Aditya Pradana
Universitas Padjadjaran

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Rancangan radio frequency identification (rfid) smart door lock system berbasis internet of things untuk manajemen membership fitness center Azhar Jauharul Umam; Deni Setiana; Aditya Pradana
Computer Science and Information Technology Vol 4 No 2 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i2.5126

Abstract

The Fitness Center is a sports facility that provides a variety of sports equipment. Typically, fitness centers offer membership packages to their visitors and manually check the membership status of visitors each time they come to the fitness center. This is the basic motivation for this research, to build a system where membership packages are automatically checked. The Internet of Things (IoT) facilitates fitness center owners in managing member data and controlling who is allowed to enter the fitness area. This research utilizes RFID technology with the MFRC522 module as an access control for the fitness room, and Raspberry Pi as a microprocessor to process RFID data using Python. Member data can be managed in a web-based application using the MERN stack, as it is a popular combination for modern web application development. The research method used is Research and Development, where extensive research is initially conducted on the requirements and design of this system. Then, the implementation process is carried out both from the application side and the devices used. The research resulted in an IoT-based smart door lock system that can automatically check the membership status of visitors using RFID technology as access control. This system is IoT-based, allowing member data to be managed anywhere through the application as long as the Raspberry Pi and the device running the application are connected to the internet. The response time of this device in processing data on RFID cards/tags is an average of 177,44ms from the 60 cards/tags tested. Based on these results, it can be concluded that the built RFID smart door lock system is functioning well.
SISTEM INFORMASI GEOGRAFIS UNTUK PERNIKAHAN USIA DINI MENGGUNAKAN SPATIAL ERROR MODEL (SEM) Mutia Karimah; Dhita Diana Dewi; Atje Setiawan Abdullah; Aditya Pradana; Nurul Qisthi
Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer Vol 6 No 1 (2024): April
Publisher : Program Studi Teknik Informatika Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/restikom.v6i1.316

Abstract

Pernikahan usia dini merupakan pernikahan yang dilakukan oleh salah satu pasangannya dikategorikan sebagai anak atau tidak memenuhi syarat batas usia dibawah 19 tahun. Menurut penelitian UNICEF, BPS dan PUSPAKA, akibat dari terjadinya pernikahan usia dini yang akan dialami anak yaitu kurang baiknya dari sisi kesehatan, sisi psikologis, sisi sosial dan sisi tumbuh kembang. Maka dari itu untuk mengurangi tingkat pernikahan usia dini dibuat sebuah aplikasi sistem informasi geografis berbasis web untuk memprediksi tingkat pernikahan usia dini di Kabupaten Kuningan agar dapat memfokuskan sosialisasi Perencanaan Usia Pernikahan (PUP) di daerah tertentu. Berdasarkan penelitian ini, analisis hasil prediksi pada tingkat pernikahan usia dini dengan menggunakan Spatial Error Model (SEM) diperoleh faktor yang paling mempengaruhi yaitu jumlah putus sekolah dasar (X2). Dengan menggunakan metode MAPE, akurasi yang berhasil didapatkan oleh model SEM sebesar 33,71 % dan nilai AIC sebesar 57,634. Dalam pengimplementasian berupa web, sistem informasi geografis ini menggunakan metode waterfall yang meliputi fase requirement and definition, fase system and software design, fase implementation and unit testing, fase integration and system testing, dan fase operation and maintenance. Pengembangan aplikasi berbasis web dengan menggunakan bahasa pemrograman PHP dan hasil uji aplikasi metode black box testing dengan kategori berhasil sebesar 98,81% dari 53 orang penguji.