Defriko Christian Dewandhika
Jurusan Teknik Elektro, Universitas Diponegoro Semarang Jl. Prof. Sudharto, SH, Kampus UNDIP Tembalang, Semarang 50275, Indonesia

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

PEMANFAATAN RFID SEBAGAI TEKNOLOGI PENDUKUNG UNTUK PROTOTYPE SISTEM PEMILIHAN UMUM KEPALA (PEMILUKADA) DIGITAL Dewandhika, Defriko Christian; Darjat, Darjat; Christyono, Yuli
Transient: Jurnal Ilmiah Teknik Elektro TRANSIENT, VOL. 3, NO. 2, JUNI 2014
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.708 KB) | DOI: 10.14710/transient.3.2.187-194

Abstract

Abstrak Saat ini terdapat berbagai aplikasi dari kemajuan teknologi yang telah diciptakan dan menggantikan sistem konvesional. Salah satu contohnya adalah sistem RFID (Radio Frequency Identification). Sistem RFID kini telah banyak digunakan baik sebagai perangkat sistem keamanan ruangan, pembayaran biaya tol secara otomatis, dan daftar presensi harian di perkantoran maupun institusi pendidikan. Dengan adanya sistem RFID ini diharapkan seseorang dapat melakukan berbagai kegiatan secara lebih cepat, efektif, dan aman. Tugas Akhir ini bertujuan untuk membuat suatu sistem pemilihan umum kepala daerah dan wakil kepala daerah (pemilukada) secara digital sehingga dapat mengurangi pemakaian kertas dan mempercepat proses perhitungan suara. Dalam sistem ini, tag RFID digunakan sebagai kartu  calon pemilih tetap sebagai bukti bahwa yang bersangkutan memiliki hak untuk menggunakan hak pilihnya. Pengambilan suara dilakukan dengan memberikan klik di gambar yang disediakan pada layar monitor. Sedangkan untuk perhitungan suara hanya memerlukan waktu yang singkat. Data suara yang sudah terkumpul akan dikirimkan dari TPS ke kelurahan dan dari kelurahan ke KPU tanpa meggunakan kabel. Dari hasil pengujian pemanfaatan teknologi RFID sebagai prototype untuk sistem pemilukada digital secara keseluruhan sudah sesuai dengan algoritma yang diinginkan. Hanya tag/kartu yang sudah terdaftar pada kelurahan saja yang dapat menggunakan hak pilihnya. Hasil suara yang diambil juga dapat dikirimkan dan diterima dengan lengkap di tempat yang dituju. Kata kunci : RFID, reader, tag, pemilukada  Abstract Nowadays, various applications of the technology have been created to replace the conventional system. One of the emerging technology is RFID system (Radio Frequency Identification). RFID may be implemented for several applications such as security, automatic inventory detection or access control in the office area. RFID allows users to do activities in a quick, effective and more secured way. The aim of this final assignment is to build a digital election system that can reduce papers and count data faster than the conventional way. In this system, RFID tags are  used as a permanent voters card as a evidence that the person has the right to vote. The voting is done by giving a click on the image which are provided on the monitor screen. As for data calculation requires only  a short time. The data that has been collected will be sent from the voting station to the goverment  office then to the KPU office without using cables.  From the result of this testing the utilization of RFID technology as a prototype for a digital election system as a whole is in accordance with the desired algorithm. Only tags/cards that are already registered in the urban village office which can use their voting rights. Data which is taken can also be sent and received at the destination completely. Keywords: RFID, reader, tag, election
Optimasi Rute Penggantian Kwhmeter Pascabayar dengan K-Means dan Algoritma Genetika Dewandhika, Defriko Christian; Siswanto, Nurhadi
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 3 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i3.3244

Abstract

This research is driven by the need of PLN Distribution Main Unit to mitigate the extreme risk of high account balances on the 21st of each month, which can disrupt cash flow and financial performance. One mitigation strategy is replacing conventional kWh meters with Advanced Metering Infrastructure (AMI), or two-way meters, which allow remote disconnection. The purpose of this study is to prioritize customers for meter replacement based on limited material availability and to optimize replacement routes under restricted team resources. The method used involves the K-means algorithm for customer segmentation, validated by silhouette score, which resulted in six optimal clusters. Genetic algorithm was then applied to determine the most efficient routes based on distance and time. The results showed that the optimal route had a minimum total travel distance of 1,434.29 km and a total time of 18,868.58 minutes, using a population size of 50 chromosomes and 500 generations. This study is expected to offer an effective solution for improving operational efficiency and risk mitigation at PLN.
Optimasi Rute Penggantian Kwhmeter Pascabayar dengan K-Means dan Algoritma Genetika Dewandhika, Defriko Christian; Siswanto, Nurhadi
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 3 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i3.3244

Abstract

This research is driven by the need of PLN Distribution Main Unit to mitigate the extreme risk of high account balances on the 21st of each month, which can disrupt cash flow and financial performance. One mitigation strategy is replacing conventional kWh meters with Advanced Metering Infrastructure (AMI), or two-way meters, which allow remote disconnection. The purpose of this study is to prioritize customers for meter replacement based on limited material availability and to optimize replacement routes under restricted team resources. The method used involves the K-means algorithm for customer segmentation, validated by silhouette score, which resulted in six optimal clusters. Genetic algorithm was then applied to determine the most efficient routes based on distance and time. The results showed that the optimal route had a minimum total travel distance of 1,434.29 km and a total time of 18,868.58 minutes, using a population size of 50 chromosomes and 500 generations. This study is expected to offer an effective solution for improving operational efficiency and risk mitigation at PLN.