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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

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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.
Desain Aplikasi Pengingat Interaktif untuk Orang dengan Penyakit Demensia Berbasis Mobile I Dewa Made Candra Wiguna Marcelino; Ngurah Agus Sanjaya ER
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.p08

Abstract

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.
Sistem Informasi Sepeda Motor Dengan Metode User Centered Design Gusto Gibeon Ginting; I Gusti Ngurah Anom Cahyadi Putra; Made Agung Raharja; Ngurah Agus Sanjaya ER; I Ketut Gede Suhartana; Gst. Ayu Vida Mastrika Giri
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.p22

Abstract

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.
Analisis Sentimen Ulasan Aplikasi Solusi Kota Cerdas Menggunakan Algoritma Naïve Bayes dan Support Vector Machine (SVM) dengan Seleksi Fitur Chi-Square Ni Luh Komang Indira Pramesti; Made Agung Raharja; Ngurah Agus Sanjaya ER; I Gede Arta Wibawa
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

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Abstract

Masyarakat yang semakin bergantung dengan teknologi dalam kegiatan sehari-hari menyebabkan banyaknya aplikasi yang hadir dalam membantu kegiatan ini. Salah satunya adalah aplikasi SpeedID yang berfungsi sebagai solusi kota cerdas. Fitur yang dimiliki beragam, mulai dari verifikasi identitas online, antrean online, manajemen usaha kuliner, manajemen usaha UKM, dan masih banyak lagi. Popularitas aplikasi ini berujung pada banyaknya ulasan yang diberikan oleh pengguna, baik itu positif, negatif, maupun netral. Oleh karena itu, perlu dilakukan suatu analisis sentimen ulasan guna mengetahui pandangan pengguna terhadap aplikasi. Metode analisis sentimen yang digunakan adalah Naïve Bayes (NB) dan Support Vector Machine (SVM) dengan seleksi fitur chi-square. Hasil evaluasi model menunjukkan bahwa seleksi fitur chi-square memiliki pengaruh positif terhadap performa model NB yang ditandai dengan meningkatnya nilai akurasi hingga sebesar 3,12%. Namun, seleksi fitur chi-square ini tidak memiliki pengaruh terhadap performa model SVM yang tidak mengalami peningkatan atau penurunan nilai akurasi saat ditambahkan chi-square.
Penerapan Algoritma Decision Tree dalam Segmentasi Customer Ni Putu Vina Amandari; Ngurah Agus Sanjaya ER
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.p09

Abstract

Segmentasi customer merupakan proses pembagian customer yang dilakukan oleh suatu bisnis guna mengetahui target pasar yang sesuai dengan usaha yang dijalankan. Customer akan dibagi menjadi beberapa kelompok sesuai dengan karakteristiknya seperti usia, frekuensi pembelian, jenis kelamin, pekerjaan, dan lain sebagainya. Tujuan dilakukannya segmentasi customer yaitu mengembangkan hubungan yang lebih baik dengan cara memahami kebutuhan setiap segmen pelanggan, meningkatkan profitabilitas dengan cara membuat strategi pemasaran yang lebih efektif, serta mengidentifikasi customer yang kemungkinan dapat meningkatkan pendapatan suatu usaha. Pada penelitian ini akan dilakukan klasifikasi target customer menggunakan algoritma decision tree. Dataset yang digunakan didapatkan dari Kaggle. Keywords: Decision Tree, Segmentasi Customer
Fast Fourier Transform (FFT) Dalam Analisis Frekuensi Alat Musik Harmonika Ida Bagus Made Surya Widnyana; Ngurah Agus Sanjaya ER
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.p15

Abstract

Music is an art of entertainment that has been installed in the world community. Many types of music and musical instruments are used to play a song / instrument. One of the musical instruments commonly used to accompany a musical strain. Harmonica is a wind instrument. How to play this instrument is by blowing and looking for holes to produce sound. Harmonica uses a sound source in the form of a vibrating plate (reed) which is attached to a vibrating plate (reedplate). When air is passed, the reed will respond by vibrating back and forth through the holes (slots) that have been made on the reed plate and produce sound. Fast Fourier Transform (FFT) is a transformation method/model that is usually used to represent voice signals in discrete time domains into voice signals in frequency domains/move time domain signals into frequency domains.
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.
Implementasi Algoritma Yolo untuk Deteksi Buah Durian dan Manggis Pradana, I Putu Aditya; ER, Ngurah Agus Sanjaya
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 2 No 4 (2024): JNATIA Vol. 2, No. 4, Agustus 2024
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v02.i04.p26

Abstract

This study aims to implement the YOLOv8 algorithm in detecting images of durian and mangosteen fruits. The research methodology includes literature review, image collection, data processing, YOLOv8 algorithm implementation, model evaluation on validation data, and drawing conclusions. Image collection is done through online sources, and data is processed through annotation, pre-processing, and augmentation using the Roboflow platform before exporting to YOLOv8 format. The algorithm implementation is carried out in Google Colab with model training, object detection, and evaluation stages on validation data. Evaluation results include accuracy, recall, precision, and F1 score values, with model performance evaluated using mean average precision (mAP) metric. The results indicate that the model can recognize objects well, with a mAP above 0.27%. This study successfully implements YOLOv8 for durian and mangosteen fruit detection with satisfactory evaluation results. Keywords: You Only Look Once (YOLO), Google Colab, Roboflow
Pengembangan Model Ontologi Cerita Rakyat Bali Budiantari, Ni Made Julia; Sanjaya ER, Ngurah Agus
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

This research aims to develop an ontology related to the domain of Balinese folklore. Balinese folklore is an important part of Bali's cultural heritage and has moral values, as well as being an inspiration in art and performance. Ontology is a method to organize and categorize information in a structured way, and has been widely applied in various fields. However, research on the ontology of Balinese folklore is still limited. This research will propose and develop a comprehensive and structured ontology model for Balinese folklore. The steps to be taken include analysis of relevant ontologies, development of an ontology schema, organization and classification of information, and testing and validation of the ontology model built. The method used in this research is methodology, which includes the stages of specification, knowledge acquisition, conceptualization, integration, evaluation, and documentation. The result of this research is a structured Balinese folklore ontology that has been evaluated using SPARQL queries. This ontology can be used as a source of information and reference in learning and utilizing Balinese folklore. Keywords: Ontology, Balinese folklore, Methontology, SPARQL Query
Klasifikasi Hoax Menggunakan Algoritma Naïve Bayes Putri, Riana Pramesti; Sanjaya ER, Ngurah Agus
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

The use of social media which is so mushrooming today, has many positive impacts but does not cover the negative impacts, one of which is the misuse of information. Hoax is one of the causes of disinformation and public unrest. The speed of spread, which sometimes cannot be controlled, is one of the reasons why hoax news is still being spread every day. Therefore, it is necessary to classify hoax news with the aim of helping the public in separating the news that is being spread. This study uses the Naive Bayes algorithm as a classification model with the addition of hyperparameter tuning. The best model is produced with an alpha of 0.01 which has an accuracy of 87.9%.
Co-Authors Abimanyu, Cokorda Gde Aditya Nugraha, Anak Agung Adu, Enga Prinda Afandi, M Faisal Agus Muliantara Agus Muliantara Albertus Ivan Suryawan Anak Agung Aditya Nugraha Anak Agung Istri Ngurah Eka Karyawati Anak Agung Sinta Trisnajayanti Anggita S, Ni Putu Ayu Sherly Arimbawa, I Gede Ayu Kadek Nadya Oktaviana Budiantari, Ni Made Julia Candra Mahatagandha, Pijar Cokorda Gde Abimanyu Cokorda Pramartha Cokorda Rai Adi Pramartha Darmayasa, I Nengah Oka Farin Istighfarizky Firman Ali Eka Atmojo Fortunawan, I Putu Diska Gede Krisna Surya Artajaya Gede Sukadarmika Gemuh Raharja RL, I Wayan Gede Giri, Gst. Ayu Vida Mastrika Gst. Ayu Vida Mastrika Giri Gusti Ayu Vida Mastrika Giri Gusti Ayu Vidjaretha Wardana Gusto Gibeon Ginting Hairul Lana HARI MULYAWAN I Dewa Made Bayu Atmaja Darmawan I Dewa Made Candra Wiguna Marcelino I Dewa Made Candra Wiguna Marcelino I Gede Arta Wibawa I Gede Santi Astawa I Gede Wira Kusuma Jaya I Gst. Bgs. Arya Yudiastina I Gusti Agung Gede Arya Kadyanan I Gusti Ngurah Anom Cahyadi Putra I Kadek Agus Andika Putra I Kadek Gowinda I Ketut Gede Suhartana I Ketut Satriawan I Komang Ari Mogi I Komang Surya Adinandika I Made Ady Wirawan I Made Ari Widiarsana I Made Widiartha I Made Widiartha I Nengah Oka Darmayasa I Putu Diska Fortunawan I Putu Edy Suardiyana Putra I Putu Gede Hendra Suputra I WAYAN SANTIYASA I Wayan Sugiana Ida Bagus Gede Dwidasmara Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra Ida Bagus Made Surya Widnyana Karel Leo Rivaldo Kurniadi, Kenny Luh Arida Ayu Rahning Putri Luh Gede Astuti Luh Gede Astuti Luh Gede Tresna Dewi Luh Putu Eka Nadya Wati LUH PUTU IDA HARINI Made Agus Hendrayana Made Darma Yunantara Made Hanindia Prami Swari Made Widiartha Negara, I Made Wahyu Guna Ni Luh Komang Indira Pramesti Ni Made Alisya Putri Hapsari Ni Made Ary Esta Dewi Wirastuti Ni Made Dian Kurniasari Ni Made Julia Budiantari Ni Putu Ambalika Dewi Ni Putu Intan Cahyani Ni Putu Vina Amandari Nirmala, Ni Made Gita Satviki Palguna, I Made Surya Adi Palla, Hans Rio Alfredo Pertiwi, Luh Arimas Pijar Candra Mahatagandha Pradana, I Putu Aditya Pradiptha, I Gde Made Hendra Putra, Gede Bagus Prawira Putri, Riana Pramesti Raharja, Made Agung Riana Pramesti Putri Safira Sinta Wahyuni, Ni Made Suryawan, Albertus Ivan Wayan Citra Wulan Sucipta Putri Yasa, I Gede Cahya Purnama