Journal of Engineering and Technological Sciences
Journal of Engineering and Technological Sciences welcomes full research articles in the area of Engineering Sciences from the following subject areas: Aerospace Engineering, Biotechnology, Chemical Engineering, Civil Engineering, Electrical Engineering, Engineering Physics, Environmental Engineering, Industrial Engineering, Information Engineering, Mechanical Engineering, Material Science and Engineering, Manufacturing Processes, Microelectronics, Mining Engineering, Petroleum Engineering, and other application of physical, biological, chemical and mathematical sciences in engineering. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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Formerly known as:
ITB Journal of Engineering Science (2007 – 2012)
Proceedings ITB on Engineering Science (2003 - 2007)
Proceedings ITB (1961 - 2002)
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Study of Constrained Velocity Inversion of Seismic Data in North Sumatra Basin
Tabah Fatchur Rubiyana;
Budi Eka Nurcahya
Journal of Engineering and Technological Sciences Vol. 53 No. 1 (2021)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
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DOI: 10.5614/j.eng.technol.sci.2021.53.1.5
Interval velocity analysis increases the precision of seismic velocity data with a complex structure and a high variation of velocity both laterally and vertically. In this study, interval velocity analysis was performed by applying the exponential asymptotically bounded function approach. An exponentially asymptotically bounded function was applied to calculate the interval velocity obtained from the root mean square velocity of seismic data using the Dix equation for conversion. To control this operation, a velocity constraint was applied in the interval velocity conversion. The velocity constraint used was the velocity trend gained from the root mean square velocity. This method is called constrained velocity inversion. In this study, interval velocity analysis using constrained velocity inversion was applied to seismic data from the North Sumatra Basin area. The seismic data interpretation resulted from the interval velocity analysis using constrained velocity inversion described the subsurface structure clearly. A corresponding anomaly at a time depth from 2000 ms to 2400 ms in the seismic time-domain data indicated a fault beneath an anticline. This result indicates that the interval velocity analysis of seismic data is more rigorous than the root mean square velocity analysis.
Synthesis of Bio-hexane and Bio-Hexene from Sorbitol Using Formic Acid as Reducing Agent
Michael Gunawan;
Tedi Hudaya;
Tatang Hernas Soerawidjaja
Journal of Engineering and Technological Sciences Vol. 53 No. 1 (2021)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
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DOI: 10.5614/j.eng.technol.sci.2021.53.1.6
Sorbitol (C6H14O6) is a sugar alcohol that can be synthesized from cellulose and has a similar skeletal structure as hexane (C6H14) so that it can straightforwardly be converted to hexane through deoxygenation. The bio-hydrocarbon synthesis from sorbitol in this investigation consisted of two main processes, namely synthesis of 2-iodohexane and deiodization of 2-iodohexane. The synthesis of 2-iodohexane from sorbitol and hydroiodic acid (HI) was conducted in a reflux system, to which formic acid as reducing agent was added gradually during the reaction to regenerate the iodine back to HI. The HI/sorbitol ratio (2:1 and 5:1), reaction temperature (90 °C, 105 °C, and 120 °C), and reaction time (between 2 and 6 hours) were varied throughout the experiment. Deiodization of 2-iodohexane was conducted via gas phase pyrolysis at various temperatures (265 °C to 285 °C) and reaction times (30 and 45 minutes). The sorbitol was effectively converted to a mixture of 2-iodohexane, hexane and other bio-hydrocarbons, with a 2-iodohexane yield of 23.15%. In the optimal reaction condition, pyrolysis of 2-iodohexane resulted in bio-hydrocarbon with a yield of 77.52%. The resulted hydrocarbon products were mixtures consisting of alkanes and alkenes.
Global Inversion of Grounded Electric Source Time-domain Electromagnetic Data Using Particle Swarm Optimization
Cahyo Aji Hapsoro;
Wahyu Srigutomo;
Acep Purqon;
Warsa warsa;
Doddy Sutarno;
Tsuneomi Kagiyama
Journal of Engineering and Technological Sciences Vol. 53 No. 1 (2021)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
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DOI: 10.5614/j.eng.technol.sci.2021.53.1.1
Global optimization inversion of grounded wire time-domain electromagnetic (TDEM) data was implemented through application of the particle swarm optimization (PSO) algorithm. This probabilistic approach is an alternative to the widely used deterministic local-optimization approach. In the PSO algorithm, each particle that constitutes the swarm epitomizes a probable geophysical model comprised by subsurface resistivity values at several layers and layer thicknesses. The forward formulation of the TDEM problem for calculating the vertical component of the induced magnetic field is first expressed in the Laplace domain. Transformation of the magnetic field from the Laplace domain into the time domain is performed by applying the Gaver-Stehfest numerical method. The implementation of PSO inversion to the TDEM problem is straightforward. It only requires adjustment of a few inversion parameters such as inertia, acceleration coefficients and numbers of iteration and particles. The PSO inversion scheme was tested on synthetic noise-free data and noisy synthetic data as well as to field data recorded in a volcanic-geothermal area. The results suggest that the PSO inversion scheme can effectively solve the TDEM 1D stratified earth problem.
Extreme Significant Wave Height Map of Indonesia Based on SEAFINE and ERA5 Database
Andojo Wurjanto;
Julfikhsan Ahmad Mukhti;
Hijir Della Wirasti
Journal of Engineering and Technological Sciences Vol. 53 No. 1 (2021)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
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DOI: 10.5614/j.eng.technol.sci.2021.53.1.10
Significant wave height, , is one of the most utilized ocean parameters. Extreme with 1-yearly and 100-yearly return periods are required for the design of most offshore structures. A previous study by Wurjanto, et al. (2020) attempted to utilize the SEAFINE database to develop extreme maps of Indonesian seas. However, SEAFINE does not cover the eastern Indonesian seas. This study analyzed the extreme values from ERA5 data for Indonesian seas and utilized the data to complete the extreme map previously developed by Wurjanto, et al. (2020). The ERA5 data on the eastern Indonesian seas as well as the central and western seas were extracted for validation purposes. The ERA5 extreme value was less than half the value compared to the SEAFINE-based results in most intersecting areas. For the development of the map, we took the SEAFINE-based map from Wurjanto et al., which covers the western and middle Indonesian seas, and filled the eastern part with extreme ERA5 data. It was found that a wave height multiplying factor of 2.0 was the most suitable for ERA5 in the developed map to make a seamless wave height transition from SEAFINE to ERA5 data.
Site Test Performance and Numerical Study of Vertical Axis Hydrokinetic Turbine Straight Blade Cascaded (VAHT–SBC)
Ridho Hantoro;
Sarwono Sarwono;
Fernando Parsaulian Panjaitan;
Erna Septyaningrum;
Nuril Hidayati
Journal of Engineering and Technological Sciences Vol. 53 No. 1 (2021)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
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DOI: 10.5614/j.eng.technol.sci.2021.53.1.2
The Vertical Axis Hydrokinetic Turbine â Straight Blade Cascaded (VAHT-SBC) is a type of energy generation technology developed to meet the increasing demand for renewable energy. Previous studies have been carried out to enhance the efficiency of the turbine through several aspects. To deploy a turbine on site, a study on its power generation and conversion is needed. In this research, the VAHTâSBC was integrated with a permanent magnet synchronous generator (PMSG) by a pulley and belt transmission system. This study was conducted by experimental and numerical analysis. The CFD simulation result showed that the highest torque of the turbine was found at 0° and 360°, with an average value of 23.923 Nm and with current velocity at 0.92 m/s. The experimental data showed that the voltage and frequency were proportional to the generator rotational speed and inversely correlated with the load given to the integration system. In the inverter, the voltage and frequency values were stable at 230 V and 56 Hz respectively. The VAHT-SBC prototype was able to produce a maximum power of 50 W on site, with a current velocity of 0.82 and 0.92 m/s.
Experimental Study and Numerical Model of Spruce and Teak Wood Strength Properties Under Compressive High Strain Rate Loading
Ediansjah Zulkifli;
Patria Kusumaningrum;
Diah Puspita Rahmi
Journal of Engineering and Technological Sciences Vol. 53 No. 1 (2021)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
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DOI: 10.5614/j.eng.technol.sci.2021.53.1.3
Spruce and teak wood as anisotropic materials have complex behavior, particularly in the relationship between strain-rate and strength. High strain-rate compression tests between 590 s-1 and 3300 s-1 were carried out using two types of split Hopkinson pressure bar (SPHB) in order to measure the behavior of the wood along three principal axes with respect to fiber direction and growth rings. Numerical simulation using finite element software of the wood materials under high strain rates was performed and showed results with only a difference of 10% to the experimental results. The strain rate affects the strength of materials. In this case, it follows the power function, which means the higher the strain rate, the stronger the material.
Gene Family Abundance Visualization based on Feature Selection Combined Deep Learning to Improve Disease Diagnosis
Hai Thanh Nguyen;
Tai Tan Phan;
Tinh Cong Dao;
Phuc Vinh Dang Ta;
Cham Ngoc Thi Nguyen;
Ngoc Huynh Pham;
Hiep Xuan Huynh
Journal of Engineering and Technological Sciences Vol. 53 No. 1 (2021)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
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DOI: 10.5614/j.eng.technol.sci.2021.53.1.9
Advancements in machine learning in general and in deep learning in particular have achieved great success in numerous fields. For personalized medicine approaches, frameworks derived from learning algorithms play an important role in supporting scientists to investigate and explore novel data sources such as metagenomic data to develop and examine methodologies to improve human healthcare. Some challenges when processing this data type include its very high dimensionality and the complexity of diseases. Metagenomic data that include gene families often have millions of features. This leads to a further increase of complexity in processing and requires a huge amount of time for computation. In this study, we propose a method combining feature selection using perceptron weight-based filters and synthetic image generation to leverage deep-learning advancements in order to predict various diseases based on gene family abundance data. An experiment was conducted using gene family datasets of five diseases, i.e. liver cirrhosis, obesity, inflammatory bowel diseases, type 2 diabetes, and colorectal cancer. The proposed method provides not only visualization for gene family abundance data but also achieved a promising performance level.
Bond Strength Behavior for Deformed Steel Rebar Embedded in Recycled Aggregate Concrete
Aseel AbdulAzeez AbdulRidha;
Raad Abdulkhudhur;
Hussein Al-Quraishi
Journal of Engineering and Technological Sciences Vol. 53 No. 1 (2021)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
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DOI: 10.5614/j.eng.technol.sci.2021.53.1.11
This study investigated the bond strength behavior of a deformed steel bar embedded in RAC through an experimental program and numerical analysis. In the experimental work, eighteen push-out specimens were tested. The compressive strength of RAC, the recycled aggregate replacement ratio, the embedded length of the reinforcing bar, the size of the rebar, the concrete cover, and the yield stress of the reinforcing steel bar were the main parameters investigated. The effect of these parameters on bond strength, bond-slip behavior, and modes of failure are discussed. Analysis of the test results indicate that the bond strength in concrete is reduced by 13% when using a specimen constructed from recycled aggregate compared with conventional concrete. The failure modes in a reinforcing bar embedded in RAC representing splitting failure and push-out failure, were similar to those in conventional concrete. The finite element analysis presented in this study was used to analyze forty-four push-out specimens. Through numerical analysis, the bond strength of RAC was related to the 0.57 power function of compressive strength. A design equation for bond strength of reinforcing bars embedded in RAC is proposed. The proposed equation was calibrated through the numerical and experimental results.
Pollution Load Allocation on Water Pollution Control in the Citarum River
Mitta Ratna Djuwita;
Djoko M. Hartono;
Setyo S. Mursidik;
Tri Edhi Budhi Soesilo
Journal of Engineering and Technological Sciences Vol. 53 No. 1 (2021)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
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DOI: 10.5614/j.eng.technol.sci.2021.53.1.12
The Citarum River is a strategic river in Indonesia, but has poor water quality. The existing pollution control program has no impact on the river's water quality, because it uses a regulatory approach and prioritizes industrial sources. To improve the quality of the river, every pollutant source needs to reduce the pollution load discharged into the river based on the ability of the river to receive pollution. The purpose of this study was to measure pollution load allocation based on the total maximum daily load (TMDL) of the river. The results show that non-point sources contribute the highest pollution load (85%) compared with point sources (15%). The results of the measurement of pollution load allocation showed that the highest contribution of pollution load was from domestic waste (83.5%), followed by industrial waste (6.6%). The target of pollution load reduction for domestic sources is 81.8%, and for industries is 79.5%. The improvement of river water quality should be started at tributaries and domestic sources. This study can be used by local governments to develop water pollution control programs, for instance as a basis for determining the wastewater discharge permit of pollutant sources and permit trading.
Effectiveness of Oil Palm Frond Activated Carbon for Removing COD, Color and Fe from Landfill Leachate
Mohd Suffian Yusoff;
Nor Hana Adam;
Kameleswary Watalinggam;
Hamidi Abdul Aziz;
Motasem Y.D. Alazaiza
Journal of Engineering and Technological Sciences Vol. 53 No. 1 (2021)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
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DOI: 10.5614/j.eng.technol.sci.2021.53.1.4
This study examined the applicability of oil palm frond-activated carbon (OPF-AC) as adsorbent in the treatment of landfill leachate. OPF-AC was prepared by mixing granular OPF with an aqueous solution composed of distilled water and zinc chloride (ZnCl2) at different ratios. Batch experiment studies were carried out to investigate the optimum OPF-AC dosage as well as the optimum shaking time. The optimum condition was achieved at 1.2 g of OPF-AC dosage and 50 minutes of shaking time. The highest removals of COD, color and Fe (77%, 75% and 69%, respectively) were obtained at the optimum condition. Meanwhile, the adsorption capacities were 146.93 mg/g (COD), 56.43 mg/g (color) and 0.11 mg/g (Fe). The increase in adsorbent dosage also resulted in a larger free surface area and exchangeable binding sites. However, the unsaturation of adsorption sites during the adsorption process resulted in a slight drop in removal efficiency of COD, color, and Fe. Furthermore, due to the aggregation and overcrowding of adsorbent particles, the use of a greater amount of adsorbent dosage imposed particle interactions.