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IJID (International Journal on Informatics for Development)
Published by Universitas Islam Negeri Sunan Kalijaga Yogyakarta
ISSN : 22527834     EISSN : 25497448     DOI : -
Core Subject : Science,
Computer Science & IT
One important point in the accreditation of higher education study programs is the availability of a journal that holds the results of research of many investigators. Since the year 2012, Informatics Department has English language. Journal called IJID International Journal on Informatics for Development. IJID Issues accommodate a variety of issues, the latest from the world of science and technology. One of the requirements of a quality journal if the journal is said to focus on one area of science and sustainability of IJID. We accept the scientific literature from the readers. And hopefully these journals can be useful for the development of IT in the world. Informatics Department Faculty of Science and Technology State Islamic University Sunan Kalijaga.
Arjuna Subject : -
Articles 217 Documents
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Satisfaction Level from Digital Learning Implementation Using E-Learning Management System (LMS) UP45 at University of Proklamasi 45 Prayogo, Agung; Hartiyani, Selvy Dwi; Hartiyani, Erlinawaty; Dewi, Puti Adam
IJID (International Journal on Informatics for Development) Vol. 10 No. 2 (2021): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2021.3396

Abstract

Learning process in campus has undergone several fundamental changes since the COVID-19 pandemic. The face-to-face lectures cannot be fully implemented due to the increasing number of COVID-19 cases. The education sector continues to make some improvisation in learning methods. This study aims to measure the level of operational feasibility of a Moodle-based Learning Management System at University of Proklamasi 45 Yogyakarta. This study used Taro Yamane Formula as the sampling method. There are 1517 total students in the population with a minimum sample of 94 (error margin of 10%) requirement (actual sample = 120). The data were obtained from the dissemination of questionnaires, using linked scales processed using SPSS software. The respondents are the students, lecturers and academic staffs as the person in charge of the e-learning platform UP45. This method resulted in a decision on the use of e-learning along with the operational feasibility of the online learning system implemented at University of Proklamasi 45 Yogyakarta. The general conclusion of this study is that the operational feasibility of E-Learning UP45 Yogyakarta, can be used as a digital learning solution during the Covid-19 pandemic. The valid percentage that supports the implementation and maintenance of an online learning LMS-based is 72.5%.
Accessibility Analysis of Learning Management System Websites Dwi Fithriyaningrum; Kusumawardani, Sri Suning; Wibirama, Sunu
IJID (International Journal on Informatics for Development) Vol. 11 No. 1 (2022): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3485

Abstract

In the digital era, Learning Management System is widely used to spread information in higher education, particularly at the university level. There are, however, issues with the Learning Management System's accessibility for users with disabilities. This research aims to investigate the accessibility issues of learning management websites of 30 universities in Indonesia. The top 30 universities in Indonesia according to Webometrics 2022 are the basis for this study. Accessibility issues will be identified and examined using the Wave evaluation tool which is in accordance with the Web Content Accessibility Guidelines 2.1 used by ISO 40500. Web Content Accessibility Guideline 2.1 has principles that any web should follow: Perceivable, Operable, Understandable, and Robust. Based on the research findings, The low contrast ratio between text and background, the absence of text explanations in the images, the lack of descriptive text on the links, the absence of text labels on the form, and the absence of text description on the button were the most frequently encountered accessibility issues.
Application of Digital Entrepreneurship Education in the Digital Library Marketing Course Siti Rohaya; F. Trisakti Haryadi; Alia Bihrajihant Raya
IJID (International Journal on Informatics for Development) Vol. 11 No. 1 (2022): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3653

Abstract

Entrepreneurship education in universities plays a significant role in creating an entrepreneurial spirit in students. We explore the application of digital entrepreneurship education contained in the Digital Library Marketing course. This research is qualitative research with a case study. Data collection was conducted through in-depth semi-structured interviews with thirteen informants. The data are photos or videos of activities during the research, and videotape recordings. The data display the output of Digital Library Marketing lectures which shows how theories following research and observation of digital media interfaces are used as promotional and marketing media. The results showed that digital entrepreneurship education applied to the Digital Library Marketing course has an important influence on students to design a professional weblog as a medium of information, to create content writing about how to fill a weblog that can sell the products offered, and to do good copywriting, also to find ideas for delivery and promotion. Besides being applied to the Digital Library Marketing course, digital entrepreneurship education is also held in digital marketing workshops to provide prospective alums. This study is helpful for entrepreneurship education literature in libraries and information that intersects with digital technology as a medium for entrepreneurship.
Data Search Process Optimization using Brute Force and Genetic Algorithm Hybrid Method Riwanto, Yudha; Nuruzzaman, Muhammad Taufiq; Uyun, Shofwatul; Sugiantoro, Bambang
IJID (International Journal on Informatics for Development) Vol. 11 No. 2 (2022): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3743

Abstract

High accuracy and speed in data search, which are aims at finding the best solution to a problem, are essential. This study examines the brute force method, genetic algorithm, and two proposed algorithms which are the development of the brute force algorithm and genetic algorithm, namely Multiple Crossover Genetic, and Genetics with increments values. Brute force is a method with a direct approach to solving a problem based on the formulation of the problem and the definition of the concepts involved. A genetic algorithm is a search algorithm that uses genetic evolution that occurs in living things as its basis. This research selected the case of determining the pin series by looking for a match between the target and the search result. To test the suitability of the method, 100-time tests were conducted for each algorithm. The results of this study indicated that brute force has the highest average generation rate of 737146.3469 and an average time of 1960.4296, and the latter algorithm gets the best score with an average generation rate of 36.78 and an average time of 0.0642.
Forecasting: Analyze Online and Offline Learning Mode with Machine Learning Algorithms Ardiani, Farida; Rodhiyah Mardhiyyah; Syahalam, Izaaz Azaam; Nasmah Nur Amiroh
IJID (International Journal on Informatics for Development) Vol. 11 No. 2 (2022): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3733

Abstract

Since the pandemic occurred, in March 2020, learning activities have changed from an offline to an online learning mode. This is the first time, such a huge change has occurred, simultaneously in the entire hemisphere. This learning mode opens a new discourse regarding the impact on the learning mode and educational evaluation results. The author aims to compare the results of the educational evaluation of the online learning mode during the pandemic with offline learning mode, so that differences will be known, as well as can be used to predict student learning outcomes, in order to obtain an overview of the effectiveness and efficiency of a learning mode. Data collection is carried out as an initial step in data processing, based on the final results of student learning, in certain courses taken every semester starting in 2017-2022. The data consists of 6 indicators, namely CI1-CI4, grades, and letter grades. The result of this study is the prediction of a more effective learning mode used, as decision support carried out by the forecasting method, comparing the Naïve Bayes and Decision Tree algorithm in getting the best accuracy value, by analyzing the learning mode offline to online.
Real-time Smartphone Usage Surveillance System Based on YOLOv5 Sejati, Rr. Hajar Puji; Mardhiyyah, Rodhiyah; Zulkhairi, Zulkhairi; Istiqomah, Nur; Prasetya, R. Imam Budi
IJID (International Journal on Informatics for Development) Vol. 11 No. 2 (2022): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3766

Abstract

The digital era affects students' attitudes toward utilizing applications as learning media. This phenomenon can be used to boost student achievement, but it can also have negative consequences, such as chatting while studying or cheating on school exams. To support the positive and reduce the negative impact of smartphone use, it is necessary to supervise this activity. The supervision can be done by utilizing a camera to detect a smartphone. The YOLOv5 algorithm was used, which is known for its good speed and accuracy in object detection. This smartphone detection system can be controlled, so the application is adjustable to the needs of learning activities. Collecting a dataset, annotating, training objects, writing program code, and testing the system are all stages in the development of this system. The dataset used in this research consists of 1,038 smartphone images from the internet and camera-captured images. This detection system was built to assist teachers in monitoring the use of smartphones by students. The results of this model training are 77.7% mean average precision, 93.2% precision rate, and 71.7% recall rate under varying lighting conditions.
Classifying High School Scholarship Recipients Using the K-Nearest Neighbor Algorithm Yulisa, Ica Dwi; Gusmelia Testiana; Imamulhakim Syahid Putra
IJID (International Journal on Informatics for Development) Vol. 11 No. 2 (2022): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3804

Abstract

  YBM PLN UIWS2JB provides scholarships for high school students who cannot afford school tuition due to poverty or other economic conditions. Since the target is specific, the foundation must carefully select the recipients to ensure the scholarship is granted to those who deserve it. The predetermined criteria combined with the limited quota available become a difficulty in itself as a large number of applications are coming in. Data mining with a classification method using the K-Nearest Neighbor algorithm is believed to be one of the alternative solutions to solve this problem. This study aims to examine how this method could help in the selection process to determine who is eligible to receive the scholarship, and it also aims to evaluate the algorithm's performance with the optimal K value. The findings of this research showed that the classification method using K-Nearest Neighbor is the potential to be applied in a case such as this. The results found an accuracy of 91% in the selection process and are included in the Excellent Classification category. The optimal K value obtained is K = 5.
Comparison of K-Nearest Neighbor, Support Vector Machine, Random Forest, and C 4.5 Algorithms on Indoor Positioning System Astari, M Rizky; Nuruzzaman, Muhammad Taufiq; Sugiantoro, Bambang
IJID (International Journal on Informatics for Development) Vol. 12 No. 1 (2023): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.3991

Abstract

Today’s most common Positioning System applied is the Global Positioning System (GPS). Positioning System is considered accurate when outdoors, but it becomes a problem when indoors making it difficult to read the GPS signal. Many academics are actively working on indoor positioning solutions to address GPS's drawbacks. Because WiFi Access Point signals are frequently employed in multiple studies, they are used as research material. This study compares the classification algorithms KNN, SVM, Random Forest, and C 4.5 to see which algorithm provides more accurate calculations. The fingerprinting method was employed in the process of collecting signal strength data in each room of the Terpadu Laboratory Building at UIN Sunan Kalijaga using 30 rooms and a total dataset of 5,977 data. The data is utilized to run experiments to determine the location using various methods. According to the experimental data, the Random Forest algorithm achieves an accuracy rate of 83%, C4.5 81%, and KNN 80%, while the SVM method achieves the lowest accuracy rate of 57%.
Evaluation of the Maturity Level of Information Technology Security Systems Using KAMI Index Version 4.2 (Case Study: Islamic Boarding Schools in Yogyakarta Special Region Province) Arromdoni, Bad’ul Hilmi; Nuruzzaman, Muhammad Taufiq; 'Uyun, Shofwatul; Sugiantoro, Bambang
IJID (International Journal on Informatics for Development) Vol. 12 No. 1 (2023): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.3987

Abstract

The development of information technology worldwide has changed very rapidly. There has been a data theft on the information system belonging to one of the most prominent Islamic Boarding Schools in the Yogyakarta area. Thus, special attention is needed to evaluate information technology security using the Information Security Index version 4.2. The research methods include extracting information, literature study, data collection, data validation, data analysis, and recommendations. The evaluation results are at the basic framework fulfilment level with a value of 343; the electronic system category has a low status with a value of 15 and 5 improvements; the governance category,  the risk management category,  the framework category,  the asset management category, and the information security technology category, have a maturity level II status with 12, five, eight, four, and eight recommendations respectively, while the supplement category for third party security areas with a value of 60%, securing cloud infrastructure services 56% and protecting personal data 61% with 14 recommendations.
Evaluation of IT Governance at Islamic Boarding Schools in the Special Region of Yogyakarta based on the COBIT 5 Framework Mardlian, M. Sa’id Abdurrohman Kunta; Nuruzzaman, Muhammad Taufiq; 'Uyun, Shofwatul; Sugiantoro, Bambang
IJID (International Journal on Informatics for Development) Vol. 11 No. 2 (2022): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3988

Abstract

Nowdays,  almost all aspects of company operations are supported by information technology systems.  Many pesantren have utilized information technology in supporting operational activities such as: using computers, accessing the internet, having a website, and managing information technology systems. The purpose of this study is to implement the COBIT 5 framework in the DSS (Deliver, Service, Support) domain in evaluating information technology governance and calculate the capability level value and gap analysis at Islamic Boarding Schools. The results of the Capability Level Analysis in the COBIT 5 DSS Domain obtained from 42 Islamic Boarding Schools showed that DSS01, DSS02, and DSS03 on average were at level 2, DSS04, DSS05, DSS06 on average at level 1. The results of the Gap Analysis in the COBIT 5 DSS Domain show that in DSS01, DSS02, and DSS03 the average GAP is 3, in DSS04, DSS05, and DSS06 the average GAP is 4. The result shows that Information Technology Governance in Islamic Boarding Schools in the Special Region of Yogyakarta based on an assessment with the COBIT 5 Framework is still low status and needs to be improved, as evidenced by the low Capability Level Value and the high GAP Value.

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