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Perbandingan Tebal Perkerasan Lentur Metode Bina Marga 2017 dan Road Note 31 pada Jalan Tawang–Ngalang Artha, Fransiska Dona; Novita, Dinda; Risdiyanto, Risdiyanto; Kresnanto, Nindyo Cahyo
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.57340

Abstract

This study aims to analyze the comparison of flexible pavement thickness using the Bina Marga 2017 method and Road Note 31 edition 5 on the Tawang–Ngalang Segment IV road section, Gunungkidul Regency. This research adopts a quantitative approach using secondary data, including Average Daily Traffic (ADT) from the Prambanan–Piyungan road (2021) and Gading–Playen road (2020), as well as subgrade CBR data from 2022. The analysis was conducted by calculating traffic loading parameters, including ESA and CESA in the Bina Marga method and MESA in the Road Note 31 method, followed by determining pavement layer thickness based on each method. The results indicate that the Bina Marga 2017 method produces a pavement thickness of 54.5 cm, while the Road Note 31 method yields 54 cm, with a difference of 0.5 cm. This difference is influenced by variations in traffic load calculation approaches, where the Road Note 31 method requires detailed axle load data that is not yet comprehensively available in Indonesia.
Analisis Proporsi Moda Transportasi Online terhadap Kinerja Ruas Jalan dan Hambatan Samping di Kawasan Strategis Yogyakarta Jasmine Pharos Az Zahra; Nindyo Cahyo Kresnanto; Risdiyanto Risdiyanto
Jurnal Siber Transportasi dan Logistik Vol. 4 No. 1 (2026): (JSTL) Jurnal Siber Transportasi dan Logistik (April - Juni 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jstl.v4i1.764

Abstract

Kawasan Strategis Yogyakarta, khususnya koridor Tugu Timur dan Titik Nol KM, menghadapi tekanan lalu lintas yang semakin tinggi akibat pertumbuhan aktivitas perkotaan, pariwisata, dan meningkatnya penggunaan transportasi berbasis aplikasi. Penelitian ini bertujuan menganalisis proporsi moda transportasi online terhadap volume lalu lintas, mengevaluasi kinerja ruas jalan, serta mengidentifikasi pengaruhnya terhadap hambatan samping di kawasan tersebut. Metode penelitian menggunakan pendekatan kuantitatif deskriptif melalui cross-sectional survey dengan pencacahan kendaraan manual dan rekaman CCTV pada jam puncak pagi dan sore, baik hari kerja maupun hari libur. Analisis kinerja jalan dilakukan menggunakan indikator volume lalu lintas, kapasitas jalan, derajat kejenuhan (DS), dan tingkat pelayanan (LOS) berdasarkan MKJI 1997. Hasil penelitian menunjukkan bahwa transportasi online berkontribusi sekitar 12,9% terhadap total kendaraan dan 8,9% terhadap beban lalu lintas dalam satuan mobil penumpang. Ruas Tugu Timur mencapai volume puncak 3.204,8 smp/jam (DS = 1,40), sedangkan Titik Nol KM mencapai 4.889,4 smp/jam (DS = 2,61) dengan kondisi LOS F. Aktivitas naik-turun penumpang transportasi online meningkatkan hambatan samping yang menurunkan kapasitas efektif jalan dan memperburuk kinerja lalu lintas kawasan.
ANALISIS BOBOT KOMPONEN WAKTU PADA PERJALANAN MENGGUNAKAN ANGKUTAN UMUM PERKOTAAN Risdiyanto Risdiyanto; Adelia Berliani Harnanto Putri; Nindyo Cahyo Kresnanto
Jurnal Riset Rekayasa Sipil Vol 6, No 2 (2023): Maret 2023
Publisher : Prodi Teknik Sipil Fakultas Teknik Universitas Sebelas Maret Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (321.258 KB) | DOI: 10.20961/jrrs.v6i2.54242

Abstract

Traffic congestion is a serious problem in many cities in the world. Congestion will be reduced if most private vehicle users want to switch to using Urban Public Transport (AUP) when traveling. In order for AUP to be in demand, AUP services must be better. One of the most important services in attracting AUP passengers is the short travel time. The intended travel time is a combination of time to the stop, waiting time at the stop, time in the vehicle, transfer time, and travel time from the stop to the final destination. In order for travel time to be calculated, the weight of each component of travel time must be known. The purpose of this study was to determine the weight of each type of travel time component by taking the case of the Trans Jogja Bus (BTJ). The analysis was carried out using the Analytical Hierarchy Process (AHP) method. Data were obtained by conducting interviews / distributing questionnaires both in person and online, to 103 young respondents in urban Yogyakarta. Based on the results of the study, it was found that the components of travel time with weights from the largest in succession were waiting time at the bus stop, followed by time to the bus stop, transfer time, time from the bus stop to the final destination, and time in the vehicle. These results indicate that reducing waiting time at bus stops is a priority program that needs to be done to shorten the total travel time so that AUP becomes attractive.