Classification of the Quality of Milk Using Spectrophotometer System Based on Raspberry Pi

Muhammad Rivai, Fajar Budiman, Suwito, Muhammad Bintang Gemintang, Harris Pirngadi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Dairy cow milk is a beverage that is often consumed by many people. The quality of milk for dairy cows needs to be maintained because milk naturally experiences relatively rapid decay. Protein content can be used as a parameter used to determine the quality of milk. One method used to analyze protein content of milk is by using a spectrophotometer. Technically, a spectrophotometer in a laboratory serves to measure the transmittance or absorbance of a sample expressed in a wavelength function. The wavelength of a sample varies according to the color of the spectrum used. To test protein content, a biuret spectrophotometry method is used which produces purple in the sample, so that the wavelength with the highest absorbance value is found in the range of 525 nm. The absorbance value of the tested samples of dairy cow milk shows the quantity of protein content. The spectrophotometer system is designed using image processing based methods equipped with Raspberry Pi. Tests were carried out by comparing protein content between standard laboratory spectrophotometers and proposed Raspberry Pi based spectrophotometers. The comparison results obtained from Raspberry Pi based spectrophotometer tests have an average error of 2.366%. The classification of the quality of milk for dairy cows produces 3 levels of classification, namely milk for dairy cows with a protein content of 0% - 2.5% indicating low quality, 2.51% - 7.38% indicating medium quality and 7.39% - 9.63% indicating high quality.

Original languageEnglish
Title of host publicationProceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-67
Number of pages7
ISBN (Electronic)9781728137490
DOIs
Publication statusPublished - Aug 2019
Event2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019 - Surabaya, Indonesia
Duration: 28 Aug 201929 Aug 2019

Publication series

NameProceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019

Conference

Conference2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
Country/TerritoryIndonesia
CitySurabaya
Period28/08/1929/08/19

Keywords

  • Dairy Cow Milk
  • Protein
  • Raspberry Pi
  • Spectrophotometer

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