ANALISIS PEMODELAN BANGKITAN DAN TARIKAN PERGERAKAN PENUMPANG LIGHT RAIL TRANSIT DI STASIUN CIKOKO, JAKARTA

    Fitriani Sulistya Atmaja, - and Juang Akbardin, - and Dadang Mohamad Ma’soem, - (2025) ANALISIS PEMODELAN BANGKITAN DAN TARIKAN PERGERAKAN PENUMPANG LIGHT RAIL TRANSIT DI STASIUN CIKOKO, JAKARTA. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Stasiun LRT Cikoko di Jakarta Selatan merupakan simpul transportasi strategis yang mendukung integrasi antar moda LRT Jabodebek. Peningkatan jumlah penumpang memerlukan analisis untuk memahami karakteristik pengguna, membangun model prediksi pergerakan, dan mengidentifikasi faktor utama yang memengaruhinya. Penelitian ini bertujuan menganalisis karakteristik penumpang, membangun model regresi bangkitan dan tarikan, serta menentukan faktor dominan dengan menggunakan pendekatan kuantitatif melalui survei kuesioner dan dianalisis dengan regresi linier berganda, uji asumsi klasik, uji hipotesis, serta kontribusi faktor. Karakteristik penumpang LRT Cikoko umumnya berusia 21 – 30 tahun yang merupakan karyawan swasta dan mahasiswa serta pelajar dengan tujuan perjalanan bekerja maupun berekreasi. Hasil regresi dengan bantuan Micrososft Excel dan SPSS V27 diperoleh model bangkitan pergerakan yaitu Y = 4,014 + 6,904 X₁ - 42,499 X₃ - 46,563 X₆ - 9,300 X₁₀ + 95,590 X₁₁ dan model tarikan pergerakan Y = 923,109 + 27,357 X₁ - 120,250 X₃ + 99,839 X₄ + 16,801 X₅ - 99,156 X₆ - 16,780 X₇ - 21,124 X₁₀ - 444,905 X₁₁. Model yang dihasilkan memiliki akurasi prediksi tinggi, dengan faktor dominan bangkitan adalah usia (28%), pendidikan terakhir (23%), dan moda transportasi (23%), sedangkan faktor dominan tarikan adalah usia (23%) dan moda transportasi (22%). Temuan ini menegaskan perlunya perencanaan transportasi berbasis karakteristik dan pola perjalanan pengguna untuk meningkatkan layanan. Cikoko LRT Station in South Jakarta is a strategic transportation hub that supports intermodal integration within the Jabodebek LRT network. The increasing number of passengers requires an analysis to understand user characteristics, develop movement prediction models, and identify the main influencing factors. This study aims to analyze passenger characteristics, develop trip generation and attraction regression models, and determine dominant factors using a quantitative approach through questionnaire surveys, analyzed with multiple linear regression, classical assumption tests, hypothesis tests, and factor contribution analysis. Passengers of Cikoko LRT Station are generally aged 21–30 years, working as private employees or students, with trip purposes mainly for work and recreation. Regression results using Microsoft Excel and SPSS V27 produced the trip generation model Y = 4,014 + 6,904X₁ – 42,499X₃ – 46,563X₆ – 9,300X₁₀ + 95,590X₁₁ and the trip attraction model Y = 923,109 + 27,357X₁ – 120,250X₃ + 99,839X₄ + 16,801X₅ – 99,156X₆ – 16,780X₇ – 21,124X₁₀ – 444,905X₁₁. Both models have high predictive accuracy, with dominant factors for trip generation being age (28%), education level (23%), and mode of transportation (23%), while dominant factors for trip attraction are age (23%) and mode of transportation (22%). These findings highlight the need for transportation planning based on user characteristics and travel patterns to improve service quality.

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    Official URL: https://repository.upi.edu/
    Item Type: Thesis (S1)
    Additional Information: https://scholar.google.com/citations?view_op=list_works&hl=en&user=eTu-DMAAAAAJ ID SINTA Dosen Pembimbing: Juang Akbardin: 5979018 Dadang Mohamad Ma'soem: 6746091
    Uncontrolled Keywords: Bangkitan, Tarikan, LRT, Pergerakan Penumpang, Regresi Linear. Trip Generation, Trip Attraction, LRT, Passengers Movement, Linear Regression.
    Subjects: L Education > L Education (General)
    T Technology > TA Engineering (General). Civil engineering (General)
    Divisions: Fakultas Pendidikan Teknik dan Industri > Jurusan Pendidikan Teknik Sipil > Program Studi Teknik Sipil
    Depositing User: Fitriani Sulistya Atmaja
    Date Deposited: 27 Oct 2025 02:43
    Last Modified: 27 Oct 2025 02:43
    URI: http://repository.upi.edu/id/eprint/144296

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