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All Journal Pondasi Jurnal Kajian Ruang Teknika Jurnal Pengabdian West Science Jurnal Teknik Indonesia
Juny Andry Sulistyo
Universitas Islam Sultan Agung
Humanities Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Education Engineering Environmental Science Physics Public Health Social Sciences Transportation

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ANALISIS PENGARUH VOLUME LALU LINTAS TERHADAP TINGKAT KERUSAKAN PERKERASAN JALAN Agus Kosasih; Juny Andry Sulistyo; Pratikso Pratikso
Jurnal Teknik Indonesia Vol 7, No 2 (2026): JTI (Jurnal Teknik Indonesia)
Publisher : Universitas Darul Ulum Islamic Centre Sudirman GUPPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61689/jti.v7i2.1248

Abstract

Increasing traffic volume is one of the primary factors contributing to the accelerated deterioration of road pavements, particularly on roads with high traffic mobility. The Budur–Susukan–Tegalgubug Road in Cirebon Regency exhibits various types of surface distress; however, no quantitative study has specifically measured the effect of traffic volume on pavement deterioration along this road section. This study aimed to analyze traffic volume characteristics, evaluate the level of pavement deterioration based on the type and extent of surface distress, and determine the influence of traffic volume on pavement deterioration. This research employed a quantitative approach through field surveys. Primary data were collected from traffic volume surveys and pavement distress identification across eight observation segments. Traffic volume was analyzed using Average Daily Traffic (ADT), while the relationship between traffic volume and pavement deterioration was examined using simple linear regression with the assistance of IBM SPSS Statistics. The results indicate that traffic volume ranged from 2,315 to 2,379 passenger car units per day (pcu/day). Pavement deterioration was classified as moderate, with distress percentages ranging from 6.40% to 14.87%, predominantly consisting of alligator cracking, longitudinal cracking, raveling, rutting, edge deterioration, and patching. The regression analysis produced the equation Y = −295.407 + 0.131X, with a correlation coefficient (R) of 0.900, a coefficient of determination (R²) of 0.811, and a significance value of 0.002 (
ANALISIS PENGARUH VOLUME LALU LINTAS TERHADAP TINGKAT KERUSAKAN PERKERASAN JALAN (Studi Kasus Jalan Kasepuhan–Kalitanjung) Muhammad Daffa Putra Susanto; Juny Andry Sulistyo; Pratikso Pratikso
Jurnal Teknik Indonesia Vol 7, No 2 (2026): JTI (Jurnal Teknik Indonesia)
Publisher : Universitas Darul Ulum Islamic Centre Sudirman GUPPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61689/jti.v7i2.1249

Abstract

This study aims to analyze pavement distress conditions, examine the relationship between traffic volume and pavement condition, and determine maintenance priorities along the Jalan Kasepuhan–Kalitanjung corridor. The Surface Distress Index (SDI) method was used to evaluate pavement conditions, while statistical analysis using SPSS was employed to determine the relationship between Average Daily Traffic (ADT) and SDI values. The research data were obtained through pavement condition surveys and traffic surveys conducted on six road sections. The results showed that SDI values ranged from 72.00 to 93.83, indicating that all road sections were classified as fair condition. The highest SDI value was found on Jalan Kesambi (93.83), while the lowest was on Jalan Pulasaren (72.00). Statistical analysis indicated an average ADT of 2,352.50 vehicles/day and an average SDI of 86.04. The Pearson correlation analysis produced a correlation coefficient of 0.345 with a significance value of 0.503 (> 0.05), indicating a positive but weak and statistically insignificant relationship between ADT and SDI. Simple linear regression analysis resulted in the equation SDI = -185.580 + 0.115(ADT) with a coefficient of determination R² = 0.119, meaning that ADT explains only 11.9% of the variation in pavement condition. Based on the combination of SDI and ADT values, the maintenance priority order was Jalan Kesambi, Jalan Kalitanjung, Jalan Lawanggada, Jalan Ariodinoto, Jalan Kasepuhan, and Jalan Pulasaren. In general, the pavement condition along the study corridor is still capable of serving traffic demand; however, a periodic maintenance program is required to prevent further deterioration. Keywords: Surface Distress Index, ADT, road distress, pavement condition, maintenance priority.
ANALISIS KINERJA LALU LINTAS PADA UNDERPASS PEKANDANGAN–JATIBARANG KABUPATEN INDRAMAYU BERDASARKAN PEDOMAN KAPASITAS JALAN INDONESIA (PKJI) 2023 Rusmana Rusmana; Juny Andry Sulistyo; Abdul Rochim
Jurnal Teknik Indonesia Vol 7, No 2 (2026): JTI (Jurnal Teknik Indonesia)
Publisher : Universitas Darul Ulum Islamic Centre Sudirman GUPPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61689/jti.v7i2.1246

Abstract

The Pekandangan–Jatibarang Underpass is an important transportation facility that supports traffic flow and regional connectivity in Indramayu Regency. The increasing level of community activities in the surrounding commercial and residential areas has led to a continuous rise in traffic volume, potentially reducing the road's level of service, particularly during peak hours. This study aims to analyze traffic volume characteristics, evaluate the level of service based on road capacity and degree of saturation, and develop traffic management recommendations for the Pekandangan–Jatibarang Underpass. The study employed a quantitative evaluative approach using the 2023 Indonesian Highway Capacity Guidelines (Pedoman Kapasitas Jalan Indonesia/PKJI 2023). Primary data were obtained through three days of traffic volume surveys (traffic counting), while secondary data included road geometric characteristics, existing underpass conditions, and technical documents obtained from relevant agencies. The analysis consisted of calculating traffic volume, road capacity, degree of saturation (DS), and Level of Service (LOS). The results indicate that the highest traffic volume occurred on Monday from 7:00 to 8:00 p.m., reaching 1,358 PCU/hour, while the road capacity of the Pekandangan–Jatibarang Underpass was 1,223 PCU/hour. The degree of saturation ranged from 0.30 to 1.11, with the highest value of 1.11, indicating that traffic demand exceeded the available road capacity. The road performance was predominantly classified as LOS B and LOS C, but deteriorated to LOS F during peak hours, indicating that the traffic performance was no longer optimal. Based on these findings, recommended measures include implementing traffic management during peak periods, controlling roadside activities, regulating heavy vehicle movements, and increasing the underpass capacity as a long-term solution to improve traffic performance.
ANALISIS KONDISI DAN PRIORITAS PENANGANAN STRUKTUR ATAS JEMBATAN MONJOT MENGGUNAKAN METODE BRIDGE MANAGEMENT SYSTEM (BMS) DAN ANALYTICAL HIERARCHY PROCESS (AHP) Budi Achmad Setiady; Pratikso Pratikso; Juny Andry Sulistyo
Jurnal Teknik Indonesia Vol 7, No 2 (2026): JTI (Jurnal Teknik Indonesia)
Publisher : Universitas Darul Ulum Islamic Centre Sudirman GUPPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61689/jti.v7i2.1244

Abstract

Bridges are essential transportation infrastructures that play a vital role in maintaining regional connectivity. Therefore, the condition of bridge structural elements must be periodically evaluated to ensure safety and serviceability. The Bridge Management System (BMS) is widely used to assess the condition of bridge elements; however, it cannot determine maintenance priorities when several elements have the same level of deterioration. Therefore, this study integrates the Bridge Management System (BMS) and the Analytical Hierarchy Process (AHP) to establish priority recommendations for the maintenance of the Monjot Bridge superstructure. This study aims to evaluate the condition of the Monjot Bridge superstructure using the BMS method and determine maintenance priorities through the integration of the BMS and AHP methods. Data were collected through visual inspections, documentation, literature review, and questionnaires distributed to five expert respondents. The BMS was employed to assess the condition of bridge elements, while the AHP was used to determine maintenance priorities through pairwise comparison, matrix normalization, eigenvector calculation, consistency testing, and global priority synthesis. The results showed that, of the 12 superstructure elements evaluated, 2 elements (16.67%) were classified as minor damage, 2 elements (16.67%) as moderate damage, 5 elements (41.66%) as major damage, and 3 elements (25.00%) as critical, indicating that 66.66% of the superstructure elements were in major to critical condition. The critical elements consisted of the Elastomer Bearing Pad, Girder, and Bearing Joint. The AHP analysis indicated that Safety Risk was the most influential criterion with a weight of 0.49, followed by Failure Consequence (0.36) and Element Function (0.15), with a Consistency Ratio (CR) of 0.07, indicating consistent judgments. The resulting maintenance priority ranking was Elastomer Bearing Pad (0.59), Girder (0.29), and Bearing Joint (0.12).
ANALISIS KONDISI PERKERASAN JALAN MENGGUNAKAN METODE SURFACE DISTRESS INDEX (SDI) SEBAGAI DASAR PENENTUAN PEMELIHARAAN JALAN (Studi Kasus: Ruas Jalan Kadipaten-Bts Majaleka/Indramayu) Suparman Suparman; Juny Andry Sulistyo; Pratikso Pratikso
Jurnal Teknik Indonesia Vol 7, No 2 (2026): JTI (Jurnal Teknik Indonesia)
Publisher : Universitas Darul Ulum Islamic Centre Sudirman GUPPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61689/jti.v7i2.1247

Abstract

The Kadipaten–Majalengka/Indramayu Boundary Road is one of the provincial roads that plays a strategic role in supporting community mobility as well as the distribution of goods and services. The high traffic volume has the potential to accelerate pavement deterioration, making periodic pavement condition assessment essential for developing appropriate maintenance programs. This study aims to evaluate pavement conditions using the Surface Distress Index (SDI) method, identify the dominant types of pavement distress and their severity levels, and develop maintenance recommendations based on the existing pavement condition. This study employed a quantitative descriptive method with a field visual survey approach. The 20-km road section was divided into 40 segments, each 500 m in length. The survey data were analyzed using the SDI method to determine pavement condition, identify the types and severity of pavement distress, and formulate appropriate maintenance recommendations. The results indicate that the pavement condition was predominantly classified as good, covering 17,516.12 m (87.58%), followed by fair condition for 1,920.46 m (9.60%) and minor damage for 563.42 m (2.82%), with no sections classified as severely damaged. The road serviceability level reached 97.18%, while only 2.82% of the road was categorized as unserviceable. The dominant pavement distresses were settlement (47.40%), alligator cracking (26.97%), potholes (8.41%), rutting (7.79%), and bleeding (6.10%), with settlement identified as the most severe distress based on the SDI value. The recommended treatments include routine maintenance for pavement in good condition, periodic maintenance for fair condition, and rehabilitation for minor damage, while reconstruction is not required. The findings demonstrate that the SDI method provides an objective pavement condition assessment and serves as a reliable basis for developing condition-based pavement maintenance programs.
Co-Authors Abdul Rochim Agus Kosasih Budi Achmad Setiady Dwi Prasetyo Fajar Firmansyah firman aziz Gantas Kalistyo Gery Rizki Bijaksana Kartono Wibowo Moch. Haekal Bahri Muhammad Daffa Putra Susanto Pintor Tua Simatupang pratikso Pratikso Pratikso Putri Inna Wahidiyati Rachmat Mudiyono Reni Karno Kinasih Resmi Bestari Muin Rusmana Rusmana SITI NURHAFIDZA AKHMAD Suparman Suparman Surasa Waluya syaiful ahmadi Sylvia Indriany ZULFA NUR AINI