SISTEM IDENTIFIKASI SAMPAH ANORGANIK BERBASIS IOT (Internet of Things) MENGGUNAKAN METODE SAW (Simple Additive Weighting)
Authors
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Anderias Eko Wijaya
Universitas Mandiri
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Febriana Nur Rokhman
Unversitas Mandiri
https://doi.org/10.47561/a.v16i2.249
This Abstract has been read 398 times
Abstract
Inorganic waste is one of the environmental issues that needs to be effectively managed. An Internet of Things (IoT)-based system using the Simple Additive Weighting (SAW) method is implemented to provide a solution for the more efficient management of inorganic waste. This system utilizes sensors connected to the IoT network to detect and identify the types of inorganic waste entering a specific area. The SAW method is employed to assign weights to each criterion applied in the identification process of inorganic waste, such as type, weight, and physical condition. The system assesses based on the predefined criteria weights, enabling high-accuracy categorization of inorganic waste. Identification results can be accessed in real-time through the IoT platform Thingspeak, allowing for quick monitoring and analysis. Implementing this system is expected to positively contribute to the management of inorganic waste, facilitating more efficient collection, categorization, and overall waste handling. Moreover, adopting IoT technology and the SAW method in this system is envisioned to provide sustainable solutions in waste management efforts to support environmental sustainability.
Keywords: Inorganic Waste, Simple Additive Weighting (SAW), Identification System
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References
Hayat, Hayat, and Hasan Zayadi. "Model Inovasi Pengelolaan Sampah Rumah Tangga." Jurnal Ketahanan Pangan, vol. 2, no. 2, 2018.
Bahrin, D., Anggraini, D., & Pertiwi, M. B. (2011). "Pengaruh Jenis Sampah, Komposisi Masukan dan Waktu Tinggal terhadap Komposisi Biogas dari Sampah Organik Pasar di Kota Palembang." Prosiding Seminar Nasional AVoER, ISBN: 979-587-395-4. Halaman 284.
Masri, M. "Penentuan Karyawan Terbaik Dengan Metode Simple Additive Weighting (Pdam Tirta Silaupiasa)." Journal of Electrical Technology (JET), vol. 1, no. 1, 2016.
A. E. Wijaya and R. B. S. Sukarni, "Sistem Monitoring Kualitas Air Mineral Berbasis Iot (Internet Of Things) Menggunakan Platform Node-Red Dan Metode Saw (Simple Additive Weighting)." JTIK, vol. 12, no. 2, pp. 96-106, Oct. 2019.
Arifin, Z., Fachrial, A., & Khairina, D. M. (2017). "SISTEM PENDUKUNG KEPUTUSAN PENENTUAN LOKASI PEMBUANGAN AKHIR SAMPAH KOTA SAMARINDA METODE SIMPLE ADITIVE WEIGHTING BERBASIS DESKTOP." Prosiding Seminar Ilmu Komputer dan Teknologi Informasi.
Hamdani, Dedy & Handayani, Elda & Risdianto, Eko. (2019). "Rancang Bangun Alat Pendeteksi Asap Rokok Dan Nyala Api Untuk Penanggulangan Kesehatan Dan Kebakaran Berbasis Arduino Uno Dan GSM SIM900A." JIF (Jurnal Ilmu Fisika). 11. 37-46. DOI: 10.25077/jif.11.1.37-46.2019.
Nusyirwan, Deny & Perdana, Prasetya. (2019). "PENYARINGAN AIR KERUH MENGGUNAKAN SENSOR LDR DAN BLUETOOTH HC-05 SEBAGAI MEDIA PENGONTROLAN GUNA MENINGKATKAN MUTU KEBERSIHAN AIR DI SEKOLAH." LOGISTA - Jurnal Ilmiah Pengabdian kepada Masyarakat. 3. DOI: 10.25077/logista.3.1.37-46.2019.
Steven Wongkar, Alicia A.E., Sinsuw, Xaverius Najoan, 2015, "Analisa Implementasi Jaringan Internet Dengan Menggabungkan Jaringan LAN Dan WLAN Di Desa Kawangkoan Bawah Wilayah Amurang II." Jurnal Teknik Elektro dan Komputer, Vol. 4 No. 6. DOI: https://doi.org/10.35793/jtek.v4i6.10400
Immersalab. (2018, 02 8). "PENGERTIAN PROXIMITY SENSOR, JENIS-JENIS, DAN PRINSIP KERJA." Retrieved from immersa-lab: https://www.immersa-lab.com/pengertian-proximity-sensor-jenis-jenis-dan-prinsip-kerja.htm
Loveri, T. (2017). "RANCANG BANGUN PENDETEKSI ASAP ROKOK MENGGUNAKAN SENSOR MQ 2 BERBASIS ARDUINO." JURNAL J – CLICK Jurnal Sistem Informasi Dan Manajemen Informatika.
Dharwiyanti , S., & Wahono , R. S. (2003). "Pengantar Unified Modeling (UML)." Kuliah Umum IlmuKomputer.Com.
