Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Zonasi: Jurnal Sistem Informasi INOVTEK Polbeng - Seri Informatika
Jaroji
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Environmental Science Languange, Linguistic, Communication & Media

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

Found 3 Documents
Search

 1 
APLIKASI SISTEM PEMESANAN JASA LAUNDRY (E-LAUNDRY) BERBASIS ANDROID mulyadi, bohati; Jaroji; t, Agus
ZONAsi: Jurnal Sistem Informasi Vol 1 No 1 (2019): ZONAsi: Jurnal Sistem Informasi
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v1i1.2386

Abstract

Usaha laundry merupakan salah satu bisnis dibidang jasa cuci dan setrika pakaian, usaha ini memiliki perputaran yang cepat atau rentang waktu permintaan pelanggan antara permintaan pertama dan permintaan selanjutnya pada jasa ini yang memakan waktu relatif singkat. Lebih jelasnya, pelanggan akan kembali menggunakan jasa ini ketika pakaian yang dikenakan sudah kotor. Pada era digital saat ini penerapan teknologi pada sebuah usaha laundry juga sudah diterapkan. Banyak startup-startup yang berjalan pada bisnis laundry, namun seiring nya kemajuan teknologi diharapan munculnya sebuah inovasi terbaru. Aplikasi sistem pemesanan jasa laundry (E-Laundry) berbasis android dapat dijadikan sebagai salah satu inovasi bisnis dalam usaha laundry. Dimana pada aplikasi ini menjadi suatu pusat berkumpulnya para pelaku laundry dan dapat melakukan pemesanan secara online dengan melibatkan teknologi Location Based Service (LBS). LBS pada aplikasi ini digunakan sebagai peletakan titik kordinat dari posisi para pelaku laundry yang berada disekitar konsumen berdasarkan peta pada google maps. Aplikasi ini juga dapat bertaransaksi secara digital menggunakan saldo  pada aplikasi dengan melakukan scan Qr Code, selanjutnya saldo pelaku laundry akan terisi sesuai dengan tagihan. Aplikasi ini dibangun menggunakan Android Studio dan MySQL sebagai databasenya.
A Survey of DDS Implementation in Edge and Fog Computing Jaroji; Danuri
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/8yrnv534

Abstract

This survey investigates the application of the Data Distribution Service (DDS) within the domains of edge and fog computing architectures. DDS, a middleware architecture conceived by the Object Management Group (OMG), offers robust publish-subscribe functionalities characterized by low latency, high reliability, and scalability attributes, rendering it particularly suitable for real-time data dissemination in distributed systems. The paradigms of edge and fog computing, recognized for their capability to process data in proximity to its origin, leverage the functionalities of DDS to tackle issues such as latency minimization, bandwidth enhancement, and resource efficiency. The research meticulously evaluates the significance of DDS in facilitating scalable and reliable communication for applications spanning industrial automation, healthcare, and smart urban environments. It delineates pivotal implementation obstacles, including resource limitations, interoperability challenges, and security concerns within decentralized frameworks. Mitigation strategies such as lightweight DDS protocols, adaptive Quality of Service (QoS) policies, and artificial intelligence-driven optimizations are underscored to address these constraints. Employing PRISMA guidelines, a total of 16 peer-reviewed studies were scrutinized to respond to research inquiries centered on the role of DDS in edge and fog computing, associated technical hurdles, implications for QoS, and emergent trends. The results underscore the capacity of DDS to converge with cutting-edge tech-nologies such as 5G, blockchain, and digital twins, thereby influencing the evolution of intelligent distributed systems. This survey enhances the existing comprehension of DDS's transformative capabilities within contemporary computing architectures, offering valuable insights into best practices and prospective avenues for the optimization of edge and fog computing environments.
Design of an Intelligent Vehicle Manifest Recording System at the Bengkalis-Sungai Pakning Ro-Ro Ferry Crossing Based on Deep Learning and Optical Character Recognition Jaroji; Danuri; Tedyyana, Agus
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/894v9b70

Abstract

Vehicle manifest recording in Ro-Ro ferry services is still predominantly conducted manually, which may lead to operational inefficiencies and data inconsistencies. This study presents an automated vehicle manifest recording system for the Bengkalis–Sungai Pakning Ro-Ro ferry crossing by leveraging deep learning and Optical Character Recognition (OCR) technologies. The proposed system utilizes CCTV or IP cameras to capture vehicle images, performs frame extraction from video streams, and applies YOLOv11 for real-time vehicle and license plate detection. The detected license plate regions are subsequently processed using an OCR module to extract textual vehicle identification information. The detection model was trained using a publicly available vehicle and license plate dataset. Experimental evaluation on the vehicle and license plate dataset shows that the YOLOv11 model achieves a precision of 85.9%, recall of 84.0%, and mAP@0.5 of 87.8% for vehicle and plate detection. OCR evaluation conducted on real operational test images indicates a recognition success rate of 57.5%, with an average confidence score of 0.63 for successfully recognized plates. Further analysis reveals that illumination level and plate scale (distance proxy) are the dominant factors affecting OCR performance, while tilt angle exhibits moderate influence. These results indicate that the proposed framework provides reliable visual detection performance and identifies critical environmental constraints that must be addressed for robust automated manifest deployment in Ro-Ro ferry environments.
Co-Authors Agus Tedyyana, Agus Danuri mulyadi, bohati t, Agus