PENGANALISIS KESEGARAN DAGING SAPI DAN DAGING BABI MENTAH BERDASARKAN KLASIFIKASI WARNA DAN KELEMBABAN

There are many frauds involving the trade of beef. Traders do the fraud by replacing the beef it sells with pork. Also, the lack of consumer knowledge of the difference between beef and pork make these traders unscrupulous. Because we research by designing and creating systems that can identify and...

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Autores principales: Nadya Ayu Nafiasari, Ariesta Martiningtyas Handayani
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Publicado: Universitas Gadjah Mada 2019
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Acceso en línea:https://doaj.org/article/4958c87255d24fae8df2697fe3d10a51
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spelling oai:doaj.org-article:4958c87255d24fae8df2697fe3d10a512021-11-14T03:34:21ZPENGANALISIS KESEGARAN DAGING SAPI DAN DAGING BABI MENTAH BERDASARKAN KLASIFIKASI WARNA DAN KELEMBABAN2089-61312443-131110.22146/teknosains.35643https://doaj.org/article/4958c87255d24fae8df2697fe3d10a512019-01-01T00:00:00Zhttps://jurnal.ugm.ac.id/teknosains/article/view/35643https://doaj.org/toc/2089-6131https://doaj.org/toc/2443-1311There are many frauds involving the trade of beef. Traders do the fraud by replacing the beef it sells with pork. Also, the lack of consumer knowledge of the difference between beef and pork make these traders unscrupulous. Because we research by designing and creating systems that can identify and analyze the freshness of beef and pork. This system uses a color sensor as a color identifier in meat and humidity sensors to measure the level of freshness of meat. Also used is also a microcontroller as an acquirer and data processor. This system is designed to distinguish between beef and pork. This study involved data collection on beef and pork as much as 420 data. These data have shown that this system has an accuracy of 79%, 80%, 80%, 83%, 77% and 81% in identifying fresh beef, fresh pork, less fresh beef, less fresh pork, the cow is not fresh, and the pork is not fresh in sequence. This system is portable because it can be taken anywhere with a battery that supplies the power of this tool. With this system, consumers can distinguish between beef and pork and can know the level of freshness in each meat.Nadya Ayu NafiasariAriesta Martiningtyas HandayaniUniversitas Gadjah Madaarticlecolor sensorhumidity sensorportablemicrocontrollerfreshnessTechnologyTTechnology (General)T1-995ScienceQScience (General)Q1-390ENIDJurnal Teknosains: Jurnal Ilmiah Sains dan Teknologi, Vol 8, Iss 1, Pp 66-74 (2019)
institution DOAJ
collection DOAJ
language EN
ID
topic color sensor
humidity sensor
portable
microcontroller
freshness
Technology
T
Technology (General)
T1-995
Science
Q
Science (General)
Q1-390
spellingShingle color sensor
humidity sensor
portable
microcontroller
freshness
Technology
T
Technology (General)
T1-995
Science
Q
Science (General)
Q1-390
Nadya Ayu Nafiasari
Ariesta Martiningtyas Handayani
PENGANALISIS KESEGARAN DAGING SAPI DAN DAGING BABI MENTAH BERDASARKAN KLASIFIKASI WARNA DAN KELEMBABAN
description There are many frauds involving the trade of beef. Traders do the fraud by replacing the beef it sells with pork. Also, the lack of consumer knowledge of the difference between beef and pork make these traders unscrupulous. Because we research by designing and creating systems that can identify and analyze the freshness of beef and pork. This system uses a color sensor as a color identifier in meat and humidity sensors to measure the level of freshness of meat. Also used is also a microcontroller as an acquirer and data processor. This system is designed to distinguish between beef and pork. This study involved data collection on beef and pork as much as 420 data. These data have shown that this system has an accuracy of 79%, 80%, 80%, 83%, 77% and 81% in identifying fresh beef, fresh pork, less fresh beef, less fresh pork, the cow is not fresh, and the pork is not fresh in sequence. This system is portable because it can be taken anywhere with a battery that supplies the power of this tool. With this system, consumers can distinguish between beef and pork and can know the level of freshness in each meat.
format article
author Nadya Ayu Nafiasari
Ariesta Martiningtyas Handayani
author_facet Nadya Ayu Nafiasari
Ariesta Martiningtyas Handayani
author_sort Nadya Ayu Nafiasari
title PENGANALISIS KESEGARAN DAGING SAPI DAN DAGING BABI MENTAH BERDASARKAN KLASIFIKASI WARNA DAN KELEMBABAN
title_short PENGANALISIS KESEGARAN DAGING SAPI DAN DAGING BABI MENTAH BERDASARKAN KLASIFIKASI WARNA DAN KELEMBABAN
title_full PENGANALISIS KESEGARAN DAGING SAPI DAN DAGING BABI MENTAH BERDASARKAN KLASIFIKASI WARNA DAN KELEMBABAN
title_fullStr PENGANALISIS KESEGARAN DAGING SAPI DAN DAGING BABI MENTAH BERDASARKAN KLASIFIKASI WARNA DAN KELEMBABAN
title_full_unstemmed PENGANALISIS KESEGARAN DAGING SAPI DAN DAGING BABI MENTAH BERDASARKAN KLASIFIKASI WARNA DAN KELEMBABAN
title_sort penganalisis kesegaran daging sapi dan daging babi mentah berdasarkan klasifikasi warna dan kelembaban
publisher Universitas Gadjah Mada
publishDate 2019
url https://doaj.org/article/4958c87255d24fae8df2697fe3d10a51
work_keys_str_mv AT nadyaayunafiasari penganalisiskesegarandagingsapidandagingbabimentahberdasarkanklasifikasiwarnadankelembaban
AT ariestamartiningtyashandayani penganalisiskesegarandagingsapidandagingbabimentahberdasarkanklasifikasiwarnadankelembaban
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