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Paikun
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International Journal Engineering and Applied Technology (IJEAT)
Published by Universitas Nusa Putra
ISSN : -     EISSN : 26209632     DOI : 10.52005
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering
IJEAT publishes original papers only and the submission of a manuscript will be taken to imply that the contributions are original and that no similar manuscript has been or is being submitted to other journals. Manuscripts are solicited from all areas of specialization in engineering. IJEAT is an international and multidisciplinary journal. The major goal of the journal is to communicate advances in engineering and applied technology, with a particular preference to Asia, to researchers, practicing engineers and decision makers of developing countries. IJEAT publishes peer-reviewed research papers (both theoretical and applied) and state-of-the-art reviews related to Engineering and technology. The scope of the journal includes mechanical engineering, civil engineering, industrial engineering, electrical engineering, power engineering, environmental engineering, postharvest technology, food technology, biotechnology and emerging technologies. Subjects of basic engineering and science such as instrumentation, machinery design, human factor and ergonomics, global warming, renewable energy, climate change, terramechanics and new materials are also included in the scope of IJEAT.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 5 No. 2 (2022): November 2022" : 5 Documents clear
EEG-Based Classification of Schizophrenia and Bipolar Disorder with the Fuzzy Method Aryo Sidik; Harurikson Lumbantobing; Anang Suryana; Muchtar Ali Setyo Yudono; Edwinanto; Yudha Putra; Yufriana Imamulhak; Bayu Indrawan
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 5 No. 2 (2022): November 2022
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v5i2.68

Abstract

This study demonstrates various fuzzy-based strategies for classifying and diagnosing people with mental illnesses such as schizophrenia and bipolar disorder. The signals collected from 32 unipolar electrodes during non-invasive electroencephalogram analysis were examined to determine their key characteristics. This research uses a sophisticated fuzzy-based radial basis function neural network. Entropy analysis and analysis of variance of other statistical parameters are also used. Three hundred and twelve schizophrenic patients and 105 individuals with bipolar disorder were examined. In contrast to healthy controls, the data indicated that the patients were correctly classified. With close to 96% accuracy, the suggested method outperforms existing machine learning methods, such as support vector machines and k-nearest neighbors. Conclusion: This categorization method will enable the development of highly accurate algorithms to identify and classify various mental illnesses.
MODELLING OF DATA WAREHOUSE WITH MAKING THE TREND TO MAKE DECISION IN COMPANY XYZ Dwi Sartika simatupang; Anggun Fergina; Bahadir Ozsut
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 5 No. 2 (2022): November 2022
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v5i2.72

Abstract

The goals of the thesis were to modellig a data warehouse which was loaded from the operational database PT. XYZ, to analyze data warehouse with Tableau Software to know the trends of activity Trouble ticket, and to create reports and dashboards to facilitate PT. XYZ in viewing the trends. Data were compiled by observation to PT. XYZ from reporting team. Data were analyzed using software tableau. The results obtained were the trend of activity trouble ticket more than two hundred thousand data in sixteen weeks or four month in 2017. It can be concluded that developed data warehouse can be used to analyze in gaining information about the trends of activity trouble ticket and help to make a decision.
Broken Road Detection Methods Comparison: A Literature Survey Indra Yustiana; Somantri; Dudih Gustian; Anggy Pradifta Junfithrana; Satish Kumar Damodar
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 5 No. 2 (2022): November 2022
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v5i2.75

Abstract

Roads are infrastructure built to facilitate regional development. Good road conditions will certainly provide a sense of comfort for every vehicle that will pass through it. For that, care and attention to road conditions needs to be done. The occurrence of damage to the road will hinder the development process. Currently, detection of damaged roads is still done manually using human resource. It makes the detection process take quite a lot of time to determine how bad the damage is. So there needs a way to help improve time efficiency and accuracy in detecting damaged roads. One of them is by utilizing machine learning technology. In this paper, we will discuss what methodology can be use and their comparisons to be able to use appropriate and effective methodologies to detect cases of damaged roads
Research topic modeling in informatics engineering study program at Nusa Putra University using LDA method Kamdan; Ivana Lucia Kharisma; Gina Purnama Insany; Paikun
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 5 No. 2 (2022): November 2022
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v5i2.76

Abstract

Writing research reports at the undergraduate level is one of the obligations that must be fulfilled by students as a fulfillment of graduation requirements at a university. One of the independent learning programs implemented at Nusa Putra University is through the research method, where students are required to conduct research as a graduation requirement in the Study Completion Program course. The growing development of information and communication technology provides opportunities for students to determine research themes. However, sometimes students take research themes that are not in accordance with the concentration in the study program. This research was conducted with the aim of identifying how the LDA topic modeling method can analyze research topic trends by modeling topics on research titles that have been taken by students at the Informatics Engineering Study Program, University of Nusa Putra. Latent Dirichlet Allocation (LDA) is one of the most popular topic modeling methods today. This research uses a dataset in the form of 159 titles of study completion program research reports and tittles of final assignment reports for students of the Informatics Engineering study program, University of Nusa Putra. This research is expected to be a reference in conducting research by students based on the topics that have been modeled
The Effect Of Potassium Permanganate On Betung Bamboo (Dendrocalamus Asper) Epoxy Fiber Compositesusing Hand Lay Up Method Andriyansah; Zaid Sulaiman; Lucas Cramer
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 5 No. 2 (2022): November 2022
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v5i2.77

Abstract

The application of natural fiber composites in the modern world is often overlooked due to the rise of new synthetic fibers. The BetungBamboo is one type of natural fiber that has been used for many generations in the Indonesian archipelago. The fiber can be used to produce composites, however the choice of matrix and fiber treatment has an effect on determining the strength properties of the composite. In this study using epoxy resin as a matrix and Betung Bamboo fiber as a filler. Permanganate treatment of Betung bamboo fiber was conducted using KMnO4 solution. With variations in KMnO4 concentrations of 3%, 5%, and 7% for 15 minutes of immersion. The fabrication was carried out by hand lay-up method with silicone rubber molds. Tensile tests are then carried out to determine the tensile strength of the composite. Digital microscopy was observed to see the fracture pattern of the composite. The initial hypothesis of this study was the treatment of KMnO4 solution which aims to improve the interfacial properties of strength and resistance of Betung bamboo fiber and matrix, so that the mechanical properties of the composite are stronger. The highest tensile strength was at 5% KMnO4 content of 33.55 MPa and the lowest was at the specimen without KMnO4 content of 28.06 MPa. The highest strain was on specimens without KMnO4 content with 2.645% and the lowest on 7% KMnO4 content with 1.513%. The highest elastic modulus value was at 7% KMnO4 content of 20.84 MPa and the lowest was for specimens without KMnO4 content of 10.6 MPa. In the tensile test specimen without KMnO4 content, there are pullout fracture patterns, and in the tensile test specimen with 5% KMnO4 content there are indications of overload fracture pattern.

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