{"title":"Penerapan Metode Forward Chaining pada Sistem Pakar Pendeteksi Awal Omicron","authors":"Devita Sari, Nofriadi Nofriadi, Mardalius Mardalius","doi":"10.29408/edumatic.v6i2.6316","DOIUrl":"https://doi.org/10.29408/edumatic.v6i2.6316","url":null,"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.","PeriodicalId":314771,"journal":{"name":"Edumatic: Jurnal Pendidikan Informatika","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128348573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sistem E-SCM untuk Manajemen Suplai Barang Produksi Pecah Belah berbasis Web","authors":"C. Ramadhani, Hambali Hambali, Akmal Akmal","doi":"10.29408/edumatic.v6i2.6373","DOIUrl":"https://doi.org/10.29408/edumatic.v6i2.6373","url":null,"abstract":"E-SCM is a system that can manage the delivery of goods that can be integrated between consumers, suppliers and traders. The purpose of this research is to create a web-based E-SCM system for glassware inventory management, which will be implemented at the Glosir Raju store. The model used to build this system is the system development life cycle, which includes the analysis, design, implementation, and testing phases. Data collection techniques were carried out by interview and observation. While the design phase in this research consists of making interfaces, use case diagrams, and class diagrams. Our result is a web-based E-SCM system for managing the distribution of glassware. The test results show that all functions work well in this system and follow the set design. Therefore, the E-SCM system for glassware shops makes the delivery of raw materials faster, and there are no delays in delivery, making the production process faster, more effective, and efficient, especially at the Glosir Raju store.","PeriodicalId":314771,"journal":{"name":"Edumatic: Jurnal Pendidikan Informatika","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132932224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Forward Chaining: Metode untuk Mengembangkan Sistem Prediksi Penyakit Gigi dan Mulut","authors":"Bobby Anggara Azhari, Neni Mulyani, Andy Sapta","doi":"10.29408/edumatic.v6i2.6376","DOIUrl":"https://doi.org/10.29408/edumatic.v6i2.6376","url":null,"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.","PeriodicalId":314771,"journal":{"name":"Edumatic: Jurnal Pendidikan Informatika","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133271936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Surya Gusti, Hambali Hambali, Sri Rezki Maulina Azmi
{"title":"Weighted Product sebagai Metode Pendukung Keputusan untuk Menentukan Kualitas Kinerja Guru","authors":"Surya Gusti, Hambali Hambali, Sri Rezki Maulina Azmi","doi":"10.29408/edumatic.v6i2.6296","DOIUrl":"https://doi.org/10.29408/edumatic.v6i2.6296","url":null,"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.","PeriodicalId":314771,"journal":{"name":"Edumatic: Jurnal Pendidikan Informatika","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122708426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sri Rahayu, Yumarlin Mz, Jemmy Edwin Bororing, Rahmat Hadiyat
{"title":"Implementasi Metode K-Nearest Neighbor (K-NN) untuk Analisis Sentimen Kepuasan Pengguna Aplikasi Teknologi Finansial FLIP","authors":"Sri Rahayu, Yumarlin Mz, Jemmy Edwin Bororing, Rahmat Hadiyat","doi":"10.29408/edumatic.v6i1.5433","DOIUrl":"https://doi.org/10.29408/edumatic.v6i1.5433","url":null,"abstract":"The phenomenon of technological development can transform systems in various sectors to provide efficiency and convenience at a lower cost, including the financial sector. Flip is a financial service application that makes it easy to transfer money between banks without administrative fees. By the end of 2021, the Flip will have a 4.9 rating on the Google Play Store. The purpose of this study was to analyze user sentiment towards the Flip app to see if flip user ratings were as positive as the ratings received. This study uses a set of text mining processes on the user rating data of the Flip app on the Google Play Store, using the classification algorithm K-Nearest Neighbor with TF-IDF weighting. The results show that 77.67% of the test data are correctly classified as positive evaluation classes, with high accuracy and recall rates of 82.67% and 86.92%, respectively. In addition, from the results of applying the Flip user rating data classification method, the comparison between training data and test data is 80%:20%, and the classification accuracy using the K-Nearest Neighbor algorithm is 76.68%. User reviews of the Flip app have shown positive results, as well as the ratings obtained in the Google Play Store and the K-Nearest Neighbor algorithm, TF-IDF weighting process used to analyze user sentiment towards the Flip app.","PeriodicalId":314771,"journal":{"name":"Edumatic: Jurnal Pendidikan Informatika","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114403225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Aplikasi Panic Buton Untuk Keamanan Warga Berbasis Android","authors":"Torkis Nasution, Wilda Susanti, Yandri Armi, Rangga Rahmadian Yuliendi","doi":"10.29408/edumatic.v6i1.5127","DOIUrl":"https://doi.org/10.29408/edumatic.v6i1.5127","url":null,"abstract":"Citizens highly expect environmental security, but criminality is inevitable. The level of crime in the community brings unrest and discomfort, so a security system is needed that is connected with the officers concerned. This study aims to build a security system application connected to environmental security officers. This system can help the public provide reports quickly through the panic button application embedded in Android. System development using the spiral model method. A spiral model is an evolutionary software process model assembling the interactive nature of the prototype using control and systematic aspects of a linear sequential model. Meanwhile, the system design stage uses the Unified Modeling Language (UML). The application is in Android Studio for the design stage, a unique Integrated Development Environment (IDE) that runs on the Android platform. The panic button application is a security system designed to assist the public in providing reports and make it easier for security officers to follow up on the messages given. Accelerate the follow-up process of crimes because it is based on Android.","PeriodicalId":314771,"journal":{"name":"Edumatic: Jurnal Pendidikan Informatika","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133277243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Iman Wahyudi, Eko Wahyu Wibowo, Sopiullah Sopiullah
{"title":"Web-Based Face Recognition using Line Edge Detection and Euclidean Distance Method","authors":"M. Iman Wahyudi, Eko Wahyu Wibowo, Sopiullah Sopiullah","doi":"10.29408/edumatic.v6i1.5525","DOIUrl":"https://doi.org/10.29408/edumatic.v6i1.5525","url":null,"abstract":"A face recognition system is to perform a match face image using the face extraction method. There are many applications used in various algorithms and implemented in many programming languages, but still difficult to implement on web-based applications using the PHP programming language. The purpose of this research is to produce a website-based application focused on the face recognition section. The author will limit the system only to detect the front view of the face, the main goal is to get a fairly high level of accuracy. There will be a feature to find where the face is located. The research method used is a laboratory experiment where the search system scheme based on face recognition will produce the appearance of several faces that have the closest Euclidean distance values from grades 1st to 5th. The results from the comparison of the test image with the training image based on Line Edge Detection and Euclidean Distance calculation concluded that the system can be implemented in searching of similarity and recognizing the face.","PeriodicalId":314771,"journal":{"name":"Edumatic: Jurnal Pendidikan Informatika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115506260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pengembangan Aplikasi E-Assessment Skill Programming berbasis Web","authors":"Panyahuti Panyahuti, Yadi Yadi","doi":"10.29408/edumatic.v6i1.5393","DOIUrl":"https://doi.org/10.29408/edumatic.v6i1.5393","url":null,"abstract":"In online learning, lecturers cannot assess students' programming abilities optimally. This is because the lecturer cannot see directly step by step in making program code. It is very possible that the program code sent by the student was not the result of his work. The purpose of this research is to develop a web-based assessment application using Jupyter Notebook. The development method uses Research and Development (RD) with a quantitative descriptive approach to several development processes, including needs analysis, data collection, application design, testing, and implementation. The data collection technique uses literature study, observation, and documentation with data analysis using the Aiken'V validation test. The results of the research are the development of E-Assessment applications that can be used by lecturers and students in the programming learning process with the results of application system validation 0.88, application output 0.85, user security 0.85, display design 0.84, and user convenience 0.83 so that the E-Assessment application is suitable for use in assessing students on programming skills. ","PeriodicalId":314771,"journal":{"name":"Edumatic: Jurnal Pendidikan Informatika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130688320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. Wedashwara, A. Hidayat, Budi Irmawati, Ariyan Zubaidi
{"title":"Klasifikasi Teks menggunakan Genetic Programming dengan Implementasi Web Scraping dan Map Reduce","authors":"W. Wedashwara, A. Hidayat, Budi Irmawati, Ariyan Zubaidi","doi":"10.29408/edumatic.v6i1.5274","DOIUrl":"https://doi.org/10.29408/edumatic.v6i1.5274","url":null,"abstract":"Classification of text documents on online media is a big data problem and requires automation. Research has developed a text classification system with pre-processing using map-reduce and web scraping data collection. This study aims to evaluate text classification performance by combining genetic programming algorithms, map-reduce and web scraping for processing large data in the form of text. Data collection was carried out by observing web-based scraping. Data was collected by reducing 8126 duplicates. Map-reduce has tokenized and stopped-word removal with 28507 terms with 4306 unique terms and 24201 duplication terms. Text classification evaluation shows that a single tree produces better accuracy (0.7072) than a decision tree (0.6874), and the lowest is a multi-tree (0.6726). For the acquisition of genetic programming support values with the multi-tree, the highest average support is 0.3854, followed by the decision tree with 0.3584 and the smallest single tree with 0.3494. In general, the amount of support is not in line with the accuracy value achieved.","PeriodicalId":314771,"journal":{"name":"Edumatic: Jurnal Pendidikan Informatika","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125377265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Muhammad, Ferdi Ahmad Mauladi, Risky Kurniawan, Rangga Sanjaya
{"title":"Pengembangan Sistem Informasi Kawasan Agrowisata Menggunakan Konsep Model View Control berbasis Web","authors":"S. Muhammad, Ferdi Ahmad Mauladi, Risky Kurniawan, Rangga Sanjaya","doi":"10.29408/edumatic.v6i1.5422","DOIUrl":"https://doi.org/10.29408/edumatic.v6i1.5422","url":null,"abstract":"The business process of selling products from the Cimanggis Village community is still conventionally with a marketing strategy of offering words of mouth through business partners such as the community, retail, and markets, and the lack of access to information about product sales can hinder the product marketing process. This study aims to create a web-based agro-tourism area information system to help BUMDes and village UMKM overcome problems in ongoing business processes. Observation and interviews are methods used to collect data (needs analysis). Meanwhile, the MVC concept and the agile software development method were used to build an information system for agro-tourism areas in Cimanggis Village. This agro-tourism area information system is tested using black-box testing. The results of this study are data on UMKM activities and business processes in Cimanggis Village, design of information systems for agro-tourism areas, and evaluation of information systems. Data on business activities and processes are displayed in the current system analysis. The design of the information system is displayed in business processes, UML diagrams, and user interface views of the information system. The evaluation results show that the agro-tourism area information system can manage transaction data and information on UMKM products and tourism services with good results.","PeriodicalId":314771,"journal":{"name":"Edumatic: Jurnal Pendidikan Informatika","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125459634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}