EDUMATIC: Jurnal Pendidikan Informatika
EDUMATIC: Jurnal Pendidikan Informatika (e-ISSN: 2549-7472) adalah jurnal ilmiah bidang pendidikan informatika yang diterbitkan oleh Universitas Hamzanwadi dua kali setahun yaitu pada bulan Juni dan Desember. Adapun fokus dan skup jurnal ini adalah (1) Komputer dan Informatika dalam Pendidikan; (2) Model Pembelajaran dan Model TIK; (3) Pengembangan Media Pembelajaran Berbasis Teknologi Informatika; (4) Interaksi Manusia dan Komputer; (5) Sistem Informasi dan Teknologi Informasi.
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<![CDATA[Name Disambiguation Analysis Using the Word Sense Disambiguation Method in Hadith ]]>
<![CDATA[Prasetio, Ageng]]>;
<![CDATA[Bijaksana, Mochammad Arif]]>;
<![CDATA[Suryani, Arie Ardiyanti]]>
<![CDATA[ Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 2 (2020): Edumatic : Jurnal Pendidikan Informatika ]]>
Publisher : <![CDATA[Universitas Hamzanwadi ]]>
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<![CDATA[Name disambiguation is the problem solving process to find similar names in sentences. The ambiguity of names can be found in hadith of Sahih Bukhari, names "Abdullah bin Amru" in hadiths no 27 and “Abdullah bin Amru†in hadith no 58, These names are the same, but there is no proof they are the same person. This problem is the early indication of ambiguity of name in the hadith. Based in this problem, this research aims to find name disambiguation of hadith narrators with classification by considering the perawi chain. To solved this problem the authors used Word Sense Disambiguation (WSD), WSD is a process to assign the same meaning from the sentences, based on the context in which the word appears. To classify several names in the hadith, the authors used KNN algorithm, by combining the WSD and KNN method can reduce the ambiguity of names in hadith. The data used in this study came from the hadith of Sahih Bukhori through the pre-processing stage. After conducting the research showed a collection of hadith numbers with the same name prediction with an accuracy of 99% at k = 1. Thus, this method can be used for name disambiguation.]]>
<![CDATA[Efektivitas Penggunaan Game Analisis Training terhadap Peningkatan Kemampuan Berpikir Induktif Remaja ]]>
<![CDATA[Novayani, Wenda]]>;
<![CDATA[Sasmita, Heri]]>
<![CDATA[ Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 2 (2020): Edumatic : Jurnal Pendidikan Informatika ]]>
Publisher : <![CDATA[Universitas Hamzanwadi ]]>
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<![CDATA[Inductive-reasoning is a step to draw general conclusions from individual matters. IR can be measured using the Intelligent Structure (IST) sub-ZR using a number pattern and using an Inductive Reasoning Test (IRT), which is an image pattern. One of the learning methods that are interesting and fun and student-cantered learning is Educational Game media. This study aims to see the effectiveness of games in learning to improve the students' inductive thinking skills at SMP YKPP Sungai Pakning. This study used a pre-experimental method with one group pretest-posttest conducted on 30 students of class IX B as the experimental subject. The data collection technique was implemented using a test instrument in 20 essay questions for IST and 30 objective questions for IRT. The material used in this game has also passed the validation stage carried out by a psychologist in Pekanbaru. Data were analyzed using the T-Test and score gain. Based on the study results, this game is believed to be 95% effective in improving adolescent inductive thinking skills, with an average increase of 26.6 points in the IST form and 17.8 points in the IRT form. Learning media with games are effectively applied to inductive-learning and can be used as an alternative to learning inductive-thinking at SMP YKPP Sungai Pakning. ]]>
<![CDATA[Prototype Sistem Monitoring Infus Berbasis IoT (Internet Of Things ) ]]>
<![CDATA[Akbar, Taufik]]>;
<![CDATA[Gunawan, Indra]]>
<![CDATA[ Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 2 (2020): Edumatic : Jurnal Pendidikan Informatika ]]>
Publisher : <![CDATA[Universitas Hamzanwadi ]]>
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<![CDATA[The development of increasingly sophisticated medical science and technology has an impact on the development of science and technology in the field of medical-devices. One of the existing equipment and is often used in hospitals, one of which is an IV. Currently in the world of health, infusion is still controlled manually. Because it takes time if the nurse has to go back and forth throughout the patient room. Not only is it time consuming, but there will be risks if it is too late to treat a patient whose infusion has run out. Technology needs to be used to minimize risks in the medical world, one of which is the application of IoT technology. This study aims to make it easier for nurses to control infusion conditions in real time using the concept of IoT ( the Internet of Things). The method used is the Waterfall method. This research uses hardware consisting of Load Cell with the HX711 module as a weight sensor, NodeMCU V3 as a processor, and Thingspeak Web server as the interface with the user. The results of the measurement of the tool made have an error of 0.25 Gram, sending data to the Thingspeak.com Server requires a good connection for maximum results.]]>
<![CDATA[Aplikasi Penyewaan Lapangan Futsal Berbasis Web ]]>
<![CDATA[Fadhlurrahman, Muhammad Fatih Fahmi]]>;
<![CDATA[Capah, Dwi Ade Handayani]]>
<![CDATA[ Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 2 (2020): Edumatic : Jurnal Pendidikan Informatika ]]>
Publisher : <![CDATA[Universitas Hamzanwadi ]]>
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<![CDATA[In Indonesia, there is one well-known sport, namely Futsal. Therefore, there are many businesses such as futsal court rental places. Basically, the futsal field rental is still manual, that is, customers come to the futsal location and make field rental transactions. This manual futsal court rental has a problem, namely that prospective customers cannot immediately find out the available empty schedule, this causes when they are already at the location but there is no desired schedule they are just wasting time. The purpose of this research is to find a solution in order to solve the problem in the manual futsal court rental method. With the creation of a web-based futsal court rental application that is expected to be able to solve this problem. This application was created using the waterfall development method so that the process of making this application is recorded in order and neat. This study produces a web-based futsal court rental application that has been tested for its feasibility using the black box testing method. This application provides a field rental feature for potential customers, as well as facilitates the processing of field rental data and financial report data for field owners.]]>
<![CDATA[ADAPTIVE SOFTWARE DEVELOPMENT SEBAGAI MODEL PENGEMBANGAN APLIKASI LELANG KARET ]]>
<![CDATA[Andri, Andri]]>;
<![CDATA[Suyanto, Suyanto]]>
<![CDATA[ Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 2 (2020): Edumatic : Jurnal Pendidikan Informatika ]]>
Publisher : <![CDATA[Universitas Hamzanwadi ]]>
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<![CDATA[Rubber auction cooperatives are cooperatives whose main function is to auction rubber agricultural products for these member communities. Currently, among the problems that exist in the auction process, namely: first, auction entrants must come to the auction site even if only to bid a price. Second, the auction administration process has redundant of entrant data due to having to fill out a form every time they participate in the auction. From these two problems, this research will conduct application development as an auction medium for related parties. The application developed is a mobile-based application so that it can be accessed easily by all parties. The method used in the development process is the adaptive software-development method with three major stages of speculation, collaboration, and learning which was tested using black box testing. The Research Results are an application with the main feature of conducting the auction process from the cooperative's side, and auction participants can bid prices through the application. The application developed also functions properly in accordance with existing features as evidenced by the results of application testing using the black box technique so that it can help the rubber auction process for related parties.]]>
<![CDATA[Evaluation of Rapidminer-Aplication in Data Mining Learning using PeRSIVA Model ]]>
<![CDATA[Uska, Muhammad Zamroni]]>;
<![CDATA[Wirasasmita, Rasyid Hardi]]>;
<![CDATA[Usuluddin, Usuluddin]]>;
<![CDATA[Arianti, Baiq Desi Dwi]]>
<![CDATA[ Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 2 (2020): Edumatic : Jurnal Pendidikan Informatika ]]>
Publisher : <![CDATA[Universitas Hamzanwadi ]]>
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<![CDATA[RapidMiner is an application that is used to analyze data quantities and qualitatively to obtain information and knowledge as expected. This software is implemented to process data using several methods or algorithms in Data Minig learning. However, when using this software, users sometimes cannot distinguish between various methods or algorithms in Data Mining. Therefore, it is necessary to evaluate to optimize the use of this software in data mining learning. This study focuses on RapidMiner evaluation of data mining learning using the Persiva model. This model consists of aspects of satisfaction, behavior, impact, and effectiveness. The data collection technique was in the form of a questionnaire with 48 subjects. Data analysis used is descriptive statistics to determine satisfaction, behavior and effects. Meanwhile, Think-Aloud Retrospective technique is used to determine the effectiveness of RapidMiner. Our findings show that users are satisfied with the results of respondents on average agreeing (80%), in the aspect of behavior and impact, the percentage results are above 80%, and the use of this application has been effective with a completion rate above 90%. So it can be concluded that by using this application in data mining learning users can easily complete tasks, and be motivated, and add insights and knowledge in relevant disciplines.  ]]>
<![CDATA[Pengukuran E-learning Readiness pada Mahasiswa Sebagai Upaya Penerapan Pembelajaran Jarak Jauh Masa Pandemi COVID-19 ]]>
<![CDATA[Sulistyohati, Aprilia]]>
<![CDATA[ Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 2 (2020): Edumatic : Jurnal Pendidikan Informatika ]]>
Publisher : <![CDATA[Universitas Hamzanwadi ]]>
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<![CDATA[One of the efforts to reduce COVID-19 cases is a Distance Learning (PJJ) system for all levels of education. This study aims to determine the e-learning readiness of Cikarang University. Measurement of e-learning readiness implementation is carried out using the ELR framework. In this study, the ELR framework has consist of 4 main components, that are technology, innovation, people and self-development. This research was conducted on student in Cikarang University. Collecting data used structured interview with the campus management and then distributing questionnaires. The data processing used descriptive statistical techniques then mapped the e-learning Readiness index. The results of this study is to show that the Faculty of Engineering Cikarang University in the third level (ready) in implementing e-learning, but still requires improvement and preparation in several aspects to achieve success in implementing e-learning. Some recommendations are proposed for Cikarang University, that is the availability of an e-learning system that can fulfill students' need for learning and assigning. In addition, the campus is expected to be able to conduct socialization and training on e-learning to students so that it makes students understand the e-learning system at Cikarang University.]]>
<![CDATA[Perbandingan Prediksi Kualitas Kopi Arabika dengan Menggunakan Algoritma SGD, Naive Bayes, dan Random Forest ]]>
<![CDATA[Sari, Veronica Retno]]>;
<![CDATA[Firdausi, Feranandah]]>;
<![CDATA[Azhar, Yufis]]>
<![CDATA[ Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 2 (2020): Edumatic : Jurnal Pendidikan Informatika ]]>
Publisher : <![CDATA[Universitas Hamzanwadi ]]>
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<![CDATA[Classification is one of the techniques that exist in data mining and is useful for grouping a data based on the attachment of the data with the sample data. The dataset that is used in this study is the coffee dataset taken from Dataset Coffee Quality Institute on the GitHub platform. The attributes that contained in the dataset are Aroma, Aftertaste, Flavor, Acidity, Balance, Body, Uniformity, Sweetness, Clean Cup, and Copper points. There are 3 classification methods that are used in this study, Stochastic Gradient Descent, Random Forest and Naive Bayes. The aim of this study is to find out which algorithm is the most effective to predict the coffee quality in the dataset. After that, the prediction results will be tested using K-Fold Cross Validation and Area Under the Curve (AUC) method. The results show that Stochastic Gradient Descent obtained the best accuracy results compared to the other two methods with an accuracy of 98% and increased to 99% after tested using K-fold Cross Validation and AUC method.]]>
<![CDATA[Optimasi Algoritma Naïve Bayes Classifier Untuk Mendeteksi Anomaly Dengan Univariate Fitur Selection ]]>
<![CDATA[Harianto, Harianto]]>;
<![CDATA[Sunyoto, Andi]]>;
<![CDATA[Sudarmawan, Sudarmawan]]>
<![CDATA[ Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 2 (2020): Edumatic : Jurnal Pendidikan Informatika ]]>
Publisher : <![CDATA[Universitas Hamzanwadi ]]>
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<![CDATA[System and network security from interference from parties who do not have access to the system is the most important in a system. To realize a system, data or network that is safe at unauthorized users or other interference, a system is needed to detect it. Intrusion-Detection System (IDS) is a method that can be used to detect suspicious activity in a system or network. The classification algorithm in artificial intelligence can be applied to this problem. There are many classification algorithms that can be used, one of which is Naïve Bayes. This study aims to optimize Naïve Bayes using Univariate Selection on the UNSW-NB 15 data set. The features used only take 40 features that have the best relevance. Then the data set is divided into two test data and training data, namely 10%: 90%, 20%: 70%, 30%: 70%, 40%: 60% and 50%: 50%. From the experiments carried out, it was found that feature selection had quite an effect on the accuracy value obtained. The highest accuracy value is obtained when the data set is divided into 40%: 60% for both feature selection and non-feature selection. Naïve Bayes with unselected features obtained the highest accuracy value of 91.43%, while with feature selection 91.62%, using feature selection could increase the accuracy value by 0.19%.]]>
<![CDATA[Pemanfaatan TIK Sebagai Media Pembelajaran dan Sumber Belajar oleh Guru TIK ]]>
<![CDATA[Lestari, Isnania]]>;
<![CDATA[Pratama, Meko Hendwi]]>
<![CDATA[ Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 2 (2020): Edumatic : Jurnal Pendidikan Informatika ]]>
Publisher : <![CDATA[Universitas Hamzanwadi ]]>
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<![CDATA[Information and computer technology (ICT) is currently being used in all fields, including education. One of the uses of ICT in the field of education is for learning media and learning resources that can be used by teachers. This study aims to determine the extent to which the competence or ability of teachers, especially in ICT subjects, in utilizing ICT both as a medium of learning and a learning resource. The use of ICT is carried out to make it easier for teachers to implement the learning process. The research method used is descriptive with a survey form. The data collection tools used were questionnaires and interviews. The data analysis technique used is quantitative-descriptive to process questionnaire data and qualitative-descriptive to process interview data. Based on the data obtained, the use of ICT as a Learning Media and Learning Resources by Equivalent High School teachers in East Bunguran District, Natuna Regency is at a percentage above 80% with a high category. This shows that the teacher's ability to use ICT is very good. The learning media is majority often used are presentation processing applications and projectors. Meanwhile, the most widely used learning resource is the Internet.]]>
