Analisa Berat Bersih Daging Serta Ciri-Ciri Sapi Normal dan Glongongan Menggunakan Sistem Pakar dengan Metode Case Based Reasoning (CBR) Berbasis Android

Meat needs, especially beef, are increasingly increasing, because human awareness of the importance of nutritional needs derived from animal meat. The high demand for beef needs has resulted in farmers and cattle traders trying to sell as many animals as possible. Farmers and cattle traders in Indon...

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Main Authors: Lukman Effendi, Deden Mauli Darajat, Sri Lestari
Format: Article
Language:Indonesian
Published: Universitas Muhammadiyah Ponorogo 2018-12-01
Series:Multitek Indonesia
Subjects:
Online Access:http://journal.umpo.ac.id/index.php/multitek/article/view/1219
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author Lukman Effendi
Deden Mauli Darajat
Sri Lestari
author_facet Lukman Effendi
Deden Mauli Darajat
Sri Lestari
author_sort Lukman Effendi
collection DOAJ
description Meat needs, especially beef, are increasingly increasing, because human awareness of the importance of nutritional needs derived from animal meat. The high demand for beef needs has resulted in farmers and cattle traders trying to sell as many animals as possible. Farmers and cattle traders in Indonesia are still largely unprofessional. For the sake of getting a lot of profit, it was time to takeaction that harmed cattle and consumers. One such action is to sell “glonggongan” meat which is to increase the mass / weight of beef by giving excessive drinking water before the cow is cut. One way to overcome this action is to provide information to buyers through a net weight analysis system for normal beef and glonggings using an expert system with case-based reasoning. The research will be carried out starting from the collection of data from normal and glaucous cows by looking at the body  weight, gender, upper-lower cows circumference of the abdomen, side of the cow's overall body  circumference, height, leg height, head length, butt width, body length cow. In obtaining output with a 95% truth value, the base of the case stored in the database is at least 150 cases. All input variables will be analyzed and matched on a case basis using an expert system with CBR (case-based reasoning) method
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spelling doaj.art-01745b9c910044a491235f8cdc5cbaae2022-12-22T00:34:21ZindUniversitas Muhammadiyah PonorogoMultitek Indonesia1907-62232579-34972018-12-0112211412110.24269/mtkind.v12i2.1219810Analisa Berat Bersih Daging Serta Ciri-Ciri Sapi Normal dan Glongongan Menggunakan Sistem Pakar dengan Metode Case Based Reasoning (CBR) Berbasis AndroidLukman Effendi0Deden Mauli Darajat1Sri Lestari2Universitas Darussalam GontorUniversitas Darussalam GontorUPTD Puskeswan Purwantoro WonogiriMeat needs, especially beef, are increasingly increasing, because human awareness of the importance of nutritional needs derived from animal meat. The high demand for beef needs has resulted in farmers and cattle traders trying to sell as many animals as possible. Farmers and cattle traders in Indonesia are still largely unprofessional. For the sake of getting a lot of profit, it was time to takeaction that harmed cattle and consumers. One such action is to sell “glonggongan” meat which is to increase the mass / weight of beef by giving excessive drinking water before the cow is cut. One way to overcome this action is to provide information to buyers through a net weight analysis system for normal beef and glonggings using an expert system with case-based reasoning. The research will be carried out starting from the collection of data from normal and glaucous cows by looking at the body  weight, gender, upper-lower cows circumference of the abdomen, side of the cow's overall body  circumference, height, leg height, head length, butt width, body length cow. In obtaining output with a 95% truth value, the base of the case stored in the database is at least 150 cases. All input variables will be analyzed and matched on a case basis using an expert system with CBR (case-based reasoning) methodhttp://journal.umpo.ac.id/index.php/multitek/article/view/1219case-based reasoning, glonggongan, sistem pakar
spellingShingle Lukman Effendi
Deden Mauli Darajat
Sri Lestari
Analisa Berat Bersih Daging Serta Ciri-Ciri Sapi Normal dan Glongongan Menggunakan Sistem Pakar dengan Metode Case Based Reasoning (CBR) Berbasis Android
Multitek Indonesia
case-based reasoning, glonggongan, sistem pakar
title Analisa Berat Bersih Daging Serta Ciri-Ciri Sapi Normal dan Glongongan Menggunakan Sistem Pakar dengan Metode Case Based Reasoning (CBR) Berbasis Android
title_full Analisa Berat Bersih Daging Serta Ciri-Ciri Sapi Normal dan Glongongan Menggunakan Sistem Pakar dengan Metode Case Based Reasoning (CBR) Berbasis Android
title_fullStr Analisa Berat Bersih Daging Serta Ciri-Ciri Sapi Normal dan Glongongan Menggunakan Sistem Pakar dengan Metode Case Based Reasoning (CBR) Berbasis Android
title_full_unstemmed Analisa Berat Bersih Daging Serta Ciri-Ciri Sapi Normal dan Glongongan Menggunakan Sistem Pakar dengan Metode Case Based Reasoning (CBR) Berbasis Android
title_short Analisa Berat Bersih Daging Serta Ciri-Ciri Sapi Normal dan Glongongan Menggunakan Sistem Pakar dengan Metode Case Based Reasoning (CBR) Berbasis Android
title_sort analisa berat bersih daging serta ciri ciri sapi normal dan glongongan menggunakan sistem pakar dengan metode case based reasoning cbr berbasis android
topic case-based reasoning, glonggongan, sistem pakar
url http://journal.umpo.ac.id/index.php/multitek/article/view/1219
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AT dedenmaulidarajat analisaberatbersihdagingsertaciricirisapinormaldanglongonganmenggunakansistempakardenganmetodecasebasedreasoningcbrberbasisandroid
AT srilestari analisaberatbersihdagingsertaciricirisapinormaldanglongonganmenggunakansistempakardenganmetodecasebasedreasoningcbrberbasisandroid