RANCANG BANGUN SISTEM PAKAR PENANGGULANGAN PENYAKIT KEDELAI

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dc.contributoren-US
dc.creatorAstuti, Indah Puji; Departemen Ilmu Komputer Institut Pertanian Bogor
dc.creatorHermadi, Irman; Departemen Ilmu Komputer IPB
dc.creatorBuono, Agus; Departemen Ilmu Komputer IPB
dc.creatorMutaqin, Kikin H; Departemen Proteksi Tanaman IPB
dc.date2016-06-03
dc.date.accessioned2019-10-09T09:43:24Z
dc.date.available2019-10-09T09:43:24Z
dc.descriptionEarly detection and identification of soybean diseases is important to support better productivity of soybean. The demand for the availability of an expert on soybean disease is very high, especially for the beginners in the field of agriculture. However, the number and time allocation of the experts are not adequate to serve farmers located in different geographical areas. Therefore, an expert system is proposed as a solution to use as a diagnostic tool for soybean diseases just like a human expert. It will be even easier when the system is implemented into an Android-based application to be used anywhere and anytime. The objective of this study was to analyze and design an expert system for early identification of soybean diseases. This study was adopting the Expert System Development Life Cycle (ESDLC) approach. The stages were project initialization, knowledge engineering process, and implementation. The study was started with the project initialization phase that conducted in September 2014 and the completion of the implementationphase in August 2015. The results of research were in the form of document analysis and prototype system.en-US
dc.formatapplication/pdf
dc.identifierhttp://ejurnal.litbang.pertanian.go.id/index.php/IP/article/view/8427
dc.identifier10.21082/ip.v25n1.2016.p117-130
dc.identifier.urihttp://124.81.126.59/handle/123456789/7821
dc.languageeng
dc.publisherSekretariat Badan Penelitian dan Pengembangan Pertanianen-US
dc.relationhttp://ejurnal.litbang.pertanian.go.id/index.php/IP/article/view/8427/7277
dc.relationhttp://ejurnal.litbang.pertanian.go.id/index.php/IP/article/downloadSuppFile/8427/470
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dc.relationhttp://ejurnal.litbang.pertanian.go.id/index.php/IP/article/downloadSuppFile/8427/476
dc.relationhttp://ejurnal.litbang.pertanian.go.id/index.php/IP/article/downloadSuppFile/8427/477
dc.rightsCopyright (c) 2018 Informatika Pertanianen-US
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0en-US
dc.sourceInformatika Pertanian; Vol 25, No 1 (2016): JUNI 2016; 117-130en-US
dc.source2540-9875
dc.source0852-1743
dc.subjectandroid-based;ESDLC; expert system;soybean diseaseen-US
dc.titleRANCANG BANGUN SISTEM PAKAR PENANGGULANGAN PENYAKIT KEDELAIen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Articleen-US
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