TREN DAN POLA ANALISIS JARINGAN TRANSPORTASI MASSAL (LRT/MRT) MENGGUNAKAN TEORI GRAF DI INDONESIA PERIODE 2015-2025: KAJIAN LITERATUR SISTEMATIS

Authors

  • Nur Syamsiyah Universitas Darma Persada
  • Intan Rahma Alita Universitas Darma Persada
  • Sheira Najwa Azzaliya Universitas Darma Persada

DOI:

https://doi.org/10.52362/jisamar.v10i4.2654

Keywords:

graph theory; mass transit; network analysis; LRT/MRT; systematic literatur review

Abstract

Kemacetan lalu lintas merupakan salah satu persoalan urban paling mendesak di kota-kota besar Indonesia. Pertumbuhan kepemilikan kendaraan pribadi yang tidak diimbangi kapasitas prasarana jalan mendorong pembangunan transportasi massal berbasis rel, seperti MRT Jakarta (2019) dan LRT Jabodebek (2023). Penelitian ini bertujuan mengidentifikasi tren, pola pendekatan, dan celah riset penerapan teori graf pada jaringan LRT/MRT di Indonesia periode 2015-2025 melalui kajian literatur sistematis. Metode mengikuti protokol PRISMA dengan pencarian pada enam basis data, yaitu Google Scholar, Scopus, SINTA/Garuda, ScienceDirect, IEEE Xplore, dan Semantic Scholar, yang menghasilkan 20 artikel. Data dianalisis secara bibliometrik deskriptif dan analisis tematik. Hasil menunjukkan publikasi tersebar pada rentang 2015-2025 dengan puncak tahun 2021 dan 2025, dengan pendekatan beragam meliputi kajian konseptual, complex network theory, analisis spektral, community detection, dan analisis aksesibilitas berbasis GIS. Ukuran graf yang digunakan antara lain derajat, jarak rata-rata, koefisien pengelompokan, dan berbagai ukuran sentralitas. Kajian menemukan celah utama berupa belum adanya analisis ketahanan jaringan (network resilience), penentuan lokasi stasiun baru berbasis sentralitas, dan optimasi rute integrasi feeder berbasis data GTFS. Kontribusi kajian ini adalah peta literatur sistematis sebagai landasan penelitian empiris lanjutan. Penelitian selanjutnya disarankan memanfaatkan data GTFS untuk simulasi penutupan stasiun, perhitungan sentralitas, dan optimasi integrasi feeder.

 

Abstract: Traffic congestion is one of the most pressing urban problems in major Indonesian cities. The growth of private vehicle ownership, not matched by road infrastructure capacity, has driven the development of rail-based mass transit, such as the Jakarta MRT (2019) and the Jabodebek LRT (2023). This study aims to identify trends, patterns of approaches, and research gaps in the application of graph theory to LRT/MRT networks in Indonesia for the period 2015-2025 through a systematic literature review. The method follows the PRISMA protocol, searching six databases (Google Scholar, Scopus, SINTA/Garuda, ScienceDirect, IEEE Xplore, and Semantic Scholar), yielding 20 articles. Data were analyzed using descriptive bibliometric and thematic analysis. The results show publications spread across 2015-2025 with peaks in 2021 and 2025, with diverse approaches including conceptual reviews, complex network theory, spectral analysis, community detection, and GIS-based accessibility analysis. Graph measures used include degree, average path length, clustering coefficient, and various centrality measures. The review identifies key gaps: the absence of network resilience analysis, centrality-based new station location determination, and feeder route integration optimization based on GTFS data. The contribution is a systematic literature map serving as a foundation for further empirical research. Future research is recommended to utilize GTFS data for station closure simulations, centrality calculations, and feeder integration optimization.

 

 

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References

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Published

2026-11-09

Issue

Vol. 10 No. 4 (2026): JISAMAR (November 2026)

Section

Articles

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Copyright (c) 2026 Nur Syamsiyah, Intan Rahma Alita, Sheira Najwa Azzaliya

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