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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 29 Documents
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Search results for , issue "Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023" : 29 Documents clear
Sistem Rekomendasi Manga (Komik Jepang) Menggunakan Metode Content-based Filtering Maharani Putri Suari; I Ketut Gede Suhartana
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
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.2023.v12.i02.p15

Abstract

Komik Jepang atau Manga adalah karya seni asal Jepang yang sudah menyebar hampir ke seluruh dunia. Manga ini umumnya digemari oleh anak-anak dan remaja karena gambar dan cerita yang menarik. Karena kemajuan IPTEK menyebabkan Manga sudah dapat diakses di platform digital dalam bentuk softcopy. Hal ini tentu memudahkan untuk mempromosikan manga serta membaca manga. Oleh karena itu, sistem rekomendasi manga berdasarkan genre dirancang untuk membantu pembaca mendapatkan rekomendasi manga lain yang sesuai preferensi manga mereka menggunakan genre dan metode content-based filtering dengan sumber dataset dari website MyAnimeList yang berjumlah 983 manga. Nilai precision yang diperoleh adalah 0,6 atau sebesar 60%.
Sistem Rekomendasi Film Dengan Pendekatan Ontologi Qaris Ardian Pratama; I Gede Arta Wibawa
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
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.2023.v12.i02.p06

Abstract

Movie is one of the easiest and cheapest entertainment human can experience. Nevertheless, there is an abundant amount of movies to watch. In the US and Canada alone, there are 403 movies produced in 2021. That is a huge amount of movies one person can watch. Most of people usually confused in determining which movies to watch, especially after watching a movie that truly suits their taste. Determining a decision in choosing a movie to watch requires a recommendation system. The recommendation system will provide decisions with good accuracy if it is collaborated with the Semantic Web using ontologies. In this study, researchers aims to build a movie ontology design which will later be used as a processing database in a movie selection recommendation system. In building the ontology, researcher requires the Methontology method. The methontology stages are performing the stages of specification, knowledge acquisition, conseptualizationo, integration, implementation, evaluation, and documentation.
Sistem Rekomendasi Seri Animasi Jepang (Anime) Menggunakan User-Based Collaborative Filtering dan Spearman Rank Correlation Coefficient I Kadek Gowinda; I Gede Santi Astawa; I Gusti Ngurah Anom Cahyadi Putra; Ngurah Agus Sanjaya; Ida Bagus Gede Dwidasmara; I Dewa Made Bayu Atmaja Darmawan
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
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.2023.v12.i02.p26

Abstract

The number of existing anime is increasingly varied and more in line with the increasing number of enthusiasts. The surge in anime series among anime enthusiasts has become an obstacle to finding anime that matches their taste. This underlies the writer to create an anime recommendation system using User-Based Collaborative Filtering method. The research process consisted of several stages, namely data collection from the Kaggle website with 3 pieces of data uploaded, namely in the .csv format. Determination of users who have a correlation, using the Spearman Rank Correlation Coefficient method. Calculation of predictions using a weighted sum algorithm. The final stage is the implementation of the recommendations and evaluation of the recommendation system used to calculate the level of collaborative filtering using the Mean Absolute Error (MAE).. This research has output in the form of a website which has several components, namely Home Page, Login-Register, Search, Recommend, Result Page, Single View and Rating. Testing on the system uses MAE calculations which are carried out on 50 users with the most rating history. The results from the test show that the percentage of error obtained is 15.8% and the prediction accuracy results obtained are 84.12%. The smallest MAE value of the 50 profiles is 0.894933222 by Archaeon and the highest MAE value is 3.572438553 by Krunchyman.
Load Time Optimization on React Website using Incremental Static Regeneration with NextJS Gede Sudimahendra; Luh Arida Ayu Rahning Putri
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
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.2023.v12.i02.p20

Abstract

There’s a lot of tools that can be used to build or develop a website. Starting from basic HTML CSS and JavaScript to the use of UI Framework such as React, Angular, Vue JS or Svelte But, the use of UI Framework doesn’t come with no cons. UI Framework like React, use virtual DOM, instead of modifying the DOM directly, so when the first time application load, the framework needs to load library to modify the virtual DOM, before the page can load. This can leads to slow first loading time. This paper research performance improvement when using ISR ( Incremental Static Regeneration ) in NextJS
Identifikasi Plat Nomor Kendaraan Di Indonesia Menggunakan Metode Convolutional Neural Network (CNN) I Nyoman Restu Muliarta; I Gede Santi Astawa
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
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.2023.v12.i02.p11

Abstract

Seiring dengan perkembangan zaman, teknologi juga semakin berkembang. Contohnya dengan menggunakan suatu system yang mampu mengidentifikasi plat nomor kendaraan secara efisien dan akurat. Contoh metode yang digunakan adalah metode CNN. CNN atau Convolutional Neural Network merupakan salah satu metode deep learning yang sering digunakan untuk pengenalan citra. Hal ini disebabkan karena metode CNN berkonsep system pengenalan citra pada visual cortex manusia sehingga memiliki kemampuan mengolah citra informasi. Dengan menggunakan metode ini, dapat mengenali simbol pada plat nomor kendaraan. Penelitian ini menggunakan beberapa sampel gambar plat kendaraan yang diambil dari berbagai media. Berdasarkan hasil penelitian yang telah dilakukan maka diperoleh hasil, yaitu tingkat keakuratan dalam mendeteksi setiap karakter pada plat kendaraan.
Bahasa Inggris Ngakan Putu Widyasprana; Ida Bagus Made Mahendra
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
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.2023.v12.i02.p02

Abstract

Literacy is the ability of Indonesian language competence on the basis of reading and writing. Literacy skills in Indonesia are quite lagging behind other nations in the world. To improve literacy skills, we use the SAC (All Smart Children) approach with TaRL (Teaching at Right Level) learning. This approach can be realized by using one of the clustering methods, namely the K-Means Algorithm. The grouping will use data from the implementation of the literacy program at SMP Santi Yasa Petak in the span of 3 months and the modeling using the Rapid Miner application. The results obtained divided students into 2 clusters, namely a cluster of students who were able to carry out a literacy program of 8 people and a cluster of students who had not been able to carry out a literacy program of 5 people.
Penerapan Steganografi dan Visible Watermarking Pada Gambar Digital Untuk Perlindungan Hak Cipta Chelsy Elisabet Gultom; I Ketut Gede Suhartana
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
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.2023.v12.i02.p16

Abstract

As technology develops, almost all information and data is stored in digital form. But as we know, digital storage is more vulnerable to theft where this thing is often happen to data that people shared on the internet, include digital image. From the problem above, we do the research where we build a windows-based program using steganography with least significant bit method and visible watermarking that implement encryption hidden message and visible watermarking to the digital image we want to. This program also can decode the hidden message from the digital image that contain the message. The research prove that using the combination of steganography and visible watermarking can help the owner of the digital image to claim the copyright of their digital image. This happened because they can encrypt the proof of the ownership in the image by visible dan invisible way.
Desain Sistem Informasi Penanganan Arsip Berbasis Website di PT Sinar Nusrapress Utama Rikha Setyawati; Ni Ketut Lasmini; Ni Made Kariati
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
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.2023.v12.i02.p27

Abstract

PT Sinar Nusrapress Utama, yang terletak di Jalan Hayam Wuruk, Panjer, Denpasar, Bali, merupakan sebuah perusahaan media cetak dan digital. Studi ini bertujuan untuk meningkatkan dan mempercepat proses pengarsipan surat masuk dan keluar yang dilakukan setiap bulan. Salah satu solusi yang diusulkan adalah dengan menciptakan sebuah sistem arsip online berbasis informasi untuk memfasilitasi dan mempercepat proses arsip dengan lebih efisien. Metodologi yang digunakan dalam mendesain sistem ini adalah System Development Life Cycle (SDLC), yang mencakup empat tahapan utama seperti identifikasi masalah, penetapan kebutuhan informasi, analisis sistem, dan perancangan sistem yang diusulkan. Dalam prosesnya, berbagai alat pemodelan seperti peta konsep, diagram hubungan entitas, skenario kasus penggunaan, flowchart, dan antarmuka pengguna grafis digunakan. Teknik pengumpulan data melibatkan observasi, wawancara, studi literatur, dan dokumentasi. Hasil dari penelitian ini adalah rancangan sebuah Sistem Informasi Pengarsipan berbasis web untuk PT Sinar Nusrapress Utama, yang diharapkan membuat pengarsipan lebih efektif dan efisien. Kata Kunci: Sistem, Informasi, SDLC, Concept Map, ERD, Use Case Diagram, GUI.
Perancangan Ontologi Semantik: Representasi Digital Kuliner Khas Pulau Dewata I Putu Agus Arya Wiguna; I Gusti Ngurah Anom Cahyadi Putra
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
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.2023.v12.i02.p07

Abstract

Advances in information technology are currently driving the growth of the number of internet users. In the business world, the role of technology is very important, and it can be said that it has become a primary need for entrepreneurs at this time. Likewise about culinary, knowledge about this needs to be taken and judged properly digitally such as from the aspect of place, taste, presentation and price. So that later it can be given to the community and passed down from generation to generation as well as to promote to foreign tourists so that they can be better known and increase the country's foreign exchange. The use of ontology as an information representation technique is the preferred solution in this case because ontology can be used to improve the development of semantic applications, especially when dealing with the semantic web. The method of building the ontology model used is Methodology. This method is one method of building an ontology model that can reuse the built ontology for further system development. The development of the ontology model in this study uses an application called Protégé and in the evaluation process, the ontology gives good results in answering the questions given by the users.

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