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INDONESIA
Jurnal Ilmu Komputer
Published by Universitas Udayana
ISSN : 19795661     EISSN : 2622321X     DOI : -
Core Subject : Science, Education,
Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science
JIK is a peer-reviewed scientific journal published by Informatics Department, Faculty of Mathematics and Natural Science, Udayana University which has been published since 2008. The aim of this journal is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of computer science. JIK is consistently published two times a year in April and September. This journal covers original article in computer science that has not been published. The article can be research papers, research findings, review articles, analysis and recent applications in computer science.
Arjuna Subject : -
Articles 189 Documents
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Perbandingan Performa Routing Protocol antara Mixed Routing Protocol dengan Single Routing Protocol pada Aplikasi VoIP Menggunakan Riverbed Modeler Academic Edition 17.5 Dewa Nyoman Suartama Ariawan; Gede Saindra Santyadiputra; I Ketut Resika Arthana
Jurnal Ilmu Komputer Vol 14 No 1 (2021): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2021.v14.i01.p02

Abstract

VoIP is a communication technology device that is used by companies and homes to communicate. So far, there are several shortcomings of VoIP that may impact the real conditions in the field, so it is necessary to have a combination of routing protocols that can cover the shortcomings of both the VoIP application and the routing protocol. This study aims to conduct a comparative study of the performance of mixed routing protocols with single routing and to test IPv4 and IPv6 using semi-mesh topology and mesh wireless network topology in VoIP applications. This study uses the OPNET Riverbed Modeler Academic Edition 17.5 simulation method with a design and analysis model that includes the stages of create network model,modeling, application, profile and failure / recovery configuration, choose statistics, run simulation, view and analyze the results. The results showed that the combination of EIGRP-IGRP-ISIS-OSPF-RIPv2 and RIPv2-ISIS-EIGRP provided good research results and covered the weaknesses of RIPv2, IS-IS and EIGRP compared to single routing protocols, both in semi-mesh and wireless mesh topologies. network.mixed routing protocol. The addition of the variance of the comparison between IPv4 and IPv6 based on a single routing protocol also shows significant results, where both IPv4 and IPv6 in the semi-mesh topology and the mesh wireless network are in a range partly in good and very good ranges with the rest being sufficient, bad and very bad.
Implementasi Sistem Surveillance Berbasis Pengenalan Wajah pada STMIK STIKOM Indonesia I Nyoman Tri Anindia Putra; Evi Dwi Krisna
Jurnal Ilmu Komputer Vol 13 No 2 (2020): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2020.v13.i02.p01

Abstract

Sistem pengenalan wajah manusia merupakan salah satu bidang yang cukup berkembang dewasa ini, dimana aplikasi dapat diterapkan dalam bidang keamanan (security system) seperti ijin akses masuk ruangan, pengawasan lokasi (surveillance), maupun pencarian identitas individu pada database kepolisian. Penelitian ini bermaksud untuk merancang bangun sistem surveillance berbasis pengenalan wajah dengan menggunakan metode pengenalan wajah yang berfokus pada jarak dan akurasi dari pendeteksian wajah melalui kamera yang dapat dikenali melalui metode haarcascade classifier. Hasil dari penelitian dengan menggunakan metode tersebut memperoleh rata rata deteksi wajah dengan jarak maksimal adalah 3 meter dari kamera. Sedangkan hasil untuk akurasi pengenalan wajah dengan metode eigenface dan haarcascade classifier masing masing memperoleh akurasi 1 meter sebesar 87%, 2 meter sebesar 83%, dan 3 meter sebesar 63%.
User Loyalty Prediction Using Naive Bayes Method in "Udatari" an art Performance Marketplace Ngurah Agus Sanjaya ER; I Gusti Agung Gede Arya Kadyanan
Jurnal Ilmu Komputer Vol 14 No 1 (2021): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2021.v14.i01.p07

Abstract

Udatari is the first traditional dance platform in Indonesia which provides information about traditional events such as, dance tutorials, group dancer and dance attributes. The tight competition in the startup world, requires Udatari as a new startup to manage application users optimally. Knowing loyal users will help startups determine the right marketing strategy. In this study, the method used for clustering is the K-Means method where this method seeks to classify existing data into several groups provided that the data in one group have the same characteristics as each other. The model used for the clustering process is RFM, namely recency, frequency and monetary. The purpose of this clustering is to get the segmentation of users who have different Customer Lifetime Value. The second method for conducting classification is the Naïve Bayes method, where this method predicts future opportunities based on past experiences. The purpose of this classification is to predict new users into the user segmentation obtained from the clustering results. From the results of this study, the optimum k value for K-Means are 3 clusters with the largest CLV value in the second cluster where testing on this method uses the Silhouette Index. Furthermore, for the test results of the Naïve Bayes method, the average accuracy value is 97.44% where the accuracy of each class is 92.31% for cluster 0 (first cluster), 100% for the second cluster and 100% for the third cluster. Keywords: K-Means, Naïve Bayes, Loyalty, Segmentation, RFM
Klasterisasi Data Travel Umroh di Marketplace Umroh.com Menggunakan Metode K-Means Mas'ud Hermansyah; Rifky Aditia Hamdan; Fazar Sidik; Arief Wibowo
Jurnal Ilmu Komputer Vol 13 No 2 (2020): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2020.v13.i02.p06

Abstract

Perjalanan wisata religi khususnya untuk ibadah umroh semakin diminati masyarakat. Umroh.com adalah jembatan antara calon jamaah umroh dengan travel umroh untuk bertransaksi didalam persiapan perjalanan ibadah umroh. Umroh.com sebuah perusajaan berbentuk marketplace dengan menawarkan produk paket umroh dan menyediakan travel umroh lebih dari 60 travel umroh terpercaya di Indonesia dengan izin resmi Kementrian Agama. Untuk dapat melakukan persaingan antar travel umroh, masing-masing travel membutuhkan strategi-strategi penjualan untuk dapat menarik minat calon jamaah umroh dan meningkatkan laba atau pendapatan perusahaan travel. Pada penelitian ini analisis data mining dilakukan dengan Teknik Clustering menggunakan metode K-Means. Hasil akhir dari penelitian ini adalah mengelompokkan data travel yang terdaftar di Umroh.com untuk mengetahui data travel yang memiliki potensi atau kecenderungan calon jamaah umroh dalam memilih travel umroh tersebut. Hasil penelitian menunjukkan bahwa pemodelan K-Means dengan jumlah klaster sebanyak 5 klaster memiliki nilai DBI terkecil yaitu sebesar 0,134. Kata Kunci: Klasterisasi, Travel Umroh, Marketplace, K-Means, Davies Bouldin Index
Impact of Machine Learning Applications For Price Prediction Of Onion In India Sayed Mannan Ahmad; Ankush Kumar Gaur; Anil Kumar
Jurnal Ilmu Komputer Vol 14 No 1 (2021): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2021.v14.i01.p04

Abstract

Conceptual India is one of the second-biggest maker of onion on the planet. Onion is the most extravagant wellspring of nutrients and cell reinforcements. Furthermore, it contains malignant growth battling mixes, assists with keeping up heart more advantageous and lifts the bone thickness, additionally controls the glucose. Natural just as Climate changes sway on the rural economy of any nation. The creation of onion typically relies upon factors like science, atmosphere, economy, and topography, these elements impact on agriculture. It is been recorded that significant expense chance in the horticulture part constantly bound ranchers to endeavor suicide. The value figures are helpful for homesteads, policymakers, and agribusiness ventures. Utilizing time arrangement information in horticulture, nonstop endeavors are made by the analysts to foresee the costs utilizing different straight and nonlinear anticipating models. These days, Artificial knowledge/Machine learning models are utilized as traditional measurable models in the gauging exercise. Utilizing AI strategies in this way, utilizing authentic cost and information factors. Henceforth this exploration will assume a significant job to anticipate the cost of onion. Just as help to agriculturists to turn out to be financially well and has a more advantageous existence.
Ensiklopedia Digital Interaktif Songket Palembang Berbasis Mobile Device untuk Siswa Jenjang SMP Intan Permata Sari; Fahmi Candra Permana; Feri Hidayatullah Firmansyah
Jurnal Ilmu Komputer Vol 13 No 2 (2020): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2020.v13.i02.p02

Abstract

Songket Palembang merupakan salah satu wastra Indonesia yang kaya akan keanekaragaman hiasnya. Songket Palembang tidak hanya memiliki makna estetis, ada kandungan nilai filosofis dan makna yang sangat dalam untuk setiap helai kain songket, terutama pada songket yang diproduksi diawal-awal kemunculannya. Seiring dengan perkembangan songket tersebut, saat ini terdapat beberapa songket yang tidak memenuhi aturan dalam struktur motifnya, sehingga sulit membedakan motif-motif songket. Apabila hal ini dibiarkan saja, maka lama kelamaan satu per satu nilai dan makna dari wastra Indonesia akan hilang beriringan dengan deras arus globalisasi saat ini. Selain itu, bayaknya ragam hias yang dimiliki songket Palembang namun tidak diiringi dengan minat generasi muda untuk mengetahui ragam hias tradisional. Dalam rangka memperkuat identitas bangsa, perlunya upaya dan tindakan untuk melindungi dan melestarikan budaya Indonesia kepada generasi muda, terutama pada remaja. Penelitian ini menggunakan pendekatan metode Design and Development Research (D&D). Perancangan aplikasi diadaptasikan berdasarkan karakteristik remaja, sehingga remaja dapat lebih tertarik untuk mengenal dan mulai menyukai kain tradisional. Dengan adanya ensiklopedia digital interaktif ragam hias songket Palembang ini siswa dapat lebih memotivasi siswa dalam mengenal konten tradisional Indonesia.
c Jurnal Ilmu Komputer I Gede Santi Astawa
Jurnal Ilmu Komputer Vol 14 No 1 (2021): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

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Perancangan Database dalam Sistem Pembelajaran Matematika Dasar Berbasis Konsep Guru dengan Peta Pikir Luh Putu Ida Harini; I Gede Santi Astawa
Jurnal Ilmu Komputer Vol 13 No 2 (2020): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2020.v13.i02.p07

Abstract

The basic concept of mathematics is a mathematical material that is very important to be mastered by students. One of the efforts to increase student understanding is the creation of a computer-based learning system that is able to provide material according to student understanding. Research on the use of mind maps in developing the concept of learning mathematics by teachers in increasing student understanding makes the background for research on the use of mind maps as a reference for making this computer-based learning system. From the results of the preliminary research that has been done, it can be concluded that the use of the concept of mind maps as a method of helping student learning has gone well according to user needs. And from the results of small scale testing by 10 teachers, the results obtained 75% of respondents rated the prototype "Very Good" and 25% rated "Good" Keywords: mind map, learning, computer-based systems
Analisis Perubahan Ukuran Citra Medis Menggunakan Algoritma Interpolasi Bikubik Bambang Krismono Triwijoyo; Ahmat Adil
Jurnal Ilmu Komputer Vol 14 No 1 (2021): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2021.v14.i01.p03

Abstract

Image interpolation is the most basic requirement for many image processing tasks such as medical image processing. Image interpolation is a technique used in resizing an image. To change the image size, each pixel in the new image must be remapped to a location in the old image to calculate the new pixel value. There are many algorithms available for determining the new pixel value, most of which involve some form of interpolation between the closest pixels in the old image. In this paper, we use the Bicubic interpolation algorithm to change the size of medical images from the Messidor dataset and then analyze it by measuring it using three parameters Mean Square Error (MSE), Root Mean Squared Error (RMSE), and Peak Signal-to-Noise Ratio (PSNR), and compare the results with Bilinear and Nearest-neighbor algorithms. The results showed that the Bicubic algorithm is better than Bilinear and Nearest-neighbor and the larger the image dimensions are resized, the higher the degree of similarity to the original image, but the level of computation complexity also increases.
Implementation and Analysis of Social Network Graph in Interpersonal Network Akshay Tripathi; Ankush Kumar Gaur; Sweta Sri
Jurnal Ilmu Komputer Vol 13 No 2 (2020): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2020.v13.i02.p03

Abstract

Social graph describes the graphical model of users and how they are related to each other online. Social network consists of a set of nodes (sometimes referred to as actors or vertices in graph theory) connected via some type of relations which are known as edges. Actors are the smallest unit of the network. It can be Persons, Organizations, and Families etc. Relations can be of many types such as directed, undirected, and weighted. Social network analysis consists of two phases. One is data collection phase and another is analysis phase. Data is collected with the help of surveys, Social sites such as face book, LinkedIn. We first input the user information in form of two dimensional matrices. Then we construct a graph based on the relationships among users from adjacency matrix. We can draw a directed graph or a simple graph based on the user input information from adjacency matrix. After analyzing the graph properties based on degree of node, centrality and other parameters we will give effective solution. There are many applications of analyzing social network for example examine a network of farm animals, to analyze how disease spread from one cow to another, discover emergent communities of interest among faculty at various universities, Some public sector uses include development of leader engagement strategies, analysis of individual and group engagement and media use, and community-based problem solving etc. Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on the relationships among social entities and is an important addition to standard social and behavioral research which is primarily concerned with attributes of the social units.

Page 13 of 19 | Total Record : 189

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