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INDONESIA
Jurnal Infra
Published by Universitas Kristen Petra Surabaya
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Core Subject : Science,
Computer Science & IT
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Articles 1,326 Documents
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Sistem Pakar Diagnosa Penyakit Kura – Kura Air Dengan Metode Certainty Factor Berbasis Mobile Zachary Osborn; Kartika Gunadi; Leo Willyanto Santoso
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

Turtle is on of the few animals that many people has interest in for pets,because turtles have this unique and beautiful shells. Turtle usually have a long age, butfor tortoise it is usually longer. In average tortoise can live up to 70 to 100 years. But stillall living things can get sick, including turtles. One of the actions that must be taken by water turtle keepers when their pet is sick is to know the symptoms and disease. Onealternative to find out what diseases our pets have is to go to the vet. But the price that veterinarians offer is relatively inexpensive.This expert system for diagnosis of water turtle disease is equipped with the Certainty Factor method. The usefulness of the Certainty factor method in this program is to display the level of system confidence in the diagnostic results in the form of a percentage. So that later serves to convince users when using this program.Based on the test results, this application can provide solutions that are suitable for diseases associated with symptoms. The results of the comparison between the Certainty Factor method and the Dempster Shafer method also give the same results in cases where the numbers used are the best numbers. The average figure resulting fromthis calculation is 83.6%.
Implementasi Sistem Pakar Deteksi Dini Resiko Penyakit Jantung Koroner Menggunakan Metode Backward Chaining dan Certainty Factor pada Android Andreas Prasetyo; Rudy Adipranata; Indar Sugiarto
Jurnal Infra Vol 9, No 2 (2021)
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Lifestyle in the modern era today can have a harmful impact on ourlives, one of which is coronary heart disease. Coronary heartdisease is the chronic and acute heart's inability to pumpoxygenated blood due to a lack of blood supply in the heart's musclecells.This research, using the backward chaining method, serves to tracethe facts and combine them with hypotheses that can strengthenthose facts. Certainty factor is the method used to measure thecertainty of the facts that have been made and provide results in theform of scoring to determine the level of accuracy of the facts thathave been given by experts.This research will produce an expert-system application that isuseful for early detection of coronary heart disease. Output will bein the form of grouped results, which is the results of a person'spotential risk of coronary heart disease, along with a percentagebased risk potential of developing said disease. It is hoped that thecreation of this system will make it easier for a person to detect thedisease based on daily habits, so it can later be used as the initialdiagnosis whether or not a person has said disease.
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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Abstract

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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Abstract

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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Abstract

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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Abstract

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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Abstract

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.

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