Analisis sebaran pergerakan mahasiswa kampus Universitas Muslim Indonesia Makassar

Mukti Maruddin, Muhammad Ridha Kasim

Abstract

Identifikasi sebaran pergerakan merupakan tahapan penting dalam
perencanaan dan pemodelan transportasi. Pergerakan mahasiswa di kawasan
pendidikan, khususnya di Kampus Universitas Muslim Indonesia (UMI), memiliki pola
yang kompleks dan fleksibel. Kajian terhadap hal ini menjadi penting untuk
melakukan perencanaan transportasi internal kampus. Tujuan penelitian adalah
untuk mengetahui karakteristik perjalanan menuju Kampus UMI dan untuk membuat
model sebaran pergerakan menuju Kampus UMI. Penelitian ini menggunakan data
asal dan tujuan pergerakan mahasiswa yang didapatkan dari hasil wawancara. Data
tersebut kemudian ditabulasi mengan Matriks Asal-Tujuan dan menghasilkan peta
desire line. Dalam penyajiannya, matriks dan peta ini terbagi menjadi pergerakan di
dalam kampus dan pergerakan keluar kampus. Hasil penelitian menunjukkan bahwa
pergerakan asal-tujuan eksternal didominasi pada Kecamatan Panakkukang,
Kecamatan Manggala dan Tamalanrea. Sementara untuk pergerakan internal, fokus
pergerakan yang dominan pada fasilitas seperti Masjid Umar Bin Khattab,
Perpustakaan Ustman Bin Affan, dan Koperasi/Kantin. Dari sisi antar-fakultas,
pergerakan didominasi oleh fakultas yang memiliki jumlah mahasiswa yang banyak
dan lokasi yang berdekatan, seperti Fakultas Teknik (FT), Fakultas Teknik Industri
(FTI), dan Fakultas Hukum (FH).

Keywords

Sebaran Pergerakan; Kawasan Pendidikan; Zona Asal-Tujuan

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References

[1]Croce AI, Musolino G, Rindone C, Vitetta A. Estimation of Travel Demand Models with Limited Information: Floating Car Data for Parameters’ Calibration. Sustainability 2021;13:8838.

[2]Karami Z, Kashef R. Smart Transportation Planning: Data, Models, and Algorithms. Transp Eng 2020;2:100013. https://doi.org/https://doi.org/10.1016/j.treng.2020.100013.

[3]Kasim MR, Akram AM, Ramadhan R, Fauzan A. Analisis Integrasi Angkutan Kota sebagai Feeder Angkutan Bus Trans Mamminasata. Syntax Lit J Ilm Indones 2023;8:3962–74.

[4]Jihad A, Kasim MR, B B, Mahendra MI. Analisis Tingkat Kerusakan Flexible Pavement dengan Menggunakan Metode Surface Distress Index (SDI) dalam Penentuan Penanganan Jalan. J Cahaya Mandalika 2023;3:1825–31.

[5]Ros-Roca X, Montero L, Barceló J, Nökel K, Gentile G. A Practical Approach to Assignment-Free Dynamic Origin–Destination Matrix Estimation Problem. Transp Res Part C Emerg Technol 2022;134:103477. https://doi.org/https://doi.org/10.1016/j.trc.2021.103477.

[6]Cao Y, Yao J, Tang K, Kang Q. Dynamic Origin–Destination Flow Estimation for Urban Road Network Solely using Probe Vehicle Trajectory Data. J Intell Transp Syst 2024;28:756–73. https://doi.org/10.1080/15472450.2023.2209910.

[7]Alifuddin A, Kasim MR, Maruddin M. Permodelan Empat Tahapan dalam Analisis Dampak Lalu Lintas Kampus Universitas Islam Makassar. J Arsip Rekayasa Sipil Dan Perenc 2024;7:1–12.

[8]Patwary AUZ, Huang W, Lo HK. Metamodel-based calibration of large-scale multimodal microscopic traffic simulation. Transp Res Part C Emerg Technol 2021;124:102859. https://doi.org/https://doi.org/10.1016/j.trc.2020.102859.

[9]Ryu S. A Bicycle Origin–Destination Matrix Estimation based on a Two-Stage Procedure. Sustainability 2020;12:2951. https://doi.org/https://doi.org/10.3390/su12072951.

[10]Pamuła T, Żochowska R. Estimation and prediction of the OD matrix in uncongested urban road network based on traffic flows using deep learning. Eng Appl Artif Intell 2023;117:105550. https://doi.org/https://doi.org/10.1016/j.engappai.2022.105550.

[11]Zhang J, Yan J, Liu Y, Zhang H, Lv G. Daily Electric Vehicle Charging Load Profiles Considering Demographics of Vehicle Users. Appl Energy 2020;274:115063. https://doi.org/https://doi.org/10.1016/j.apenergy.2020.115063.

[12]Kasim MR, Alifuddin A, Maruddin M, B MS. Pendampingan Penyusunan Andalalin Lapangan Mini Soccer di Kota Makassar (Studi Kasus: Lapangan Mini Soccer Basogi). Community Dev J J Pengabdi Masy 2024;5:1494–8.

[13]Kumarage S, Yildirimoglu M, Zheng Z. A Hybrid Modelling Framework for the Estimation of Dynamic Origin–Destination Flows. Transp Res Part B Methodol 2023;176:102804. https://doi.org/https://doi.org/10.1016/j.trb.2023.102804.

[14]Zhou Q, Lu X, Gu J, Zheng Z, Jin B, Zhou J. Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder. Proc AAAI Conf Artif Intell 2024;38:9422–30. https://doi.org/10.1609/aaai.v38i8.28796.

[15]Lin Y, Wan H, Hu J, Guo S, Yang B, Lin Y, et al. Origin-Destination Travel Time Oracle for Map-based Services. Proc ACM Manag Data 2023;1. https://doi.org/10.1145/3617337.

[16]Xu Y, Lyu Y, Xiong G, Wang S, Wu W, Cui H, et al. Adaptive Feature Fusion Networks for Origin-Destination Passenger Flow Prediction in Metro Systems. IEEE Trans Intell Transp Syst 2023;24:5296–312. https://doi.org/10.1109/TITS.2023.3239101.

[17]Huang Z, Zhang W, Wang D, Yin Y. A GAN Framework-Based Dynamic Multi-Graph Convolutional Network for Origin–Destination-Based Ride-Hailing Demand Prediction. Inf Sci (Ny) 2022;601:129–46. https://doi.org/https://doi.org/10.1016/j.ins.2022.04.024.

[18]Adams EJ, Bull FC, Foster CE. Are Perceptions of the Environment in the Workplace ‘Neighbourhood’ Associated with Commuter Walking? J Transp Heal 2016;3:479–84. https://doi.org/https://doi.org/10.1016/j.jth.2016.01.001.

[19]Hamad K, Obaid L. Tour-Based Travel Demand Forecasting Model for a University Campus. Transp Policy 2022;117:118–37. https://doi.org/https://doi.org/10.1016/j.tranpol.2022.01.001.

[20]Canale A, Campisi T, Tesoriere G, Sanfilippo L, Brignone A. The Evaluation of Home-School Itineraries to Improve Accessibility of a University Campus Trough Sustainable Transport Modes BT - Computational Science and Its Applications – ICCSA 2020. In: Gervasi O, Murgante B, Misra S, Garau C, Blečić I, Taniar D, et al., editors., Cham: Springer International Publishing; 2020, p. 754–69.

[21]Universitas Muslim Indonesia. Official Website Universitas Muslim Indonesia n.d. https://umi.ac.id/ (accessed May 27, 2024).

[22]Danim S. Menjadi Peneliti Kualitatif. Bandung: Pustaka Setia; 2013.

[23]McMillan JH, Schumacher S. Research in Education : a Conceptual Introduction. 5th ed. Boston: Longman; 2001.

[24]Isaac S, Michael WB. Hand Book in Research and Evaluation. San Diego: Edit Publisher; 1981.

DOI: https://doi.org/10.20961/region.v20i2.97117

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