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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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Perbandingan Algoritma Decision Tree dan Support Vector Machine Dalam Prediksi Kualitas Udara Fahmi, Muhammad; Suhartana, I Ketut Gede
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

Indonesia memiliki banyak permasalahan salah satunya pencemaran udara. Pencemaran udara di Indonesia termasuk dalam urutan 20 besar dalam AQI (Air Quality Index) dunia. Hal tersebut dikarenakan banyak aktivitas masyarakat yang menghasilkan polutan seperti SO2, NO2, CO, PM10, PM2.5, dan O3. Oleh karena itu dibutuhkan metode yang dapat mengklasifikasikan kualitas udara menjadi kelas tertentu sehingga masyarakat maupun pemerintah dapat mengetahui seberapa baik dan tercemarnya udara tersebut. Dalam penelitian ini dilakukan perbandingan metode klasifikasi antara SVM (support vector machine) dengan metode Decision Tree. Hasil dari penelitian ini metode SVM menghasilkan tingkat akurasi sebesar 96%, dengan presisi sebesar 87%, recall sebesar 61%, dan f1-score sebesar 72%. Pada Decision Tree dihasilkan tingkat akurasi sebesar 97%, dengan presisi sebesar 91%, recall sebesar 87%, dan f1-score sebesar 89%.
Pengembangan Aplikasi Heal&Go Sebagai Sebuah Sistem Rekomendasi Destinasi Wisata Berbasis Mobile Yudha, I Wayan Pande Putra; Suhartana, I Ketut Gede
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

Indonesia is a country that has a variety of attractive tourist locations such as beautiful inland or rural areas, diverse historical and cultural heritage, beautiful beaches, and much more. Then because Indonesia is currently transitioning into a new normal era, many people want to take a vacation by traveling to various tourist attractions in Indonesia, but a lot of people are confused about choosing their tourist attractions. Therefore, the author makes a mobile-based application that serves to help people choose a travel destination based on their respective preferences. Heal&Go is an app that can recommend perfect destinations for these people based on their preferences and can interact with users for immediate feedback and dynamic adaptation. Then with the development of the Heal&Go application with the Prototyping method and also the Kotlin programming language in its development, it is hoped that it can help the community in choosing their next travel destination.
Implementasi Algoritma Support Vector Machine dalam Deteksi Depresi Pada Twitter Setiawan, Vinna; Suhartana, I Ketut Gede
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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Mental health is an important part of human life. Over time, mental health is getting more attention along with the increasing number of people who experience mental health disorders. For example, in the U.S., 1 in 5 adults has a mental health disorder, with 8% experiencing depression[1]. Social media, one of which is Twitter as a place for opinions and voices, is often a place for people to convey what they feel. Therefore, writings posted on twitter can be an option to detect a person's mental health, namely depression. To classify between writings that have the characteristics of depression and not, the Support Vector Machine method is used. Based on testing on the Support Vector Machine method for depression classification, the highest accuracy value was obtained at 85,6%.
Perancangan Aplikasi Tour Travel Nusa Tenggara Timur Berbasis Web Kewa Nilan, Yasinta Anita; Suhartana, I Ketut Gede
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

East Nusa Tenggara (NTT) is a province in Indonesia which is rich in natural beauty, culture, and history. Even though NTT has tremendous tourism potential, challenges in the promotion and accessibility of tourist destinations are still a major concern. In today's digital era, web-based applications are tools that effectively facilitate the tourism industry by providing complete information, facilitating travel planning, and expanding the reach of promotions. Therefore, this web-based NTT travel tour application makes it easy for tourists to access information, compare options, and plan trips efficiently. Keywords: Application, Tourism, Tour Travel, East Nusa Tenggara, Website
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.
Synthesis of Kantil Tone Using The Frequency Modulation Method Suhartana, I Ketut Gede; Dewi, Ni Kadek Yulia; Giri, Gst Ayu Vida Mastrika
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 3 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i3.84874

Abstract

Music is a creative form of expression that utilizes sound arranged in specific patterns to create artistic works that are enjoyable to the listener. However, in music, excessive or continuous exposure to loud sounds can damage the hair cells in the ear, potentially leading to hearing loss or even deafness. One challenge in musical instrument craftsmanship is the variation in sound produced by different kantil artisans. These differences in sound output lead to inconsistencies in the rhythm of the angklung gamelan in Bali. This research addresses the issue by focusing on the process of synthesizing kantil sounds to achieve a more consistent output. The research begins by inputting audio files for each sound bar in format. The recorded audio data undergoes preprocessing using the Fast Fourier Transform (FFT) method, which extracts key features from the dataset, such as the fundamental frequency. Additionally, the Hilbert Transform is applied to obtain the optimal sound each blade, which will later be used in the Frequency Modulation process. Once preprocessing is completed on the dataset for each blade, the fundamental frequency and signal are acquired. To evaluate the accuracy of the synthesis, the Root Mean Square Error (RMSE) is calculated to compare the original signal with the synthesized signal. This step helps determine the degree of difference between the two signals. Ultimately, the result is a synthesized kantil sound that closely resembles the original, helping to standardize sound output among different craftsmen and ensuring consistency in musical performances
PENGEMBANGAN DAN PENERAPAN APLIKASI MANAJEMEN PEGAWAI MAGANG DAN PKL OLEH ADMIN DI PT. GUNA TEKNOLOGI NUSANTARA Maharani Putri Suari; I Ketut Gede Suhartana; Ida Ayu Gde Suwiprabayanti Putra
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

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Abstract

Pengelolaan data pegawai magang adalah hal yang akan membantu kedepannya. Pengelolaan data pegawai magang berkaitan dengan monitoring dan pemantauan pegawai magang terkait dengan status mereka selama magang dalam sebuah perusahaan. Di zaman yang serba digital saat ini, perkembangan pengelola data menjadi sangat cepat dan mudah karena dibantu dengan teknologi aplikasi berbasis website. Aplikasi berbasis website adalah aplikasi yang berjalan dalam peramban website. PT. Guna Teknologi Nusantara adalah perusahaan yang berjalan di bidang IT, Perusahaan ini banyak merekrut beberapa pegawai magang. Namun demikian, belum ada aplikasi pengelolaan data pegawai magang. Melalui aplikasi manajemen data pegawai magang ini, perusahaan bisa menggunakannya sebagai alat yang memudahkan perusahaan untuk mengelola data pegawai magang secara cepat dan efektf.
PERANCANGAN SYSTEM APPOINTMENT JANJI TEMU DOKTER DI RUMAH SAKIT UNIVERSITAS UDAYANA Vidiadivani, Wahyu; Suhartana, I Ketut Gede; Ida Ayu Gde Suwiprabayanti Putra
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

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Abstract

Pengembangan dan implementasi sistem appointment yang efisien memiliki peran penting dalam meningkatkan layanan kesehatan, terutama di institusi terkenal seperti Rumah Sakit Universitas Udayana di Indonesia. Penelitian ini berfokus pada perancangan dan pelaksanaan sistem appointment yang efektif, yang memungkinkan pasien mendaftar untuk konsultasi dokter dengan lancar melalui platform online, seperti situs web. Pasien dapat dengan mudah memilih dokter yang diinginkan dan mengakses jadwal dokter secara real-time, menyederhanakan proses pemesanan. Sistem ini tidak hanya memberikan manfaat kepada pasien dengan meningkatkan aksesibilitas, tetapi juga memberdayakan praktisi medis dan staf administrasi untuk mengelola jadwal dengan efisien, mengurangi waktu tunggu pasien, dan meningkatkan produktivitas administrasi secara keseluruhan. Selain itu, sistem ini memfasilitasi penggunaan data pasien untuk analisis statistik, dengan demikian mendukung pengambilan keputusan berbasis bukti dan perencanaan kesehatan strategis. Diharapkan implementasi sukses sistem appointment canggih ini di Rumah Sakit Universitas Udayana akan menghasilkan pelayanan kesehatan yang lebih terorganisir, efisien, dan berkualitas tinggi sambil memberikan contoh berharga bagi lembaga kesehatan yang berupaya mengoptimalkan penyediaan layanan.
PERANCANGAN ANTARMUKA SISTEM PENDATAAN PENGUNJUNG BERBASIS WEBSITE DI KANTOR PERBEKEL DESA UNGASAN Ni Luh Eka Suryaningsih; I Ketut Gede Suhartana; I Made Widhi Wirawan
Jurnal Pengabdian Informatika Vol. 3 No. 2 (2025): JUPITA Volume 3 Nomor 2, Februari 2025
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

In the dynamic digital era, the adoption of information technology is crucial to enhance efficiency and transparency in public services at the village level. The web-based visitor registration system at the Office of the Village Chief in Ungasan Village serves as a successful implementation example in this effort. The manual processes proved inefficient and time-consuming, prompting the progressive step of technology adoption. This research documents and analyzes the development of the system, employing a comprehensive approach from needs analysis to evaluation. The result is an intuitive and responsive web application for users, improving village administration efficiency. The system's advantage lies in its ease of access and use by the community, enhancing transparency in public services. Thus, this research contributes significantly to the development of a visitor registration system focused on optimal user experience and enhanced efficiency in public services at the village level.
Pembuatan Aplikasi Web Manajemen Cuti Izin Sakit (CIS) di CV Avatar Solutions I Putu Gede Mahardika Adi Putra; I Ketut Gede Suhartana; I Made Widhi Wirawan
Jurnal Pengabdian Informatika Vol. 3 No. 1 (2024): JUPITA Volume 3 Nomor 1, November 2024
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Kinerja karyawan dapat dilihat dari beberapa parameter. Kehadiran karyawan di tempat kerja merupakan salah satunya. Karyawan dengan komitmen tinggi biasanya memiliki catatan kehadiran, kinerja, dan produktivitas yang baik. Komitmen karyawan menunjukkan tingkat kesetiaan pada kebijakan perusahaan, kepuasan dan motivasi kerja yang tinggi, serta memiliki turnover rate lebih rendah. Salah satu metode yang dapat dilakukan untuk melakukan pemantauan kehadiran karyawan adalah aplikasi manajemen cuti, izin, dan sakit (CIS). Melalui aplikasi ini, ketidakhadiran karyawan serta alasannya dapat diketahui. Aplikasi manajemen CIS diimplementasikan di perusahaan yang bergerak di bidang ICT, yaitu Avatar Solutions. Aplikasi ini dibangun menggunakan SDLC bertipe agile. Pendekatan metode ini memungkinkan sistem dikembangkan dengan lebih fleksibel sesuai dengan sprint-sprint-nya. Karena aplikasi yang dibuat adalah aplikasi web, maka aplikasi yang dibuat dapat dijalankan di banyak platform asalkan terkoneksi internet. Luaran Aplikasi Manajemen CIS Avatar Solution adalah flow pengajuan CIS yang seamless, seperti pengajuan CIS dapat dilakukan pada sistem sentral dan limitasi pengajuan CIS langsung diatur oleh sistem sehingga untuk mengurangi kelonggaran.
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