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All Journal Media Teknik Sipil Inersia : Jurnal Teknik Sipil dan Arsitektur JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Ilmiah Teknik Sipil Jurnal Ilmiah Desain & Konstruksi Jurnal Teknik Sipil Jurnal Teknosains Rekayasa Sipil Fondasi: Jurnal Teknik Sipil Jurnal Teknik Sipil Teras Jurnal Journal of the Civil Engineering Forum Civil Engineering Dimension SIKLUS: Jurnal Teknik Sipil Astonjadro Jurnal Riset Rekayasa Sipil Stabilita : Jurnal Ilmiah Teknik Sipil Fakultas Teknik Universitas Halu Oleo Kendari Spektrum Sipil Community Empowerment Journal of Civil Engineering and Planning (JCEP) Journal of Social Research Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil Journal of the Civil Engineering Forum Eduvest - Journal of Universal Studies
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 Other

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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.
Analisis Modal Operasional (OMA) pada Jembatan Concrete Box Girder Bentang 50 Meter dengan Perbandingan Metode Fast Fourier Transform (FFT) dan Enhanced Frequency Domain Decomposition (EFDD) Vallentino, Rizky; Aminullah, Akhmad; Suhendro, Bambang
Teras Jurnal : Jurnal Teknik Sipil Vol. 15 No. 2 (2025): Teras Jurnal (September)
Publisher : UNIVERSITAS MALIKUSSALEH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tj.v15i2.1286

Abstract

Abstrak   Jembatan merupakan infrastruktur vital dalam sistem transportasi yang memerlukan pemantauan kondisi struktural secara berkelanjutan. Penelitian ini bertujuan untuk menganalisis karakteristik dinamis jembatan box girder dengan bentang 50 meter menggunakan dua metode dalam Operational Modal Analysis (OMA), yaitu Fast Fourier Transform (FFT) dan Enhanced Frequency Domain Decomposition (EFDD). Data percepatan direkam oleh tiga sensor akselerometer yang dipasang pada satu bentang, dengan fokus pada sumbu vertikal (Z) untuk merepresentasikan respons struktur akibat eksitasi alami dari beban lalu lintas kendaraan (traffic-induced vibrations). Analisis menggunakan perangkat lunak PyOMA menunjukkan bahwa FFT mengidentifikasi dua frekuensi alami vertikal sebesar 2,672 Hz dan 3,207 Hz, sementara EFDD mendeteksi frekuensi sebesar 2,632 Hz dan 3,202 Hz, dengan selisih hanya 1,50% dan 0,16%. FFT efektif dalam memberikan gambaran awal terhadap spektrum frekuensi dan mendeteksi puncak dominan, sementara EFDD menawarkan kelebihan dalam memperkirakan redaman modal, mengekstraksi bentuk mode, serta mengidentifikasi mode yang berdekatan. Hasil ini menunjukkan bahwa kombinasi kedua metode mampu meningkatkan akurasi identifikasi modal dan mendukung penerapan sistem Structural Health Monitoring (SHM) berbasis data eksitasi alami secara efisien dan akurat.   Kata kunci: SHMS, Analisis Modal Operasional, PyOMA, FFT, EFDD     Abstract   Bridges are vital infrastructure in transportation systems that require continuous structural condition monitoring. This study aims to analyze the dynamic characteristics of a 50-meter span box girder bridge using two methods in Operational Modal Analysis (OMA), namely Fast Fourier Transform (FFT) and Enhanced Frequency Domain Decomposition (EFDD). Acceleration data were recorded by three accelerometer sensors installed on a single span, focusing on the vertical (Z) axis to represent the structural response due to natural excitation from traffic-induced vibrations. Analysis using the PyOMA software showed that FFT identified two vertical natural frequencies at 2.672 Hz and 3.207 Hz, while EFDD detected frequencies of 2.632 Hz and 3.202 Hz, with differences of only 1.50% and 0.16%, respectively. FFT is effective for providing an initial overview of the frequency spectrum and identifying dominant peaks, whereas EFDD offers advantages in estimating modal damping, extracting mode shapes, and identifying closely spaced modes. These results indicate that the combination of both methods can enhance the accuracy of modal identification and support the efficient and accurate implementation of Structural Health Monitoring (SHM) systems based on ambient excitation data.   Keywords: SHMS, Operational Modal Analysis, PyOMA, FFT, EFDD
Efektifitas Metode SSI Covariance dalam Sistem Pemantauan Kesehatan Struktur (SHMS) Jembatan Box Girder Bentang 40 Meter. Akbar, Muhammad; Aminullah, Akhmad; Awaludin, Ali
Teras Jurnal : Jurnal Teknik Sipil Vol. 15 No. 2 (2025): Teras Jurnal (September)
Publisher : UNIVERSITAS MALIKUSSALEH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tj.v15i2.1293

Abstract

Abstrak   Pemantauan frekuensi alami pada jembatan box girder bentang 40 meter merupakan langkah penting dalam memastikan stabilitas dan keselamatan struktur selama kondisi layanan aktual. Penelitian ini menerapkan metode Stochastic Subspace Identification (SSI) covariance untuk mengidentifikasi karakteristik dinamis struktur berdasarkan respons getaran akibat beban operasional kendaraan yang melintas. Data diolah tanpa eksitasi buatan, sehingga mencerminkan perilaku dinamis jembatan secara realistis. Hasil analisis menunjukkan frekuensi alami yang stabil dan konsisten pada rentang 3,88–3,89 Hz, baik dari masing-masing sensor maupun analisis gabungan. Temuan ini konsisten dengan hasil pemodelan numerik, yang memperkuat validitas metode SSI covariance sebagai pendekatan non invasif dalam pemantauan kesehatan struktur. Pendekatan ini menegaskan frekuensi alami sebagai indikator utama dalam mengevaluasi kondisi struktural jembatan secara akurat dan andal di bawah beban operasional nyata.   Kata kunci: SHMS, OMA, SSI covariance, Frekuensi Alami.   Abstract   Monitoring the natural frequency of a 40-meter span box girder bridge is essential to ensure the structural stability and safety under actual service conditions. This study applies the Stochastic Subspace Identification (SSI) covariance method to identify the dynamic characteristics of the structure based on vibration responses induced by operational vehicle loads. The data were processed without artificial excitation, thereby reflecting the realistic dynamic behavior of the bridge during operation. The analysis results indicate a stable and consistent natural frequency in the range of 3.88–3.89 Hz, observed across individual sensor measurements as well as in combined analysis. These findings are in good agreement with the numerical modeling results, strengthening the validity of the SSI covariance method as a non invasive approach in structural health monitoring. This approach emphasizes the role of natural frequency as a key indicator for accurate and reliable evaluation of bridge structural conditions under real operational loads.   Keywords: SHSM, OMA, SSI covariance, Natural Frequency
Construction Project Scheduling Optimization with Time-Cost Trade-Off Based on Genetic Algorithm in Python Mahendra, Didi Herianto; Aminullah, Akhmad; Ghuzdewan, Toriq Arif
Journal of Social Research Vol. 4 No. 10 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i9.2761

Abstract

Construction project delays frequently occur due to discrepancies between planned and actual implementation schedules under field conditions, where time and cost factors represent two primary obstacles that must be optimally managed. This study aims to develop a construction project scheduling optimization model based on Genetic Algorithms using Python programming to provide effective, efficient, and measurable solutions that achieve a balance between implementation time and project costs. The research method involves developing a construction project scheduling optimization model that considers the time-cost trade-off using a Python-based genetic algorithm, with a case study of the Sei Baru 1 Water Bridge Replacement Project in Belitung Regency. Data were obtained from PT. Billiton Hero Sukses Cemerlang in the form of wage and material prices, AHSP (Unit Price Analysis), RAB (Budget Cost Plan), as well as information on[A1] duration and acceleration costs through interviews. The research results demonstrate that the implementation of the NetworkX-CPM and Genetic Algorithm hybrid effectively optimizes construction project scheduling, achieving a cost reduction of 3.49% and duration reduction of 34.82% compared to normal conditions. The optimal GA parameters for this case were: population 50, generation 100, tournament 5, crossover 0.7, and mutation 0.2. The resource leveling process successfully balanced the distribution of daily labor requirements. All optimization results were validated through manual CPM calculations, remained free from constraint violations, and were supported by data visualization and automation integrated with Excel and Microsoft Project.
Perbandingan Waktu Proses Perencanaan Gedung Bertingkat Antara Menggunakan Dynamo dan Metode Konvensional pada Revit Kencana, Yoga; Ghuzdewa, Toriq Arif; Aminullah, Akhmad
Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil Vol. 14 No. 2 (2025): Cantilever (in progress)
Publisher : Department of Civil Engineering and Planning, Faculty of Engineering, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35139/cantilever.v14i2.452

Abstract

Building Information Modeling (BIM) is a computer-based technology that facilitates planning activities across various disciplines, including structural, architectural, and mechanical–electrical works. The implementation of BIM in construction projects requires a high level of accuracy to ensure cost efficiency and smooth workflow. This study aims to examine the time differences in material calculation processes using two different methods: the conventional Material Take-Off feature in Autodesk Revit and a custom plug-in developed using Dynamo. The study employs a 3D model of a three-story building as the test object. Work duration was measured using a stopwatch at the beginning of each calculation process to obtain more precise time records. The results indicate that the use of Dynamo significantly accelerates the calculation process, achieving a fivefold speed improvement compared to the conventional Material Take-Off method. Furthermore, the developed Dynamo script can be applied to projects of the same type but with different geometric forms. Therefore, the proposed script is expected to serve as a practical solution for enhancing accuracy and productivity in concrete work planning for BIM-based construction projects.
Field Static Loading Test on 40.8 m Span PCU Girder Bridge Yusuf, Effendi; Aminullah, Akhmad; Irawati, Inggar Septhia
ASTONJADRO Vol. 14 No. 3 (2025): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v14i3.18409

Abstract

Field load testing using static loading is widely applied as a non-destructive testing (NDT) method for bridge assessment due to its practicality and ability to provide immediate, on-site results. This approach is suitable for both new and old bridges, requiring strength evaluation to understand the behavior and fundamental characteristics of the bridge. In this paper, 40.8 span PCU Girder Bridge was tested with a static loading test to obtain key performance and response indicators, such as the maximum deflection of the bridge under static load. The research findings showed that the bridge’s maximum deflection was -13.8 mm from the field load test, indicating the bridge structure is below the design limit of -35.7 mm, confirming its capacity to support a 192-ton load. The experimental results indicate that the bridge remains within the elastic range when subjected to the planned test loads. This suggests that the bridge has sufficient load-bearing capacity. Additionally, these findings reflect the current condition of the structure, which can serve as a foundation for ongoing structural health monitoring and future maintenance of the bridge.
ANALISIS KETERLAMBATAN PROYEK KONSTRUKSI PADA PROYEK PLTMH KOKOQ BABAK BATUKLIANG UTARA KABUPATEN LOMBOK TENGAH: Analysis of Construction Project Delays at PLTMH Kokoq Babak Batukliang Utara Central Lombok District Aminullah, Akhmad; Setiawan, Agustono; Warka, I Gede Putu
Spektrum Sipil Vol 6 No 2 (2019): SPEKTRUM SIPIL
Publisher : Jurusan Teknik Sipil Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/spektrum.v6i2.152

Abstract

Penyelesaian proyek yang lebih lama dari jadwal yang telah disusun tentu saja akan membawa dampak langsung membengkaknya dana yang dibutuhkan untuk membiayai proyek. Tentu saja hal ini akan mengurangi reputasi pengembangnya sebagai pemilik proyek. Maka aspek-aspek yang menyebabkan keterlambatan pelaksanaan proyek perlu dianalisis lebih seksama. Dengan menguasai aspek-aspek tersebut tentunya akan memudahkan pihak-pihak terkait mengambil langkah pemecahan yang efisien. Dalam menganalisa aspek-aspek yang menyebabkan keterlambatan pelaksanaan jadwal proyek, aspek-aspek yang ditinjau adalah aspek-aspek teknis. Untuk mendapatkan data-data yang akurat sehubungan dengan materi Studi yang dilakukan, dibuat kuesioner yang diedarkan pada para responden yang terdiri dari Pihak-pihak yang terlibat langsung di dalam proyek. Data hasil isian kuesioner diuji perbedaan antar nilai rata-ratanya dengan uji F. Bila terdapat perbedaan antar Nilai rata-ratanya, nilai rata-ratanya akan diuji kembali dengan uji Least Significant Difference (LSD), Kemudian Metode kerjanya dievaluasi dengan membuat Time Schedule dengan Microsoft Project. Dari hasil uji F dan uji LSD, faktor yang paling menentukan keterlambatan pelaksanaan proyek adalah faktor Lain-lain yang terdiri dari aspek Keluhan dari tetangga, aspek Kurangnya Koordinasi dan aspek perubahan Konstruksi. Dan Penjadwalan dengan Microsoft Project menghasilkan Time Schedule yang lebih rinci sehingga alokasi waktu dan tenaga lebih jelas.
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.
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 Sari, Halima Irianti Puspita Suprapto Siswosukarto Suprapto Siswosukarto Suprapto Siswosukarto Tambunan, Reinhard Taufik, Panji Ginaya Tiblola, Lidya Iriani Thabita Toriq arif ghuzdewan Triyoso, Christopher Vallentino, Rizky WARKA, I GEDE PUTU Y. A. Adhitama Yusuf, Effendi Zulkifli, Rifdah Rofifah