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Sifat Fisik dan Mekanik Mortar dengan Campuran Serutan Karet Ban Bekas Berbagai Merk Restu Faizah; Henricus Priyosulistyo; Akhmad Aminullah
Jurnal Teknik Sipil Vol 27 No 2 (2020)
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jts.2020.27.2.2

AbstractThe used rubber tire is one of the waste that becomes an environmental problem because the amount is abundant, while the utilization is still minimal. There are several tire brands in Indonesia, such as Goodyear, Dunlop, Pirelli, Yokohama, Gajah Tunggal, MRF, Bridgestone, and Michelin. This research investigates the physical and mechanical properties of mortars mixed with various brands (A, B, C, and D) of rubber tire crumbs (SKBB). The specimens are 15 pcs of mortar cylinder with 10 cm in diameter and 20 cm in height consisted of SKBB-mortars (12 pcs) and standard mortars (3 pcs). Initially, the SKBB is filtered using a #4-sieve (4.75 cm) and then mixed in mortar mixtures as a partial substitute of sand by 40% of the sand volume. Physical and mechanical properties test consist of density, compressive strength, modulus of elasticity, and ductility. The results showed that all of SKBB-mortars were lightweight mortars with densities of 1584.4 - 1701.1 kg/m3. The addition of all brands of SKBB into mortar mixtures can reduce density, compressive strength, and modulus of elasticity, but increase the ductility of the mortars. The B brand of SKBB is considered as the best choice as a replacement material of the part of sands to get the SKBB-mortar having good strength and ductility. To obtain a mortar-SKBB having properties of more strength and more ductile, it can be chosen a used rubber tire having low density and low shear modulus.AbstrakKaret ban bekas merupakan salah satu limbah yang jumlahnya sangat melimpah, namun pemanfaatannya masih sangat terbatas. Ban bekas yang beredar di Indonesia memiliki beragam merek, antara lain Goodyear, Dunlop, Pirelli, Yokohama, Gajah Tunggal, MRF, Bridgestone, Swallow dan Michelin. Penelitian ini memeriksa sifat fisik dan mekanik mortar dengan campuran serutan karet ban bekas (SKBB) dari berbagai merek (A, B, C, dan D). Benda uji berupa 15 buah silinder mortar dengan diameter 10 cm dan tinggi 20 cm, yang terdiri dari 12 buah mortar SKBB dan 3 buah mortar normal. Bahan SKBB disaring terlebih dahulu menggunakan saringan no.4 (4,75 cm) dan dicampurkan pada adukan mortar sebagai bahan pengganti sebagian pasir sebesar 40% volume pasir. Sifat-sifat fisik dan mekanik yang diuji meliputi densitas, kuat tekan, modulus elastisitas dan daktilitas. Hasil pengujian menunjukkan bahwa mortar SKBB semua merek merupakan mortar ringan dengan densitas antara 1584,4 "“ 1701,1 kg/m3. Penambahan SKBB semua merek pada adukan mortar dapat menurunkan densitas, kuat tekan dan modulus elastisitas mortar, namun meningkatkan daktilitasnya. SKBB merek B dinilai sebagai pilihan terbaik untuk digunakan sebagai bahan pengganti sebagian pasir pada mortar, untuk memperoleh mortar SKBB yang memiliki kekuatan dan daktilitas yang baik. Untuk mendapatkan mortar SKBB yang memiliki kuat tekan lebih tinggi dan memiliki sifat lebih daktail, dapat dipilih karet ban bekas sebagai bahan campuran mortar, yang rendah densitas dan modulus gesernya.

Bridge Displacement Estimation using Tiltmeter Data Raka Bagus Panuntun; Akhmad Aminullah; Bambang Suhendro; Panji Krisna Wardana
Journal of the Civil Engineering Forum Vol. 5 No. 2 (May 2019)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, UGM

Structural Health Monitoring System (SHMS) works as an efficient platform for monitoring health condition and and deterioration of civil structures during long-term service periods. One of the sensors is currently applied to Soekarno Bridge is tiltmeter. Vertical displacement data are often required to reflect the overall response of bridge span, however the Soekarno Bridge does not have any displacement sensor. On the other hand, the displacement sensor is very costly compared to tiltmeter. A method is proposed to estimate bridge displacement using data that is collected through tiltmeter. The method is using interpolation and numerical integration to evaluate the displacement. The result shows that the result obtained from the proposed method is reliable with accuracy of displacement around 5 mm. Some recommendations for further implementation of the sensors are provided.

Estimasi Biaya Struktur Gedung Rumah Sakit dengan Bentuk Persegi Panjang Menggunakan Metode Artificial Neural Network Ratih Dewanti; Akhmad Aminullah; Henricus Priyosulistyo
Journal of Civil Engineering and Planning (JCEP) Vol 2 No 2 (2021)
Publisher : Program Studi Sarjana Teknik Sipil Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/jcep.v2i2.5351

Estimasi biaya struktur memiliki peran penting pada tahap perencanaan. Penelitian ini memanfaatkan metode Artificial Neural Network (ANN) sebagai metode pendekatan untuk menghasilkan estimasi biaya struktur gedung yang keakuratannya dapat diuji. Permodelan gedung merupakan struktur beton bertulang dengan model tipikal bentuk persegi panjang yang berfungsi sebagai gedung rumah sakit. Estimasi biaya struktur terdiri dari biaya pekerjaan balok, kolom dan pelat. Tahap pelatihan permodelan ANN menggunakan 60 variasi data dari pengembangan variabel penelitian berupa luas lantai, jumlah lantai, tinggi kolom, kelas situs, dimensi balok dan dimensi kolom. Hasil permodelan ANN menunjukkan estimasi biaya struktur lebih sensitif terhadap variabel dimensi balok dan kolom. Permodelan ANN estimasi biaya struktur menghasilkan nilai persentase error/MMRE sebesar ±1,55% pada data learning dan ±9,75% pada data uji random.

STUDI EKSPLORASI FAKTOR-FAKTOR KESUKSESAN PROYEK KONSTRUKSI DI INDONESIA Annisa Azhar Firdausi; Toriq arif ghuzdewan; Ashar Saputra; Akhmad Aminullah
Journal of Civil Engineering and Planning (JCEP) Vol 1 No 2 (2020)
Publisher : Program Studi Sarjana Teknik Sipil Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/jcep.v1i2.1493

The high rate of growth of the construction sector in Indonesia has not been matched by its level of success. Problems are still found in many construction projects that result in project unsuccessfulness, including time loss and bad quality work. In order to support the success of construction projects in Indonesia, the aim of this study is to determine the critical factors that influence the success of construction projects in Indonesia. Data collection through questionnaires on 417 respondents who were directly involved in the project. The questionnaire was based on 4 previous studies, measured by a 5-point Likert scale of agreement and consisting of 64 project success variables. The analysis was performed using the Exploratory Factor Analysis (EFA). The results of this study indicate that there are 6 factors that influence the success of construction projects in Indonesia, namely: (1) Factors related to the Project Manager; (2) Factors related to the Contractor; (3) Factors related to Supervisors; (4) factors related to the project; (5) Factors related to Owner; and (6) Factors related to Owner2. Keywords : construction project, project success, critical success factor, EFA

DESIGN PHASE OF A CYLINDRICAL LONG-SPAN COAL SHED WITH STEEL ARCH SPACE-TRUSS STRUCTURE Angga Fajar Setiawan; Akhmad Aminullah; Ali Awaludin; K. T. N. Gherry; Y. A. Adhitama; M. Fauzi Darmawan
Jurnal Riset Rekayasa Sipil Vol 5, No 2 (2022): Maret 2022
Publisher : Civil Engineering Study Program, Engineering Faculty Universitas Sebelas Maret

This paper discusses the structural design phase of a long-span coal shed structure in a 2x50 MW steam power plant. This study aims to share knowledge on how to design a long-span coal shed structure safely based on the design standards. The main structural system of the coal shed roof is a steel arch space-truss with 120 m of span and 31 m of height above supporting 12.5 m height of reinforced concrete columns. The superstructure contains a roof system and reinforced concrete system. The substructure system consists of a tie beam, pile cap, and bore pile. In the numerical model, all structural members were idealized as frame elements, except the pile cap that to be idealized as shell elements. Then, the soil springs were assigned to the bore pile element nodals with a 1 m interval to simulate the soil-structure interaction. The gravity loads due to dead loads, additional dead loads, live loads, rain loads, and lateral loads due to wind action and earthquakes to be considered. Furthermore, the structural analysis was conducted with non-linear geometric to simulate the large displacement effects and tension only element of the wind bracing. In addition, a simplified method to estimate the structural stability under lateral load was conducted. Based on the structural analysis and structural design, the coal shed structure could fulfill the safety criteria in terms of ultimate and serviceability limit based on the design code criteria. Furthermore, the non-linear geometry and stability issue should be considered with an appropriate structural analysis method.

Pendekatan Artificial Neural Network untuk Mengestimasi Dimensi Optimum dan Rasio Tulangan Gedung Kinanti Faradiba Harahap; Akhmad Aminullah; Henricus Priyosulistyo
Inersia: Jurnal 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

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.

Study of community-based waste management strategy determination in Magelang City Ni Nyoman Nepi Marleni; Nurul Alvia Istiqomah; Bambang Agus Kironoto; Bambang Suhendro; Akhmad Aminullah; Danang Parikesit; Ahmad Rifa`i
Community Empowerment Vol 7 No 5 (2022)
Publisher : Universitas Muhammadiyah Magelang

The city of Magelang is having trouble providing Final Disposal Sites (TPA), as the Banyuurip TPA's storage capacity has reached its limit and expansion is no longer possible. The only approach to reduce garbage production and residue transferred to landfills is to engage the community and all other stakeholders in waste management. This program intends to develop a waste management strategy in Magelang City starting with the smallest units, namely RT and RW. According to the findings, waste management solutions for the community of RW 02, Magelang Village, Central Magelang District may be classified as socialization strategies, work plans or regulations, resource procurement, cooperation, and empowerment. Furthermore, the study's findings reveal that an effective strategy must include multiple activities that operate concurrently, progressively, and sustainably, as well as the participation of various parties (community, local government, and universities) in assuring effective management implementation.

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

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.

Estimasi Dimensi Optimum dan Rasio Tulangan Gedung Hotel Yogyakarta dengan Artificial Neural Network Akhmad Aminullah; Kinanti Faradiba Harahap; Henricus Priyosulistyo
Rekayasa Sipil Vol. 16 No. 3 (2022): Rekayasa Sipil Vol.16. No.3
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2022.016.03.5

Cost estimation at the conceptual design stage of a building is necessary because it is considered as a fundamental input in further decision making. This paper presented a neural network method in approximating the optimum dimension and the minimum reinforcement ratio of beams and columns at the conceptual design stage of hotel buildings in Yogyakarta. A group of 27 building variations were prepared as the training data for the set up neural network model. Fourteen empirical formulas were obtained which could be used to estimate the optimum dimension and minimum reinforcement ratio of beams and columns with 5 parameters which consist of soil sites class, beam spans, number of floors, concrete strengths and diameters of the reinforcing bar.

STUDI EKSPLORASI FAKTOR-FAKTOR KESUKSESAN PROYEK KONSTRUKSI DI INDONESIA Annisa Azhar Firdausi; Toriq arif ghuzdewan; Ashar Saputra; Akhmad Aminullah
Journal of Civil Engineering and Planning (JCEP) Vol. 1 No. 2 (2020)
Publisher : Program Studi Sarjana Teknik Sipil Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/jcep.v1i2.1493

The high rate of growth of the construction sector in Indonesia has not been matched by its level of success. Problems are still found in many construction projects that result in project unsuccessfulness, including time loss and bad quality work. In order to support the success of construction projects in Indonesia, the aim of this study is to determine the critical factors that influence the success of construction projects in Indonesia. Data collection through questionnaires on 417 respondents who were directly involved in the project. The questionnaire was based on 4 previous studies, measured by a 5-point Likert scale of agreement and consisting of 64 project success variables. The analysis was performed using the Exploratory Factor Analysis (EFA). The results of this study indicate that there are 6 factors that influence the success of construction projects in Indonesia, namely: (1) Factors related to the Project Manager; (2) Factors related to the Contractor; (3) Factors related to Supervisors; (4) factors related to the project; (5) Factors related to Owner; and (6) Factors related to Owner2. Keywords : construction project, project success, critical success factor, EFA

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