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Emerging Information Science and Technology
Published by Universitas Muhammadiyah Yogyakarta
ISSN : 27226042     EISSN : 27226050     DOI : https://doi.org/10.18196/eist
Core Subject : Science,
Computer Science & IT
Emerging Information Science and Technology is a double-blind peer-reviewed journal which publishes high quality and state-of-the-art research articles in the area of information science and technology. The articles in this journal cover from theoretical, technical, empirical, and practical research. It is also an interdisciplinary journal that interested in both works from the boundaries of subdisciplines in Information Science and Technology and from the boundaries between Information Science and Technology with other disciplines. EIST is an Open Access Journal to advance sharing science and technology. People have rights to read, download, copy, distribute, print and use with proper acknowledgment and citation. There is no publication fees for authors.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 72 Documents
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Designing a Fun English Vocabulary Card Application as a Means of Learning English Vocabulary for Elementary School Students Haris Setyawan; Radityo Anindito Arighi; Reza Giga Isnanda
Emerging Information Science and Technology Vol 1, No 3: August 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (622.81 KB) | DOI: 10.18196/eist.v1i3.13173

Abstract

English has been globally used for communication and studied by almost all countries. Therefore, understanding and being able to communicate in English is crucial. A lot of English learning is currently delivered using the lecture method, but there is no medium for learning English vocabulary in an application. This study aims to create a Fun English Vocabulary Card game to improve children’s English vocabulary. To design the learning model, the design of use case and activity diagrams was utilized. Based on the pre-test and post-test results, this game significantly increased children’s English vocabulary. The average pre-test score was 43.625, and the average post-test score was 95, which indicates that the educational game application could improve users’ knowledge and understanding of English vocabulary.
Measurement of AI3, AI4, and DS4 IT Process Maturity Using the Cobit 4.1 Framework at KOMINFO Bantul Goldi Mahardika Muhammad; Chayadi Oktomy Noto Susanto; Aprilia Kurnianti
Emerging Information Science and Technology Vol 1, No 2: May 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (363.956 KB) | DOI: 10.18196/eist.129

Abstract

This research discusses the condition of information technology at KOMINFO (DISKOMINFO) Bantul governance. This study aims to discover where has KOMINFO applied information technology governance properly. This research focuses only on IT processes. Only the AI3 IT process discussed how to generate and maintain the IT infrastructure. AI4 IT process discussed how to enable and use the IT infrastructure, and the last is the DS4 IT process that discussed how to ensure sustainable services. A questionnaire, an interview with employees of KOMINFO Bantul, and documentation were utilized to collect data. Data processing results were used to determine the maturity level of information technology governance at KOMINFO Bantul. After knowing the maturity level of the IT processes, then it was analyzed to measure the alignment between the TKTI current condition with the TKTI condition equipped with the COBIT framework.
Ajax Based Exam Engine with Tagging System to Improve Learning Asroni Asroni; Minhajuddin K. Abdurrahim; Cahya Damarjati
Emerging Information Science and Technology Vol 1, No 1: February 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (459.652 KB) | DOI: 10.18196/eist.113

Abstract

In this paper, we propose exam engine software with tagging system to help students’ study. With this tagging system, they can analyze their subject learning through exam they have done from time to time. When the students see their reports, the students will decide which subjects are low in grade and should be re-studied. We use AJAX technology to enrich the user experience of this exam engine. After we test all feature with unit testing, this exam engine is proven to runs well and do benefits for students.
Visualization of Alumni Performance Using Dashboard to Support Higher Education Decision Making Hesty Ulfatriyani; Eko Prasetyo; Aprilia Kurnianti
Emerging Information Science and Technology Vol 1, No 3: August 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (402.944 KB) | DOI: 10.18196/eist.v1i3.13174

Abstract

Universities in Indonesia create fierce competition. Alumni have an essential role for the educational institution, not only as a tool for measuring the performance quality and ability of education implementation but also as the standard or feedback to the perfection of the education system. One effective data presentation model is the dashboard system seen from the complexity, interactivity, and informative data presented. Therefore, this study aims to build a dashboard system at Universitas Muhammadiyah Yogyakarta (UMY). This study utilized the dashboard life cycle method in its implementation. This method had six stages: project initiation, design, construction, testing, launching and monitoring. This method allowed the study to show data on the number of judicium students, the number of graduates, the average GPA of the alumni, the average study period of alumni, and the number of alumni per graduation level for the 2012/2013 to 2017/2018 academic year, according to the accreditation forms and needs analysis. The dashboard system can provide information about alumni at UMY from 2012 to 2017. The dashboard system is ready to be applied as a decision-making tool, particularly as a strategy for improving the quality and empowering strategy for alumni of the university.
Android-based Dental Anatomy Learning Application Using Mayer’s Multimedia Learning Principles Deka Desilawati; Haris Setyawan; Reza Giga Isnanda
Emerging Information Science and Technology Vol 1, No 2: May 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.235 KB) | DOI: 10.18196/eist.1210

Abstract

Anatomy learning methods are still dominated by using books, in which the material is presented in pictures and writings. The anatomy learning method using books is carried out by redrawing parts and memorizing the location and its terms. Thus, students have difficulties when they forget and want to find terms on the anatomy because it is uneasy and takes a long time. This research aims to create a system to study anatomy, especially dental anatomy, through an android-based application, and provide ease of anatomy of tooth learning using Mayer’s principle of multimedia learning on application. Based on system testing and user testing results, this application can be used as a medium of information and learning about tooth anatomy. It is evidenced by black-box testing and questionnaire results. 
The Development of Game App 'Find the Object' to Improve English Vocabulary Mastery Titis Wisnu Wijaya; Reza Giga Isnanda; Bhaskara Satrya Priwadhana
Emerging Information Science and Technology Vol 1, No 4: November 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i4.16594

Abstract

English is a communication international language with more than 50 countries using it as their primary language. Therefore, understanding and ability to communicate in English is needed. During this time, the method of learning English is mostly delivered using the Teacher Centered Learning (TCL) method and there are still a few English vocabulary learning media in the form of applications used in the learning process in the classroom. The purpose of this study was to create a game called Find the Object to help students, especially the elementary school level, to learn English vocabulary to make it more interesting. There is a pre-test and post-test to conclude whether this game significantly managed to improve the mastery of English vocabulary. This needs to be proven through observing the value of the pre-test and post-test
Scholarship Acceptance Selection Using Neural Network Method Rammadhany Rammadhany; Slamet Riyadi; Asroni Asroni
Emerging Information Science and Technology Vol 1, No 4: November 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i4.16595

Abstract

Muhammadiyah University of Yogyakarta is one of the private tertiary institutions that provides scholarship programs. UMY provides scholarship programs for outstanding students and middle-lower class students. In the process of receiving a scholarship, UMY has two stages, namely registration and selection. In order to obtain a scholarship, students who register must be declared to pass administrative selection and meet the assessment component as a condition for students to be eligible for scholarships. In order to know the scholarship information received by students, data processing is needed, data processing is often referred to as data mining. This writing is done to predict prospective scholarship recipients using the Neural network algorithm. The methodology at this writing begins with searching for literature studies, choosing data mining methods, data collection, data processing, application and testing of models, results and conclusions. The data used at this writing are 2019 general scholarship data, GPA data, and organizational active information data. The attributes used are parental income, GPA, scholarships, qualification and non-qualification, and active organizational information. The caption attribute qualification and non-qualification is used as a label. At this writing the authors get an accuracy of 72.62%..
Advanced Development of a Prayer Schedule Bot Application on Telegram Using PHP Sofran Bahrurozi; Asroni Asroni; Cahya Damarjati
Emerging Information Science and Technology Vol 1, No 4: November 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i4.16596

Abstract

A bot is a web robot or an assistant with computer intelligence. The usefulness of a bot is very much starting from the web, messenger, and others. One application possessing a provider to make a bot is a Telegram. The development of technology, such as social media applications, has made them prevalent for the public, including most Muslims. Sometimes, people will be negligent in worshiping when using the application. Therefore, creating a prayer schedule bot is necessary to prevent people from doing so. A framework creation aimed to facilitate the stages of making a bot using a PHP programming language. The bot-making results could be utilized in various countries with the calculation method found in a bot, providing a preference for users. Telegram bot is preferred for smartphone users wanting storage efficiency and having an internet connection. In contrast, the conventional prayer scheduler application does not care much about the storage taken and does not have an internet connection.
Integration and Geographic Visualization of TKA-TPA Data Using Mapbox Bhaskoro Wicaksono; Asroni Asroni; Asep Setiawan
Emerging Information Science and Technology Vol 1, No 4: November 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i4.16597

Abstract

TKA-TPA data management is performed conventionally and inaccurately. Accordingly, it may result in considerable data loss. Data collection for TKA-TPA by BADKO Kasihan Bantul Yogyakarta is still carried out conventionally. Therefore, this study supports BADKO TKA-TPA in data management, data reporting, data mapping, and data publication. A Web Geographic Information System (GIS) was created using the CodeIgniter framework with the Hypertext Preprocessor (PHP) programming language, MapBox on the Maps API Service, MySQL database, and the SDLC with the prototype method. The study result is a web-based GIS application. This GIS application has been successfully built and can be used by BADKO TKA-TPA Kasihan Bantul Yogyakarta for its data management and mapping system.
Prediction of Student Study Period Based on Admission Pathways Using Support Vector Machine Algorithm Cut Maya Putri Audilla; Slamet Riyadi; Asroni Asroni
Emerging Information Science and Technology Vol 1, No 4: November 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i4.16598

Abstract

In Indonesia, the quality of a university is measured based on the accreditation by BAN-PT (National Accreditation Board for Higher Education). BAN-PT possesses several main standards in measuring the quality of a university, one of which is students and graduates. The accuracy of the student study period is a crucial issue because it is the basis for the effectiveness of a university. Prediction is a process of systematically estimating something most likely to happen in the future based on past and present information to minimize the error (difference between something that happens and the forecast results). One technique used to make predictions is data mining. Universitas Muhammadiyah Yogyakarta (UMY), as one of the best private universities in Indonesia, must maintain the quality of its students. Student admission at UMY is an internal selection carried out through several methods: student achievement and academic ability tests. The Support Vector Machine (SVM) method is part of the prediction method. Analysis of the SVM prediction utilized the historical data from alumni of the Faculty of Law of UMY in the graduation year of 2015-2019. The application of SVM has provided better accuracy, precision, and recall results. The best kernel accuracy level was the SVM RBF kernel with an optimum C value of 10 and a gamma value of 0.4 with an accuracy of 96.00%.

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