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(JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
Published by Universitas Udayana
ISSN : 23015373     EISSN : 26545101     DOI : https://doi.org/10.24843/JLK
Core Subject : Science,
Computer Science & IT
Aim and Scope: JELIKU publishes original papers in the field of computer science, but not limited to, the following scope: Computer Science, Computer Engineering, and Informatics Computer Architecture Parallel and Distributed Computer Computer Network Embedded System Human—Computer Interaction Virtual/Augmented Reality Computer Security Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods) Programming (Programming Methodology and Paradigm) Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data) Network Traffic Modeling Performance Modeling Computer Security IT Governance Networking Technology Robotic Instrumentation Information Search Engine Multimedia Security Information Retrieval Mobile Processing Natural Language Processing Artificial intelligence & soft computing and their applications Neural networks Machine Learning Reasoning and evolution Intelligence applications Computer vision and speech understanding Multimedia and cognitive informatics Data mining and machine learning tools, heuristic and AI planning strategies and tools, computational theories of learning
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 488 Documents
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ENKRIPSI DAN DEKRIPSI AUDIO FORMAT AMR DENGAN ALGORITMA KRIPTOGRAFI LOKI97 Adhika, A.A.Ngurah Pradnya
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Volume 1 No 1 - Agustus 2012
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Algoritma kriptografi LOKI97 merupakan algoritma block cipher pada kriptografi yang digunakan untuk mengamankan data dengan cara menyandikan data. Algoritma LOKI97 termasuk dalam kandidat Advanced Encryption Standard (AES) yang diajukan kepada National Institute of Standards and Technology (NIST). Proses yang dilakukan dalam penyandian datanya, yaitu proses enkripsi dan dekripsi. Algoritma LOKI97 melakukan proses enkripsi dan dekripsi data 128 bit. Kunci yang digunakan bisa sepanjang 128, 192, atau 256 bit. Untuk memudahkan penggunaan algoritma LOKI97 maka dibuat suatu aplikasi algoritma LOKI97 dengan bahasa pemrograman Delphi 7.0 yang dapat mengenkripsi dan mendekripsi file audio yang berformat AMR. Berdasarkan pengujian yang dilakukan dengan RMS (Root Mean Square) dapat disimpulkan bahwa algoritma kriptografi LOKI97 dapat digunakan untuk melakukan enkripsi pada audio format AMR sehingga kerahasiaan data menjadi aman. Disamping itu aplikasi ini juga mampu mengembalikan hasil enkripsi audio format AMR.
Analisis Pengaruh Unit Hidden Layer terhadap Prediksi Jantung Koroner Menggunakan Algoritma Radial Basis Functions Semara Wijaya, I Gede Bagus; Astuti, Luh Gede
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 9 No 2 (2020): JELIKU Volume 9 No 2, November 2020
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2020.v09.i02.p17

Abstract

Heart disease is a disease that occurs due to disturbances in the heart, especially when pumping blood so that it can cause death. Nearly half of deaths in the United States and other developed countries are caused by heart disease. Therefore, an early prognosis of heart disease is needed to prevent the risk of coronary heart disease. One thing that can be done is to predict coronary heart disease sufferers using the neural network method. This study conducted an analysis of the effect of hidden layer units on the neural network radial basis functions algorithm to predict coronary heart disease sufferers. This study obtained the highest accuracy at 10 hidden layers, namely 85.08%.
INDEPENDENT COMPONENT ANALYSIS (ICA) DAN SPARSE COMPONENT ANALYSIS (SCA) DALAM PEMISAHAN VOKAL DAN INSTRUMEN PADA SENI GEGUNTANGAN Putra, Angga Pramana; Wiantari, Ni Wayan; Novita Dewi, Putu Mira; Bayu Atmaja Darmawan, I Dewa Made
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 8 No 1 (2019): JELIKU Volume 8 No 1, Agustus 2019
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2019.v08.i01.p13

Abstract

Geguntangan adalah pesantian dalam upacara keagamaan yang diiringi dengan gamelan. Indra pendengaran manusia cenderung memiliki keterbatasan, yang menyebabkan tidak semua vokal yang tercampur dengan gamelan bisa didengar jelas. Oleh karena itu diperlukan suatu sistem yang dapat digunakan untuk memisahkan vokal dengan gamelan pada geguntangan. Pemisahan sumber suara ini dikategorikan sebagai Blind Source Separation (BSS) atau disebut juga Blind Signal Separation yang artinya sumber tidak dikenal. Algoritma yang digunakan untuk menangani BSS adalah algoritma Independent Component Analysis (ICA) dan Sparse Component Analysis (SCA) dengan berfokus pada pemisahan sinyal suara pada file suara berformat *.wav. Algoritma SCA dan ICA digunakan untuk proses pemisahan suara dengan parameter nilai yang digunakan adalah Mean Square Error (MSE) dan Signalto Interference Ratio(SIR). Dari hasil simulasi menunjukkan Hasil perhitungan MSE dan SIR dengan dengan menggunakan mixing matriks [0.3816, 0.8678], [0.8534, -0.5853] didapatkan untuk metode ICA nilai MSE sebesar 4.169380402433175 x 10-6 untuk instrumennya dan 2.884749383815846 x 10-5 untuk vokalnya dan didapatkan nilai SIR sebesar 53.79928479270223 untuk instrumennya dan 45.39891910741724 untuk vokalnya. Selanjutnya untuk metode SCA, nilai MSE sebesar 3.382207103335018 x 10-5 untuk instrumennya dan 3.099942460987607 x 10-5 untuk vokalnya dan didapatkan nilai SIR sebesar 44.707998026869014 untuk instrumennya dan 45.08646367168143 untuk vokalnya.
JELIKU Front Cover Volume 7 No 3, 2019 Mastrika, Vida
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 7 No 3 (2019): JELIKU Volume 7 No 3, Februari 2019
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

PERANCANGAN SISTEM SIMULASI ANTRIAN KENDARAAN BERMOTOR PADA STASIUN PENGISIAN BAHAN-BAKAR UMUM (SPBU) MENGGUNAKAN METODE DISTRIBUSI EKSPONENSIAL STUDI KASUS : SPBU SUNSET ROAD Vero Wahyudi, Gustri; Sinulingga, Sahmanbanta; Firdaus, Fachrosi
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Volume 1 No 2 - Nopember 2012
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Peningkatan jumlah kendaraan bermotor (roda empat keatas) yang signifikan membuatpihak SPBU harus bisa meningkatkan pelayanan terhadap customer, sehingga antrian panjangtidak terjadi disaat customer melakukan transaksi pembelian bahan bakar, akan tetapi efisiensidari segala aspek baik itu dari segi pompa (server), maupun operator tetap dijaga.Metode yang digunakan untuk menghitung waktu antar kedatangan dan waktu pelayanansetiap pelanggan atau pembeli yang dilayani oleh operator pada tiap pompa (server) adalahDistribusi Eksponensial karena distribusi ini lebih mendekati pendekatan yang lebih konstandaripada distribusi normal.Berdasarkan sistem simulasi yang dibangun diperoleh hasil bahwa dengan adanya 3pompa (server) pada SPBU Sunset Road peluang terjadinya antrian panjang bisa diminimalkan.
Case Based Reasoning And Naive Bayes Implementation In Laptop Purchasing Recommender System Dharmawangsa, I Gusti Ngurah Agung; Supriana, I Wayan
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 9 No 3 (2021): JELIKU Volume 9 No 3, Februari 2021
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2021.v09.i03.p13

Abstract

Purchasing a new laptop will be difficult if we do not know what the ideal laptop specification for our needs. Especially with a wide selection of laptops. From this problem, system that can give a recommendation to choose the right laptop based on purchaser’s specification choice is needed. This research using two method, Case Based Reasoning and Naive Bayes. The concept of Case Based Reasoning is the process of solving new problems based on the solutions of similar past problems, While Naive Bayes assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature. Naive bayes will be implemented in retrive process of case based reasoning. The recommender system utilizing 7 feature, Kecepatan Processor, Kapasitas Ram, Tipe Grafis, Ukuran Layar, Ukuran Harddisk, Kecepatan Layar, and Harga. The percentage of respondents who said the system was successful in providing the right recommendations was 70 percent of the total respondents.
Voice Classification Based on Gender Using Backpropagation and K-Means Clustering Algorithm Khatami, Maula; Gede Suhartana, I Ketut
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 8 No 3 (2020): JELIKU Volume 8 No 3, February 2020
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2020.v08.i03.p08

Abstract

Sound is the identity of all living creature, including Humans. With voice we can do socialize, call people, ask questions, communicate, and even be able to help us to recognize the sex of the person who makes the sound. Nowadays, knowing gender through sound cannot only be done by humans but through a computer. Voice classification using a computer shows increasingly sophisticated technology. Of course this technological advance can also help in terms of security, where the voice can be a key or password in a certain confidentiality. In this study the focus of sound recordings is classified according to the sex of men and women by using the Backpropagation algorithm for training data, then Mel Frequency Cepstral Coefficients (MFCC) will process sound data and get features, and the K-Means Clustering algorithm will classify sound data already processed. The dataset used here is in the form of male and female voice recordings obtained from YouTube videos that have been separated by video sections. There are each 10 male and female voice files for training. As for testing, there are several male and female voice files that are placed in separate folders.
Perancangan Aplikasi Pengenalan Logo Universitas Menggunakan Metode Template Matching Pradana Putra, Gevin Janitto; Cahyadi Putra, I Gusti Ngurah Anom
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 9 No 2 (2020): JELIKU Volume 9 No 2, November 2020
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2020.v09.i02.p08

Abstract

A logo is a special symbol or symbol that represents a company or organization. A logo can be a name, symbol or other graphic element that is displayed visually [1]. All institutions have a logo, especially an educational institution, namely the University, but the university logo is rarely remembered by lecturers, students, or the public. To be able to remind and provide information about the university, the university logo scan application which will later be directed to the university link is considered by the author suitable to be made. This kind of research has been tested with high accuracy but does not use the University logo. This research will utilize Augmented Reality program design with slight modifications and apply the Template Matching method that will be made with the Unity Game Engine and Vuforia SDK. This research was successful as evidenced by the smooth installation of APK and good program performance. In addition, this study obtained 84% accuracy in the detection of markers (logos) which were known by the distance and focus of the camera. This research also gets 100% accuracy in the direction to the intended university link. Keywords: Logo, University, Matching Templates, Vuforia SDK, Unity Game Engine
Analisis dan Implementasi Modul Rekomendasi Fasilitas Kesehatan Terdekat pada Sistem Informasi Dhealth adi saputra, komang cameng; Anom Cahyadi Putra, I Gst Ngurah
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 7 No 3 (2019): JELIKU Volume 7 No 3, Februari 2019
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2019.v07.i03.p03

Abstract

Perkembangan kualitas kesehatan suatu masyarakat tidak bisa terlepas dari ketersediannya fasilitas-fasilitas kesehatan. Dengan perkembangan teknologi kemudahan informasi, administrasi, dan pelayanan membuat fasilitas kesehatan menjadi lebih mudah. Pengembangan aplikasi mobile mempermudah pengguna, untuk mencari informasi mengenai fasilitas kesehatan dan administrasi akan lebih mudah dengan menggunakan aplikasi mobile. Pengembangan aplikasi mobile sendiri dimudahkan dengan penggunaan react native yaitu framework yang digunakan untuk pengembangan aplikasi mobile dengan menggunakan javascript. untuk mengembangkan aplikasi di dua platform yaitu android dan ios dapat dilakukan dalam sekali pengerjaan dengan react native. Penerapan pengembangan modul pencarian rumah sakit terdekat dengan menggunakan react native dapat dikerjakan dengan menggunakan 2 api yaitu geolocation dan Distance Matrix API
Sum of Squared Difference (SSD) Template Matching Testing on Writing Learning Application Sidi, Widya Dharma; Arta Wibawa, I Gede
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 8 No 4 (2020): JELIKU Volume 8 No 4, Mei 2020
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2020.v08.i04.p11

Abstract

Abstract This research was conducted to determine the accuracy of the Sum of Squared Difference (SSD) Template Matching method in the Application of Learning Numbers Writing Games. This game application is an application created to help early childhood in recognizing Arabic numbers, namely numbers from 0 to 9. In the SSD Template Matching method there are several processes including Preprocessing, thinning, feature extraction, and classification (SSD template matching). In testing the game application involves 10 respondents who were asked to write numbers correctly as requested by the application. For each number writing test, it is tested by 3 times. From the tests conducted, obtained an accuracy of 94.67%. Keyword: Template Matching, Sum of Squared Difference (SSD), Education Game, Optical Character Recognition, Mobile Learning

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