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EDUMATIC: Jurnal Pendidikan Informatika
Published by Universitas Hamzanwadi
ISSN : -     EISSN : 25497472     DOI : 10.29408
Core Subject : Science, Education,
Computer Science & IT Education
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.
Arjuna Subject : -
Articles 439 Documents
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Sistem Prediksi Keuntungan Influencer Pengguna E-Commerce Shopee Affiliates menggunakan Metode Naïve Bayes Susanti Susanti; Aisum Aliyah Sari; M. Khairul Anam; Muhamad Jamaris; Hamdani Hamdani
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6 No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6787

Abstract

Shopee Affiliate is one of Shopee's e-commerce programs to make it easier to market products. However, with the popularity of this program, there are still many people who do not know the advantages of this program. As a result, in this e-commerce, not all sellers benefit (loss) from the products sold. In order to avoid the problem of losses on marketed products, this study aims to produce a profit prediction system for shoppe affiliate e-commerce users. To build the system, this research uses the waterfall method which is used to complete the prediction system. The first stage is to collect data from social media and references related to the prediction system, then design a prediction system, after carrying out the process of system creation and implementation and testing. The test uses blackbox to test the system and accuracy test to determine the level of accuracy of this system. The result of this prediction system is to gain knowledge in the form of profit rate patterns of influencers of shopee affiliate e-commerce users. Testing the accuracy of the system built has a very good performance with a percentage of 100%. So that the profit prediction of shopee affiliate e-commerce users is feasible to be implemented. With this system, it is hoped that the community will be able to increase sales at e-commerce shopee.
Penerapan Teorema Bayes pada Sistem Pakar Pendeteksi Penyakit Domba Ibman Andika; Dewi Maharani; Mardalius Mardalius
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6332

Abstract

Sheep are one of the livestock that can provide benefits such as meat, milk, and skin which are used as a source of income for the community, especially in the Asahan regency area.  However, still, the farmer's knowledge in terms of care and knowledge of sheep diseases can result in the sheep being able to die.  The purpose of this study was to create an expert system to diagnose sheep disease using the theory of Bayes. The waterfall is used as a model in this study with stages, analysis, design, implementation, and testing.  analysis was carried out to find the required data using observations and interviews.  The design of this system consists of Unified Modeling Language (use case ), diagram classes, flowcharts, and interfaces. Testing the system uses a black box which aims to find out the functionality of the system that has been implemented, and data analysis using the theory of Bayes.  Our findings resulted in bayes having an expert system for the diagnosis of diseases in sheep.  The results of Bayes analysis with the theory of Bayes showed that the disease experienced in sheep is deworming with a probability level of 60.71%.  The results of the black box test show that the functionality of this system is already running well
Weighted Product sebagai Metode Pendukung Keputusan untuk Menentukan Kualitas Kinerja Guru Surya Gusti; Hambali Hambali; Sri Rezki Maulina Azmi
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6296

Abstract

SMA Negeri 3 Tanjungbalai is a school located in Tanjungbalai City. Every year, the Principal holds a Teacher Performance Assessment to improve quality education. However, Teacher Performance Assessment is still done manually. The purpose of this research is to build a decision support system for teacher performance assessment to assist the process in determining the quality of performance with the weighted product method. The teacher performance appraisal process is applied in the form of a web application and using the SDLC model, namely planning, analysis, design, implementation, testing and management. Data collection techniques were carried out by means of interviews, observations and literature studies. And system testing is done using blackbox, based on blackbox testing, all functionality can run as expected. The value obtained is in the form of ranking the performance results with the best quality using a decision support system with a computerized weighted product method. The result of this study is to produce a decision support system that can produce information on teacher performance appraisal decisions in determining quality with a weighted product at SMA Negeri 3 Tanjungbalai. The decision support system made is able to provide convenience in the assessment process and can be used as needed.
Network Forensic Serangan DoS pada Jaringan Cloud berdasarkan Generic Framework for Network Forensics (GFNF) Tri Hesti Damayanti; Ira Rosianal Hikmah
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6466

Abstract

The attacks on cloud-based networks have increased and could lead to various disadvantages such as the inaccessibility of services until the loss of user’s trust. Owncloud is one cloud implementation that runs on a network with more than 200 million users. The aims of these researches are to find digital evidence from DoS attacks. Some DoS attacks are SSH brute force, SYN flood, ping of death, and port scanning on the Owncloud network and then finding the digital evidence such as the attacker's IP, time occurred of the attack, types of the attack, also the resource usage of CPU and RAM. This research uses Wireshark and Snort tools to analyze the network and the method of Generic Framework for Network Forensic (GFNF) as a framework during the simulation process until performing the evidence. The simulation was carried out for 1 minute with 30 trials for each attack. The results of this study found the attacker’s IP, time of the attack occurred, types of attack, and also the increase of the resource usage on CPU and RAM when an attack occurred. The found of results digital evidence such as the attacker's IP, the time occurred of attack, and the types of attack were visualized as a table and presented on the ELK Stack dashboard. 
Rancang Bangun Pendeteksi Penyakit Jantung menggunakan Teknik Algoritma Fuzzy Logic berbasis IoT Irma Salamah; Syafa Naura Afifa; Emilia Hesti
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6164

Abstract

Heart rate is a health indicator that has the advantage of assessing or knowing a person's health quickly. It is useful as the first diagnosis of the presence or absence of heart disorders. By building an IoT (Internet of Things) based heart rate monitoring system, it is hoped that it can be monitored, and through Android can check the heart rate. An IoT system is an idea that can expand and utilize a relationship that is connected continuously. Where IoT can monitor a person's condition so that a person's condition remains monitored 24 hours. This study aims to design a heart disease detector using an iot-based fuzzy logic algorithm technique. The method used to design this tool is the waterfall method. In the design of an IoT-based heart rate tool, it can directly find out the heart rate experienced by high, low, or normal and automatically there are already recommendations for exercise and food according to the heart rate. Testing this tool uses hardware consisting of a max30100 sensor, nodeMCU, and an android application as an interface. The results of this study show that the tool created has an error percentage between 0.1% to 6.2%, and all data from the heart rate tool results are directly sent to the Android application in real-time based on the available Internet network connection.
Buku Prestasi Santri berbasis Digital menggunakan Prinsip Postel Muhammad Fahmi Faisal Hikmawan; Irfansyah Irfansyah
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6 No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6691

Abstract

Recording students' learning activities at Quran Education Institute is still done manually, but reporting to the government (Kemenag) has gone through an online system. Teachers sometimes have to input data from the printed version into the digital system, increasing their burden. This research aims to create a Graphical User Interface (GUI) digital achievement book that will make it simpler for teachers to track the development and activities of their students' learning. In this study, the User-Centered Design (UCD) process was used, which included understand the context of use, specify user requirements, produce design solutions, and evaluate against requirements. Data was gathered by questionnaires and interviews and then analyzed using descriptive techniques. Postel principles apply in this Graphical User Interface (GUI) design to simplify input variations into interface elements. The study produces a GUI design of digital achievement books (SimpelQu) to make it easier for teachers to input information on Iqra learning (volumes, pages, reading descriptions and reading status). The System Usability Scale (SUS) technique was used to evaluate this design on five teachers to assess GUI usability. The SUS test yielded an average final score of 75, indicating its design has acceptable usability and is appropriate for assisting teachers.
Forward Chaining: Metode untuk Mengembangkan Sistem Prediksi Penyakit Gigi dan Mulut Bobby Anggara Azhari; Neni Mulyani; Andy Sapta
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6376

Abstract

Handling dental and oral diseases require knowledge, techniques, and experts so that the disease can be handled properly. However, the lack of a team of experts and the lack of public knowledge about this disease, a system is needed that can prevent and overcome the symptoms of the disease. This study aims to apply forward chaining as a method to develop a prediction system for dental and oral diseases. The method used in this study is forward chaining and the model used is the waterfall with stages of analysis, system design, application, integration testing, operation maintenance. This study carried out data processing from the clinic. The data is then processed data. Based on the results of black box testing involving patients, and the community directly, the function in this system is already Use of this system can provide convenience for the community, and patients in diagnosing dental and oral diseases.
Penerapan Metode Forward Chaining pada Sistem Pakar Pendeteksi Awal Omicron Devi Ayu Indah Sari; Nofriadi Nofriadi; Mardalius Mardalius
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6316

Abstract

Omicron is a type of virus that is again spreading in Asahan Regency, especially at the Sidodadi Health Center due to. Many people do not pay attention to the disorder and the causes and symptoms that occur in the virus. To overcome this, it is necessary to have the technology to detect the initial symptoms of this virus. The purpose of this study was to create an expert system to detect the initial symptoms of omicron using the forward chaining method. This stage of research consists of analysis, design, implementation, and testing. The data collection techniques used are observations and interviews. Meanwhile, this system uses six cases as a reference to detect omicron symptoms, namely confirmed, probable, severe category, moderate category, mild category, and asymptomatic. Before this system is used, system testing of all functions on components using a black box is carried out. Our findings resulted in an expert system of early symptom detection of omicron that can display the results of patient diagnoses such as symptoms, cases, and solutions. The test results show that all components such as buttons, text inputs, and outputs are working properly according to the procedure. So that this system can be used by the health Center to help detect the initial symptoms of omicron that occur in patients, and can provide the best solution for patients treated at this health center.
Sistem Informasi Alih Kredit Mata Kuliah (SIAKSI) untuk Mahasiswa berbasis Web Dian Nurdiana; Adhi Susilo; Dwi Astuti Aprijani; Andri Suryadi
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6 No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6753

Abstract

Currently, the Open University Information Systems study program has developed a credit transfer application but it is not optimal. Administrators and assessing lecturers must manually input student credit transfer applications and students cannot monitor the credit transfer application process. The purpose of this study is to create an information system for transferring course credits for students so as to overcome problems in current business processes. The software development method uses Waterfall which consists of needs analysis, design, coding and testing. The analysis stage uses the PIECES method which examines aspects of performance, information, economy, security, efficiency and customer service. The business process design is depicted using the Use Case and Activity Diagrams, while the system testing uses Black Box. Our findings are in the form of an information system that can help the academic process to transfer course credits. In addition, the results of blackbox testing, all components in this system have run well according to the previously built design. Therefore, the existence of this system can help the campus to record students who will be about credits in the courses they take
Sistem Peramalan Permintaan Darah dengan Metode Simple Moving Average Wan Mhd Iqbal Muttaqin; William Ramdhan; Wan Mariatul Kifti
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6326

Abstract

Simple Moving Average (SMA) is a method used to forecast a state of affairs in the next period. This method is applied to determine the number of blood requests in PMI in the Asahan Regency area. Blood stock is an important factor to support activities in this PMI organization by paying attention to the condition of this month /period and predicting the next period. The purpose of this study is to build a blood demand forecasting system with the SMA method. The model used to build this system is a waterfall with stages of analysis, design, implementation and testing. The data we use for this forecasting is the demand for blood from July 2021 to June 2022. Data analysis used the SMA method to determine the rate of prediction errors in this system, while testing this system used a black box. The results of our products are in the form of a web consisting of the login menu, the main menu, the calculation results. The calculation results using the SMA method in our system are appropriate, and can display the number of blood demand stocks in each period. The results of testing the system using black box show that this system is running properly without any errors, and it is working properly. Therefore, the existence of this system can help pmi to determine the number of requests based on blood type.

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