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Journal : Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi)

Implementasi Metode Simple Additive Weighting Dalam Penentuan Bantuan Dana Covid . Dwi marisa Efendi; Asep Afandi; Ferly Ardhy
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.506 KB)

Abstract

Covid pandemic is happening at Indonesian, expecially at lampung.it makes regional goverments needs a system Decision Making System used to determination covid help. Method used is saw. This method uses multiple criteria.Criterias are profesion, land living, electricity, water, fuel, income, floor type, building area. SPK is used to avoid subjectively granting assistance.error value is 0,009043027
Implementasi Sistem Pakar Metode Forward Chaining dan Certainty Factor pada Ayam Pedaging Asep Afandi; Dwi Marisa Efendi
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (648.689 KB)

Abstract

Disease attacks the farming, it will reduce the poultry productivity. When the chicken get sick, doctors are expected to be able to help treat and prevent diseases to avoid becoming epidemic. However, this does not really help because it takes a long time to call a doctor while the disease keeps spreading. This study aims to build an expert system by applying the Forward Chaining method that has an accuracy calculation to identify broiler diseases and provide a way to overcome it. Expert system development is carried out using the waterfall system development method with the software life cycle approach sequentially including the analysis, design, programming, and testing. The authors used data from PT. Ciomas Adisatwa, a branch of Bandar jaya - Lampung Tengah. The data were directly obtained from Field Extension Officers, through interviews and direct observation. Accuracy measurements were performed using the Certainty Factor methods. Expert System Identification of Broiler Diseases was tested using the Equivalence Class Partitioning method which is a part of Black Box Testing. The tests show Broiler Disease Identification System went well. The Certainty Factor method shows an accuracy of at least 96% for all types of diseases.