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All Journal Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana E-Jurnal Matematika Semantik Jurnal Buana Informatika Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
Luh Arida Ayu Rahning Putri
Universitas Udayana
Humanities Computer Science & IT Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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Perancangan Ulang Website Itinerary untuk Daerah Wisata Kabupaten Badung Menggunakan Metode User Centered Design Putu Audy Cipta Pratiwi; Luh Arida Ayu Rahning Putri; I Wayan Santiyasa; Gst Ayu Vida Mastrika Giri
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.p05

Abstract

Pariwisata menjadi sektor vital dalam perekonomian Indonesia, termasuk di Kabupaten Badung, Bali yang merupakan salah satu destinasi utama di Indonesia. Dengan peningkatan kunjungan wisatawan, diperlukan informasi wisata yang mudah diakses. Namun, pengalaman pengguna yang kurang optimal dalam menggunakan website Itinerary Travaa untuk merencanakan perjalanan wisata menunjukkan perlunya perancangan ulang. Penelitian ini menerapkan metode User Centered Design (UCD) dalam proses perancangan ulang website Itinerary Travaa, dengan tujuan untuk memastikan website tersebut dapat digunakan dengan mudah dan efektif oleh pengguna. Evaluasi Usability terhadap website Itinerary Travaa sebelum redesign menunjukkan beberapa kelemahan dalam dengan nilai rata-rata Usability mencapai 59,78%. Setelah dilakukan perancangan ulang dengan pendekatan User Centered Design, hasil evaluasi menunjukkan peningkatan yang signifikan yakni meningkat sebesar 48,21% dengan nilai rata-rata Usability mencapai 88,62%. Rata-rata nilai Usability tersebut termasuk kriteria "Sangat Baik", menunjukkan bahwa penerapan metode User Centered Design berhasil menghasilkan website Itinerary Travaa yang memenuhi kebutuhan dan preferensi pengguna, serta memberikan pengalaman pengguna yang optimal dan memuaskan.
Penerapan Metode Content Based Filtering Dan K-Nearest Neighbor Dalam Sistem Rekomendasi Musik I Made Teja Sarmandana; I Made Widiartha; Luh Arida Ayu Rahning Putri; I Gede Santi Astawa
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

Current technological developments are able to change the way the younger generation enjoys music, where music can now be packaged in digital form, which is a new innovation in the music industry in Indonesia. Given the large amount of music data available on the internet, a system that provides services for users to search for their favorite music is really needed. The recommendation system will provide relevant information based on the preferences that the user wants to search for. Content Based Filtering recommends that users utilize the information contained in the data to use as parameters. The K-Nearest Neighbor (K-NN) algorithm is a method of classifying objects based on the closest training data to the object under test. In this study, accuracy testing techniques were used to measure the performance of the classification that has been carried out. The classification process that was created succeeded in obtaining the highest accuracy value at 90,49% with a value of k=9 which shows that the classification and recommendation process can run quite well. Keywords: Accuracy, Content Based Filtering, Classification, Recommendation System, K-Nearest Neighbor, Music
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
Pengolahan Big Data Dengan Sharding Database Dan Kappa Architecture Untuk Data Time-Series Kompiang Gede Sukadharma; I Putu Gede Hendra Suputra; Ida Ayu Gde Suwiprabayanti Putra; Luh Arida Ayu Rahning Putri
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

In the digital era, managing and processing Big Data presents challenges. Historical or time-series data is crucial for decision-making. Distributed database systems, specifically database sharding, efficiently distribute CPU load and memory usage. Kappa Architecture outperforms Lambda Architecture by 220% in terms of speed, though Lambda has slightly higher reliability. This research integrates database sharding with Kappa Architecture using Kaggle’s time-series data. Load testing showed 60.46% performance for data retrieval across distributed databases. Remarkably, the system’s reliability reached 100%, even when one of the services failed, handling 10000 new data entries. Furthermore, with the same configuration, it was found that the utilization of Kappa Architecture and sharding database resulted in a 70.26% better performance compared to the system solely implementing sharding database.
Aplikasi Pengukur Tingkat Kepuasan Alumni Berdasarkan Data Tracer Study Berbasis Metode Machine Learning Supriana, I Wayan; Pramartha, Cokorda; Putri, Luh Arida Ayu Rahning
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 7 No. 1 (2024): Jurnal RESISTOR Edisi April 2024
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v7i1.1561

Abstract

Pelacakan lulusan atau yang lebih dikenal dengan tracer study adalah salah satu feedback dari alumni terhadap perguruan tinggi. Tracer study merupakan salah satu kegiatan wajib bagi perguruan tinggi dalam menggali berbagai macam aspek yang dibutuhkan dari alumni seperti data diri ketika menjadi mahasiswa, pelayanan selama kuliah, lamanya mencari kerja serta kesesuaian dengan pekerjaan. Setiap tahun ratusan mahasiswa sudah diluluskan oleh perguruan tinggi, dengan begitu jumlah alumni dari tahun ke tahun terus bertambah, perlu dilakukan analisis yang mendalam dengan teknik data science untuk mendapatkan insight data tracer study sebagai evaluasi oleh program studi. Analisis data tracer study diperlukan untuk perbaikan proses pembelajaran melalui pengukuran tingkat kepuasan lulusan. Adapun tujuan penelitian, yaitu membuat analisis model prediksi tingkat kepuasan alumni berdasarkan klasifikasi data tracer study menggunakan metode machine learning yaitu algoritma K-Means sebagai klusterisasi data, algoritma Support Vektor Machine sebagai klasifikasi data. Model penilaian menggunakan 87 fitur data tracer study, dimana algoritma Support Vektor Machine menggambarkan klasifikasi data tracer study dengan tingkat akurasi sebesar 90%. Berdasarkan faktor yang dapat mengklasifikasikan tingkat kepuasan alumni, maka dapat menentukan kualitas lulusan akan semakin baik.
Analisis Penggunaan Metode MFCC Dalam Mendeteksi Emosi pada Musik Indonesia Eka Wijaya, I Komang Sutrisna; Putri, Luh Arida Ayu Rahning
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 4 (2023): JNATIA Vol. 1, No. 4, Agustus 2023
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

This research aims to develop a method for detecting emotions in Indonesian music using the MFCC method. The MFCC method is used to identify emotions in music by measuring acoustic features of music, such as tempo, pitch, and intensity. The study uses a dataset of 40 Indonesian music samples from various regions, which are analyzed to detect emotions. The confusion matrix is used to calculate the precision of emotion prediction. The results show that the MFCC method is effective in detecting emotions in Indonesian music. The research also highlights the importance of using a representative dataset to improve the accuracy of emotion identification in music. This study provides insights into the challenges and opportunities of using the MFCC method for emotion detection in Indonesian music.. Keywords: MFCC, emotion detection, Indonesian music, dataset, confusion matrix.
Klasifikasi Genre Musik Menggunakan Support Vector Machine Berdasarkan Spectral Features Diputra Wiraguna, I Gusti Agung Ngurah; Putri, Luh Arida Ayu Rahning
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 focuses on music genre classification based on spectral features and Support Vector Machine (SVM). Features such as Spectral Centroid, Spectral Rolloff, Spectral Flux, and Spectral Bandwidth are extracted from MP3 music audio. The dataset comprising 4 music genres is utilized for training and testing the system. The extracted spectral features are fed into the SVM classifier to predict the genre of test samples. Python and machine learning are both used in developing the system while the experimental results demonstrate the effectiveness of SVM in accurately classifying music genres based on the current extracted features. The proposed approach contributes to automated music genre classification systems, facilitating music organization, recommendation, and retrieval. This research promotes advancements in music information retrieval and enhances user experience in music-related applications. Keywords: Music Feature Extraction, MP3, Music, Spectral Features, SVM
Evaluasi Desain Aplikasi Delivery Menggunakan Metode System Usability Scale Sidharta, Matthew Novan; Putri, Luh Arida Ayu Rahning
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 2 No 1 (2023): JNATIA Vol. 2, No. 1, November 2023
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Technology continues to develop from time to time and has been widely used to support various forms of services, such as delivery service. However, not every aspect can be fulfilled by this kind of application. The delivery application which is selected by researcher in this paper is disguised. The application under this research will be evaluated in terms of UI/UX design. The usability testing method that will be used in the evaluation process is the system usability scale. The result shows that the system usability scale’s score on the application is at 54,16. To improve the application performance, especially in terms of UI/UX, the application can be redesigned for the next research. Keywords: Delivery, UI/UX Design, Usability Testing, System Usability Scale
Perancangan Model Ontologi untuk Silsilah Keluarga Puri Agung Peliatan Palguna, I Wayan Gede Adi; Pramartha, Cokorda Rai Adi; Putri, Luh Arida Ayu Rahning
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

Family tree is a diagram representing family relationships that usually contains records describing family origins and family relationships over several generations. Puri was the center of government of the Balinese kingdoms in ancient times as well as designation for the residence of Balinese nobles, especially those who still have blood relations with Balinese kings. Even though it has been around for a long time, the lack of information and track record creates a need for very important information. For this reason, ontology plays a role in representing knowledge explicitly. Ontology is the backbone of the semantic web, which is a technology that allows machine to understand the content of information. The development of ontology model uses Methontology method which has advantage related to the description of each activities. Methontology allows to integrate the ontology model that has been built previously for further development. Silsilah Keluarga Puri Agung Peliatan’s ontology produces 14 classes, 25 object properties, 8 data properties, and 15 instances. The ontology evaluation procedure using SPARQL queries also yields suitable outcomes.
Ekstraksi Ciri Pada Pola Ikan Gabus Hias Dengan Metode Grey Level Coocurency Matrix Bhavanta, I Made Adika; Ayu Rahning Putri, Luh Arida
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

Channa dapat menjadi koleksi dan mengisi akuarium di rumah, selain itu nilai ikan gabus hias ini juga tinggi ketika di ekspor. Identifikasi dari ikan ini secara pengelihatan diperlukan pengetahuan dengan memperhatikan pola dan warna dari setiap spesies ikan tersebut Pola dari setiap spesies memiliki ciri tersendiri, namun karena kurangnya pemahaman, informasi, dan ilmu tentang motif ikan ini, masyarakat mengalami kesulitan dalam mengenali dan mengklasifikasi ikan tersebut. Algoritma GLCM merupakan metode dalam pengenalan pola, metode ini merupakan matriks yang terbentuk berdasarkan citra grayscale dan matriks ini menghitung frekuensi kemunculan suatu nilai piksel horizontal terhadap piksel vertikal yang bersebelahan maupun diagonal. Pada penelitian ini menggunakan data citra sebanyak 30 pada 3 jumlah spesies, yaitu channa gachua, channa maruliodes, dan channa micropeltes. Menggunakan beberapa library pada google colabs dan menghasilkan proses ekstraksi fitur dengan derajat 0 dan 45. Hasil dari ekstraksi fitur ini akan digunakan sebagai data untuk pengenalan pola yaitu pada fitur energy, correlation, dan homogenity.
Co-Authors Agus Muliantara Anak Agung Istri Ngurah Eka Karyawati Anak Agung Istri Ngurah Eka Karyawati Ari Putra, I Kadek Riski Ariyawan, Made Dwi Artayani, Adis Luh Sankhya Bhavanta, I Made Adika Cokorda Pramartha Cokorda Rai Adi Pramartha Diatmika, I Kadek Angga Kusuma Diputra Wiraguna, I Gusti Agung Ngurah Dwi Payana, I Kadek Krisna Eka Wijaya, I Komang Sutrisna Enga Prinda Adu Gede Sudimahendra Genaldy Septianto Mbuik Giri, I Nyoman Yusha Tresnatama Gst. Ayu Vida Mastrika Giri Guna, Putu Wahyu Tirta Gusto Gibeon Ginting I Dewa Agung Adwitya Prawangsa I Dewa Made Bayu Atmaja Darmawan, I Dewa Made Bayu I Gede Arta Wibawa I Gede Erwin Winata Pratama I Gede Santi Astawa I Gede Tendi Ariyanto I Gusti Agung Gede Arya Kadyanan I Gusti Ngurah Anom Cahyadi Putra I Gusti Ngurah Febri Ananda Krisna I Kadek Krisna Dwi Payana I Kadek Riski Ari Putra I Ketut Adian Jayaditya I Ketut Gede Suhartana I Komang Kumara Saduadnyana I Komang Sutrisna Eka Wijaya I Made Suma Gunawan I Made Teja Sarmandana I Made Widiartha I Made Widiartha I Putu Gede Hendra Suputra I Putu Indie Surya Jayadi I Putu Rama Anadya I Wayan Gede Adi Palguna I WAYAN SANTIYASA I Wayan Supriana Ida Ayu Gde Suwiprabayanti Putra Ida Bagus Ari Widhiana Ida Bagus Made Mahendra Kadek Cahya Dewi Kadek Vincky Sedana Kompiang Gede Sukadharma Luh Gede Astuti Ngurah Agus Sanjaya ER Ngurah Diputra Wiraguna, I Gusti Agung Ni Putu Sintia Wati Ni Putu Subhasini Dewi Sukma Ni Wayan Windayani Palguna, I Wayan Gede Adi Pradnyaditha, Kadek Yoga Vidya Pratama, I Gede Erwin Winata Putu Audy Cipta Pratiwi Putu Risky Andrean Rizky, Muhammad Firyanul Satria Mahagangga, Made Dhandy Sidharta, Matthew Novan Sri Hartati Sudimahendra, Gede Wahyu Ramadhan Wayan Gede Suka Parwita Wayan Kiki Oktalao Wikardiyan, Aditya Yana, Santa Yasa, I Gede Cahya Purnama