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INDONESIA
Jurnal Infra
Published by Universitas Kristen Petra Surabaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
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Articles 54 Documents
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Search results for , issue "Vol 9, No 2 (2021)" : 54 Documents clear
Pembuatan Konfigurasi SSL yang Aman untuk Diimplementasikan pada Apache dan Nginx Eka Wijaya Budihardjo; Lily Puspa Dewi; Agustinus Noertjahyana
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

Exploitation of a web server is a form of behavior of someone who takes advantage of a software vulnerability or security weakness. Exploitation of the web server can be in the form of Zombie Poodle, Golden Doodle, Poodle, and others. In addition, there are also man-in-the-middle-attacks such as protocol downgrade attacks and cookie hijacking. Therefore, this study aims to examine a web server based on SSL configuration and provide suggestions for a better and more secure SSL configuration. Testing in this study uses a program called SSLyze and this research produces a detailed report that can help to configure SSL on the Apache web server and Nginx web server properly and correctly in order to prevent further attacks. In addition to increasing security on the web server , using the right SSL configuration can make web server performance become optimal. The test results show that implementing the tested SSL configuration has a good level of security so that it can prevent security problems on the web server and can make web server performance become more optimal and efficient.
Deteksi Tingkat Kesegaran Ikan Menggunakan Metode Convolutional Neural Network Dengan Parameter Mata dan Warna Insang Michael Christiawan; Leo Willyanto Santoso; Djoni Haryadi Setiabudi
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

The sea resources of Indonesia are very abundant. According to Indonesia Central Bureau of Statistics, in 2017, there are 16.114.991 tons of farmed fish production [2] and 7.361.116 tons of catch fish production in 2018 [3]. But sometimes when it’s already delivered, the freshness level is already decreasing, so we need a tool or an app to determine the level of fish freshness. Navotas, et al. [6] research use Artificial Neural Network to determine the fish freshness from 3 kind of fish. They got more than 90% accuracy. But they use a tool to take fish eye and gill picture. They also not classifying what kind of fish that is being detected.In this research, Convolutional Neural Network (CNN) is used for fish and freshness classification from 4 kind of fish. Detectron2 model is used to detect the fish eye position. Masking is used for detecting the gill. The picture taken with smartphone camera only.The CNN model is already succeed in classifying the fresh and stale fish eye, except for the grouper fish, so the accuracy is 75%. But the CNN model isn't good enough to classify the fresh and stale gills, because there is only a slight difference between the fresh, quite fresh, and stale gills. The accuracy for gill freshness model is 25%.
Penerapan Segmentasi Pelanggan dengan Menggunakan Metode K-Means Clustering Pada Sistem Customer Relationship Management di PT. Titess Michael Boentarman; Silvia Rostianingsih; Alexander Setiawan
Jurnal Infra Vol 9, No 2 (2021)
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PT. Titess is a consumer good company with a variety of products such as consumption salt, packaged cooking oil, soap, sugar and so on. Currently PT. Titess has distributors whose role is to market products directly to consumers. With the aim of increasing sales at each distributor, PT. Titess provides special treatment. Special treatment is given manually for certain distributors. This is felt to be less than optimal, because the special treatment given is not right on target for each distributor who has the most sold superior product types. Therefore, we need a distributor segmentation system using the K-means method referring to sales history data. The proposed system also has features that can help distributors to place orders independently, confirm payments, submit returns, submit complaints and exchange reward points for prizes that can be arranged by the company. The results of the system have been tested for system acceptance using a questionnaire that was distributed to 5 users. The results of the system acceptance test show the distributor's satisfaction level with the system. Distributors feel the convenience and benefits of the system.
Aplikasi Human Resource Information System dengan Fitur Sistem Pendukung Keputusan (Studi Kasus PT. Industri Kreatif Digital) Cynthia Stefanie Suriady; Lily Puspa Dewi; Alexander Setiawan
Jurnal Infra Vol 9, No 2 (2021)
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PT. Industri Kreatif Digital is a service company providing services for cloud hosting, VPS, and website creation. Right now, data processing for human resources still has a lot of weaknesses. One of these weaknesses is that the company still does manual work to register, payroll, collect absence, and recruitment of workers that can cause inaccuracies in processing information. PT. IKADA needs a Human Resource Information System (HRIS) that can provide simultaneous and easy processing of workers data to produce accurate and quick results. HRIS is equipped with a Decision Support System that can give out recommendations for prospective workers, promotions, and Mikrotik training for workers.In this thesis an HRIS has been designed and equipped with a few modules including personalia, recruitment, payroll, absence, evaluation, and reporting module. The Decision Support System itself uses the PIPRECIA method in calculating the weight of each criterion and uses the EDAS method in the ranking process. The system created was website-based that uses PHP framework Laravel, Javascript, HTML, and MySQL database.The result of this research is a system that can help HRD in processing workers data such as data about workers leave and overtime, recruitment, payroll, absence, workers evaluation, and reporting. On the other hand, the Decision Support System was able to provide recommendations for prospective workers, promotions, and Mikrotik training for workers based on its calculations.
Penerapan Modified ADASYN untuk Meningkatkan Akurasi Pendeteksian Pola Fraud pada Transaksi Kartu Kredit Ebhen Haezer Sitohang; Djoni Haryadi Setiabudi; Stephanus Antonius Ananda
Jurnal Infra Vol 9, No 2 (2021)
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One of the most influential factors in accuracy is class imbalance, this is reviewed in a study conducted by Gameng et al. (2019). In the study of Bagga et al. (2020), the Pipelining method combined with ADASYN the accuracy can reach 0.99999. The problem in this study is that accuracy may not necessarily reach 0.99999 if using a dataset outside the dataset they are using and if using a Classificationnn algorithm other than pipelining. In a study conducted by Dornadula & Geetha (2019), the highest accuracy was only 0.9994. In the research conducted by Makki et al. (2019), the Classificationnn model that uses the class balancing method has lower accuracy.In this thesis, Modified ADASYN is used because in the research of Gameng et al. (2019) its accuracy, precision and f1-score surpassed ADASYN and SMOTE. Pipelining method is used because in the study of Bagga et al. (2020), Pipelining can make Classificationnn accuracy up to 0.99999.As a result of testing, this thesis concludes that Modified ADASYN has not been able to obtain an accuracy of 0.999999 on two different datasets. In this thesis, Modified ADASYN is able to increase the accuracy of K-NN to 0.9995148 and 0.97617554 using the first and second datasets. Modified ADASYN can outperform SMOTE, ADASYN, One-Class Classificationnn and Cost Sensitive. In this thesis, it is found that the optimal K value in Modified ADASYN can vary depending on many parameters and sample data.
Sistem Rekomendasi Tempat Makan Wilayah Solo Raya Berbasis Web dengan User Based Collaborative Filtering Menggunakan Fuzzy Conditional Probability Relation Christian Suryadi; Rolly Intan; Hans Juwiantho
Jurnal Infra Vol 9, No 2 (2021)
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Recommendation system is a system used to predict an object for users in the form of useful information based on the rating value. Recommendation system can be applied for food places. The method commonly used for recommendation system is User-Based Collaborative Filtering. This method is a technique used to predict an item that the user likes based on the same rating, by means of user to user.This study uses User-Based Collaborative Filtering method using Fuzzy Conditional Probability Relation to perform calculations between users. Testing is done by calculating the accuracy of the recommendations generated by the system for users. The survey will be used to find the accuracy value of the method.The results of this study is the accuracy values from the User-Based Collaborative Filtering method using Fuzzy Conditional Probability Relation. Based on the survey results, the accuracy obtained is 62.78%, the accuracy using a rating limit of 2 is 47%, with a rating limit of 3 is 69%, and with a limit of 4 is 83%. From the results of this accuracy, we can summarize that User-Based Collaborative Filtering using Fuzzy Conditional Probability Relation can produce results that are quite good and satisfactory to provide recommendations.
Push Notification Pada Sistem Penjualan Tiket Workshop dan Event Menggunakan Firebase Cloud Messaging Berbasis Progressive Web Application Nirwan Jaya Suwarno; Justinus Andjarwirawan; Agustinus Noertjahyana
Jurnal Infra Vol 9, No 2 (2021)
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The use of website technology in the ticket sales system is the rightstep to improve the company's business processes. The use of thewebsite can have a great impact on the buyers and sellers of tickets,namely with the existence of a website information will be easilyaccessible. However, after successfully carrying out the process ofbuying and selling tickets through the website, the seller needs quitea lot of time or has not been effective in communicating with thebuyers. This problem occurs because buyers use variouscommunication, so the sellers need to use sundry applications toreach all buyers.This ineffective way of communicating can be solved by embeddinga feature on the website, namely push notifications. Seller can usepush notifications to send broadcast messages to their buyerswithout missing anything. All buyers can be reached easily becausepush notifications are embedded directly in the application so thatbuyers do not need to install other applications to communicatewith sellers.The results showed that the ticket sales system with pushnotifications succeeded in increasing the effectiveness decrease thetime of using the application to send messages by 38.4% comparedto using external applications.
Rendering Karakter 3D Virtual secara Real-Time menggunakan Metode Light Estimation pada Augmented Reality Berbasis Lokasi Kevin Kevin; Liliana Liliana; Kartika Gunadi
Jurnal Infra Vol 9, No 2 (2021)
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Augmented reality applications are already widely available on mobile devices, but most augmented reality applications assume that light source always comes from above the object and its direction is always downwards so that the shadow is always right under the object, therefore a method is needed to estimate light so that the direction of shadow produced is more realistic, but can still be run on mobile devices.To answer the problem, light estimation method is used in real-time rendering of AR applications on mobile devices so that the shadow direction from virtual objects rendering is parallel and in the same direction as the shadow direction of real objects in their environment, but still uses resources that can be used on mobile devices.Results in this study indicate that the direction of shadow produced by light estimation method in indoor environment is quite accurate (about 33°) and light enough to be used on mobile devices, because the difference in FPS and RAM usage is almost the same as the usage of application without the use of light estimation method, although there is an increase in CPU and battery usage, it's small enough to still work on a mobile device.
Chatbot untuk Website Utama UK Petra dengan Hidden Markov Model dan k-Nearest Neighbor untuk Generate Jawaban Kevin Koesoemo; Alexander Setiawan; Indar Sugiarto
Jurnal Infra Vol 9, No 2 (2021)
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Petra Christian University has various services for general information about university majors and student admissions, such as social media and WhatsApp. However, these services still limited by number and working time of operators as human. Therefore, with this chatbot, information about PCU can be found anytime. Chatbot Study by S. C. P & Afrianto needs method to match chatbot question with the dataset. This thesis uses two methods, namely kNN (k-Nearest Neighbor) and HMM (Hidden Markov Model) to solve these problem. In this chatbot, it will try to combine and compare these two methods, and see if it can produces answers that can be understood and in accordance with various difficulty questions given. The kNN is used as a classification for questions given to chatbot which approximately match with questions on the chatbot’s knowledge base. HMM is used to assemble answer words from the selected knowledge base. Chatbot’s answers will be tested in terms of validity of the answers by two respondents (Public Relation and Admission staff) also the length of time it takes to produce answers. The results of the chatbot with kNN has an accuracy of 64.44% (45 questions), with average system runtime of 0.08 seconds. While the results of chatbot with kNN-HMM produces random and irregular answers, with average system runtime of 0.12 seconds, cause by HMM which is a probability based method.
Pembuatan Aplikasi Mobile Augmentative and Alternative Communication "BerKata" dengan Menggunakan Text to Speech untuk Membantu Komunikasi Anak Penyandang Autisme Evandruce Filbert; Rolly Intan; Henry Novianus Palit
Jurnal Infra Vol 9, No 2 (2021)
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Children with autism who lack verbal communication skills often confuse their parents for knowing what their wants are conveniently. It takes extra effort for their parents to understand them, especially with their unclear pronunciations. Their inability to conveniently understand what is kept in their minds may affect their emotions. The children easily experience mood swings, and their parents struggle to identify their children’s needs. All of these struggles can be supported with the Augmentative and Alternative Communication (AAC) with Picture Exchange Communication System (PECS) module. With PECS, children with autism will be able to learn how to converse their needs through image media. Therefore, their parents can easily understand what they want to say. With all the problems, this research presents an AAC mobile application with PECS module called “BerKata”. The result of this research is that “BerKata” may develop children with autism’s speech ability, to decrease their anxiousness and help gaining their confidence, if only their parents consistently use it. Keep in mind to achieve the goal, requires consistency of habituation from children, parents and the people around and not an instant result.

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