(JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
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
Articles
29 Documents
Search results for
, issue
"Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023"
:
29 Documents
clear
<![CDATA[Perancangan Model Ontologi Untuk Tempat Wisata DiBali ]]>
<![CDATA[Ni Wayan Anti Andari]]>;
<![CDATA[I Wayan Supriana]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24843/JLK.2023.v12.i02.p21
<![CDATA[Bali is one of the many places that become a tourist destination for people who want to enjoy the beauty of nature and culture in their vacation. However, many tourists find it difficult to find information about tourist attractions in Bali. To overcome this we need a system that can help tourists to find information about tourist objects in Bali quickly and precisely using a semantic web knowledge base, namely ontology. Semantic web is a website update that has an automation goal that is able to understand the meaning or concept of the data and the relationship between the two, so that it will produce a web that is in accordance with the wishes of website visitors. This study aims to develop an ontology model that will be applied to the tourism domain in Bali. The development methodology used in building the ontology model is Ontology Development 101. The ontology design is developed using the protégé application and testing will be carried out by asking questions on the ontology model using SPARQL. This ontology model is expected to be able to provide information related to application metadata based on semantic webs on tourist attractions on the island of Bali.]]>
<![CDATA[Pengamanan Teks Dalam File Menggunakan Metode Enkripsi/Depkripsi Kombinasi Vigenere Cipher Dan Shift Cipher ]]>
<![CDATA[I Made Arthya Andika Putra]]>;
<![CDATA[Agus Muliantara]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24843/JLK.2023.v12.i02.p12
<![CDATA[Penelitian ini bertujuan untuk mengimplementasikan sistem super enkripsi dan dekripsi untuk keamanan data file sesuai aturan yang digunakan. Untuk mengatasi kekurangan atau kesalahan proses super enkripsi dan dekripsi ini, dapat menerapkan kombinasi Vigenere Cipher dan Shift Cipher untuk mengatasi keamanan data file. Algoritma Vigenere Cipher dan Shift Cipher termasuk dalam algoritma kriptografi klasik. Algoritma ini dipilih karena kemampuannya untuk melakukan enkripsi super dan pertimbangan keamanan untuk data file. Penelitian ini mengubah isi file teks menjadi password acak (encrypted file) untuk menjaga keamanan data dari orang yang tidak berhak dan hanya mengizinkan pemiliknya untuk mengembalikan dengan file data asli (deskripsi). Diharapkan hasil penelitian yang diperoleh dari kombinasi hyper-encryption dan description akan membantu sistem yang dibuat untuk mendukung dan menjaga keamanan file sebelum proses pengiriman data dalam kerangka suatu perusahaan, sehingga pesan tetap bersifat pribadi sampai saat itu.]]>
<![CDATA[Implementasi Sistem Pakar Dengan Metode Forward Chaining Untuk Diagnosa Penyakit Kulit Anjing ]]>
<![CDATA[Ida Putu Ari Jayadinanta]]>;
<![CDATA[I Ketut Gede Suhartana]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24843/JLK.2023.v12.i02.p03
<![CDATA[Dogs are humans' favorite pets because of the various advantages possessed by these animals. If you have a disease, usually the owner of the dog will throw it away for various reasons, such as lack of knowledge about dog diseases and the limited presence of veterinary clinics. One of the common diseases suffered by dogs is skin disease. The research stages started from Literature Study, Data Collection, System Development (CLI), and Results. The source of knowledge of this expert system for diagnosing dog skin diseases consists of types of dog diseases and their symptoms obtained from information sources on Literature Studies/Libraries available on the internet. The results of the implementation are the CLI System Start Page, the Confirmation Page for Starting Diagnosis, the Diagnosis Page, the Diagnosis Results Page, and the Confirmation Page for Performing the Diagnosis Again. This expert system is expected to help dog owners to diagnose diseases based on visible symptoms.]]>
<![CDATA[Perancangan Sistem Informasi Keuangan PT. Shinta Furniture Berbasis Web ]]>
<![CDATA[Dian Maulina]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24843/JLK.2023.v12.i02.p28
<![CDATA[Shinta Furniture is a factory engaged in the furniture and fertilizer sector. The role of the computer as a sophisticated tool will not reach its maximum level if it has not been designed with a system that can double as a data processing process. However, the financial information system at PT Shinta Furniture still uses a desktop system. The existing financial system cannot be transferred to another computer. This study aims to facilitate access to financial staff. With this the researchers created and developed a new financial system at PT. Shinta Furniture based on WEB. This financial system uses a descriptive research method with the type of case study research in companies where the data collection techniques used include interviews, observational literature studies for data analysis techniques using the waterfall. The initial stage of this design is to collect research data regarding the website to be designed. In designing the system the author uses Context Diagrams and DFD (Data Flow Diagrams). For database design the authors use conceptual databases, logical databases and physical databases. The main components in designing this system use the MySQL database. The research result is a WEB-based financial information system so that it can be used to facilitate access. This system displays incoming and outgoing money data. On this website there is a report printing feature that can be printed according to the desired month and year.]]>
<![CDATA[Analisis Tingkat Inflasi di Indonesia Menggunakan Teknologi Big Data Analytics ]]>
<![CDATA[Lidya Elisabet Theogracia Silitonga]]>;
<![CDATA[I Putu Gede Hendra Suputra]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24843/JLK.2023.v12.i02.p17
<![CDATA[Inflation is a state of the country's economy where there is a tendency to increase the price of goods and services within a certain period of time. In general, inflation in Indonesia occurs due to pressure from the demand side (Demand Pull Inflation) and from the supply side (Cost Push Inflation). From the demand side, according to monetary theory, this excess demand is caused by too much money circulating in the community, while the amount of goods in the market is small. From the supply side (Cost Push Inflation), inflation is caused by an increase in production costs. Unstable inflation has a negative impact Therefore, inflation control is very important. In this study, the inflation rate in Indonesia will be carried out which aims to determine the development and control of inflation in Indonesia. This study will use secondary data from the Central Statistics Agency (BPS). The research method that will be used is the big data analytics method. In this study, the author uses the Tableau tool to visualize data on Indonesian inflation data taken from the Central Statistics Agency (BPS).]]>
<![CDATA[Cover & Table of Contents JELIKU Vol. 12 No. 2 ]]>
<![CDATA[Gst Ayu Vida Mastrika Giri]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[Desain Aplikasi Pengingat Interaktif untuk Orang dengan Penyakit Demensia Berbasis Mobile ]]>
<![CDATA[I Dewa Made Candra Wiguna Marcelino]]>;
<![CDATA[Ngurah Agus Sanjaya ER]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24843/JLK.2023.v12.i02.p08
<![CDATA[Every 3 seconds, 1 person in the world develops dementia. The worldwide incidence of Alzheimer's dementia is increasing rapidly and is currently estimated to approach 46.8 or 50 million people diagnosed with dementia in the world, 20.9 million in Asia Pacific, there are about 10 million new cases every year. In Indonesia itself, it is estimated that there were around 1.2 million people with dementia in 2016, which will increase to 2 million in 2030 and 4 million people in 2050.recommended. In order to help dementia patients and decrease the growth of dementia, author create a design solution using prototyping and UML methods. Using this prototype, user will be getting any reminder and other creative interactions. Hopefully this solution will helped indonesian people who have dementia and reduce the growth of dementia cases.]]>
<![CDATA[Sistem Informasi Sepeda Motor Dengan Metode User Centered Design ]]>
<![CDATA[Gusto Gibeon Ginting]]>;
<![CDATA[I Gusti Ngurah Anom Cahyadi Putra]]>;
<![CDATA[Made Agung Raharja]]>;
<![CDATA[Ngurah Agus Sanjaya ER]]>;
<![CDATA[I Ketut Gede Suhartana]]>;
<![CDATA[Gst. Ayu Vida Mastrika Giri]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24843/JLK.2023.v12.i02.p22
<![CDATA[Today, vehicles are a major need for humans, especially motorcycles. In Indonesia alone the numberof motorcycle population is more than other types of vehicles. The use of motorbikes is consideredmore effective because of low operational costs, economical fuel consumption and moreenvironmentally friendly, and a wider range of mobility due to their not too large size and easy use.Because of this, various brands of industrial companies are circulating in the market, so that it is difficultfor people to choose a motorbike. To realize this, a research entitled Motorcycle Information SystemUsing the User Centered Design Method was carried out. In this study, the researcher will later add arecommendation feature to the built website, this feature will later compare in terms of a smaller valuethan the variable inputted by the user, to run this feature, the researcher adds a selection sort algorithmas an algorithm for comparing values between variables.This study aims to design a website-based user interface and user experience. Where it is, proportionalto the increase in the number of purchases of existing motorcycles. The website that has been madewas tested on the General Public and Informatics Students with a total of 20 respondents. To find outthe level of satisfaction of respondents in using the motorcycle recommendation website, usabilitytesting was carried out using the system usability scale method. This method measures the usability ofa computer system according to the user's subjective point of view by filling out a Likert-scalequestionnaire. The website that has been made is tested on the General Public and InformaticsStudents. To find out the level of satisfaction of respondents in using the motorcycle recommendationwebsite, usability testing was carried out using the system usability scale method. This methodmeasures the usability of a computer system according to the user's subjective point of view by fillingout a Likert-scale questionnaire.]]>
<![CDATA[Desain Aplikasi AMAN : Aplikasi Keselamatan untuk Wanita dan Anak – Anak Berbasis Mobile ]]>
<![CDATA[Alvin Wiraprathama]]>;
<![CDATA[I Made Widiartha]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24843/JLK.2023.v12.i02.p13
<![CDATA[Crime is one of the biggest threat and still often occurs easily in daily life in Indonesia until today. According to BPS ( Badan Pusat Statistik ) Indonesia, there are more than 200.000+ crime cases that happened every year. Crime can happen to anyone especially to women and children. This study aim to help solving women and children safety problem by taking the advantage of daily use of mobile phone and smart gadget. In order to solve the problem, the author create a design solution using prototyping method and model it in the form of a mobile application. In the prototype, user can send emergency request at anytime they need, call emergency contact or nearby authorities to help them. Hopefully this application can reduce the crime number and make a safer environment for women and children.]]>
<![CDATA[Improving The Accuracy of Sentiment Analysis using Slang Words Lexicon and Spelling Correction ]]>
<![CDATA[I Komang Surya Adinandika]]>;
<![CDATA[I Gusti Agung Gede Arya Kadyanan]]>
<![CDATA[ JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24843/JLK.2023.v12.i02.p04
<![CDATA[Text pre-processing has long been a research subject to improve accuracy of Natural Language Processing models. In this paper we propose a technique for text sentiment classification with extra steps on text pre-processing using slang word lexicon and spelling correction to annotate non-formal Indonesian text and normalize them. This study aims to improve the accuracy of sentiment analysis models by strengthening text pre-processing methods. We compared the performance of these preprocessing methods using 2 popular classification algorithms: Support Vector Machine (SVM) and Naïve Bayes, and 3 different feature extraction methods: term presence, Bag of Words, and TF-IDF. Model was trained and tested with 1705 datasets of twitter posts from Indonesian users about Covid 19. Result show]]>
