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Analyzing the use of SEO and Google Analytic on the Website of Vocational High School of Information Technology Annajiyah

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Journal of Physics: Conference Series 2021年第1期1737卷

作者： L D Supraba H Jati Electrical and Informatics Engineering Education Study Program Faculty of Engineering Yogyakarta State University

The number of Islamic boarding school teaching both Information Technology (IT) Education and Religious Education is still limited. Vocational High School of Information Technology Annajiyah located in Tambakberas, Jombang, East Java is a school having both subjects taught. The existence of Vocational High School of Information Technology Annajiyah has not been widely known by outside and inside society of Jombang Regency. Therefore, Therefore, analysis of the use of SEO is necessary to determine the potential of website visit and school promotion. Previously, Vocational High School of Information Technology Annajiyah promoted school by using brochures only. This method was considered able to introduce the school through traditional way. Analysis result of improving SEO can be seen in Google Analytic recorded a number of site visits amounted 403 in June, where 82.2% of active users are dominated by mobile phone users and fluctuation of the number of visits. This increase is affected by both the implementation of SEO and online PPDB process during the COVID pandemic.

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The Design of Mini CNC Assembly Simulator Based on Virtual Reality Toolkit (VRTK)

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Journal of Physics: Conference Series 2021年第1期2111卷

作者： C A J Malik S Hadi Master Education Program of Electrical Engineering Faculty of Engineering Universitas Negeri Yogyakarta Indonesia

Information and communication technology development today has provided the latest innovation in didactic world. One of such innovation is the usage of virtual reality (VR) as learning media. The application of virtual reality in learning environment started to be adopted because VR is considered more capable to explain learning material when compared with other learning material. Moreover, learning with VR has the capability for student to learn independently anytime and anywhere. One of VR utilization in learning environment is to use it in a Mini CNC machine assembly simulator. The learning media is meant to be used to improve student skill in assembling a Mini CNC machine independently. This research uses Research and Development method with waterfall model which has several stages which are communication, planning, modelling, construction, and deployment. However, this research only aims up to construction stage, because this research focuses on media functionality test. The media black box research has shown that the media is capable to function as expected.

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Analysis stage in the development of a virtual laboratory electric motor installation for vocational high schools

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Journal of Physics: Conference Series 2021年第1期1833卷

作者： M S Wati I W Djatmiko Master Education Program of Electrical Engineering Faculty of Engineering Universitas Negeri Yogyakarta Indonesia

The study aimed to find out the design of instructional media which is suitable for practical learning of electric motor installation. It used needs analysis and front-end analysis which was carried out at Vocational High Schools in Yogyakarta. The result showed that the developing two-or three-dimensional media in the form of virtual laboratories was strongly recommended. Virtual laboratories was able to visualize the components according to real conditions. The concepts and work principles of electric motor installations were showed in the form of a two-or three-dimensional simulation. Virtual laboratories was expected to help virtual learning and train students' independence and competence in practicing electric motor installation.

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Development Mobile Application Android Based for Sensor and Transducer

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Journal of Physics: Conference Series 2021年第1期2111卷

作者： Y I Hatmojo S M Azis Electrical Engineering Education Study Program Faculty of Engineering Universitas Negeri Yogyakarta Indonesia

The aims of this research are: (1) producing a mobile applications android based for sensor and transducer field of study on vocational education; (2) know the quality of the product mobile applications android based for sensor and transducer field study on vocational education. The method used is the Software Development Life Cycle with the Waterfall model. The stages in Waterfall model are: (1) requirements definition; (2) system and software design; (3) implementation and unit testing; (4) integration and system testing; (5) operation and maintenance. The black box test results show the performance of Sensor application software can all function properly. While the results of the compatibility test show the application can run on various android systems (at least Android 4.2).

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Development of Human Machine Interface (HMI) Training Kit as A Learning Media for Industrial Automation engineering Practical Courses

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Journal of Physics: Conference Series 2021年第1期1737卷

作者： T H T Maryadi H S Pramono Y I Hatmojo E Prianto Sunomo Electrical Engineering Education Study Program Faculty of Engineering Universitas Negeri Yogyakarta Indonesia

Learning media is one of the learning tools that is needed so that the learning process can run smoothly and students can have competencies in accordance with the expected competency goals. This paper discusses: (1) developing a Human Machine Interface (HMI) training kit as a learning medium in the Industrial Automation engineering Practical Course; (2) the performance of the HMI training kit; (3) the feasibility of the HMI training kit based on the assessment of media experts, material experts and student responses as training kit users. In developing this training kit using the ADDIE model which consists of Analysis, Design, Development, Implementation and Evaluation. Data collection was carried out by testing the performance of the media, and giving a questionnaire to media experts to assess the feasibility of the media aspect, a material expert questionnaire to assess the appropriateness of the material and a questionnaire to determine student responses as users. The data were analyzed by means of quantitative descriptive analysis which were then categorized. The result of this development is HMI practice learning media for industrial automation engineering practice courses which consist of HMI practice hardware, and jobsheets. The performance of the HMI training kit for input and output parameters, visualization of engine control in the form of buttons, sliders, output visualization, indicator lights, and overall graphics have a 100% correct performance. Based on media experts, design aspects, technical aspects and usefulness aspects were rated very well, so that overall the media aspect received an assessment in the very proper category Based on material experts, technical aspects and aspects of usefullness received an assessment in the very good category, so that overall the material aspect received an assessment in the very proper category. Based on assesment of students as users, the average score student response falls into the very good category.

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A Novel Wireless Sensor Network Data Aggregation Algorithm Based on Self-organizing Feature Mapping Neutral Network

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Ingenierie des Systemes d'Information 2019年第1期24卷 119-123页

作者： Zhou, Hong Yu, Kunming Program in Engineering Science Chung Hua University Hsinzhu30012 Taiwan Faculty of Computer and Software Engineering Huaiyin Institute of Technology Huai’an223005 China College of Computer Science and Electrical Engineer Chung Hua University Hsinzhu30012 Taiwan

Data aggregation is an efficient method to save energy and prolong the service life of wireless sensor networks (WSNs). In light of this, a data aggregation algorithm was constructed based on self-organizing feature mapping (SOFM) neural network and WSN cluster routing protocol. In this algorithm, each cluster was designed as a three-layer neural network model, which collect a large number of raw data. Then, the feature data were extracted from the raw data, and sent to the sink node. Through a simulation experiment, it is proved that the proposed algorithm, denoted as SOFMDA, outperformed a popular data aggregation method in energy consumption and data accuracy. © 2019 Lavoisier. All rights reserved.

关键词： Wireless sensor networks

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Prediction of electricity load growth of tangerang city using SIMPLE-E 2

Prediction of electricity load growth of tangerang city usin...

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2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

作者： Putra, Andi Aulia Nayusrizal, N. Untari, Indira Wibisono, Gunawan Hudaya, Chairul Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Depok16424 Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Depok16424 Indonesia Trunojoyo Block M-I No.135 Jakarta12160 Indonesia

ISBN: (纸本)9781728128252

The electricity load growth should be planned appropriately to meet energy demand in a certain area. Electricity consumption growth is generally proportional with the economic and population growth. Using historical data on Gross Domestic Regional Product (GDRP) and population growth, the electricity load growth in the near future can be statistically predicted. The relationship between economic and population growth trend and total customers as well as the demands of contract electricity energy growth trend could be connected by the linear regression method to predict electricity energy consumptions. Through a Simple Econometric Simulation System (SIMPLE-E) program run in Microsoft Excel application, linear regression trend can be calculated. The purpose of study is to predict the growth of electricity consumption in Tangerang City-Indonesia, for the next ten consecutive years (2019-2028). Customer data that will be analyzed consist of five segments, which are Residential (R), Commercial (B), Industry (I), Public (P), and Social (S). Those can be combined with Gross Regional Domestic Product and human population using Multiples Linear Regression in SIMPLE-E. The correlation between dependent variables (total customers and contract of power) and independent variables (population and GRDP) will be computed in SIMPLE-E through rate value of correlation R, Adjusted R, and Durbin Watson test. The Actual trend data of total customer, contract power from 2012 to 2018, is compared to model equation from linear regression. The calculation of error use Root Mean Square Percentage Error and Mean Percentage Error, shows that the total error is less than 5%, meaning the simulation is scientifically accepted. This study shows that the average growth of electricity consumption in Tangerang city from 2019 to 2028 is 5.63%. It means that every 1% growth of economy in Tangerang will increase electricity load consumption for 0.94%. © 2019 IEEE.

关键词： Errors

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Sweat sensing in wearable sensor: A review of the future non-invasive technology for real-time health monitoring system

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AIP Conference Proceedings 2022年第1期2537卷

作者： Elly Septia Yulianti Nurul Intan Siti Fauziyah Rahman Basari 1Biomedical Engineering Study Program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia 2Research Center for Biomedical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia

Wearable sensors are devices used in the diagnostic process for real-time health monitoring systems. Types of sensors are generally based on physical sensors and chemical sensors. However, the types of wearable sensors that are largely commercialized are limited to physical sensors. Some diagnostic processes generally use the blood collecting method to determine a patient’s condition. However, this method can cause adverse effects such as infection, pain, and bruising for some patients. Chemical-based wearable sensors are capable of detecting metabolic conditions in the body and can be an alternative to the existing method. Based on an approach using alternative analytes, sweat is the most frequently used because it is highly accessible and proceeds good parameters compared to the blood. Several studies related to wearable sensors using sweat have been done to increase convenience during the sampling process. Electrochemical, biosensor, and hybrid with several sampling methods, including microfluidic system, absorbent material, superhydrophobic-super hydrophilic surface, and iontophoresis, can be used for wearable sensor analysis method. Over the past decade, the characteristics of wearable sensors (i.e., selectivity, sensitivity, stability, and response time), textile materials, and biofuel cell technology for self-powered sensor development have also increased. From these classifications, it can be concluded that the method which is highly feasible to be developed is electrochemical wearable sensors that combine microfluidic and iontophoresis systems. The system is also expected to have stretchable material and is equipped with an integrated biofuel cell system that has the potential to be developed in our upcoming research topic.

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Experimental and Theoretical Insights on the Optical and Morphological Properties of Germanium Oxide Thin Films Deposited Via RF Magnetron Sputtering

SSRN

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SSRN 2022年

作者： Tüzemen, Ebru Şenadım Hopoğlu, Hicret Sarıtaş, Sevda Aydınoğlu, Hafize Seda Ertuğrul, Mehmet Maslov, Mikhail M. Kaya, Savaş Ungan, Fatih Gür, Emre Nanophotonics Research and Application Center Sivas Cumhuriyet University Sivas58140 Turkey Department of Physics Faculty of Science Sivas Cumhuriyet University Sivas58140 Turkey Faculty of Technology Department of Optical Engineering Sivas Cumhuriyet University Sivas58140 Turkey İspir Hamza Polat Vocatioanal School Ataturk University Erzurum Turkey Department of Medical Services and Techniques Program of Opticianry Vocational School of Healthcare Sivas Cumhuriyet University Sivas58140 Turkey Department of Electrical and Electronics Engineering Faculty of Engineering Atatürk University Erzurum25240 Turkey Department of Condensed Matter Physics National Research Nuclear University "MEPhI" Kashirskoe Shosse 31 Moscow115409 Russia Health Services Vocational School Department of Pharmacy Sivas Cumhuriyet University Sivas58140 Turkey Department of Physics Faculty of Science Ataturk University Erzurum25240 Turkey

In this study, the optical and morphological properties of germanium oxide (GeO2) thin films have been investigated by experimental and theoretical methods. The films were produced by reactive radio frequency magnetron sputtering (RFMS) under varying oxygen partial pressures ratio to the total pressure, 2%, 4%, 6%, 8%. The optical and structural properties of the films grown have been studied experimentally and theoretical calculations have been presented using density functional theory (DFT). As the x-ray diffraction (XRD) analysis is considered, Ge (111) peak has been observed in the films produced at 2% oxygen partial pressure ratio compared to all the other films has determined to be amorphous. Except for 2% film, the other films were annealed at 900oC, and as a result, GeO2 (101), GeO2 (110), GeO2 (102) and GeO2 (111) peaks were observed. The 2% film was annealed at different annealing temperatures (800, 850, 900, 950oC). As a result, the crystal property has changed compared to the others. It was found that the optical properties of the films grown are strongly dependent on the O2 pressures used. Although the 8% film has a fairly sharp absorption edge, the others are bad. The energy band gap increased with increasing oxygen. After annealing at 900oC, the absorption edge of the films showed a sharp behavior except 4%. There are Ge-O-Ge antisymmetric stretching peaks appeared at 861.51 cm-1, 949.94 cm-1 and symmetric stretching of hexagonal peaks at 516.34 cm-1, 546.29 cm-1, 581.95 cm-1. The results of Density Functional Theory calculations are in good agreement with experimental observations. © 2022, The Authors. All rights reserved.

关键词： Optical properties

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Design of BCI motor imagery classification using WPT-CSP and CNN

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AIP Conference Proceedings 2022年第1期2537卷

作者： Dio Alif Pradana Basari 1Biomedical Engineering Study Program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia 2Research Center for Biomedical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia

This study proposes a new method in an electroencephalograph (EEG)-based Brain-Computer Interface (BCI) that can directly utilize brain signals to control external devices. The motor Imagery (MI) signal, which contains an image of a certain limb movement, is generally used in BCI. It does not need direct movements. The implementation of MI-EEG signal into BCI still experiences major issues because the patterns obtained for each recording can vary from one another even though they have the same type of motion. In this study, we utilized the Wavelet Packet Transform (WPT) method to decompose the EEG signal into specific sub-band frequencies and Common Spatial Pattern (CSP) as a spatial filter to increase the spatial resolution of the EEG signal. The Convolutional Neural Network (CNN) was subsequently selected for training from the classifier. Next, the results of the training were used to classify the movements of the given MI-EEG. We evaluated the model using dataset 2a from Brain-Computer Interface Competition (BCIC) IV. The results of this method showed the increase in the accuracy of 32% and in Kappa up to 0.42 and the decrease in Root Mean Square Error (RMSE) up to 1.21, compared with only using CNN as the classifier. These results showed fairly good performance compared to other methods used previously in dataset 2a from BCIC IV.

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