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Quality Of Service (QOS) Analysis on LTE Networks Time Division Duplex and Frequency Division Duplex Technology Aulia, Rizki; Chandra, Dikky; Mirza, Yulian; Nasrul; Dhino, Miro
International Journal of Wireless And Multimedia Communications Vol. 1 No. 2 (2024): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jowim.v1i2.22

Abstract

Quality of service is a method of measuring a network and attempts to define a characteristic used to provide good service. The increasing use of mobile technology has a rapid impact on the development of technology and information. These developments relate to the use of customized information and communication services in a direct, practical and effective manner. In response to these issues, researchers are interested in conducting research by looking at the parameters of Time Division Duplex (TDD) technology at a frequency of 2300 MHz and Frequency Division Duplex (FDD) at a frequency of 900 MHz on the download service. The results of quality of service measurements on LTE networks are carried out in real time in the field by comparing each QoS parameter against a predetermined path from the eNodeB point based on RSRP and SINR with different conditions. In both TDD and FDD technology. The effect of RSRP on Quality of Service parameters in each cell measured. One of them is PCI 328, when the RSRP condition is measured - 80 dBm, the throughput value is 9466.29 Kbps, latency 0.84 ms, jitter 0.028 ms and packet loss 0%. Conversely, when the RSRP condition is measured - 100 dBm, the throughput is 4084.16 Kbps, latency 1.68 ms, jitter 0.059 ms and packet loss 0.50%. Then the effect of SINR on Quality of Service parameters in 2 different modulations is seen in each cell measured. One of them is PCI 328, when the SINR condition is measured at 20 dBm, the throughput value is 9074.99 Kbps, latency 0.86 ms, jitter 0.034 ms and packet loss 0%. Conversely, when the SINR condition measured 12 dB then the throughput is 4239.58 Kbps, latency 0.88 ms, jitter 0.027 ms and packet loss 0.03%. Based on the results obtained the throughput value of LTE TDD has a better value on the download service and has a better throughput value.
The Implementation of SAW and BORDA Method to Determine the Eligibility of Students’ Final Project Topic Meidelfi, Dwiny; Yulherniwati, -; Sukma, Fanni; Chandra, Dikky; Jonas, Anna Hendri Soleliza
JOIV : International Journal on Informatics Visualization Vol 5, No 2 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.5.2.447

Abstract

The fourth-year students of Bachelor of Applied Studies (BAS) Software Engineering Technology Department of Information Technology (IT) Politeknik Negeri Padang (PNP) are required to work on the Final Project Proposal to the Coordinator, to deliver to the expertise group team to assess the eligibility of the topic. The expertise teams consist of the same skill family. The assessment criteria include originality, novelty, target and topic contribution, methodology, and similarity. Therefore, a system to support group decisions is highly needed to get eligibility for the topic. In a pandemic like today, indoor gatherings are severely restricted. The work from home policy also limits the movement of the team to gather together so that the expert team who would judge cannot conduct a meeting to determine the feasibility of the final project topic optimally. The existence of a subjective assessment of a particular topic requires discussion from the team. The simple Additive Weighting (SAW) method was used to rank the final project proposal, and BORDA method was used to Accumulate the assessment score of the expert team. The research revealed the recommendation on students’ final topics. Testing is done by testing the sensitivity of the criteria used in a decision maker's preference. The final result of this research is a recommendation of a final project that is feasible to be implemented by students and recommendation for sensitive assessment criteria. From the ten topics of the final project that were assessed, seven topics could be accepted. The sensitivity test results showed that the weight with criterion 1 and criterion 4 significantly affect the assessment results.
Analisis Performa Jaringan 4G LTE Telkomsel di Tinombo Kabupaten Parigi Moutong Sulawesi Tengah Fachrozi Haykal Nugraha; Dikky Chandra; Muhammad Putra Pamungkas
JPNM Jurnal Pustaka Nusantara Multidisiplin Vol. 3 No. 3 (2025): October : Jurnal Pustaka Nusantara Multidisiplin
Publisher : SM Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59945/jpnm.v3i3.731

Abstract

The development of communication technology, especially 4G LTE, has driven an increase in the need for high-speed internet services in all regions, including rural areas such as Tinombo District, Parigi Moutong Regency, Central Sulawesi. However, geographical conditions dominated by hills and bays cause the quality of Telkomsel's 4G LTE network in this region to vary and is not fully optimal. This study aims to analyze the performance of Telkomsel's 4G LTE network in Tinombo based on Key Performance Indicator (KPI) parameters which include Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and Signal to Interference and Noise Ratio (SINR). The method used is a drive test with the G-NetTrack Pro application on mobile devices, covering field measurements from Tinombo Village to Sipayo Village, Sidoan District. Data is obtained through real-time signal recording configuration, with support for routing and location of Base Transceiver Station (BTS) using Google Earth Pro and Cell Mapper. The analysis was conducted to evaluate the signal strength, signal quality, and interference level on Telkomsel's 4G LTE network. The results of the study are expected to provide scientific information related to the actual condition of 4G LTE network performance in rural areas, as well as become a reference for service providers in optimizing network quality. This research is also relevant for academics, researchers, and telecommunication practitioners, especially in the field of Radio Frequency Engineering, in understanding the technical challenges of network implementation in areas with complex topography.
5G NR Coverage Optimization Using Legacy 4G Infrastructure: A Machine Learning-Enhanced Empirical Study in Indonesian Urban Environment AFRIZAL YUHANEF; Muhammad Putra Pamungkas; Nasrul Nasrul; Dikky Chandra; Herry Setiawan; Sonya Purna Faradisya
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 2 (2025): JINITA, December 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i2.2942

Abstract

The deployment of 5G New Radio (NR) networks requires substantial infrastructure investment, posing challenges for emerging markets. This empirical study explores coverage optimization by retrofitting existing 4G LTE Base Transceiver Stations (BTS) using machine learning-enhanced Self-Organizing Network (SON) algorithms. Over six months, 6,895 drive test measurements were collected across 28 Telkomsel BTS sites in Padang, Indonesia, enabling before-and-after optimization analysis. Paired t-test results showed significant improvements in coverage quality: the service area with excellent SINR increased from 54.5% to 58.1% (p < 0.001, Cohen’s d = 0.27), while maintaining 99.3% RSRP compliance (≥ -92 dBm, 95% CI: 97.8%–100%). Automatic Cell Planning (ACP) effectively identified parameter configurations that enhanced performance without additional infrastructure cost, reducing deployment expenses. However, 5G NSA deployment remained limited to only 2.17% of measurements, which is valid for early-stage insights but restricts generalization to full 5G deployment scenarios. Therefore, the findings primarily apply to NSA overlay on existing 4G infrastructure rather than full 5G standalone deployment. This underscores ongoing economic and technical challenges in emerging markets’ 5G rollout. Despite this, the study provides strong empirical evidence supporting infrastructure reuse via SON-based optimization as a cost-effective way to improve coverage and quality. These results offer valuable guidance for operators and policymakers aiming to accelerate 5G adoption while managing costs in similar regions. Future work should expand validation as 5G NSA and standalone (SA) deployments grow and investigate integration with advanced AI-driven network management techniques