied the case based reasoning method in the expert system to identify mangrove species found in Taman Wisata Alam Pantai Panjang dan Pulau Baai Kota Bengkulu
Author Kennedy, John
Vatresia, Arie
Johar, Asahar
Regen, Rendra
Author_xml – sequence: 1
  givenname: Arie
  orcidid: 0000-0001-9789-3498
  surname: Vatresia
  fullname: Vatresia, Arie
– sequence: 2
  givenname: Asahar
  surname: Johar
  fullname: Johar, Asahar
– sequence: 3
  givenname: Rendra
  surname: Regen
  fullname: Regen, Rendra
– sequence: 4
  givenname: John
  surname: Kennedy
  fullname: Kennedy, John
BookMark eNpNkMtOAjEYhRuDiYg8gZt5gcFep-0S8UaC0RhdN738xRKYmumI8e1FIMbNOSdn8S2-czRocwsIXRI8oUTK5moF4H0qky1pEp0QLvEJGlLe4FoRSgf_9hkal7LCGFNNqVR8iG6mn33e2D7ltnq07bLLW6jmAdo-xeQP_1fq36uZLVBd7yJUL2BLblO7rJ677KGUC3Qa7brA-Ngj9HZ3-zp7qBdP9_PZdFF7IgSuNXcUE8F5AEes4IEKJZQEQmJ0NESvLAgsA2MiSAJMSUYwjk5pHAKlno3Q_MAN2a7MR5c2tvs22SazP3K3NLbrk1-DodoxrRRoHCl3GmuCaVBOe4gNYU7sWOzA8l0upYP4xyPY7L2ao1ez92p-vbIfBZZuvQ
ContentType Journal Article
DBID AAYXX
CITATION
DOA
DOI 10.21776/jeeccis.v16i2.1470
DatabaseName CrossRef
DOAJ Open Access Full Text
DatabaseTitle CrossRef
DatabaseTitleList CrossRef
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 2460-8122
EndPage 63
ExternalDocumentID oai_doaj_org_article_29b3988e90f24b909102d8b9cef613b5
10_21776_jeeccis_v16i2_1470
GroupedDBID AAYXX
ALMA_UNASSIGNED_HOLDINGS
CITATION
GROUPED_DOAJ
ID FETCH-LOGICAL-c1550-94b201544deb1a54d258587e11ffb2dfc8ae507d335d71e3873100fb890dd22c3
IEDL.DBID DOA
ISSN 2460-8122
IngestDate Fri Oct 03 12:52:04 EDT 2025
Sat Nov 29 01:40:44 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Language English
License http://creativecommons.org/licenses/by/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c1550-94b201544deb1a54d258587e11ffb2dfc8ae507d335d71e3873100fb890dd22c3
ORCID 0000-0001-9789-3498
OpenAccessLink https://doaj.org/article/29b3988e90f24b909102d8b9cef613b5
PageCount 7
ParticipantIDs doaj_primary_oai_doaj_org_article_29b3988e90f24b909102d8b9cef613b5
crossref_primary_10_21776_jeeccis_v16i2_1470
PublicationCentury 2000
PublicationDate 2022-08-31
PublicationDateYYYYMMDD 2022-08-31
PublicationDate_xml – month: 08
  year: 2022
  text: 2022-08-31
  day: 31
PublicationDecade 2020
PublicationTitle Jurnal EECCIS
PublicationYear 2022
Publisher Departement of Electrical Engineering, Faculty of Engineering, Universitas Brawijaya
Publisher_xml – name: Departement of Electrical Engineering, Faculty of Engineering, Universitas Brawijaya
SSID ssj0002922784
Score 2.1927035
Snippet Mangroves are ecosystems with unique functions in the environment. Because of its physical properties, mangroves are able to play a role as a wave retardant as...
SourceID doaj
crossref
SourceType Open Website
Index Database
StartPage 57
SubjectTerms automation
bengkulu
case based reasoning
knn
mangrove
Title Automation Mangrove Identification with Case Based Reasoning Process
URI https://doaj.org/article/29b3988e90f24b909102d8b9cef613b5
Volume 16
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2460-8122
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0002922784
  issn: 2460-8122
  databaseCode: DOA
  dateStart: 20210101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV05T8MwGLVQxQAD4hTlkgdGQuMjsT22hYqFCiGQukU-URlS1Ov389kJKBsLS4Yoiqz3Rd-lvPcQuoV85wpoq2EsoSLjlhWZKnzIisKUzpTECqmT2YSYTuVspl46Vl_xn7BGHrgBbkCVYUpKr_JAuVGxvFEnjbI-QCUySb00F6ozTMUcTFWkePJGZgi6blEOPj2cdr6635JyTiFBRHviTinqKPan0jI5RAdtT4iHzVmO0I6vj9F-RynwBD0MN-tFwzLEz7r-WC62Hjck29Bu3XBcqeIxVCU8govDr16v0rIVt2yAU_Q-eXwbP2WtAUJm4-SQKW5ocglzkFF1wR2F5l4KT0gIhrpgpfbQzznGCieIZ1LEdX0wUuXOUWrZGerVi9qfI0w0kTkEodTBc6WlIjwwYo0QWtucqT66-8Gi-mp0LiqYDxJ0VQtdlaCrInR9NIp4_T4aRarTDQhd1Yau-it0F__xkku0RyMjIa15r1Bvvdz4a7Rrt-v5anmTvopvaTC7xw
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Automation+Mangrove+Identification+with+Case+Based+Reasoning+Process&rft.jtitle=Jurnal+EECCIS&rft.au=Arie+Vatresia&rft.au=Asahar+Johar&rft.au=Rendra+Regen&rft.au=John+Kennedy&rft.date=2022-08-31&rft.pub=Departement+of+Electrical+Engineering%2C+Faculty+of+Engineering%2C+Universitas+Brawijaya&rft.eissn=2460-8122&rft.volume=16&rft.issue=2&rft.spage=57&rft.epage=63&rft_id=info:doi/10.21776%2Fjeeccis.v16i2.1470&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_29b3988e90f24b909102d8b9cef613b5
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2460-8122&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2460-8122&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2460-8122&client=summon