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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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Forecasting Saham Perbankan Dengan Penerapan Multilayer Backpropagation Neural Network I Putu Ryan Paramaditya; Cokorda Rai Adi Pramartha; I Gede Arta Wibawa; I Gede Santi Astawa; Ida Bagus Gede Dwidasmara; I Dewa Made Bayu Atmaja Darmawan
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 4 (2024): JELIKU Volume 12 No 4, May 2024
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.2024.v12.i04.p02

Abstract

The use of the Neural Network algorithm with Backpropagation is used to predict stock price data based on the closing price of the following day, as a reference for buying shares in the future. The dataset used is of the time-series type, stock data for the state-owned banking category comes from Yahoo Finance such as Bank BNI (BBNI). Where from the results of the model training carried out, the lowest loss was 0.0011 at epoch 29, 33, 41, 43, 46, 47, and 49 and the highest was 0.0243 at epoch 0. The lowest Val Loss was 0.0011 at epoch 5, 10, and 46 and the highest was 9.555 at epoch 44. The model test score results showed a Median Absolute Error (MAE) of 85.57 and a Mean Absolute Error Percent (MAE%) of 1.97%. Root Mean Squared Error (RMSE) is 103.85 and Root Mean Squared Error Percent (RMSE%) is 2.39%. This score is considered good because it is below 50%. Prediction results reach an average of above 90%. To get the best prediction results, the percent change must be above -4.35% and the percentage above 95.65%.
Real Time Object Detection Menggunakan Mobilenet-SSD pada Sistem Keamanan Ruangan dengan Bot Telegram Sebagai Notifikasi User Afit Miranto
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 13 No 1 (2024): JELIKU Volume 13 No 1, August 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

CCTV memainkan peran krusial dalam menjaga keamanan suatu lingkungan. Namun, penggunaan CCTV konvensional menghasilkan penggunaan storage yang cukup banyak karena tanpa pengenalan objek CCTV akan selalu merekam kejadian selama sistem menyala. Untuk meningkatkan efisiensi, dibutuhkan sebuah sistem yang dapat mendeteksi objek yang presisi dan hanya memberikan peringatan ketika ada objek yang dikenali. Penelitian ini berfokus pada perancangan sistem otomatis dengan menggunakan Raspberry Pi 4 sebagai pusat kendali untuk mengelola kamera keamanan dalam pendeteksian objek dan juga penyimpanan data. Sistem ini juga memanfaatkan database penghuni rumah untuk membandingkan dan memberikan notifikasi jika mendeteksi kehadiran yang tidak sesuai. Dengan merekam hanya saat terdeteksi pergerakan manusia, sistem mengurangi beban penyimpanan. Solusi ini memberikan pemantauan ruangan yang efisien dan notifikasi melalui aplikasi Telegram, mengatasi kendala penggunaan storage yang berlebihan. Metode yang digunakan dalam pendeteksian objek adalah dengan menggunakan mobilenet-SSD v2. Hasil yang diperoleh adalah sistem mampu mengenali objek manusia dan akan mengirimkan pesan notifikasi dan berupa capture gambar jika objek yang terdeteksi tidak dikenali.
Rancang Model Ontologi untuk Representasi Pengetahuan Rumah Tradisional di Indonesia Kadek Diah Pramesti; Luh Gede Astuti
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 3 (2024): JELIKU Volume 12 No 3, February 2024
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.i03.p03

Abstract

Indonesia is famous for its diversity from ethnicity, religion, culture, customs, to traditional buildings or commonly called traditional houses. There are many traditional houses in Indonesia. Each region or place has its own traditional house or building. To preserve this traditional house, a model such as Ontology is needed. The ontology knowledge base is an appropriate method used to represent information. In this project, the ontology model was built using the Protégé ontology development tool. We use the method of METHONTOLOGY in the development of the ontology model where this method describes each step-in detail. The ontology model built has 9 classes, 4 object properties, 1 data properties, and 80 individuals. The testing process in the development of the ontology model by performing SPARQL queries.
Sistem Monitoring Indek Kualitas Udara Berbasis Open Meteo Air Quality API I Gede Surya Rahayuda; Ni Putu Linda Santiari
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 3 (2024): JELIKU Volume 12 No 3, February 2024
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.i03.p22

Abstract

This research aims to develop an air quality monitoring system based on the Open Meteo API and OpenStreetMap API using the Software Development Life Cycle (SDLC) approach. By utilizing latitude and longitude data, users can see the air quality index (AQI) at a location with a default forecast for one day every hour. Users also have the option to configure the location and number of days for the forecast. Through trials, this website succeeded in determining AQI values based on user configuration. In addition, this system uses color as a visual representation of AQI categories based on united states air quality index standards, making it easier for users to understand the level of health risk. The development of this system involves the SDLC method to ensure a smooth development process from design to implementation. Apart from increasing the accuracy of AQI mapping, the use of the OpenStreetMap API also allows location identification based on geographic coordinates. Overall, this research contributes to the understanding and monitoring of air quality with an approach that is easy to access and understand for users. Keywords: aqi, api, open meteo, vercel, github
Perancangan Ontologi Semantik: Representasi Digital Film Bioskop Indonesia Andien Rachma Fadillah; Komang Kartika Noviyanti; I Putu Agus Arya Wiguna; Cokorda Pramartha
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 4 (2024): JELIKU Volume 12 No 4, May 2024
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.2024.v12.i04.p20

Abstract

The rapid growth of the film industry in Indonesia has created complexity in the management and integration of cinema-related data. Despite the increase in film production, audience enthusiasm remains unmet due to inadequate film infrastructure and difficulties in accessing information. Semantic Web technology can be a solution by expanding the current web to provide better-defined meanings to information, enabling collaboration between humans and computers. This research aims to develop an ontology for Indonesian cinema to enhance the representation and interoperability of information. Ontology, as a model of structured knowledge representation using the Web Ontology Language (OWL), allows machines to better understand information. The ontology focuses on crucial aspects such as film titles, genres, film crew information, release years, age ratings, and more. It is expected that this ontology provides a solid foundation for more efficient data search, analysis, and processing applications to support the Indonesian entertainment industry. Initial testing involves user questions, and it is anticipated that this ontology model can systematically present national cinema information.
Perancangan Model Ontologi Untuk Tempat Wisata DiBali Ni Wayan Anti Andari; I Wayan Supriana
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.p21

Abstract

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.
Pemanfaatan Google Analytics Sebagai Upaya Optimasi UX Untuk Meningkatkan Konversi Pada Website I Gusti Agung Istri Bianca Githa Saraswati; I Gusti Ngurah Anom Cahyadi Putra
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 3 (2024): JELIKU Volume 12 No 3, February 2024
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.i03.p13

Abstract

In a world driven by advances in technology, society uses technology more than ever to help support them in many ways. A few of the common ones are to have a business with information systems offline to help achieve their business goals and to have a website so that their business would have a presence online and can be reached globally by the international audience. With every aspect of modern technology, be it offline or online, the user interface and user experience plays a critical role in how the new technology can be usable and adaptable by users of the businesses, and their customers. In the online space, the user experience should be perfected in order to make the website more valuable, accessible, usable, desirable, trustable, and credible to help the user feel more comfortable using the website. This journal will cover how Google analytics can be used to optimize the user experience (UX) to increase the conversion of a website. In order to analyze & enhance the UI and UX of a website, one needs to use both a heuristic approach or known as the rule of thumb approach coupled with a data analysis/data-driven approach. For the data analysis approach to work we would need to sample user traffic data of the website, and identify behavior trends, findings and make conclusions. There are many ways to attract user traffic to a website. Email channel, direct, organic social, organic search, and paid search and paid social are just a few of those many ways. The fastest way out of these options would be to attack traffic via ads placements or paid search ads and paid social ads which can used as a source of the traffic for the data analyses to function. that will be covered in this study. Once traffic is available, Google Analytics can be used to analyze traffic in order to improve the user experience of the website. This journal has proven that google analytics can help the business to optimize the UX of our website. The goal of this business is to get the user to click the WhatsApp button and communicate with the owner. We get 11 users that click the WhatsApp button in January which is before the website UX is upgraded, 16 users in February when the new version design is launch, and the new one in March which has 25 users to click the WhatsApp button on website. This have been proven that the conversion rate of user clicking WhatsApp button is after the UX design have been launch is higher than before the website used the UX design.
Performance impact of Hybrid Cryptography in securing RESTful API messages using ECIES Albertus Ivan Suryawan; Agus Muliantara; Ngurah Agus Sanjaya ER; I Dewa Made Bayu Atmaja Darmawan
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 13 No 1 (2024): JELIKU Volume 13 No 1, August 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

As technology advances this past decades, many businesses start to integrating technology into their business, which making transaction more convenience. However, this convenience also introducing several security threats against these transmitted data that often involving highly private data. While ideally payment services should have some security standards for its users, research show that misconfigured TLS could actually expose some security threats caused by flaw on certain revisions, which could then be potentially used in dictionary attack. In this research, the author tries to implements a hybrid cryptography implementation involving use of Elliptic Curve Cryptography algorithm and AES in form of Elliptic Curve Integrated Encryption Scheme to secure highly private message over REST APIs and assess its impact in term of performance. In the proposed system, every data that contains a personal data will be secured using end-to-end approach, where each data sent and received will be encrypted using ECIES with AES on the top HTTPS connection. As the result, there is a slight performance degradation at rate of 57 to 230 milliseconds or about 15.57% of the original implementation without any encryption involved inside the system. Although this degradation may seem minimal, it underscores the critical trade-off between performance and security. This increased duration is also still under the currently accepted standard for any transaction request maximum duration which is 8 seconds, and estimated duration for certain request to be completed by the proposed system can be predicted using following formula: y=0.01156x+1.23 with RMSE of 3.71.
Pengamanan Teks Dalam File Menggunakan Metode Enkripsi/Depkripsi Kombinasi Vigenere Cipher Dan Shift Cipher I Made Arthya Andika Putra; Agus Muliantara
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.p12

Abstract

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.
Pengembangan Sistem Informasi Digital Zoonosis Melalui Pendekatan Web Semantik Komang Kartika Noviyanti; Luh Gede Astuti; I Gede Surya Rahayuda; Agus Muliantara
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 4 (2024): JELIKU Volume 12 No 4, May 2024
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.2024.v12.i04.p17

Abstract

Bali Province with a population of 44,426,000 in 2023, faces challenges in ensuring sufficient food supply. Zoonotic diseases, which can be transmitted from animals to humans, pose a serious and underreported threat, affecting both animal production and human health. To address these challenges, the web-based application Healthy Zoonosis was developed, providing comprehensive digital information on animal diseases, including zoonoses and non-zoonoses, in Bali from 2015 to 2022. The application features browsing, search, and a dashboard for viewing overall disease data. The research utilized Design Science Research Methodology (DSRM) and Mentontology for ontology modeling, with Prototyping for application design. Evaluation involved 17 Participants for ontology validation, yielding a 100% valid result, and 50 Participants for usability testing, scoring 87.3 on the System Usability Scale (SUS). The app not only demonstrates accuracy and validity but also signifies a shift in animal disease prevention paradigms. It is hoped that this application will enhance public understanding of animal health and support proactive government measures in addressing animal disease challenges.

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