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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 1,326 Documents
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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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Abstract

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
Pengenalan Penyakit pada Tanaman Pokok di Indonesia dengan Metode Convolutional Neural Network Handy Prayoga Angjaya; Kartika Gunadi; Rudy Adipranata
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

In Indonesia, the most consumed staple food is rice, the rice comes from the rice plants, besides rice, there is also cassava and corn plants. The success of harvesting these crops can affect the country's food welfare, but pest and diseases can cause crop failure. Therefore, a program was created to identify diseases in these plants to maximize crop yields. In the process of identifying the disease, the problem that often occurs is the identification of the characteristics of the disease. With the development of technology, disease recognition can be done automatically using a Neural Network. This study uses the Convolutional Neural Network (CNN) method with the Inception v3 architecture. In addition, the model used will be converted using TensorFlow Lite so that it can be used on Android-based smartphone applications. The program results from this study identified diseases in maize, potato, cassava, and rice plants. Based on the tests carried out, an average accuracy value of 90.77% was obtained in testing data test. Testing in the field actually produces an average accuracy of 65.00%.
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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Abstract

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%.
Sistem Penunjang Belanja Pedagang Keliling Di Lokasi Sekitar Menggunakan Haversine Berbasis Android Richard Gozali; Liliana Liliana; Yulia Yulia
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

A traveling merchant is an effort made by a person to sellgoods/services such as vegetables, fruit, and others by travelingto places with certain routes. During this pandemic, some peoplebuy products online because people are afraid to go to placeswith large crowds. This surge in demand has made many peoplelook for sellers of vegetables and fruits. With this research, it canhelp customers to determine the location of the existence oftraveling merchants in the vicinity.By using the haversine formula, you can find out the approximatedistance between the customer and the traveling merchant.During the pandemic and the habit of staying at home, manypeople prefer to cook for themselves compared to buying. It'shard to decide which dish to cook. With the use of beautifulsoup,you can take the recipe menu of the food you want to make.From the results of the survey given to customers and travelingmerchants, it has been shown that the application is made easy touse and the survey results provide a satisfactory value. Based ontesting the distance between haversine and google maps. Theresulting haversine formula is quite accurate when compared togoogle maps. The results of the comparison of the averagedistance produced are 0.315 Km.
Indoor Room Recognition Menggunakan Multiple Instance Learning Convolutional Neural Networks Yehezkiel Wuisang; Djoni Haryadi Setiabudi; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

Environment recognition is a modern problem that appears in this modern era. One of them is how a room’s type can be identified. Indoor room is a very challenging environment to identify because the identity of a room is represented by various types of objects in the room which by itself have various sizes and shapes. With the development of technology, especially machine learning, the type of room can be recognized automatically by a system with the help of Image Processing and Artificial Neural Network. This study uses the Mean-Shift algorithm to segment images and the Convolutional Neural Network (CNN) method assisted by the application of Multiple Instance Learning (MIL) so as to form the Multiple Instance Learning Convolutional Neural Network (MILCNN) method to identify room types. During training and testing, adjustments will be made to the method so that it can be applied in recognizing room types only through image labels without looking for individual object labels on images. This study classifies the room that contains an image by recognizing the features of the objects in it. The final result from testing the dataset produces a classification accuracy percentage that reaches 43.05%.
Aplikasi Segmentasi Pelanggan menggunakan Algoritma RFM/P dan Kmeans Clustering pada PT. XYZ Priscilla Delaya; Andreas Handojo; Alexander Setiawan
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

Customers are one of the keys to the resilience of a business. Each customer has different behavior and needs, so they need different treatment. Intense competition in the retail business makes customers have many choices and can easily switch to other companies. As a solution for PT. XYZ to compete, a customer segmentation system is needed to help PT. XYZ understand and maintain their customer’s loyalty. Therefore, in this study, the RFM/P method was used to calculate customer value, which was then followed by Kmeans clustering to divide customers into three clusters, namely below zeroes, most growable customers, and most valuable customers for each product. The results of the questionnaire evaluation in system testing were carried out on 6 respondents, for application functionality 93% good, application design 90% good, ease of use of application 83% good, application responding to needs 90% good, and overall application 87% good.
PEMBUATAN APLIKASI WEBSITE UNTUK PENYUSUNAN MATERI PELAJARAN SECARA ONLINE Fujianto -; Agustinus Noertjahyana; Andreas Handojo
Jurnal Infra Vol 2, No 1 (2014)
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Abstract

The development of technology, especially the Internet makes information services evolved. With the internet, information can be easily shared and accessed by many people . These developments have broad impact on all sectors , including in the field of education . The use of the Internet can be used as a container for distributing information better lesson.Applications developed using HTML5 with the help of jquery to display on a web browser on a desktop or web browser table . Meanwhile, to beautify the appearance of the website can also use javascript and CSS3 . As for data storage to be able to use a MySql database.Applications website for breastfeeding online course material is used to make subject matter accessible to many people. In addition, by making the delivery of better material information with the video.
Pembuatan Sistem Informasi Akuntansi dan Price Calculator Berdasarkan Job Order Costing di Perusahaan Percetakan UD. Kusuma Tirta Fendy Arya Gunadi; Yulia Yulia; Andy Setiabudi
Jurnal Infra Vol 3, No 2 (2015)
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Abstract

UD.Kusuma Tirta is a company which focused in printing. The company received an order to print receipts, forms, books, brochures, letterhead, business cards, etc. The company has 50-100 transactions in a month, it’s difficult for the company to process the transaction data.Seeing the problems that occur, the solution can be proposed is an accounting information system applications and price calculator to help resolve problems that occur. Application price calculator will help in determining the printing costs. Accounting information system will help company in process transaction data and generate financial reports for the company. This application is made using PHP and use MySQL database.The results to be obtained from applications that have been made is profit income, balance sheet, management report (account payable report, account receiveable report, etc).
PEMBUATAN CERITA RAKYAT INDONESIA MALIN KUNDANG DIGITAL DENGAN 3D MODELING OBJECT BERBASIS ANDROID Erick Setiawan; Liliana -; Djoni Setiabudi
Jurnal Infra Vol 2, No 2 (2014)
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Abstract

The background of digitalizing one of the Indonesian folklores, Malin Kundang in 3D object modeling for Android is to reintroduce the story, which is not as famous as any other fairy tales from other countries. This application is usable for Androids, which have been widely used nowadays. What makes this program different with any similar programs is the using of 3D object digital and its animation, and users can actively run the program and play the story, in which the learning method has been commonly applied for kids these days. This program uses Unity3D as the main software maker. On the other hand, Blender software is used to make the 3D object and its animation. This Blender application is also applied to convert the 3D type to .fbx so that the animation is able to be read and used. To support the 3D object digital, this applications is designed in 3D visual with narrative storyline and mini games. The 3D visualization presents the story in dialogues per scene by using 3D object and its animation, meanwhile the mini games put the story through the culture at that time. The output of this application is to let its users be aware of one of Indonesian cultures, which in this case is Malin Kundang the folklore, in more unique and authentic way.
Pembuatan Game Edukasi Bahasa Inggris Untuk Anak Kelas 1-2 SD Menggunakan Flash Hadi Wijaya Lukito; Kristo Radion Purba; Henry Novianus Palit
Jurnal Infra Vol 3, No 1 (2015)
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Abstract

Elementary school children generally like to play games, as a survey reported that more than a quarter of children around the world have their handheld computers before they reach eight years of age. Children may reason that games can be used as a mean of refreshing when they get bored in study. However, in reality many children play games not useful to improve their knowledge and even become addicted and forget to study.In this manuscript, author make an English educational game targeted for elementary 1-2 school children. Children are expected to enjoy the game while learning English.This application has been reviewed by some elementary school English teachers. They responded that the game’s content matches well with the teaching material taught in their class.

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