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All Journal Journal of Innovative and Creativity Sistem dan Teknik Transportasi Indonesia
Taqia Rahman
Universitas Gadjah Mada
Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Transportation Other

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ANALISIS PERBANDINGAN MODEL KERUSAKAN PERKERASAN LENTUR ANTARA MDPJ 2024 SERTA ASPHALT INSTITUTE DAN AASHTO MEPDG Kevin Briant Pasaribu; Taqia Rahman; Latif Budi Suparma
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

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Abstract

Flexible pavement plays a critical role in supporting economic growth and connectivity. However, overloading heavy vehicles accelerates structural damage such as fatigue cracking and rutting. This study aims to compare the damage prediction models of the 2024 Manual Desain Perkerasan Jalan (MDPJ), Asphalt Institute, and AASHTO MEPDG using KENPAVE simulation across four road classifications in Indonesia. A quantitative descriptive method was employed, analyzing design data from MDPJ 2024, with purposive sampling representing varied traffic loads. KENPAVE software provided horizontal and vertical strain outputs essential for damage calculations via transfer functions of the three models. Results indicated that MDPJ 2024 predicts higher Equivalent Single Axle Load (ESAL) values for fatigue cracking and rutting than international methods, showing optimistic durability estimations. However, differences in permanent deformation predictions, especially compared to AASHTO MEPDG, suggest the need for local calibration. The study concludes that while all models identify fatigue cracking as the dominant failure mode, calibration with field data is essential to validate predictions and optimize pavement design. Future research should focus on empirical validation and environmental factors to improve the national design standards. These findings support enhancing pavement life and cost-efficiency for Indonesia's infrastructure management.
Analisis Perbandingan Model Kerusakan Perkerasan Lentur Antara MDPJ 2024 Serta ASPHALT Institute Dan AASHTO MEPDG Kevin Briant Pasaribu; Taqia Rahman; Latif Budi Suparma
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Flexible pavement plays a critical role in supporting economic growth and connectivity. However, overloading heavy vehicles accelerates structural damage such as fatigue cracking and rutting. This study aims to compare the damage prediction models of the 2024 Manual Desain Perkerasan Jalan (MDPJ), Asphalt Institute, and AASHTO MEPDG using KENPAVE simulation across four road classifications in Indonesia. A quantitative descriptive method was employed, analyzing design data from MDPJ 2024, with purposive sampling representing varied traffic loads. KENPAVE software provided horizontal and vertical strain outputs essential for damage calculations via transfer functions of the three models. Results indicated that MDPJ 2024 predicts higher Equivalent Single Axle Load (ESAL) values for fatigue cracking and rutting than international methods, showing optimistic durability estimations. However, differences in permanent deformation predictions, especially compared to AASHTO MEPDG, suggest the need for local calibration. The study concludes that while all models identify fatigue cracking as the dominant failure mode, calibration with field data is essential to validate predictions and optimize pavement design. Future research should focus on empirical validation and environmental factors to improve the national design standards. These findings support enhancing pavement life and cost-efficiency for Indonesia's infrastructure management
Distribusi Spasial Penumpang dan Efiseinsi Boarding Akibat Ketidakpastian Posisi Berhenti Kereta: Studi Kasus Stasiun Kiaracondong Bandung Mohammad Ivan Yanuar; Dewanti Dewanti; Taqia Rahman
Sistem dan Teknik Transportasi Indonesia Vol. 3 No. 1 (2026): May
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/stti.v3i1.6144

Abstract

Ketidakjelasan posisi berhenti kereta di peron stasiun antarkota kerap menghambat kelancaran proses naik-turun penumpang. Kondisi ini terjadi di Stasiun Kiaracondong Bandung, yang belum memiliki penanda titik henti kereta yang akurat, sehingga penumpang lebih memilih menunggu di bagian tengah peron karena dianggap lokasi paling fleksibel. Penelitian ini bertujuan mengidentifikasi pola sebaran penumpang di peron menggunakan pendekatan entropi Shannon, serta menganalisis pengaruh tingkat kemerataan sebaran tersebut terhadap durasi boarding. Data dikumpulkan melalui observasi langsung terhadap 60 kedatangan kereta antarkota (20 rangkaian, tiga periode pengamatan) di peron 4, 5, dan 6. Setiap peron dibagi menjadi sepuluh zona pengamatan (Z1–Z10) untuk mencatat jumlah penumpang menunggu, sementara waktu boarding diukur dengan stopwatch sejak pintu kereta dibuka hingga penumpang terakhir naik. Nilai entropi ternormalisasi (H′) dihitung untuk setiap observasi dan dikorelasikan dengan waktu boarding menggunakan uji Spearman. Hasil menunjukkan penumpang cenderung terkonsentrasi di zona tengah peron (Z4–Z7 menampung 59,8% penumpang), dengan nilai H′ berkisar 0,6832–0,9485 (rata-rata 0,8773). Uji Spearman menunjukkan korelasi negatif signifikan antara entropi dan waktu boarding (ρs = −0,594; p = 0,000; n = 60), yang berarti semakin merata sebaran penumpang, semakin singkat waktu boarding. Analisis regresi menunjukkan jumlah penumpang hanya menjelaskan 18,4% variasi waktu boarding, sehingga sebaran spasial penumpang terbukti menjadi faktor penjelas signifikan di luar volume penumpang. Temuan ini menegaskan ketidakpastian posisi berhenti kereta berkontribusi nyata terhadap inefisiensi boarding, sehingga penyediaan penanda posisi kereta yang presisi perlu menjadi prioritas perbaikan layanan operasional stasiun.
Co-Authors Dewanti Dewanti Kevin Briant Pasaribu Kevin Briant Pasaribu Latif Budi Suparma Mohammad Ivan Yanuar