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<![CDATA[Penerapan dan Analisis Network Security Snort Menggunakan Intrusion Detection System pada Serangan UDP Flood ]]>
<![CDATA[Karina Fitriwulandari Ilham Ilham]]>;
<![CDATA[Erick Irawadi Alwi]]>;
<![CDATA[Farniwati Fattah]]>
<![CDATA[ INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL) ]]>
Publisher : <![CDATA[Faculty of Computer Science, University of Jember ]]>
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DOI: 10.19184/isj.v8i1.34003
<![CDATA[The web server is one type of server that was most frequently attacked because the web server is the most vital means for storing databases. The most frequently used attack is Denial of Service (DoS). DoS is an attack technique against a system by consuming data resources from a server so that the server cannot be accessed again. Therefore, this study aims to design a network security system by implementing an Intrusion Detection System (IDS) using the Snort application as a detection system in the event of a DoS attack on the web server. by implementing Snort on a web server will help network administrators to ensure that the web server is protected from various threats. The results of this study indicates that the Snort rule that has been created has been successfully detecting attacks that have been tested through the LOIC tools.]]>
<![CDATA[Pengelompokkan Daerah Rawan Bencana di Kabupaten Jember Menggunakan Metode K-Means Clustering ]]>
<![CDATA[Nilam Wahidah]]>;
<![CDATA[Oktalia Juwita]]>;
<![CDATA[Fajrin Nurman Arifin]]>
<![CDATA[ INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL) ]]>
Publisher : <![CDATA[Faculty of Computer Science, University of Jember ]]>
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DOI: 10.19184/isj.v8i1.29542
<![CDATA[This research aims to classify disaster-prone areas in Jember Regency based on disaster-prone index indicators in 31 sub-districts in Jember Regency. The 6 indicators used in this study are the number of disaster events, the number of victims killed, the number of injured victims, the number of damaged houses, the amount of damage to infrastructure and population density. The clustering method used is the K-Means Clustering method. This method is considered quite effective and efficient for grouping large amounts of data. Researchers also used the Davies Bouldin Index (DBI) method to determine the optimal number of clusters (k) used in the clustering process. The results of this study are the optimal number of clusters (k) is k = 3 with the cluster test k = 2 to k = 10, by classifying groups of low vulnerability, medium vulnerability and high vulnerability.]]>
<![CDATA[Pencarian Rute Jasa Pemesanan Penggilingan Padi Berbasis Android Dengan Menggunakan Google Maps ]]>
<![CDATA[Moch Lutfi]]>;
<![CDATA[Elmaida Khoirotuzzuhria]]>
<![CDATA[ INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL) ]]>
Publisher : <![CDATA[Faculty of Computer Science, University of Jember ]]>
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DOI: 10.19184/isj.v8i1.34772
<![CDATA[The location where the rice mill service is located is an important thing for most farmers to improve the quality of rice. Clear information about the rice mill is one of the determining factors in choosing a suitable rice mill. For farmers and people who do not know the surrounding area when they are going to do rice milling, it will be difficult to find the nearest rice mill location. There are several weaknesses when using a manual system, including the information obtained is not in accordance with the expected needs, and the distance traveled requires a relatively long time and relatively large cost. The research conducted by the author is to design an application for ordering rice milling services using the waterfall method and using google maps as a method of finding the closest route. The purpose of the study was to determine the application of google maps to the rice mill ordering application. From the results of system testing using blackbox testing, the results show that the application being tested can run and function as expected. While the results of testing the questionnaire by getting an index of 79.75%.]]>
<![CDATA[User Technology Readiness and Acceptance of Mobile Human Resources Information Application ]]>
<![CDATA[Nia Kurnia Mawaddah]]>;
<![CDATA[Astari Retnowardhani]]>
<![CDATA[ INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL) ]]>
Publisher : <![CDATA[Faculty of Computer Science, University of Jember ]]>
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DOI: 10.19184/isj.v8i1.35540
<![CDATA[The Mobile Human Resource Application was developed to provide convenience for users. However, in the implementation phase, they have not been used by all users. There are several reasons users do not use the application, namely, employees often forget because they are not ready to use new applications, employees often fail to absent because there are some bugs at the beginning of implementation where the support team is not ready to help users and the employees’ insecurity when making a presentation using the face and location. The purpose of this study is to conduct empirical testing of the factors that influence the readiness and acceptance of users of the Mobile Human Resources Application. The Technology Readiness and Acceptance Model (TRAM) integrates technology readiness with technology acceptance into one model. TRAM is used to determine the effect of technology readiness on acceptance of the perceived ease of use factor and perceived usefulness will affect the intention to use. The result of the study showed that the Innovativeness and Perceived Ease of Use significantly influenced user technology readiness and acceptance of mobile human resources information application. Innovativeness dimensions of technology readiness have positive and significant effects on perceived ease of use. Perceived ease of use dimensions of technology acceptance has positive and significant effects on perceived usefulness and intention to use Mobile Human Resources.]]>
<![CDATA[Klasifikasi Penyakit pada Citra Buah Jeruk Menggunakan Convolutional Neural Networks (CNN) dengan Arsitektur Alexnet ]]>
<![CDATA[Dwiretno Istiyadi Swasono]]>;
<![CDATA[Mohammad Abuemas Rizq Wijaya]]>;
<![CDATA[Muhamad Arief Hidayat]]>
<![CDATA[ INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL) ]]>
Publisher : <![CDATA[Faculty of Computer Science, University of Jember ]]>
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DOI: 10.19184/isj.v8i1.38563
<![CDATA[Citrus fruit is a plant that is very susceptible to disease. Diseases that often attack citrus fruits are usually in the form of spots on the fruit. Diagnostics of citrus fruit diseases are usually carried out by experts manually which can cause the results to be subjective. Not all farmers are experts in diagnosing citrus fruit diseases. Therefore, this study proposes a system for diagnosing citrus fruit diseases using computer vision based on deep learning. So that the model can be used on computers with limited resources, this study proposes the Alexnet model, which is relatively light but has proven excellent accuracy in classifying several datasets. The dataset used is citrus fruit disease images of 1790 images which are divided into 4 classes, namely blackspot, canker, grenning, and healthy fruit. The best results achieved with a scenario of 90% training data and 10% validation data are with an accuracy of 94,34%, a precision of 93,0%, a recall of 94,0%, and an F1-score of 95,0%. The best results are obtained with a combination of dropout, batch normalization, and fully-connected layer scenarios in the classifier layers section.]]>
<![CDATA[Peramalan Jumlah Pengunjung Objek Wisata Gumul Paradise Island Kabupaten Kediri Menggunakan Metode Prophet ]]>
<![CDATA[Yudha Alif Auliya]]>;
<![CDATA[Yanuar Nurdiansyah]]>;
<![CDATA[Ari Puji Astuti]]>
<![CDATA[ INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL) ]]>
Publisher : <![CDATA[Faculty of Computer Science, University of Jember ]]>
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DOI: 10.19184/isj.v8i1.35605
<![CDATA[The obstacle most often faced by tourist attractions is related to the variable number of visitors where the number of visitors has decreased due to the co-19 pandemic. This variable number of visitors can be an obstacle for tourist attraction managers to be able to maximize the income earned. This study aims to develop a forecasting system for the number of visitors to Gumul Paradise Island by applying the Prophet Method. The stages of the research include communication, prophet modeling, and evaluation of results. The data used as training data is visitor data from 2012 to 2021. This study used data-filling techniques to fill in the blank training data. The accuracy rate of forecasting the number of visitors is 99.387% in comparing the forecasting results of training data with test data and 90.242% in forecasting results with actual data. This can be interpreted that the forecasting model using the prophet method can predict the number of visitors to the Gumul Paradise Island tourist attraction.]]>
<![CDATA[Pengembangan Game Visual Novel Sebagai Media Pembelajaran Bahasa Inggris Menggunakan Metode ADDIE ]]>
<![CDATA[Geofany Galindra]]>;
<![CDATA[Fahrobby Adnan]]>;
<![CDATA[Januar Adi Putra]]>
<![CDATA[ INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL) ]]>
Publisher : <![CDATA[Faculty of Computer Science, University of Jember ]]>
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DOI: 10.19184/isj.v8i1.31540
<![CDATA[The methods and media that are used in the teaching and learning process are crucial to its success. With the use of suitable learning resources, teachers and students can overcome barriers to learning, enabling students to quickly access and comprehend course material. The survey was conducted in SD Negeri 1 Rogojampi, and the findings revealed that teachers only verbally communicated knowledge to the students while they were learning. With the use of an Android-based Visual Novel Game and the ADDIE method, the researcher hoped to innovate in the development of English learning media. Sixth-grade elementary school students who were randomly selected as respondents during the implementation stage were divided into groups that used learning media and groups that did not. According to the expert validation results, learning media are practicable to use and test on respondents. There were no problems in the learning media during the small group test, allowing it to be continued to the implementation stage or the big group test on research respondents. The respondents are put into two groups for comparison purposes: the group that received learning media and the group that did not. The average comparison value between the groups using learning media and the groups not using learning media differs by 2.9, showing that visual novel learning media is both useful and effective as a learning medium.]]>
<![CDATA[Penentuan Tenaga Kependidikan Berprestasi Dengan Menggunakan Metode Profile Matching ]]>
<![CDATA[Adi Panca Saputra Iskandar]]>;
<![CDATA[Indra Pratistha]]>
<![CDATA[ INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL) ]]>
Publisher : <![CDATA[Faculty of Computer Science, University of Jember ]]>
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DOI: 10.19184/isj.v8i1.32869
<![CDATA[The quality of an educational staff can be seen from the realization of the employee's work targets (SKP) which is supported by the results of the assessment that have been determined by colleagues and the leadership of the education staff itself. The determining factors are work overload which is calculated from (SKP realization value – SKP target value) + attitude behavior value. In this case, after the behavioral assessment at Udayana University is only accumulated in a simple mathematical manner, where colleagues and leaders fill out a satisfaction questionnaire and each question has an assessment, it will be accumulated and taken on average to be accumulated with excess workload. This of course can lead to inappropriate results because the things given are very subjective which results in perfect scores, but not objective, so that it is difficult for HR to determine employees who have the right attitude. Profile Matching is the process of comparing the actual data value of a profile to be assessed with the expected profile value, so that differences in competence (also called GAP) can be known. The smaller the resulting GAP, the greater the weight value. Implementation of Profile Matching on data of outstanding education personnel at Udayana University is carried out by making several aspects such as administration, leadership, and personality as core factors and secondary factors. The results of the implementation at Gambar 8 show that the use of the profile matching method for this case has been successfully implemented, in the implementation of this method it does not assume that the highest value is the best value, but demands that the ideal value used is the maximum value so that expectations do not exceed the ideal value, and changes in the weight of the criteria affect the resulting alternative decisions, so it should be noted that the filling percentage of core factor, secondary factor, and the presentage of aspect needs to be adjusted to the data conditions, to get objective results.]]>
<![CDATA[Model HOT-Fit Pada Analisa Faktor- Faktor Penggunaan E-Commerce Berbasis Android ]]>
<![CDATA[Dewi Lusiana]]>;
<![CDATA[Agung Nilogiri]]>
<![CDATA[ INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL) ]]>
Publisher : <![CDATA[Faculty of Computer Science, University of Jember ]]>
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DOI: 10.19184/isj.v8i1.35096
<![CDATA[E-Commerce is beneficial for micro, small and medium enterprises in selling their products. Initially, sales were only made offline; now, they can be done online. The HOT (Human, Organization, Technology) Fit Evaluation Framework is used to evaluate Android-based micro, small and medium business E-Commerce applications. This study analyzes the effect of service quality on user satisfaction and the effect of user satisfaction and organization on net benefits. It is to provide information about the level of perceptions of Android-based E-Commerce users in its implementation. The results of data analysis were conducted using the Structural Equation Model (SEM). The quality of Service (KL) of Android-based e-commerce significantly affects User Satisfaction (KP). The coefficient value is 0.760, and the CR is 6,780 more than the required critical value of 1.96. It indicates that Service Quality has a significant effect on User Satisfaction. User Satisfaction has a significant effect on Net Benefits. The coefficient value is 0.492, and the CR is 5.511, more than the required critical value of 1.96. It states that User Satisfaction has a significant effect on Net Benefit. Organizational structure has a significant effect on Net Benefit. The coefficient value is 0.547, and the CR of 5.246 is more than the required critical value of 1.96. It means that the Organizational Structure has a significant effect on Net Benefit. TRANSLATE with x English Arabic Hebrew Polish Bulgarian Hindi Portuguese Catalan Hmong Daw Romanian Chinese Simplified Hungarian Russian Chinese Traditional Indonesian Slovak Czech Italian Slovenian Danish Japanese Spanish Dutch Klingon Swedish English Korean Thai Estonian Latvian Turkish Finnish Lithuanian Ukrainian French Malay Urdu German Maltese Vietnamese Greek Norwegian Welsh Haitian Creole Persian // TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster Portal Back //]]>
<![CDATA[Sistem Penentuan Prioritas Penerima Rehab Rumah Dhuafa Menggunakan Metode TOPSIS Berbasis Web ]]>
<![CDATA[Novia Hasdyna]]>;
<![CDATA[Teuku Irfan Fajri]]>;
<![CDATA[Muhammad Jabar]]>
<![CDATA[ INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL) ]]>
Publisher : <![CDATA[Faculty of Computer Science, University of Jember ]]>
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DOI: 10.19184/isj.v8i1.33057
<![CDATA[The process of selecting candidates for home rehabilitation of Dhuafa in Desa Ulee Nyeue, Kec. Banda Baro, Aceh Utara still using a manual process and by a subjective assessment. In this study the authors designed a decision support system to determine the candidates for home rehabilitation of Dhuafa in Desa Ulee Nyeue, Kec. Banda Baro using TOPSIS method. The criteria we used in the decision support system process are the area of the house, house building materials, type of floor, occupation and income. In this decision support system, it is supported by a method in making decisions, that is a web- based Topsis method which can support data processing. The sample data analyzed by using Topsis method in this research obtained that several people who had the priority to receive the housing rehabilitation of dhuafa assistance based on the preference value of each alternative are Fatimah Ben, which has a value of 0.534110001, Habsah with a value of 0.481135666 and Mawardi with a value of 0.629027038. Habsah with a value of 0.481135666 and Mawardi with a value of 0.629027038. The final result of this research is that the system built can help the selection team for home rehabilitation of dhuafa in Desa Ulee Nyeue, Kec. Banda Baro, Aceh Utara to make the process of determining more accurate.]]>
