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All Journal Infotekmesin G-Tech : Jurnal Teknologi Terapan Jurnal Fortech
Diki Okiandri
Politeknik Unisma Malang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Sistem Penstabil Tegangan dalam Manajemen Generator Set Dwi Ratna Aprilia; Ana Nuril Achadiyah; Diki Okiandri
Jurnal FORTECH Vol. 1 No. 2 (2020): jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (947.567 KB) | DOI: 10.32492/fortech.v1i2.230

Abstract

The distribution of electrical energy from the power plant is not always available all the time. This is due to disturbances that occur in the power plant, transmission line and distribution channel. So that consumers who need electrical energy guarantees always need a backup source of electrical energy, in this case a generator set that has sufficient capacity to bear all the required loads. However, the generator set as backup energy will cause the voltage to become unstable. To find out how stable the reserve energy voltage is, a voltage stabilizer system is needed. This research produces a Voltage Stabilizer using a frequency sensor. The voltage stabilizer uses the ZMPT101B voltage sensor. When the main supply (PLN) is interrupted or disconnected, this sensor will give a signal to Arduino, and Arduino will command the Generator set to start. This change is also controlled using an Automatic Transfer Switch (ATS) and can be observed from the frequency value monitored by Delphy and results in an acquired frequency of 0.08 Hz and is able to detect changes in frequency of less than 1 Hz.
RANCANG BANGUN SISTEM KONTROL ARDUINO PADA GERBANG OTOMATIS MENGGUNAKAN RFID Diki Okiandri; Syarifuddin Syarifuddin
G-Tech: Jurnal Teknologi Terapan Vol 4 No 2 (2021): G-Tech, Vol. 4, No. 2, April 2021
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (153.652 KB) | DOI: 10.33379/gtech.v4i2.643

Abstract

Penelitian ini difokuskan untuk mengembangkan sebuah sistem kendali buka-tutup gerbang menggunakan RFID (Radio Frequency Identification). Sistem ini akan bekerja setelah sensor RFID mendeteksi tag card yang dihadapkan, yang secara otomatis akan membaca tag card untuk membuka membuka pintu gerbang yang berupa piston pneumatik. Metode penelitian yang digunakan adalah prototyping. Sistem program ini dapat melaksanakan tugasnya berdasarkan yang terdapat di dalamnya seperti yang dilakukan manusia. Pada pengujian tegangan dari catu daya sewaktu belum dibebani kerja alat adalah 12,5 volt. Ketika gerbang dalam kondisi sedang membuka, tegangan turun menjadi 12,1 volt. Ketika semua komponen peralatan sedang bekerja, tegangan turun menjadi 11,8 volt. Penurunan tegangan menandakan bahwa sistem masih mampu bekerja dengan baik. Hasil dari perancangan sistem tersebut adalah suatu miniatur pintu gerbang yang dapat dikendalikan dengan RFID dengan bantuan papan mikrokontroler Arduino UNO (ATmega328) yang bekerja dengan tegangan 5 VDC dan 12 VDC.
Optimalisasi Sistem Pelanggaraan Lalu lintas Kendaraan Besar Menggunakan Algoritma Mobilnet-SSD dan Pengolahan Citra K-Nearest Neighbors (KNN) Diki Okiandri; Novta Danyel Irawan; Yusriel Ardian; Shafiq Nurdin; Muhammad Urfun Nuurrazzaq Siswoko
Infotekmesin Vol 16 No 2 (2025): Infotekmesin: Juli 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i2.2743

Abstract

This study is motivated by the high rate of traffic violations involving large vehicles such as trucks and buses, particularly on city protocol roads where these types of vehicles are prohibited. Most existing e-ticketing (e-Tilang) systems are still unable to automatically detect large vehicles in real-time and simultaneously read their license plates accurately. This limitation represents a research gap that this study aims to address. The objective of this research is to develop an integrated system that automatically detects violations committed by large vehicles and reads their license plates. The system employs the MobileNet-SSD algorithm for detecting large vehicles from traffic video data and applies the K-Nearest Neighbors (KNN) method for license plate character recognition. Based on tests conducted on five traffic videos under various conditions (morning, afternoon, night), the system achieved a detection accuracy of 90% for large vehicles and an 80% accuracy in license plate recognition. The system performed optimally during daylight hours but showed reduced accuracy at night due to limited lighting conditions. The integration of these two methods has proven to be effective and feasible for real-time law enforcement systems, especially in areas with limited computational resources.
Co-Authors Dwi Ratna Aprilia Muhammad Urfun Nuurrazzaq Siswoko Novta Danyel Irawan Shafiq Nurdin Syarifuddin Syarifuddin Yusriel Ardian