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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

Sistem Pakar Mendiagnosis Penyakit Pada Ikan Gurami Menggunakan Metode Dempster Shafer Puri Yatna; Yessy Yanitasari; Dedih Dedih
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (715.254 KB) | DOI: 10.29207/resti.v3i2.917

Abstract

The limited knowledge possessed by gouramy cultivators on diseases that attack gouramy has become a problem and obstacle in the effort of hatchery and enlargement of gouramy and the lack of experts in gouramy to provide counseling about gouramy diseases, so it is necessary to develop expert system applications aimed at a forum for consultation with experts, diagnosing gouramy disease and providing solutions to prevent diseases of gouramy. In the expert system there are several inference machines that can be used, one of them is using dempster shafers which are mathematical theories for proof based on belief functions and plausible reasoning. Used to calculate the probability of an event obtained from a combination of separate pieces of information (facts). In this study an expert system for diagnosing disease in gouramy using a dempster shafer inference machine resulted in a calculation of the level of confidence in carp disease at the highest 99.85% in Red Disease (Motile Aeromonas Septocemia) and at least 90% in white spot disease (White spot ).
Penentuan Peluang Usaha Pertanian Holtikultura Menggunakan Simple Additive Weighting dan Promethee Yogi Hermawan; Dedih .; Yessy Yanitasari
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (666.776 KB) | DOI: 10.29207/resti.v3i3.1255

Abstract

One of the agriculture sectors that can be used as business opportunities is the vegetable commodity horticultural agriculture sector. There are 5 criteria that can be used, namely the analysis of initial capital, operational costs, harvest time, selling price and profits. While there are 12 kinds of plants namely shallots, green cayenne peppers, green mustard greens, round green eggplants, squash / cucumber, cucumber, long beans, spinach, kale, tomatoes, cauliflower and bitter melon / bitter melon. The implementation of Decision Support System (SPK) to determine horticultural farming business opportunities can be done using the Simple Additive Weighting (SAW) and Promethee methods. The SAW method calculates the value of each criterion, the weight of the criteria and the type of criteria that can be determined by the user himself and the method of method used to determine the order of priority. The SAW method calculates the value of each criterion, the weight of the criteria and the type of criteria that can be determined by the user himself and the promethee methods used to determine the order of priority. The results of this study are getting the highest priority value is spinach plants by 78.1% based on data processed in June 2019 in Karawang district with business analysis in an area of 23 x 2 meters.