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All Journal Fondasi: Jurnal Teknik Sipil JOURNAL OF CIVIL ENGINEERING, BUILDING AND TRANSPORTATION TEKNIKA Bearing : Jurnal Penelitian dan Kajian Teknik Sipil Jurnal Multidisiplin Dehasen (MUDE) Paulus Civil Engineering Journal Jurnal Teknik Sipil LATERAL Jurnal Desiminasi Teknologi
Ramadhani Ramadhani
Universitas IBA
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A Comparative Analysis of Fatigue Resistance in Asphalt Wearing Courses Modified with 7% Content of Natural Rubber and Waste Tire Rubber Hendrik Jimmyanto; Ramadhani Ramadhani; Rindu Twidi Bethary; Lega Lubis Reskita; Kiagus Muhammad Aminuddin
Jurnal Fondasi Vol 15, No 1 (2026)
Publisher : JURUSAN TEKNIK SIPIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/fondasi.v15i1.38785

Abstract

Fatigue cracking remains a primary structural failure in flexible pavements, necessitating the development of more ductile and resilient asphalt mixtures. This study investigates the fatigue performance of Asphalt Concrete-Wearing Course (AC-WC) modified with 7% natural rubber and waste tire rubber, specifically comparing Pre-vulcanized Latex (LP7) and a combination of solid natural rubber and crumb rubber (KACR 7) against a conventional 60/70 penetration grade asphalt (Aspen). The experimental program employed the Indirect Tensile Fatigue Test (ITFT) under a controlled-stress mode of 500 kPa at 20°C to evaluate stiffness degradation, horizontal deformation, and cumulative strain. The results indicate that the 7% rubber modification induces a significant "softening effect," reducing the initial stiffness modulus from 30,136 MPa in the control sample to 19,055 MPa in the LP7 variant. This reduction in stiffness is accompanied by an increase in initial strain, with LP7 and KACR 7 reaching 214 μϵ and 164 μϵ, respectively, compared to only 94 μϵ for the Aspen sample. While the control sample demonstrated a longer laboratory fatigue life (Nf) of 3,381 cycles, the rubber-modified mixtures showed superior ductility and energy dissipation capacity through higher cumulative horizontal strain. Furthermore, evaluation against perpetual pavement criteria revealed that only the Aspen sample falls within the ideal endurance limit (
Analisis Pengaruh Komposisi Oksida Abu Sekam Padi dan Serbuk Ban Terhadap Karakteristik Marshall Campuran Asphalt Concrete-Wearing Course (AC-WC) Deby Ansyory; Hendrik Jimmyanto; Ramadhani Ramadhani; Desmarita Desmarita; Siti Anisah
Bearing : Jurnal Penelitian dan Kajian Teknik Sipil Vol 11, No 1 (2026): Bearing : Jurnal Penelitian dan Kajian Teknik Sipil
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/jbearing.v11i1.10993

Abstract

The utilization of waste materials as alternative components in pavement construction is continuously being developed to support sustainable development. This study examines the use of Rice Husk Ash (RHA) and Crumb Rubber (CR) as substitute materials in Hot Mix Asphalt (HMA) specifically for Asphalt Concrete-Wearing Course (AC-WC). The research investigates the chemical characteristics of these materials through X-Ray Fluorescence (XRF) testing and evaluates their impact on mixture performance based on Marshall parameters. The methodology involved material characterization, the design of Marshall samples with asphalt content variations ranging from 5% to 7%, and Marshall testing on both control samples and modified samples containing a 50% RHA and 50% CR filler substitution. XRF analysis revealed that RHA is predominantly composed of Silica (SiO2) at 91.5%, while CR contains 51% Zinc Oxide (ZnO) and 17% Sulfur (SO3). Marshall test results indicate that the high silica content in RHA contributes significantly to increasing mixture stability beyond 1400 kg, though it also leads to higher Voids in Mix (VIM). Conversely, the inclusion of CR enhances flexibility and flow values but reduces overall stability due to the elastic properties of sulfur and zinc oxide, which limit the internal bonding of the mixture. This study concludes that the mechanical characteristics of asphalt mixtures are heavily influenced by the chemical interactions of their constituent oxides, where RHA serves as a structural stiffener and CR acts as an elasticity modifier.
Analisa Kinerja Jalanan Much. Prabu Mangkunegara Palembang M Helmi Ananda Saputra; Pujiono T; Ramadhani Ramadhani
Jurnal Multidisiplin Dehasen (MUDE) Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mude.v5i1.9529

Abstract

This research aims to analyze the performance of Jalan Much. Prabu Mangkunegara in Palembang, focusing on traffic volume, road capacity, degree of saturation, and level of service. The research scope encompasses a 100-meter road segment, with observations conducted during peak hours (07:00–12:00 Western Indonesia Time). The research methodology includes field surveys to collect primary data such as vehicle volume, side friction, and road geometry, alongside data analysis based on the 1997 Indonesian Road Capacity Manual (Manual Kapasitas Jalan Indonesia/MKJI). The results indicate that the highest traffic volume occurred between 08:00–09:00 WIB, reaching 9,566.5 passenger car units per hour (pcu/hour). The degree of saturation (DS) reached 3.426, indicating a level of service "F" (very congested). Side friction was categorized as both "High" (H) and "Low" (L). The calculated road capacity was 2,791.53 pcu/hour. In conclusion, Jalan Much. Prabu Mangkunegara experiences severe congestion due to a vehicle volume that significantly exceeds its capacity.
Hubungan Antara Kecepatan, Kepadatan, dan Volume di Ruas Jalan Kolonel H. Burlian Palembang Adelia Lestari; Ramadhani Ramadhani; Pujiono Pujiono
Jurnal Multidisiplin Dehasen (MUDE) Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mude.v5i1.9553

Abstract

Traffic congestion is a common problem in big cities, including on Jalan Kolonel H. Burlian Palembang. This study aims to determine the relationship between speed, density, and traffic volume and utilize Google Traffic technology in speed data collection. The research method used is a quantitative approach with primary data collection through field surveys and secondary data from data retrieved using the Application Programming Interface (API) from the Google Traffic server. The results of the study indicate that the comparison of vehicle speeds between the field survey and the Google Traffic approach does not show a significant difference. The T-test results obtained a p-value (two tail) of 0.999998532 ( > 0.05). Modeling with Greenshield theory produces a valid linear relationship between these variables, with an error value (RMS error) that is still within reasonable limits. This study shows that Google Traffic can be used as an alternative measurement in traffic analysis under certain conditions.
Validasi Panjang dan Durasi Kemacetan Google Traffic dengan Survei Lapangan Pada Kasus Putaran Balik di Jl. Kol. H. Burlian Palembang Syifa' Ul Haq; Ramadhani Ramadhani; Pujiono Pujiono
Jurnal Multidisiplin Dehasen (MUDE) Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mude.v5i1.9638

Abstract

Traffic congestion is one of the common problems in big cities such as Palembang, particularly at U-turn locations which are prone to bottlenecks. This study aims to validate the congestion length and duration data obtained from Google Traffic with direct field survey observations at the U-turn on Jl. Kol. H. Burlian, Palembang. The research method involved primary data collection through field surveys using a Garmin GPS to record congestion length and a Speed Gun to measure vehicle speed. Secondary data were obtained from Google Traffic, processed through Google Sheets and the Google Distance Matrix API. The results showed that Google Traffic data can generally illustrate the congestion patterns, both in terms of queue length and congestion duration. A paired t-test comparison between Google Traffic data and field survey data indicated no significant difference. Therefore, Google Traffic can be utilized as supporting data in congestion mapping, although field validation is still required for more accurate results.
Co-Authors Abdul Karim Achmad Mahdor Alfarizi Adelia Lestari Aminuddin Aminuddin Aminuddin, Kiagus Muhammad Ansyory, Deby Arie Putra Usman Bazar Bethary, Rindu Twidi Deby Ansyory Desmarita Desmarita Eri Susanto Hariyadi Hardiansyah, Dani Hendrik Jimmyanto Kiagus Muhammad Aminuddin Kiagus Muhammad Aminuddin Lega Lubis Reskita Lega Lubis Reskita Lilis Lestari M Helmi Ananda Saputra Mardiaman, Mardiaman Misdalena, Felly Muhammad Firman Ridho Muhammad Ridho Alcaesar Pujiono Pujiono Pujiono T Putri Randini Putri Randini R.M. Fadel Satria Albimanzura Rindu Twidi Bethary Safrini, Yusra Dwi Yani Siti Anisah Srikirana Meidiani Syarif Hidayat Syifa' Ul Haq Verinazul Septriansyah Wali Wardoyo Yudian Budi Krishna Yulindasari Sutejo, Yulindasari