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Ari Zulsafar
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zulsapar@telkomuniversity.ac.id
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Jl. Telekomunikasi No.1, Sukapura, Kec. Dayeuhkolot, Kabupaten Bandung, Jawa Barat
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INDONESIA
IJoICT (International Journal on Information and Communication Technology)
Published by Universitas Telkom
ISSN : -     EISSN : 23565462     DOI : https://doi.org/10.21108/ijoict
Core Subject : Science, Social,
Computer Science & IT Environmental Science
nternational Journal of Information Communication Technology (IJoICT) is a peer-reviewed Journal. This journal includes novel ideas on ICT, state of the art technique implementations, and study cases on developing countries. This journal fully acknowledges the articles that emphasize a balanced coverage between theory and practice. Subject areas that is suitable for publication to the following fields: Computer Networking and Communication Graphics & Multimedia Theoretical CS & Statistic Embeded System Software Engineering Information System Security & Cryptography Data Science Parallel and Distributed Systems Database Systems Intelligence System
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 22 Documents
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QURANIC KNOWLEDGE GRAPH: A MULTIDISCIPLINARY APPROACH TO MAPPING SEMANTIC NETWORKS IN THE QURAN Kemas Saleh Rahmat Wiharja; Muhammad Arif Bijaksana; Kemas Muslim Lhaksmana; Hafizh Putra Ardhana; Muhammad Aqil Ghazali Anhein
IJoICT (International Journal on Information and Communication Technology) Vol. 12 No. 1 (2026): Vol.12 No.1 Jun 2026
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Understanding the Al-Quran is the eternal goal of every Muslim, wherever they are. Before the emergence of the Knowledge Graph, readers of the Al-Quran needed to move from the Al-Quran to Tafsir, Hadith, scholar opinions or other resources in order to grasp the full meaning of a verse or a chapter in the Al-Quran. To help the readers of the Al- Quran in pondering the meaning of the Al-Quran and linking the verses to the meaning of the word or the interpretation of the verse in a tafsir book, we propose the first multi-layer Quranic Knowledge Graph that uses the property graph format. We also add a chatbot on top of our Quranic Knowledge Graph. And to save cost in using a Large Language Model, we deploy a vector database to memorize the previously answered user queries and their corresponding Cypher translations. We evaluate our approach using three point of views: large language model, knowledge graph, and chatbot. The result of evaluation shows that our Quranic Knowledge Graph achieves 100% correctness and 90% accuracy, despite only covering 9 parts of the Al-Quran. For the interested readers, please access https://zentilax.github.io/quranic-chatbot-UI/ for exploring the quranic knowledge graph
Analysis of the Effect of QUIC and TCP on Quality of Experience (QoE) during Handover Muhammad Adlan Hafizha; Aji Gautama Putrada; Ryan Lingga Wicaksono
IJoICT (International Journal on Information and Communication Technology) Vol. 12 No. 1 (2026): Vol.12 No.1 Jun 2026
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v12i1.10893

Abstract

Video streaming on mobile devices experiences interruptions when the wireless connection switches to a new network. This study aims to evaluate Quick UDP Internet Connections (QUIC) protocol’s performance as an alternative to Transmission Control Protocol (TCP) that oftentimes encounters performance setbacks during handovers. The simulation was performed using Mininet-WiFi emulator with a topology of two Access Points with various bandwidth capacities (10 Mbps to 1000 Mbps) and one mobile station (client). The simulations were repeated 30 times to ensure statistical validity for packet loss, latency, throughput, and buffering time metrics. Simulation results show that QUIC outperforms TCP in network metrics performance. QUIC’s Connection ID and 0-RTT initiation features reduce packet loss by up to 6.39%, maintain latency below 0.14 ms, and instantly restore throughput. However, an anomaly was found at high bandwidth (>500 Mbps) where buffering time of QUIC was longer due to the computational load of TLS 1.3 decryption in user space. Although QUIC is strong in wireless mobility, the CPU processing of the receiver’s device must be optimized on high-speed network.

Page 3 of 3 | Total Record : 22

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