cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Gst. Ayu Vida Mastrika Giri
Contact Email
vida@unud.ac.id
Phone
+6285737241069
Journal Mail Official
jeliku@cs.unud.ac.id
Editorial Address
-
Location
Kota denpasar,
Bali
INDONESIA
(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
 24   25   26   27   28 
Klasifikasi Cerita Pendek Berbahasa Bali Berdasarkan Umur Pembaca dengan Metode Naive Bayes
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 10 No 4 (2022): JELIKU Volume 10 No 4, May 2022
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.2022.v10.i04.p06

Abstract

Short stories are short stories that tell an event that has happened in a short and clear way. Parents should be able to choose short stories that are suitable for their children because if the stories that parents bring to children are not in accordance with their age, it can affect the development of children. In this study, we will build a system that can classify text. The method used in this research is Nave Bayes with feature selection, namely Genetic Algorithm. This research was conducted to help parents so that their children do not read short stories that are not appropriate for their age so that they do not interfere with their child's development. The data used are children's short stories, youth short stories and adult short stories in Balinese. The best model performance is generated in the training and validation process using new data. The results of testing the Naïve Bayes method without feature selection are 66% accuracy, 66% precision, 67% recall and 66% F1-score. While the Naïve Bayes method uses feature selection, namely 72% accuracy, 72% precision, 78% recall and 73% F1-score.
Klasifikasi Berita Hoaks Covid-19 Menggunakan Kombinasi Metode K-Nearest Neighbor dan Information Gain
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 10 No 4 (2022): JELIKU Volume 10 No 4, May 2022
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.2022.v10.i04.p02

Abstract

News is one of information resources that is being used by the public. However, not all news circulating in digital media are facts. Some people take the opportunity to share unfounded and irresponsible news. Since the Covid-19 pandemic hit Indonesia, hoax news about the pandemic has increasingly circulated in digital media. In this study, the author builds a model that can classify hoax news using the K-Nearest Neighbor method combined with the Information Gain feature selection. The data used are factual news data and hoax news data in Indonesian language. Evaluation is done by measuring the performance of the K-Nearest Neighbor model without feature selection and model performance by implementing Information Gain feature selection. The K-Nearest Neighbor model without feature selection with a value of k=5 obtained precision, recall, F1-Score, and accuracy performance of 87.5%, 96.5%, 91.8%, and 91.6%, respectively. While the K-Nearest Neighbor model with a combination of 0.5% Information Gain threshold feature selection with a value of k=3 obtained precision, recall, F1-Score, and accuracy performance of 93.3%, 96.6%, 95%, and 95%, respectively.
Cover & Table of Contents JELIKU Vol. 10 No. 4
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 10 No 4 (2022): JELIKU Volume 10 No 4, May 2022
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

Pengembangan Sistem Supply Chain Management Usaha Mikro Kecil dan Menengah (UMKM) di Bali
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 2 (2022): JELIKU Volume 11 No 2, November 2022
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.2022.v11.i02.p23

Abstract

This study aims to develop a supply chain management system, reduce events such as stock accumulation and loss of stock at Besek Bali warehouses. This research is also able to help all SMEs who still calculate everything conventionally to use a supply chain management system. The types of data in this study are quantitative and qualitative data types because they are written data regarding the stock of goods from November to December 2021 from Besek Bali in the form of numbers and the results of interviews with the owner of Besek Bali. The method of collecting data is through the observation method in which data from Besek Bali and interviews will be observed. Research testing is done by observing the data obtained from Besek Bali and the results of interviews with the owner of Besek Bali. After the data is observed to determine the factors causing delays and stock accumulation, a supply chain management system will be made using the prototype method. The system was implemented to help reduce delays and stock accumulation as well as reduce loss of stock in the warehouse
Augmented Reality Kekarangan Bali dengan Natural Feature Tracking
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 2 (2022): JELIKU Volume 11 No 2, November 2022
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.2022.v11.i02.p05

Abstract

The carving art that developed in Bali has very distinctive characteristics and can make Balinese carving easily recognizable, among others, from several combinations of leaf, fruit, and flower motifs in very beautiful convex and concave shapes. Balinese carving is generally divided into three parts, namely Keketusan, Pepatran and Kekarangan. The lack of information about Kekarangan Bali makes people less aware of the forms and meanings contained in the Kekarangan Bali due to the limited distance and time to be able to learn Kekarangan Bali directly. Because of this we need Augmented Reality (AR) as a solution to be used as props in helping to introduce Kekarangan Bali more specifically using the Natural Feature Tracking (NFT) method because it can directly apply feature detection and then give a descriptor at every angle detected on the target image that is visible in the real environment so that the application of Augmented Reality (AR) is not fixated on a predetermined target image to be able to display objects 3D.
Aplikasi Website Pengamanan File Dokumen Menggunakan Kriptografi RSA
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022
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.2022.v11.i01.p04

Abstract

Data security is something that needs to be considered in maintaining the confidentiality of information, especially those that only contain information that can be known by the authorized party. There are still many cases of data leakage that occur in Indonesia, especially in documents. Documents can be secured using cryptographic techniques. One of the well-known cryptography is RSA Cryptography. The security of RSA cryptography lies in the difficulty of factoring large numbers into prime factors. The implementation of RSA cryptography will be made using the python programming language based on the website. The system created has a success rate of 100% in encrypting documents for each document, and in decrypting it has a success rate of 85% to 96%.
Klasifikasi Jurnal menggunakan Metode KNN dengan Mengimplementasikan Perbandingan Seleksi Fitur
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022
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.2022.v11.i01.p18

Abstract

Classification is a process that automatically places text documents into a text based on the content of the text. Classification can help us classify many text documents that have been published, with the classification, these text documents can be reached easily and quickly. Feature selection can be used to improve the performance of text classification in terms of learning speed and effectiveness. In the Chi-Square feature selection experiment, a 1% threshold combination with a parameter value of k=6 is the combination chosen to be the best model. In testing the new data, the K-Nearest Neighbor model by selecting the Chi-Square feature produces precision performance, recall, F1-Score, and accuracy respectively, namely 85%, 83.3%, 88.2%, and 92.3%. In the Gini Index feature selection experiment,1% threshold combination with a parameter value of k=4 is the combination chosen to be the best model. This threshold selects about 31 features with the highest Gini Index value. In testing the new data, the K-Nearest Neighbor model by selecting the Gini Index feature produces precision performance, recall, F1-Score, and accuracy respectively, namely 81.2%, 80.3%, 81.6%, and 86.6%.
Segmentasi Baris Lontar Dengan Metode A * Path Planning
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 2 (2022): JELIKU Volume 11 No 2, November 2022
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.2022.v11.i02.p14

Abstract

Historical documents in the form of ancient manuscripts are one form of the Indonesian nation's cultural heritage that deserves to be important, one of which is Lontar. Currently not many people can read the writings in palm leaves, therefore, ancient manuscript collectors have made efforts to digitize ancient manuscripts. The digitization of ancient manuscripts aims to improve the image quality of ancient manuscripts with the help of computers. Digitization requires an image quality improvement process by performing noise reduction and edge detection and line segmentation on digital images of ancient manuscripts. In this study, the noise reduction process uses the Mean Filter method, edge detection uses the Sobel operator, and line segmentation in this study uses the A * Path Planning Algorithm. Based on research conducted on 24 lontar images, line segmentation process obtained an accuracy of 95%.
Modifikasi Algoritma Ant Colony Optimization Dalam Menentukan Rute Pengisian Mesin ATM
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 2 (2022): JELIKU Volume 11 No 2, November 2022
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.2022.v11.i02.p09

Abstract

The TSP problem is known as a non-deterministic polynomial-hard (NP-Hard) problem. In its solution, TSP can be solved using swarm intelligence algorithms such as Artificial Bee Colony (ABC), Partical Swarm Optimization (PSO), dan Ant Colony Optimization (ACO). In this study, TSP settlement was carried out using the ACO algorithm because the amount of data was less than 80 data. In addition, modifications were made to the ACO algorithm with the aim of optimizing the probability in node selection by put in Fuzzy C-Means algorithm into the ACO algorithm. Based on the result application of the Modified Ant Colony Optimization algorithm, the distance covered is 101.712 Km when the parameter optimization has been carried out, with parameter values alpha = 5, beta = 0, rho = 0.3, number of ants = 31, dan maximum iteration = 100. Where each parameter has its own role, such as the Intensity Controlling Constant (alpha) which makes the ants only care about the pheromone intensity value without caring about the distance value between points so that the diversity of the paths found gets smaller when the value alpha gets bigger, Visibility Controlling Constant (beta) which affects the diversity of routes produced by each ant where when beta = 0 then the route chosen by each ant varies and when beta > 0 has the possibility for the route that has been selected to be re-elected by other ants so that the diversity of routes found getting smaller, while for the Ant Track Control Constant (rho) it has an influence in determining the next destination point when the value of gets bigger. In addition, the Modified Ant Colony Optimization algorithm has the advantage of accelerating convergence in finding the shortest route.
Implementasi Metode K-Nearest Neighbor Dalam Mengklasifikasikan Jenis Suara Berdasarkan Jangkauan Vokal
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022
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.2022.v11.i01.p20

Abstract

Humans have voice characteristics with different vocal ranges, namely the male voice consists of Tenor, Baritone, and Bass, while the female voice consists of Soprano, Mezzosoprano, and Alto. Determining the voice range, especially for a singer, requires a vocal trainer or musical instrument that is quite difficult to access. Therefore, a sound classification system created based on vocal range using the Harmonic Product Spectrum (HPS) feature extraction method and the K-Nearest Neighbors (KNN) classification method uses k parameters from 1 to 40. The test gets the highest accuracy on parameter k=8, which is 88.88%, so that from the resulting accuracy to prove the K-Nearest Neighbor (KNN) method gives good results in classifying the type of voice. Keywords: Classification, Vocal range, Harmonic Product Spectrum, K-Nearest Neighbors

Page 26 of 49 | Total Record : 488

 24   25   26   27   28 

Filter by Year

2012 2024


Reset
Filter By Issues
All Issue Vol 13 No 1 (2024): JELIKU Volume 13 No 1, August 2024 Vol 12 No 4 (2024): JELIKU Volume 12 No 4, May 2024 Vol 12 No 3 (2024): JELIKU Volume 12 No 3, February 2024 Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023 Vol 12 No 1 (2023): JELIKU Volume 12 No 1, August 2023 Vol 11 No 4 (2023): JELIKU Volume 11 No 4, May 2023 Vol 11 No 3 (2023): JELIKU Volume 11 No 3, February 2023 Vol 11 No 2 (2022): JELIKU Volume 11 No 2, November 2022 Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022 Vol 10 No 4 (2022): JELIKU Volume 10 No 4, May 2022 Vol 10 No 3 (2022): JELIKU Volume 10 No 3, February 2022 Vol 10 No 2 (2021): JELIKU Volume 10 No 2, November 2021 Vol 10 No 1 (2021): JELIKU Volume 10 No 1, Agustus 2021 Vol 9 No 4 (2021): JELIKU Volume 9 No 4, Mei 2021 Vol 9 No 3 (2021): JELIKU Volume 9 No 3, Februari 2021 Vol 9 No 2 (2020): JELIKU Volume 9 No 2, November 2020 Vol 9 No 1 (2020): JELIKU Volume 9 No 1, Agustus 2020 Vol 8 No 4 (2020): JELIKU Volume 8 No 4, Mei 2020 Vol 8 No 3 (2020): JELIKU Volume 8 No 3, February 2020 Vol 8 No 2 (2019): Jeliku Volume 8 No 2, November 2019 Vol 8 No 1 (2019): JELIKU Volume 8 No 1, Agustus 2019 Vol 7 No 4 (2019): JELIKU Volume 7 No 4, Mei 2019 Vol 7 No 3 (2019): JELIKU Volume 7 No 3, Februari 2019 Vol 7 No 2 (2018): JELIKU Volume 7 No 2, 2018 Volume 1 No 2 - Nopember 2012 Volume 1 No 1 - Agustus 2012 More Issue