Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal JURNAL TEKNIK KOLONI
Rendro, Dwi Bayu
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Sistem Pendukung Keputusan Pemilihan Siswa Penerima Bantuan Program Indonesia Pintar Menggunakan Metode Weighted Product Berbasis Website Wahyudi, Wildan; Rendro, Dwi Bayu
KOLONI Vol. 2 No. 2 (2023): JUNI 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v2i2.487

Abstract

The Smart Indonesia Program (PIP) is a government program that aims to help reduce costs for school-aged children who come from poor/vulnerable to poor families. The method of selecting recipients of PIP assistance carried out at SDN Sindangkarya 2 allows for human error to occur, causing the selection to not be objective. So it is necessary to build a decision support system using the Weighted Product method as an alternative solution, so that the selection process is on target and does not take up a lot of time. This system was designed using the Unified Modeling Language which consists of use case diagrams, activity diagrams, sequence diagrams and class diagrams. To develop this system using the Prototype method. This system was tested using the black box testing method. The process for selecting students who receive the Smart Indonesia Program consists of five criteria, namely report card grades, parent's income, number of parent's dependents, condition of being orphaned and possession of a Certificate of Inadequacy (SKTM) or Prosperous Family Card (KKS). This research produces a Decision Support System that can select students who receive assistance from the Smart Indonesia Program on target and minimize selection time. Keywords: Smart Indonesia Program, Decision Support System, Weighted Product
PROTOTIPE SISTEM PARKIR OTOMATIS  MENGGUNAKAN RFID DENGAN ARDUINO UNO Rendro, Dwi Bayu
Jurnal Teknik Vol 14, No 2 (2025): Juli - Desember 2025
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jt.v14i2.14644

Abstract

Parkir adalah keadaan tidak bergerak suatu kendaraan yang bersifat sementara karena ditinggalkan oleh pengemudinya. Di area parkir universitas serang raya sering terjadi kemacetan dalam memakirkan kendaraan di karenakan pengemudi mencari area kosong parkir sendiri sehingga sering sekali mobil yang akan parkir harus mengelilingi area parkir kampus terlebih dahulu dan itupun belum tentu dapat slot parkir yang kosong. Pada penelitian ini dirancang sebuah sistem parkir otomatis yang dapat mengoptimalkan sistem parkir secara otomatis pada perguruan tinggi universitas serang raya. Sistem ini diimplementasikan ke dalam Arduino Uno dengan menggunakan sensor RFId sebagai akses masuk menuju area parkir dan sensor inframerah obstacle sebagai penentu area parkir masih tersedia atau sudah penuh.Pada prototype sistem parkir otomatis berbasis RFId.menggunakan metode experiment dengan tujuan mampu mengatasi masalah dalam sistem parkir yang terjadi pada Universitas Serang Raya. Hasil penilitian penggunaan sensor RFId dan sensor inframerah pada sistem telah berhasil memberikan informasi area parkir yang masih tersedia dan mengontrol mobil yang akan parkir.  
Co-Authors Wahyudi, Wildan