Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Journal Research of Social Science, Economics, and Management Journal of Technology Informatics and Engineering
Arsito Ari Kuncoro
Universitas Sains dan Teknologi Komputer Semarang
Computer Science & IT Environmental Science

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

Found 2 Documents
Search

 1 
ADVANCED MALICIOUS SOFTWARE DETECTION USING DNN Sulartopo Sulartopo; Dani Sasmoko; Zaenal Mustofa; Arsito Ari Kuncoro
Journal of Technology Informatics and Engineering Vol 1 No 1 (2022): April: Journal of Technology Informatics and Engineering
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.144

Abstract

The special component of malicious software analysis is advanced malicious software analysis which implicates interested the main framework of malicious software that can be executed after executing it and aggressive malicious software investigation depend on inquisitive of the practice of malicious software after running it in a composed habitat. Advanced malicious software analysis is usually performed by contemporary anti-malicious software operating systems using signature-based analysis. The purpose of this research is to propose also decide a DNN for the progressive identification of portable files to study the features of portable executable malicious software to minimize the occurrence of distorted likeness when aware of advanced malicious software. The model proposed in this study is a NN with a Dropout model contrary to a resolution tree model to examine how well it performs in detecting real malicious PE files. Setup-skeptic methods are used to extract features from files. The dataset is used to train the proposed approach and measure outcomes by alternative common malicious software datasets. The results from this study illustrate that the use of simple DNNs to study PE vector elements is not only efficient but more fewer system comprehensive than the traditional interested disclosure approach. The model proposed in this study achieves an A-UC of ninety-nine point eight with ninety accurate specifics at one percent inaccurate specific on the R-OC curve. For shows that this model has the potential to complement or replace conventional anti-malicious software operating systems so for future research, it is proposed to implement this model practically.
Development of a Web-Based Vehicle Monitoring and Reporting Information System to Support Logistics Operations at PT. Shopee Express’s Ngaliyan Branch Zulvano Ardiansyah Widodo; Budi Hartono; Arsito Ari Kuncoro
Journal Research of Social Science, Economics, and Management Vol. 5 No. 10 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i10.1484

Abstract

This research aims to design and develop a Web-Based Vehicle Monitoring and Reporting Information System to support logistics operations at PT. Shopee Express Ngaliyan Branch. The main problem addressed in this research is the manual vehicle monitoring and travel reporting process, which may cause information delays, inaccurate data, and ineffective fleet supervision. This study applies a software engineering approach using the Waterfall system development method, consisting of requirement analysis, system design, implementation, testing, and maintenance stages. The system was developed as a web-based platform supported by a MySQL database and integrated with Google Maps API to display vehicle positions in real time. The results show that the developed system assists administrators in monitoring vehicle locations, managing driver and vehicle data, viewing travel histories, and generating operational reports automatically. In addition, drivers are able to update travel status, send location data, input travel reports, and upload delivery evidence through the system. System testing using Black Box Testing and User Acceptance Test indicates that the main features operate properly according to user needs. This system contributes to improving operational efficiency, data accuracy, driver performance transparency, and integrated fleet supervision. Therefore, the proposed system can serve as a practical digital solution for supporting logistics management and vehicle monitoring activities.
Co-Authors Budi Hartono Dani Sasmoko Sulartopo Sulartopo Zaenal Mustofa Zulvano Ardiansyah Widodo