Rancang Bangun Sistem Monitoring Solid Non Fat (Snf) Dan Fat Pada Milk Analyzer Susu Sapi

Kovka, Adam (2019) Rancang Bangun Sistem Monitoring Solid Non Fat (Snf) Dan Fat Pada Milk Analyzer Susu Sapi. Diploma thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pada tugas akhir ini telah dibuat alat pendeteksi kandungan FAT dan SNF pada susu yang menggunakan sensor LDR dan alat ukur lactometer yang diberi nama milk analyzer. Dengan bantuan cahaya LED, berkas cahaya yang melewati susu pada tabung akan disensing oleh LDR untuk menghasilkan nilai FAT sehingga menghasilkan nilai tegangan, nilai FAT didapatkan berdasar referensi nilai tegangan yang sudah ditentukan. Alat ukur laktometer dibaca secara manual sehingga mendapatkan nilai CLR, sehingga dari hasil pembacaan FAT dan CLR dapat dihasilkan nilai SNF melalui perumusan. Tujuan adanya tugas akhir ini diharapkan peternak sapi dapat memperhatikan kualitas susu yang beredar dipasaran agar dapat terjaga kandungannya. Dari hasil sampel susu ultramilk didapatkan pembacaan sensor LDR memiliki rata-rata nilai koreksi 0,10 pada pembacaan FAT 4%, nilai koreksi 0,24 pada pembacaan FAT 6% dan rata-rata koreksi 0,46 pada pembacaan 10%.
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In this final task has been created a FAT and SNF content detection tool in milk using LDR sensors and lactometer measuring instruments named Milk Analyzer. With the help of LED light, beam light that passes through milk on the tube will be disenned by LDR to produce FAT value resulting in the value of voltage, FAT value is obtained based on the reference of the specified voltage value. The Lacometer measuring instrument is read manually so that it gets the CLR value, so that from the FAT and CLR readings can result in the SNF value through the formulation. The purpose of this final task is expected that cattle farmers can pay attention to the quality of milk circulating in order to be protected. From the results of ultramilk milk samples obtained LDR sensor readings have an average correction value of 0.10 on the FAT readings 4%, correction value 0.24 on FAT readings 6% and average correction 0.46 at 10% readings.

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	FAT Susu, Monitoring, Sensor LDR
Subjects:	T Technology > T Technology (General) > T57.5 Data Processing
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	Kovka Adam
Date Deposited:	14 Aug 2026 05:34
Last Modified:	14 Aug 2026 05:34
URI:	http://repository.its.ac.id/id/eprint/70360

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