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All Journal Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Sains dan Teknologi JUIMA : Jurnal Ilmu Manajemen Jurnal Ilmiah Kursor JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Bhakti Persada Jurnal Aplikasi IPTEKS Jurnal Pengabdian Mandiri Dharma Jnana Seminar Nasional Aplikasi Iptek (SINAPTEK) Jurnal Pengabdian Informatika (JUPITA) Paradharma: Jurnal Aplikasi IPTEK Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Nasional Teknologi Informasi dan Aplikasinya
Raharja, Made Agung
Universitas Udayana
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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Implementasi Steganografi Citra Gambar pada Sertifikat Hak Kekayaan Intelektual (HKI) Dewi, Ni Putu Anita; Raharja, Made Agung
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

Information-based technology in the digital era 4.0 currently has a very high influence on life. Many activities are carried out online, for example, meetings, lectures, ordering food, ordering transportation, applying for jobs and sending important files. Not a few of these online activities require image file transactions such as sending Intellectual Property Rights (IPR) image files. There are irresponsible people who can misuse someone's copyrighted work to carry out certain interests. Therefore, the IPR file used must be inserted with a message so that if something unexpected happens, it can quickly identify the culprit. Steganography is a method of inserting information into digital data to protect data ownership. This system will run on the website, create using JavaScript Framework that is React.js.
Implementasi Algoritma Support Vector Machine dalam Klasifikasi Deteksi Depresi dari Postingan pada Media Sosial Putri, Kameliya; Raharja, Made Agung
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

Mental health issues, such as depression, have significant impacts on individuals and society. Early identification and detection of these conditions are crucial steps in providing appropriate interventions and supporting better recovery. With the increasing use of social media, many people have started sharing their thoughts, feelings, and experiences online. Social media provides an abundant platform for users to express themselves and interact with others. Posts on social media often reflect individuals' emotional states. Therefore, analyzing the content of these posts can provide valuable insights for monitoring and early detection of depressive symptoms. Machine learning has been widely used for automated text mining and classification tasks. A classification method that can be used to classify social media posts into depression and normal classes is the support vector machine. Based on the testing results of the Support Vector Machine algorithm in classifying posts on social media, the highest accuracy value obtained was 95.5% using a parameter value of C equal to 0.25. The Precision, recall, and F-1 score values were 96%. Keywords: Mental healt issues, Depresion, Support Vector Machine, Classification
Algoritma Advanced Encryption Standard (AES-128) Dengan Mode ECB Dalam Pengamanan File Simangunsong, Haposan; Raharja, Made Agung
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

Data Protection is one of the important things to protect, important messages and information from corruption, compromise or loss so that messages and information remain safe. Encryption and decryption techniques are considered to be able to secure data properly by protecting files from being easily read or seen by unauthorized parties. In this case, the authors used a cryptography symmetric algorithm called Advanced Encryption Standard (AES) and Electronic Code Book (ECB) as a solution to existing problems. The AES algorithm process is divided into four steps, the first step is SubBytes, the second step is ShiftRows, the third step is MixColums and the las step is AddRoundKey. And using the SHA algorithm as the hashing function. The algorithm is applied to a web application and using python as a programming language. Advanced Encryption Standard (AES) Algorithm with ECB Mode can be implemented to encrypt and decrypt files. The use of AES will encrypt every 128bit block of the file until it becomes a ciphertext which is an array of encrypted bytes. The decryption process using the AES algorithm with ECB mode will decrypt every 128 bits of the ciphertext to produce the original byte array file. AES with ECB mode which is implemented in the python programming language can be used to encrypt media files such as images, audio and video with a good level of security.
Perancangan Aplikasi Crowdfunding Berbasis Website Nararia Ningrat, Putu Vidi; Raharja, Made Agung
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

In this modern era many technology have been created to help human do their work. One of them is Crowdfunding, where is this app or website that can funding easily. Crowdfunding make it easy for businessman that really need funds for theire business while development. User can also giving funds to various project that being development by businessman. This Crowdfunding sites create by JavaScript Framework with Database from GraphQl.
Implementasi Aplikasi "SahabatAnabul" Berbasis UCD Sebagai Website Pangkalan Informasi Anabul Siwastuti Cayadewi, Ni Luh Putu Ayu; Raharja, Made Agung
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

Currently, many people keep animals in their homes. Most of the animals they have are dogs and cats. Thus, they need a lot of information about the animals they keep. Therefore, to make it easier for people to find information about Anabul, an information website about Anabul was created, starting from the types of Anabul, its characteristics, what Anabul needs, and others. This journal produces a website based on the SahabatAnabul application. SahabatAnabul is a website to share all information about anabul, especially for dogs and cats. The resulting website can help people who have pets or want to know information about the types of dogs and cat breeds that exist in the world. Keywords: Friends of Anabul, Information, Anabul, Applications, Websites
Implementasi Random Forest Dengan LASSO Dalam Klasifikasi Penyakit Yang Ditularkan Melalui Nyamuk Pradyto, Kadek Dwitya Adhi; Raharja, Made Agung
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

Several diseases that can attack human health can be transmitted through disease vectors. One of the insects belonging to the disease vector is the mosquito. Diseases that can attack humans due to transmission through mosquitoes include malaria, dengue fever, chikungunya, yellow fever, rift valley fever, and many more. With so many types of diseases that are transmitted by mosquitoes and the symptoms that look quite similar, a classification process is carried out to distinguish the types of diseases. In this study, the classification was carried out using the Random Forest algorithm withthe LASSO algorithm for feature selection. It was found that the average accuracy values of the Random Forest before and after carrying out feature selection using LASSO were 88% and 76%, respectively. From the values obtained, it can be concluded that the Random Forest has better performance without feature selection using the LASSO method. Keywords: Classification, Random Forest, LASSO, Mosquito-Borne Diseases
Analisis Perancangan Web Aplikasi Goffeeshop Dengan Metode Atomic Design Dan User Centered Design Bendesa, Gde Agung Mandala; Raharja, Made Agung
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

Design patterns in Software Engineering generally provide solutions to recurring problems that often occur in software design. The subjective difference in design style is one of the obstacles experienced by Front-End Developers in designing the user interface design of slicing software, making the process of designing user interface designs tends to take a long time. This is the background of the author to design a Design System with the Atomic Design method in designing Goffeeshop Web Applications. In this research will be carried out using the Atomic Design method in the design process and the overall process of this research will use the User Centered Design method in several stages that are adapted to the research. Based on the test results, the research can be seen that the System Design that is designed can increase the productivity of a Front-End Developer in the design so that the time used is reduced because by utilizing the concept of the Atomic Design method. In addition, the resulting system results are more uniform and consistent. Then tested with the concept of User Centered Design using a questionnaire before and after the research design in accordance with usability indicators. Testing with a questionnaire before design is carried out to find out the solution and researchers can decide to create this information system, then a questionnaire is carried out after the design is carried out to be able to measure the level of user satisfaction with the Goffeeshop Web Application that has been designed which in this study an average of 69.6% of respondents users say this system is very easy and suitable.
Application Programming Interface (API) dengan Representational State Transfer (REST) untuk Ontologi Semantik Tembang Bali Suryana, Kadek Andre; Raharja, Made Agung; Pramartha, Cokorda
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

Technological developments and the era of globalization greatly affect the development of cultural heritage. One of the local cultural heritages in Bali is the Balinese song. Balinese songs are commonly used in traditional ceremonies or sung by children. In this study, the author uses semantic ontology technology to store knowledge in the form of a knowledge graph which will then be accessed through a query process to the Apache Jena Fuseki with a SPARQL query. This research succeeded in developing microservices in the form of a REST API to help receive and send requests properly. The REST API that has been created has successfully passed the test scenarios that have been carried out in this research.
Pengelompokan Lagu Populer untuk Musik Gym Menggunakan Metode K-Means Clustering Wesnawa, Pande Nyoman Weda; Raharja, Made Agung
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.p24

Abstract

Music streaming has emerged as the primary mode for individuals to enjoy music while exercising at the gym. Spotify, among the largest music streaming platforms, surveyed 2,000 gym users in the US, revealing that 82% utilize Spotify during workouts. Studies indicate music significantly influences workout quality. This study aims to cluster popular Spotify songs of 2023 using K-Means based on audio attributes like tempo, energy, and danceability. Data sourced from Kaggle's 2023 Spotify dataset underwent preprocessing. Utilizing the Elbow method, optimal cluster count determination yielded two clusters: one apt for gym use and another unsuitable. Out of 954 songs, 72.3% were gym appropriate. Visualizations via pie charts and 3D scatter plots depicted clusters based on BPM, energy, and danceability. Purity evaluation scored 1.0, ensuring accurate cluster formation. This research aids gym proprietors in crafting strategies to select motivating music, enhancing members' workout experiences. Keywords: Spotify, K-Means, Gym, Purity, Popular Song, Music Information Retrieval
Analisis Sentimen pada Ulasan Aplikasi myIM3 Menggunakan Multinomial Naive Bayes dengan TF-IDF Juliana, Ni Komang Ayu; Raharja, Made Agung
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 2 No 3 (2024): JNATIA Vol. 2, No. 3, Mei 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.i03.p25

Abstract

The digital service adoption in Indonesia has emerged as a primary trend to meet the needs of the millennial generation, seeking greater convenience and speed. Amidst this trend, self-service apps like MyIM3 by Indosat Ooredoo Hutchison have become a trusted solution for users to manage their services more efficiently. Sentiment analysis is crucial for understanding user responses to such apps. This study employs the Multinomial Naïve Bayes algorithm with hyperparameter alpha 0.8 and TF-IDF to analyze sen timent towards user reviews on Google Play Store for MyIM3. The dataset, sourced from Kaggle, consists of 8475 reviews, pre-processed and labeled to 8212 reviews. Model evaluation with an 80:20 split reveals an overall accuracy of 89%, with a precision of 86% for negative (0) and 93% for positive (1) labels. The recall for negative is 95% and positive is 81%. Thus, this research contributes to understanding user perspectives on MyIM3 and provides a basis for enhancing the quality of app-based services. Keywords: Multinomial Naive Bayes, myIM3, TF-IDF, Sentiment Analysis
Co-Authors Agus Muliantara Agus Tommy Adi Prawira Kusuma Alit Indrawan, I Gusti Ngurah Anak Agung Istri Ngurah Eka Karyawati Anak Agung Istri Ngurah Eka Karyawati Apsari, Made Sri Ayu Ari Mogi, I Komang Aulia Iefan Datya Ayu Nikki Asvikarani Bayu Prasetiyo Bendesa, Gde Agung Mandala Christian Tonyjanto Cokorda Pramartha Cokorda Pramartha Devan Bramantya Dewantara, I Komang Raka Dewi, Ni Putu Anita Gde Agung Mandala Bendesa Gerson Feoh Gst. Ayu Vida Mastrika Giri Gusto Gibeon Ginting Haposan Simangunsong Harta, I Gede Bendesa Aria I Dewa Made Bayu Atmaja Darmawan, I Dewa Made Bayu I Gede Acintia Udayana I Gede Arta Wibawa I Gede Santi Astawa I Gede Surya Rahayuda I Gusti Agung Ayu Istri Lestari I Gusti Bgs Darmika Putra I Gusti Ngurah Anom Cahyadi Putra I Gusti Ngurah Bagus Arimbawa I Kadek Gowinda I Ketut Gede Suhartana I Komang Agus Ari Negara I Komang Ari Mogi I Made Ari Madya Santosa I Made Satria Bimantara I Made Teja Geni Astra I Made Widiartha I Made Widiartha I Nyoman Adiputra I Putu Gede Adiatmika I Putu Gede Maysa Putra I Putu Risky Adi Sanjaya I Putu Sedana Wijaya I Wayan Supriana I Wayan Supriana Supriana Ida Ayu Gde Suwiprabayanti Putra Ida Ayu Nyoman Yuliastuti Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra IM Suyana Utama Indra Budi Trisno Jeremi Herodian Abednigo Juliana, Ni Komang Ayu Kadek Andre Suryana Kadek Dwitya Adhi Pradyto Kameliya Putri Komang Dean Ananda Komang Dean Nanda Lalu Muhamad Waisul Kuroni Made Dwiki Budi Laksana Made Edy Septian Santosa Nararia Ningrat, Putu Vidi Nesa Padmawati Ngurah Agus Sanjaya ER Ngurah Kelvin Febryanta Lila Ananda Ni Kadek Ayu Fitriandayani Ni Luh Komang Indira Pramesti Ni Luh Putu Ayu Siwastuti Cayadewi Ni Made Ayu Suandewi Ni Made Rai Nirmala Santhi Ni Putu Anita Dewi Ni Putu Dian Kartika Sari Ni Putu Yeni Astiti Ningsih, Tri Adi Nusan Bagus Wibisana Pradyto, Kadek Dwitya Adhi Putra, IGN Anom Cahyadi Putri Noviyanti Putri, Kameliya Putu Bagus Dio Pranata Putu Ode Irfan Ardika Putu Vidi Nararia Ningrat Putu Wida Gunawan Radhitya, Made Leo Simangunsong, Haposan Siwastuti Cayadewi, Ni Luh Putu Ayu Suryana, Kadek Andre Susy Purnawati T, Ronaldito Juan Bantaras Utari, Ni Nyoman Grisyana Wesnawa, Pande Nyoman Weda Wijayakusuma, I Gusti Ngurah Lanang Yoga, Bhaskara Budi Yohanes Kristianto Kristianto