cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Slamet Riyadi
Contact Email
eist@umy.ac.id
Phone
-
Journal Mail Official
eist@umy.ac.id
Editorial Address
Department of Information Technology Faculty of Engineering, Universitas Muhammadiyah Yogyakarta F3 Building, 2nd Floor Brawijaya Street, Tamantirto, Kasihan, Bantul, Yogyakarta 55183 Indonesia
Location
Kab. bantul,
Daerah istimewa yogyakarta
INDONESIA
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 5 Documents
 1 
Search results for , issue "Vol 3, No 1 (2022): May" : 5 Documents clear
Intelligent Tutoring System Design Using Markov Decision Process Burhan Aji S; Dwijoko Purbohadi
Emerging Information Science and Technology Vol 3, No 1 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i1.16888

Abstract

Class learning is a teaching and learning activity involving both teachers and students. Students in the class have different levels of intelligence, divided into three categories: lowest, average, and most intelligent. Teachers usually pay less attention to less intelligent students. Consider a student who is not intelligent enough to remain in school. However, if a smart student is required to repeat content he already comprehends, he will become bored. Therefore, this study developed an intelligent tutoring system (ITS)-based learning application with a Markov decision process (MDP). The combination of ITS and MDP enabled intelligence to determine the most appropriate subsequent step by delivering tutorials and examination questions that guide students to efficiently attain intelligence levels.
Prediction of Student Decisions in Choosing the Type of Bank Using Support Vector Machine (SVM) Muhammad Habil; Slamet Riyadi
Emerging Information Science and Technology Vol 3, No 1 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i1.16889

Abstract

A bank is an intermediate financial institution authorized to take deposits, lend money, and issue promissory notes or banknotes. In the present day, every adult must have at least one bank account. Additionally, bank services range from regular and hajj savings to large-scale loans. Students, one of the bank’s customers, usually utilize services confined to savings to preserve pocket money received from their parents and ordinary transactions like transfers and payments. Several factors, including the atmosphere, administrative fees, and the accessibility of ATMs and bank branch offices, impact students’ decisions about where to save money. It prevents the bank from predicting which services must be enhanced to encourage customers, particularly students, to select the bank. Therefore, prediction is required to ascertain the students’ choice of bank. This study employed data mining and the Support Vector Machine (LibSVM) algorithm. The quantity of data impacted the outcomes of the SVM classification. In addition, kernel types, k-fold values, and sampling techniques also influenced classification accuracy. LibSVM with a kernel type of RBF, a k-fold of 8, and shuffled sampling classified 200 data with an accuracy of 68.40%.
Optimal Size And Font For Mobile Learning Alnadya Yosabranka Aura; Dwijoko Purbohadi; Aprilia Kurnianti
Emerging Information Science and Technology Vol 3, No 1 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i1.16895

Abstract

The study of fonts encompasses not only the expression of letter forms but also other aspects of readability and appearance. The necessity for additional font references for mobile learning heightens the importance of the font selection issue. Because many writers want their readers to feel comfortable and at ease when reading their work, study on this font is necessary because if the font size on a mobile phone is too large or too tiny, it becomes unpleasant. This research aims to examine the varieties of fonts that feels comfortable, appropriate, and clear for mobile learning material. This study employed a survey-based data-gathering method. Research on fonts such as Garamond, Gill Sans, Cambria, Kalibri, Constantia, Lato, and Georgia with sizes 10, 12, 14, 16, 18, 20, 22, 24, 26, and 28 and short to lengthy phrases revealed that Georgia was recommended for small and medium size fonts with sizes 10 to 22. For greater font sizes, however, Garamond was suggested with a size of 26.
Web-Based Zakat Information and Calculation System at Badan Amil Zakat Nasional (BAZNAS) of the Kendari City Using the Laravel Framework Hafizh Pratama; Aprilia Kurnianti; Asep Setiawan
Emerging Information Science and Technology Vol 3, No 1 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i1.16891

Abstract

Badan Amil Zakat Nasional (BAZNAS), or the National Amil Zakat Agency, is housed in Kendari City, particularly in the Anduonohu area. BAZNAS is a non-structural government institution independent and responsible to the Ministry of Religious Affairs. It faces several issues with data processing using Microsoft Excel, such as the difficulty of zakat data administration, the time and effort required to create reports, the slowness of search results, and the absence of a database. By developing a web-based zakat information and calculation system at BAZNAS of Kendari City with the Laravel framework, this study aims to discover solutions to issues experienced. The research framework for addressing the issues raised at BAZNAS of Kendari City included problem identification, theoretical foundation-based information searches, data collection through observation and interviews, and application development. Prototyping was utilized as a part of the system development, employing PHP, the Laravel framework and a MySQL database. Black-box testing was applied to ensure everything was working as intended. The test findings unveiled that the web-based zakat information and calculation system at BAZNAS of Kendari City functioned properly.
Effect of Mobile Learning toward the Effectiveness of Mathematics Learning for Fourth-Grade Students in the Net Generation Era Wahyu Ramdani; Dwijoko Purbohadi; Aprilia Kurnianti
Emerging Information Science and Technology Vol 3, No 1 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i1.16858

Abstract

The net generation is born simultaneously as new technologies are being developed, exposing them to those technologies from infancy. The constant coexistence with technology in their early lives imparts technological literacy to the fictional characters. Smartphones, for example, are an inseparable part of today’s children, and this generation is not only familiar with them but also proficient at utilizing them. Most children solely use their phones for media consumption. In particular, the mathematical abilities of this generation stand to benefit from the widespread adoption and proper use of smartphones. Students at all educational levels, from elementary school on up, now view mathematics as a formidable foe. There has to be a breakthrough that utilizes emerging technology, specifically mobile learning, to put an end to this terrifying phenomenon in learning mathematics. Therefore, this study was carried out to demonstrate the effectiveness of mobile learning in teaching mathematics to fourth-grade students (9-10 years old) in this net generation era. This research was conducted to provide educators and education administrators with a point of departure for creating new approaches that better reflect the traits of that generation. One of the hoped-for outcomes of this study is an improvement in individuals’ capabilities.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol. 6 No. 2 (2025) Vol. 6 No. 1 (2025) Vol. 5 No. 2 (2024): November Vol 5, No 1 (2024): May Vol 4, No 2 (2023): November Vol 4, No 1 (2023): May Vol 3, No 2 (2022): November Vol 3, No 1 (2022): May Vol 2, No 2: November 2021 Vol 2, No 1: May 2021 Vol 1, No 4: November 2020 Vol 1, No 3: August 2020 Vol 1, No 2: May 2020 Vol 1, No 1: February 2020 Vol. 1 No. 1: February 2020 More Issue