Rancang Bangun Monitoring Data Agunan Perbankan Menggunakan RFID Secara Realtime

iklil ; mokhamad ; iklil ; mokhamad

Jurnal Elektronika dan Komputer 📅 2024 Vol 17, No 2 🔗 DOI: 10.51903/elkom.v17i2.2130

Abstract

The aim of the research is to build a monitoring system prototype that can provide notifications in the system for collateral items that are lost or out of range within the monitoring distance of the RFID reader. so that each officer can know when the item is lost or out of reach based on the time recorded in the monitoring system. This is different from CCTV AI which can only record overall conditions and movements, but does not provide notification of loss or removal of collateral from the range of the RFID reader.
Keywords: Collateral Goods, Reader RFID, Tag RFID, Cctv AI, Notification

Keywords

Reader RFID; Tag RFID; Cctv AI; Notificatio; Collateral Goods

How to Cite

iklil, et al. (2024). Rancang Bangun Monitoring Data Agunan Perbankan Menggunakan RFID Secara Realtime. Jurnal Elektronika dan Komputer, 17(2). https://doi.org/10.51903/elkom.v17i2.2130

iklil, mokhamad; iklil, mokhamad, "Rancang Bangun Monitoring Data Agunan Perbankan Menggunakan RFID Secara Realtime," Jurnal Elektronika dan Komputer, vol. 17, no. 2, 2024.

iklil, mokhamad; iklil, mokhamad. "Rancang Bangun Monitoring Data Agunan Perbankan Menggunakan RFID Secara Realtime." Jurnal Elektronika dan Komputer, vol. 17, no. 2, 2024.

iklil, mokhamad; iklil, mokhamad. "Rancang Bangun Monitoring Data Agunan Perbankan Menggunakan RFID Secara Realtime." Jurnal Elektronika dan Komputer 17, no. 2 (2024).

iklil, et al. (2024) 'Rancang Bangun Monitoring Data Agunan Perbankan Menggunakan RFID Secara Realtime', Jurnal Elektronika dan Komputer, 17(2). doi: 10.51903/elkom.v17i2.2130.

iklil, mokhamad; iklil, mokhamad. Rancang Bangun Monitoring Data Agunan Perbankan Menggunakan RFID Secara Realtime. Jurnal Elektronika dan Komputer. 2024;17(2).

Analisis Kinerja Metode Long Short-Term Memory (LSTM) dalam Klasifikasi Sentimen Ulasan Pengguna Shopee

Muhimatul Ifadah; Muhimatul Ifadah; Bambang Irawan

Klasifikasi Jenis Bunga Menggunakan Algoritma Convolutional Neural Network (CNN)

Ade Irgi Firdaus; Ade Irgi Firdaus; Dwi Okta Djoas; Riefaldi Diofano Saputra; Indry Anggraeny; Hilda Apriliya Ningsih

Prediksi Harga Saham Menggunakan ARIMA Outlier sebagai Pendekatan Awal Menuju Analisis AI Keuangan

Adam, Cindi; Adam, Cindi; Idhom, Mohammad; Trimono, Trimono

Analisis Performansi Pendekatan Machine Learning Pada Deteksi Penyakit Daun Tanaman Kopi

Purnomo, Rosyana Fitria; Purnomo, Rosyana Fitria; Yodhi Yuniarthe; Hilda Dwi Yunita; Fatimah Fahurian; Ahmad Ikhwan

Hybrid Apriori–MST Framework for Revealing the Structural Backbone of Consumer Purchase Patterns

Marta Dinata, Riadi; Kurniawan Atmadja; Marhaeni Mahaeni; Lely Mustika

Rancang Bangun Antena Mikrostrip Patch Triangular Pada Frekuensi 1800 Mhz Sebagai Penguat Jaringan Internet Di Kebun Raya Balikpapan

Nurmeiliana Putri; Maria Ulfah; Fathur Zaini Rachman; Maria Ulfah

Tren Sitasi Jurnal