International Journal on Advanced Science, Engineering and Information Technology
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3D Print Continuation Process Parameter Setting to Optimize the Tensile Strength
Get PDFThe research on the tensile strength of the product that has been continued is very limited. Therefore, this study aims to find out the relationship between the results of the continuation process with its tensile strength, even further to find out how to set the parameters of the continuation process so that the optimum connection’s tensile strength is obtained. The printing process is carried out using polylactic acid (PLA) 1.75 mm material and C01 (Centra Teknologi Indonesia Corp.) 3D printer machine type Fused Deposition Modelling (FDM). Meanwhile, the G-code ASTM D638 Type V was modified to stop and resume the printing process for the continuation process. The results of the continuation process are then tensile-tested with HT-2402 (HungTa-brand testing machine). The tensile test data is processed using variance analysis (ANOVA) to determine the relationship between tensile strength and setting the connection process parameters. In comparison, the response surface method (RSM) is used to optimize the tensile strength. Parameters that influence the tensile strength of the continuation process are temperature, printing speed, number of layers, and overlap. In contrast, the interaction between parameters has not been proven to affect the tensile strength of the connection. The parameter setting to get the optimal connection's tensile value is an overlap of 0.4 mm, printing temperature of 195oC, the printing speed of 20 mm/s, and 6 number of layers
Cross-Language Plagiarism Detection: Methods, Tools, and Challenges: A Systematic Review
Get PDFPlagiarism is one of the most serious academic offenses. However, people have adopted different approaches to avoid plagiarism, such as transcribing excerpts from one language. Thus, it is challenging to realize this plagiarism form unless someone fully understands another language. Researchers have developed approaches for detecting plagiarism in a variety of different languages. However, most methods created in the past have proved effective for detecting plagiarism in papers published in a single language, most notably English. Therefore, this paper aims to provide a systematic literature review of cross-language plagiarism detection methods (CLPD) in a natural language context. The approach used to perform this study consisted of an extensive search for relevant literature through an SLR and Snowballing. Therefore, we present an overview of (i) cross-language plagiarism detection techniques; (ii)the artifacts and the aspects that were considered in the evaluation phase; and(iii) the lack of guidelines and tools for its implementation. Its contribution lies in its ability to highlight emerging cross-language plagiarism detection techniques trends. Further, we identify any of these techniques in other domains, for instance, software engineering
Designing Interface Based on Digipreneur to Increase Entrepreneurial Interest in Engineering Students
Get PDFEntrepreneurship is one of the activities produced from higher education as an alternative solution because it contains competence, education, and training elements. Entrepreneurship has values needed during a digital society to survive and be creative in seeing problems into opportunities. Vocational engineering graduate dominates the high level of unemployment in Indonesia. It proves that there is still a lack of student interest in entrepreneurship. This paper aims to present a digipreneur-based (digital entrepreneur) interface design process to increase entrepreneurial interest in engineering students in Technology and Vocational Education. This research uses a research and development approach with three stages, namely: Phase I require analysis and design of the model, Phase II develops with validity and practicality, and Phase III will implement the model while in this study will only focus on stage I, namely Design Interface to Increase Entrepreneurial Interest in Engineering Students. The design of this interface uses elements of a digital entrepreneur known as an LMS Based Digipreneur. An effective and efficient alternative is needed by digipreneurs, namely the Digipreneur-based Learning Management System (LMS). It combines the concept of online learning and elements of technological entrepreneurship. It enables students to be very adaptive and develop their business because LMS facility supports and facilitates online shops that students can make independently. These integrations and implementation can be applied directly to entrepreneurship learning in higher education
Contributing to Low Emission Development through Regional Energy Planning in West Papua
Get PDFA model of regional energy planning has been developed based for West Papua province. Regional energy planning had two major scenario which are baseline and mitigation scenario. Mitigation scenario consisted of energy efficiency and fuel switch scenarios. A baseline scenario has been used to reflect energy demand without any intervention of new energy policy in the province. Energy efficiency scenario describe the impact of more efficiency vehicle and appliance in energy consumption. In transportation sector, energy efficiency scenario included a mode change scenario. The use of renewable energy has been included in fuel switch scenario. In supply side planning, renewable energy sources have been accommodated to meet a portion of electricity demand. The model of regional energy planning has been implemented by Long-range Energy Alternative Planning software. The result indicated that the same goal of regional development program can be achieved with less emission. By the implementation of mitigation scenario, overall energy demand in the end of projection period can be reduced by 16.63 PJ compare to the baseline. As an impact, global warming potential is 15.89% less by mitigation scenario compare to baseline scenario. It can be concluded that the emission intensity by the implementation of mitigation scenario is 8.93 Thousand Ton CO2 Equivalent/Billion USD
Re-implementation of Convolutional Neural Network for Arrhythmia Detection
Get PDFArrhythmia is an irregular heartbeat that may cause serious problems such as cardiac arrest and heart failure if left untreated. A dozen of studies have been conducted to make an automated arrhythmia detector. The classification approach uses a simple rule-based model, traditional machine learning, to a modern deep-learning technique. However, comparing an arrhythmia classifier performance is not an easy task. There are several different datasets, classification standards, data splitting schemes, and metrics. To assess the real performance of the developed models, it is important to train and evaluate the model in a standardized method such as the result score can become standard too. In this study, a set of CNN models from Acharya were re-implemented by re-training and re-evaluating it in a more standardized method. The model uses a raw ECG waveform with 260 samples around the QRS peaks and classifies it into five arrhythmia classes. The experiment was conducted using three configurations, using both intra-patient and inter-patient schemes. The experimental results show good performance for the intra-patient scheme but not for the inter-patient. There is a reduction of sensitivity and precision in the intra-patient scheme using a standardized method in this study compared to the original paper. This result indicates biased results caused by the oversampled test data in the original paper. In addition to the intra-patient result, the inter-patient result is also provided for a standardized comparison to other works in the future
Implementation of Maximum Likelihood Estimation (MLE) in the Assessment of Pro-Environmental Tools Measurement Models for Engineering Students
Get PDFThe criterion validity test is used to compare the research construct with other tools that have been declared valid and reliable by correlating. In this study, data was obtained by distributing questionnaires and drawing conclusions by concluding the answers from the research subjects. The samples in this study were students of the Faculty of Engineering, Universitas Negeri Makassar, amounting to 200 research subjects. The researcher will collect the data by distributing questionnaires directly to respondents and through a google form with three research constructs. This is done to meet the requirements of the number of respondents who recommend conducting research whose data analysis uses the Maximum Likelihood Estimation (MLE). The IBM AMOS program was used to analyze Confirmatory Factor Analysis (CFA). The Goodness of Fit test (CMIN/DF, GFI, RMSEA, CFI, PNFI) shows that the proposed model is fit and can be continued for further analysis. Convergent validity (loading factor) constructs on the get a value of > 0.7 with a probability value of (p 0.7 with a probability value (p 0.5, which means that the indicators in the developed model are proven to measure variable constructs. From the results of the research conducted, the reliability and validation values of the tools are consistent and reliable; from these results, the tools can be used repeatedly in research. A test is said to have high reliability if it provides data with consistent (fixed) results even though it is given at different times to the same subjects
Preliminary Result of Drone UAV Derived Multispectral Bathymetry in Coral Reef Ecosystem: A Case Study of Pemuteran Beach
Get PDFUAV-derived multispectral bathymetry is an alternative to creating a shallow water bathymetry map without a massive field survey. Multispectral UAV technology can be used for detailed scale identification scopes because it has better spatial resolution and relatively affordable cost. The UAV used in this study record the coastal area using four multispectral sensors, blue, green, red, and near-infrared bands. The UAV images are processed into point cloud information under the use of the Structure from Motion (SfM)-based algorithm with a spatial resolution of 0.075 m. Then the point cloud information is used to predict the water depth using the random forest algorithm. This research was conducted at Pemuteran Beach, Bali, Indonesia. We compared the performance of only spectral, cloud point, and the combination of cloud point – spectral information to predict the water depth. As a result, the cloud point – spectral based shows significant accuracy improvement compared with the spectral only approach that reaches ~1.5, ~2.5 m, and ~0.3m for R2, RMSE, and MAPE, respectively. So, the use of the SfM UAV technique can improve the common spectral-based SDB method
Functionalization of Multi-walled Carbon Nanotubes–Silver Nanoparticle (MWCNTs-AgNPs) as a Drug Delivery System for Ibuprofen
Get PDFNanoparticle utilization for the prevention, diagnostics, and treatment of diseases is widely known as one of the medicine branches, nanomedicine. The ability to penetrate the higher space between cells and cell walls makes nanoparticles have the potential to be used as a drug delivery system (DDS). Furthermore, various techniques can be combined with nanoparticles due to their flexibility. AgNPs are one of the interesting nanoparticles to be developed into DDS. It is because they can improve antibacterial, antiviral, antifungal, antioxidant, and physicochemical properties. In addition, AgNPs have biocompatibility that can improve drug delivery capability. On the other hand, carbon-based nanomaterials such as MWCNTs have unique properties that can be potentially used as composite materials for application as DDS. Therefore, to increase the ability of DDS, the in-situ synthesis of MWCNT-AgNPs nanocomposites was carried out. UV-Vis observed the absorption peak of the nanocomposite. The characterization of the crystal structure was performed using XRD. FESEM-EDX conducted the determination of the morphology of nanocomposite and the chemical composition. The distribution of AgNPs on the MWCNTs surface was performed by TEM. Furthermore, Raman spectroscopy was used to investigate the vibration of the MWCNT-AgNPs. Drug Loading was performed using UV-Vis measurements. The results showed that MWCNT-AgNPs as a DDS are successfully created in the drug loading stage. Drug loading stage properties are increased with the increasing loading time of Ibuprofen on MWCNT-AgNPs. The optimum percentage of drug loading for Ibuprofen by MWCNTs-AgNPs was 43.7% in a contact time of 27 hours
Outdoor Localization of 4-Wheels for Mobile Robot Using CNN with 3D Data
Get PDFOne of the possible problems for a mobile robot is the localization. This is due to GPS systems' difficulty in detecting the location of a moving robot and the effects of weathering on sensors, such as the light sensitivity of RGBs sensors. In addition, mapping techniques in severe environments requires time and effort. This research seeks to enhance the localization of mobile robots by merging 3D LiDAR data with RGB-D images and using deep learning techniques. The suggested method entails using a simulator to design a four-wheel mobile robot controlled by a LiDAR sensor and testing them in an outdoor environment. The proposed localization system works in three steps. The first step is the training step, in which the 3D point cloud LiDAR sensor scans the entire city and then uses the PCA method to compress the dimensions of the 3D LiDAR data to a 2.5D image. The testing data stage is the second step. First, the RGB and depth images have merged using the IHS technique to create a 2.5D fusion image. Next, Convolution Neural Networks are used to train and test these datasets to extract features from the images. Finally, the K-Nearest Neighbor method was used in the third step. The classification step allows high accuracy while also reducing training time. The experimental findings show that the suggested technique is better in yielding results up to an accuracy of 98.15 % and a Mean Square Error of 0.25, and the Mean Error Distance is 1.36 meters
A New Robotic Learning Activity Design to Increase the Figural Creativity: Originality, Elaboration, Flexibility, and Fluency
Get PDFPreparing a generation that possesses the skill of Figural Creativity (FC) skills is important in education because figural creativity skills are needed in the industrial revolution 4.0 (IR 4.0) era. Figural creativity skill is the ability to create something new, a new manner, and produce something different from its initial state in providing solutions to the problems faced. One of the IR 4.0 technologies that can improve creativity is robotic technology, but the implementation of robotic technology in education still requires an appropriate learning activity. This study aims to design the new robotic learning activities and analyze their implementation to increase Figural creativity variables. Figural creativity variables consist of four variables: elaboration, flexibility, fluency, and originality. A total of 23 students were recruited in a user study experiment, ages 9-12 years old. Figural creativity skill of students measured by Figural Creativity Test (TKF). This study used mix method approach. The results showed that the new robotic learning activity design could fulfill the valid criteria; expert suggestions are subject to fixing this learning activity. The new robotic learning activity design was implemented in the robotic course. The paired sample t-test showed that robotic learning activity design has a significant difference between pre-test score and post-test score, and it can improve students’ elaboration, flexibility, fluency, and originality. It has a growing impact on all figural creativity variables (fluency = 60.9%, flexibility=56.6%, elaboration = 26.6%, originality =39.3%)