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All Journal Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Telematika : Jurnal Informatika dan Teknologi Informasi JUSIFO : Jurnal Sistem Informasi INFORMAL: Informatics Journal Proceeding of the Electrical Engineering Computer Science and Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal Jurnal Informatika Universitas Pamulang Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal RESISTOR (Rekayasa Sistem Komputer) International Journal of Natural Science and Engineering Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar JE (Journal of Empowerment) Jurnal Mantik REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) Indonesian Journal of Data and Science Journal of Computer Networks, Architecture and High Performance Computing IJISTECH JINAV: Journal of Information and Visualization International Journal of Engineering, Science and Information Technology Journal of Technology and Informatics (JoTI) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Multidisiplin Madani (MUDIMA) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Masyarakat Indonesia (JPMI) Digital Transformation Technology (Digitech) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Malcom: Indonesian Journal of Machine Learning and Computer Science Eduvest - Journal of Universal Studies Journal of Software Engineering and Information System (SEIS) Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia Bulletin of Informatics and Data Science Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) TECHNOVATE Galaksi KOMET BIOS: Jurnal Informatika dan Sains Jurnal Pengabdian Masyarakat Indonesia
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Pengelolaan Bank Sampah Sebagai Upaya Edukasi Masyarakat Pada Desa Kukuh, Kecamatan Kerambitan: Waste Bank Management as a Community Education Effort in Kukuh Village, Kerambitan District Sandika, I Kadek Budi; Widiartha, Komang Kurniawan; Sudipa, I Gede Iwan; Parwita, Wayan Gede Suka
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 1 No. 2 (2022): Juni: Jurnal Pengabdian Masyarakat Indonesia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (605.737 KB) | DOI: 10.55606/jpmi.v1i2.215

Abstract

Pemerintah desa Kukuh Kecamatan Kerambitan memiliki program Bank Sampah pada yang berfokus pada tabungan sampah organik yang dikelola unsur PKK yang tergabung dalam Kelompok Wanita Tani (KWT) Dhari Winangun Kukuh. Tujuan program ini adalah untuk memanfaatkan mesin pencacah sampah organik yang diterima KWT dari pihak ketiga sebelumnya. Dari hasil produksi yang diperoleh akan bekerjasama dengan BUMDesa dalam penjualan pupuk organik. Program ini juga dibarengi dengan upaya pemilahan sampah di sumber timbulannya. Namun, sampai saat ini belum ada pemilahan sampah atau dengan kata lain sampah masih dalam satu wadah yang tercampur.Oleh karena itu, tim PKM mengajukan solusi berupa pendampingan edukasi pemilahan sampah kepada masyarakat serta pelatihan pemanfaatan kantong komposter untuk membuat kompos skala rumah tangga. Adapun target yang diharapkan antara lain persentase warga yang memilah dan menjadi pelanggan tabungan sampah > 60%, keterampilan penggunaan kantong komposter sampai tahap mahir. Hasil pengabdian untuk kegiatan sosialisasi pemilahan sampah menunjukkan adanya peningkatan pemahaman peserta 25,9% dan peningkatan keterampilan/praktik 28.6%. Berdasarkan hasil pelatihan penggunaan dan pembagian kantong komposter kepada pihak mitra dengan tingkat pemahaman dan keterampilan termasuk kategori baik, dengan tingkat partisipasi tabungan sampah mencapai 70%.
Leveraging K-Nearest Neighbors for Enhanced Fruit Classification and Quality Assessment Iwan Sudipa, I Gede; Azdy, Rezania Agramanisti; Arfiani, Ika; Setiohardjo, Nicodemus Mardanus; Sumiyatun
Indonesian Journal of Data and Science Vol. 5 No. 1 (2024): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v5i1.125

Abstract

This study investigates the application of the K-Nearest Neighbors (KNN) algorithm for fruit classification and quality assessment, aiming to enhance agricultural practices through machine learning. Employing a comprehensive dataset that encapsulates various fruit attributes such as size, weight, sweetness, crunchiness, juiciness, ripeness, acidity, and quality, the research leverages a 5-fold cross-validation method to ensure the reliability and generalizability of the KNN model's performance. The findings reveal that the KNN algorithm demonstrates high accuracy, precision, recall, and F1-Score across all metrics, indicating its efficacy in classifying fruits and predicting their quality accurately. These results not only validate the algorithm's potential in agricultural applications but also align with existing research on machine learning's capability to tackle complex classification problems. The study's discussions extend to the practical implications of implementing a KNN-based model in the agricultural sector, highlighting the possibility of revolutionizing quality control and inventory management processes. Moreover, the research contributes to the field by confirming the hypothesis regarding the effectiveness of KNN in agricultural settings and lays the foundation for future explorations that could integrate multiple machine learning techniques for enhanced outcomes. Recommendations for subsequent studies include expanding the dataset and exploring algorithmic synergies, aiming to further the advancements in agricultural technology and machine learning applications.
PENERAPAN BUSINESS INTELLIGENCE UNTUK ANALISIS PERKEMBANGAN AKOMODASI PERHOTELAN PROVINSI BALI MENGGUNAKAN TABLEAU Atmaja, I Gede Bagastia Widi; Kusuma, Kadek Ngurah Adi; Widiantara, I Komang; Mahendra, Gede Surya; Sudipa, I Gede Iwan
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 3 No. 2 (2023)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v3i2.5434

Abstract

The analysis of hospitality accommodation data in the province of Bali can provide deeper knowledge and insights into how the hotel industry contributes to Bali's tourism and overall economy. Information about the development of hotel accommodations in the province of Bali is crucial to understand the types, numbers, and distribution of hotels in the region, using visualized data obtained. The purpose of this article is to describe the data on the development of budget and star hotels in the province of Bali during and after the Covid-19 pandemic, specifically from the years 2019 to 2022, using Business Intelligence visualizations. The methodology employed in this article includes a literature review analysis and data processing obtained from the Bali Provincial Tourism Department. The data is processed using the Tableau Public platform. From the data presented, it is evident that the Regency of Badung has the highest number of budget and star hotels spread across the province of Bali, while the Regency of Bangli has the least. The government of Bali province, along with its community, must work together to develop tourism in each region to maximize the tourism potential in the province of Bali.
Sentimen Analisis Inisiatif Vaksin Nasional Menggunakan Naïve Bayes dan Laplacian Smoothing Pada Komentar Video Youtube Udayana, I Putu Agus Eka Darma; Sudipa, I Gede Iwan; Risaldi, Risaldi
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 2 (2022): Jurnal RESISTOR Edisi Oktober 2022
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v5i2.1108

Abstract

COVID-19 pandemic that has been declared by who in march 2020 Has been Indonesia biggest health crisis end in the decade. WHO said one of the quickest way to end the pandemic is through immunity through vaccine thu's theory is a national vaccine program initiated by the government in the middle of 2021. YouTube is of de facto public space in Indonesia cyberspace for its netizen for various conversation. from gossiping to discuss in public policy YouTube has been a gold mine for social media data mining enthusiast since 2010. but has been not utilized much by Indonesia Academic. do lack of popularity compared to Twitter which has been a media darling what Indonesian Acdemic ever since This research is focused on sentiment analysis pantydeal YouTube about the national vaccine initiation on a news channel in YouTube. This research is primarily consist of naive bayes classifier a a popular algorithm Indonesian data mining enthusiast which has some limitation such as the problem known as zero probability problem and also the use of non-public data which can be fixed by the use of Laplacian smoothing algorithm which when tested Using 100 of random comments as a data testing has resulted in 71% percent of succes rate and when we do a statistical analysis the precision , recall rate and the F-meassurement score of the classifier all resulted in above 75% score which is satisfactory.
SISTEM PENENTUAN KEPUTUSAN KELAYAKAN PENERIMA KREDIT MENGGUNAKAN METODE ROC - SAW : DECISION ELIGIBILITY DECISION SYSTEM OF CREDIT RECEIVER USING ROC - SAW METHOD Bagus Kusuma Wijaya; I Gede Iwan Sudipa; Rachmat; I Komang Wiratama; Ni Made Chintya Sasri
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 2 No. 2 (2022): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1372.748 KB) | DOI: 10.55606/juisik.v2i2.167

Abstract

The Bali Mandiri Cooperative is a cooperative that operates in the savings and loan sector. Data processing of savings and loan activities submitted in credit applications is still done manually so that the credit department must make the right decisions, especially if there are doubts in determining decisions for prospective borrowers, where the doubts are because the criteria for prospective borrowers are almost the same, this is having an impact on the company if the wrong decision occurs in the event of bad credit. The decision support system using Rank Order Centroid (ROC) calculations and the Simple Additive Weighting (SAW) method compares manual and system calculations that show the same results. This system includes data management which provides for managing data criteria, attribute value data, and submitting data (credit applicant data, data selection period, data submission, and decision support system process). This data will produce a credit applicant report and a credit applicant selection report.
Penerapan Algoritma Copeland Score Sebagai Penunjang Penerimaan Beasiswa KIP Di Kampus Institut Bisnis dan Teknologi Indonesia I Nyoman Tri Anindia Putra; I Gede Iwan Sudipa; I Putu Candra Jumariana; Yohana Jun
Journal of Technology and Informatics (JoTI) Vol. 4 No. 2 (2023): Vol. 4 No.2 (2023)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v4i2.310

Abstract

Sistem Pendukung Keputusan adalah metode yang dapat digunakan untuk meningkatkan kinerja organisasi atau bisnis di bidang sistem informasi berbasis komputer (manajemen pengetahuan). Institut Bisnis Teknologi Informatika (INSTIKI) merupakan salah satu lembaga pendidikan penyalur beasiswa dengan melakukan pengisian formulir melalui Google Form karena belum ada penerapan metode yang sistematis dan objektif dalam pemilihan penerima beasiswa sehingga cenderung bersifat subjektif. Berdasarkan hal tersebut maka diperlukan sistem yang terkomputerisasi dalam menetapkan penerima beasiswa melalui penyeleksian menggunakan metode Copeland Score. Metode ini memiliki beberapa kelebihan, yaitu konsepnya yang mudah dimengerti dan sederhana. Hasil penelitian adalah hasil perangkingan sistem pendukung keputusan penerimaan beasiswa yang menerapkan metode Copeland Score.
Comparison of Automation Testing On Card Printer Project Using Playwright And Selenium Tools Melyawati, Ni Luh Putu; Asana, I Made Dwi Putra; Putri, Ni Wayan Suardiati; Atmaja, Ketut Jaya; Sudipa, I Gede Iwan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4362

Abstract

The quality of the software is greatly determined by the testing phase, which involves various test cases that can be conducted through manual testing and automation testing. Manual testing is performed manually without using automation scripts, whereas automation testing is conducted using automation scripts. ABC is a company that operates globally in the field of access control, with the Card Printer being one of the menus used in access control. In the development process of this software, both manual and automation testing phases are carried out. The automation testing process employs the Selenium tool, which has proven to be time-consuming and poses challenges when running numerous test cases. This research aims to develop automation testing using Playwright to address the long execution time issue encountered with Selenium. The research utilizes the Card Printer project in the development of automation testing and adopts the Agile methodology. The result of developing automation testing using Playwright was successfully applied to 12 test cases. Additionally, the time analysis between Playwright and Selenium showed that Playwright has a total execution time of 4.9 minutes, which is faster compared to Selenium's total execution time of 8.3 minutes. With faster execution times, Playwright can be considered a tool in the development of automation testing.
Product Layout Analysis Based on Consumer Purchasing Patterns Using Apriori Algorithm Radhitya, Made Leo; Widiantari, Ni Komang Mira; Asana, Made Dwi Putra; Wijaya, Bagus Kusuma; Sudipa, I Gede Iwan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4400

Abstract

In every self-service store, it is certain to have a sales transaction data, where the data will continue to grow every day. But in self-service stores the data is only a record of sales at the store. Whereas transaction data can be used as information on how consumer purchasing patterns when shopping at the store, but not all supermarkets know this. So this research aims to find information on these purchasing patterns, where to do this research using the apriori algorithm which is part of the association technique which is also part of data mining, where in its application it will calculate the support value, confindence value and will be tested using the lift ratio. And after the calculation is carried out, optimization will be carried out using the high utility itemset mining variable which will calculate the highest profit value on the product, so that based on the calculation, the final result is obtained with a support value of 85%, a confidence value of 86%, a lift ratio test of 1.01 and the high utility gets the highest result of Rp. 567,000.
Application of Interactive Games on Tourism Objects Based on Augmented Reality Gamification Aristana, Made Dona Wahyu; Sanusi, Rikcy; Sudipa, I Gede Iwan; Aditama, Putu Wirayudi; Wiguna, I Komang Arya Ganda
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4403

Abstract

The development of information technology is always growing rapidly, especially in the field of android smartphones. Android smartphones can now be obtained at a fairly affordable price. With rapid development, there are so many innovations that can be developed by the smartphone itself, even the tourism sector such as The Sila's Agroutourism can get the impact of several innovations that exist along with the times such as Augmented Reality. In this research, the author uses two augmented reality methods, namely Marker Based Tracker and also Markerless. Where Marker based tracker is a method that uses image illustrations in the form of QR codes or special logos to identify an object in the Augmented Reality application. While Markerless is a method that does not require a marker or image to display the object. So that this research produces an augmanted reality game using the marker-based tracker method and also markerless which takes the GPS tracker method as its markerless method. This test uses 3 tests, namely Blackbox testing, Response Time testing and also User Experience Questioner (UEQ). Where the UEQ results filled in by 35 respondents get results above average (Excelent). So that it shows that this game is good and as expected.
Predicted demand for 3 kg LPG gas in each provinces area in Indonesia Novaria, Rachmawati; Alfiah, Agry; Khaddafi, Muammar; Tukino, Tukino; Sudipa, I Gede Iwan
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

Predicted the demand for 3 kilograms of LPG gas in different provinces of Indonesia is crucial for assuring the provision of energy to households. By employing the Exponential Triple Smoothing (ETS) technique, this study examines demand-influencing factors and consumption patterns. By integrating historical data's levels, trends, and seasonality, ETS enables accurate and timely forecasts. The findings illustrate the predicted outcomes for the ten provinces in Indonesia that have the highest demand for 3 kilograms of LPG gas, as well as the ten provinces that have the lowest demand across all regions. All provinces' MAPE forecasting error testing results utilizing the ETS method are incorporated with an exceptionally high degree of precision, given that the error rate is 5.27%.
Co-Authors A.A. Tri Wulandari Mayun Achmad Selamat Fauzi Achmad Selamat Fauzi Aditama Kadek Aditama, Dewa Made Marta Agus Perdana Windarto Ahmad Jurnaidi Wahidin Alfiah, Agry Ali Zainal Abidin Alaydrus Ali, Raihan Anak Agung Gde Ekayana Andika, I Gede Anggaswara, Aditha Diva Ani Nida’ia Mustafida Aniek Suryanti Kusuma Apriana, Ketut Adhi Ariana, Anak Agung Gede Bagus Arianto Muditomo Aripurnama, I Kadek Ade Aristamy, I Gusti Ayu Agung Mas Aristana, Made Dona Wahyu Arslayandi, Fiqhan Artha, I Putu Mahesa Kama Aryati, Komang Sri Asana, I Made Dwi Putra Asana, Made Dwi Putra Atmaja, I Gede Bagastia Widi Atmaja, Ketut Jaya Ayu Gede Willdahlia B. Herawan Hayadi Bagus Kusuma Wijaya Bagus Kusuma Wijaya Bhawanaputra, I Gusti Made Ngurah Ari Brahma, Anak Agung Gede Raka Wahyu Cakranegara, Pandu Adi Cakranegara, Pandu Adi Cetiawan, Arie Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Darma Setiawan Putra Darmika, Kadek Jaya Deddy Kurniawan Desak Made Dwi Utami Putra Desak Putu Diah Kumala Dewi Devi Valentino Waas Devi Valentino Waas Devi Valentino Waas Devi Valentino Waas Dewa Ayu Novi Swijayanti Dewa Gede Agung Gana Kumara Dewantara, Rizki Dewi, Ni Kadek Feby Puspita Dewi, Ni Luh Putu Berliana Dirgayusari, Ayu Manik Dwi Putra Asana Dwijaputra, I Kadek Dwiki Setiawan Efendi Efendi Eka Ayu Purnama Lestari Ekayana, Anak Agung Gede Emy Yunita Rahma Pratiwi, Emy Yunita Rahma Erlina Putri, Ni Putu Mita Fajar Muharam Fajriana, Fajriana Gede Surya Mahendra Gotama, I Gusti Agung Raditiya Gunawan, I Komang Agus Bryan Gustiadi Gustiadi Gustiadi Gustiadi Hamid Wijaya Handika, I Putu Susila Hardiatama, Kadek Harjanti, Trinugi Wira Herry Rachmat Widjaja Hidayatulloh, Fachmi Hugo, Veronika Novia I Dewa Gede Agung Pandawana I Dewa Gede Agung Pandawana I Gede Sudiantara I Gede Totok Suryawan I Gede Totok Suryawan I Gusti Agus Adek Putra Ardiwinata I Gusti Ayu Agung Mas Aristamy I Gusti Made Ngurah Desnanjaya I Kadek Adiana Putra I Kadek Budi Sandika I Kadek Budi Sandika I Kadek Dwi Gandika Supartha I Kadek Hardiatama I Kadek Surya Arimbawa I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Komang Wiratama I Komang Wiratama I Komang Wiratama I Made Angga Wijaya I Made Dwi Putra Asana I Made Dwi Putra Asana I Made Muryasa I Made Oka Widyantara I Made Subrata Sandhiyasa I Made Subrata Sandhiyasa I Nyoman Alit Arsana I Nyoman Jayanegara I Nyoman Tri Anindia Putra I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Candra Jumariana I Putu Eka Giri Gunawan I Putu H Permana I Putu Hendika Permana I Putu Hendika Permana I Putu Hery Setiawan I Putu Yudi Pratama I Wayan Dani Pranata I Wayan Dharma Suryawan I Wayan Sudiarsa I WAYAN SUDIARSA Ida Bagus Ary Indra Iswara Ida Bagus Gede Sarasvananda Ida Bagus Gede Sarasvananda Ida Bagus Nyoman Pascima Ika Arfiani Indra Pratistha Iwan Adicandra J.A, Qurrotul Ainia Jatila , I Gede Mahesa Putra Jaya, I Made Krisna Jayadi, I Dewa Gede Wahyu Jimmy H Moedjahedy Jullev Atmadji, Ery Setiyawan Kadek Ari Prayoga Putra Kencana Putri, Ida Ayu Putu Calista Ketut Jaya Atmaja Ketut Ngurah Semadi Ketut Sepdyana Kartini Khoirun Nisa Komang Kurniawan Widiartha Krinayanti, Ni Putu Krisna, I Gede Anugrah Adi Kusuma Dewi, Ni Wayan Jeri Kusuma, Kadek Ngurah Adi Laksono Trisnantoro Lalu Puji Indra Kharisma Legito . Libraeni, Luh Gede Bevi Made D W Aristana Made Dona Wahyu Aristana Made Dona Wahyu Arsitana Made Leo Radhitya Made Suci Ariantini Mahardika , Dewa Gede Candra Maharianingsih, Ni Made Maulidah, Salsa Bila Jihan Meinarni , Ni Putu Suci Meinarni, Ni Putu Suci Meliana, Putu Mita Melyawati, Ni Luh Putu Mesran, Mesran Moh. Erkamim Muammar Khaddafi Muh. Fahrurrozi Muhammad Habibi Muni, Gede Dharma Sahasra Murti , Ayu Jihwani Mustika Wati Alfia Ningtyas Ni Komang Dani Juniantari Ni Luh Ayu Prima Dania Ni Luh Putu Ayu Cintia Utami Ni Luh Wiwik Sri Rahayu Ginantra Ni Made Chintya Sasri Ni Made Dwi Puspitawati Ni Made Maharianingsih Ni Made Sri Dadi Sukerthi Ni Nyoman Asti Sri Wahyuni Ni Nyoman Ayu J. Sastaparamitha Ni Putu Eka Kherismawati Ni Putu Eka Kherismawati Ni Putu Widantari Suandana Ni Putu Yuniawati Yunia Ni Wayan Eka Wijayanti Ni Wayan Suardiati Putri Nicodemus Mardanus Setiohardjo Nofirman, N Noris, I Kadek Novaria, Rachmawati Pande Putu Sukma Awantari Pande, Ni Kadek Nita Noviani Partama, I GD. Yudha Perani Rosyani Pramawati, I.D.A Tantri Pramita, Dewa Ayu Kadek Pramudita, I Gusti Ngurah Agus Ega Patria Pranata, I Wayan Dani Priadinata, I Putu Bramasta Puspitayani, Ida Ayu Dwi Putra, I Kadek Nurcahyo Putra, Putu Agus Febri Sedana Putra, Putu Satria Udyana Putri, Ida Ayu Putu Calista Kencana Putri, Rozza Maudina Ayuwan Putu Adreal Candranatha Putu Hendra Premana Putu Praba Santika Putu Praba Santika Putu Praba Santika PUTU SUGIARTAWAN Putu Sugiartawan Putu Sugiartawan Putu Wirayudi Aditama Rachmat Radhitya, I Made Leo Radhitya, Made Leo Revan Dwi Hanza Rezania Agramanisti Azdy, Rezania Agramanisti Rhaishudin Jafar Rumandan Riana, Roni Rikcy Sanusi Rini Komalasari risaldi, risaldi Riska Aryanti Rizkita Ayu Mutiarani Robbi Rahim Sandhiyasa, I Made Subrata Sandika, I Kadek Budi Sanusi, Rikcy Saputra, Gusti Bagus Arya Savitri, Ni Kadek Wiliya Sekarsari, Yulia Ayu Semadi, Ketut Ngurah Sepriano Sepriano Septiawan, I Kadek Jerry Sri Aryati, Komang Sudiani, Ni Made Sugiarta, Putu Agus Arya Sastra Sugihya Artha Dwipayani Sumiyatun Sunarya, I Wayan Susatyo Adhi Pramono, Susatyo Adhi Tika, I Gede Bagus Arya Merta Tukino, Tukino Tuti Marjan Fuadi Wahyudi, I Putu Alfin Teguh Wayan Gede Suka Parwita Welda Widiantara, I Komang Widiantari, Ni Komang Mira Widiari, Ni Putu Diva Septa Widiartha, Komang Kurniawan Widyatama, I Dewa Gede Surya Wiguna, I Kadek Artha Wiguna, I Komang Arya Ganda Wijaya, Bagus Kusuma Winata, I Putu Erick Prawira Winatha, Komang Redy Wulandari, Dewa Ayu Putri Yarimani Laia Yohana Jun Yuri Prima Fittryani, Yuri Prima