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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 Journal Abdimas Paspama Service
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Determination of MSMEs Business Feasibility Decisions using the Profile Matching Method Maulidah, Salsa Bila Jihan; Sudipa, I Gede Iwan; Fittryani, Yuri Prima; Widiartha, Komang Kurniawan; Winatha, Komang Redy
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13638

Abstract

Micro and Medium Enterprises (MSMEs) in Bali contribute to the local economy. When operating a business, it is crucial to evaluate the viability of MSME enterprises to enhance the calibre of business offerings and services. Nevertheless, the lack of competence to establish the parameters or criteria for evaluating the viability of a firm poses challenges for MSMEs in decision-making. This study presents a business feasibility assessment model utilising the Profile Matching method to aid in resolving issues and supporting Micro, Small, and Medium Enterprises (MSMEs) in making informed decisions for the long-term viability of their businesses. This study examines the feasibility of MSME businesses using the Profile Matching method. The method involves assessing 13 criteria and selecting from 10 alternatives. The process includes determining initial and target values, weighting criteria, grouping core and secondary factors, calculating total values, and ranking. The final results indicate which MSMEs are feasible and which ones require further evaluation. According to the calculations using the Profile Matching method, MSME 5 has a value of 27.80, indicating its feasibility.
Comparison of MAGIQ, MABAC, MARCOS, and MOORA Methods in Multi-Criteria Problems Muni, Gede Dharma Sahasra; Sudipa, I Gede Iwan; Meinarni, Ni Putu Suci; Wiguna, I Komang Arya Ganda; Sandhiyasa, I Made Subrata
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13639

Abstract

Determining the best alternative from many criteria is one of the core problems in decision making, both routine and non-routine problems. One of them is in the problem of determining egg suppliers. Eggs are one of the basic needs of the community so that the demand for eggs is always increasing, this makes the emergence of many egg agents in distributing and fulfilling needs. Selective and careful selection is needed in order to get a supplier that meets the desired expectations. Problems then arise in the selection of egg suppliers that are not in accordance with the expectations of the manager. In determining egg suppliers that have been carried out by UD Taluh Subur, only by means of a simple comparison between several factors such as price, production quantity, and quality without considering other factors. In addition to this, business managers have limited knowledge in statistical and business decision making. To optimize the supplier selection process, a Decision Support System can be used to help provide recommendations for selecting prospective suppliers of fixed eggs. Based on the situation of decision makers who have limited knowledge in statistical decision making, the MAGIQ method is suitable for weighting. To provide a more accurate ranking, additional methods such as the MABAC, MARCOS, and MOORA methods are used. The purpose of this research is to focus on which method is most recommended for the case study faced in the research based on the analysis results of the sensitivity test. The results of the sensitivity test show that the MAGIQ-MABAC method has the highest value of 4.42737%, then the MAGIQ-MOORA method with a value of 2.34415% and the MAGIQ-MARCOS method with a value of 0.45729%.
UX Analysis on SpeedID Application Using Usability Testing Method and System Usability Scale Arslayandi, Fiqhan; Sudipa, I Gede Iwan; Pramita, Dewa Ayu Kadek; Suryawan, I Gede Totok; Widiartha, Komang Kurniawan
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13678

Abstract

The SpeedID application is a smart city application developed by a subsidiary of PT Bamboomedia Cipta Persada, namely PT Inovasi Solusi Nusantara since 5 years ago. The SpeedID application wants to present a solution to the city's problems to become a new digital identity for the smart city community. Because it was only developed 5 years ago, the SpeedID application is classified as a new application and has never been analyzed for usability before. Usability analysis is carried out to improve user experience, so that the SpeedID application can be accepted and used more easily by users. This research uses Usability Testing method with Performance Measurement and Retrospective Think Aloud (RTA) techniques and System Usability Scale (SUS). The results obtained are the SpeedID application has a quality that cannot be said to be effective, efficient and meet user satisfaction. In addition, the average score of the System Usability Scale (SUS) Questionnaire is 70.33. The score is rated "C" with an adjective rating of "Good" with the acceptance range included in the "Marginal" category, and finally the net promotion score (NPS) is included in the "Passive" category, which explains that the use of the SpeedID application gets an assessment that is still marginalized by its users. This shows that the SpeedID application still urgently needs correction to improve quality to its users and design improvements also need to be made so that the SpeedID application is even better at meeting user expectations in the future.
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.
Co-Authors A.A. Tri Wulandari Mayun Achmad Selamat Fauzi Aditama Kadek Aditama, Dewa Made Marta Agus Perdana Windarto Ahmad Jurnaidi Wahidin Alfiah, Agry Ali Zainal Abidin Alaydrus Ali, Raihan Andika, I Gede Ani Nida’ia Mustafida Aniek Suryanti Kusuma, Aniek Suryanti Apriana, Ketut Adhi Arianto Muditomo Aripurnama, I Kadek Ade 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 B. Herawan Hayadi Bagus Kusuma Wijaya Bagus Kusuma Wijaya Cakranegara, Pandu Adi Cakranegara, Pandu Adi Cetiawan, Arie 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 Emy Yunita Rahma Pratiwi Erlina Putri, Ni Putu Mita Fajar Muharam Fajriana, Fajriana Gede Surya Mahendra Gunawan, I Komang Agus Bryan 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 Gede Sudiantara I Gede Totok Suryawan I Gede Totok Suryawan I Gusti Agus Adek Putra Ardiwinata I Gusti Made Ngurah Desnanjaya I Kadek Adiana Putra 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 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 Nyoman Alit Arsana I Nyoman Alit Arsana 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 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 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 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 Putu Eka Kherismawati Ni Putu Eka Kherismawati Ni Putu Widantari Suandana Ni Putu Yuniawati Yunia 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 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, Rozza Maudina Ayuwan Putu Hendra Premana Putu Praba Santika Putu Praba Santika Putu Praba Santika PUTU SUGIARTAWAN Putu Sugiartawan Putu Sugiartawan Putu Wirayudi Aditama Putu Wirayudi Aditama Putu Wirayudi Aditama 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 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 Komang Arya Ganda Wijaya, Bagus Kusuma Winatha, Komang Redy Wulandari, Dewa Ayu Putri Yarimani Laia Yohana Jun Yuri Prima Fittryani, Yuri Prima