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Emerging Information Science and Technology

eist
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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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The Development of Serious Game to Teach the Concept of Dunya and Akhirah to Young Muslims Haris Setyawan; Reza Giga Isnanda; Elvan Diano; Muhammad Fadlun Subarkah
Emerging Information Science and Technology Vol 1, No 1: February 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Nowadays, young Muslims are so busy with their needs in Dunya (this World) that they overlook the importance of preparing for life in Akhirah (the Hereafter). Afterall, one of the teaching in Islam is to prioritize the Akhirah than the Dunya. Because of the lack of awareness, many young Muslims neglect their religious duties such as Sholat or reciting al-Qur’an. To help introduce, teach, and remind them the concept of balancing life in Dunya and Akhirah, a solution that can pique their interest is a necessity. Therefore, this paper explain the development process of serious game to teach the concept of Dunya and Akhirah. The game implements the main mission and hidden mission that resemble Dunya and Akhirah responsibility respectively. The game’s effectivity was then evaluated with pre-test and post-test method. The result suggested that the game can increase the player’s knowledge in Dua and awareness in Dunya and Akhirah. This shows the potential of the game as learning media.

Implementation of Multiclass Support Vector Machine for Classification of New Students Receiving Achievement Scholarships at Universitas Muhammadiyah Yogyakarta Nurfahmi Nurfahmi; Slamet Riyadi; Asroni Asroni
Emerging Information Science and Technology Vol 1, No 3: August 2020
Publisher : Universitas Muhammadiyah Yogyakarta

The selection process for scholarship grantees at Universitas Muhammadiyah Yogyakarta (UMY) still utilizes the conventional method, namely Microsoft Excel. It is conducted by inputting all student data, then sorted from the highest to the lowest. Scholarships for prospective new students must be right on the target, meaning that they meet the criteria for students eligible for scholarships. It is intended not to harm other prospective students who should get scholarships. In previous studies, the classification process used many algorithms such as Naive Bayes, C.45, Decision Tree, k-Nearest Neighbor, and Support Vector Machine. The use of the Support Vector Machine algorithm employed a two-class classification. Support Vector Machine and Decision Tree algorithms are two classification methods that can obtain precise and accurate results. This study aims to use the Multiclass Support Vector Machine (LibSVM) algorithm to classify the achievement scholarship rankings for new students. The minimum amount of data used affected the classification results. From the 2015 to 2019 data, the highest amount of data was 2015, obtaining the highest accuracy result of 84.34% using the sigmoid kernel type and the k-fold value of 3. The classification was based on the entry system stages. PMDK stage 2 obtained an accuracy of 81.38%, with the most data amounting to 268 from stage 3.

The Development of Find The Object Game Application as The Media of English Vocabulary Learning for Second and Third Grades of Elementary School Haris Setyawan; Bhaskara Satrya Priwandhana; Reza Giga Isnanda
Emerging Information Science and Technology Vol 1, No 2: May 2020
Publisher : Universitas Muhammadiyah Yogyakarta

English is the language of international communication, which is why most countries in the world learn it. Therefore, we need to understand and be capable of communicating in English. Today’s English learning is mostly delivered by a lecture method. Moreover, there is no English vocabulary learning media in the form of application. Therefore, this research aims to develop a game application called “Find the Object” to help elementary school students learn English vocabulary by making the learning process more fun and interesting. The pre-test, post-test, and poll results revealed that this game significantly succeeded in increasing the English vocabulary of elementary school students. It was proven through the values of tests tending to increase after playing this game, and students felt more interested in learning English vocabulary.

Performance Benchmark in Febrile Mass Screening Detection Siti Sofiah; Kamarul Hawari; Sabira Khatun
Emerging Information Science and Technology Vol 1, No 1: February 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Recently, detecting and tracking people using infrared sensors in public surveillance has been given attention by many researchers since the global outbreak of severe acute respiratory syndrome, and machine vision is bound to play an important role. In machine vision, sliding window approach has appeared as most promising approach. Since Papageorgious et al who proposed the first sliding window detetectors until Dalal et al who have come out with a large gains detector based on histogram adoption, the ideas of sliding in human detections continue to serve as a root for modern detectors. While there is increasing research in thermal spectrum, very little research focus on the effectiveness of state of art detectors in febrile mass screening application. The exposed area of head-to-shoulder is an important body part for region of interest detection priorly before the temperature of febrile person is measured by the thermal camera. In addition, some of the thermal datasets used in previous research are more fit to surveillance or safety applications where the targets are mostly far-scales. One of the challenges in detecting the pedestrian in thermal images is the nature and quality of image in infrared spectrum as well as the real crowd situation in public area that cause occlusion. Therefore in this paper, we are interested to evaluate the top three detectors’ performance on thermal images taken during fever screening in Kuala Lumpur International Airport. We also analyze the best approach to be adopted in the detection using a new context of training and evaluation.

Designing a Payroll System Database for Staff of the Informatics Engineering Department of Universitas Muhammadiyah Yogyakarta Nisrina Akbar Rizky Putri; Slamet Riyadi; Aprilia Kurnianti
Emerging Information Science and Technology Vol 1, No 3: August 2020
Publisher : Universitas Muhammadiyah Yogyakarta

The development of a staff payroll system aims to create a system that can help an administrator recapitulate attendance and payroll data of Informatics Engineering (IE) Department staff quickly and accurately. Such a development requires a database. The database design is divided into four stages: requirement collection and analysis, conceptual database design, logical database design, and physical database design. Design testing was performed on the database by testing the access policies, anomaly check, and view check. The results reveal that the proposed system worked well did not encounter anomalies.

Applying the Naive Bayes Algorithm to Predict the Student Final Grade Ronald Adrian; Muhammad Aldi Joko Satria Perdana; Asroni Asroni; Slamet Riyadi
Emerging Information Science and Technology Vol 1, No 2: May 2020
Publisher : Universitas Muhammadiyah Yogyakarta

The teaching and learning process of the Faculty of Engineering of Universitas Muhammadiyah Yogyakarta has used e-learning intensively. One of the benchmarks in determining students’ final grade is to take the values in e-learning. This study aims to predict students’ final grades by utilizing the data mining process and the Naive Bayes algorithm. This study provides students and lecturers information to enhance the teaching and learning process to improve students’ final grades and maintain satisfactory final grades until the lecture is complete. The research began with the literature study, data collection, data selection, data cleaning, data transformation and implementation with rapidminer and conclusion drawing. Based on the prediction of students’ final grades, one course obtained many unsatisfactory grades with an accuracy rate of 93.75%. Thus, the higher the accuracy value, the closer the predicted final value to the actual value.

The Development of 3D Survival Simulation Game for Identifying Safe Food and Water in Borneo Forest Yuda Fatah Kurniawan; Reza Giga Isnanda; Asroni Asroni
Emerging Information Science and Technology Vol 1, No 1: February 2020
Publisher : Universitas Muhammadiyah Yogyakarta

For adventures who like to explore the forest with diverse type of flora, such as Borneo forest, being lost and have limited supply of food and water become one of the biggest threats for survival. Therefore, it is important to know how to identify food and water that is safe for consumption. Unfortunately, the learning media for survival skills are still heavy on verbal approach, so there is a need for a more practical and visual learning media. To overcome the problem, this research was aimed to develop a survival simulation game that teach the player how to identify safe food and water in Borneo forest. The game was developed in six steps based on Luther’s steps of authoring multimedia. At the end of the development process, the feasibility of the game as learning media is tested using pre-test and post-test method. Statistical analysis using paired t-test showed that the post-test result (M=77.33, SD=5.37) was significantly higher than the pre-test result (M=56.67, SD=8.24) ); t(29)=18.49, p 0.001. This indicates that the game is feasible in teaching the knowledge to the player. In the future, this game can be an alternative and practical solution for teaching survival skill.

The Implementation of Clustering Method With K-Means Algorithm In Grouping Data of Students’ Course Scores at Universitas Muhammadiyah Yogyakarta Asroni Asroni; Dita Kurniasari; Aprilia Kurnianti
Emerging Information Science and Technology Vol 1, No 3: August 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Student grades can be a reference. A large number of student grade data in a university causes data accumulation; thus, data are grouped with data mining. This study aims to classify student grade data in the second semester. Grouping student grade data was performed using the clustering method with the K-means algorithm. The research data were derived from the database of Universitas Muhammadiyah Yogyakarta. The data were students’ grades in the academic years of 2010/2011, 2011/2012, 2012/2013, 2013/2014, and 2014/2015. The analysis process was carried out using WEKA software, SQL Server 2014 Management Studio and Microsoft Excel. The clustering method could be applied to group student grade data. Clustering with K-means formed three clusters, with cluster 0 comprising 72 students, cluster 1 consisting of 190 students, and cluster 2 totaling 133 students. A cluster with the lowest average score could be used as a consideration in updating the learning methods to optimize students’ score acquisition.

Security Assessment Using Nessus Tool to Determine Security Gaps on the Repository Web Application in Educational Institutions Chayadi Oktomy Noto Susanto; Kauka Noor Fathur Rizko; Dwijoko Purbohadi
Emerging Information Science and Technology Vol 1, No 2: May 2020
Publisher : Universitas Muhammadiyah Yogyakarta

This research aims to determine security holes and risks that may arise in the educational institution’s repository web application. The repository web application contains research data, journals, articles, and papers from lecturers and students at the institution. This web application does not yet have documentation about security holes and risks in it. It causes a sense of concern on the part of educational institutions. Therefore, it is necessary to have a security assessment to conduct a risk-oriented assessment that might occur if an attack is attempted. The Vulnerability Assessment and Penetration Testing (VAPT) method was utilized to conduct a security assessment and test educational institutions’ repository web application. Several vulnerabilities found with the Nessus tool could still be exploited and resulted in findings in legal access rights when the researchers performed a test simulation on the repository web application. This research was used as a report to the educational institution, particularly as a material for the evaluation process to increase its web application security. This research was carried out within the educational institution environment. Hence, it did not fully describe the possibility of actual attacks originating from outside the educational institution environment.

Classification of Mangosteen Surface Quality Using Principal Component Analysis Slamet Riyadi; Amelia Mutiara Ayu Ratiwi; Cahya Damarjati; Tony K. Hariadi; Indira Prabasari; Nafi Ananda Utama
Emerging Information Science and Technology Vol 1, No 1: February 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Mangosteen (Garcinia mangostana L) is one of the primary contributor for Indonesia export. For export commodity, the fruit should comply the quality requirement including its surface. Presently, the surface is evaluated by human visual to classify between defect and non- defect surface. This conventional method is less accurate and takes time, especially in high volume harvest. In order to overcome this problem, this research proposed images processing based classification method using principal component analysis (PCA). The method involved pre-processing task, PCA decomposition, and statistical features extraction and classification task using linear discriminant analysis. The method has been tested on 120 images by applying 4-fold cross validation method and achieve classification accuracy of 96.67%, 90.00%, 90.00% and 100.00% for fold-1, fold-2, fold-3 and fold-4, respectively. In conclusion, the proposed method succeeded to classify between defect and non-defect mangosteen surface with 94.16% accuracy.

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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

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

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