IMPLEMENTASI METODE SAW (SIMPLE ADDITIVE WEIGHTING) SEBAGAI PENDUKUNG KEPUTUSAN UNTUK REKOMENDASI HABITAT KELINCI BERBASIS IoT (INTERNET OF THINGS)

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https://doi.org/10.47561/a.v13i2.183
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Abstract

Rabbits are mammals from the family Leporidae (green plant eaters) which can be found in many parts of the earth. Rabbits are very susceptible to temperature changes. Temperature greatly affects the rabbit's body metabolism. The temperature ideal for rabbits is in the range of 60 – 650F or equal to 15.5 - 18.30C temperature is known as "comfort zone" for rabbits. The level of heat stress in rabbits is very high in the tropics thereby reducing rabbit productivity. With a system that researchers can make it easier to determine the suitable place to serve as a rabbit habitat with the Internet of Things system network, and reduce the failure rate in keeping rabbits as well as the implementation of the node-ed as a platform to display the results of the calculation method of the decision.

The system is applied using the SAW (Simple Additive Weight) ranking method or commonly called this weighted method by using three parameters including temperature; humidity; light. However, the data must go through a calculation that generates a value of each location then normalize to get a decision by the sum of the multiplication of normalization with weights.

Implementation Methods of SAW (Simple Additive weighting) as Decision Support Habitat For Rabbits Recommendation Based IoT (Internet Of Things) has been successfully applied. So that it can rank rabbit habitat locations based on parameters of temperature, humidity, light. However, although the system is built based on IOT but has not publicly accessible or still based on the localhost.

Keywords: Internet of Things (IoT), Node-Red, Rabbit, Simple Additive Weighting (SAW)

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References

R. Hustamin, Paduan Memelihara Kelinci Hias. Jakarta: Agromedia Pustaka, 2006.

T. P. Purnama, Temperatur Lingkungan Kelinci, Oktober 22, 2011. Accesed on: June 20, 2019. [online]. Available: https://rabbitries.wordpress.com/2011/10/22/temperatur-lingkungan-kelinci/.

Y. C. Rahardjo, B. Brahmantiyo, T. Murtisari, B. Wibowo, B. Juarini, and Yuniati, “Plasma Nutfah Kelinci sebagai Sumber Pangan Hewani dan Produk Lain Bermutu Tinggi”, Laporan Akhir Penelitian, Balai Penelitian Ternak, Badan Litbang Pertanian, Departemen Pertanian, 2004.

F. Manshur, M. Fakkih, Kelinci Domestik: Perawatan dan Pengobatan. Penerbit Nuansa, Bandung, 2010.

F. E. B. Hasibuan and B. J. Kolondam, “Interaksi Antara Mikrobiota Usus Dan Sistem Kekebalan Tubuh Manusia”, Jurnal Ilmiah Sains, vol.17, no.1, hal. 35-42, 2017.

E. Turban, Decision Support System and Expert System, United State: Prentice Hall International, 1995.

J. N. Usito, “Sistem Pendukung Keputusan Penilaian Proses Belajar Mengajar Menggunakan Metode Simple Additive Weighting (SAW)”, Tesis, Program Studi Magister Sistem Informasi, Universitas Diponegoro, 2013.

A. W. Burange, and H. D. Misalkar, “Review of Internet of Things in Development of Smart Cities with Data Management & Privacy”, Ghaziabad, India: IEEE, 2015.

Ariyanto, “Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Dengan Metode SAW (Simple Additive Weighting)”, Skripsi, Fakultas Sains dan Teknologi, UIN Sunan Kalijaga, 2012.

J. Simarmata, T. Limbong, M. Aritonang and S. Sriadhi, “Sistem Pendukung Keputusan Pemilihan Guru Bidang Studi Komputer Menggunakan Metode Simple Additive Weighting (SAW)”, Computer Engineering, Science and System Journal, vol.3, no.2, hal. 186, 2018.

D. A. Putri, “Penerapan Metode Fuzzy SAW Sebagai Pendukung Keputusan Pengangkatan Karyawan Tetap Perusahaan”, Techno Nusa Mandiri, vol.15 (2527-676X), hal. 31-36, 2018.

S. Mulyono, M. Qomaruddin, and M. S. Anwar, “Penggunaan Node-RED pada Sistem Monitoring dan Kontrol Green House berbasis Protokol MQTT”, Jurnal Transistor Elektro dan Informatika (Transistor EI) , vol.3, no.1, hal 31-44, 2018.

J. M. Tim, Develop with Node-RED, Retrieved from Intel Software Developer Zone: Mei 22, 2016. Accessed on: June 20, 2019. [online]. Available: https://software.intel.com/content/www/us/en/develop/documentation/gateway-getting-started-software-suite/top/connecting-to-cloud/connecting-to-microsoft-azure.html?wapkw=node%20red

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Published

2020-10-01

How to Cite

[1]
A. E. Wijaya and N. I. Iskandar, “IMPLEMENTASI METODE SAW (SIMPLE ADDITIVE WEIGHTING) SEBAGAI PENDUKUNG KEPUTUSAN UNTUK REKOMENDASI HABITAT KELINCI BERBASIS IoT (INTERNET OF THINGS)”, JTIK, vol. 13, no. 2, pp. 118-129, Oct. 2020.

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