Edumatic: Jurnal Pendidikan Informatika

Journal Information
EISSN : 2549-7472
Published by: Universitas Hamzanwadi (10.29408)
Total articles ≅ 114

Latest articles in this journal

Marsinah Dewi Feiyska Nasution, Universitas Negeri Padang Program Studi Magister Pendidikan Teknologi Dan Kejuruan, Muhammad Giatman, Ernawati Nazar
Edumatic: Jurnal Pendidikan Informatika, Volume 5, pp 196-203;

Sistem informasi yang semakin berkembang secara signifikan membuat masyarakat semakin mudah untuk memperoleh atau memproses informasi. Hal tersebut juga menjadi solusi bagi beberapa permasalahan dalam berbagai bidang, termasuk bidang wirausaha, yaitu dengan pembuatan sebuah aplikasi. Metode penelitian ini dilakukan dengan cara sistematik untuk memperoleh alur kerja yang baik dan dapat digunakan sebagai pedoman untuk melaksanakan penelitian bagi peneliti agar hasil yang didapatkan sesuai dengan keinginan serta tujuan yang diharapkan bisa terimplementasi dengan baik serta sama dengan apa yang direncanakan sebelumnya. Penelitian ini menghasilkan sebuah aplikasi berbasis web dinamis dengan menggunakan bahasa pemrograman PHP, osCommerce Content Management System (CMS), dan database MySQL. Aplikasi ini dapat menjadi solusi dari permasalahan metode wirausaha konvensional serta dapat membuat mahasiswa menjadi lebih tertarik dalam praktik berwirausaha.
Mashur Mashur, Universitas Gunung Rinjani Program Studi Pendidikan Bahasa Inggris, Taufan Iswandi, Lalu Nurul Yaqin
Edumatic: Jurnal Pendidikan Informatika, Volume 5, pp 278-287;

The trend of information and communication technology (ICT) in education has become something that is very much needed for the development of education and learning in Indonesia. The integration of ICT in the learning process in Islamic boarding schools is still not optimal. Therefore, this study aims to determine the factors that influence ICT integration in the learning process in Islamic boarding schools in the East Lombok. The method used in this study is a qualitative method using several case studies. The data sources on the research were 32 Islamic Boarding School in east Lombok. While the technique of collecting data used survey, interview, and focus group discussion The results of this study revealed two main themes, barriers and support. Barriers are classified into two groups: teacher factors and institutional support factors (Islamic Boarding school). Teachers include lack of time, lack of qualified human resources and the complexity of ICT integration. At the same time, the factors are limited infrastructure, lack of training, lack of access, and lack of technical support. The use of ICT can increase students' creativity. As for the carrying capacity that they believe ICT use during teaching practice can improve their performance, leadership support is also a key factor determining the integration of ICT during the learning process.
Loemongga Oktaria Sihombing, Universitas Singaperbangsa Karawang Program Studi Teknik Informatika, Hannie Hannie, Budi Arif Dermawan
Edumatic: Jurnal Pendidikan Informatika, Volume 5, pp 233-242;

Gaining customer satisfaction and trust has become the main challenge in achieving success in the business world. Business people need to identify problems that arise from reviews given by customers. However, reading and classifying each review takes a long time and is considered ineffective. To overcome this, this study aims to analyze the customer sentiment of shopee products using the nave Bayes classifier algorithm. The data used in this study is a customer review of the Xiaomi Redmi Note 9 products which are sold on the Shopee Indonesia website. Customer review data is collected by applying the Web Scraping technique. The algorithm used in this study is the Naïve Bayes Classifier which is known to be popular and effective in classifying data. This study also applies the Knowledge Discovery in Text (KDT) methodology to extract information from text data. The results of the classification using the Naïve Bayes algorithm found an accuracy value of 85%. This study proves that by applying sentiment analysis techniques, business people are able to find out the opinions of customers as an evaluation material that needs to be done to optimize the products and services provided.
Mursyid Ardiansyah, Universitas Amikom Yogyakarta Program Studi Teknik Informatika, Andi Sunyoto, Emha Taufiq Luthfi
Edumatic: Jurnal Pendidikan Informatika, Volume 5, pp 147-156;

Diabetes is a metabolic disease in which blood sugar rises high. If blood sugar is not controlled properly, it can cause a variety of critical diseases, one of which is diabetes. The purpose of this study was to find out the results of comparing the performance values of Naïve Bayes and C4.5 algorithms with 7 different scenarios in the classification of diabetes that will be tested for accuracy, precision, and recall performance. The method used in this study is descriptive, and the source of skunder data obtained from the data of diabetic patients available on Kaggle with the format .csv issued by Ishan Dutta as many as 520 data and 17 fields. The tool used for data analysis is Rapidminer for the process of classification and performance testing of Naïve Bayes algorithm and C4.5 Algorithm. Our results showed that the C4.5 algorithm (scenario 4) had good results in the classification of diabetes compared to Naïve Bayes' algorithm (scenario 2) where the performance of the C4.5 algorithm had an accuracy of 99.03%, precision 100%, and recall 98.18%.
, Arifin Noor Asyikin, Rahimatus Sania, Subandi Subandi
Edumatic: Jurnal Pendidikan Informatika, Volume 5, pp 137-146;

Along with the spread of the COVID-19 virus which has an impact on new student admissions at various universities in Indonesia. This impact was also felt at the Politeknik Negeri Banjarmasin (POLIBAN) with the decline in the number of registrants and the public's interest in continuing higher education. So, we need a promotion that is not monotonous and must be innovative. Various kinds of technology have been created to support and facilitate all activities in various fields, one of which is in the field of promotional media. Promotion is very important for a university to offer or show the facilities and infrastructure contained in the university and show its quality. The purpose of this study is to implement mobile augmented reality technology as a POLIBAN promotional media solution and evaluate the user experience of the application. The research method used is the Extreme Programming (XP) development method and a technique for evaluating user experience using the User Experience Questionnaire (UEQ). The results of the research conducted based on the results of the implementation stated that functionally all the features offered by the application can function properly and the results of the evaluation of user experience as a non-functional assessment of 50 respondents with an average value of 2.87 with an excellent predicate.
Susanti H. Hasan, Akademi Ilmu Komputer Ternate Program Studi Teknik Komputer, Laroma Larumbia
Edumatic: Jurnal Pendidikan Informatika, Volume 5, pp 271-277;

The Covid-19 emergency period requires the implementation of online learning, which was previously carried out offline. This condition causes engineering physics lectures to experience problems in the practical process. For this reason, the purpose of this research is to make learning media that is feasible and simple and easily accessible (YouTube) in the form of video tutorials on engineering physics practicum. The method used is R&D with ADDIE model consisting of Analysis, Design, Development, Implementation and Evaluate stages. Data collection techniques using Likert scale questionnaires and analyzed using quantitative descriptive techniques. The results showed that the practicum learning this product video tutorials was declared very-suitable (VS) for use by media experts with a percentage of 92.5% and according to material experts, it was stated to be very-feasible (VF) with a percentage of 85%, and the results of user responses were stated to be VF with a percentage of 86.20%. So that online practicum applies this media is very suitable to be implemented as a physic learning media.
Ayu Shafira Tubagus, Universitas Singaperbangsa Karawang Proram Studi Teknik Informatika, Rizal Saepul Mahdi, Adhi Rizal, Aries Suharso
Edumatic: Jurnal Pendidikan Informatika, Volume 5, pp 187-195;

Video applications consume more energy on the Internet and can be accessed by electronic devices, due to an increase in the consumption of high-resolution and high-quality video content, presenting serious issues to delivery infrastructure that needs higher video compression technologies. The focus of this paper is to evaluate the quality of the most current codec, AV1, to its predecessor codec. The comparison was made experimentally at two video resolutions (1080p and 720p) by sampling video frames with various CRF/CQP values and testing several parameters analyses such as encoding duration, compression ratio, bit rate, Mean Square Error (MSE), and Peak Signal to Noise Ratio (PSNR). The AV1 codec is very great in terms of quality and file size, even though it is slower in terms of compression speed. The H.265/HEVC codec, on the other side, beats the other codec in terms of compression ratio. In conclusion, the H.265/HEVC codec is suggested as a material for obtaining a well compressed video with small file size and a short time.
Mochammad Ichsan, Universitas Muhammadiyah Gresik Program Studi Teknik Informatika, Putri Aisyiyah Rakhma Devi
Edumatic: Jurnal Pendidikan Informatika, Volume 5, pp 335-343;

The selection of outstanding students is an appreciation given by the boarding school to the students who have the highest scores. However, the election is usually still done subjectively and manually, and there is no support system in creating decisions, which make the selection process long and inaccurate. This study aims to implement a decision support system in determining outstanding students at Mamba'ussholihin Islamic Boarding School predetermined with criteria. The process of selecting uses the method Analytical Hierarchy Process (AHP) for weighting criteria and Operational Competitiveness Rating Analysis (OCRA) for ranking. The OCRA value obtained is in the form of Pi, which is ranked to get the best students. The findings show that the error consistency level is less than 10% and the consistency index value is accepted, so that it can be used as an initial weight with a relative number = 1. After calculating the OCRA method from the initial 75 alternative data, the top 10 alternative data obtained are in the form of the value of Pi will be entitled to an award as an outstanding student, so by applying these two methods it can speed up the results of the decision, it does not take a long time and the results obtained are also precise.
Ardhi Fadlika Satria, Universitas Singaperbangsa Karawang Program Studi Teknik Informatika, Riza Ibnu Adam, Carudin Carudin
Edumatic: Jurnal Pendidikan Informatika, Volume 5, pp 204-213;

The use of digital platforms has both positive and negative effects. Many criminals who manipulate images for personal gain, so as to harm the copyright holder (ownership) of the image. The purpose of the study was to detect false imagery generated by copy-move, splicing, and retouching techniques. The method used is the Least Significant Bit (LSB) method as a watermarking technique and its detection features. The insertion process is carried out on watermark images into the cover image as the container media. Image owners can authenticate to prove the originality of the image when the extraction process is done, the image manipulation is successfully detected because it is damaged. The test results showed that the digital watermarking technique with the Least Significant-Bit method is able to protect and prove the authenticity of the image. It was concluded that the results of comparison of watermark extraction on the original image and manipulation image saw a very significant difference in terms of visual and calculation with MSE, RMSE, and PSNR parameters.
Ariyan Zubaidi, Universitas Mataram Program Studi Teknik Informatika, Rhomy Idris Sardi, Andy Hidayat Jatmika
Edumatic: Jurnal Pendidikan Informatika, Volume 5, pp 252-260;

Data confidentiality and resource's limitation issues are challenges for the Internet of Things. To implement good security on IoT systems, cryptography can do it, but it needs an effective encryption algorithm that does not require a lot of resources. The purpose of this study is to secure an IoT system by implementing an algorithm that is successful in maintaining the confidentiality of data transmitted. This research uses an experimental approach, by creating an IoT system for agriculture and adding an encryption algorithm. The IoT system uses NodeMCU as a microcontroller. NodeMCU is a microcontroller with small resources so it needs an efficient algorithm to be implemented in it. One algorithm that has good performance in a desktop computing environment is the Advance Encryption Standard (AES) algorithm. The algorithm is tested in an IoT computing environment with a data exchange architecture using an REST (Representational State Transfer) web service, resulting in an IoT system for agriculture with cryptographic implementations in it. In the tests carried out, the encryption process of 128 and 256 bits of plain text took 266.31 and 274.31 microseconds, while the memory used was 16% and 17% of the total memory, respectively. This shows the encryption time is fast, and the memory usage is relatively small.
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