Knowbase : International Journal of Knowledge in Database最新文献

{"title":"Decision Support System for Choosing The Best Housing Location by The Satisficing Model and AHP Method","authors":"Eva Tri Ningsih","doi":"10.30983/knowbase.v2i2.6046","DOIUrl":"https://doi.org/10.30983/knowbase.v2i2.6046","url":null,"abstract":"Residence is the most important means of life as a place to gather with family and build a peaceful and harmonious family. The realization of community welfare and quality human resources can be characterized by an improvement in the standard of living. This research took an alternative location to the villages located in Rumbai district, namely Sri Meranti, Umban Sari, Palas, Lembah Damai, Limbungan Baru, Meranti Pandak. The criteria used are at least 6 criteria with the AHP Method and Satisficing Model. The Analytical Hierarchy Process (AHP) method compares based on human perception, the AHP method can be strengthened by the Satisficing Models method because the Satisficing Models method in this case is a comparison method that calculates real financial or economic value with the human perception method. Thus, it can be concluded from this application and research that the Satisficing Models Method is a supporting method or method to strengthen the feasibility of the AHP method. The AHP method compares only six sides of the compared criteria in this DSS, while the Satisficing Models method compares all six financial aspects. In this case, the recommended alternative location to select is the one with the highest rating result in the AHP method - The Satisficing Model.","PeriodicalId":284351,"journal":{"name":"Knowbase : International Journal of Knowledge in Database","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121335717","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":"Utilization of The Qr-Code on The Santri Id-Card as The Santri’s Personal Data Code","authors":"M. A. V. Ideal","doi":"10.30983/knowbase.v2i2.6018","DOIUrl":"https://doi.org/10.30983/knowbase.v2i2.6018","url":null,"abstract":"Data management has always been a challenge in all aspects, including the management of students' personal information. Building an information system capable of producing student Id-cards equipped with a QR-code enables the use of the QR-code on the student Id-card as a student personal data code. This study aims to build a system to make it easier to make student ID-cards, store personal data, and data on student semester scores. The QR-code on the student's ID card serves as a medium for quickly conveying information encoded with Uniform Resource Locators (URL). Santri can scan the QR-Code with a smartphone device that has a QR-code scanning app installed. The Research and Development (RnD) version of ADDIE was used in this study (Analyze, Design, Develop, Implement, Disseminate). The application was created with the sublimetext software, the codeigniter framework, and CSS bootstrap as the front end. For the validity test, Aiken's \"V\" formula was used, as was the Moment kappa Formula for the practicality test, and the Gain Score formula for the effectiveness test. Based on the results of the three tests, the product is valid with a score of 0.9, practical with a score of 0.94, and effective with a score of 1.","PeriodicalId":284351,"journal":{"name":"Knowbase : International Journal of Knowledge in Database","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127210805","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":"Application of Case Based Reasoning Using The K-Nearest Neighbor Algorithm in an Expert System for Diagnosing Pests and Diseases of Sugarcane Plants","authors":"Andi Maulidinnawati A. K. Parewe, M. Mursalim, Titis Sari Putri, Herma Hermawati","doi":"10.30983/knowbase.v2i2.5959","DOIUrl":"https://doi.org/10.30983/knowbase.v2i2.5959","url":null,"abstract":"Sugarcane pests and diseases are still diagnosed manually, which can lead to errors such as data loss or inaccurate data. The goal of this research is to develop an expert system for identifying plant pests and diseases that affect sugarcane yield and quality. This data was obtained through literature study, observation, and interviews. The Case Based Reasoning method is used to find cases by comparing previous cases with recent cases using similarity calculations with the K-Nearest Neighbor algorithm to find the best solution from the identified cases. The results of this study indicate that the expert system for diagnosing sugarcane pests and diseases is easy to use, the appearance is easy to reach, and the diagnostic process does not take a long time. Based on testing the accuracy of the system to diagnose according to the expert's mind, it got an accuracy of 96% from 50 cases tested with the system and got a percentage result of 87.33% from 10 respondents including very feasible criteria.","PeriodicalId":284351,"journal":{"name":"Knowbase : International Journal of Knowledge in Database","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124656705","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":"Verification Of Student Diplomas Based On Qr Code","authors":"Citra Widya Herawati","doi":"10.30983/knowbase.v2i2.5851","DOIUrl":"https://doi.org/10.30983/knowbase.v2i2.5851","url":null,"abstract":"Diploma verification is still done manually. During this time, the diploma is verified by displaying the original diploma. Because the campus does not match the diploma with the existing archives, diploma falsification is possible. IAIN Bukittinggi uses manual methods to verify the authenticity of diplomas. The goal of this research is to create a diploma verification system based on QR CODE to verify the authenticity of diplomas. Research and Development is the type of research employed (R&D). The system development model employs a waterfall approach and the System Development Life Cycle (SDLC). The validity test results are valid, with an average of 0.90. The average practicality test result is 92, indicating that the product is very practical. And the effectiveness test results with an average of 0.90, which is very high.","PeriodicalId":284351,"journal":{"name":"Knowbase : International Journal of Knowledge in Database","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115209017","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":"Implementation of the Support Vector Machine Method for Sentiment Analysis Using Twitter Data","authors":"W. Wahyuni","doi":"10.30983/knowbase.v2i2.6019","DOIUrl":"https://doi.org/10.30983/knowbase.v2i2.6019","url":null,"abstract":"The development of feminism, which is centered on women all over the world who want to be free of male pressure, oppression, and inequality, has continued to the present day. Various public opinions about feminism are now being expressed on various social media platforms. There has been a long debate about feminism's critics and supporters in terms of equalizing women's intellectual and the role of women in making decisions. Not only that, but the desire to end acts of violence and injustice against women is a form of feminism that is often taken for granted, even in the legal realm. The purpose of this study was to examine public sentiment based on opinions shared on social media. Hashtags related to feminism from social media are the main data that will be used to analyze public opinion sentiments about feminism. In this study, 500 tweets were used, and the data was later separated into positive, negative, and neutral opinions before being analyzed using the Support Vector Machine (SVM) method. The results of this study obtained an accuracy of 72%, indicating that the use of SVM to perform sentiment analysis on Twitter data is quite good.","PeriodicalId":284351,"journal":{"name":"Knowbase : International Journal of Knowledge in Database","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117348592","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":"Sentiment Analysis And Topic Modeling on User Reviews of Online Tutoring Applications Using Support Vector Machine and Latent Dirichlet Allocation","authors":"Mohammad Rezza Fahlevvi","doi":"10.30983/knowbase.v2i2.5906","DOIUrl":"https://doi.org/10.30983/knowbase.v2i2.5906","url":null,"abstract":"Ruangguru is an online non-formal education application in Indonesia. There are several appealing features that encourage students to study online. The app's release on the Google Play Store will assist app developers in receiving feedback through the review feature.Users submit various topics and comments about Ruangguru in the review feature of Ruangguru, making it difficult to manually identify public sentiments and topics of conversation. Opinions submitted by users on the review feature are interesting to research further. This study aims to classify user opinions into positive and negative classes and model topics in both classes. Topic modeling aims to find out the topics that are often discussed in each class. The stages of this study include data collection, data cleaning, data transformation, and data classification with the Support Vector Machine method and the Latent Dirichlet Allocation method for topic modeling. The results of topic modeling with the LDA method in each positive and negative class can be seen from the coherence value. Namely, the higher the coherence value of a topic, the easier the topic is interpreted by humans. The testing process in this study used Confusion Matrix and ROUGE. The results of model performance testing using the Confusion Matrix are shown with accuracy, precision, recall, and f-measure values of 0.9, 0.9, 0.9, and 0.89, respectively. The results of model performance testing using ROUGE resulted in the highest recall, precision, and f-measure of 1, 0.84, and 0.91. The highest coherence value is found in the 20th topic, with a value of 0.318. Using the Support Vector Machine and Latent Dirichlet Allocation algorithms are considered adequate for sentiment analysis and topic modeling for the Ruangguru application.","PeriodicalId":284351,"journal":{"name":"Knowbase : International Journal of Knowledge in Database","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115207398","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":"Design an Alumni Data Collection Information System Using the Waterfall Method","authors":"Dwi Rahmayani Early, Alhuda Alhuda","doi":"10.30983/ijokid.v2i2.5855","DOIUrl":"https://doi.org/10.30983/ijokid.v2i2.5855","url":null,"abstract":"The background of this research is that there is no alumni data collection information system at the Informatics and Computer Engineering Education Department (PTIK) IAIN Bukittinggi. Because the PTIK department already has a large number of alumni, a system that can serve as a forum for alumni data is required. The method used is Research and Development (R&D). R&D is a research method used to manufacture a specific product and test its effectiveness. The development model used is ADDIE, which stands for analyze, design, develop, implement, evaluate. The waterfall model is used in the system development model. The findings of this study include the development of an information system for collecting alumni data. The product is available for use by the head of PTIK department and the alumni. To demonstrate the system's effectiveness, three validators were obtained with a total value of 0.76 and were declared valid, while three examiners obtained a total value of 86.7 and were declared very practical. The effectiveness test on 5 graduates yielded a total score of 0.88 using very effective criteria.","PeriodicalId":284351,"journal":{"name":"Knowbase : International Journal of Knowledge in Database","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125087275","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":"Performance Analysis of Openlitespeed and Apache Web Servers in Serving Client Requests","authors":"Haris Sandra","doi":"10.30983/ijokid.v2i2.5306","DOIUrl":"https://doi.org/10.30983/ijokid.v2i2.5306","url":null,"abstract":"Web server those who use apache are now very familiar to users, because apache is easier to use than other web servers, but runs PHP applications (Hypertext Preprocessor) by handling 100000 requests is certainly very influential on the speed of the web server. Openlitespeed is a web server that functions the same as apache, but server users are more likely to use openlitespeed. This study conducted a performance test on both web servers to find out which web server is very suitable for use in completing client requests. This test uses the https://webpagetest.org, https://gtmetrix.com and https://developers.google.com/speed/pagespeed/insights applications. To do benchmarking of the many diverse client requests. The trial results in the current study provide benchmarking results which result in terms of time usage.","PeriodicalId":284351,"journal":{"name":"Knowbase : International Journal of Knowledge in Database","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132279815","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":"Design Expert System to Identify Student Talent Based on Personality Type Using Certainty Factor Method in SMP Muhammadiyah Kandis Siak Riau Province","authors":"Febryanto Febryanto, Liza Efriyanti","doi":"10.30983/ijokid.v2i1.5587","DOIUrl":"https://doi.org/10.30983/ijokid.v2i1.5587","url":null,"abstract":"The goal of this research is to create a system design that \"can assist parents and teachers in recognizing the talents of their students\" based on the child's personality, so that parents and teachers can provide \"the right education and learning patterns for students\". The author discovers that there is no expert system in SMP Muhammadiyah Kandis to identify children's talents based on personality type using certainty factor methods, and that at SMP Muhammadiyah Kandis, evaluations are still done manually and only to determine intelligence, not to determine student talent. The research method that the author uses is the Research and Development method, where the development method that the author uses is the Waterfall method according to Pressman, which the stages consist of Communication, Planning, Modeling, Construction, Development.‎ Based on the findings of the authors' research, the authors were successful in creating this research product, with the functional suitability test results from two experts obtaining a feasibility value of 100%, which was declared Very Fair, and the compatibility test results obtaining a feasibility value of 100%, which was declared Very Eligible and the feasibility score for the usability test was 86.3%, which was declared Very Eligible, and the feasibility score for the material result test was 81%, which was declared Very Eligible, and the feasibility score for the Indonesian linguistic test was 87.5%, which was declared Very Eligible. The aim of this study is to develop a expert system to identify children's interests and talents that are validated and worthy of being operated.","PeriodicalId":284351,"journal":{"name":"Knowbase : International Journal of Knowledge in Database","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123675182","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":"Designing An E-Teacher Application as A Method of Digitizing Learning in SMKN 1 Ampek Angkek","authors":"R. Novita, Vania Rizkya Lestari","doi":"10.30983/ijokid.v2i1.5675","DOIUrl":"https://doi.org/10.30983/ijokid.v2i1.5675","url":null,"abstract":"ABSTRACTAn electronic teacher is an alternative form that teachers and students can use to conduct online learning. The focus of this research is to build a valid, practical, and effective research product in the form of an e-teacher application that can be used to digitize learning in the midst of the COVID-19 pandemic in SMKN 1 Ampek Angkek. This research uses research and development (RnD) methods. System development in this research refers to the waterfall model with five stages: requirements definition, system and software design, implementation and unit testing, integration and system testing, operation and maintenance. Furthermore, the product is tested with three types of product testing: validity, practicability, and effectiveness. The research results from the design of an e-teacher application to assist teachers and students in the learning process in the form of a website where teachers can add learning materials, learning tools, and exam questions. Students can also use the internet to access learning materials and take tests. The results of the validity test on 5 experts were 0.79, which was declared valid; the practicality test on 4 practitioners was 93, which was declared very practical; and the effectiveness test on 8 students was 0.79, which was declared effective. Based on the product test results, it is possible to conclude that the product of this research is worth to use in the learning process by teachers and students.Tujuan perancangan aplikasi e-guru ini adalah untuk membantu guru dan siswa dalam melakukan proses pembelajaran apabila tidak bertatap muka langsuang agar pembelajaran dapat berjalan sesuai dengan yang diharapkan. Jenis penelitian yang digunakan adalah penelitian dan pengembangan (Reseacrh and Development) versi ADDIE (Analyze-Design-Develop- Impelentation-Evaluation). Model pengembangan sistem yang digunakan adalah model pengembangan sistem Waterfall dengan lima tahap, yaitu Definisi persyaratan, Perancangan sistem dan perangkat lunak, Implentasi dan pengujian unit, Integrasi dan pengujian sistem, Operasi dan pemeliharaan. Uji produk yang digunakan adalah Uji Validitas, Uji Praktikalitas, dan Uji Efektifitas. Hasil penelitian dari perancangan aplikasi e-guru untuk membantu guru dan siswa dalam melakukan proses pembelajaran yang berupa website yang mana guru dapat menambahkan materi pembelajaran, perangkat pembelajaran dan soal-soal pembelajaran. Sedangkan siswa dapat mengakses materi pembelajaran dan mengerjakan soal-soal secara online. Sedangkan, uji validitas yang terdiri dari 5 orang ahli diperoleh nilai0,79 dinyatakan valid (berdasarkan perhitungan validitas dengan formula aiken’s), uji praktikalitas yang terdiri dari 4 orang praktisi di peroleh nilai 93 yang dinyatakan sangat praktis dan untuk uji efektifitas yang terdiri dari 8 orang siswa di peroleh nilai 0,79 yang dinyatakan efektif.","PeriodicalId":284351,"journal":{"name":"Knowbase : International Journal of Knowledge in Database","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115061461","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}