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All Journal Jurnal Infra
Rudy Adipranata
Program Studi Informatika
Computer Science & IT

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Implementasi Ethereum Claims Registry pada Ethereum Blockchain untuk Verifikasi Transaksi Konten Fotografi dengan InterPlanetary File System Reyner Reyner; Rudy Adipranata; Leo Willyanto Santoso
Jurnal Infra Vol 9, No 2 (2021)
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Nowadays, photography often receives a lot of attention from diverse backgrounds. Photography can be used to capture important moments as well as then digitally encased and stored into a storage unit. Typically, photography content is stored on servers, but there are threats in centralized storage like malware attacks, hardware failures and human errors. In the study, Ethereum Claims Registry will be implemented on smart contracts to verify certain attributes about its user which are stored in Ethereum Blockchain, so that users can either issue or retrieve existing claims. Then implementation of the interplanetary file system as a website storage and photography content. Website and Photography Content which are stored on InterPlanetary File System can be accessed globally without centralized storage and do not incur additional fees on ethereum transactions because they are stored off-chain or stored outside the blockchain. Based on the results of the tests that have been carried out, the implementation of the Ethereum Claims Registry and the InterPlanetary File System as a storage for photography content for high gas price requires 0.020518 ETH, medium gas price requires 0.010747 ETH, and low gas requires prices 0.004885 ETH. Then the implementation of the Ethereum Claims Registry obtained 1% ether efficiency on deploying smart contracts, -0.4% on make claims, and -0.4% on set claims
Penerapan IoT dan Sistem Pakar untuk Memonitoring Kualitas Air dan Mendiagnosa Penyakit pada Tambak Udang Vaname Kevin Alexander Harianto; Rudy Adipranata; Leo Willyanto Santoso
Jurnal Infra Vol 9, No 2 (2021)
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Shrimp’s death is one of the things that is avoided by Vaname shrimp farmers. Where this can occur due to poort water conditions, or the way farmer maintain their shrimp.The problem that the author wants to solve is by utilizing an application that functions to see the condition of water quality using internet of things and using an expert system with the forward chaining method to diagnose if there are symptoms that arise in shrimp.Based on the test that have been carried out, the application made is able to monitor water quality properly and the results of the method test are able eto reach an accuracy value of 100%.
Penerapan Metode Klasifikasi C4.5 dalam Pembuatan Website Identifikasi untuk Prediksi Kredibilitas Akun pada Media Sosial Instagram Yonas Christianto; Rolly Intan; Rudy Adipranata
Jurnal Infra Vol 9, No 2 (2021)
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Instagram is one of the biggest social media platforms nowadays. As one of the biggest platforms, there’s also a lot of people who makes this platform become unhealthy social media environment, by making fake or spam accounts. This is the problem that the author is trying to solve. By developing a website that people can use to gain information about the credibility of an Instagram account, so users can interact with the target accounts safely and comfortably. The method used to predict the credibility is C4.5 classification which produce decision rules. This decision rules will be used to predict the credibility of an Instagram account. Based on the test that have been carried out, the website can be used to determine the credibility of an Instagram account and the result of the classification method reached to 97,07%.
Klasifikasi Artikel Berita Bahasa Indonesia Dengan Naive Bayes Classifier Anthony Setiawan; Leo Willyanto Santoso; Rudy Adipranata
Jurnal Infra Vol 8, No 1 (2020)
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Human access to latest news now becoming more easier and much more, caused by advanced technological development in latest years. But, the article categorization is still manually inserted by the writer, so sometimes by human error, some mistake can be happening, like inserting wrong category or sometimes the writer purposely insert wrong category just because that category is so popular just to boost his viewer count. That’s why there is an application in the form of website to automatically categorizing the article that fit mostly to their its category.This application is using N-Gram feature and Naïve Bayes Classifier method to classifying news content. N-Gram feature is a feature that group words based on the amount of N, like unigram or bigram. Naïve Bayes Classifier is a method that using probability to solve some problem.According to the test using Naïve Bayes Classifier, in dataset training and test with ratio of 50 : 50, at unigram section the correct accuracy result are 0.901,  and the bigram result are 0.508. In dataset ratio of 60 : 40, at unigram section the correct accuracy result are 0.904, and the bigram result are 0.498. In dataset ratio of 70 : 30, at unigram section the correct accuracy result are 0.947, and the bigram result are 0.519. In dataset ratio of 80 : 20, at unigram section the correct accuracy result are 0.887, and the bigram result are 0.507. So, the conclusion is dataset training and test with ratio of 70 : 30 yield highest accuracy, in unigram (0.947) and also bigram (0.519).
Aplikasi Pengenalan Plat Nomor Kendaraan Negara Indonesia Menggunakan Metode Support Vector Machine (SVM) Timothy Tamara; Rudy Adipranata; Rolly Intan
Jurnal Infra Vol 7, No 2 (2019)
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The license plate recognition system is one of the techniques of licence plate data handling through the use of image processing. This research is divided into two parts, namely the methods of training and the license plate recognition using SVM classification. The early image processing involves the preprocessing stage continued by locating the license plate and segmenting every character on it. The segmented characters will be processed further with SVM. Test results show a success where the accuracy rate of the plate recognition reaches 79.64%.
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.
Pengelolaan Keuangan Pribadi yang Interaktif Berbasis Android Giovanni Christian Antonio; Rolly Intan; Rudy Adipranata
Jurnal Infra Vol 9, No 2 (2021)
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Technology is currently growing. Many people use smartphones in everyday life, especially Android. In Android, there are many applications that help make everyday life easier for example, applications that help with personal finance. The problem that the author wants to solve is personal finance applications between applications with different features and completeness for recording. In solving this problem, the author adds features from existing personal finance applications such as speech to text for input, recurring transactions, and calculating installments whether you can pay in installments or not. Based on the results of the tests that have been carried out, the application made is successful in recording finances and adding good features such as speech to text, recurring transactions, and calculating installments by looking at income and expenses. The results of the questionnaire show an average of 4.54 for interactive personal financial management applications.
Pemanfaatan Teknologi Cubeacon Sebagai Media Informasi Di UK Petra Yosua Umbu Datu Kadiwanu; Alexander Setiawan; Rudy Adipranata
Jurnal Infra Vol 8, No 2 (2020)
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Along with the development of technology today, the communication media is switching from conventional media to new media. Although in the transition to new media, users still miss some of the information that has been given in the form of a handbook containing important information, and still questioning to others to obtain information. To overcome this, Cubeacon technology is used to help maximize the dissemination of information by sending information to the user when the user approaches or is around the beacon coverage by utilizing the Bluetooth signal emitted by the beaconCubeacon is a device that communicates with smartphone using Bluetooth signals. With Bluetooth Low Energy based wireless technology that sends bluetooth signals continuously containing minor and major values from Cubeacon, the smartphone will provide information based on what stored in the database.The test results indicate that the beacon placement can affect the quality of the emitted signal. This application can be used by users to find information from beacons within the reach of a smartphone.
Sistem Pembacaan Kode Pos yang Terintegrasi dengan Pencarian Alamat pada OpenStreetMap Adrian Evan; Leo Willyanto Santoso; Rudy Adipranata
Jurnal Infra Vol 8, No 1 (2020)
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Postal code consist of sequential data which refers to a certain address in detail to their smallest form such as rural areas that are seperated by its own respective digits except the tiniest rurals. On the contrary, these pieces of data cannot be used conveniently on map database due to its thorough categorization and filtering process. Some of them may uncorrelated and may cause misunderstanding as of commonly existing digital maps merely processing longitude, latitude, also address data to city level simply using plain text.To solve the database system and postal data system disjoint problem, these two separate yet potentially powerful systems has to be integrated. With the continuous web development and securer HTTPS protocol into practice, also putting Progressive Web Apps into consideration, these core address finding functionsnamely geocoding, geolocation, also reverse geocoding majorly functions optimally without any need to concern users’ convenience on using this merged system at any sort.Test results conclude that this merged system has been significantly improving location finding accuracy, as long as the system works within the right hands. Basic knowledges of mapping system and GIS are inevitably mandatory to unleash existing maps capability of location finding into deeper levels. This will operates even optimally when the postal data system are wholefully implemented into the querying process, in addition to another smart features, such as shortest/fastest route tracking also traffic/riot detection into play.
Implementasi Pengendalian Inventory Pada PT.X Kevin Joshua Harianto; Yulia Yulia; Rudy Adipranata
Jurnal Infra Vol 9, No 2 (2021)
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Inventory control is a process to ensure the amount of supply available in a business process. Inventory control can help prevent losses in managing raw materials and also setting up the warehouse system at PT.X. Based on the problems that occur at PT.X, a method that can be systemized with warehouse systems and production results is needed, with the aim of finding the average of sales per day and month which is useful for re-ordering, and also for analyzing so that there is no stockout. Reports for each transaction period can be viewed on the system in accordance with the recording of transaction data. The data used in calculating the Economic Order Quantity and Reorder Point are transactions from 2019 at the warehouse of PT. X.
Co-Authors Adrian Evan Alexander Setiawan Andreas Prasetyo Anthony Setiawan Antonius Wibisono Artono Ivan Chandra Calvin Vionaldy Tjiandra David Christ Antono Giovanni Christian Antonio Handy Prayoga Angjaya Hendry Gozali Henry Novianus Palit Indar Sugiarto Justinus Andjarwirawan Kartika Gunadi Kevin Alexander Harianto Kevin Joshua Harianto Leo Willyanto Santoso Lily Puspa Dewi Reyner Reyner Rolly Intan Timothy Tamara Yonas Christianto Yosua Umbu Datu Kadiwanu Yulia Yulia