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INDONESIA
Journal of Telematics and Informatics
ISSN : -     EISSN : -     DOI : -
Journal of Telematics and Informatics (e-ISSN: 2303-3703, p-ISSN: 2303-3711) is an interdisciplinary journal of original research and writing in the wide areas of telematics and informatics. The journal encompasses a variety of topics, including but not limited to: The technology of sending, receiving and storing information via telecommunication devices in conjunction with affecting control on remote objects; The integrated use of telecommunications and informatics; Global positioning system technology integrated with computers and mobile communications technology; The use of telematic systems within road vehicles, in which case the term vehicle telematics may be used; The structure, algorithms, behavior, and interactions of natural and artificial systems that store, process, access and communicate information; Develops its own conceptual and theoretical foundations and utilizes foundations developed in other fields; and The social, economic, political and cultural impacts and challenges of information technologies (advertising and the internet, alternative community networks, e-commerce, e-finance, e–governance, globalization and security, green computing, ICT for sustainable development, ICT in healthcare and education, management and policymaking, mobile and wireless communications, peer-to-peer learning, regulation of digital technologies, social networking, special user groups, the 2.0 paradigm, the WWW, etc). The journal is a collaborative venture between Universitas Islam Sultan Agung (UNISSULA), Universitas Ahmad Dahlan (UAD) and Institute of Advanced Engineering and Science (IAES) Indonesia Section.
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Articles 3 Documents
Search results for , issue "Vol 12, No 1 (2024)" : 3 Documents clear
Genetic Algorithm To Optimize The Shortest Route for Indomaret Goods Suppliers Hardjana, Irawan Pudja; Subroto, Imam Much Ibnu; Alifah, Suryani
Journal of Telematics and Informatics Vol 12, No 1 (2024)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v12i1.

Abstract

This research examines the application of genetic algorithms to optimize the distribution of goods from suppliers to Indomaret outlets in the East Tegal District area by modeling the problem as the Traveling Salesman Problem (TSP). A genetic algorithm is applied to determine the most efficient distribution route, which aims to reduce travel distance and operational costs. Distance data between location points is taken from Google Maps, and the optimization process involves forming an initial population, selection based on fitness function, crossover, and mutation. The research results show that the genetic algorithm can produce an optimal solution with the shortest distance of 9,700 meters, and the highest fitness value of 0.0001031. These findings provide an overview of the effectiveness of genetic algorithms in handling TSP in the context of goods distribution and have the potential for further development in distribution and logistics applications
Large Language Model and Retrieval-Augmented Generation Model for Indonesian Publication Milasanti, Denina; Subroto, Imam Much Ibnu; Haviana, Sam Farisa Chaerul
Journal of Telematics and Informatics Vol 12, No 1 (2024)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v12i1.

Abstract

Garba Rujukan Digital (GARUDA) is a platform for publications and references in scientific articles, journals, and theses in Indonesia. However, to be able to find specific information in many articles and journals, of course, it is necessary to develop a system to make it easier to find this information. Therefore, a chatbot system with Large Language Model (LLM) and Retrieval Augmented Generation (RAG) was developed which is used to retrieve information through data-based chatbots on GARUDA. To find out the results of this study, a matrix evaluation was carried out using the ROUGE score with an average result of the value range from 42.68% to 68.03%. Thus, the evaluation showed that the output worked quite well in answering questions in scientific articles in the GARUDA Computer Science & IT indexed journal, especially on web-based subtopics.Keywords: chatbot, RAG, LLM, GARUDA Kemdikbud 
Flood Early Warning System Based on Firebase Platform and Internet of Things Nurhadiyono, Siswanto; Budisusila, Eka Nuryanto; Arifin, Bustanul
Journal of Telematics and Informatics Vol 12, No 1 (2024)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v12i1.

Abstract

Floods are natural disasters that frequently occur and cause significant damage to human life, infrastructure, and the environment. This study designed and implemented a prototype of an early flood warning system based on the Internet of Things (IoT) integrated with Firebase Realtime Database. The system aimed to address the limitations of previous warning systems by providing more accurate information, faster response times, and easier accessibility. The prototype enabled real-time data access through a web-based application accessible via smartphones and was equipped with a DF Player module to deliver audio warnings. A scaled-down prototype (1:10) was tested using an ultrasonic sensor for water level measurement and a tipping bucket sensor for rainfall measurement. The results demonstrated 99% accuracy for water level measurements up to 200 mm, with a data response time of 1 second and text updates every 5 seconds. This system significantly improved the accuracy, update speed, information accessibility, and effectiveness of audio warnings.

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