MACHINE LEARNING PENGAMAN BRANKAS BERBASIS IoT MENGGUNAKAN METODE ALGORITMA NAIVE BAYES PADA PLATFORM THING SPEAK
Authors
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Timbo Faritcan Parlaungan Siallagan
STMIK Subang
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Muhammad Alghifari
Universitas Mandiri
https://doi.org/10.47561/a.v16i2.244
This Abstract has been read 290 times
Abstract
A safe is a tool used to store items, including money, jewelry, or other assets and securities. It is claimed to be simple but carries a high risk because it makes it easy for the safe to be broken into without the owner's knowledge. A household assistant (ART) with the initials HS stole a safe from inside her employer's house located in Taman Kedoya Permai, Kebon Jeruk, West Jakarta, "The safe contained securities documents, two house certificates, and several other documents," said Kebon Jeruk Police Chief Commissioner Slamet Riyadi in Jakarta. With this, the author developed by creating a tool entitled "Machine Learning for Safe Security Based on IoT (Internet of Things) Using the Naïve Bayes Algorithm Method on the ThingSpeak Platform" equipped with RFID as safe door access, SW-420 sensors to detect vibrations in the event of a forced break-in. , a Passive Infra Red sensor to detect movement by the user, and an HX-711 Load Cell sensor to measure the volume weight of the safe to obtain 4 parameters, then the data is processed using the Naïve Bayes algorithm. Naïve Bayes is a statistical grouping that can be used to predict the probability of class members. Naïve Bayes also has extreme accuracy and speed when applied to databases with big data.
Keywords: Safe, RFID, Naïve Bayes Algorithm
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A. Andriani, "Penerapan Algoritma C4.5 Pada Program Klasifikasi Mahasiswa Drop Out," 2012.
Anonim, "Modul GPS NEO6MV2," TOKOTEKNOLOGI An Electronic Campany, Mar. 24, 2020. [Online]. Available: http:/tokoteknologi.co.id/modul-gps-neo6mv2
D. Aprilla, "Belajar Data Mining Dengan RapidMiner," Jakarta, 2013.
D. Braun et al., "Object Oriented Analysis and Design Team," Kennesaw State University CSIS 4650, 2001.
Baktikominfo, "Pemahaman RFID," Apr. 19, 2019. [Online]. Available: https://www.baktikominfo.id/id/informasi/pengetahuan/sekilas_tentang_teknologi_rfid_alat_identifikasi_yang_banyak_dipakai_oleh_perusahaan-792
Berkahemasmulia.com, "Profil PT EOA," 2021. [Online]. Available: https://berkahemasmulia.com/
G. H. Cahyono, "Internet of Things," Forum Teknologi, pp. 35-41, 2016.
CloudHost, "Mengenal Apa itu Internet of Things (IoT) : Defenisi, Manfaat, Tujuan dan Cara Kerja," Mar. 22, 2020. [Online]. Available: https://idcloudhost.com/mengenal-apa-itu-internet-of-things-iot-defenisi-manfaat-tujuan-dan-cara-kerja/
Dephub, "Tinjauan Pelabuhan Patimban," Feb. 16, 2020. [Online]. Available: http:/dephub.go.id/post/tinjau-pelabuhan-patimban,-menhub-progres-pembangunan-sudah-sesuai-rencana
Diskominfo, "Profil Kabupaten Subang," Feb. 15, 2020. [Online]. Available: http://www.subang.go.id/profil
A. E. Wijaya and A. Irfan, "Sistem Cerdas Monitoring Kandang Kenari Berbasis Iot Dengan Algoritma C.45 Thingspeak," Jtik, vol. 15, no. 1, pp. 10-24, Dec. 2022.
S. Few, "Information Dashboard Design: The Effective Visual Communication of Data," O'Reilly Media, 2006.
L. Fu, "Neural Network In Computer Intelligence," Singapore: McGraw Hill, 1994.
Github, "NodeMcu," Apr. 28, 2020. [Online]. Available: https://github.com/nodemcu/nodemcu-devkit
F. Gorunescu, "Data Mining: Concepts, Model and Techniques," Berlin, Germany: Springer, 2011.
J. Han and M. Kamber, "Data Mining: Concepts and Techniques Tutorial," San Francisco: Morgan Kaufman Publisher, 2001.
