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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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Bridge Assessment Analysis using Sufficiency Rating Method (Case Study of The Mungkung Overpass) Lau, Debora; Aminullah, Akhmad; Triwiyono, Andreas
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 20 No. 1 (2024): May
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v20i1.71348

Abstract

Bridges play a crucial role in connecting various routes and water bodies, necessitating regular monitoring to prevent potential hazards and losses due to deterioration. In Indonesia employs the Bridge Management System (BMS) for decision-making regarding maintenance, repair, and replacement activities, its reliance on a limited set of criteria may lead to uncertainties in bridge condition assessmsents. This study explores the Sufficiency Rating (SR) method as an alternative for assessing bridge feasibility. By considering multiple factors, including structural adequacy, serviceability, functionality, and public interest, the SR method offers a comprehensive approach to bridge evaluation. An analysis of the Mungkung Overpass on the Ngawi Kertasono toll road was conducted to evaluate the effectiveness of the SR method. The findings classified the bridge as excellent, indicating no immediate need for treatment. However, the SR method has limitations, particularly in visually assessing damage to superstructure and substructure elements, which may introduce subjectivity. Overall, this research contributes to the ongoing development of bridge assessment methodologies in Indonesia, aiming to enhance decision-making processes and ensure the safety and longevity of bridge infrastructure. After analyzing the data obtained through the implementation of the SR method, it was revealed that S1 achieved a value of 45%, S2 achieved 23%, S3 achieved 12.7%, and S4 achieved 6%. The total actual value of the four parameters calculated based on the SR method was 74.7%, with a difference of 25.3% from the maximum value. These findings clearly illustrated that the bridge satisfied the criteria for deficiency, thereby necessitating comprehensive rehabilitation measures to be undertaken.
Analysis of supplier selection criteria using fuzzy analytical hierarchy process by contractors in Yogyakarta Tiblola, Lidya Iriani Thabita; Aminullah, Akhmad; Nugroho, Arief Setiawan Budi
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 30 No. 1 (2024): (May)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v30i1.68323

Abstract

One of the factors that can support the success of a project to be completed on time and within budget is the selection of the right supplier because the selection of the right supplier can ensure the availability of materials to maintain the production trajectory. Supplier selection is a multi-criteria problem where each criterion has a different importance and needs to be precisely known. It must combine other criteria consistent with company goals to achieve maximum supply chain performance. Therefore, it is necessary to evaluate the supplier performance criteria needed by each company. The purpose of this research is to prioritize factors that contractors can use in selecting suppliers so that construction entrepreneurs can determine which suppliers can perform from the best criteria. One supplier selection method is the Analytic Hierarchy Process (AHP) method. However, this method still has a problem in the form of subjective assessment results, thus requiring a method that can overcome these problems, namely the Fuzzy Analytic Hierarchy Process method. Based on the literature study results, this research identifies 18 factors that influence the selection of material suppliers, which are grouped into six categories: Delivery, quality, price, service, performance, and management. Data collection in this study used questionnaires distributed to 10 respondents and processed using the Fuzzy AHP method. Based on the data processing that has been done, it is obtained that the criteria that prioritize local contractors in Yogyakarta in selecting suppliers are quality criteria with a value of 0,380, followed by cost criteria with a value of 0,283, and delivery criteria with a value of 0,157.
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.
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