Article Per Year (5 Year)
p-Index From 2020 - 2025
0.817
P-Index
This Author published in this journals
All Journal JOURNAL OF ICT APLICATIONS AND SYSTEM Jurnal Informatika Polinema (JIP) Journal of Science and Social Development
Aris Sudaryanto
Unknown Affiliation
Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Web Company Profile CV. Priyandra Inarya Cipta: Develop a website company profile Agung Kridoyono; Aris Sudaryanto
Journal of Science and Social Development Vol. 4 No. 1 (2021): Journal of Science and Social Development
Publisher : Universitas Nahdlatul Ulama Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jossd.v4i1.405

Abstract

This article is a journal devotion for society that doing by educational institution especially us as a lecture to implement the threefold missions of higher education known as tridarma college. We develop a website company profile at public business that did not have the web company profile, the name of the corporate is Priyandra Kinarya Cipta which location is 10mil from the location of our institutional college. So we make a website company profile and the component in order to this company can be known by electronic media. Hopefully this role for the company to commerce the product and the business.   Keywords: web site company profile, electronic media    
Pengembangan Jaringan Internet Sebagai Pendukung Sarana Belajar Dari Rumah Di Desa Karang Widoro Kabupaten Malang : Pengembangan Jaringan Internet Sebagai Pendukung Sarana Belajar Agung Kridoyono; Aris Sudaryanto
Journal of Science and Social Development Vol. 5 No. 1 (2022): Journal of Science and Social Development
Publisher : Universitas Nahdlatul Ulama Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jossd.v5i1.600

Abstract

This article is a journal devotion for society that doing by educational institution especially us as a lecture to implement the threefold missions of higher education known as tridarma college. We develop a model internet network to extend internet area network as a supporting infrastructure online learning. The network that developed are the network that implemented from village hall to extend area internet area network in a densely populated student area with the wire and wireless extend network. hopefully the student have easily in online learning and more focus studying because the network had an access list website can allow operated in this network. At the end of activity, the network can help the parents of student that have a problem to provide internet for the student.
Analytics of ESPCam on Arduino-Based Automatic Clothesline Protectors Agung Kridoyono; Aris Sudaryanto; Dimas Sasongko; Akhmad Dicky Harianto
Jurnal Informatika Polinema Vol. 9 No. 1 (2022): Vol 9 No 1 (2022)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v9i1.965

Abstract

The ability to recognize weather conditions, such as rain or heat, is a main feature of the automatic clothesline. In previous research we developed an automatic clothesline that can recognize weather conditions using rain sensors and LDR with a success rate of 80% (Dicky et al. 2022). To be more convincing, in this research we added ESPCam to be able to see clothes and the weather visually, so that users can ascertain the weather conditions. This research focuses on implement ESPCam to the automatic clothesline system and testing its reliability. With ESPCam, users can view streaming, store visual image data, and turn on or off the flash LED. System testing is done by sending a command to turn on streaming on the system, followed by a command to turn on or turn off the flash LED. Based on the test data, the success rate of ESPCam used in the system reached 96.665%.
Explainable Transformer-Based Object Detection for Autonomous Systems under Adversarial and Low-Light Conditions Elyandri Prasiwiningrum; Aris Sudaryanto
Journal of ICT Applications System Vol 4 No 2 (2025): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56313/jictas.v4i2.444

Abstract

Recent advancements in object detection have demonstrated remarkable performance in autonomous systems; however, most deep learning models still suffer significant accuracy degradation under low-light or adversarial conditions. This study proposes an Explainable Transformer-Based Object Detection (ETOD) framework that integrates Vision Transformer (ViT) architecture with Explainable Artificial Intelligence (XAI) mechanisms to achieve robust and interpretable object detection in adverse environments. The proposed ETOD model employs a dual-branch structure: (i) a low-light enhancement module that uses contrastive illumination normalization to recover critical features, and (ii) a transformer-based detection head optimized for global contextual reasoning. To ensure explainability, Grad-CAM and attention visualization maps are incorporated to highlight the model’s focus regions, providing interpretive insights for human operators and safety auditors. Experimental evaluation was conducted using benchmark datasets (ExDark, BDD100K-Night, and COCO-Adversarial) with simulated adversarial perturbations and low-illumination conditions. The proposed ETOD achieved a 12.8% improvement in mAP over standard DETR and 17.5% higher robustness against adversarial attacks while maintaining real- time inference on edge GPUs. Qualitative analysis demonstrates that the explainability module provides clear visual cues that correlate strongly with detected object boundaries. The findings suggest that integrating transformer- based detection with explainable reasoning mechanisms offers a promising pathway for trustworthy and safety-critical perception systems in autonomous vehicles and drones
Co-Authors Akhmad Dicky Harianto Dimas Sasongko Elyandri Prasiwiningrum Kridoyono, Agung