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All Journal Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Buana Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Ketut Gede Suhartana
Program Studi Teknik Informatika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Udayana
Humanities Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

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Penerapan Metode Fast Independent Component Analysis (FastICA) dalam Memisahkan Vokal dan Instrumen Seni Geguntangan Luh Arida Ayu Rahning Putri; I Gede Erwin Winata Pratama; I Dewa Made Bayu Atmaja Darmawan; A. A. I. N. Eka Karyawati; Ida Bagus Made Mahendra; I Ketut Gede Suhartana
Jurnal Buana Informatika Vol. 13 No. 1 (2022): Jurnal Buana Informatika, Volume 13, Nomor 1, April 2022
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v13i1.5693

Abstract

Abstract. Application of Fast Independent Component Analysis (Fastica) Method in Separating Vocals and Instruments in Geguntangan. Gamelan Geguntangan is often used in religious ceremonies to accompany ceremonies and entertain the public. Along with its development, the Geguntangan gamelan is also used to accompany the Pesantian. Geguntangan recording plays instruments and vocal sounds, most of which have been mixed. The mixed sounds caused the learning process to be less effective for people who will study Pesantian. The students could not focus because of the distracting sound of the instrument. This study aims to separate the sound of instruments and vocals of Geguntangan using deflationary-based FastICA. The non-linear function used is Logcosh. This study also examines the effect of mixing matrix variables and alpha values on nonlinear functions on SDR, SIR, and SAR values. The results of the paired t-test carried out by these two values did not have a significant effect on SDR, SIR, and SAR. The difference in the average time of the mixing matrix testing process is 0.09 seconds and 0.42 seconds for testing the alpha value.Keywords: Pesantian, Geguntangan, BSS, FastICA, Deflationary Based. Abstrak. Gamelan Geguntangan sering dipakai dalam upacara keagamaan baik untuk mengiringi jalannya upacara dan hiburan masyarakat. Seiring perkembangannya, gamelan Geguntangan juga digunakan untuk mengiringi Pesantian. Pada rekaman Geguntangan terdapat suara instrumen dan vokal yang sebagian besarnya sudah tercampur. Hal ini menyebabkan proses belajar yang kurang efektif bagi orang yang akan belajar Pesantian. Para pemelajar tidak bisa fokus karena adanya suara instrumen yang mengganggu. Penelitian ini bertujuan untuk memisahkan suara instrumen dan vokal seni Geguntangan menggunakan deflationary based FastICA. Fungsi non linear yang digunakan adalah Logcosh. Penelitian ini juga menguji pengaruh variabel matriks pencampuran dan nilai alpha pada fungsi nonlinear terhadap nilai SDR, SIR dan SAR. Hasil uji-t berpasangan yang dilakukan kedua nilai ini tidak mempunyai pengaruh yang signifikan terhadap SDR, SIR dan SAR. Selisih rata-rata waktu proses pengujian matriks pencampuran ialah 0.09 detik dan 0.42 detik untuk pengujian nilai alpha.Kata Kunci: Pesantian, Geguntangan, BSS, FastICA, Deflationary Based.
Implementasi Sistem Pakar Dengan Metode Forward Chaining Untuk Diagnosa Penyakit Kulit Anjing Ida Putu Ari Jayadinanta; 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.p03

Abstract

Dogs are humans' favorite pets because of the various advantages possessed by these animals. If you have a disease, usually the owner of the dog will throw it away for various reasons, such as lack of knowledge about dog diseases and the limited presence of veterinary clinics. One of the common diseases suffered by dogs is skin disease. The research stages started from Literature Study, Data Collection, System Development (CLI), and Results. The source of knowledge of this expert system for diagnosing dog skin diseases consists of types of dog diseases and their symptoms obtained from information sources on Literature Studies/Libraries available on the internet. The results of the implementation are the CLI System Start Page, the Confirmation Page for Starting Diagnosis, the Diagnosis Page, the Diagnosis Results Page, and the Confirmation Page for Performing the Diagnosis Again. This expert system is expected to help dog owners to diagnose diseases based on visible symptoms.
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.
Konversi Suara ke MIDI Menggunakan Short Time Fourier Transform Sebagai Virtual Midi Controller Pada Digital Audio Workstation Yoel Samosir; I Ketut Gede Suhartana; 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.p24

Abstract

Music is inseparable from everyday life, and its demand continues to increase with technological advancements. Amateur music producers are increasingly using digital equipment such as MIDI controllers to create music independently. However, MIDI controllers generally come with a high price tag, and not all musicians have the ability to play the piano or keyboard. This research develops a method for converting sound into MIDI format using the Short-Time Fourier Transform (STFT) and analyzes the accuracy of pitch detection and the reliability of the generated information. Audio recordings from various musical instruments and human voices are used as input in a web-based system. The STFT method is applied to the audio signal to identify and convert pitches into MIDI notations. The analysis results show that the STFT method is capable of producing adequate accuracy in pitch detection, reaching 24.216621%.Factors such as audio quality, STFT parameters, and threshold settings significantly influence the conversion results. Using good audio quality, selecting appropriate STFT parameters, and optimizing the threshold settings can improve pitch detection accuracy.
Sistem Pencocokan Aksara Bali Menggunakan Template Matching Dan Komputasi Paralel I Gede Arta Wibawa; I Gede Tendi Ariyanto; Luh Arida Ayu Rahning Putri; I Ketut Gede Suhartana; I Gusti Agung Gede Arya Kadyanan; Luh Gede Astuti
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 11 No 4 (2023): JELIKU Volume 11 No 4, May 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.v11.i04.p30

Abstract

Aksara bali merupakan aksara tradisional yang digunakan untuk menulis bahasa dan sastra bali. Aksara bali juga merupakan salah satu kekayaan budaya bali. Namun aksara bali memiliki keunikan dari bentuknya yang hampir sama satu dengan yang lainnya, dan beberapa tulisan hanya dibedakan oleh satu guratan garis. Hal tersebut dapat mempersulit dalam pembelajarannya juga dalam pengembangan aplikasinya di era yang modern ini. Jadi oleh sebab saya melakukan penelitian dalam pembuatan sistem pencocokan aksara bali menggunakan template matching dan komputasi paralel agar dapat mengetahui berapa nilai dari rata2 ketidakmiripan dari setiap huruf aksara bali agar dapat menjadi acuan dalam pengembangan aplikasi yang berhubungan dalam aksara bali. Dalam penelitian ini saya menggunakan metode template matching untuk mengetahui nilai eror rata2 dari setiap huruf akrasa bali yang terdapat pada font bali simbar. Dari metode tesersebut akan mencocokan setiap nilai pixel-pixel dari huruf aksara bali yang sudah diolah dalam proses binerisasi untuk mendapatkan nilai eror. Nilai eror tersebut akan di cari rata2nya dan akan di buat table agar mempermudah dalam mencari nilai MSE yang terbesar atau tulisan aksara bali yang memiliki nilai kemiripan yang kecil. Dalam proses template matching tersebut juga di sisipkan komputasi paralel sekaligus melakukan perbadingan antara aplikasi yang menggunakan komputasi paralel dan tidak mennggunakan komputasi paralel agar dapat mengetahui terjadi perbedaan waktu dalam pemrosesan atau tidak. Berdasarakan penelitian yang dilakukan, hasil yang didapat nilai MSE terbesar yaitu 0,071354167 memiliki kemiripan 93%. Dimana ini menunjukan bahwa kemiripan aksara bali dengan yang lainnya itu memiliki kemiripan diatas 90% dan hasil waktu proses data sistem yang menggunakan komputasi paralel adalah 4977 second dan sistem yang tidak menggunakan komputasi paralel adalah 4789 second. Kata kunci : Tamplate matching, komputasi parallel, pencocokan aksara bali
Android, Alkitab APLIKASI ALKITAB SAAT TEDUH PADA MOBILE DEVICE BERBASIS ANDROID. Krishella Naomi D’laila Rumy; I Gusti Ngurah Anom Cahyadi Putra; 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.p23

Abstract

ABSTRACT Along with the development of technology, the use of mobile devices as a companion in carrying out daily activities has greatly facilitated mankind. This study aims to design an android-based Bible application, this application aims to make it easier for users to access the Bible on a smartphone device. In this Bible application, it consists of chapters that, when touched with a finger, will contain the entire contents of the chapter you want to read. This is because some phones already have more functions and capabilities than just basic functions. Android as an operating system that can be embedded on mobile devices has the ability to be able to install applications needed by application users. Seeing these considerations, the author wants to build an android-based mobile application. The expected results of this study are an android-based Bible application that applies language translation (TB), a language that is easier for users to understand. Keywords : Android, Bible.
Klasterisasi Customer Lifetime Value Pelanggan Menggunakan K-Means pada Online Travel Agency I Putu Ananta Wijaya; I Ketut Gede Suhartana
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.p01

Abstract

Product sales are found in companies operating in the e-commerce sector, one of which is an online travel agency (OTA). Post covid-19, companies are on the rise with more and more competition emerging and customers turning to e-commerce competitors. Maintaining relationships from one customer to another is necessary. Historical customer transaction data can be used to perform clustering. Before that, an RFM model was created, namely recency, frequency and monetary so that customer lifetime value could be calculated. The clustering used is K-Means because it is simple and efficient. Determining the optimal number of clusters uses the Gap Statistics method. The number of clusters will be validated for separation using the Davies Bouldin Index method. Each data cluster is then searched for the average value for each feature of the RFM model. The result will be multiplied by the weight obtained from the AHP. The cluster with the highest loyalty was found in cluster 2, namely 0.0297. The frequency feature value in cluster 2 is also the highest value. This indicates that cluster 2 is the customer with the highest loyalty value. Companies can design strategies for customers with programs such as giving discounts or points. Meanwhile, in the cluster with the lowest loyalty value, a personalized product program can be created.
Klasifikasi Jenis Sampah Menggunakan Metode Transfer Learning Pada Convolutional Neural Network (CNN) Wahyu Vidiadivani; I Ketut Gede Suhartana
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.p11

Abstract

Indonesia merupakan salah satu negara sebagai penghasil sampah terbanyak di dunia. Produksi sampah mengalami penambahan seiring pertumbuhan penduduk yang signifikan dan meningkatnya kebutuhan masyarakat. Jumlah sampah yang sangat besar dan beragamnya jenis sampah yang tersebar di masyakarat, perlu adanya klasifikasi yang dapat mengidentifikasi jenis-jenis sampah ke beberapa kategori sehingga mudah untuk didaur ulang kembali. Klasifikasi jenis sampah pada penelitian ini dibagi menjadi 12 jenis, yaitu battery, biological, brown-glass, cardboard, clothes, green-glass, meal, paper, plastic, shoes, trash, dan white-glass menggunakan metode Transfer Learning pada Convolutional Neural Network (CNN). CNN (Convolutional Neural Network) merupakan salah satu algoritma deep learning yang populer digunakan untuk klasifikasi citra dan dinilai memiliki performa yang bagus. Pada penelitian ini, arsitektur yang digunakan adalah EffecienNetB0. Dataset yang digunakan dengan total data sebanyak 12412 data, data yang tervalidasi sebanyak 1552 data, dan data yang digunakan pada proses testing sebanyak 1552 data yang terbagi ke 12 kelas.
Development of Ontology Models on Vitamin Suplements Domain I Made Dirga Adi Guna; 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.p01

Abstract

The amount of vitamin suplements that sold in the world today causes people have more option to consider when choosing the right vitamin suplements to maintain their health and fulfill their nutritional adequacy rate. The number of vitamin suplements product available with various types and criteria requires consuments to be more careful when choosing the right vitamin suplements for their body. The right solution to overcome this problem is to use ontology models. The ontology method used in this research is Methontology. This method is one of the most popular method of building an ontology model that can be used as a reference for further research. The development of ontology models in this research use an app called Protégé 5.5.0. and in the evaluation process, ontology gives great result on answering the questions that given by users.
Implementasi Business Intelligence Menggunakan Metode OLAP untuk Pengambilan Keputusan Penjualan Properti Lidya Elisabet Theogracia Silitonga; I Putu Gede Hendra Suputra; Ida Ayu Gde Suwiprabayanti Putra; I Ketut Gede Suhartana
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

Based on data from the Central Statistics Agency, population growth in Indonesia reaches 2 million – 3 million people every year. In this case, with increasing population growth, the need for housing also increases. The high demand for housing provides opportunities for property companies, one of which is PT Anugerah Indah Prima in the city of Medan. Apart from providing great opportunities, business in the property sector also has intense competition so that in order to continue to progress and develop, PT Anugerah Indah Prima must continue to be innovate in developing its business. In making a decision to develop its business, the company still faces obstacles, namely processing property sales data manually using Microsoft Excel. This data processing can not meet the needs of managers and marketing parties in making decision because the reports produced are still general information and difficult to understand. Therefore, this research focuses on designing a dashboard that can provide insightful information in company decision making. This research utilizes business intelligence, ETL(extract, transform, and loading), OLAP(online analytical processing), and forecasting. Keywords: Information Dashboard, Business Intelligence, Property Business
Co-Authors -, Daniel Surya Wijaya Adhana, Finandito Adi Guna, I Made Dirga Anak Agung Istri Ngurah Eka Karyawati Anggrek, Denise Valeria Ari Mogi, I Komang Artawan, Komang Nova Astrawan, Anak Agung Made Krisna Bagaskara, Aditya Caesar Brahmantha, Gede Putra Aditya Cahyani, Ni Komang Santi Canistya Chandra, Putu Isthu Chelsy Elisabet Gultom Cokorda Pramartha Dewi, Ni Kadek Yulia Diani, I Dewa Ayu Giri, Gst Ayu Vida Mastrika Giri, Gst. Ayu Vida Mastrika Gst. Ayu Vida Mastrika Giri Gultom, Chelsy Elisabet Guna Wicaksana, I Gusti Ngurah Gusto Gibeon Ginting Harta, I Gede Bendesa Aria I Dewa Ayu Diani I Dewa Made Bayu Atmaja Darmawan I Dewa Made Bayu Atmaja Darmawan, I Dewa Made Bayu I Gede Arta Wibawa I Gede Bagus Anom Adiputra I Gede Erwin Winata Pratama I Gede Surya Rahayuda I Gede Teguh Satya Dharma I Gede Tendi Ariyanto I Gusti Agung Gede Arya Kadyanan I Gusti Ngurah Anom Cahyadi Putra I Kadek Bagus Deva Diga Dana I Made Dirga Adi Guna I Made Widhi Wirawan I Made Widiartha I Nyoman Budhiarta Suputra I Putu Ananta Wijaya I Putu Gede Hendra Suputra I Putu Gede Mahardika Adi Putra I Wayan Pande Putra Yudha I WAYAN SANTIYASA I Wayan Supriana Ida Ayu Gde Suwiprabayanti Putra Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra Ida Putu Ari Jayadinanta Indra Permana Putra Jaya, I Gede Wilantara Kartika Maharani, Ida Ayu Bintang Kewa Nilan, Yasinta Anita Khaerul Anwar Khatami, Maula Krishella Naomi D’laila Rumy Lesmana, Kenny Belle Lidya Elisabet Theogracia Silitonga Luh Arida Ayu Rahning Putri Luh Gede Astuti Maha, Ni Made Krisna Maharani Putri Suari Mahardika Adi Putra, I Putu Gede Masduki, Aan Ngurah Agus Sanjaya ER Ni Luh Eka Suryaningsih Nuboba, Barneci Henderika Nurbidin, krisphino Saputra Partamayasa, I Wayan Gede Pawitradi, Gede Pramathana, Raindra Pratama, Berlin Putra, I Dewa Agung Cahya Putra, I Kadek Bagus Deva Diga Dana Putra, I Putu Denny Indra Raharja, Made Agung Rianty, Winda Setiawan, Vinna Soeparman, William Suardana, Komang Yudi Adnyana Suwiprabyanti Putra, Ida Ayu Gde Tri Adi Ningsih Veithzal Rivai Zainal Vidiadivani, Wahyu Wahyu Vidiadivani Wahyuni, Era Wijaya, Daniel Surya Wijaya, I Made Agus Rama Winata, Mas Adi Wirasih, Ni Made Ayu Wulandari, Desak Putu Sri Yasinta Anita Kewa Nilan Yoel Samosir Yudha, I Wayan Pande Putra