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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
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OPTIMASI JARINGAN SYARAF TIRUAN MENGGUNAKAN ARTIFICIAL BEE COLONY PADA KLASIFIKASI PENGENALAN HURUF Alit Indrawan, I Gusti Ngurah; Widiartha, I Made
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.p13

Abstract

Artificial Neural Networks or commonly abbreviated as ANN is one branch of science from the field of artificial intelligence which is often used to solve various problems in fields that involve grouping and pattern recognition. This research aims to classify Letter Recognition datasets using Artificial Neural Networks which are weighted optimally using the Artificial Bee Colony algorithm. The best classification accuracy results from this study were 92.85% using a combination of 4 hidden layers with each hidden layer containing 10 neurons.
PERANCANGAN POP3 SERVER DENGAN STREAM CONTROL TRANSMISSION PROTOCOL (SCTP) DALAM PROSES PENGUNDUHAN EMAIL Mahardika, I Made Adi
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Volume 1 No 2 - Nopember 2012
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

Email merupakan suatu layanan yang sangat penting bagi pengguna internet. Denganadanya email dapat mempermudah seseorang untuk bertukar informasi secara cepat tanpa harusmenggunakan jasa pos yang membutuhkan waktu yang lebih lama. Untuk menerima sebuahemail pastinya melalui proses pengunduhan email. POP3 server berfungsi untuk melakukanproses pengunduhan email pada layanan webmail yang digunakan. POP3 server yang digunakanumumnya masih menggunakan protokol TCP pada beberapa email server seperti Sendmail,Postfix, Qmail dan lain-lain. Seiring perkembangan teknologi kini telah ada protokol baru yaituprotokol SCTP yang mendukung fiture message oriented yang dibutuhkan dalam beberapaaplikasi email. Perancangan sistem pada penelitian ini menggunakan bahasa pemrograman javadan menerapkan protokol SCTP pada POP3 server sehingga dapat diimplementasikan dalamproses pengunduhan email.
Implementation of Feature Selection using Information Gain Algorithm and Discretization with NSL-KDD Intrusion Detection System Putra, Dharma; Kadnyanana, I Gusti Agung Gede Arya
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.p06

Abstract

Feature selection is one of the research on data mining for datasets that have relatively many attributes. Eliminating some attributes that are irrelevant to the label class will be able to improve the performance of the classification algorithm. The Information Gain algorithm is one of the algorithms for searching for features that are irrelevant to the label class. This algorithm uses wrapper techniques to eliminate irrelevant attributes. This research aims to implement feature selection using the Information Gain algorithm against the NSL KDD intrusion detection dataset which has a large number of relative attributes. The dataset of the selected attribute will be performed by a classification algorithm so that an attribute reduction can improve the compute process and improve the accuracy of the algorithm model used.
Design Of Mobile-Based Decoration Service E- Marketplace Application System Andrayuga Mardhayiska, I Made; Adi Pramartha, Cokorda Rai
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.p01

Abstract

Nowadays, people tend to search for goods or services through their mobile device using an electronic marketplace. In Bali, a decoration business for weddings, religious events, and other events grow rapidly. This business provides services that rents various kinds of decorations such as tents, chairs, tables, stages and others that are commonly used in ceremonial events. However, unfortunate for decoration service entrepreneurs who have high prospects, many of them are using the traditional method of marketing and sales such as word-of- mouth. Moreover, many of them not catching up with the current development of the e-market. By listing the services on the e-marketplace, easier for the customer to find the desired decoration services that fit their needs and budget. Also, by utilizing the e-marketplace will save the customer time, because the customer can just search, compare, and book to rent decorations without leaving home. The purpose of this research project is to create a mobile-based application of market place that accommodates entrepreneurs renting decorations. Our purposed mobile-based marketplace uses the prototyping method to build this mobile-based application.
ANALISIS KINERJA RIP (ROUTING INFORMATION PROTOCOL) UNTUK OPTIMALISASI JALUR ROUTING Tresna Wijaya, Kadek Chandra
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

Jaringan adalah sekumpulan alat komunikasi yang saling terhubung satu sama lainnya. Seiring dengan berjalannya waktu jaringan komputer berkembang sangat pesat. Saat ini hamper semua instansi pemerintahan membutuhkan jaringan untuk melakukan komunikasi serta pertukaran informasi. Dalam melakukan pertukaran informasi tentunya akan sering mengalami suatu permasalahan komunikasi seperti time-out ,data yang dikirimkan lambat, rusak dan bahkan tidak sampai ke tujuan karena rute yang dilalui oleh paket data yang dikirimkan terlalu jauh. Untuk mengoptimalkan kinerja router dalam mengalami status tersebut, perlu dipergunakan metode routing yang tepat. Routing Information Protocol (RIP) merupakan sebuah routing protocol yang mampu memberikan jalur rute terpendek serta rute terbaik yang dapat dilalui oleh suatu paket data yang dikirimkan sehingga dapat menghemat penggunaan bandwith, karena hop tujuan dapat dicapai dengan cepat. RIP menggunakan teknologi distance vector karena sangat efisien dalam proses pengiriman update informasi rute. Kemampuan ini membuat RIP menjadi sebuah routing protocol yang sangat stabil untuk interior routing, akan tetapi terdapat beberapa hal penting yang perlu diperhatikan dalam mengimplementasikan RIP.Hal yang perlu diperhatikan dalam penelitian untuk mengetahui bagaimana kinerja RIP dalam mengoptimalkan kinerja jaringan yaitu, ping time request, angka time to live (TTL), Shortest Path, serta waktu konvergensi dari sebuah router dalam melakukan pembaharuan informasi routing.Berdasarkan hasil penelitian yang telah dilakukan, kecepatan waktu konvergensi rata-rata dibawah 30 detik dalam pembaharuan informasi routing, RIP mampu mengoptimalkan kinerja jaringan.
Optimasi Pembobotan Jaringan Syaraf Tiruan Pada Klasifikasi Kanker Payudara Prebiana, Kiki Dwi; Santi Astawa, I Gede; Supriana, I Wayan
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 9 No 1 (2020): JELIKU Volume 9 No 1, Agustus 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.i01.p15

Abstract

Klasifikasi adalah proses membedakan sekumpulan model kedalam beberapa kelas data. Salah satu algoritma yang dapat digunakan untuk proses klasifikasi adalah Jaringan Syaraf Tiruan. Salah satu proses yang memepengaruhi proses Jaringan Syaraf Tiruan adalah proses pembobotan jaringan antar neuron pada Jaringan Syaraf Tiruan. Terdapat beberapa metode yang dapat digunakan dalam proses pencarian bobot, seperti algoritma genetika dan Particle Swarm Optimization atau PSO. PSO adalah salah satu metode optimasi pada Artificle Intelegent. Pada penelitian ini akan dilakukan proses pengujian pengaruh parameter PSO terhadap hasil akurasi yang diperoleh oleh Jaringan Syaraf Tiruan. Dari penelitian yang telah dilakukan nilai parameter terbaik PSO yang digunakan adalah w=0.8, c1=1.5, dan c2 = 2.2. Dari penelitian tersebut menunjukan bahwa optimasi pebobotan dengan Particle Swarm Optimization (PSO) dapat meningkatkan rata – rata nilai akurasi sebesar 0.5%.
Tempo Tracking pada Transkrip Guru Ding Dong menggunakan Metode Connected Component Labeling (CCL) Dharmajaya, Gede Putra; Bayu Atmaja Darmawan, I Dewa Made
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 8 No 2 (2019): Jeliku Volume 8 No 2, November 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.i02.p05

Abstract

Music notation is a system of writing musical expressions as outlined in the form of symbols in the form of numbers or blocks. Music notation is used to document the composer's work in the form of songs so that it can be used by the public. In Balinese culture there is also a musical notation called Guru Ding Dong's Notation. This study discusses the segmentation of guru ding dong transcript to determine the tempo of each notation using the Connected Component Labeling method and the rule-based method. CCL algorithm applies Graph theory, where all pixels in an area that have a relationship with obeying the rules of pixel proximity will become a new image. The image that can be processed by the CCL algorithm is a binary image. In addition, this study also uses the image preprocessing method for initial data processing, namely grayscaling and binarization. The system built for research uses the MATLAB 2017b application. The results of the test resulted in an accuracy of the successful identification of characters and the tempo of each notation of 82%, this is influenced by the preprocessing process where there is a lot of noise in the image.
Pengembangan Aplikasi Human Resources Management System PT. Omnia Media Siddarta, Wahyu; Adi Pramartha, Cokorda Rai
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.p02

Abstract

Management sumber daya manusia (human resources management) merupakan sesuatu yang sangat penting di dalam suatu perusahaan. Tujuan utama dari management sumber daya manusia adalah untuk memaksimalkan setiap individu secara efektif, sehingga tujuan bersama dapat dicapai. Namun di dalam pelaksanaannya, management sumber daya manusia juga memerlukan sumber daya manusia, dimana akan meningkatkan pengeluaran dari perusahaan. Untuk meminimalisasi pengeluaran tersebut, dilakukan pembuatan sistem management sumber daya manusia (human resources management system) dimana proses management sumber daya manusia diharapkan dapat di-otomatisasi sehingga memerlukan sumber daya manusia yang lebih sedikit, dan mengurangi kesalahan yang dapat terjadi jika dilakukan oleh manusia. Pemetaan kebutuhan user dilakukan dengan proses wawancara terhadap manager human resources department PT. Omnia Media ( Blockchain zoo).
Performance Evaluation of Contract Labor Using Cluster Analysis Putra, Putu Pasek Wahyu Chandra; Astawa, I Gede Santi
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.p06

Abstract

The role of employees is needed to determine the success of a company. Performance appraisal performance is a way to measure the contribution made. One way to do an evaluation is by classifying the data. After the data is grouped into clusters, a ranking is done. Method used The Simple Additive Weighting (SAW) method is to find the weighted sum of the performance ratings for each alternative on all attributes. The criteria that will be used as a reference in making decisions are performance, presence and behavior. Very good performance was achieved by contract workers located in cluster 1, contract workers located in cluster 5 received a good rating, contract workers located in cluster 4 received a sufficient rating, contract workers located in cluster 4 received a bad predicate and contract workers located in cluster 3 get a very bad predicate. The purity method is used to measure the purity level of a cluster. The purity value obtained is 0.89 or 89%. Which indicates the accuracy value with the purity test is good because the purity value is close to 1
PENGEMBANGAN APLIKASI FRONT END SISTEM LAPORAN KERUSAKAN INTERN PDAM KOTA DENPASAR Pidada, Ida Bagus Naradhipa
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 7 No 2 (2018): JELIKU Volume 7 No 2, 2018
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

PDAM Denpasar City is a Government-Owned Business Entity, which provides services to the community, especially in an effort to fulfill the basic needs of the community for healthy drinking water. Most of the systems available in PDAM Kota Denpasar are still done manually, only payments have been made online. Based on this reason the author conducted the XV period Job Training (PKL) in 2018 in PDAM Kota Denpasar because this agency needed something more in order to be able to keep up with this online and advanced development.From PDAM programmers and field supervisors, they advise the authors to make an application or website for an internal damage report system, because in the PDE section they often respond to complaints manually and also so that other field employees who are damaged do not need to come to the PDE to file complaints, an application / website. Based on this reason the author decided to make an internal damage report system application. The focus of the author this time is on the Front end of the internal damage report system. Based on the observation of the writer in PDAM Kota Denpasar, there are three types of complaints, which are then categorized by the authors, namely Software, Hardware, and Network. Later other field employees can determine the category / type and write down the details of the complaint.Keywords: Damage Reports, Website, Information

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