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All Journal Majalah Ilmiah Sultan Agung Jurnal Planologi Sultan Agung TEKNIK INFORMATIKA REKAYASA Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Pondasi JITEK (Jurnal Ilmiah Teknosains) APTEK Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Journal of Artificial Intelligence and Digital Business Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Keselamatan Transportasi Jalan Technema: Journal of Intelligent Engineering and Computing Jurnal Ilmiah Dinamika Rekayasa
Abdul Rochim
Universitas Islam Sultan Agung
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Physics Social Sciences Transportation Veterinary Other

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Analysis of Productivity and Costs of Heavy Equipment in Road & Drainage Work on The Marvel - 3 Unilever Oleochemical Indonesia Project Lazuardin Nukman Lubis; Kartono Wibowo; Abdul Rochim
Jurnal Planologi Vol 23, No 1 (2026): April 2026
Publisher : Universitas Islam Sultan Agung Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jpsa.v23i1.51223

Abstract

Heavy equipment productivity is a critical determinant of time and cost performance in road and drainage construction projects, particularly in industrial environments where operational restrictions may affect equipment efficiency. This study evaluates the productivity of heavy equipment used in road and drainage works at the Modern Cikande Industrial Estate, Banten, Indonesia, including excavators, dump trucks, motor graders, vibratory rollers, and foco trucks. The analysis combines field-measured cycle times, productivity calculations based on national standards, fleet balance analysis, and operating cost estimation. The results show that excavators, motor graders, vibratory rollers, and foco trucks achieved productivity levels close to or exceeding standard benchmarks, while dump truck productivity declined significantly due to speed restrictions imposed for safety reasons within the industrial area. The analysis identifies an optimal equipment configuration of one excavator and seven dump trucks, generating effective productivity of 27.23 m³/hour with an operating cost of IDR 3,265,205 per hour. The novelty of this study lies in its context-specific decision-support framework that integrates field productivity, safety constraints, equipment balance, and operational cost under restricted industrial operating conditions. The findings contribute practical guidance for contractors and project managers in improving fleet allocation and cost efficiency while maintaining compliance with industrial safety regulations.Keywords: heavy equipment productivity; fleet balancing; industrial construction; equipment management; operational efficiency; drainage construction.  Produktivitas alat berat merupakan faktor penentu yang krusial terhadap kinerja waktu dan biaya pada proyek konstruksi jalan dan drainase, khususnya di lingkungan industri yang memiliki pembatasan operasional yang dapat memengaruhi efisiensi alat. Penelitian ini mengevaluasi produktivitas alat berat yang digunakan pada pekerjaan jalan dan drainase di Kawasan Industri Modern Cikande, Banten, Indonesia, meliputi excavator, dump truck, motor grader, vibratory roller, dan foco truck. Analisis dilakukan dengan mengombinasikan pengukuran waktu siklus lapangan, perhitungan produktivitas berdasarkan standar nasional, analisis keseimbangan armada, serta estimasi biaya operasional. Hasil penelitian menunjukkan bahwa excavator, motor grader, vibratory roller, dan foco truck mencapai tingkat produktivitas yang mendekati atau melampaui standar acuan, sedangkan produktivitas dump truck mengalami penurunan signifikan akibat pembatasan kecepatan yang diterapkan untuk alasan keselamatan di kawasan industri. Analisis mengidentifikasi konfigurasi alat yang optimal, yaitu satu excavator dan tujuh dump truck, yang menghasilkan produktivitas efektif sebesar 27,23 m³/jam dengan biaya operasional sebesar Rp3.265.205 per jam. Kebaruan penelitian ini terletak pada kerangka pendukung keputusan yang spesifik terhadap konteks, yang mengintegrasikan produktivitas lapangan, kendala keselamatan, keseimbangan alat, dan biaya operasional dalam kondisi operasional industri yang terbatas. Temuan penelitian ini memberikan panduan praktis bagi kontraktor dan manajer proyek dalam meningkatkan alokasi armada dan efisiensi biaya, dengan tetap memenuhi ketentuan keselamatan di kawasan industri.Kata kunci: produktivitas alat berat; keseimbangan armada; konstruksi industri; manajemen peralatan; efisiensi operasional; konstruksi drainase.
An Artificial Neural Network Approach for Predicting Pavement Distress: A Case Study Toward Sustainable Road Maintenance Yogi Oktopianto; Antonius; Abdul Rochim
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.2133

Abstract

The Surface Distress Index (SDI) is a crucial parameter to consider when determining road conditions as part of an effective maintenance strategy. This study aims to develop an SDI prediction model using road surface distress data to enhance maintenance planning. The developed Artificial Neural Network (ANN) model resulted in an optimal structure with two hidden layers comprising 6 neurons and 4 neurons, respectively. The model was trained using two years of surface distress data collected from 40 road sections managed by the city’s road maintenance division. Variables used included Composition, Condition, Depression, Patches, Damage types, Crack Area, and Crack Width. The results demonstrated high accuracy in predicting SDI, with model performance achieving an R² of 0.87. This model can be applied to optimize the efficiency of road maintenance strategies.
Classification of Urban Road Damage Levels Using Surface Distress Index Parameters and K-means Algorithm Yogi Oktopianto; Antonius Antonius; Abdul Rochim
Jurnal Ilmiah Dinamika Rekayasa Vol. 22 No. 1 (2026): Jurnal Ilmiah Dinamika Rekayasa - Januari
Publisher : Engineering Faculty, UNSOED

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jidr.2026.22.1.61

Abstract

Road damage is a significant problem in many countries, including Indonesia, and it can affect safety, transportation efficiency, and the quality of life of communities, especially on urban roads. This study aims to develop a data-based model using the K-Means algorithm to detect and classify the levels of urban road damage based on the Surface Distress Index (SDI) parameter. The data used comprised 2,467 road segments containing information on the types and levels of damage over the past five years. The clustering model was designed with two and four clusters, and the results indicated that the four-cluster model provided a clearer and more representative separation of road conditions. The Silhouette Coefficient value of the four-cluster model is 0.513, indicating a more detailed and clearer separation compared to the two-cluster model with a Silhouette value of 0.423. The four cluster model is better at telling apart complex data structures than the two cluster model. The results of this study contribute to the development of a road condition monitoring system based on maintenance priority data categorized by road condition, which can be adapted to improve infrastructure policies in Indonesia and other developing countries.
Analysis of Replacing High-Volume Fill Material on A Ramp With Expanded Polystyrene (Eps) Geofoam on Soft Soil Dewanggana Aksatriyakula P.; Diar Hibatullah Tsabit; Rifqi Brillyant Arieft; Abdul Rochim
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Bridge approach embankments constructed on soft soil are susceptible to excessive settlement and instability due to the low strength and bearing capacity of the foundation soil. This study aims to evaluate the performance of Expanded Polystyrene (EPS) Geofoam as an alternative to conventional soil-fill embankments in terms of settlement, differential settlement, stability, and consolidation time. Analytical calculations and numerical modeling using PLAXIS 2D were conducted based on soil parameters obtained from the Terboyo Kulon site, Genuk District. The results show that the EPS embankment produced a vertical settlement of 0.31 m, compared with 0.71 m for the conventional soil-fill embankment. Differential settlement was reduced from 0.37 m for the soil-fill embankment to 0.18 m for the EPS embankment, representing a reduction of approximately 51%. The EPS configuration also produced a safety factor of 3.77, considerably higher than the 1.52 obtained for the conventional soil-fill embankment. Furthermore, the EPS embankment reached 90% consolidation within approximately 9.5 years, whereas the conventional soil-fill embankment required 68.49 years. The use of EPS Geofoam therefore provides a lightweight embankment solution that can improve the overall performance of bridge approaches constructed on soft soil. These findings indicate that EPS Geofoam can effectively reduce settlement and differential deformation while improving embankment stability and accelerating the consolidation process on soft foundation soil.
An Experimental Study on the Use of Foam Mortar to Improve the Bearing Capacity of Soft Soil Muhammad Faruk Bajri; Muhammad Rafa Saptono; Abdul Rochim; Muhammad Rusli Ahyar
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Soft clay soils generally exhibit low bearing capacity, high plasticity, and limited shear resistance, making stabilization necessary for construction applications. This study investigates the effect of foamed mortar addition at 0%, 15%, 20%, and 25% on the physical and mechanical properties of soft clay obtained from Semarang City, Indonesia. The research employed a quantitative experimental approach through laboratory testing, including grain-size analysis, Atterberg limits, direct shear testing, Standard Proctor compaction, and laboratory California Bearing Ratio (CBR). The untreated soil was dominated by clay-sized particles at 89.88% and exhibited a specific gravity of 2.487, liquid limit of 53.21%, plastic limit of 29.82%, and plasticity index of 23.39%. The untreated soil also showed an internal friction angle of 11.06°, optimum moisture content of 34.00%, maximum dry density of 1.27 g/cm³, and unsoaked CBR of 5.10%. Increasing the foamed mortar content substantially modified the grain-size composition and improved the mechanical performance of the soil. At 25% foamed mortar content, the internal friction angle increased to approximately 34.50°, while the maximum unsoaked CBR increased to 25.70%, approximately 5.04 times the untreated value. The findings demonstrate that foamed mortar is effective in improving the shear resistance and bearing capacity of soft clay, with the 25% mixture providing the highest documented mechanical performance.
Co-Authors Antonius antonius antonius Ardian Fachrurrozi Bambang Supriyadi Boedi Winarno Dewanggana Aksatriyakula P. Diar Hibatullah Tsabit Henny Pratiwi Adi Iswatun Hasanah Kartono Wibowo Khoiriya Latifah, Khoiriya Lazuardin Nukman Lubis Lisa Fitriyana Muhammad Abdul Khalim Muhammad Faruk Bajri Muhammad Rafa Saptono Muhammad Rusli Ahyar Neila Nafilah Rachmat Mudiyono Rachmat Mudiyono Rifqi Brillyant Arieft Ristianti Ristianti Sholahudin, Farhan Yogi Oktopianto