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All Journal International Journal of Advances in Applied Sciences JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal Pendidikan Teknologi dan Kejuruan KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Sains dan Teknologi Jurnal Simetris Elkom: Jurnal Elektronika dan Komputer Jurnal Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Pseudocode Jurnal Teknologi Informasi dan Ilmu Komputer Journal of ICT Research and Applications JUITA : Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan Jurnal Sistem dan Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Teknologi dan Sistem Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Information Technology and Computer Science JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Jurnal Teknologi Informasi dan Multimedia JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) INSERT: Information System and Emerging Technology Journal KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains Brilliance: Research of Artificial Intelligence Jurnal Pendidikan Sains dan Komputer Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Paradigma MASALIQ: Jurnal Pendidikan dan Sains Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Artificial Intelligence and Digital Business Eduvest - Journal of Universal Studies INOVTEK Polbeng - Seri Informatika
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Perancangan Mesin Translasi berbasis Neural dari Bahasa Kawi ke dalam Bahasa Indonesia menggunakan Microframework Flask I Gede Bintang Arya Budaya; Made Windu Antara Kesiman; I Made Gede Sunarya
Jurnal Sistem dan Informatika (JSI) Vol 16 No 2 (2022): Jurnal Sistem dan Informatika (JSI)
Publisher : Direktorat Penelitian,Pengabdian Masyarakat dan HKI - Institut Teknologi dan Bisnis (ITB) STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/jsi.v16i2.440

Abstract

Mesin Translasi (MT) adalah pilihan utama bagi orang-orang, terutama untuk mempelajari pengetahuan yang tidak menggunakan bahasa asli mereka. Bahasa Kawi sebagai bahasa lokal, meskipun jarang digunakan secara aktif, merupakan bahasa yang banyak digunakan dalam berbagai literatur lama seperti lontar, khususnya di Bali yang masih dipelajari hingga saat ini. Banyak MT dengan pengguna aktif, seperti bahasa Indonesia yang terus dikembangkan tetapi tidak untuk bahasa Kawi. Perancangan MT berbasis neural menggunakan microframework Flask merupakan langkah awal pengembangan MT dari bahasa Kawi ke Bahasa Indonesia. Pengembangan dimulai dengan membuat korpus paralel Kawi ke Indonesia dan dilanjutkan dengan membuat arsitektur MT dengan model berbasis Recurrent Neural Network (RNN) yaitu simple RNN dan bidirectional RNN. Berdasarkan hasil pengujian, kedua model ini mampu mencapai skor BLEU sebesar 20.43 untuk simple RNN dan 17.6 untuk bidirectional RNN. Model MT yang diajukan masih belum mampu mencapai level standar seperti ahli manusia dan high resources MT yaitu berdasar Google dengan skor BLEU minimal 60. MT untuk bahasa Kawi ke bahasa Indonesia dapat dikembangkan kedepan dengan pemanfaatan microframework Flask, yang dapat membantu proses pengembangan lebih cepat.
Analysis of the implementation of the scheduling and tracking project application at CV. Emporio architect Pathni, Ida Ayu Wisma Anggaritha; Gunadi, I Gede Aris; Sunarya, I Made Gede
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 01 (2024): Informatika dan Sains , Edition March 2024
Publisher : SEAN Institute

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

Abstract

CV. Emporio Architect make a Scheduling and Tracking Project application is created to help employee performance in scheduling a project. However, the implementation in the field had not met expectations, where each division made its own schedule and kept it individually, so that there was no transparency in the performance of the inter-divisional relay teams. This was because many divisions did not use the applications provided by the company. From the background description above, it is necessary to identify the factors that influence the use of Scheduling and Project Tracking applications on CV. Emporio Architect. The aim of this research is to analyze the implementation of the Scheduling and Tracking Project application by identifying factors that influence the use of the application using the TOE Framework research model and quantitative methods with data collection techniques through questionnaires, interviews and observation. The population in this study consisted of 58 respondents, and the data analysis was conducted using validity tests, reliability tests, multiple linear regression analysis, and hypothesis testing. The data testing was processed with the help of  SPSS software. The research results identified that the variables of technology and organization did not significantly affect the implementation of the application, leading to the ineffectiveness of the application implementation at CV. Emporio Architect, as expected. However, the environmental variable had a significant influence according to the conditions at CV. Emporio Architect. The suggested recommendation is that the company improves from both technological and organizational aspects so it can be better at preparing for implementing scheduling and project tracking applications at CV. Emporio Architect.
ANALYSIS OF WEBQUAL 4.0 AND COGNITIVE WALKTHROUGH METHODS ON CTI GOVIDEO SPARK HIRE ONLINE INTERVIEW APPLICATION Apriyanthi, Ni Putu Eka; Gunadi, I Gede Aris; Sunarya, I Made Gede
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2198

Abstract

This study aims to analyze the user experience quality of the CTI GoVideo Spark Hire online interview application, focusing on Safaga Indonesia institution. The research methodology employs Webqual 4.0 analysis and Cognitive Walkthrough as frameworks for evaluating application quality. Respondents were selected using Simple Random Sampling, and data were analyzed using reliability and internal consistency tests. The findings from the Webqual 4.0 analysis indicate that the majority of respondents rated the application positively, with 73% considering its quality to be good and 27% rating it as excellent. Internal consistency tests revealed overall high reliability, although the interaction variable showed relatively low values. Analysis using the Cognitive Walkthrough method revealed that 8 respondents were able to complete approximately 92.8% of the total 7 given task scenarios, with an average completion time of around 446 seconds or 7 minutes 26 seconds for all tasks. This evaluation holds significant relevance to Safaga Indonesia's need to enhance recruitment process efficiency.
Pengembangan Virtual Tour 360° sebagai Media Promosi Daya Tarik Wisata Air Terjun Campurasa Desa Menyali Wahyu Eka Putra, I Gusti Agung; I Made Gede Sunarya; I Nyoman Indhi Wiradika
KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) Vol. 13 No. 3 (2024)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/karmapati.v13i3.86067

Abstract

Penelitian ini bertujuan mengidentifikasi kendala dalam pengembangan Air Terjun Campurasa sebagai destinasi wisata dan mengeksplorasi potensi penggunaan Virtual tour 360° berbasis drone untuk meningkatkan kunjungan. Pengembangan ini menggunakan metode SDLC (Software Development Life Cycle) dengan model RAD (Rapid Application Development), yang menekankan kecepatan di setiap tahapannya, meliputi perencanaan kebutuhan, desain, dan implementasi. Hasil uji ahli isi dan media menunjukkan skor 1.00 dengan kategori "sangat tinggi", sementara uji respon pengguna menunjukkan rata-rata skor 39,59, yang juga termasuk "sangat tinggi". Pengguna sangat tertarik untuk mengunjungi Air Terjun Campurasa. Untuk pengembangan lebih lanjut, disarankan menggunakan peralatan yang lebih canggih agar hasil promosi visual lebih sempurna dan menarik perhatian wisatawan.
Pengembangan Augmented Reality Pengenalan Tumbuhan Obat Tradisional Suku Karo Sumatera Pinem, Deby Natalia Br; I Nengah Eka Mertayasa; I Made Gede Sunarya
KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) Vol. 13 No. 3 (2024)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/karmapati.v13i3.86131

Abstract

Pengembangan Augmented Reality Pengenalan Tumbuhan Obat Tradisional Suku Karo Sumatera merupakan media pengenalan tumbuhan yang dapat dijadikan sebagai obat tradisional yang dapat diakses oleh masyarakat karo. Penggunaan media informasi yang berbasis digital tumbuhan yang dijadikan sebagai obat tradisional masih kurang, hal ini yang menyebabkan banyak masyarakat karo tidak mengetahui tentang tumbuhan yang dapat dijadikan sebagai obat tradisional. Media informasi ini yang akan membantu pengguna untuk mengetahui dan memahami tumbuhan yang dapat dijadikan sebagai obat tradisional. Metode penelitian Metode penelitian yang digunakanyaitu metode Research and Development (R&D), dengan model penelitian pengembangan model Multimedia Development Life Cycle (MDLC) yang memiliki 6 tahapan dalam pengembangan, yaitu concept, design, material collecting, assembly, testing, dan distribution. Hasil dari perhitungan uji ahli isi dan uji ahli media memperoleh koefisien validitas sebesar 1.00, dengan tingkat validitas “Sangat Tinggi” dan hasil uji respon pengguna dengan40 orang responden mendapatkan skor rata-rata 81,6 dengan kualifikasi “Sangat Positif” yang artinya responden memiliki pemahaman yang sangat baik terhadap Augmented Reality Pengenalan Tumbuhan Obat Tradisional Suku Karo Sumatera. Penelitian ini dapat menjadi media informasi yang bermanfaat bagi masyarakat. 
Pengembangan Virtual Tour 360 Photosphere untuk Meningkatkan Pengalaman Wisata Digital di Kabupaten Jembrana I Wayan Arya Gina Widyatmaja; I Made Gede Sunarya; Subawa, I Gede Bendesa
KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) Vol. 13 No. 3 (2024)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/karmapati.v13i3.86557

Abstract

The virtual tour application using 360 photosphere in tourism in Jembrana Regency is designed to enhance the interest and digital experience of tourists or users to explore virtually without having to visit tourist sites directly. This research is motivated by the lack of effective promotional tools to increase tourist interest in visiting Jembrana Regency. This study employs a Research and Development method by applying the Multimedia Development Life Cycle development model, which involves the stages of Concept, Design, Material Collecting, Assembly, Testing, and Distribution. Based on the results from testing data on content expert evaluation, media expert evaluation, and effectiveness testing, a "Very High" validity level was obtained. The user response test calculations received feedback from each group: Attractiveness scored 2.398, Clarity scored 2.327, Efficiency scored 2.287, Accuracy scored 2.410, Stimulation scored 2.390, and Novelty scored 2.240, with an Excellent benchmark across all six groups. The development of the virtual tour shows a positive impression.
Image Classification of Balinese Seasoning Base Genep Based on Deep Learning Prasetia, I Putu Widia; I Made Gede Sunarya
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 1 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i1.67967

Abstract

One of Indonesia's abundant natural wealth is spices and seasonings. Base Genep is a basic spice in making traditional Balinese culinary preparations. Base Genep uses many spices and seasonings, including turmeric, ginger, galangal, galangal, candlenuts, nutmeg, pepper, shallots, garlic, coriander, lemongrass, and cloves. From the variety of spices and seasonings that exist in Indonesia, it turns out that the knowledge of the Indonesian people is still low regarding spices and seasonings, especially among the younger generation. This is because these spices/seasonings have characteristics, shapes, and skin colors that are almost similar at first glance, making them difficult to differentiate. Based on these problems, this research was carried out with the aim of helping the public, especially the younger generation, recognize and differentiate types of spices and seasonings. Therefore, in this research, a model based on Deep Learning technology was created. The general objective of this research is to classify spices/seasonings which are often used as basic ingredients in the manufacture of Bumbu Bali Base Genep such as ginger, aromatic ginger, turmeric, and galangal using the YOLOv8 model. The data used in this study were obtained with a smartphone. The data consists of 1200 images consisting of 4 classes. The data is divided into several parts, namely training data, validation and testing data. The resulting dataset is divided into 4 dataset schemes in conducting model training. The highest score for the model in this study was obtained in dataset scheme number 4.
Comparative Analysis of CNN Methods for Periapical Radiograph Classification Sumantara, I Gusti Lanang Trisna; Kesiman, Made Windu Antara; Sunarya, I Made Gede
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 2 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i2.71664

Abstract

Periapical radiographs are commonly used by dentists to diagnose dental problems and overall dental health conditions. The varying abilities of dentists to diagnose may be limited by their visual acuity and individual skills. To address this issue, there is a need for an application capable of computationally recognizing and classifying periapical radiographs. The commonly used computational method for image processing, specifically image recognition, is the Convolutional Neural Network (CNN) method. This study aims to create an application that can classify periapical radiographs and analyze the capabilities of the Convolutional Neural Network (CNN) method in this classification process. In general, periapical classification is divided into five types: Primary Endo with Secondary Perio, Primary Endodontic Lesion, Primary Perio with Secondary Endo, Primary Periodontal Lesion, and True Combined Lesions. The periapical radiograph classification process was tested using four CNN models: ResNet50v2, EfficientNetB1, MobileNet, and Shalow CNN. The evaluation of the CNN method utilized a confusion matrix-based technique to generate accuracy, precision, recall, F1-score and Weighted Average F1-score values. Based on the evaluation results, the highest accuracy value was achieved by EfficientNetB1 with 82%, followed by ResNet50v2 with 76%, MobileNet with 75%, and Shallow CNN with 71%.
Performance Comparison of the Combination of Smarter-Fuzzy and Smarter-Fuzzy-Topsis Methods on the accuracy of the PPA Scholarship Acceptance Decision Support System Wardana, I Komang Tri Edi; Sunarya, I Made Gede; Gunadi, I Gede Aris
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3081

Abstract

The PPA Scholarship is a scholarship intended for students who excel, are active in campus activities, and are economically disadvantaged in accordance with predetermined conditions. Currently, STAHN MPU Kuturan Singaraja in calculations often takes a long time, causing delays from the predetermined schedule and less accurate results. Based on this, it is necessary to develop a Decision Support System that can provide recommendations for prospective PPA scholarship recipients. There are 6 criteria being used, including: GPA, semester, credits, charter/certificate, assignment letter, and parent's income. In this study, comparing the performance of the combination of the Smarter-Fuzzy and Smarter-Fuzzy-Topsis methods through testing using the confusion matrix method. Smarter method is used to be able to give weighting criteria with ROC technique. The Fuzzy method is used to convert the criteria values ??for each alternative from 0 to 1. The Topsis method is used to rank. The ranking results of the combination Smarter-Fuzzy method show an accuracy rate of 86.6%, and the combination of the Smarter-Fuzzy-Topsis method of 75.5%.
PENGARUH DATA AUGMENTASI PADA IDENTIFIKASI PENYAKIT DAUN TANAMAN OBAT MENGGUNAKAN K-NEAREST NEIGHBOR Prianka Vedanty, Putu; Windu Antara Kesiman, Made; Gede Sunarya, I Made
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.12961

Abstract

Penyakit pada tanaman obat dapat menyebabkan gangguan pertumbuhan, layu, hingga kematian tanaman, sehingga diperlukan identifikasi dini untuk mencegah kerusakan lebih lanjut. Dengan perkembangan teknologi, pengolahan citra digital menjadi solusi yang efisien dalam identifikasi penyakit pada daun tanaman obat. Penelitian menghadapi tantangan berupa keterbatasan data citra penyakit daun tanaman obat yang tidak seimbang (imbalanced data), yang dapat memengaruhi kinerja algoritma klasifikasi. Oleh karena itu, diperlukan proses augmentasi data untuk meningkatkan jumlah dan keragaman data. Penelitian ini bertujuan untuk menganalisis pengaruh augmentasi data terhadap kinerja algoritma K-Nearest Neighbor (K-NN) dalam mengidentifikasi penyakit daun tanaman obat, menggunakan berbagai skenario pengujian pada dataset yang telah diaugmentasi. Penelitian ini melibatkan pengumpulan dataset citra dari beberapa wilayah di Bali seperti wilayah Denpasar Selatan, Kabupaten Tabanan, dan Kabupaten Negara. Dataset diolah menggunakan teknik augmentasi seperti rotasi, resize, dan pembersihan background. Identifikasi dilakukan menggunakan algoritma K-NN, dengan pengujian terhadap enam skenario berdasarkan variasi resolusi dan distribusi data. Evaluasi dilakukan menggunakan confusion matrix untuk menghitung precision, recall, dan F1-score. Proses augmentasi data meningkatkan jumlah dataset dari 300 menjadi 1200 citra. Hasil pengujian menunjukkan skenario kedua, dengan resolusi 700x700 piksel dan dataset balanced, mencapai akurasi tertinggi sebesar 87% pada nilai K=2. Algoritma K-NN menunjukkan performa optimal dengan data yang telah diaugmentasi, menghasilkan prediksi yang lebih akurat dan konsisten.
Co-Authors ., Dewa Ayu Kade Diah Arindia Putri ., Gede Agus Udayana ., I Putu Eka Dharma Cahyadi ., Km Pita Setiarini ., Ni Kd Putri Ariani ., Ni Made Erna Maygayanti ., Novitasari Putri ., Putu Sanistya h Aan Yudianto Ade Widiyantara, I Putu Adi Arta Wibawa, I Gede Made Adi Saputra Yasa, I Gede Agoes Gelgel Aryawan, I Komang Agung Ayu Hanna Cahyani Agung Istri Ariningrat, I Gusti Agung Purnama Putra, I Gede Agung Wahyu Prayoga, I Gusti Agus Permadi, I Nyoman Agus Sutrisna, I Kadek Agus Tria Pradnyana Udayana Agus Tria Pradnyana Udayana, Agus Tria Pradnyana Ali Djamhuri Anak Agung Sri Farida Sari Dewi Andika, I Gede Antara, I Gede Wija Ardipa, Gede Sukra Ari Kamelia Dewi, Ni Made Arief Hadi Prasetyo Arief Hadi Prasetyo, Arief Hadi Arisandi, Ni Made Desi Ariyani, Putu Wendy Artika Winati Mapet, Made Ayu Elviani, Ni Komang Ayu Nirma Lestari, Gusti Bagus Maha Putra, I Gusti Budiana, I Wayan Budiastawa, I Dewa Gede Bunga Anindya, Made Cahyani, Agung Ayu Hanna Cahyo, Kukuh Adhicahyo Candiasa , ⁠I Made Darma Putra, I Kadek Agus Dessy Seri Wahyuni Dewa Ayu Kade Diah Arindia Putri . Dewa Gede Hendra Divayana, Dewa Gede Hendra Dewa Ngakan Putu Eka Juniarta Dewa Nyoman Adi Sista Dewa Nyoman Adi Sista, Dewa Nyoman Adi Dewa Putu Doniawan Dewi , Luh Joni Erawati Dewi, Made Sulatri Dewi, Ni Putu Dita Ariani Sukma Dharma Laksana, I Kadek Diatmika, I Ketut Agus Indra Dika Prasetya, I Putu Dinata, I Made Anom Mahartha Doniawan, Dewa Putu Drs. I Wayan Darsana,M.Ed . Dwi Suparyanta, Kadek DWI SURYANTO Dwipayoga, Dewa Made Wisma Eka Putra Widiantara Eka Swastika, I Putu Eko Mulyanto Yuniarno Endrawati, Ni Komang Ayu Erlangga, Anak Agung Gde Wahyu Sukma Farida Sari Dewi, Anak Agung Sri Firda Riani Gede Agus Putra Yasa Gede Agus Udayana . Gede Arna Jude Saskara Gede Doni Agustina Gede Doni Agustina Gede Doni Agustina, Gede Doni Gede Nova Kertiana Putra Gede Noverdi Indrawirawan Gede Saindra Santyadiputra Gede Saindra Santyadiputra Gede Saindra Santyadiputra, Gede Saindra Gede Sukra Ardipa Gede Surya Mahendra Giri, I Gusti Putu Yada Gusti Ayu Nirma Lestari Gusti Ngurah Wira Satryawan Hanna Cahyani, Agung Ayu Hartariani, Luh Lina Hermawan, Norma I G. Uttaram I Gede Adi Saputra Yasa I Gede Agung Purnama Putra I Gede Agus Pebriana I Gede Aris Gunadi I Gede Bendesa Subawa I Gede Bintang Arya Budaya I Gede Bintang Arya Budaya I Gede Eka Artha Putra I Gede Eka Udiyana I Gede Eka Udiyana, I Gede Eka I Gede Made Adi Arta Wibawa I Gede Mahendra Darmawiguna I Gede Merta I Gede Nyoman Agung Jayarana I Gede Sudirtha I Gede Wija Antara I Gusti Agung Istri Ariningrat I Gusti Agung Mia Pradita I Gusti Agung Wahyu Prayoga I Gusti Ayu Agung Diatri Indradewi I Gusti Bagus Maha Putra I Gusti Gede Raka Wiradarma I Gusti Made Wahyu Krisna Widiantara I Gusti Nyoman Tri Jayendra I Gusti Putu Yada Giri I Kadek Agus Darma Putra I Kadek Agus Sutrisna I Kadek Dharma Laksana I Ketut Dedi Kusuma Rena I Ketut Eddy Purnama I Ketut Resika Arthana I Ketut Semara Yasa I Ketut Semara Yasa, I Ketut Semara I Komang Agoes Gelgel Aryawan I Komang Hendra Trinium Jaya I Komang Sureadiputra Diwangkara . I Komang Sureadiputra Diwangkara ., I Komang Sureadiputra Diwangkara I Komang Susena I Made Agus Wirawan I Made Ardwi Pradnyana I Made Candiasa I Made Kresna Dana I Made Putrama I Made Tirta Murdika I Made Widnyana, I Made I Made Yoga Antara I Made Yudiantara I Made Yudiantara I Md. Dendi Maysanjaya I Nengah Eka Mertayasa I Nengah Eka Mertayasa I Nyoman Agus Permadi I Nyoman Indhi Wiradika I Nyoman Narmada I Nyoman Narmada, I Nyoman I Nyoman Sudiartayasa Adiputra I Putu Ade Widiyantara I Putu Dika Prasetya I Putu Eka Dharma Cahyadi . I Putu Eka Swastika I Putu Hendra Tresnadana Sueca I Putu Hery Antara I Putu Hery Antara, I Putu Hery I Putu Nata Susila I Putu Surya Pratama Wardhana I Putu Wijaya Merta I Wayan Ady Juliantara I Wayan Arya Gina Widyatmaja I Wayan Eka Purnama Putra . I Wayan Eka Purnama Putra ., I Wayan Eka Purnama Putra I Wayan Indra Diatmika I Wayan Indra Diatmika, I Wayan Indra I Wayan Nuarsa I Wayan Sudarsana I Wayan Treman I Wayan Wahyu Nuarsa I Wayan Wijaya Kusuma Ida Ayu Putu Purnami Ida Bagus Yudha Surya Pradipta Ida Bagus Yudha Surya Pradipta, Ida Bagus Yudha Surya Ida Purnamasari, Putu Ika Hendriana, Komang Inayaturrahman . Inayaturrahman ., Inayaturrahman Indradewi, Gusti Ayu Agung Diatri Indrawirawan, Gede Noverdi Ismoyo Sunu Joko Priambodo Juliantara, I Wayan Ady Kadek Artawan Kadek Artawan, Kadek Kadek Dedi Krisma Prayudi Kadek Dodi Permana Kadek Dodi Permana Kadek Dodi Permana, Kadek Dodi Kadek Dwi Suparyanta Kadek Dwi Yoga Adi Palguna . Kadek Dwi Yoga Adi Palguna ., Kadek Dwi Yoga Adi Palguna Kadek Rido Setiawan Kadek Rido Setiawan, Kadek Rido Kadek Suwis Satria Atmaja Kadek Yota Ernanda Aryanto Kertiana Putra, Gede Nova Ketut Agustini Ketut Intan Kusuma Wardani Ketut Sukreni Ketut Sukreni, Ketut Ketut Widiantara Km Pita Setiarini . Komang Devi Kristianti Komang Ika Hendriana Komang Trya Chandra Resmawan . Kristianti, Komang Devi Kumara, I Ketut Bagus Surya Kusuma Wardani, Ketut Intan Lalu Rendy Syahrial Lanang Nugraha, Made Luh Asri Ramayanthi Luh Asri Ramayanthi, Luh Asri Luh Joni Erawati Dewi Luh Lina Hartariani Luh Putu Eka Damayanthi Luh Putu Eka Damayanthi Luh Putu Eka Damayanthi, Luh Putu Eka M.Cs S.Kom I Made Agus Wirawan . Made Artika Winati Mapet Made Bunga Anindya Made Lanang Nugraha Made Sulatri Dewi Made Suyasa Dwi Putra Made Widnyana Made Windu Antara Kesiman Made Windu Antara Kesiman Mahendra, Ida Bagus Mahendra, Komang Maryati, Ni Made Rai Mauridhi Hery Purnomo Merta, I Gede Mita Puspita dewi Mita Puspita Dewi, Ni Putu Nata Susila, I Putu Natih, I Dewa Gede Agung Wibhisana Negara, I Made Wahyu Guna Neno, Joseph Extrada Ngakan Putu Eka Juniarta, Dewa Ni Desak Made Sri Adnyawati Ni Kadek Dina Agustina Ni Kadek Dina Agustina, Ni Kadek Dina Ni Kadek Dwi Trisna Rahayu Ni Kd Putri Ariani . Ni Ketut Ayu Purnama Sari . Ni Ketut Ayu Purnama Sari ., Ni Ketut Ayu Purnama Sari Ni Ketut Catur Wahyu Puspitawati Ni Komang Ayu Elviani Ni Komang Ayu Endrawati Ni Komang Oktari Permata Sari Ni Luh Putu Kurniawati Ni Made Ari Kamelia Dewi Ni Made Desi Arisandi Ni Made Erna Maygayanti . Ni Made Nafta Sukendry Ni Made Pradnya Paramita Kusumawati Kusumawati Ni Made Sudiartini Ni Nyoman Sugihartini Ni Putu Ayu Wijayanti Ni Putu Eka Apriyanthi Ni Putu Mita Puspita Dewi Ni Putu Ratna Puspitarini Ni Putu Ratna Wiryani Ni Putu Ratna Wiryani, Ni Putu Ratna Ni Wayan Martiningsih Novitasari Putri Novitasari Putri . Novitasari Putri, Novitasari P. WAYAN ARTA SUYASA Padama Nyoman Crisnapati Padma Nyoman Crisnapati Padma Nyoman Crisnapati Padma Nyoman Crisnapati Pathni, Ida Ayu Wisma Anggaritha Pebriana, I Gede Agus Permana, Made Ody Gita Pinem, Deby Natalia Br Pradiktha, Wisnu Dwijaya Pradita, I Gusti Agung Mia pramana, i gede pramana ade saputra Prasetia, I Putu Widia Prawira, Putu Yoka Angga Priambodo, Joko Prianka Vedanty, Putu Puspitarini, Ni Putu Ratna Putra Yasa, Gede Agus Putra, I Gede Eka Artha Putra, I Kadek Dwi Gitayana Putra, I Kadek Nurcahyo Putra, I Made Arya Adinata Dwija Putu Alan Arismandika Putu Angga Septiana Putra . Putu Angga Septiana Putra ., Putu Angga Septiana Putra Putu Ary Darma Yasa Putu Ary Darma Yasa, Putu Ary Putu Deri Ariyasa Dana Putu Hendra Suputra Putu Ida Purnamasari Putu Kartika Widya Swari Putu Kartika Widya Swari, Putu Kartika Putu Maha Putra Putu Sanistya h . Putu Soni Ermawati Putu Suarningsih Putu Yoka Angga Prawira Putu Yudia Pratiwi Putu Zasya Eka Satya Nugraha Rahayu, Ni Kadek Dwi Trisna Rena, I Ketut Dedi Kusuma Rendy Syahrial, Lalu Riani, Firda Rika Rokhana Rika Rokhana Rizki Anom Raharjo Rokhana, Rika Rudy Satya Wira Dharma, Kadek Santra, Wayan Saputri, Ni Kadek Tesya Ari Sarasmayana, Ketut Yoga Sariyasa . Shodiq Damanhuri Sidik, Purnama Sindu, I Gede Partha Soni Ermawati, Putu Suarningsih, Putu Sudiartayasa Adiputra, I Nyoman Sudiartini, Ni Made Sudiasta Putri, Nyoman Dinda Indira SUGIYANTI, NI PUTU HAPPY VALENTINA Sukendry, Ni Made Nafta Sulatri Dewi, Made Sumantara, I Gusti Lanang Trisna Suputra, I Putu Arsana Surya Diputra, I Gusti Nyoman Anton Surya Pratama Wardhana, I Putu Susena, I Komang Suyasa Dwi Putra, Made Swastika, I Putu Eka Taufik Ismail Taufik Ismail Tirta Murdika, I Made Tita Karlita Tita Karlita Tita Karlita Tresnadana Sueca, I Putu Hendra Tri Arief Sardjono Trywanto Rina Uttaram, I G. Uttaram, I G. Viky Aryani, Ni Putu Wahyu Eka Putra, I Gusti Agung Wardana, I Komang Tri Edi Wardhana, I Putu Surya Pratama Wayan Andre Pratama Wayan Santra Widiantara, Eka Putra Widiantara, I Gusti Made Wahyu Krisna Widiantara, Ketut Widiantara, Ketut Widyantara, I Putu Eka Wija Antara, I Gede Wijaya Kusuma, I Wayan Wijaya Merta, I Putu Wijaya, Ni Made Pradnyaswari Wijayanti, Ni Putu Ayu Wilhelmus Sabatani Jangku Wiradarma, I Gusti Gede Raka Wisnu Dwijaya Pradiktha Yoga Antara, I Made Yoka Angga Prawira, Putu Yudiantara, I Made Yundari, Yundari