cover
Contact Name
Hindayati Mustafidah
Contact Email
jurnal.juita@gmail.com
Phone
+6285842817313
Journal Mail Official
jurnal.juita@gmail.com
Editorial Address
Gedung Fakultas Teknik dan Sains Universitas Muhammadiyah Purwokerto Jl. K.H. Ahmad Dahlan, Dukuh Waluh, Kembaran, Banyumas, Central Java, Indonesia
Location
Kab. banyumas,
Jawa tengah
INDONESIA
JUITA : Jurnal Informatika
ISSN : 20869398     EISSN : 25798901     DOI : 10.30595/JUITA
Core Subject : Science,
UITA: Jurnal Informatika is a science journal and informatics field application that presents articles on thoughts and research of the latest developments. JUITA is a journal peer reviewed and open access. JUITA is published by the Informatics Engineering Study Program, Universitas Muhammadiyah Purwokerto. JUITA invites researchers, lecturers, and practitioners worldwide to exchange and advance knowledge in the field of Informatics. Documents submitted must be in Ms format. Word and written according to author guideline. JUITA is published twice a year in May and November. Currently, JUITA has been indexed by Google Scholar, IPI, DOAJ, and has been accredited by SINTA rank 2 through the Decree of the Director-General of Research and Development Strengthening of the Ministry of Research, Technology and Higher Education No. 36/E/KPT/2019. JUITA is intended as a media for informatics research among academics, practitioners, and society in general. JUITA covers the following topics of informatics research: Software engineering Artificial Intelligence Data Mining Computer network Multimedia Management Information System Digital forensics Game
Articles 7 Documents
Search results for , issue "JUITA Vol. 2 Nomor 3, Mei 2013" : 7 Documents clear
Analisis Perbandingan Kecepatan Download pada GSM Sugeng Riyadi; Harjono Harjono
JUITA : Jurnal Informatika JUITA Vol. 2 Nomor 3, Mei 2013
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (244.932 KB) | DOI: 10.30595/juita.v2i3.725

Abstract

In using a product, sometimes people do not really care whether the product is used according to the promotional advertising products, one of which is advertising internet connection service. Internet provider offers many advantages, among which are the product of good data download speeds. This study describes the comparison of the quality of downloaded data using three types of GSM card that is currently widely used by people. Steps being taken in comparing data download speed that is by downloading the data together at the same place and with the same file size. The data taken in this study is the long download process from start to finish downloading. Then performed several tests to determine the speed of the download as well as to determine which card is the fastest to download the data, among other test normality test, homogeneity and different test that includes One Way ANOVA test and Kruskal Wallis test. After testing the parametric and nonparametric known that the card has good speed is of the GSM provider trhree card
Perancangan permainan dakon menggunakan C++ dan GLUT Temia Wahyuningrum
JUITA : Jurnal Informatika JUITA Vol. 2 Nomor 3, Mei 2013
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (287.215 KB) | DOI: 10.30595/juita.v2i3.718

Abstract

Dakon is one of Indonesian traditional game which is now rarely played by children. After long time, this game will be extinct. Whereas traditional game has several advantages including speed and accuracy. Hence came the idea to develop dakon game into a more modern form of the media through the computer. Game designed and built using the language C++ and GLUT as computer graphics. From the results of testing by a team of product developers, game dakon been going well, and have met the criteria of verification testing, validation and exploration
Sistem Penilaian Proposal Penelitian Dosen Universitas Muhammadiyah Purwokerto Berbasis Web Service dengan Android Hananto Adi Nugroho; Tito Pinandita
JUITA : Jurnal Informatika JUITA Vol. 2 Nomor 3, Mei 2013
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (812.291 KB) | DOI: 10.30595/juita.v2i3.728

Abstract

Web Service is an application that is made to be invoked or accessed by other applications via the Internet or intranet by using XML as a messaging format. The reason for the use of the concept of Web services is to create an application that can be accessed through a variety of platforms, programming languages, and operating systems. One platform can implement the Web Service is the Android Operating System Application. Android is an operating system that uses the Linux kernel being owned by Google. The technology allows the computation process can be integrated with a variety of daily activities to reach people who are not confined in one area or an area scope. Application Assessment Proposal is the result of appraisal value proposer faculty research proposals from each of the assessment criteria. Value will be accessible through Android SmartPhone applications that have been installed. The advantages of smartphones is much easier and efficient in accessing
Analisis Motivasi Belajar dan Kehadiran terhadap Nilai Kuliah Mahasiswa Menggunakan Teori Kuantifikasi Fuzzy Septian Ari Wibowo; Hindayati Mustafidah; Agung Purwo Wicaksono; Dwi Aryanto
JUITA : Jurnal Informatika JUITA Vol. 2 Nomor 3, Mei 2013
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.404 KB) | DOI: 10.30595/juita.v2i3.722

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh motivasi belajar dan tingkat kehadiran mahasiswa terhadap nilai mahasiswa pada mahasiswa Universitas Muhammadiyah Purwokerto menggunakan teori kuantifikasi fuzzy. Pengumpulan data dilakukan dengan metode literatur, angket dan dokumentasi. Metode angket digunakan untuk mengetahui berapa besar motivasi belajar terhadap suatu mata kuliah. Metode dokumentasi digunakan untuk memperoleh data kehadiran mahaiswa dan nilai mahasiswa. Hasil dari penelitian ini menunjukkan bahwa terdapat pengaruh antara indikator motivasi terhadap nilai mahasiswa dengan kehadiran lebih dari 11, dan indikator dapat mempertahankan pendapat yang paling berpengaruh, dengan nilai bobot kategori y = 3,5538µ(x) atau 0,2961x dan nilai tambahan konstribusi sebesar 2,5618µ(x) atau 0,2135x terhadap nilai mahasiswa.
Identifikasi Nilai Skala Vertikal pada Interpolasi Fractal yang Memaksimalkan Kualitas Citra Hasil Perbesaran Eddy Maryanto
JUITA : Jurnal Informatika JUITA Vol. 2 Nomor 3, Mei 2013
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (324.44 KB) | DOI: 10.30595/juita.v2i3.723

Abstract

The aim of this research is to investigate the effect of vertical scale value of fractal interpolation to the quality of magnified image resulted. In this research, three groups of rgb image are used, they are of bird, tree, and batik images. The results of the research show that vertical scale value of zero gives the best quality magnified image. The farther the vertical scale value from zero, the worse the quality of the magnified image
Penerapan Jaringan Saraf Tiruan dengan Metode Pembelajaran Backpropagation untuk Mengetahui Tingkat Kualifikasi Calon Siswa pada Sistem Informasi Penerimaan Siswa Baru di MAN 2 Banjarnegara Dany Candra Febrianto; Hindayati Mustafidah
JUITA : Jurnal Informatika JUITA Vol. 2 Nomor 3, Mei 2013
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1140.114 KB) | DOI: 10.30595/juita.v2i3.724

Abstract

The selection process of the new students at Madrasah Aliyah Negeri 2 Banjarnegara aims to get the best prospective students to improve the quality and quantity of the achievement of Madrasah Aliyah Negeri 2 Banjarnegara they needs to know the qualifications of the applicant. To help the school to know the qualifications of prospective students required an application that is able to analyze the ability of prospective students, that will assist the school in predicting the qualifications of prospective students. The application is designed using artificial neural network processing with backpropagation learning algorithm. From the experiments performed 6 times used parameter : target error 0,001, the maximum epoch 10000 and learning rate from 0,3 to 0,8 obtained satisfactory results with 64 kinds of patterns tested system can recognize 100% patterns with MSE smaller than 0,001 and when they tested with 100 students sample data that they got from the documents the school system can recognize 100% of the data. Based on the experimental magnitude of learning rate affects the number of iterations to get the MSE, the greater the learning rate value the smaller value of iterations required to obtain a smaller MSE than the target error
Tingkat Keoptimalan Algoritma Pelatihan pada Jaringan Syaraf Tiruan (Studi Kasus Prediksi Prestasi Belajar Mahasiswa) Hindayati Mustafidah; Dimara Kusuma Hakim; Sigit Sugiyanto
JUITA : Jurnal Informatika JUITA Vol. 2 Nomor 3, Mei 2013
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (275.078 KB) | DOI: 10.30595/juita.v2i3.714

Abstract

Algoritma pelatihan dalam jaringan syaraf tiruan telah diterapkan dalam permasalahan prediksi prestasi belajar mahasiswa Program Studi Teknik Informatika Universitas Muhammadiyah Purwokerto didasarkan atas nilai-nilai dalam mata pelajaran yang diujikan dalam Ujian Nasional saat di SLTA. Algoritma pelatihan yang digunakan adalah traingd, namun algoritma ini belum pernah dibandingkan tingkat keoptimalannya dengan algoritma pelatihan yang lain khususnya dalam kasus ini. Oleh karena itu, dalam penelitian ini dilakukan pembandingan tingkat keoptimalan dari algoritma pelatihan traingd, traingdm, learngd, dan learngdm dalam contoh kasus prediksi prestasi belajar mahasiswa Program Studi Teknik Informatika Universitas Muhammadiyah Purwokerto.Proses penerapan algoritma pelatihan dilakukan dengan pemrograman menggunakan bahasa pemrograman MATLAB. Sedangkan data hasil penerapan algoritma dilakukan uji perbedaanerror yang dihasilkan (uji keoptimalan) menggunakan perangkat lunak SPSS 16.0.Berdasarkan hasil uji statistik dari keempat algoritma diperoleh rata-rata masing-masing algoritma yaitu learngd: 0.0215, learngdm: 0.0163, traingd: 0.0211, dan traingdm: 0.0267. Dengan taraf alpha 5%, diperoleh nilai signifikansi sebesar 0,632. Hasil uji disimpulkanbahwa keempat algoritma pelatihan dengan beberapa parameter jaringan yang meliputi variasi epoh maksimum danlearning rate, tidak memberikan pengaruh terhadap tingkat error yang dihasilkan secara signifikan. Hal ini berarti tidak ada perbedaan tingkat optimalisasi atau keempat algoritma pelatihan memiliki tingkat optimalisasi sama

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