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Aminullah, Akhmad
Civil And Environment Engineering Of Gadjah Mada University
Aerospace Engineering Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Neuroscience Public Health Social Sciences Transportation

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Pengaruh Variasi Hidden Layer Terhadap Nilai MAPE Pada Pengembangan Model Estimasi Biaya Menggunakan Artificial Neural Network: (Studi Kasus: Biaya Peningkatan Jalan Aspal di D.I. Yogyakarta) Kesuma, I Made Sutrisna Ari; Nugroho, Arief Setiawan Budi; Aminullah, Akhmad
Siklus : Jurnal Teknik Sipil Vol. 9 No. 2 (2023): Siklus: Jurnal Teknik Sipil
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/siklus.v9i2.14221

Abstract

Pekerjaan peningkatan jalan menjadi suatu kebutuhan yang tidak dapat dielakkan guna mendapatkan infrastruktur transportasi yang lebih handal. Dukungan perencanaan anggaran dan estimasi biaya yang baik oleh karenanya harus dilakukan. Model persamaan prediksi anggaran dan biaya dengan Artificial Neural Network (ANN) menjadi alternatif solusinya. ANN menuntut rancangan arsitektur jaringan yang tepat guna memperoleh model dengan tingkat akurasi yang tinggi. Penelitian ini bertujuan mengetahui jumlah efektif neuron dalam hidden layer yang memberikan hasil model persamaan ANN dengan tingkat akurasi tinggi dengan nilai Mean Absolute Percentage Error (MAPE) kecil. Pengembangan model didasarkan pada 33 data pekerjaan peningkatan jalan aspal di Provinsi Daerah Istimewa Yogyakarta dari tahun 2010 sampai dengan tahun 2021. Delapan belas variabel proyek yang berpengaruh signifikan terhadap total biaya pekerjaan digunakan sebagai data input model ANN dan dianalisis dengan berbagai variasi data model dan validator. Hasil penelitian menunjukkan bahwa variasi jumlah neuron dalam hidden layer menghasilkan nilai MAPE dengan pola tidak beraturan yang mana tingkat akurasi sangat dipengaruhi oleh data input dan validator. Namun demikian secara umum model dengan jumlah neuron dalam hidden layer 11/­3 kali lipat dari jumlah variabel input menjanjikan hasil akurasi paling tinggi.
Bridge Maintenance Strategy: Application of Bridge Condition Index (BCI) UK to Ngawi Kertasono Toll Road Bridge Sari, Halima Irianti Puspita; Siswosukarto, Suprapto; Aminullah, Akhmad
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 20 No. 2 (2024): December
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v20i2.70211

Abstract

In the context of toll road infrastructure, bridges are essential for connecting two distinct sections and ensure the toll road functioning properly. Therefore, to accomplish that objective and, at the same time, optimize the allocation of limited funds for maintenance, bridges require a proper maintenance priority strategy. However, in Indonesia's Bridge Management System (BMS), the importance weight of the bridge elements has not yet been used and the final result still causes bias while assembling the rankings of handling priorities. The Bridge Condition Index (BCI), developed in the United Kingdom, offers a bridge handling priority system that is determined by the importance of each bridge element. To determine the effectiveness of the BCI UK method, an analysis was carried out using the results of a visual inspection of five river bridges located on the Ngawi Kertasono toll road. According to the handling ranking result, Kedungrejo Bridge appears to be on the first rank with the dominant defect occurred on the pier element. Sukoharjo Bridge, on the other hand, has the dominant defect happened in the carriageway surfacing and is ranked last. The outcomes itself indicate that bridges with defects in critical elements, which can affect the structural stability of the bridge, will be prioritized to be repaired prior to bridges with non-structural element damages. Moreover, suitable repair recommendations can be made based on the type and severity of the damage itself. Furthermore, this result is expected to be taken into account while developing the Indonesian bridge management system in the future.
Experimental Study of Cable Force Measurement on Cable-Stayed Bridges Based on Vibration Method Aisyah, Aisyah; Suhendro, Bambang; Aminullah, Akhmad
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 20 No. 2 (2024): December
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v20i2.67731

Abstract

This study investigates cable force estimation in cable-stayed bridges through a vibration-based approach, utilizing experimental data measured using an accelerometer sensor. In the initial phase of the research, the frequency data measured by accelerometers is validated through numerical modeling using the Midas Civil software. Additionally, besides employing the string formula, this study adopts formulas proposed by [1] to predict cable forces in two cable-stayed bridges in Indonesia. The estimated cable forces using both formulas are then compared with the actual cable forces measured during the lift-off test.The analysis results indicate that most of the cable frequency data is valid, with differences of less than 7% between the measured frequencies and numerical results. However, a significant difference is observed in one cable, BA-M11, with differences of up to 50.9%. This suggests that the mode order and frequency values measured for this cable are not valid. Through a numerical approach, accurate mode orders and frequencies are determined, enabling confident use of the measurement data for cable force estimation in the case of cable BA-M11.Furthermore, when the validated mode orders and frequency values are used with both the string formula and Yu's proposed formulas, the results show that Yu's formulas tend to provide more accurate estimations compared to the string theory, with average differences in cable force estimation of approximately 4.33% and 2.97% relative to the lift-off force.The contribution of this research lies in the utilization of numerical verification to correct inaccuracies in accelerometer-measured mode orders and frequency values. Subsequently, armed with validated mode orders and frequency values, Yu's proposed formulas demonstrate superior accuracy in predicting cable forces compared to the string theory when both are compared with lift-off test data.
PENEMPATAN SENSOR AKSELEROMETER PADA JEMBATAN MERAH PUTIH Lautan Wijaya Nusantara, Johan; Aminullah, Akhmad; Siswosukarto, Suprapto
Jurnal Teknik Sipil Vol. 18 No. 1 (2024)
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jts.v18i1.10354

Abstract

Kegiatan monitoring pada jembatan perlu dilakukan sebagai upaya dalam menjamin keamanan jembatan. Secara umum terdapat dua metode monitoring kesehatan struktur jembatan yaitu dengan melakukan Loading Test secara langsung dan melalui Structural Health Monitoring System (SHMS) yang dapat dipantau secara real time dan kontinu. Salah satu sensor yang penting dan populer dalam kegiatan SHMS adalah akselerometer. Data dari sensor tersebut dapat diproses lebih lanjut untuk mengetahui nilai frekuensi struktur, mode shape, dan displacement yang terjadi. Hal tersebut bermanfaat dalam pemantauan kesehatan struktur jembatan secara keseluruhan dan dapat dijadikan dasar penetapan kebijakan untuk pemeliharaan jembatan, serta penyusunan tindakan preventif dan kuratif. Penempatan sensor yang baik dengan jumlah sensor yang tepat harus ditentukan untuk mengetahui perilaku struktur yang sebenarnya dengan biaya yang minimal. Penelitian ini bertujuan untuk mengevaluasi penempatan sensor akselerometer pada dek Jembatan Merah-Putih yang memiliki tipe double pylon cable stayed dengan bentang 300 m yang terletak di Kota Ambon, Provinsi Maluku, Indonesia. Empat metode Optimal Sensor Placement (OSP) telah dilakukan yaitu dengan Effective Independence (EI) Method, Eigenvalue Component Product (ECP), Mode Shape Summation Plot (MSSP) Method, serta Effective Independence – Drive Point Residu (EI-DPR) Method. Dari keempat metode tersebut, didapatkan bahwa penempatan sensor yang paling optimal didapatkan dari metode EI dengan jumlah sensor yang optimal adalah berjumlah 10. Konfigurasi sensor tersebut memiliki performa yang sedikit lebih baik dari konfigurasi sensor eksisting.
Developing Building Management System Framework using Web-based-GIS and BIM Integration Brigitta Petra Kartika Narindri; Arief Setiawan Budi Nugroho; Akhmad Aminullah
Civil Engineering Dimension Vol. 24 No. 2 (2022): SEPTEMBER 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (705.419 KB) | DOI: 10.9744/ced.24.2.71-84

Abstract

Building Information Modeling (BIM) and Geographic Information systems (GIS) are two digital system innovations advantageously applied in the Architecture, Engineering, Construction, and Operations (AECO) sectors. GIS and BIM integration development is indispensable in building and infrastructure management. This integration promises several benefits for the operational phase of buildings and infrastructures. However, it faces challenges in data transformation and collaboration. This study proposes a framework and model for a web-based building management platform. The framework is developed by transforming BIM data into the GIS environment using the latest technology from ArcGIS. It allows data-sharing and collaboration among stakeholders, help build management, and is valuable for decision-making. The stakeholders, who do not need a BIM-GIS expert, could virtually see the report and updates of this building model every time.
Implementation of Building Information Modeling (BIM) for Bridge Abutment Cost Estimation Considering QTO Validity Pratama, Herdian; Aminullah, Akhmad; Handayani , Tantri Nastiti
Eduvest - Journal of Universal Studies Vol. 5 No. 5 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i5.51142

Abstract

This study investigates the application of Building Information Modeling (BIM) for cost estimation of bridge abutment structures, focusing on the validity of Quantity Take-Off (QTO). Poor QTO accuracy is a critical issue in construction projects, often leading to discrepancies in material estimates and cost overruns. This research aims to compare the conventional QTO methods with BIM-based QTO for the X bridge abutment structure, focusing on the accuracy of material quantities such as concrete and steel reinforcement. The methodology uses Autodesk Revit for 3D BIM modeling, clash detection with Autodesk Navisworks Manage, and QTO accuracy evaluation through the Mean Absolute Percentage Error (MAPE). The findings show that BIM-based QTO produces more accurate results, with deviations of 7.73% for sand and concrete, and 9.39% for reinforcement steel compared to conventional methods. These results highlight BIM’s potential to improve cost estimation accuracy in infrastructure projects, reducing the risk of underpayments or overpayments. The research implications suggest that BIM adoption could enhance efficiency and accuracy in Indonesian construction projects, offering significant benefits for cost management and project execution. This study contributes to understanding BIM's role in bridge construction cost estimation and emphasizes its practical advantages over traditional methods.
Pendekatan Artificial Neural Network untuk Mengestimasi Dimensi Optimum dan Rasio Tulangan Gedung Harahap, Kinanti Faradiba; Aminullah, Akhmad; Priyosulistyo, Henricus
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 18 No. 1 (2022): Mei
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v18i1.45481

Abstract

The conceptual design stage is necessary because it is considered as a fundamental input in decision making for maximizing the performance of a building. On the other hand, to maximize the performance of the building, there are many things that need to be considered. Therefore, an estimation of the optimum dimensions and the reinforcement ratios of beam and column was carried out at the conceptual design stage using the artificial neural network (ANN). ANN is a network based method that allows to get an accurate approach even with the limited information provided. This study aims to help engineers shorten the time for trial at the conceptual design stage. A total of 36 building variations modelling were prepared as the training data for the set up ANN model. Eight parameters used which consist of earthquake accelarations, soil sites class, joint types, beam spans, number of storey, high of storey,  concrete strengths and diameters of the reinforcement. There are 16 empirical formulas for estimating the optimum dimensions and the reinforcement ratios of beam and column. The results showed that the dimensional regression values and the reinforcement ratio were 98.53% and 96.06% respectively. This value indicates that ANN can estimate well.
Demand Analysis of Material, Construction Equipment, and Labor on the Superstructure of Type I-Girder Bridge Tambunan, Reinhard; Aminullah, Akhmad; Sulistyo, Djoko
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 18 No. 2 (2022): December
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v18i2.53651

Abstract

Infrastructure development is one of the government's main national priority programs to support economic growth and community welfare. One of the issues encountered related to infrastructure development is that the supply chain capacity of material resources, construction equipment, and labor is not yet ideal. The purpose of this study is to analyze the demand for materials, construction equipment, and labor in the construction work of the superstructure of the bridge. This study used secondary data from some bridge construction work packages obtained from the Directorate General of Spatial Planning and Development, Ministry of Public Works. The research step consists of 7 stages. The total number of research samples is 33 consisting of 15 materials (xn), 15 construction equipment (yn), and 3 labor (zn). Of the five bridge construction work packages that meet the research requirements, the type of materials with the largest total demand is cement (x3) 4.904.156,13 kg and asphalt (x5) 578.620,64 kg. Meanwhile, the results of the construction equipment demand analysis show that the heavy equipment with the longest total operational time is dump trucks (y5) 9.395,61 hours and cranes (y12) 2.942,98 hours. From the analysis of demand labor, it is known that the total working time required is workers (z1) 251.753,97 hours, handyman (z2) 151.209,71 hours, and foreman (z3) 59.303,11 hours.  In addition, from the five construction work packages, the prestressed concrete I (PCI) girder with the longest size is 45 meters with 35 pieces, while the PCI girder with the shortest size is 20.6 meters with 14 pieces. In terms of needs, the highest number of PCI girders is 42 pieces, and PCI girders with a minimum number of 10 pieces.
Development of Cloud Point Data Processing Program for 3D BIM and 2D Cross Section Needs Mufid Kusuma, Muhammad Farhan; Aminullah, Akhmad; Sulistyo, Djoko
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 19 No. 1 (2023): May
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v19i1.54210

Abstract

The need for technological developments is needed to facilitate performance, accuracy, and effectiveness of work, especially in the field of civil engineering, is needed. With the emergence of innovative LiDAR (Light Detection and Ranging) technology scanners that are popularly used for 3D printing, developed into LiDAR Scanners for real field scanning. The result of using a LiDAR Scanner is in the form of point cloud data in a certain format, with a large enough memory. The purpose of this research is to use field point cloud data as 3D BIM data and then form a cross-section of the object. For this purpose, a special program is needed that functions to process cloud point data complexly, and is easy to use to change the shape of cloud point data to 3D data surface and 2D cross sections. The method used in this study is by creating a special program to process data point clouds using script code with the python language and several data point cloud processing libraries. In the program, 2 sub-menus will be created with certain functions: 1) Point Cloud (voxel downsampling, outlier reduction, normalize); 2) 3D model (ball pivoting/poisson surface, reduce vertex, slice mesh, transform mesh). In each data processing, the created program can only process on a specific file format; for point cloud processing in .xyz, .xyzn, .xyzrgb, .pts, .ply, .pcd formats; while for 3D data processing models are in .ply, .stl, .obj, .off , .gltf/glb format. The result of data processing using the created program can be a 3D surface with .ply /.obj format, and for cross-section generated 2D data with .jpg / .png format, and can be in the form of .dxf data for Autocad software. 3D surface data can be used as BIM data, while 2D cross-section data can be used as built 2D.
Long-Term Health Monitoring Data Processing on Post-Tensioned Concrete Box-Girder Bridge by Wavelet-Based Zulkifli, Rifdah Rofifah; Aminullah, Akhmad; Satyarno, Iman
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 19 No. 1 (2023): May
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v19i1.54918

Abstract

The concrete box-girder bridge is designed to have a long service life of around 100 years. To ensure safety and performance degradation during long service life, a Structural Health Monitoring System (SHMS) has been implemented in the box-girder bridge. SHMS can reliably assess structural response due to real-time applied loads, detect anomaly activities and locate the structural damage in the structure. Several sensors have been implemented in the bridge to continuously record the behavior of the bridge in all environmental conditions. Due to real-time natural conditions, false alarms occur frequently in SHM due to the disruption of noises and lead to misunderstanding of who is evaluating. Nevertheless, numerous SHM data that have been collected make it complicated to determine the anomaly of the structures. Therefore, it required signal processing to maximize the potentialities of the massive SHM data, as well as the efficiency of the time work. In this study, wavelet transformation, a rapid and unsupervised signal processing approach, was used to analyze the huge signal data by removing noise, and separating different signal sources as well. Further, with time-frequency analysis and multi-resolution capabilities, the transformation of wavelet is a promising tool for analyzing long-term SHM data. The suggested approach is shown by using long-term strain data from a 40 m concrete box-girder bridge in 24h. The results showed that after the denoising process, the highest discrepancy between the reconstructed and original strain signal is 2.73 μƐ and lost their energy less than 1%. Hence, the strain gauge sensor was successfully able to eliminate the noise through wavelet technology.
Co-Authors Agustono Setiawan Ahmad Rifa`i Aisyah Aisyah Ali Awaludin Ali Awaludin Almulianur Almulianur Andreas Triwiyono Angga Fajar Setiawan Annisa Azhar Firdausi Arief Setiawan Budi Nugroho Arif Setiawan Budi Nugroho Ashar Saputra Astalis Ulul Absor, Didib Baehaki Baehaki Baehaki _ Bambang Agus Kironoto Bambang Suhendro Bambang Suhendro Bambang Supriyadi Brigitta Petra Kartika Narindri Danang Parikesit Djoko Sulistyo Djoko Sulistyo Ghuzdewa, Toriq Arif ghuzdewan, Toriq arif Handayani , Tantri Nastiti Harahap, Kinanti Faradiba Henricus Priyosulistyo, Henricus Iman Satyarno Irawati, Inggar Septhia K. T. N. Gherry Kencana, Yoga Kesuma, I Made sutrisna Ari Kinanti Faradiba Harahap KMS. M. Rama Perwira Lau, Debora Lautan Wijaya Nusantara, Johan M. Fauzi Darmawan Mahendra, Didi Herianto Maulana Agung Sedayu Mufid Kusuma, Muhammad Farhan Muhammad Akbar Muslikh Muslikh Ni Nyoman Nepi Marleni Nugroho, Arief Setiawan Budi Nurul Alvia Istiqomah Panji Ginaya Taufik Panji Krisna Wardana Pratama, Herdian Rachmad Jayadi Raka Bagus Panuntun Ratih Dewanti restu faizah Risang Aji Dananjoyo Sanjaya, Rudi Sari, Halima Irianti Puspita Suprapto Siswosukarto Suprapto Siswosukarto Suprapto Siswosukarto Tambunan, Reinhard Taufik, Panji Ginaya Toriq arif ghuzdewan Triyoso, Christopher Vallentino, Rizky WARKA, I GEDE PUTU Y. A. Adhitama Yusuf, Effendi Zulkifli, Rifdah Rofifah