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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Format: | Article |
Language: | Indonesian |
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Universitas Muhammadiyah Ponorogo
2018-12-01
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Series: | Multitek Indonesia |
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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 |
first_indexed | 2024-12-12T06:40:30Z |
format | Article |
id | doaj.art-01745b9c910044a491235f8cdc5cbaae |
institution | Directory Open Access Journal |
issn | 1907-6223 2579-3497 |
language | Indonesian |
last_indexed | 2024-12-12T06:40:30Z |
publishDate | 2018-12-01 |
publisher | Universitas Muhammadiyah Ponorogo |
record_format | Article |
series | Multitek Indonesia |
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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