Sistem monitoring identifikasi sapi pada peternak sapi potong di Kapupaten Sidoarjo

Rahmah, Shafira Aufi (2022) Sistem monitoring identifikasi sapi pada peternak sapi potong di Kapupaten Sidoarjo. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Permasalahan yang dialami peternak sapi potong di Kabupaten Sidoarjo yaitu sulit untuk mengidentifikasi sapi dan mendapatkan investor. Peternak cenderung tidak mendapatkan investor dikarenakan sering merasa dibohongi saat melakukan kerja sama untuk menanamkan modalnya karena kurangnya monitoring yang dilakukan oleh investor. Perancangan sistem monitoring identifikasi sapi yang diusungkan yaitu berupa QR Code yang akan dikalungkan pada leher sapi dan akan dipindai melalui aplikasi tauSAPI! yang hasilnya akan memunculkan identitas-identitas sapi. Pada interface investor terdapat fitur monitoring sapi yang nantinya dapat memantau perkembangan sapi yang sebelumnya datanya sudah diinputkan oleh peternak. Selain itu, pada aplikasi tauSAPI! juga terdapat fitur timbangan bobot sapi yang nantinya peternak dan investor dapat menimbang bobot sapi dengan memasukkan panjang badan dan lingkar dada sapi. Pada interface peternak terdapat beberapa fitur, yaitu berupa penjadwalan sapi serta tips dan trik merawat sapi. Validasi data dilakukan di Muntilan, Magelang, Jawa Tengah untuk memastikan kesesuaian hasil timbangan bobot sapi pada aplikasi dengan timbangan bobot sapi konvensional jenis kerangkeng, dengan rumus perhitungan menggunakan rumus Lambourne. Dari validasi data tersebut, didapatkan hasil analisis data validasi sapi yang menunjukkan bahwa rata-rata lingkar dada sapi adalah 200,4 cm, panjang badan 122,2 cm, bobot badan aktual 459,6 kg, bobot badan menggunakan rumus Lambourne 454,3 kg, dan persentase penyimpangan sebesar 0,011%.
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The problem experienced by beef cattle farmers in Sidoarjo Regency is the difficulty of identifying cattle and obtaining investors. Farmers tend not to attract investors because they often feel deceived when entering into investment partnerships due to the lack of monitoring conducted by investors. The proposed cattle identification monitoring system uses a QR Code attached around the cattle’s neck, which can be scanned through the tauSAPI! application. The scan results will display the identity of the cattle. On the investor interface, there is a cattle monitoring feature that allows investors to monitor the development of cattle based on data previously entered by the farmers. In addition, the tauSAPI! application also provides a cattle weighing feature, allowing both farmers and investors to estimate the cattle’s body weight by entering the body length and chest circumference. The farmer interface includes several features, namely cattle scheduling and tips and tricks for cattle care. Data validation was conducted in Muntilan, Magelang, Central Java, to verify the accuracy of the cattle weight estimation in the application against a conventional caged cattle weighing scale, using the Lambourne formula for the calculation. Based on the data validation, the analysis showed that the average chest circumference of the cattle was 200.4 cm, the average body length was 122.2 cm, the actual body weight was 459.6 kg, the body weight estimated using the Lambourne formula was 454.3 kg, and the percentage deviation was 0.011%.

Item Type:	Thesis (Other)
Additional Information:	629.895 Rah s-1
Uncontrolled Keywords:	Sistem Monitoring, Peternakan, QR Code, Android, Monitoring System, Farm, QR Code, Android
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ223.P76 Programmable controllers
Divisions:	Faculty of Architecture, Design, and Planning > Architecture > 23201-(S1) Undergraduate Thesis
Depositing User:	magang .
Date Deposited:	05 Oct 2026 01:32
Last Modified:	05 Oct 2026 01:32
URI:	http://repository.its.ac.id/id/eprint/145220

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