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All Journal Jurnal Teliska PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic INOVTEK Polbeng - Seri Informatika
Muhammad Zakuan Agung
Politeknik Negeri Sriwijaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Vehicle Class Prediction at Toll Gate Using Deep Learning Suci Lutfia Nisa; Sopian Soim; Muhammad Zakuan Agung
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9833

Abstract

In the era of digitalization and automation, efficiency in the traffic management system at toll gates is very important. One of the efforts to improve this efficiency is to develop an automatic vehicle class detection system using deep learning technology, especially Convolutional Neural Network (CNN). This research aims to design and implement a CNN model that can identify and classify the types of vehicles passing through toll gates. The model development process includes collecting and annotating vehicle image data, data pre-processing, and CNN model training and testing. The evaluation results show that the developed model can achieve an accuracy of about 96% in detecting vehicle classes, so it can be integrated with the toll gate system to increase the speed and accuracy in the vehicle classification process. Thus, this solution is expected to reduce the waiting time of toll users and improve operational efficiency.
SMARTBAND TRACKER UNTUK ANAK USIA DIBAWAH 6 TAHUN MENGGUNAKAN WEMOS D1 DENGAN MONITORING MELALUI SMARTPHONE Dhea Syafitri; Aryanti Aryanti; Muhammad Zakuan Agung
JURNAL TELISKA Vol 18 No III (2025): TELISKA November 2025
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17761317

Abstract

Smartband tracker is designed to monitor the child's location directly through the blynk application on the smartphone. To make this smartband requires several components, namely the Wemos D1 Mini as the brain center of the smartband control device, GPS is used to determine the position point of the child's whereabouts, the battery functions as a power supply so that the smartband can operate independently, the Battery Mangament System functions as a backup battery life and the Switch is used as an On / Off button. This tool works in a way, if the red LED flashes it means the GPS has obtained a coordinate point where the results can be seen in the blynk application which can display the location point of the child's whereabouts, displaying coordinate points such as latitude, longitude, and speed. In this study, testing was carried out at 5 location points. The results of the study showed that speed variations were greatly influenced by the duration and intensity of movement, not only by the distance traveled. High speed is recorded at short distances when fast movement occurs, namely point 1 to point 6, while low speed occurs even though the distance is long, when the movement is slow, namely at point 1 to point 5. After testing the tool, the results show that the smartband can work well and can determine the location point in real-time and the advantage of this tool is that it has a buzzer feature that can be turned on via the blynk application on the smartphone where this buzzer will make a sound when activated. Key words : Smartband, IoT, Wemos D1, GPS Tracker, Children, Smartphone, Monitoring
Analysis of Openwrt-Based X86 Router Performance in Bandwidth Management on Local Internet Network Faris Alqhaniyyu; Sopian Soim; Muhammad Zakuan Agung
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/h7m8mz76

Abstract

This research aims to analyze the performance of OpenWRT-based x86 routers in local network bandwidth management through the application of Quality of Service (QoS), traffic shaping, and rate limiting features based on NFTables. Testing was conducted directly on the local network of Muara Merang Village for two weeks using an x86 mini PC as the main router. Data was collected using Wireshark and Ping to measure throughput, latency, jitter, and packet loss parameters before and after QoS configuration. The results showed an increase in VoIP service throughput from 950 Kbps to 1,296 Kbps (±36% increase), latency dropped from 38 ms to 3 ms (±92% decrease), jitter from 18 ms to 6 ms, and packet loss reduced from 2.5% to 0%. While on 4K streaming services, throughput increased from 19 Mbps to 27 Mbps (±42% increase), latency dropped from 63 ms to 47 ms, and jitter from 55 ms to 47 ms, with total elimination of packet loss. This study makes a novel contribution by testing the effectiveness of QoS on x86 architecture-based OpenWRT in a local context that has rarely been objectified before, in contrast to previous studies that predominantly used ARM/MIPS architecture and small network scenarios. The findings reinforce the potential of combining OpenWRT and x86 devices as an adaptive and cost-effective networking solution for MSMEs, educational institutions, and digital communities in infrastructure-constrained regions.
Co-Authors Aryanti Aryanti Dhea Syafitri Faris Alqhaniyyu Sopian Soim, Sopian Suci Lutfia Nisa