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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) 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 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 Minfo Polgan (JMP) 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 Journal of Business, Social and Technology Eduvest - Journal of Universal Studies Journal of Software Engineering and Information System (SEIS) Journal of Social Work and Empowerment 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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Prediksi Pendapatan Penjualan Menggunakan Metode Double Exponential Smoothing Pada Toko Retail XYZ I Gede Sudiantara; I Made Oka Widyantara; I Gede Iwan Sudipa; I Gusti Agus Adek Putra Ardiwinata
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

Revenue is a key indicator in determining a company's financial success, both for identifying potential profits and losses. This predictive model is designed to assist management in developing strategies to increase product sales. Accurate forecasting can provide early warnings regarding the actions store management needs to take. This study employs the Double Exponential Smoothing Brown method with a smoothing parameter alpha (?) of 0.5. The analysis results indicate that the Mean Absolute Percentage Error (MAPE) values range from 0.26% to 4.29%, demonstrating a high level of accuracy. Based on these MAPE results, the predictive model is then implemented into a web-based system. This system allows management to access information anytime and anywhere. Therefore, this prediction system is expected to assist the store in making strategic decisions, particularly in managing and increasing future revenues
Pelatihan dan Pendampingan Implementasi Aplikasi Iuran Digital dalam Mendukung Penerapan E-Governance pada Tingkat Dusun Sudipa, I Gede Iwan; Radhitya, Made Leo; Wijaya, Bagus Kusuma
JE (Journal of Empowerment) Vol 5, No 2 (2024): DESEMBER
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/je.v5i2.4649

Abstract

AbstrakPengelolaan iuran secara manual di Dusun Tegal Kori Kaja, Denpasar Utara, menyebabkan inefisiensi dan ketidakpercayaan warga. Tujuan pengabdian ini adalah meningkatkan transparansi, akuntabilitas, dan efisiensi pengelolaan dana melalui penerapan aplikasi iuran digital berbasis web dan mobile. Metode yang digunakan meliputi sosialisasi, pelatihan, dan pendampingan pada kelompok pecalang (10 orang) dan warga (40 orang). Evaluasi dilakukan dengan pre-test dan post-test untuk mengukur peningkatan pemahaman. Hasil menunjukkan peningkatan pemahaman pecalang sebesar 80% dan warga sebesar 85%. Aplikasi iuran digital memudahkan proses pencatatan, pelaporan, serta pembayaran secara digital, yang disambut dengan kepuasan pengguna mencapai rata-rata 79,22% untuk warga dan 77,56% untuk pecalang. Implementasi ini diharapkan dapat memperkuat e-governance di tingkat dusun dan direplikasi pada wilayah dusun lain pada Desa Ubung Kaja, Denpasar Utara. Abstract Manual management of dues in Tegal Kori Kaja Hamlet, North Denpasar, causes inefficiency and distrust of residents. The purpose of this service is to increase transparency, accountability, and efficiency of fund management through the application of web-based and mobile digital dues applications. The methods used include socialization, training, and mentoring to pecalang groups (10 people) and residents (40 people). Evaluation was conducted with pre-test and post-test to measure the improvement of understanding. The results showed an increase in understanding of pecalang by 80% and residents by 85%. The digital dues application facilitates the process of recording, reporting, and payment digitally, which is welcomed by user satisfaction reaching an average of 79.22% for residents and 77.56% for pecalang.This implementation is expected to strengthen e-governance at the hamlet level and be replicated in other hamlet areas in Ubung Kaja Village, North Denpasar.
Analisis Sentimen Opini Publik Terhadap Konser Coldplay Di Jakarta Pada Twitter Menggunakan Metode Support Vector Machine Hidayatulloh, Fachmi; Andika, I Gede; Suryawan, I Wayan Dharma; Ariantini, Made Suci; Sudipa, I Gede Iwan
INFORMAL: Informatics Journal Vol 9 No 2 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i2.46046

Abstract

Advances in information and communication technology are changing the way humans obtain information. One of them is through social media Twitter. Twitter is a social media that is famous as a medium for general public opinion. There are many discussion topics that people respond to on Twitter. One of the topics on Twitter social media that is trending is related to the Coldplay Jakarta concert. The Coldplay Jakarta concert event received various responses from netizens. This is because the public is very enthusiastic about watching this British music group. However, public enthusiasm did not run smoothly due to the emergence of various phenomena and problems that occurred before and after this event was held. Therefore, the sentiments given are very diverse. Starting from negative sentiments to positive sentiments. The sentiment analysis process can find and solve problems based on public sentiment on Twitter. The dataset was obtained through a data crawling process using Google Colabs with the Python programming language. The total dataset obtained was 1,831 raw datasets. After that, the dataset is processed in data cleansing which aims to remove components that are not needed in sentiment analysis. Next, the dataset is labeled negative and positive. Then pre-processing is carried out on the data that has been previously labeled, and a word weighting process is also carried out using Term Frequency - Inverse Document Frequency (TF-IDF). After that, modeling was carried out using the Support Vector Machine classification method and the final process was test evaluation. The number of datasets obtained after going through the cleaning and labeling process is 1,000. The dataset is divided into training data and test data in a ratio of 80:20. The results obtained from the Support Vector Machine method show an accuracy percentage of 80.97%, precision of 81.59% and recall of 79.12. The sentiment test results from the test data were 107 positive and 93 negative
Implementasi Metode Analytical Hierarchy Process Dan Interpolasi Linier Dalam Penentuan Lokasi Wisata Di Kabupaten Karangasem Sudipa, I Gede Iwan; Wiguna, I Komang Arya Ganda; Putra, I Nyoman Tri Anindia; Hardiatama, Kadek
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.383

Abstract

Bali is known for its tourism sector, so it has always been one of the alternative tourist destinations for local and foreign tourists. Almost every district in Bali has interesting tourist attractions to visit for tourists. When traveling, tourists usually decide to visit interesting tourist destinations. The number of tourist destinations available, often makes tourists confused about choosing a destination according to their preferences. Therefore, this research is intended for tourists to be able to determine alternative priority tourist sites in Karangasem Regency. In this study, data were collected from 75 respondents to find out alternative tourist sites in Karangasem, and to determine the criteria to be considered for traveling. These criteria are rides provided at tourist sites (C1), price of admission to tourist sites (C2), distance from tourist sites to city center (C3) and facilities provided at tourist sites (C4). 4 alternative tourism data used in the calculation by producing alternative tourist sites at Taman Ujung as the best alternative. The method used is the Analytical Hierarchy Process (AHP) to produce the weighted criteria, scoring the ticket price and distance values using Linear Interpolation and calculating the final value using the Cost and Benefit normalization process. The results of this study can provide alternative tourist locations for domestic tourists who want to vacation in Karangasem Regency.
Kombinasi Multi Factor Evalution Process (MFEP) Dan Equal Weight Dalam Penentuan Tingkat Kesejahteraan Masyarakat Sudipa, I Gede Iwan; Aryati, Komang Sri
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.300

Abstract

Community welfare reflects the equal distribution of social life in society. Various government assistance is provided to support the process of equal distribution of welfare. By knowing each community's level of welfare, aid can be provided on the right target principle. There are 21 assessment indicators used in determining the level of community welfare. In determining the level of community welfare, it is necessary to apply multicriteria decision-making techniques to determine the grouping of each category of community level. This study used a combination of the Multi-Factor Evaluation Process (MFEP) method to calculate the final evaluation value of 21 assessment indicators and determine the level of community welfare categories. Equal Weight method for determining the weight according to the number of assessment criteria with the same criterium importance. Combining the two methods above is to produce an alternative evaluation value and a category of community welfare level based on the final value of each alternative to the assessment indicator.
Analisis Sensitivitas Prioritas Kriteria Pada Metode Analytical Hierarchy Process (Kasus Penentuan Pemberian Kredit) Wiguna, I Komang Arya Ganda; Semadi, Ketut Ngurah; Sudipa, I Gede Iwan; Septiawan, I Kadek Jerry
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.420

Abstract

The criteria affect a priority decision to find out the most important criteria in the Analytical Hierarchy Process (AHP) seen from the priority weights generated by the calculation. However, the analysis of the importance of priorities is to find out how important changes in the weight of the criteria can change the order results of alternative rankings and how critical the alternative values on the criteria are in influencing the ranking results. This study uses an example of providing credit with six criteria, namely Collateral (C1), Business Status (C2), Total Dependents (C3), Loan Amount (C4), Ability to Pay (C5) and Loan Term (C6). The test results from the three processes of sensitivity analysis with changes in the weight of the criteria show criteria C2 with a sensitivity value of 1.13284, Criterion C1 with a sensitivity value of 0.34874 and Criterion C5 with a sensitivity value of 1.078735. The highest percentage of alternative changes shows criteria C2, C4 and C5 with a percentage of 16.67%
Implementasi Metode Preference Selection Index Dalam Penentuan Jaringan Dan Pemanfaatan Internet Pada Provinsi Indonesia Dewantara, Rizki; Cakranegara, Pandu Adi; Wahidin, Ahmad Jurnaidi; Muditomo, Arianto; Sudipa, I Gede Iwan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.527

Abstract

The era of digital society is strongly supported by the development of information and communication technology, along with the use of the internet by the community, making the digital era help every community activity. The progress of internet development in Indonesia cannot be separated from the distribution of network infrastructure in all urban (urban) and rural (rural) areas in all provinces in Indonesia. Based on data from the Central Statistics Agency (BPS) for the period 2017 - 2020, this study aims to determine which of the 34 provinces in Indonesia are provinces that have a strong and stable internet network in urban and rural areas, as well as regions in Indonesia whose people are significantly utilizing the use of the internet in their daily activities in both urban and rural areas. The selection process uses eight assessment criteria from aspects of the expansion and distribution of internet network quality and internet utilization for rural and urban communities in the province of Indonesia. In this study, the method of solving the problem of multi-criteria decision-making is the Preference Selection Index (PSI) method. The results of the final calculation of the PSI method from 34 alternatives determine the five best provinces for expanding the internet network and internet utilization in 2020, namely the alternative provinces of Central Java, West Java, East Java, South Sumatra, and Aceh.
Assessing Local Small Businesses: A Decision-Making Framework Using the COPRAS Method Sugiarta, Putu Agus Arya Sastra; Dwijaputra, I Kadek; Putra, Putu Agus Febri Sedana; Ali, Raihan; Sudipa, I Gede Iwan
TECHNOVATE: Journal of Information Technology and Strategic Innovation Management Vol. 2 No. 1 (2025): January 2025
Publisher : PT.KARYA GEMAH RIPAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52432/technovate.2.1.2025.39-50

Abstract

The selection of optimal dining places for students around the INSTIKI campus is often a challenge due to the lack of organized information. This research proposes an evaluation framework using the Complex Proportional Assessment (COPRAS) method, a Multi-Criteria Decision Making (MCDM) approach, to assess and rank restaurants based on various criteria, such as price, food quality, production capacity, distance to campus, and reputation. Data was collected through surveys, field observations, and online reviews, and analyzed using COPRAS. The results showed that the best alternative was Mie Gacoan Pakerisan with the highest utility value (100%). With this approach, students can choose a dining venue that suits their needs, while local small businesses benefit from transparent data-driven evaluation.
Analisis Sensitivitas AHP-SAW dan ROC-SAW dalam Pengambilan Keputusan Multikriteria Sudipa, I Gede Iwan; Puspitayani, Ida Ayu Dwi
International Journal of Natural Science and Engineering Vol. 3 No. 2 (2019): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (752.295 KB) | DOI: 10.23887/ijnse.v3i2.22229

Abstract

Beasiswa merupakan salah satu upaya yang dilakukan pemerintah dalam mendorong dan membantu potensi kemajuan pendidikan di negara Indonesia, salah satunya adalah beasiswa Peningkatan Prestasi Akademik(PPA) sehingga diperlukan seleksi penerima beasiswa untuk menentukan penerima beasiswa yang sesuai dengan kriteria penilaian. Permasalahan seleksi beasiswa termasuk kedalam permasalahan Multi Attribute Decision Making (MADM). Penelitian ini menganalisis masalah MADM yaitu pemberian beasiswa dengan menggunakan kombinasi metode Analytical Hierarchy Process (AHP), Simple Additive Weighting(SAW) dan model pemberian bobot Rank Order Centroid(ROC). Pengujian metode yang sesuai dilakukan dengan melakukan analisis sensitivitas untuk mengetahui kombinasi metode yang paling sensitif dalam menghasilkan perankingan akhir penerima beasiswa. Dari hasil pengujian analisis sensitivitas kombinasi ROC-SAW menghasilkan nilai sensitivitas terkecil dengan nilai 0.000144, dan dari 18 percobaan perubahan bobot yang dilakukan untuk mengetahui perubahan ranking hasil akhir didapatkan hasil bahwa metode AHP-SAW menghasilkan perubahan ranking dengan persentase 80,56% dari ranking awal, dan ROC-SAW menghasilkan perubahan ranking dengan persentase 90,83% dari ranking awal. Kata Kunci: Analisis Sensitivitas, AHP-SAW, ROC-SAW, Multikriteria 
Pendekatan Penentuan Bobot dengan Surrogate Weighting Procedures untuk Metode Simple Additive Weighting dalam Pengambilan Keputusan Multikriteria Sudipa, I Gede Iwan; Sri Aryati, Komang
International Journal of Natural Science and Engineering Vol. 3 No. 3 (2019): October
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (683.628 KB) | DOI: 10.23887/ijnse.v3i3.24146

Abstract

Penentuan bobot multikriteria dalam pengambilan keputusan menjadi suatu kesulitan bagi pengambil keputusan, penentuan bobot diperlukan untuk melakukan evaluasi kriteria. Namun dalam beberapa situasi pengambil keputusan  tidak percaya diri atau tidak memiliki pengetahuan untuk mendefinisikan nilai preferensi untuk bobot dan lebih menyukai menggunakan informasi parsial dan penilaian subyektif terhadap bobot kriteria. Salah satu cara penentuan bobot adalah dengan menentukan urutan prioritas kriteria dan menggunakan Surrogate Weight (bobot pengganti) untuk menentukan bobot sesuai dengan jumlah kriteria yang digunakan. Dalam penelitian ini mengimplementasikan Surrogate Weight Procedures yang terdiri dari Rank Sum(RS), Rank Reciprocal(RR), Rank Order Centroid(ROC) dan Equal Weight(EW) untuk menentukan bobot dan metode Simple Additive Weighting (SAW) untuk melakukan perankingan. Simulasi kasus yang digunakan yaitu seleksi pemberian beasiswa PPA (Peningkatan Prestasi Akademik) dengan  9 kriteria dan 22 alternatif. Hasil pengujian dalam penelitian ini yaitu analisis perbandingan hasil akhir alternatif dari kombinasi metode RS-SAW, RR-SAW, ROC-SAW dan EW-SAW .Kata Kunci : Multikriteria,Surrogate Weight, SAW
Co-Authors A.A. Tri Wulandari Mayun Achmad Selamat Fauzi Achmad Selamat Fauzi Adi Panca Saputra Iskandar 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 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 Eka Ayu Purnama Lestari Ekayana, Anak Agung Gede Emy Yunita Rahma Pratiwi, Emy Yunita Rahma Erlina Putri, Ni Putu Mita Ery Setiyawan Jullev Atmadji Fajar Muharam Fajriana, Fajriana Gede Surya Mahendra Gotama, I Gusti Agung Raditiya Gunawan, I Komang Agus Bryan Gusti Ayu Shinta Dwi Astari 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 Made Yudi Antara I Gede Nanda Fredika Natalegawa I Gede Sudiantara I Gede Totok Suryawan I Gede Totok Suryawan I Gusti Agung Indrawan 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 Dwi Gandika Supartha I Kadek Dwijaputra 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 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 Nyoman Widhi Adnyana I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Alfin Teguh Wahyudi 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 Mahesa Kama Artha 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 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 Luh Gede Bevi Libraeni Made D W Aristana Made Dona Wahyu Aristana Made Dona Wahyu Arsitana Made Leo Radhitya Made Leo Radhitya Made Suci Ariantini Mahardika , Dewa Gede Candra Maharianingsih, Ni Made Mateus Jemboin 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 Eka Kherismawati Ni Putu Widantari Suandana Ni Putu Widantari Suandana Ni Putu Yuniawati Yunia Ni Wayan Eka Wijayanti Ni Wayan Jeri Kusumadewi 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 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 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 Yasa, I Wayan Adi Putra Yohana Jun Yuri Prima Fittryani, Yuri Prima