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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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Perencanaan Enterprise Architecture pada Perusahaan Manufaktur Plastik PT. X dengan Metode Enterprise Architecture Planning Wilson Surya Nyoto; Adi Wibowo; Lily Puspa Dewi
Jurnal Infra Vol 4, No 2 (2016)
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Abstract

Plastic manufacturing company PT. X is a company engaged in the production of plastic goods, products such as dvd case or cutlery. Almost all business processes performed by the company are using manual data collection and few are integrated. The company uses Microsoft Office and Accurate but Microsoft Office is not well integrated and part Accurate program does not include all the needs of business processes in the company today. Therefore, an analysis will be formed, with it also a design of enterprise architecture using enterprise architecture planning method for plastic manufacturing company PT. X. The first to be done is to analyze the business model of the company and the company strategies. Then observation of existing information technology in today and see the need in the future for the company. After these things done, one can begin to make the design data architecture, application and technology.
Pengenalan Gambar Botol Plastik dan Kaleng Minuman Menggunakan Metode Convolutional Neural Network Regina Valentina; Silvia Rostianingsih; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

Plastic bottles and cans are anorganic waste that cannot be decomposed by bacteria naturally and take a long time decomposed. Until now, people awareness to care about the environment is still low. Even though waste sorting is very important before the waste recycling process. According to Kediri City Environment, Hygiene and Gardening Agency, waste such as plastic and cans require special treatment for the recycling process. Until now, the process of sorting waste is still done manually by humans. This process require a lot of energy, a long time and still cannot overcome the amount of the waste nowadays.This research uses Convolutional Neural Network (CNN) method for object recognition. There have been other research about the classification of plastic waste. Both of studies only use plastic waste as the object. There is no studies yet about cans waste. Therefore, this research will carried out an introduction to plastic bottles and cans waste.Based on the result of the study, the activation function that suits the case is ELU. While using four convolutional layers, four max pooling layers, and three fully connected layers in total. This study uses 0.00001 for the learning rate, 0.8 for the dropout rate, and 50 times epoch. The result from test that were done by using this CNN model architecture is an accuracy rate of 86%.
Perancangan dan Pembuatan Aplikasi Student Reminder Berbasis Android Robertus Pambudi; Kristo Radion Purba
Jurnal Infra Vol 6, No 2 (2018)
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Abstract

Student Reminder is an android based application. Unlike a reminder in general. And student reminder has a special user that is the student as the main user. Many students have difficulty in managing their college schedule and also the schedule of collecting tasks because of students' ignorance of the schedule of task collection. Most reminder apps need to manually procedure to input user activity schedules because has no feature for perform automatic updates to smartphone google calendar from Petra Christian University database. During this time students still use the manual way to record the schedule by using the agenda book or recorded in the smartphone with the manual. The process of making this application using android studio developer and using java programming language. Android studio is used to create a view on the application, making the function to retrieve data from PHP. And make auto synchronize to google calendar. PHP is used to extract values from a database and display those values in a web view. JSON is used to read data from PHP to java on android. SQL is used to create database tables and their relationships with other tables.From the results of the design and the making of Student Reminder Application can be concluded among others simple applications and easy to use applications, make it easier for students to view the schedule of lectures, and schedule will automatically enter to student’s google calendar smartphones.
Implementasi Tesseract OCR untuk Pembuatan Aplikasi Pengenalan Nota pada Android Yoel Andreas; Kartika Gunadi; Anita Nathania Purbowo
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

The development of a practical era makes humans more inclined to find a fast way to do something. The same thing when we want to record the expenses we have spent in the day, of course it takes time to do it. To solve this problem, you can use the application to read the receipt using the Android device's camera, the application can help to record expenses and categorize their expenses. To achieve this, it is necessary to do Optical Character Recognition which can be done using Tesseract-OCR. The results will be processed to get expenses, categories, and item names. To get maximum results, several stages of pre-processing are needed on the image to be used. The test is carried out with a scenary study and tried several cases, for example notes with dotted fonts, or notes that have many lines. The test results show that the OCR results from the Tesseract are very dependent on the pre-processing stage being carried out. Tesseract itself will experience a decrease in performance when processing images with dotted fonts. If the pre-processing stage cannot unite separate letters due to dots, the tesseract has a very drastic decrease in accuracy. Notes with multiple lines also reduce the performance of the tesseract. The results of the tesseract when conducting Handwritten Character Recognition are also affected by how the handwriting are written, if the handwriting is cursive or not neat, then the tesseract will have difficulty in carrying out the HCR process.
Aplikasi Penentu Pendonor Darah Potensial di Surabaya Menggunakan Support Vector Machine berbasis Android Gita Berliany Karaeng; Andreas Handojo; Anita Nathania Purbowo
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

Blood deficiency will be fatal for human body. However, human cannot create nor made blood, so therefore blood donor event is created to gather blood supplies. Blood donor is a voluntary Activity there is no exact amount of blood supplies to be known or predicted. For now, there are little to no media that help people to access the information around blood donor. That is why we need a system to predict potential amount of blood donors in the future and to provide information about blood donor activities.The application will cover two major thing, administrator website application and Android application for donors. Administrator website will be used to organize blood donor activities data. Android application will be used to provide information about blood donor activities to the user. The system can also predict potential donors using Support Vector Machine.The expected product of the program is a system that manage the blood donor activity. Any information about blood donor will be presented to the donors with the Android application. From the experiment and testing, the system can predict the amount of potential and not potential donors in a specific location at a specific time in a certain period.
Hotel Recommender System Menggunakan Metode Pendekatan Graph pada Dataset Trivago Ricky Sunartio; Henry Novianus Palit; Andre Gunawan
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

Trivago is a global online application that provides service in searching for accomodations based on the user’s destination, and other specific filters such as price range, ratings, and available features. As an accommodation searching app, one of the major challenges that Trivago faces is providing a list of hotels that match the user’s preference, in order to increase the rate at which the user engages in a transaction. Trivago uses a recommender system that can deduce a user’s preference in a session, and displays a number of hotels that are considered suitable for that user. In an attempt to improve the quality of their system, Trivago works together with researchers from TU Wien, Politecnico di Milano, and Karlsruhe Institute of Technology, to conduct RecSys Challenge 2019 as an annual science competition under ACM Recommender Systems Conference.This paper is going to be focused on the use of graph-based models in creating a recommender system using Trivago’s dataset provided in RecSys Challenge 2019. Graph-based models have been proven to be fairly effective in dealing with time series data, as shown in a research that studied online shoppers’ behavior using graphs [3]. Baumann’s research has shown an increase in accuracy by 5 – 10% when using graph features in predicting whether an online shopper would purchase a product as compared to using traditional features.The graph-based model used in this research would be Markov Chain, a probabilistic graphical model. This research would test several Markov Chain models with varying length, depth, and order, measuring each model with a metric called Mean Reciprocal Rank (MRR) as per mentioned in the challenge. At the end of the research, it is concluded that the model that yields the highest MRR uses Markov Chain with length = 1, depth = 0, and order = 1.
Sistem Informasi Administrasi dan Computerized Maintenance Management System pada Perusahaan Persewaan Truk X Vincentius Tandy Prasetyo; Alexander Setiawan; Yulia Yulia
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

PT X is a truck rental service company in Surabaya. The purpose of making a website based administrative information system so that the owner can check and make real-time rental booking transactions, and can generate reports on orders, purchases, inventory, truck repair history are needed for the owner PT. X in making business decisions.Based on the results of this thesis research, it can be concluded that overall this program has fulfilled the needs of PT. X mainly on the function of calculating the cost of orders, updating the price of spare parts on the stock card when purchasing parts, calculating the cost of repairing trucks based on the total price of spare parts used, notifications of repair of periodic oil changes based on kilometers exceeding the next period kilometers.
Sistem Akses Kontrol Laboratorium Menggunakan Kartu Tanda Mahasiswa Alexander Prasetya Widodo; Resmana Lim; Lily Puspa Dewi
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

Attendance procces is a record of presence of student and teacher in a college courses. With this record of presence, the student can figure out how many courses he attented to. Combining technology and presence that currently use in laboratory, the goal is to elevate effectiveness in attendance procces in the laboratory and access to the laboratory and also to make student easier at attendance proccess and also minimalize the mistake that would be happen.Manually record the presence gradually left behind if the process isnt getting update soon. There by, the process need new technology that can make controlling and recording of laboratory use and can also be use to record the attendance for student that has course in that laboratory easier with usage of the device that called Radio Frequency Identification and Detection tag.This access control system of laboratory use Raspberry pi and have website. Access control system of laboratory connect directly with raspberry pi, magnetic door lock, and also rfid tag, making direct access control granted to people that had a right to use that laboratory with student idenfitication card.
Algoritma Branch and Bound untuk Driver Assignment pada Aplikasi Simulasi Taksi Online Arlynston Liadi; Andreas Handojo; Tanti Octavia
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

Online taxi is one of the developments in technology that is currently being used by the wider community. Online taxis also have positive impacts such as drivers and passengers can know each other's location accurately, passengers can see drivers and vehicle information accurately, and passengers can easily find transportation to travel to other places. However, in reality requests from passengers appear randomly in different locations, so we need an application that can optimize the assignment between drivers and passengers..Applications are made with the python, html, and javascript programming languages, with django as a framework, bootstrap 3 for the front end menu, the Google maps API to get time and distance, as well as the front end in the online map section, and mySQL as the database used.The end result of this application is an assignment for drivers and passengers using a web-based branch and bound algorithm that can minimize pickup costs and waiting times by calculating the total combination of mileage, travel time, and the number of trip drivers on an online taxi.
Game RPG Berbasis Jamur Pangan Lauw Hermawan Pratama Lauwoto; Alexander Setiawan; Justinus Andjarwirawan
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

With the development of open-source technology such as Android, it helps new learning media, namely games. Games can be used to introduce something that rarely know such like edible mushrooms. Therefore, so it’s expected that this game can introduce edible  mushrooms.The game application that will be made in the RPG genre runs on the Android operating system with the Java programming language. With the main theme based on edible mushroom,  which all characters in the game are related to edible mushrooms from characters to NPC enemiesThe results of the development of this game show that the game is not only an entertainment media but also can be a medium of learning to get to know something new.

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