Indonesia Conference Directory

Corresponding Author
Irfan Dwiguna

Institutions
UNIVERSITAS KOMPUTER INDONESIA

Abstract
The purpose of this research is to develop technology so that it can be used in transportation modes, one of which is "Travel" transportation. The method used in this security technology is the action research which aims to develop new knowledge products to solve problems with direct application in the real field. The results of this security solution research proved to be effective and efficient in helping travel parties to monitor employees , the location of vehicles and passengers who were given a sense of security, comfort and trust in choosing the travel service. This is because passengers often feel restless because of lack of security facilities, therefore a security system is needed that can be a security and comfort solution for passengers. It is expected that the application of this system can be applied by travel service providers and other public transportation.

Keywords
Security technology, Travel Service, Transportation

Topic
Computer Science

Link: https://ifory.id/abstract/mBwRZeAU2Xcx

Corresponding Author
Sri Rahayu

Institutions
Department of Informatic Engineering, Sekolah Tinggi Teknologi Garut, Jl. Mayor Syamsu No. 1, Garut 44151, Indonesia

Abstract
Given the global competition that is increasing with the rapid information technology that has penetrated the world of information technology strategic planning education is a mandatory solution that must be considered by Muhammadiyah 2 Kadungora Vocational School located in the region. The focus of this research is to analyze the entire business process at Muhungadiyah 2 Kadungora Vocational School, and design strategic IS / IT. This research begins by explaining the external and internal business environment of Kadungora Muhammadiyah 2 Vocational School to determine the five power models and institutions that define success. Next is an analysis of the external and internal situation of IS / IT to find out the world technology trends and the current portfolio of application institutions. The next step is the strategy process (SI, IT, and SI / IT management), then the last level is to determine the future SI / IT applications of Muhungadiyah 2 Kadungora Vocational School. The results achieved are recommendations for the IS / IT application portfolio that must be owned by Kadungora Muhammadiyah 2 Vocational School

Keywords
APPLICATION PORTOFOLIO;COMPETITIVENESS;INFORMATION TECHNOLOGY;SYSTEM INFORMATION;STRATEGIC PLANNING;

Topic
Computer Science

Link: https://ifory.id/abstract/NXucemjETHDJ

Corresponding Author
Ultach Enri

Institutions
Faculty of Computer Science, Universitas Singaperbangsa Karawang, Karawang 41361, Indonesia

Abstract
Skills Competency (UKK) is part of government intervention in ensuring the quality of education in the Secondary Vocational School aims to measure the achievement of a certain level of competency in students- appropriate competency skills. The C4.5 algorithm is the algorithm for classification learning machine learning and data mining that generate either a decision tree, each attribute selection is used in determining the best criteria for classifying the tuple. Feature selection is done to reduce irrelevant features and reduce the dimensions of the features in the data. The purpose of the research is to find out how competent the students- in their vocation as well as new strategies for educators in providing a more effective learning. Students- competency expertise data from department of computer engineering and networks in SMK TI Muhammadiyah Cikampek will be used. Overall the results of the validation of the model experiments that have the best influence is supplied with a set of test accuracy values of 96.875%, and 13 optimal attributes are selected. The utilization of the feature selection is to reduce the size of the input data that will be managed on processing and analysis. Therefore, in this study the C4.5 algorithm with feature selection can provide good and effective results.

Keywords
C4.5 Algorithm, Data Mining, Feature Selection

Topic
Computer Science

Link: https://ifory.id/abstract/wtfLuRZ37NFX

Corresponding Author
Priska Choirina

Institutions
State Polytechnic of Malang

Abstract
Micro-expression recognition is one of the popular researches in analysing expressions on the face. Micro-expression is a facial movement that occurs in a short time and is difficult to identify manually by human eyes. In general research, facial landmarks are used to form a large size ROI for each facial feature for the feature extraction process. In this study, we utilize certain points in the face to trace the subtle motion of the face for the introduction of micro-expressions in the sequence of onset images to offset. The method of determining the landmark points to be compared is the Discriminative Response Map Fitting method and the Active Shape Model method. This research proposes to use 19 points in the area of the eyebrows, eyes, and mouth. To measure the subtle motion tracking of facial features in each frame tracking is done using the Kanade Lucas Tomasi method. The features obtained are the differences in coordinate values between frames, magnitude, and theta. We evaluated the method proposed in CASME2 and SAMM showed that using naive bayes is 74.6% and neural network is 63.5% classification accuracy in SAMM. In CASME2 using naive bayes is 79.6% and neural network is 61.1% classification accuracy.

Keywords
Micro-Expression;Feature Point; Active Shape Model (ASM); Discriminative Response Map Fitting (DRMF); Kanade-Lucas-Tomasi (KLT)

Topic
Computer Science

Link: https://ifory.id/abstract/azg3peDj97cT

Corresponding Author
Farihin Lazim

Institutions
State Polytechnic Of Malang

Abstract
Image reconstruction of traffic signs serves to improve the image quality of traffic signs that are blocked by leaves or tree branches so that it can facilitate the process of detecting and recognition traffic signs. Inpainting is one of the image restoration methods to reconstruct images that have been damaged or the removal of unwanted objects where the area to be restored is based on information around the area. Criminisi introduces an inpainting method with an exemplar-based approach that combines the structure-oriented and texture-oriented scheme. While Hung popularized the Criminisi method and combined it with contour construction (bezier curve). The researcher tried to compare the two methods by using a number of images of traffic signs, one of them by using images with a size of 123 x 116 issuing the results of Mean Squared Error (MSE), the criminisi method gets results from MSE 69,70 while the hung method gets results from MSE 68,04 . Based on the reconstruction process of both shows the average hung method is smaller than the MSE results which means the closeness of the reconstruction results with the original image is closer to the hung method than the criminisi method.

Keywords
traffic signs, image reconstruction,image recognitions, curve bezier.

Topic
Computer Science

Link: https://ifory.id/abstract/cuzhKn9YEX3J

Corresponding Author
Demmy Dharma Bhakti

Institutions
(1.1) Department of information system, Institut Pendidikan Indonesia, Jl. Pahlawan No.32, Garut 44151, Indonesia
(1.2*) Department of information technology education, Institut Pendidikan Indonesia, Jl. Pahlawan No.32, Garut 44151, Indonesia
(2) Department of information system, Institut Pendidikan Indonesia, Jl. Pahlawan No.32, Garut 44151, Indonesia

soraturaes[at]gmail.com

Abstract
This Ruangguru application study aims to determine the relevance of application functions based on the principles and paradigms of Human and computer Interaction (HCI). In this study, the aspects evaluated included aspects of human, technology, usability, and ergonomics. The interest in studying the Ruangguru application is based on several sources stating that Ruangguru is believed to be the best education platform. So from that sentences, it was examined several aspects to determine the extent of the relationship between the Ruangguru application and HCI principle. After the study was conducted, the Ruangguru application was assessed to have fulfilled these aspects. So its no wonder the Ruangguru application is used as an online learning center among Indonesian students.

Keywords
Ruangguru application, HCI

Topic
Computer Science

Link: https://ifory.id/abstract/CWbEUBDYHJGP

Corresponding Author
jamaaluddin jamaaluddin

Institutions
Universitas Muhammadiyah Sidoarjo

Abstract
The use of Fuzzy logic in the forecasting process, problem analysis and decision making of a process are often used. The development of this fuzzy logic by widening the foot of the membership function as interval fuzzy type 2, fuzzy signature or carried out hybrid between fuzzy logic and other artificial intelligence systems or hybrid algorithm has also got quite good results. At this time, a multilevel fuzzy logic method is proposed. This multilevel Fuzzy Logic is interesting behind the input of a process in fuzzy logic which is the output of the previous fuzzy logic or the output of a fuzzy logic analysis is input into the next stage of fuzzy logic. This multilevel fuzzy logic can be done up to several levels of depth according to the variables to be analyzed. If the final analysis has the equation X(i) + Y(i) = Z(i), then the value of X (i) can be the result of Z(i-1), where Z(i-1) is the result of the Fuzzy Logic X(i-1) + Y(i-1), by performing multilevel fuzzy Logic is expected to have the value of forecasting errors or problem analysis and decision making will be better and more precise.

Keywords
Fuzzy Logic, Multilevel Fuzzy Logic, Interval Fuzzy Type-2

Topic
Computer Science

Link: https://ifory.id/abstract/64nNhDVArMWt

Corresponding Author
beki subaeki

Institutions
a) Department of Informatic Engineering, Sunan Gunung Djati State Islamic University Bandung, Indonesia
* bekisubaeki[at]uinsgd.ac.id
b) Department of Information Communication Technologhy AEU, Malaysia
aedah.abdrahman[at]aeu.edu.my
c) Department of Information System, Syarif Hidayatullah State Islamic University Jakarta, Indonesia
syopian[at]uinjkt.ac.id
d) Department of Informatic Engineering, Sunan Gunung Djati State Islamic University Bandung, Indonesia
cecep.uinsgd[at]ac.id

Abstract
Researchers have done research on information systems before; because, the breadth of studies about IS. [1], [2] is an example of a study on how to measure Information System Success by testing instrument factors. Some researchers can produce different judgments regarding the success of implementation of IS; this is because the first definition of success of each researcher is changed, the two perspectives on success assessment, the three variables used, the four implementations in different environments. Several models can be used as references to assess the success of IS, Delone and McLean are examples that are widely used as references, which use six variables in measuring IS implementation. From the model used, later there will be a gap in determining the model, and this becomes an opportunity for the development of the model as follows. The development of models to measure information system success can be done by adoption, adaptation, and combination. This is legitimately valid as long as the development of the model is accompanied by supporting theories. The purpose of literature review can provide an overview of related to the method of previous researchers. Then it can be used as a framework for solving problems.

Keywords
success model, delone and mclean, is success, information system.

Topic
Computer Science

Link: https://ifory.id/abstract/jXA9MbfVkepB

Corresponding Author
Intan Nurma Yulita

Institutions
Padjadjaran University

Abstract
Autism spectrum disorder (ASD) is a developmental disorder that affects communication and behavior. ASD can be seen in children since toddlers. The knowing toddler has ASD is very important. It can anticipate as early as possible to minimize the worsening of ASD. It can be done by early detection. The mechanism is recognizing patterns form existing data to build detection models. The system can be built using machine learning mechanism. It has been widely used to help diagnose medical data. Support Vector Machine (SVM) is a method in machine learning. This study implemented it in the data which came from 1054 ASD patients. The study also compared the method to other machine learning methods. The results were obtained that SVM accuracy is higher than others. The SVM obtained an accuracy of 99.90%. It shows that SVM promising tool for the diagnosis of ASD.

Keywords
Autism Spectrum disorder, Machine Learning, Support Vector Machine, Toddler

Topic
Computer Science

Link: https://ifory.id/abstract/zer9FnxcX6gp

Corresponding Author
Alwin Melkie Sambul

Institutions
Universitas Sam Ratulangi

Abstract
One of the challenges for the people who live in the rural islands of the developing countries is the lack of access to education. Although ICT (Information and Communication Technology) is increasingly regarded as an essential tool to support learning activities in rural areas, the availability of telecommunication infrastructure in such areas is still problematic, primarily because of high implementation cost and low revenue. This study aimed to develop an e-Learning model for the community in the rural islands which utilize ship to deliver to and receive data from the island using store-and-forward communication technique over a transient long-range wireless link established when the ship is at a certain distance from the island. Here we focused on the design of a synchronization method between databases of multiple learning management systems (LMS) between the ship and the island. The design has been implemented and tested using Moodle installed on low-power Raspberry Pi computers. The result showed that our design is suitable to be used in such requirements, hence making it a feasible solution to support ICT-based learning for the people in rural islands.

Keywords
Database synchronization; learning management system; store-and-forward; e-Learning; rural islands

Topic
Computer Science

Link: https://ifory.id/abstract/qGAgaceQhz4R

Corresponding Author
Fauzi Bakri

Institutions
a) Department of Physics Education, Faculty of Mathematics and Sciences, Universitas Negeri Jakarta, Jakarta 13220, Indonesia
*fauzi-bakri[at]unj.ac.id

Abstract
Radiation concept in Nuclear subject in Physics Learning include some devices, such as: Geiger Muller counter, Wilson cloud chamber, scintillation detector. The aim of this research is to visualizes the radiation concept from that devices using augmented reality technology. The result show the 3-D animation can: describe the mechanism of the Geiger muller counter detector to detect radiation; describe the mechanism of Wilsons fog chamber detects radiation; and describe the mechanism of the scintillation detector tool to detect radiation. All the markers developed get a decent value to be used as a medium for learning physics about radiation concept.

Keywords
Augmented Reality technology, radiotion concepts, 3D Animation

Topic
Computer Science

Link: https://ifory.id/abstract/UL6nV3Tmpu2K

Corresponding Author
Handjoko Permana

Institutions
a) Department of Physics Education, Faculty of Mathematics and Sciences, Universitas Negeri Jakarta, Jakarta 13220, Indonesia
*handjoko[at]unj.ac.id

Abstract
Augmented Reality is a technology that can provide positive perceptions of lessons, improve learning experiences, and improve learning achievement. It visualizes the phenomenon obtained by the results of laboratory research. This research was to design and develop the marker of radioactive concepts. The stages consist of determine the instructional needs and goals, develop the markers, and evaluate from peers. We generate two markers for this concept: radioactive light penetration and radioactive light beam by electric field. The markers were developed based upon the identification of instructional needs and expected to assist in the achievement of the instructional objectives. The peer assessment results indicate that the marker design on radioactive concepts supports the physics learning through technology-rich environment.

Keywords
Augmented Reality, radioactive concepts, 3D Animation

Topic
Computer Science

Link: https://ifory.id/abstract/x8ve7B3YRHJa

Corresponding Author
Diah Ambarwulan

Institutions
a) Department of Physics Education, Faculty of Mathematics and Sciences, Universitas Negeri Jakarta, Jakarta 13220, Indonesia.
*dmuliyati[at]unj.ac.id
b) Department of Chemistry, Faculty of Mathematics and Sciences, Universitas Negeri Jakarta, Jakarta 13220, Indonesia.
c) Department of Physics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung,
Jl. Ganesa No. 10, Bandung 40132, West Java, Indonesia.

Abstract
Granular particles have wide applications in various industrial fields, one of which is the beauty industry. One important part of this industry is the character of powder-size interactions with porous skin surfaces. This interaction can be modeled by the interaction of granular particles with a porous surface. Simulation that has been done can visualize the process of granular attachment on a horizontal porous surface. This simulation is 3-dimensional visualization using uFlex assets on unity software. The surface system is arranged in 3 pore sizes. Each surface is tested using 5 granular particle sizes. The results showed that the particles entering the porous surface system were influenced by the falling speed, porous hole diameter, coefficient of granular restitution and collision between granular particles.

Keywords
granular particle, porous surfaces, uflex unity assets

Topic
Computer Science

Link: https://ifory.id/abstract/DrGPVkZJqWbH

Corresponding Author
Fauzi Bakri

Institutions
Physics Education Department, Universitas Negeri Jakarta

Abstract
Visualization of abstract concepts will facilitate the understanding of physics concepts. The concept of abstract Lorentz styles can be simulated in three dimensions with augmented reality technology. A simulation is produced which displays the Lorentz style concept by making changes to magnetic field variables and flowing currents. The simulation has succeeded in providing a description of the relationship between the magnetic field and electric current which is directly proportional to the Lorentz force.

Keywords
physics simulation, lorentz force, augmented reality

Topic
Computer Science

Link: https://ifory.id/abstract/df2zE7P9NFwT

Corresponding Author
irsyad nugraha

Institutions
Institut Pendidikan Indonesia

Abstract
Abstract EFL learners tend to ignore the importance of understanding English phonetics in spite of its significance in language acquisition process. The failure of using and understanding English phonetics leads to mispronunciation issues which in turn impede both oral and written communication. Concerned with this issue, the research developed the use of augmented reality (AR) technology to facilitate English phonetics learning processes. The technology combined virtual objects and video clips in more attractive and interactive learning environment. This study described the steps and procedures of developing augmented reality as English Phonetic learning media and disclosed how the students utilized this media in their learning processes.

Keywords
Designing Augmented Reality, Phonetics, Education Regulation, and Government objectives

Topic
Computer Science

Link: https://ifory.id/abstract/aEzmJGtFUHLc

Corresponding Author
Anita Ahmad Kasim

Institutions
1)Departemen of Information Technology, Tadulako University, Palu, Indonesia

2)Department of Architecture, Tadulako University, Palu, Indonesia

3)Department of Computer Science, Mulawarman University, Samarinda, Indonesia

Abstract
The problem in this research is the difficulty in distinguishing batik motifs from non-batik motifs for people who do not understand batik motifs. The classification of batik motifs can be done by processing digital images of batik motifs using artificial neural network methods for the classification of batik image motifs. This study aims to utilize artificial neural networks to distinguish batik motifs and non-batik fabric motifs. Several important steps are needed, namely the process of acquiring batik and non-batik images, pre-transforming batik and non-batik images to gray scale forms, texture feature extraction in gray scale images and detection of motifs using networks artificial nerve. Image acquisition is done by collecting batik and not batik images from several different motifs. The preprocessing process is done by changing the image size to 256 x 256. Sixteen texture features are used, namely Angular Second Moment (ASM), contrast, correlation and Inverse Different Moment (IDM) with 45 ° angle intervals, namely 0 °, 45 °, 90 ° and 135 °. Processing data sets is divided into 70 percent as training data and 30 percent as testing data. Artificial neural network models used in this research use the Backpropagation learning algorithm by comparing the Scaled conjugate gradient algorithm (trainscg) training method and the Levenberg-Marquardt algorithm (trainlm) training method. The results obtained for the accuracy of the batik detection model using the Scaled conjugate gradient algorithm (trainscg) training method were higher with an accuracy value of 86.7%, compared to the Levenberg-Marquardt algorithm (trainlm) method by 73.5%.

Keywords
batik,textura features,ANN

Topic
Computer Science

Link: https://ifory.id/abstract/CuJMrhcnLVQP

Corresponding Author
Fauzi Bakri

Institutions
Physics Education Department, Universitas Negeri Jakarta

Abstract
Electromotive force can be simulated using unity. The process of voltage formation can be visualized by showing the movement of the coil in a magnetic field. The resulting three-dimensional visualization can make the electromotive force process abstract into reality with Augmented Reality technology. A simulation is produced which displays changes in the number of turns, magnetic fields and generator playback times. The simulation has succeeded in providing an interesting description of the ratio of variables to the magnitude of the electric force generated in the generator.

Keywords
physics simulation, electromotive force, augmented reality

Topic
Computer Science

Link: https://ifory.id/abstract/jLeyqfVHJt3U

Corresponding Author
Ekojono .

Institutions
Politeknik Negeri Malang

Abstract
Learning to count on elementary school students must be trained in how to memorize, many practice questions are done repeatedly. This counting exercise needs to be stimulated so that students have the motivation to learn, this kind of training is mostly done by the teacher to students by giving questions in turns in one class as if the students are in a game playing condition. Counting exercises can be applied in the form of games with applied counting operations learning to train students to count quickly. The approach with attractive application visualization is expected to be able to help the learning of elementary school level students, especially class 1. Tsukamoto Method, in each rule is represented using a fuzzy set, using a monotonous membership function. To be able to determine the value of crisp output or firm results. By using the Unity 3D game engine that is capable of making 2D games, the Fuzzy Tsukamoto method is used to determine the final game score. Tests that have been done show that the results of the questionnaire that game 2d on the functionality aspect get a result of 3.97 on a scale of 5.

Keywords
game, count Fuzzy Tsukamoto

Topic
Computer Science

Link: https://ifory.id/abstract/2gQzfbtRN8dc

Corresponding Author
Demmy Dharma Bhakti

Institutions
(1*) Department of information system, Institut Pendidikan Indonesia, Jl. Pahlawan No.32, Garut 44151, Indonesia
(2) Department of information technology education, Institut Pendidikan Indonesia, Jl. Pahlawan No.32, Garut 44151, Indonesia
(3) Department of information system, Institut Pendidikan Indonesia, Jl. Pahlawan No.32, Garut 44151, Indonesia

soraturaes[at]gmail.com

Abstract
Communication is difficult for children with hearing impairments due to the limitations of their hearing senses. In addition to communicating using natural cues they can also use the Indonesian Language System Dictionary (Dictionary SIBI) published by the Ministry of Education in the form of print. Dictionary Electronic sign language is starting to be used a lot, of course electronic dictionaries are more effective and flexible compared to dictionaries in general (print). A more effective electronic dictionary is used in searching for the signals sought and because they are efficient and easy to use. This journal discusses how to build / design the design of an electronic sign language dictionary application for deaf children.

Keywords
Communication, Deaf Children, Indonesian Language System Dictionary (SIBI)

Topic
Computer Science

Link: https://ifory.id/abstract/aZvUxWbQtL9Y

Corresponding Author
Muhamad Nursalman

Institutions
Department of Computer Science Education, Faculty of Math and Science Education, Universitas Pendidikan Indonesia

Abstract
Efficient multiplier in Finite Field is needed in its implementation in the cryptography field. The NAIK algorithm provides fast steps and efficient solutions in forming the desired multiplier. The formation of an efficient multiplier GF(2^8) will be formed with the NAYK algorithm without being constructed from the smallest values, but directly from the value 8 itself. In comparison with the results of the Generalization of Karatsuba Algorithm, the NAYK algorithm provides a more efficient solution.

Keywords
Efficient multiplier, Finite Field, GF(2^8), NAYK Algorithm, Generalization of Karatsuba Algorithm

Topic
Computer Science

Link: https://ifory.id/abstract/46QUhMwjBYGq

Corresponding Author
Gugun Geusan Akbar

Institutions
a)Department of Public Administration, Universitas Garut, Jalan Raya Samarang 52A, Garut 44151, Indonesia
*gugun.ga[at]fisip.uniga.ac.id
b) Department of Informatics, Sekolah Tinggi Teknologi Garut, Jalan. Mayor Samsu No. 1 Garut 44151, Indonesia

Abstract
Currently, the industrial revolution 4.0 enforce everything to change, including the way government gives service to public. This research aims to evaluate the quality of local government website in order to give public service in Indonesia. The research method used is empirical studies with formulation model design using eGovqual attributes. It is used in order to analysed the quality of public service website of 27 Local Government in West Java Province as the highest population in Indonesia. The result of this research showed that most of the local government website is still weak in its functional, trust and ease of use. The assessment results showed detailed structural descriptions of what needs to be improved on the website to improve its usefulness. The suggestion is the expectation of this research that can help effective website development in order to improve public service quality.

Keywords
EGovernment, Local Government, EGovqual

Topic
Computer Science

Link: https://ifory.id/abstract/ufA9rZe4hPT6

Corresponding Author
Muhamat Maariful Huda

Institutions
State Polytechnic of Malang

Abstract
In foreign exchange money trading, historical data are publicly available continuously. This historical data such as opening, highest, lowest, and closing rate are important variable to predict the future of rates movement. The available data is not only historical trading itself, but also from news release and expert analysis from expert trader. This kind of data contains text and number. This paper proposes in forecasting the rates by combining text and number data. The combination of text mining technique with several time series method i.e: simple moving average, weighted moving average and exponential moving average. Research period for this experiment is between 1st December 2018 and 31st January 2019. The currency pair are EURUSD, USDJPY and EURJPY. Forecasting results with some time series method were compared with combined time series forecasting method and naive bayes classifier. The experiment results show that combined time series method with naive bayes classifier delivered better accuracy level.

Keywords

Topic
Computer Science

Link: https://ifory.id/abstract/3xLKdTuZeyWm

Corresponding Author
Elis Ratna Wulan

Institutions
UIN Sunan Gunung Djati Bandung

Abstract
Blood stock needs in blood transfusion unit of Palang Merah Indonesia in Bandung district are decreasing due to several things. To resolve this problem, a method to predict future blood stock needs is needed. With Fuzzy Mamdani method, the prediction results can be grouped into categories, those are stock in stock and fixed stock. Based on system testing and manual testing carried out in this study, it was found that Mamdani fuzy had a high enough level of accuracy of 88.88% to predict blood stock needs in Blood Transfusion Unit of Palang Merah Indonesia in Bandung district.

Keywords
Fuzzy, mamdani, transfusion, blood, predictions, stock

Topic
Computer Science

Link: https://ifory.id/abstract/XkuCqfZxYcFd

Corresponding Author
Yana Aditia Gerhana

Institutions
a) Departement of Informatics Universitas Islam Negeri Sunan Gunung Djati Bandung

Abstract
Games and simulations have become one of the most effective learning models. This study aims to implement the Depth-first Search Algorithm on computer assembly 3D simulation learning models. The development framework uses Luthers multimedia development model. The object of this study were 40 vocational education teachers in West Java. Technology acceptance model (TAM) is used as a framework for measuring teacher acceptance of the learning model developed. The measurement results, Perceived Ease of Use (PEOU) has a significant effect on Perceived Usefulness (PU) of 70.2%, Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) have a significant effect on Atitude Towards Using Technology (ATUT) of 82.5% , Perceived Usefulness (PU) and Atitude Towards Using Technology (ATUT) significantly influence Behavioral Intention to Use (BITU) of 81.6%. Perceived Usefulness (PU) and Atitude Towards Using Technology (ATUT) have a significant effect on Behavioral Intention to Use (BITU) of 80.2%.

Keywords
Learning Media, simulation, Depth-First Search, TAM

Topic
Computer Science

Link: https://ifory.id/abstract/M8QTafy2NjCx

Corresponding Author
Bobi Kurniawan

Institutions
Universitas Komputer Indonesia

Abstract
The purpose of writing this paper is to analyze the effect of developing digital payments on current patterns of public spending. The method used in the writing of this paper is a descriptive method, where this method is intended to describe events related to digital payments and public spending patterns, and supported by theoretical foundations both from abroad and domestically. Digital payment is a payment system that uses internet facilities as an intermediary. The results of this study indicate that digital payments have an effect on public spending patterns. Many people feel helped by the existence of this digital payment because with the existence of digital payments the public feels easier in making transactions. This can be seen from the number of people who make transactions using e-money every day. Therefore, many patterns of public spending change, from those who initially shop at direct retail stores (offline), now shop through applications (online stores) or what we often know as e-commerce.

Keywords
Digital Payments, Public Spending, and Transactions

Topic
Computer Science

Link: https://ifory.id/abstract/AXHZPUnaB4Rt

Corresponding Author
Dewi Tresnawati

Institutions
Sekolah Tinggi Teknologi Garut

Abstract
Current technological developments have had a huge impact on education, one of which is Augmented Reality technology. In this study, innovative and alternative media learning was made to understand the types of planets in the solar system. The solar system is one of the material in natural science subjects in elementary schools. This media learning combines picture cards and virtual reality. Markers found on the card will be captured by the camera of the mobile device, processed and animated pieces will appear on the mobile screen in realtime. By using the concept of combining the real world, real images on the card and virtual, the application can stimulate imagination and a sense of desire and motivation to learn more and more. Planet estimates are made using the 3D Blender application, and the Augmented Reader process is created using Unity and Vuforia Software Development Kit. Based on the results of testing betha using the Likert scale, 86% of the 30 respondents stated that the application developed was very effective as a medium for the introduction of the planet.

Keywords
Augmented Reality, Learning Media, Planet, Solar System

Topic
Computer Science

Link: https://ifory.id/abstract/PzNjMD36mVxv

Corresponding Author
HINDAYATI MUSTAFIDAH

Institutions
Universitas Muhammadiyah Purwokerto

Abstract
The training algorithm is the main driver in artificial neural networks. The performance of the training algorithm is influenced by several parameters including the number of neurons in the input and hidden layers, epoch maximum, and the size of the learning rate (lr). One of the benchmarks for optimizing the performance of training algorithms can be viewed from the error or MSE (mean square error) produced. The smaller the error, the more optimal the performance. The test conducted in the previous study obtained information that the most optimal training algorithm based on the smallest error produced was Levenberg Marquardt (LM) with an average MSE of 0.001 and using 10 neurons in the hidden layer. In this study, the LM algorithm was tested using variations in the number of neurons in hidden layers, namely 2, 4, 5, 7, 9 neurons, and used the same parameters as previous study. This study uses a mixed method that is developing computer programs and quantitative testing of program output data using statistical test. The results showed that the LM algorithm had the most optimal performance using 9 neurons in the hidden layer at the level of lr 0.5 with the smallest error of 0.000137501.

Keywords
neuron, hidden layer, learning rate, Levenberg Marquardt, error

Topic
Computer Science

Link: https://ifory.id/abstract/8EYKDW9nB7zP

Corresponding Author
Nuria Reny Hariyati

Institutions
Akademi Farmasi Surabaya

Abstract
International databases are currently abundant, one of which is a database on the study of radicalism in international journals. This study aims to explore the study of international journals related to the theory, methodology, and practice of radicalism. The method used in this study is qualitative. The data source used is data from online international journals. The results and discussion of the study indicate that categorization is as follows. Radicalism in the field of politics, radicalism in the field of education, radicalism in the cultural field. Radicalism in politics occupies 61 percent, radicalism in education occupies 29 percent, and radicalism in the cultural field occupies 10 percent. Thus, it is concluded that the highest radicalism is in the political field.

Keywords
radicalism, database, international journal

Topic
Computer Science

Link: https://ifory.id/abstract/CvefLZ7EFBa4

Corresponding Author
Rinda Cahyana

Institutions
Sekolah Tinggi Teknologi Garut
Jl Mayor Syamsu 1, Garut, 44151, Indonesia

Abstract
The tourism industry activities in the information society are related to interactions between tourism actors and information technology in a variety of services. The TIGER society is centered on the tourism industry business (T) and other accompanying industries (I) with full support from the government (G). Its service quality is influenced by the education process (E) and service development, based on local wisdom in the form of religious values and norms (R). This research aims to create a TIGER society framework in which resources fill the layers of information technology infrastructure. Research provides examples of TIGER society resources using the framework.

Keywords
Information Technology; Resources; Society; Tourism

Topic
Computer Science

Link: https://ifory.id/abstract/C8AYwPZTdxjr

Corresponding Author
Dedy Rahman Prehanto

Institutions
Universitas Negeri Surabaya

Abstract
Determining possible technology used in calculating customer buying interest is important for the company as it relates to marketing strategies and policies. The Naïve Bayes Classifier is a possible method to measure customer buying interest. This study aims to analyze the accuracy of this method in calculating customer buying interest of internet token. Data were obtained from past sales and then analyzed using the Naïve Bayes Classifier to predict future opportunities by defining the class of attributes. The classifications used were operator, internet quota, token active period, and product price. This study found that the Naïve Bayes Classifier was provably accurate in calculating customer buying interest as well as comparing the prediction with actual results aside the data training. Results showed that this method successfully classifies 10 products of 858 transactions as data training and 10 products of 115 transactions as data test. Here indicates that all data test and data training analysis showed eight of the tenth meaning that eight of ten predictions were correct or it had 80% accuracy. This study is expected becoming a reference in analyzing data sales and predicting future sales conditions, so it will help to determine appropriate strategy of product development.

Keywords
naïve bayes classifier, internet token sales

Topic
Computer Science

Link: https://ifory.id/abstract/8wCPGngAmQvq