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Journal of Engineering and Technological Sciences
Published by Institut Teknologi Bandung
ISSN : 23385502     EISSN : 23375779     DOI : 10.5614/j.eng.technol.sci
Core Subject : Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering
ournal of Engineering and Technological Sciences welcomes full research articles in: General Engineering Earth-Surface Processes Materials Science Environmental Science Mechanical Engineering Chemical Engineering Civil and Structural Engineering Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 132 Documents
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Box Station Parametric Study with Time History Dynamic Analysis Sengara, I Wayan; Basarah, Yuamar I.; Sulaiman, Ahmad; Sibagariang, Sarah M.T.
Journal of Engineering and Technological Sciences Vol. 56 No. 3 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.3.6

Abstract

The performance of an underground station structure subjected to an earthquake can be evaluated by looking at deformation as well as forces and bending moments that occur in the structure. Most design practices adopt simplified approaches, such as the free field deformation method and pseudo-static approaches, which have a high level of uncertainty. Therefore, it is necessary to perform dynamic time-history analysis to verify the results of the simplified approach. Dynamic modeling is considered a more appropriate approach because it better represents seismic shaking in evaluating the seismic response of underground structures. This study performed time-history dynamic analysis by conducting a parametric study. The study was conducted to determine the effect of parameters such as site class, peak base acceleration (PBA) ground-motion intensity, and the type of seismic mechanism on the deformation response. Based on the parametric study, it was found that the stiffer the site class, the smaller the relative deformation of the resulting underground structure. The greater the PBA intensity value, the greater the relative deformation. Relative deformation in the wall structure subjected to a subduction earthquake is more significant compared to that of a shallow crustal earthquake.
Physicochemical Properties and Sensory Acceptability of Fermented Roasted Robusta Coffee (Coffea canephora L.) Beans Chan, Hao Yuan; Rukayadi, Yaya; Azman, Ezzat Mohamad; Ashari, Rozzamri; Lim, Sarina Abdul Halim
Journal of Engineering and Technological Sciences Vol. 56 No. 3 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.3.7

Abstract

Spontaneous fermentation is becoming ever more elusive because of vast natural microbiota profiles that affect geographical region, climate, and applications of agrichemicals. This study aimed to identify the physicochemical and sensory properties of local planted (Serdang, Malaysia) Robusta (Coffea canephora L.) coffee beans after undergoing different spontaneous wet fermentation (SWF) periods i.e., 0 days as control, 3 days, and 5 days. The hardness decreased significantly (p < 0.05) by 80 to 90% in roasted fermented roasted Robusta coffee (FRRC) beans. The carbohydrate content was significantly higher (p < 0.05) at 9.4%, but protein and crude fibers were significantly (p < 0.05) lower at 31% and 9.7%, respectively. While the FRRC brew displayed deeper lightness (L*31.983), the FRRC powder displayed lighter lightness (L*49.553). The total soluble solid (TSS) was around 21% higher in FRRC and the water solubility index (WSI) had equivalent outcomes at about 8% higher in FRRC. Rheological analysis showed that the coffee fluid exhibited a shear-thickening property with fluid elastic components greater than viscosity. FRRC beans received higher ratings (score > 6) than non-FRRC beans (score between 5 and 6) in the consumer sensory evaluations.
Kriging Surrogate-based Optimization for Shape Design of Thin Electric Propeller Pholdee, Nantiwat; Bureerat, Sujin; Nuantong, Weerapon; Pongsatitpat, Boonrit
Journal of Engineering and Technological Sciences Vol. 56 No. 3 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.3.8

Abstract

This paper outlines an optimized propeller design for an unmanned aerial vehicle (UAV) employing a Kriging surrogate model-based optimization approach. The primary objective was to maximize propeller efficiency while adhering to the thrust-to-torque ratio constraint at a rotational speed of 6,500 rpm. The design variables encompassed the twist angle and the ratio of blade thickness to chord length across the twenty-section airfoil of the propeller. A comprehensive analysis was conducted using computational fluid dynamics to assess the aerodynamics of the propeller. The Kriging surrogate model serves as a valuable tool for approximating objective and constraint functions. The optimal Latin hypercube sampling technique was employed for design of experiment, generating a set of sampling points to construct a Kriging surrogate model. To tackle the optimization problem, seven metaheuristic optimizers were employed, including a genetic algorithm, particle swarm optimization, population-based incremental learning, differential evolution, teaching-learning based optimization, ant colony optimization, and an evolution strategy with covariance matrix adaptation. The obtained results revealed that Kriging surrogate model-based differential evolution optimization stood out as the most efficient method for addressing the propeller optimization problem. The propeller efficiency experienced improvement of approximately 0.6% compared to the maximum result obtained from the sampling points.
Exploration of the Influencing Factors of Intelligent Robots on College Network Education in the All-Media Era Chu, Na; Ma, Wanzhi
Journal of Engineering and Technological Sciences Vol. 56 No. 3 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.3.9

Abstract

Online public opinion incidents in universities occur from time to time, with the source difficult to find, rapid dissemination, and escalating fragmentation. There are many problems and difficulties in the guidance of online public opinion in universities, and a new way out needs to be explored. This article explores the influencing factors of intelligent robots on online education in universities in the all-media era. This article believes that the ecology of university online education is an inherent component of university online culture and is the result of the interaction and mutual restraint between various elements and external environmental factors. The self-regulation of each element gradually tends towards a harmonious and stable state. It is closely related to cultural ecology, network cultural ecology, and university network culture, and also has its own unique characteristics. Establish a collaborative governance model between university public opinion work alliances and society, improve the application standards of artificial intelligence and the management mechanism of IGM and MGC technologies. Compared with traditional technologies, intelligent robots in the all-media era can guide the network public opinion of colleges and universities in the intelligent Internet era.
Longitudinal Train Dynamics Model for CC203/CC206 Locomotive Simulator Hindersah, Hilwadi; Rohman, Arief Syaichu; Bayuwindra, Anggera; Rusmin, Pranoto H.; Kinasih, Fabiola M.T.R.; Machbub, Carmadi
Journal of Engineering and Technological Sciences Vol. 56 No. 3 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.3.10

Abstract

This paper presents train modeling used in a simulator platform for driver training. It was developed for the CC203/CC204 locomotive. The driver will gain experience as in a real locomotive from the perceived platform movements if the movements match real conditions as accurately as possible, including the distance travelled. To this aim, a longitudinal model of the train was developed based on measurement data obtained from the Argo Parahyangan train traveling from Bandung to Jakarta. A second-order linear time invariant model was obtained by a black box identification approach, in which the input and the output of the model are the resultant force (a traction and a slope-friction force) and the train’s position, respectively. While the speed is directly obtained from measurement data, the traction force of the locomotive is predicted using the traction characteristic of the locomotive, train’s measured speed, and latitude time history during a train trip. The model is then validated by running a simulation for one complete trip of the train. In the simulation, the same input as in the model identification is applied and the mileage obtained from simulation result is compared to data of the real train trip with a fitness level of 94.09%.
Urbanization and Consequent Carbon Footprints from Transportation and Construction Sector in Malaysia after Industrial Revolution 4.0 Musarat, Muhammad Ali; Alaloul, Wesam Salah; Bukhari, Hamna; Ayub, Saba; Thiong, Thiong Samuel Ateny
Journal of Engineering and Technological Sciences Vol. 56 No. 4 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.4.1

Abstract

Malaysia has experienced rapid urbanization since Industrial Revolution (IR) 4.0, which has resulted in significant changes in energy consumption and CO2 emissions. Its urban areas are characterized by high population densities, which has led to increased demand for transportation and construction activities, thereby enhancing the carbon footprint of Malaysia. Yet, the country has also set ambitious targets for reducing its carbon footprint and has committed itself to the Paris Agreement on climate change. The government has set a target to reduce the intensity of greenhouse gas emissions by 45%, compared to the level in 2005, by 2030. Therefore, this study aimed to identify the domains from the transportation and construction sectors that are most responsible for Malaysia’s CO2 emissions along with exploring the government’s initiatives to mitigate these emissions. In order to recommend sustainable techniques that are currently most suitable for the Malaysian context, a survey was conducted. The results showed that sustainable building materials and green building certifications should be the two top priorities of the government in order to control emissions from selected domains. The research also provides practical suggestions to help the country achieve its sustainability targets.
Sustainable Stabilization of Clay Soil with Rice Husk Ash Abdulrahman, Shaimaa M.; Al Kindi, Ghayda Yaseen; Ihsan, Elaf Abd Al–AzaI
Journal of Engineering and Technological Sciences Vol. 56 No. 4 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.4.2

Abstract

Groundwater-exposed liquid clay soil (CL) makes foundations unstable. This study used recycled rice husk ash and treated clay soil exposed to groundwater with low-cost, environmentally friendly materials. This paper presents a recent prediction of three equations that link the plastic index to soil strength, cohesion, and the bearing capacity of a foundation. This prediction takes into account the soil’ characteristics before and after treatment, as well as the cumulative load until failure. It creates four models before and after treatment, as well as a different time period after treatment, to study the situation. This is achieved by mixing the best-added ratios in depth equal to the foundation width. The limitations of Atterberg, and the unconfined compressive strength were tested using three additives: cement alone, rice husk ash alone, and rice husk ash plus 2% cement. The percentages were 4%, 6%, 8%, and 10% of the soil weight. It was noted that soil activity dropped from 0.98 to 0.31, 0.32, and 0.42 for cement 8%, rice husk ash 8% plus 2% cement, and 8% RHA alone. The foundation bearing capacity increased from 49 at 1 day to 115, 275, and 460 Kpa for 7, 14, and 28 days, respectively.
Trip Pattern Impact of Electric Vehicles in Optimized Power Production using Orca Algorithm Afandi, Arif Nur; Zulkifli, Shamsul Aizam; Korba, Petr; Sevilla, Felix Rafael Segundo; Handayani, Anik Nur; Aripriharta, Aripriharta; Wibawa, Aji Presetya; Afandi, Farrel Candra Winata
Journal of Engineering and Technological Sciences Vol. 56 No. 4 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.4.3

Abstract

Power systems are run by combining different energy producers while the demand serves as the system’s energy user and covers all of the non-flexible and flexible loads, including electric vehicles (EVs). This study investigated the trip pattern impact of EVs, utilizing the Orca Algorithm (OA), in optimizing power production, applied to the IEEE-62 bus system as a model. Considering one-way and two-way trips over several categories of typical roads, the mobility of 14,504 EVs, divided into four driving patterns (Mobility 1-4), was estimated. Approximately 2,933 EVs traveled for working/business/study purposes, 3,862 EVs traveled for service/shopping purposes, approximately 5,376 EVs traveled for leisure purposes, while 2,334 EVs traveled for other reasons. The system had a total demand of 18,234.9 MVA, including 3,352.8 MW for electric vehicles and 14,151.5 MW for non-flexible loads. The EVs traveled a total of 119,018 km in Mobility 1, 141,799 km in Mobility 2, 184,614 km in Mobility 3, and 82,637 km in Mobility 4. The power produced was also used to charge the EVs during trips.
A Proposed Approach to Utilizing Esp32 Microcontroller for Data Acquisition Tran, Vy-Khang; Thai, Bao-Toan; Pham, Hai; Nguyen, Van-Khan; Nguyen, Van-Khanh
Journal of Engineering and Technological Sciences Vol. 56 No. 4 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.4.4

Abstract

Accurate data acquisition is crucial in embedded systems. This study aimed to evaluate the data acquisition ability of the ESP32 Analog to Digital Converter (ADC) module when combined with the I2S module to collect high-frequency data. Sine waves at various frequencies and white noise were recorded in this mode. The recorded data were analyzed by the fast Fourier transform (FFT) to assess the accuracy of the recorded data and evaluate the generated noise. Digital filters are proposed to improve the quality of the collected signals. A 2D spectrogram imaging algorithm is proposed to convert the data to time-frequency domain images. The results showed that the ADC module could effectively collect signals at frequencies up to 96 kHz; frequency errors were proportional to the sampling rate, and the maximum was 79.6 Hz, equivalent to 0.38%. The execution time of the lowpass and highpass filters was about 6.83 ms and for the bandpass filter about 5.97 ms; the spectrogram imaging time was 40 ms; while the calculation time for an FFT transform was approximately 1.14 ms, which is appropriate for real-time running. These results are significant for data collection systems based on microcontrollers and are a premise for deploying TinML networks on embedded systems.
Chemical Machining of Aluminum Alloy 2024: The Critical Roles of Temperature and Solution Concentration in Enhancing Corrosion Rate and Surface Texture Muhammad, Ahmed K.; Mohammed, Tawfeeq W.; Resan, Kadhim K.
Journal of Engineering and Technological Sciences Vol. 56 No. 4 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.4.5

Abstract

Chemical etching is a crucial process in materials science that involves controlling material removal through chemical reactions. It offers precise surface manipulation for various applications. In this study, the focus was on investigating the influence of temperature and etching solution concentration on the corrosion rate and surface roughness of aluminum alloy 2024. A range of temperatures (from 35 to 65°C) was selected with increments of 5 °C. Three concentrations (9, 20 and 29 Be) of the etching solution (ferric chloride) were examined. The experimental results revealed that both the corrosion rate and surface roughness increased with higher temperatures and concentrations. The values of corrosion rate and surface roughness varied from 1.15 x 10-4 mm/min and 1.208 μm, respectively at 35 °C, to 1.291x10-3 mm/min and 7.431 μm, respectively at 65 °C. However, the effect of temperature was found to be more significant than that of concentration for the range under study. Understanding the relationship between temperature, concentration, corrosion rate, and surface roughness in chemical etching of Al-2024 enables the optimization of the process for tailored material properties. This can be helpful in industrial application fields that require precise surface manipulation, such as automotive, airplanes, aerospace, medical, households and consumer electronics

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