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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
 98   99   100   101   102 
Prediksi Skor Pertandingan Sepak Bola menggunakan Neuroevolution of Augmenting Topologies dan Backpropagation Welly Winata; Lily Puspa Dewi; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

Football, or soccer is the most popular sport in the world. Whatmakes football special is the uncertainty and unpredictable result.There are a lot of factors that can affect the result of a footballmatch, such as strategy, skill, or even luck. Therefore, predictingthe outcome of football match can be challenging yet interestingtask.This research started with neuroevolution of augmentingtopologies, which useful to find the structur of a neural network.Then, the network produced by NEAT is optimized usingbackpropagation. Player ratings, team ratings, and playerposition are used as features of neural network.The hightest accuracies achieved are 81.5% on the final resultpredicting, and 48% on score predicting, were obtained throughNEAT network that optimized by backpropagation, with playerratings, team ratings, and total position from each sectors areused as features.However, on real life test, the player and team ratings areunknown. To calculate the player and team ratings, averagesmethods are used. Unfortunately, the network performed poorlycausing the accuracies to dropped significantly. Lack ofconsistency from player ratings are believed to be the mainproblem on calculating the player and team ratings.
Perancangan dan Pembuatan Media Interaktif Fisika Suhu dan Kalor Bagi Anak SMP kelas VII Berbasis Android Tjio Roy Abrianto Suciono; Gregorius Satia Budhi; Silvia Rostianingsih
Jurnal Infra Vol 4, No 1 (2016)
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Abstract

At this modern age, interactive media program is already widely used for learning. Making the interactive media program aims to make students learn more class VII although not in school hours. This is done so that the students of class VII, can make a more effective and less confused in school learning at the temperature and heat chapter. The program used is Unity using the programming language C sharp.In the interactive media program there are 5 material ie shops, schools, parks schools, offices, and homes. Every material has a different learning but still in the learning of temperature and heat. Exam contained in the interactive media program includes a wide thermometer, temperature formula, formula substances expansion, expansion events, and heat transfer. The material has been taken through the stages of an interview with a teacher of Physics.Based on the results of the questionnaire, 55% expressed the view on a good program, 75% said that the storyline in targeted programs, 76.25% stated that the program is easy to play, 80% stated that the program is easy to understand, and 85% stating that the program as a whole can help understanding the physics lesson.
Klasifikasi Genre Musik Menggunakan Metode Deep Learning Convolutional Neural Network dan Mel- Spektrogram Danny Lionel; Rudy Adipranata; Endang Setyati
Jurnal Infra Vol 7, No 1 (2019)
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Abstract

Pertumbuhan  database  musik  yang  berkembang  secara  sangat pesat  menyebabkan  sukarnya  proses  pengelompokkan  musik dalam kategori tertentu, sehingga dapat berakibat sulitnya pencarian suatu kategori musik dalam jumlah banyak dan skala yang besar. Dengan perkembangan jaman, sekarang telah mulai dikembangkan metode agar suatu audio file dapat dikenali secara otomatis dari fitur-fitur yang telah diekstrak sebelumnya dengan bantuan MFCC (Mel Frequency Cepstral Coefficients) dan ANN (Artificial Neural Network). Dalam penelitian  ini akan digunakan metode Mel-spectrogram. Dimana Mel spektrogram merupakan hasil pemetaan fitur yang telah diambil oleh metode MFCC, yang akan diklasifikasikan dan dimasukkan kedalan Convolutional Neural Network. Yang akan dibedakan activation function nya yaitu ReLU dan ELU. Penelitian ini menunjukkan bahwa pengambilan fitur dari audio dengan menggunakan MFCC merupakan metode yang benar, dan dalam hasil pengujian, banyaknya dataset, iterasi  training, dan spesifikasi  komputer  sangat  mempengaruhi  tingkat  akurasi dan lama pembuatan neural network model yang optimal. Dalam hasil penelitian ini telah diuji beberapa kali didapatkan hasil akurasi yang paling optimal yaitu 99%.
Perancangan dan Pembuatan Website E-Commerce Penjualan Kue Kering pada UD. Pawon Kue Surabaya Nararindra Inggitasukma; Djoni Haryadi Setiabudi; Silvia Rostianingsih
Jurnal Infra Vol 5, No 2 (2017)
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Abstract

Website e-commerce is the purchase and sale, marketing and services and delivery of products, services and information on the Internet and other networks, between companies networked with customers, suppliers, and other business partners through the website. This website is made for customers who stay away from UD. Pawon Kue Surabaya to see the product catalog, and make any product purchase transaction anytime and anywhere.In the website there are several features that can make easy for customers at UD. Pawon Kue Surabaya in making a purchase transaction. This application is created using the programming language HTML, PHP, JavaScript, and MySQL database. Web view using Bootstrap template.The final result of this website creation can search the list of products quickly, can make purchase transactions easily, and can know the status of the order easily. Owners can also view important reports such as income statements, sales reports, and product stock reports.
Analisis Kinerja Genetic Algorithm yang diakselerasi untuk Travelling Salesman Problem pada Platform Multicore CPU dan CUDA Alexander Thomas Kurniawan Pratomo; Henry Novianus Palit; Darian Gunamardi
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

Advancement in technology brings about both new challenges and opportunities. One of which is the opportunity to accelerate an algorithm which usually took a very long time to finish. Genetic algorithm is one such algorithm that can be accelerated using these advancements. Certain ways to accelerate this algorithm is done by tuning the parameters, but these methods are usually unable to retain the quality that is obtained from previous, non-accelerated method. This research applies parallel computing using the multicore technology of CPU and GPU to accelerate genetic algorithm without any changes to the parameters. The purpose of the research is to analyze the differences in performance of the algorithm upon being accelerated with the technologies. The technologies used are CUDA platform and OpenMP API for GPU and CPU respectively. Aside from the technology itself, choosing the algorithm segments on which the implementation is done will also greatly affect the performance of the algorithm. According the testing results, Genetic Algorithm can be accelerated with parallelization using either OpenMP with CPU or CUDA with GPU.
Perancangan Aplikasi Sistem Informasi Administrasi pada Toko Gloria Comp dengan Metode FIFO Rendy Hardiawan; Djoni Haryadi Setiabudi
Jurnal Infra Vol 5, No 2 (2017)
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Abstract

Effectivity and efeciency is one of the most needed factory by human, it is because of their growing activity to do their business. This is surely increase the human needs of more effective and efficient technology. There are so many business that have already harness the technology advances, it can be clarified from the business transaction that arecomputerised. Because technology usage can help business to work effectively and effecintly. From the background above Gloria Comp Shop tried to improve ther effectiveness and effciency from their business process by making a web application. Hopefully, this website could ease the administration process that are happening in Gloria Comp Shop. All the feature such as purchase, sale, and report can be accessed from one system so it will decrease the human error risk. From the conducted research, administration web application built already fulfill the basic needs of the user. User canfeel the effectiveness and afficiency in the Gloria Comp Shop administration data processing process.
Menggunakan SPADE Algorithm Untuk Sistem Rekomendasi Film Aldy Noah; Rolly Intan; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

Nowadays, internet has become main thing in everyday life. This cause the consumption of entertainment media can be done anywhere and everywhere. One of the entertainments we enjoy is movie. With the increasing popularity of streaming media, movie fans also increase.Because of the increase of movie fans, the need of recommendation system that can recommend movie to its user also rise. System recommendation for movie is a complicated thing because of considerable amount of movie and movie fans.Sequence pattern mining is one of data mining method that can be used to gain frequent pattern from a set of data. Frequent pattern is a series of items that forms a pattern in a set of data. SPADE is one of the methods to find frequent sequence. The advantage of using SPADE is that speed in which SPADE can find frequent sequence in a data set. The benefit of using SPADE algorithm is in the speed of the algorithm to find frequent sequence. The resulting frequent sequence then can be used as a basis for recommendation to the user.
Aplikasi Interaktif Mengenai Semut Jepang Sebagai Obat Alternatif berbasis Flash Yan Ivan Handana Putra; Leo Willyanto Santoso; Andreas Handojo
Jurnal Infra Vol 4, No 1 (2016)
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Abstract

Healthiness is one of great treasure for human. we all love and seek healthiness. but sometimes we have no power against illness, we have no money for all the medical treatment. one of the way to cure illness is through alternative treatment.This application will show an alternative treatment with a tutorial to consume japanese ant with measure table for some illness, and a tutorial to raise japanese ant. There is also mini game to relieve your boredom.From many testimonies by friends and family, japanese ant can really cure some illness. This method can be used for people who don’t have enough money to afford medical treatment.
Sistem Informasi Manajemen Pekerjaan Panel Listrik Berbasis Web di PT. Yoel Tricitra Krisna Wahyudi; Lily Puspa Dewi; Adi Wibowo
Jurnal Infra Vol 5, No 1 (2017)
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Abstract

Currently, PT. Yoel Tricitra record information in Microsoft Excel and journal book for any of their works. This may causes many work meeting which should be done for integrating company information. Beside that, without use system information, data accuration processes in PT. Yoel Tricitra are not well because many factor like human error.This Application is created using HTML, PHP, JavaScript programming language, and MySQL database. Application interface is created using template of SBAdmin with Bootstrap. Exporting file to PDF feature is created using template of fpdf181.The final result of this application development is integration of company information like notes of project order, engineer’s design, works schedule, company resources information, and company reports. Users can also see some important information of company through notification in home page of their priviledge like job order and work deadlines.
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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Abstract

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%.

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