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All Journal Jurnal Ilmu Komputer E-Journal of Tourism (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Buana Informatika Jurnal Teknologi Informasi dan Ilmu Komputer JUTIK : Jurnal Teknologi Informasi dan Komputer JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING SINTECH (Science and Information Technology) Journal Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Eduvest - Journal of Universal Studies Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
Ngurah Agus Sanjaya ER
Universitas Udayana
Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Neuroscience Social Sciences Other

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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

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

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.
Application of Gated Recurrent Unit in Electroencephalogram (EEG)-Based Mental State Classification Giri, Gst. Ayu Vida Mastrika; Sanjaya ER, Ngurah Agus; Suhartana, I Ketut Gede
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8825

Abstract

The classification of mental states based on electroencephalogram (EEG) recordings has recently gained significant interest in cognitive monitoring and human-computer interaction fields. Due to high signal variability and sensitivity to noise, correct classification is still tricky, even with advances in the analysis of EEG signals. Among deep learning models, Gated Recurrent Unit (GRU) models have established great potential for sequential EEG data analysis. The applications of the GRUs are less reviewed in tasks concerning classification cases of mental states compared to hybrid and convolutional models. Based on this paper, we will propose a method for developing a model based on the GRU network trained with raw EEG data in the classification tasks of mental states of concentration and relaxed conditions. We analyzed 400 EEG recordings taken from 10 subjects within a controlled environment and collected using the Muse EEG Headband. The mean, standard deviation, skewness, kurtosis, power spectral density, zero-crossing rate, and root mean square were extracted as statistical features from the raw EEG data. After parameter tuning, the GRU-based model achieved an excellent average accuracy value of 95.94% and also yielded precision, recall, and F1-scores within the range of 0.95 to 0.97 over 5-fold cross-validation. This shows that GRU works well in classifying mental states based on the EEG data.
PENGEMBANGAN APLIKASI BERBASIS OPTICAL CHARACTER RECOGNITION (OCR) DI KANTOR PERTANAHAN KABUPATEN KARANGASEM Gede Krisna Surya Artajaya; Agus Muliantara; Ngurah Agus Sanjaya ER
Jurnal Pengabdian Informatika Vol. 2 No. 4 (2024): JUPITA Volume 2 Nomor 4, Agustus 2024
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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

Abstract

Tujuan dari pengabdian ini adalah untuk mengembangkan aplikasi berbasis Optical Character Recognition (OCR) di Kantor Pertanahan Kabupaten Karangasem guna mengambil teks yang ada dalam arsip digital yang ada. Aplikasi ini dikembangkan menggunakan bahasa pemrograman Python beserta berbagai library pendukung. Fitur-fitur dalam aplikasi ini terdiri atas fitur Scan untuk mengambil teks yang diinginkan, Copy Text untuk menyalin teks, Edit Text untuk mengedit teks, dan Delete Text untuk menghapus teks yang sudah disimpan. Diharapkan aplikasi yang telah dikembangkan dapat membantu dalam pengolahan data digital di Kantor Pertanahan Kabupaten Karangasem dalam masa transformasi digital
Pengaruh Teknik Penanganan Negasi Dalam Analisis Sentimen Darmayasa, I Nengah Oka; ER, Ngurah Agus Sanjaya; Kadyanan, I Gusti Agung Gede Arya; Karyawati, Anak Agung Istri Ngurah Eka
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 2: April 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025129079

Abstract

“Garbage in, garbage out” merupakan sebuah ungkapan klasik dalam data science yang menyatakan bahwa kualitas keluaran suatu sistem bergantung pada kualitas data yang dimasukkan. Dalam klasifikasi sentimen, negasi memainkan peran penting dalam menentukan polaritas sentimen kalimat, tetapi sering kali dihapus pada tahap preprocessing sebagai stopword, yang dapat menghilangkan konteks negasi tersebut. Penelitian ini mengevaluasi dampak dua teknik penanganan negasi Next Word Negation dan penggantian antonim terhadap performa Naïve Bayes Classifier dan Support Vector Machine Classifier. Teknik Next Word Negation menggabungkan kata penanda negasi dengan kata setelahnya seperti “tidak cepat” menjadi “tidak_cepat”. Sementara itu, teknik penggantian antonim mengganti kata penanda negasi dan kata setelahnya dengan antonim dari kata setelahnya, misalnya “tidak cepat” menjadi “lambat”. Hasil penelitian menunjukkan bahwa teknik penanganan negasi meningkatkan akurasi Naïve Bayes dari 82,94% tanpa penanganan negasi menjadi 85,88% dengan Next Word Negation dan 87,64% dengan penggantian antonim. Untuk Support Vector Machine, akurasi meningkat dari 84,70% tanpa penanganan negasi menjadi 89,41% dengan penggantian antonim dan 88,23% dengan Next Word Negation. Abstract “Garbage in, garbage out” is a classic expression in data science that states the quality of a system’s output depends on the quality of the input data. In sentiment classification, negation plays a crucial role in determining the sentiment polarity of a sentence but is often removed during the preprocessing stage as a stopword, potentially eliminating the context of negation. This study evaluates the impact of two negation-handling techniques, Next Word Negation and antonym replacement, on the performance of Naïve Bayes Classifier and Support Vector Machine Classifier. The Next Word Negation technique combines the negation marker with the following word, for example, “tidak cepat” becomes “tidak_cepat”. Meanwhile, the antonym replacement technique replaces the negation marker and the following word with the antonym of the following word, for example, “tidak cepat” becomes “lambat”. The results of the study show that negation-handling techniques improve the accuracy of Naïve Bayes from 82.94% without negation handling to 85.88% with Next Word Negation and 87.64% with antonym replacement. For the Support Vector Machine, accuracy increases from 84.70% without negation handling to 89.41% with antonym replacement and 88.23% with Next Word Negation.
SISTEM TRACKING LINEN DI RUMAH SAKIT BALIMED KARANGASEM I Nengah Oka Darmayasa; Ngurah Agus Sanjaya ER; Gusti Ayu Vida Mastrika Giri
Jurnal Pengabdian Informatika Vol. 2 No. 4 (2024): JUPITA Volume 2 Nomor 4, Agustus 2024
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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

Abstract

Laundry rumah sakit merupakan tempat pencucian linen yang dilengkapi dengan sarana penunjang seperti mesin cuci, alat disinfektan, mesin uap (steam boiler), pengering, meja, dan mesin setrika. Di dalam laundry, barang-barang linen yang digunakan di sebuah rumah sakit diproses seperti mencuci, mendisinfektasi, dll untuk kemudian didistribusikan kembali. Di Rumah Sakit BaliMed Karangasem sudah menerapkan hal tersebut. Akan tetapi, sistem pencatatan atau tracking terhadap linen-linen yang keluar-masuk laundry masihlah sangat kurang. Pencatatan yang dilakukan hanyalah sebatas berapa banyak linen yang masuk dan juga berapa yang keluar. Hal ini menyebabkan banyaknya linen yang hilang karena kebanyakan linen tersebut tidak diketahui keberadaannya di mana dan juga sulitnya untuk melakukan koordinasi ke unit tujuan awal linen dikirimkan. Solusi yang ditawarkan untuk memperbaiki hal ini adalah dengan membuat sebuah sistem manajemen rumah sakit yang berupa website seperti admin dashboard yang didalamnya memungkinkan admin dari pihak laundry untuk memilih linen-linen berdasarkan kode barangnya yang nantinya dapat diganti status keberadaannya apakah sedang berada di ruang laundry atau sedang didistribusikan ke unit lain. Website ini dibuat semudah mungkin untuk digunakan dengan menu yang mudah dimengerti dan digunakan. Dengan adanya sistem tracking berbasis website ini, diharapkan dapat mengurangi kejadian hilangnya linen hilang di Rumah Sakit BaliMed Karangasem.
Co-Authors Abel Gilang Saputra Abimanyu, Cokorda Gde Aditya Nugraha, Anak Agung Aditya Premana Putra Adu, Enga Prinda Afandi, M Faisal Agus Muliantara Agus Muliantara Agustiana, Ni Putu Arisya 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 Nicholas Tejasukmana Putra 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 Satria Bimantara I Made Surya Adi Palguna I Made Widiartha I Made Widiartha I Nengah Oka Darmayasa I Putu Aditya Pradana I Putu Diska Fortunawan I Putu Edy Suardiyana Putra I Putu Gede Hendra Suputra I Wayan Gede Gemuh Raharja R.L. I Wayan Gede Gemuh Raharja RL I WAYAN SANTIYASA I Wayan Sugiana Ida Bagus Gede Basudewa Weda Ida Bagus Gede Dwidasmara Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra Ida Bagus Made Surya Widnyana Ida Bagus Rahadi Putra Karel Leo Rivaldo Komang Krisna Jaya Nova Antara Kurniadi, Kenny Luh Arida Ayu Rahning Putri Luh Arimas Pertiwi Luh Gede Astuti Luh Gede Astuti Luh Gede Tresna Dewi Luh Putu Eka Nadya Wati LUH PUTU IDA HARINI M. Faisal Afandi 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 Ayu Wirasih Ni Made Dian Kurniasari Ni Made Gita Satviki Nirmala 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 Putu Ardi Sudarmika Raharja, Made Agung Riana Pramesti Putri Safira Sinta Wahyuni, Ni Made Suryawan, Albertus Ivan Wayan Citra Wulan Sucipta Putri Yasa, I Gede Cahya Purnama