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All Journal Morfologi : Jurnal Ilmu Pendidikan, Bahasa, Sastra dan Budaya Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Sirlia Sahid
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Arts Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media

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Implementasi Algoritma Shortest Path untuk Optimasi Rute pada Sistem Navigasi Lokasi Sirlia Sahid; Maissy Angelica Pakpahan; Rifqi Putra Winanda; Muhammad Raihansyah Lubis; Adidtya Perdana
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 4 No. 2 (2026): Mei : Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v4i2.841

Abstract

The increasing complexity of urban road networks demands intelligent navigation systems capable of determining optimal routes efficiently. This research implements the Dijkstra Shortest Path algorithm to optimize route search on a location navigation system in Medan City. The system models a road network as a weighted graph comprising 57 strategic locations and over 90 road connections, represented using adjacency list data structures. The Dijkstra algorithm, implemented in Python using the heapq module for priority queue management, achieves an optimal time complexity of O((V+E) log V). The system features five main functions: shortest route search, popular routes, location listing, dynamic location addition, and dynamic road connection addition. System testing using a case study from Kualanamu Airport to the University of North Sumatra (USU) yielded an optimal route of 16.5 km through 4 road segments. Results demonstrate that the system successfully determines the most efficient route, provides accurate distance and travel time information for multiple transport modes (motorcycle, car, walking), and presents step-by-step journey guidance. This research contributes as a practical reference for applying shortest path algorithms in urban areas and serves as a foundation for developing more complex navigation applications in the future.
Ragam Bahasa Indonesia dalam Prompt AI: Studi Komparatif Gaya Respons ChatGPT Sirlia Sahid; Maissy Angelica Pakpahan; Mika Monika Fransiska Simanullang; Repi Meilani Putri
Morfologi : Jurnal Ilmu Pendidikan, Bahasa, Sastra dan Budaya Vol. 4 No. 3 (2026): June: Morfologi : Jurnal Ilmu Pendidikan, Bahasa, Sastra dan Budaya
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/morfologi.v4i3.2699

Abstract

This study examines the influence of standard (baku) and non-standard (informal) Indonesian language in prompt construction on the response style and structure generated by ChatGPT. The proliferation of generative AI in Indonesia presents a gap: most users interact with AI using everyday informal language, while the effect on AI response characteristics remains understudied. Using a comparative qualitative approach, two prompt variants formal standard language and informal non-standard language were tested on an identical object: an internet service package (HOME ODS, 100 Mbps, Rp150,000/month). Responses were evaluated across five dimensions: structure, completeness, analytical depth, register alignment, and practical utility. Findings show that formal-language prompts yield more hierarchically organized and elaborated responses, while informal prompts elicit concise, conversational responses marked by emoji and colloquial tone. Both prompt types produced substantively comparable information, indicating that language variety primarily shapes response style rather than content depth. These findings suggest ChatGPT adapts its register to match user input, a behavior consistent with statistical pattern prediction inherent to large language models (LLMs). Implications for Indonesian language education and AI literacy are discussed.
Co-Authors Adidtya Perdana, Adidtya Maissy Angelica Pakpahan Mika Monika Fransiska Simanullang Muhammad Raihansyah Lubis Repi Meilani Putri Rifqi Putra Winanda