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15th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2021

作者： Adiono, Trio Daud, Alija Rasyidi Institut Teknologi Bandung Program Studi Teknik Elektro Sekolah Teknik Elektro Dan Informatika Bandung Indonesia

ISBN: (纸本)9781665428927

The electricity smart meter is an Internet-of- Things (IoT) based intelligent electricity metering device. This device has a two-way data communication system connected to the internet using LoRA® technology so that electrical data can be accessed digitally. One of the main features of a digital electricity meter is the addition of electricity credits and payment through a payment gateway, so that users can top-up through payments at supermarkets, internet banking, or digital wallets. In addition, data on electricity meter usage can be accessed through an interface system by both operators and customers. In this system, a data communication system architecture on a digital electricity meter is made, which includes a database, protocol, server, so that it allows customers to access payments through payment gateways. Customers can also access electricity meter data, electricity meter control, notifications, through the provided interface. The results of the implementation of the payment gateway feature and data access through the interface went well as expected. © 2021 IEEE.

关键词： User interfaces

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Classification of Autism Histogram of Oriented Gradient (HOG) Feature Extraction with Support Vector Machine (SVM) Method

Classification of Autism Histogram of Oriented Gradient (HOG...

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Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA), International Conference on

作者： Melati Tamba Muhathir Badriana Mutammimul Ula Ilham Sahputra Fakultas Teknik Program Studi Teknik Informatika Universitas Medan Area Medan Indonesia Fakultas Teknik Program Studi Teknik Elektro Universitas Malikussaleh Aceh Indonesia Fakultas Teknik Program Studi Sistem Informasi Universitas Malikussaleh Aceh Indonesia

This article aims to develop and validate an Autism Classification system using the Histogram of Oriented Gradient (HOG) feature extraction method and Support Vector Machine (SVM). The research problem focuses on the difficulties in identifying early signs of autism in children based on their facial features and patterns. To approach this issue, we use theoretical references from the field of artificial intelligence and digital image processing. This system is developed based on data collected through empirical research, which is then qualitatively and quantitatively analyzed using the SVM method. The results show that the system achieves an accuracy rate of 88%, precision of 86.5%, recall of 87%, f1-Score of 86.5% and f2-Score of 86 demonstrating the system's effectiveness in identifying children who may have autism. The article concludes by stating that the developed Autism Classification system shows significant potential in the early detection of autism in children. This suggests that AI-based facial analysis can be a valuable tool in helping parents and healthcare professionals identify early signs of autism. Recommendations for further research are to validate the system's performance on larger and more diverse datasets to increase its reliability and generalizability.

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The use of User-centered Design Canvas for Rapid Prototyping 1

The use of User-centered Design Canvas for Rapid Prototyping

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1st Paris Van Java International Seminar on Computer, Science, Engineering, and Technology, PVJ ISComSET 2020

作者： Kautsar, Irwan Alnarus Ruslianor Maika, M. Program Studi Informatika Fakultas Sains Dan Teknologi Universitas Muhammadiyah Sidoarjo Indonesia Program Studi Perbankan Syariah Fakultas Agama Islam Universitas Muhammadiyah Sidoarjo Indonesia

This paper presents the use of User-Centered Design Canvas to help students design the user experience (UX) on the designated Collaborative Projects. The Collaborative Project itself has been conducted by students with multi-discipline backgrounds. The User-Centered design itself was widely used as an approach to software development in order to achieve better alignment between the user experience and the business goal. Adopting Business Model Canvas, the User-Centered Design Canvas was introduced as an acceleration tool for rapid prototyping and ensures the effectiveness and efficient manner for the sake of user satisfaction. As the results from the questionnaire, more than 78% of users express the benefits of the current adaptation of User-Centered Design Canvas. Also from the Log Metric Analysis, users2 have completed a designated task under 5 minutes with minimum repetition. This indicates that the use of proposed adaptation is easy to use and shows the effectiveness of the User-Centered Design Canvas for rapid prototyping. © Published under licence by IOP Publishing Ltd.

关键词： User centered design

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POGIL Learning Model—Metaphorming for Mobile-Based Cryptography Creation

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2024年第11期18卷 149-159页

作者： Nasution, Auliana Ambiyar Refdinal Arpan, Muhamad Putri, Elia Pendidikan Teknologi dan Kejuruan Fakultas Teknik Universitas Negeri Padang Padang Indonesia Program Studi Informatika Universitas Battuta Medan Medan Indonesia Jurusan Teknik Mesin Fakultas Teknik Universitas Negeri Padang Padang Indonesia Program Studi Pendidikan Teknologi Informasi dan Komputer IKIP PGRI Pontianak Pontianak Indonesia Program Studi Pendidikan Fisika Universitas Muslim Nusantara Al Washliyah Medan Indonesia

The cryptography course has a mathematical basis and involves programming algorithms in the creation process while the implementation utilizes a programming language. Cryptography has been widely implemented in everyday life. However, the interest and learning outcomes of students in cryptography courses have not met expectations. Process-oriented guided inquiry learning (POGIL) models integrated with metaphor. The POGIL metaphorming model is a student-centered learning model directed at active and creative thinking processes. One of the important processes in this stage is to develop a preliminary form of the product, conduct preliminary field testing, make the main product revision, conduct the main field testing, and perform operational product revisions. Based on the findings from the initial stage, an integrated learning model was developed for the cryptography course. Data for the model validation stage included model books, textbooks, lecturer’s guides, and student guides, calculated using content and construct validation techniques. Analysis of validity test data involves calculating the average score of all validator answers using Aiken’s coefficient v. The study results indicated that the model learning POGIL metaphorming is validly designed to enhance student learning processes and outcomes in cryptography courses. © 2024 by the authors of this article.

关键词： Cryptography

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Application of Backpropagation Algorithm for Handwriting Recognition

Application of Backpropagation Algorithm for Handwriting Rec...

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2020 Annual Conference on Science and Technology Research, ACOSTER 2020

作者： Farlinda, Sustin Yunus, Muhammad Pratama, Mudafiq Riyan Prakoso, Bakhtiyar Hadi Rahagiyanto, Angga Susilowati, Dyah Dasriani, Ni Gusti Ayu Hakim, Lukmanul Anam, Khairil Program Studi Rekam Medik Jurusan Kesehatan Politeknik Negeri Jember Indonesia Program Studi Ilmu Komputer Fakultas Teknik Dan Desain Universitas Bumigora Mataram Indonesia Program Studi Teknik Informatika Fakultas Teknik Universitas Maarif Hasyim Latif Sidoarjo Indonesia

Handwritten letter recognition is one form of pattern recognition. The introduction of letters looks simple to humans, but it becomes a tough task for computer programs to complete. In recognizing someone's handwriting, a computer program trained first. This study discusses how a computer recognizes a digital image pattern in the form of handwritten letters using the backpropagation algorithm. The backpropagation algorithm used in making this system is backpropagation with momentum. The network architecture used consists of an input screen with 64 neurons, a hidden screen consisting of 46 neurons, and an output screen with five neurons. Before the recognition process, input image with image format (jpg) processed first, which includes scaling, grayscale, and binarization. The trial results show that the system can recognize handwriting with an accuracy of up to 65%. © Published under licence by IOP Publishing Ltd.

关键词： Neurons

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Analysis of the AMARI COVID-19 application with the Technology Acceptance Model Method 1

Analysis of the AMARI COVID-19 application with the Technolo...

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1st International Conference on Advanced Information Scientific Development, ICAISD 2020

作者： Nuryanto, A. Setyawan, O. Riana, D. Hadianti, S. Aji, A.M.B. Pujiastuti, E. Program Studi Ilmu Komputer STMIK Nusa Mandiri Program Studi Teknik Informatika Indonesia

The purpose of this research is to know the influence of the application of AMARI COVID-19 to how well the use of the application is received in the community to prevent the spread of the virusCovid-19. This type of research is explanatory research with a quantitative approach. To this end, their responses to an online questionnaire (n=113) were analyzed using IBM SPSS Statistics 21 as software. The sampling techniques used are simple random sampling. Descriptive analysis is used to analyze the research hypothesis. The test results of the five hypothesis in the study stated that theAMARI COVID-19 application has a significant effect on the prevention of the spread of Covid-19 viruses, meaning it is accepted by the wider community as one of the tools that can help prevent the spread of COVID-19 diseases. © 2020 Published under licence by IOP Publishing Ltd.

关键词： COVID-19

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Comparison of Data Mining Algorithms Using Artificial Neural Networks (ANN) and Naive Bayes for Preterm Birth Prediction 1

Comparison of Data Mining Algorithms Using Artificial Neural...

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1st International Conference on Advanced Information Scientific Development, ICAISD 2020

作者： Puspitasari, Diah Ramanda, Kresna Supriyatna, Adi Wahyudi, Mochamad Sikumbang, Erma Delima Sukmana, Sulaeman Hadi Program Studi Sistem Informasi Fakultas Teknik Dan Informatika Universitas Bina Sarana Informatika Indonesia Program Studi Teknik Informatika Sekolah Tinggi Manajemen Informatika Dan Komputer Nusa Mandiri Indonesia

Premature birth is still a big problem in Indonesia, in general, 15 million babies are born prematurely every year, more than 1 million babies die from complications due to premature birth. Themain purpose of this study is to compare the Artificial Neural Network and Naive Bayes datamining algorithm models to predict preterm birth so as to obtain clinical evidence in preterm birth long before confinement so that sudden preterm birth can be converted to normal nativity. The model proposed in research on the prediction of preterm birth is by applying an Artificial Neural Network (ANN)algorithm and Naive Bayes algorithm. Where the two algorithms will be compared the level of accuracy and the value of the AUC against the prediction of preterm birth The results obtained that the prediction of preterm birth using the Artificial Neural Network (ANN) algorithm produces an accuracy value of 90.67% and an ROC value of 0.954. While the Naive Bayes algorithm produces an accuracy value of 84.53% and an ROC value of 0.929. For this reason, it can be concluded that the Artificial Neural Network (ANN) algorithm has a superior accuracy of 6.14% and 0.025 for its ROC value in predicting preterm birth. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Forecasting

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Wireless Scoreboard Technology Architecture for Athlete Performance Data Warehouse at Multiple Table Sports Games 1

Wireless Scoreboard Technology Architecture for Athlete Perf...

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1st Paris Van Java International Seminar on Computer, Science, Engineering, and Technology, PVJ ISComSET 2020

作者： Dwipriyoko, Estiyan Widjajani Sari, Wahyu Purnama Mujiarto Program Studi Informatika Fakultas Teknik Universitas Langlangbuana Bandung Indonesia Program Studi Teknik Industri Fakultas Teknik Universitas Langlangbuana Bandung Indonesia Department of Mechanical Engineering Universitas Muhammadiyah Tasikmalaya Indonesia

The presence of technology brings many new changes that facilitate human life. In the field of information for sports competition results in the form of a scoreboard. Scoreboard is used in sports tournaments as a display of the results of a tournament. So everyone who is in the arena can find out the results of the tournament score. Scoreboard generally displays the value of the tournament, displays the time of the tournament and the number of rounds during the tournament. The majority of scoreboard shows only one result from one tournament, while there are tournaments where several teams compete simultaneously in one room, so the audience has difficulty knowing the score of other tournaments even though they are in one room. For example, in a pool or table tennis tournament, in one arena there are more than one team competing. At that time, usually the scoreboard is only on each table. That causes a limited number of scoreboard that can be seen by the audience, not all tournaments. Meanwhile, the scoreboard used in Indonesia also still uses the remote and cable as the transmission media when inputting scores. The remote is held to a distance according to the length of the cable which is very impractical. The space for the remote holder is also not flexible because the remote is connected by a cable. Therefore, in inputting the score there is no need to use cable anymore, because this application is web-based and connected via a wireless network. The purpose of this research is: to make it easier to record scores of tournaments with multiple tables, and to record performance statistics from athletes. The benefits of this research are: to make it easier to record values because they are connected to a wireless network and display them in real time, and get athlete performance statistics during the competition. © Published under licence by IOP Publishing Ltd.

关键词： Cables

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Linear Stability Analysis to Determine Boundary Between Stable or Unstable Flow in Nonlinear Simulation of Vorticity Equation 2

Linear Stability Analysis to Determine Boundary Between Stab...

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2nd International Conference on Cybernetics and Intelligent System (ICORIS)

作者： Sihotang, Farida Nurmala Sari, Titania Sekolah Tinggi Teknol Bandung Program Studi Tekn Informatika Bandung Indonesia

ISBN: (纸本)9781728172576

The nonlinear simulation of the vorticity equation is exciting because it provides a more realistic view, it is consistent with the previous investment. However, a linear stability analysis is needed to determine the stability limit of the system, which serves as a guide in determining the flow limits for stable and unstable flows. We use numerical methods to solve this linear stability analysis. This analysis utilizes the Fourier series in the linear form of the vorticity equation, then the vorticity-stream equation containing the Fourier coefficient will be formed in the matrix. Next, numerically using Matlab, we look for the eigenvalues of the matrix to determine the k, beta and Reynolds number values. If one of the eigenvalues has a real positive form given k, beta, and Reynolds number, then the equilibrium solution of the vortex equation is unstable. From graphing the real part of the eigenvalues, which is a function of the Reynolds number for some beta with k = 0.5, we get the critical point of the Reynolds number. By using a Reynolds number greater than the critical Reynolds number give result in an unstable fluid from the simulation. Vice versa, simulation using the Reynolds number, which is smaller than the critical Reynolds number will produce a stable flow. And from the linear stability curve, we know that for k > 1, the flow is stable for every Reynolds number.

关键词： eigenvalue equilibrium linear stability Reynold number vorticity

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Rindik rod sound separation with spectral subtraction method 3

Rindik rod sound separation with spectral subtraction method

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3rd International Conference on Vocational Education and Technology, IConVET 2020

作者： Christian, Y. Darmawan, I.D.M.B.A. Program Studi Teknik Informatika Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Udayana Jalan Raya Kampus Unud Jimbaran Badung Bali Indonesia

Rindik is a traditional music instrument originated from Bali that consists of 11 bamboo rods and played by a person hitting the bamboo rod with a rubber mallet in each player's hands. Documentation of Rindik songs with automatic music transcription work is easier to do by separating it first. To overcome that challenge, two Rindik rods sound were separated using the spectral subtraction method. The noise spectrum is the spectrum of a single rod sound that needs to be muffled. The resulting audio is the other single rod sound and vice versa to get both single rod sound. The data consisted of single rod hit sound recordings of 11 single rod sound and 55 combinations of two-rods sounds being hit at the same time. The performance of the spectral subtraction method in separating Rindik sound was measured with MSE and SIR and also heard the noise exists in the separated audio signal. The experiment demonstrated a state-of-the-art performance consists of spectral subtraction with squared noise average magnitude with average MSE value 0.0126 and average SIR value 55.68 dB. © Published under licence by IOP Publishing Ltd.

关键词： Audio acoustics

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