Journal of Information System Research (JOSH)最新文献

{"title":"Analisis Karakteristik Antivirus Berdasarkan Aktivitas Malware menggunakan Analisis Dinamis","authors":"Ma'arij Haritsah, Adityas Widjajarto, Ahmad Almaarif","doi":"10.47065/josh.v4i2.2908","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2908","url":null,"abstract":"Malware, short for “Malicious Software”, is a program specifically designed to perform an activity that can harm software on a victim's device. Examples of commonly found malware include trojans, ransomware and downloaders. It is important for computer users to recognize and avoid malware when using computer devices. Therefore, computer users can overcome malware attacks by using protection software specifically for computer devices using Antivirus software designed to prevent, find, detect, and remove the types of malware that have been mentioned previously. In this study, the dynamic analysis method is used to determine malware activity by running it and monitoring the activity that occurs. This method is usually used to identify the actions that malware performs when it runs. The results showed that the higher the number of malware activities, the higher the metrics tested on the antivirus, such as CPU, memory, disk, and scan time. Regarding the removable drive protection feature, Avast antivirus is relatively more efficient compared to other antiviruses because it has an average CPU usage, low memory, a fairly high detection rate, and fast scan times. Kaspersky Antivirus is relatively the most effective in detecting malware samples with the highest detection rate of 100%. Meanwhile, the Windows Defender antivirus is relatively the weakest in terms of detection rate because it has the lowest detection rate.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127855214","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":"Perbandingan Metoda K-NN, Random Forest dan 1D CNN untuk Mengklasifikasi Data EEG Eye State","authors":"Muhammad Ibnu Choldun Rachmatullah, A. Wicaksono, Virdiandry Putratama","doi":"10.47065/josh.v4i2.2998","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2998","url":null,"abstract":"The use of machine learning / machine learning methods is very important in developing identification of the status of the human eye, especially in terms of processing Electroencephalogram (EEG) signals to identify eye status. In previous research the method used can be a combination method between supervised learning and unsupervised learning, or a single method using supervised learning. In this study, the EEG Eye State classification uses a single method with supervised learning, namely using the following methods: K-nearest neghbors (k-NN), random forest, and 1D Convolutional Neural Networks (1D CNNs). The performance of the three classifier methods is measured using four measures, namely: accuracy, recall, precision, and F1-Score.  From the experimental results it was found that the k-NN method has the best performance compared to the other two methods in terms of the four measures used, where the value of each measure is: accuracy = 82.30%; recall=82.30%; precision= 82.36%; and F1-Score=82.30%. K-NN is more suitable for classifying EEG Eye State than the other two methods, because all input attributes are from the dataset. has a data type of real numbers.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134146358","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":"Pengukuran Kesiapan Pengguna Website Srikandi Menggunakan Metode TRI (Technology Readiness Index)","authors":"Jovita Vannia Harianja, S. T. Safitri, Laurensia Manurung","doi":"10.47065/josh.v4i2.2986","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2986","url":null,"abstract":"The Srikandi website has been designated by the government as a general website for the Dynamic Archives Division. Srikandi's website is used to manage archives at Dinarpusda. This website was built to manage dynamic archives electronically which can have the effect of changing from manual to digital form and can help and facilitate employees in managing dynamic archives. The process of implementing information technology often creates new problems. The success of implementing information systems or technology adoption greatly influences user readiness. The purpose and benefits of this report are to fulfill the requirements for practical work courses. Distribution of questionnaires used to collect data. Questionnaires were distributed to the P3K division (Development, Development and Supervision of Archives) which was the sample in the study. The number of respondents was 15 respondents. Measuring user readiness for the Srikandi website uses the Technology Readiness Index (TRI) which functions to determine user readiness in using the Srikandi website in achieving the goal of making a website. The indicators used are optimism, innovation, discomfort and insecurity. The results of testing using TRI, obtained the results of the user's readiness level for the Srikandi website using belonging to the Medium category. This was obtained by looking at the results of the total TRI obtained, namely 3.03. This value is between 2.89 to 3.51 (2.90 ≤TRI≤3.51).","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132300337","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":"Analisis Sentimen Pengunjung Pulau Komodo dan Pulau Rinca di Website Tripadvisor Berbasis CRISP-DM","authors":"Yerik Afrianto Singgalen","doi":"10.47065/josh.v4i2.2999","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2999","url":null,"abstract":"A sentiment analysis is needed to identify tourist preferences for products and services in a tourist destination. Therefore, this study uses the Cross-Industry Standard Procedure for Data Mining (CRISP-DM) method to classify visitor review data for Komodo Island and Rinca Island obtained from the Tripadvisor website based on negative and positive sentiments, then recommends the development of an information system that can optimize the products and services of tourist destinations on Komodo Island and Rinca Island. Meanwhile, the algorithms used are k-Nearest Neighbor (k-NN), Naïve Bayes Classifier (NBC), Support Vector Machine (SVM), and Decision Tree (DT). Based on the results of data classification using the word weighting method or Term Frequency Inverse Document Frequency (TF-IDF) through the sentiment extract operator, it can be known that the five words that most often appear in tourist reviews of Komodo Island are as follows: Komodo dragons (1894), dragons (1596), island (1492), tour (840), boat (774). Meanwhile, the five words that most often appear in tourist reviews of Rinca Island are as follows: komodo dragon (1042), dragons (962), island (882), rinca (606), and boat (372).  In addition, the results of the classification of 564 Komodo Island tourist review data and 364 Rinca Island tourist review data using CRISP-DM-based k-NN, NBC, SVM, and DT algorithms, show that the Support Vector Machine (SVM) is the best-performing algorithm where the accuracy value is 99.69%, precision 100%, recall 99.39%, f-measure 99.69%, Area Under Curve (AUC) 100% and t-Test 0.958. Meanwhile, the results of processing tourist review data on Rinca Island products and services show that the Support Vector Machine (SVM) algorithm has the best performance with 100% accuracy, 100% precision, 100% recall, 100% f-measure, 100% Area Under Curve (AUC) and 0.964 t-Test.  After comparing the performance of SVM before and after using the Synthetic Minority Oversampling Technique (SMOTE), it can be seen that the implementation of the algorithm becomes more optimal when using the SMOTE operator. Thus, SVM is a relevant algorithm used as a model for analyzing tourist sentiment on Komodo Island and Rinca Island based on CRISP-DM.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"7 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132943791","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":"Penerapan Metode K-Nearest Neighbor Untuk Pemilihan Rekomendasi Game FPS Pada Aplikasi Google Play Store","authors":"Puji Pangestu, Resad Setyadi","doi":"10.47065/josh.v4i2.3006","DOIUrl":"https://doi.org/10.47065/josh.v4i2.3006","url":null,"abstract":"Game or game is a recreational activity with the aim of having fun, hobbies and free time. Games or games are usually done alone or together. Electronic games or better known as virtual games are games that use electronic media, which is entertainment in the form of multimedia that is made as attractive as possible so that players can get something so that there is inner satisfaction. Many game lovers are enthusiastic about the development of the game industry, including FPS games. FPS stands for \"First Person Shooter\" which means Indonesian, namely \"Frames Per Second\" which means it is a game that displays an Image/Frame within 1 second, usually FPS is more widely used in filmmaking, animation, CGI (Computer Generated Imagery). ) and games. However, many problems in installing games do not pay attention to hardware specifications, especially storage (memory) and RAM, this is very influential for game quality, therefore a decision support system is made using the K-Nearest Neighbor (KNN) method. The purpose of this study is to produce a recommendation for selecting FPS games using the K-Nearest Neighbor method according to the specifications according to the wishes of the players.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122550341","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 Pendukung Keputusan Pemilihan Smartphone Bekas Menerapkan Metode SAW","authors":"Frendiza Nawandi, Azzam Muzhaffar, Muhammad Ramadhika Putra Tamtomo, Resad Setyadi","doi":"10.47065/josh.v4i2.2741","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2741","url":null,"abstract":"The selection of used Smartphones made by buyers sometimes confuses prospective buyers of what used Smartphones to buy according to the desired criteria. Based on this, in this study a decision support system was built that was used to carry out the process of selecting used smartphones that matched the criteria, namely price, camera, RAM, internal memory, processor, battery, and weight. The decision-making method used is the Simple Additive Weighting (SAW) method. This method is used to determine the weight value of each criterion, which is then carried out a ranking process to determine alternative used Smartphones. The results of this study are to explain the results of the stages of calculating the alternative value criteria in the implementation of the Program which has been carried out based on manual calculations and explaining that the calculation can produce the final stage where the alternative smartphone used MI 10t Pro has a ranking number 1 and has the same value as manual calculations, namely 91.1. With a decision support system that uses the SAW method, (Simple Additive Weighting), it can help consumers choose used cellphones based on predetermined criteria.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131132489","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":"Pengklasterisasian Data Penyakit Hipertensi dengan Menggunakan Metode K-Means","authors":"Fitria Rahmadayanti, Indah Anggraini, T. Susanti","doi":"10.47065/josh.v4i2.2905","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2905","url":null,"abstract":"The increasing number and variety of diseases suffered by the community due to lifestyle changes that are influenced by the progress of the times. Periodic disease data collection will increase the accumulation of data. This is often an error in the data search process so that it takes a long time to search the data. This study focuses on data collection on hypertension and aims to cluster the data. The method used in this study is CRISP-DM with a business understanding process, data understanding, data preparation, modeling, evaluation and deployment. The algorithm used in this clustering is the K-Means algorithm. The results of this study resulted in 2 clusters, namely cluster 0 Normal and cluster 1 Hypertension. The results of this study can provide information about the results of 2 clusters, namely cluster 0 Normal and cluster 1 Hypertension","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114517665","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 E-Learning Management System Untuk Tingkat Sekolah Dasar Berbasis Website dengan Metode Agile","authors":"E. Putra, Agung Triayudi, A. Iskandar","doi":"10.47065/josh.v4i2.2972","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2972","url":null,"abstract":"Information Technology has played an important role as a medium of information and communication in the field of education, one of which is in the Academic Management of Schools. In the world of educational technology it is not only related to the internet but can also be seen from the system or how to teach in schools. At present, the learning process using E-learning can be interactive so that students are able to interact with technology as a learning medium. Web-based learning media (e-learning) is a web that can help educators in the rapidly developing era of information and communication technology development. In this research, the problem that arises in the school environment is that there is no special place for students and teachers to be organized in obtaining learning materials and collecting assignments, documentation of knowledge of learning materials that are not stored properly, so it takes a long time to find the required knowledge back. Therefore used data collection methods, namely the method of observation, interview methods (interviews), and literature study. The Agile method is the most appropriate method used to design this system with the aim that the author can help ease the task of students and teachers in carrying out their duties. The results achieved in making the e-learning application at SDN Tengah 01 KramatJati are that students can understand material without a time limit, consult, take quizzes, upload assignments and can immediately see their learning results in person, while teachers can upload material, create questions and give them directly live.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114502488","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":"Penerapan Algoritma Knuth-Morris-Pratt Dalam Sistem Jasa Konsultan berbasis Mobile dan Web","authors":"Kristian Telaumbanua, F. Damanik, M. Ilhami, Erlanie Sufarnap","doi":"10.47065/josh.v4i2.2981","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2981","url":null,"abstract":"With the increasing of human life aspects, various applications for online consulting service providers have emerged with different fields and backgrounds. To assist the process of selecting consultants according to the preferences of certain users, a consultant search system that covers several consulting areas at once is implemented, which aims to make it easier for users to find consultants that suit their needs. Knuth-Morris-Pratt is a string matching algorithm whose search is based on text and patterns, KMP is used to find where a pattern is found in a collection of other strings with a larger size, this algorithm is also include as one of the fastest and has a small complexity. In this final project, an overview of the application and feature testing using black-box testing will be presented, along with a comparison of the Knuth-Morris-Pratt search algorithm with other search algorithms. The system development methodology used is the waterfall methodology. The results of this final project can be concluded that the application of the Knuth-Morris-Pratt algorithm on mobile and web-based consulting services search applications can assist clients in providing better and more efficient searches.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116683036","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":"Implementasi Metode Weighted Product dan SMART Dalam Menentukan Lokasi Usaha Strategis Bagi Pelaku UMKM","authors":"Agung Triayudi, Muhammad Faizal, Rima Tamara Aldisa","doi":"10.47065/josh.v4i2.2947","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2947","url":null,"abstract":"In the business world, choosing the right business location is one of the main things that must be considered, the problem that occurs is choosing a business location that is not right for the business actors themselves. Therefore, an application is needed that helps business actors to determine the location. strategic for the business they are involved in. In this research, a decision support system application was made to make it easier for business actors to determine the location according to the criteria. Decision support applications are considered effective enough to create a ranking in determining strategic locations for business actors. The Weighted Product and SMART methods using 7 alternative data shows that the two methods produce data that is accurate and suitable when applied as a ranking for selecting business locations. The 2 methods have an elective execution score and the results of the weight values applied to each technique.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115400783","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}