Ramadani, Dwi Cahya (2024) Sistem Klasifikasi Susu Sapi Berbasis IoT Dengan Menggunakan Pengukuran Massa Jenis dan pH Meter. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Susu sapi memiliki peran vital dalam memenuhi kebutuhan gizi manusia dengan kandungan nutrisi esensial seperti protein, lemak, vitamin, dan mineral. Peningkatan produksi susu sapi di Indonesia, terutama di Jawa Timur, menciptakan peluang dan tantangan dalam industri pengolahan susu Industri ini memerlukan bahan baku berkualitas tinggi, dan peternak menjadi mitra penting. Standar Nasional Indonesia menetapkan 15 parameter kualitas susu sapi, termasuk yang paling sering digunakan dalam praktik di lapangan adalah Berat Jenis dan pH. Kualitas susu yang baik vital untuk menjaga kualitas produk olahan, seperti susu siap minum (UHT). Meskipun demikian, ada tantangan terkait dengan adanya banyak praktik tindakan tidak terpuji yang bertujuan untuk mengakali berbagai parameter kualitas tersebut. Penelitian ini bertujuan untuk mengatasi masalah pengujian kualitas susu yang masih bersifat manual di Koperasi Agro Niaga, Desa Kemiri Kabupaten Malang. Proses pengujian dan pencatatan hasil pengujian yang saat ini masih dilakukan secara manual, menghadirkan risiko dan keterbatasan efisiensi. Oleh karena itu, penelitian ini mengusulkan sebuah perangkat otomatisasi untuk pengujian kualitas susu serta pencatatan hasilnya. Solusi ini diintegrasikan ke dalam aplikasi monitoring untuk mempermudah pemantauan. Masalah utama yang diatasi adalah proses manual yang melibatkan waktu dan upaya yang signifikan. Proses otomatisasi ini akan meningkatkan efisiensi keakuratan, dan dapat memberikan keuntungan signifikan bagi peternak dan koperasi susu. Dengan demikian, penelitian ini bertujuan memberikan kontribusi positif terhadap pengembangan industri susu dan kesejahteraan peternak.
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Cow's milk has a vital role in meeting human nutritional needs with essential nutritional content such as protein, fat, vitamins and minerals. The increase in cow's milk production in Indonesia, especially in East Java, creates opportunities and challenges in the milk processing industry. This industry requires high quality raw materials, and farmers are important partners. The Indonesian National Standard specifies 15 cow's milk quality parameters, including those most frequently used in field practice, namely Milk Density and pH. Good milk quality is vital for maintaining the quality of processed products, such as ready-to-drink (UHT) milk. However, there are challenges related to the existence of many inappropriate practices that aim to circumvent these various quality parameters. This research aims to overcome the problem of manual milk quality testing at the Agro Niaga Cooperative, Kemiri Village, Malang Regency. The testing process and recording of test results, which is currently still done manually, presents risks and limited efficiency. Therefore, this research proposes an automation device for testing milk quality and recording the results. This solution is integrated into monitoring applications to make monitoring easier. The main problem addressed was a manual process that involved significant time and effort. This automation process will increase accuracy efficiency, and can provide significant benefits for farmers and dairy cooperatives. Thus, this research aims to make a positive contribution to the development of the dairy industry and the welfare of farmers.
Item Type: | Thesis (Other) |
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Uncontrolled Keywords: | Susu Sapi, Berat Jenis, pH, Cow’s Milk, Density, pH |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.888 Web sites--Design. Web site development. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors |
Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Computer Engineering > 90243-(S1) Undergraduate Thesis |
Depositing User: | Dwi Cahya Ramadani |
Date Deposited: | 05 Aug 2024 05:42 |
Last Modified: | 05 Aug 2024 05:42 |
URI: | http://repository.its.ac.id/id/eprint/112474 |
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