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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Teknik dan Ilmu Komputer JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Jurnal Informatika dan Teknik Elektro Terapan Computatio : Journal of Computer Science and Information Systems Jurnal Sinergitas PkM & CSR MITRA: Jurnal Pemberdayaan Masyarakat MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal Muara Ilmu Sosial, Humaniora, dan Seni Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Jurnal Infortech Jurnal Bakti Masyarakat Indonesia Journal of Computer and Information Systems Ampera Prosiding Konferensi Nasional PKM-CSR Indonesian Journal of Multidisciplinary Science Prosiding Seri Seminar Nasional Madani : Jurnal Pengabdian Kepada Masyarakat Communication and Information Journal International Journal of Application on Economics and Business Inovasi Teknologi Masyarakat International Journal of Advances in Artificial Intelligence and Machine Learning Jurnal Serina Abdimas
Viny Christanti M
Program Studi Teknik Informatika Fakultas Teknologi Informasi Universitas Tarumanagara Jakarta - Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Public Health Social Sciences Other

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Aplikasi Analisis Sentimen Komentar Pengguna Genshin Impact Di Play Store Muhammad Farras; Viny Christanti Mawardi; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 2 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i2.26029

Abstract

Google Play functions as the official app store for the Android operating system, allowing users to browse and discover applications developed with the Android software development kit (SDK) and published through Google. Google Play also serves as a digital media store, offering music programs, books, movies, and television shows. It previously offered Google hardware for purchase until it introduced a separate online hardware store, Google Store, on March 11, 2015.The research will utilize a web-based application development tool that uses Flask and JavaScript as the application interface, and the Pandas library from Python for data manipulation. Naïve Bayes will be employed as the methodology for analyzing sentiments based on words, and K-Fold Cross Validation will be used to strengthen the accuracy of the analysis results.Sentiment analysis typically classifies opinions into three categories: positive and negative. However, applications that can perform the process of creating training and testing sets from consumer opinion data, simultaneously analyzing consumer sentiment and dynamically measuring the accuracy of the analysis results, are still scarce. This study aims to develop an application capable of analyzing consumer sentiment with the mentioned functionalities, wherein Naive Bayes is used as the classification method.
DAMPAK KEGIATAN MERDEKA BELAJAR KAMPUS MERDEKA (MBKM) MAGANG DAN STUDI INDEPENDEN DALAM MENINGKATKAN KOMPETENSI MAHASISWA Desi Arisandi; Maitri Widya Mutiara; Viny Christanti Mawardi
Jurnal Muara Ilmu Sosial, Humaniora, dan Seni Vol. 6 No. 1 (2022): Jurnal Muara Ilmu Sosial, Humaniora, dan Seni
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmishumsen.v6i1.16163.2022

Abstract

Merdeka Belajar – Kampus Merdeka (MBKM), merupakan kebijakan Menteri Pendidikan dan Kebudayaan Riset dan Teknologi, yang bertujuan mendorong mahasiswa untuk menguasai berbagai keilmuan yang berguna untuk memasuki dunia kerja. Pada program studi Teknik Informatika dan Desain Interior, kegiatan magang/praktik kerja telah dilaksanakan mahasiswa, dalam kurun waktu 6 – 12 bulan pada perusahaan atau organisasi yang menjadi mitra program studi. Penelitian ini bertujuan untuk mengetahui dampak kegiatan magang dan studi independen dalam meningkatkan kompetensi mahasiswa. Responden yang telah mengisi kuesioner berjumlah 227 mahasiswa, terdiri dari 158 mahasiswa peserta magang dan studi independen dan 69 mahasiswa yang belum mengikuti magang dan studi independent. Kegiatan magang dan studi independen sangat membantu meningkatkan kompetensi mahasiswa baik secara hard skill maupun soft skill. Kegiatan magang dan studi independen juga memberikan kesempatan bagi mahasiswa belajar secara langsung (experiential learning) di tempat kerja/industri yang dapat menjadi bekal bagi mahasiswa untuk menghadapi dunia kerja setelah lulus dari perguruan tinggi.
PEMBUATAN WEBSITE SEWA KANTOR MENGGUNAKAN REACT JAVASCRIPT Steven; Viny Christanti Mawardi
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 12 No. 1 (2024): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v12i1.28210

Abstract

The digitalization process is developed in the communication field. One application of communication is business communication for increasing their transaction like sales, renting, and so on. The reduction COVID-19 pandemic caused companies want to increase the efficiency employees work in office. Many companies rent offices to maximize work efficiency in the office. Renting website is needed to make company easier find the right office as their need. Sewa Kantor website is the website which provides some features like searching the office, monitoring renting transaction by the account, paying the rent and down payment, and reviewing the office after renting. ReactJavascript will be used for developing the design, user interface, and some features on Sewa Kantor Website.
Penerapan Support Vector Machine untuk Analisis Sentimen Fitur Layanan pada Ulasan Gojek Jonathan Adrian Wibowo; Viny Christanti Mawardi; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 12 No. 1 (2024): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v12i1.28211

Abstract

Perkembangan teknologi informasi, seperti yang dapat dilihat oleh platform seperti Gojek telah mengubah cara manusia dalam beraktivitas. Gojek, yang hadir sebagai aplikasi layanan transportasi dan makanan berbasis teknologi telah membawa banyak dampak signifikan dalam cara masyarakat bergerak, berbelanja, dan beraktivitas. Google Play Store sebagai salah satu gerbang bagi pengguna aplikasi untuk mengakses aplikasi seperti Gojek, menyediakan informasi penting tentang aplikasi, salah satunya ulasan pengguna untuk membantu pengguna dalam membuat keputusan sebelum mengunduh aplikasi tersebut. Oleh sebab itu, penelitian ini akan melakukan analisis sentimen berbasis fitur dengan fokus ulasan pengguna terhadap fitur layanan Gojek. Dataset yang digunakan terdiri dari 2000 data ulasan pengguna yang diambil dari website Google Play Store. Proses klasifikasi akan menggunakan algoritma Support Vector Machine. Dari hasil evaluasi menggunakan Confusion Matrix, ditemukan kernel RBF mendapatkan hasil akurasi terbaik, yaitu sebesar 95,26% untuk analisis fitur dan 88,53% untuk analisis sentimen dengan pembagian data latih dan uji yang sama, yaitu 80/20. Sebaliknya, hasil kurang baik ditemukan pada kernel Polynomial, yaitu 75,06% untuk analisis fitur dengan pembagian data latih dan uji 80/20. Sedangkan, untuk analisis sentimen sebesar 79,28% dengan pembagian data latih dan uji 60/40. Dari penelitian ini, diperoleh model pelatihan terbaik yang bisa digunakan adalah kernel RBF sebagai metode klasifikasi.
Analisis Sentimen Komentar Pengguna Instagram Terhadap @Jntexpress_Bali dengan Menggunakan Metode Naïve Bayes Riwanda, Josephine Kayla; Helen, Helen; Putri, Aneesa Joenice; Herman, Sylvia; Yasser, Achmad; Gunadi, Alvin Nicolas; Mawardi, Viny Christanti
Jurnal Infortech Vol 5, No 2 (2023): Desember 2023
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v5i2.20909

Abstract

Analisis sentimen komentar pengguna Instagram @jntexpress_bali dengan metode Naïve Bayes adalah penelitian yang bertujuan untuk memahami persepsi dan tanggapan pengguna terhadap layanan pengiriman J&T Express di wilayah Bali. Dalam penelitian ini, kami mengumpulkan dan menganalisis komentar yang ditemukan di postingan Instagram resmi @jntexpress_bali, dengan fokus pada komentar yang menyatakan ketidakpuasan terkait pengiriman paket yang tidak berhasil. Metode Naïve Bayes Digunakan untuk mengklasifikasikan sentimen dari komentar-komentar ini, yang dapat dibagi menjadi tiga kategori: positif, negatif, dan netral. Hasil analisis menunjukkan bahwa sebagian besar komentar mengandung sentimen negatif, yang mencerminkan ketidakpuasan pelanggan terhadap pengiriman paket yang tidak dapat terkirim dengan baik.Penelitian ini memberikan wawasan berharga bagi J&T Express Bali untuk meningkatkan layanan mereka. Dengan mengidentifikasi sentimen negatif ini, perusahaan dapat memfokuskan upaya perbaikan pada area yang diperlukan, seperti meningkatkan kehandalan pengiriman dan komunikasi dengan pelanggan. Dengan demikian, diharapkan bahwa hasil penelitian ini mampu memberikan peningkatan terhadap perusahaan untuk memperoleh kepuasan dari pelanggan dan meningkatkan reputasi mereka dalam industri logistik di wilayah Bali.
LAMPU UNTUK PENCAHAYAAN DI AREA TENDA PENGUNGSI DESA CIHERANG KABUPATEN CIANJUR Setyaningsih, Endah; Yohanes Calvinus; Viny Christanti Mawardi; Putra Lukita
MITRA: Jurnal Pemberdayaan Masyarakat Vol. 7 No. 2 (2023): Mitra: Jurnal Pemberdayaan Masyarakat
Publisher : Institute for Research and Community Services

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/mitra.v7i2.4801

Abstract

Gempa Cianjur pada akhir tahun 2022 menyebabkan banyak rumah yang rusak sehingga tidak layak sebagai hunian. Demikian juga bangunan lainnya, seperti sekolah dan tempat ibadah. Pemerintah melalui Badan Nasional Penanggulangan Bencana (BNMP) dan masyarakat berupaya mendirikan tenda sebagai hunian sementara para warga terdampak gempa. Selain mendirikan tenda, BNMP dan masyarakat juga menyediakan makanan dan kebutuhan lainnya. Permasalahan yang selalu muncul pada saat ada gempa adalah terputusnya jaringan PLN sehingga para pengungsi baik yang masih tinggal di rumah maupun di tenda hanya menggunakan pencahayaan seadanya atau bahkan tanpa pencahayaan. Pelaksanaan PkM dipusatkan di Desa Ciherang dan sebagai mitra adalah kepala desa Ciherang. Solusi untuk menjawab permasalahan ini berupa pemasangan lampu di tenda-tenda untuk aktivitas umum, seperti tenda belajar, tenda kesehatan bayi/anak, dan tenda musala. Juga dilakukan pemasangan lampu untuk di luar tenda sebagai area sirkulasi para pengungsi. Suplai listrik diperoleh dari generator set yang telah disediakan oleh tim PkM lain. Lampu yang digunakan adalah lampu TL T5 LED dan lampu LED portabel untuk di dalam tenda dan lampu berupa untai cahaya (lighting chain) untuk di luar tenda. Metode yang digunakan berupa penerapan ipteks dalam hal pemilihan jenis lampu dan pemasangannya. Pemasangan lampu di dalam tenda dilakukan dengan dikaitkan pada tiang-tiang tenda dan digantung. Lampu untuk di luar tenda menggunakan tiang bambu yang ditancapkan ke tanah dengan tinggi 4,5 m dan jarak sekitar 5 m. Hasilnya lampu terpasang di beberapa tenda dan di luar tenda dengan baik.    
Recommendation method for selecting the rice seeds based on group decision support system Hamdani, Hamdani; Wati, Masna; Suprihanto, Didit; Salsabila, Nur Maya; Septiarini, Anindita; Nurmadewi, Dita; Mawardi, Viny Christanti
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp2656-2665

Abstract

In this paper, we provide group recommendations based on each decision makers (DMs) in choosing the best type of rice for replanting. This group decision support system (GDSS) aims to guide stakeholders who have a role in selecting rice types. In this method, we propose using technique for order preference by similarity to ideal solution (TOPSIS) to rank each DM, Borda to rank in groups, and then test it using Spearman's rank correlation to measure the relationship between system results and the method applied. The results of this study show that DM1 ranks highest in selecting Gelagai rice seeds with a preference of 0.7786. Then DM2 ranked highest with Ekor Payau rice seeds in preference 0.6529. Meanwhile, DM3 ranked highest in Gelagai rice seeds with a selection of 0.7728. The final group voting system uses Borda, where Gelagai rice seeds occupy the highest rank with the most accumulated votes from each DMs. The best option or the highest rating based on the assessment of the three DMs, DM1 as a farmer is the first rank A10 Gelagai with a score of Borda 26 in the decision group selection of superior rice seeds.
Analysis of YouTube Videos as Educational Media Using the Naive Bayes Method Phung, Mulan; Anggreiny, Phoebe Cecilia; Husada, Yusianne Kasih; Pangandaheng, Grasella Aldonia; Arwi, Adelia Vannissa; Mawardi, Viny Christanti
Journal of Computer and Information Systems Ampera Vol. 5 No. 1 (2024): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v5i1.432

Abstract

Social media has become a way for people to socialize without meeting face to face, seek knowledge, sell, and so on. Analysis of the video “How Old is the Universe? (And How Do You Know?" aims to find out the public's response to educational videos on YouTube social media. With this research, it is hoped that social media can develop as an educational medium. First, 611 video comments were collected but only 100 comments could be analyzed. Then Pre-processing was carried out with the following steps: parsing, tokenization, stopword removal, and stemming. After that, comments were divided into 4 clusters based on the occurrence of the same words and their synonyms. Comments were also classified using 3 scales, namely negative, neutral, and positive. The initial 50 comments were manually classified while the other 50 comments used Rapidminer with the Naive Bayes method. Analysis of similar videos as comparative data also used the same steps. The results of the analysis showed a positive response of 65% with advantages in the use of animation and accurate scientific presentation. Based on the analysis, it can be concluded that YouTube is effectively used as an educational medium.
PENGGUNAAN AI TOOLS UNTUK MENINGKATKAN KUALITAS SOSIAL MEDIA UMKM ARTREE Gunadi, Alvin Nicolas; Haikal M, Andrew; Mawardi, Viny Christanti
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 6 (2023): INOVASI PERGURUAN TINGGI & PERAN DUNIA INDUSTRI DALAM PENGUATAN EKOSISTEM DIGITAL & EK
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37695/pkmcsr.v6i0.1860

Abstract

In this era of digital reform, there are approximately 97 million MSME businesses in Indonesia that often take advantage of Instagram's social media features. Artree is an MSME in the Bali region where this UMKM is engaged in healthy food in the form of protein bars. The problem faced by UMKM Artree is the lack of ability to make designs and product posting descriptions, using Instagram features. The results of the analysis at the previous PkM with the analysis tools.io, Artree's social media is still very minimal in terms of the number of posts, the number of likes, and the use of hashtags. Currently, the use of AI tools such as canva, copy.ai is increasingly being used to make it easier for beginners to get ideas for creating social media content. However, AI tools that feel easy still need to be learned so that they can be used by users who are unfamiliar with technology. For IT people, they feel that using these tools will be very easy but in fact the AI ​​tools used must be understood in terms of the concept. Different texts that will be used for promos, for advertisements or for product descriptions have different rules and different ways of using the tools. AI does not mean eliminating human involvement but is used to help improve the quality of social media content. The limited funds owned by MSMEs make them unable to hire a team of content creators or their own IT team to strengthen the content of social media material. One solution that can be done is to create content that is assisted by AI applications that make their work easier. This PkM was carried out using the AI ​​Tools training and mentoring method to produce quality Artree MSME product materials. Partner problems can be overcome if partners understand and can use AI tools to create higher quality content.
SOSIALISASI APLIKASI CHATBOT BERBASIS ANDROID UNTUK GURU SD IMMANUEL JAKARTA BARAT Mawardi, Viny Christanti; Orlando, Fundroo; Lie, Nadia Natha
MADANI: Jurnal Pengabdian Kepada Masyarakat Vol 10 No 1 (2024): MADANI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM UPN Veteran Jakarta

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

Abstract

Many teaching and learning methods have been developed by associating the use of various current technologies in order to increase enthusiasm and motivation in teaching and learning activities. Immanuel Elementary School has developed teaching and learning methods using Android-based applications. The Android-based application itself is an application compiled using a programming language that can be accessed by anyone, and at any time, with or without restrictions. This socialization aims to increase knowledge about the use of Android-based applications. Knowledge of the use of Android-based applications needs to be improved so that it can assist users in completing work, making most or all of the work more efficient. Increased knowledge in using Android-based applications can also be a separate medium or means of entertainment for users for exploring something new. In socializing the Android-based Chatbot application for Immanuel Elementary School Teachers, two activities were carried out, namely guiding Immanuel Elementary School teachers in the application installation process and direct demonstrations in using the application. The result of this activity is the successful installation of the Android-based Chatbot application. Based on a survey filled out by 17 respondents who are Immanuel Elementary School teachers, 100% of teachers agree that the Android-based Chatbot application is easy to use, easy to understand, and can provide new experiences in the teaching and learning process. The results obtained from data processing of all indicators are participants agree that using this android application is easier and has an appropriate appearance. In addition, the implementation of the training has provided an increase in teacher knowledge of the meaning of chatbots and their uses.
Co-Authors Agus Budi Dharmawan Albert Jeremy Aleksander Nihcolson Andre Ertanto Andre Raymond Andreas Andreas Andreas Andreas Andreas Khosasi Anggreiny, Phoebe Cecilia Angkasa, Adhelia Anindita Septiarini, Anindita Antonius Sakti Wiradinata ARDAN, MOHAMAD Ardianto Ardianto Arwi, Adelia Vannissa Augusfian, Fendy Bagus Mulyawan bagus Mulyawan Benedicta, Cheria Berlin Ong Karo Karo Billy Fernando Brandon Alexander Jayadi Bryan Filemon Buana, Salsabila Ayunda Martsa Calvin Calvin Carlene Lim Carlene Lim Caroline Wili Harto Chintia, Tiffany Dali S Naga Dali S. Naga Dali S. Naga Dali S. Naga Dali S. Naga, MMSI Dali S.Naga Dali Santun Naga Daniel Daniel Daniel Daniel Darius A Haris Darius Andana Haris Darryl Kresnadi Nugroho Davin Pratama Dedi Trisnawarman Denis Kusbowo Desi Arisandi Desi Arisandi Desi Arisandi Dessy Yanti Destu Adiyanto Devi Ayu Permatasari Devin Abipraya Dewi Triani Dhani Andika Maharsi Didit Suprihanto, Didit Dinata, Fredickson Dyah Larasati, Annita Edward Darmaja Edy Susanto Endah Purnamasari Endah Setyaningsih Erikson T Erikson T Erwin Erwin Ery Dewayani Eryca Dhamma Shanty Fat, Joni Fendy Augusfian Ferry Ruben Yudistira Ferry Ruben Yudistira Yudistira, Ferry Ruben Yudistira Freddy Kurniawan Fredickson Dinata Fundroo Orlando Geraldine, Karmelia Gerry Geraldicky Gian Praista Gunadi, Alvin Nicolas Haikal M, Andrew Hamdani Hamdani Handoko Susanto Handoko Susanto, Handoko Handry Wardoyo Hanven Pradana Hartanto, Jonathan Chris Helen, Helen Hendri Yukianto Hendri Yukianto, Hendri Hendryli, Janson Henry Hartono Herman, Sylvia Hetty Karunia Tunjungsari Husada, Yusianne Kasih Irvan Lewenusa Irvan Lewenusa, Irvan Ivanka, Risa James Eklie Janson Hendryli Janson Hendryli Janson Hendryli Janson Hendryli Janson Hendryli Januar Mansur Jayadi, Brandon Alexander Jeanny Pragantha Jeanny Pragantha Jeffri Alimin Jesica Jesica Jesica Kurniadi, Jesica Jesslyn Jesslyn Jimmy Jimmy Joko Joko Jonathan Adrian Wibowo Joshua Octavianus Joshua Octavianus, Joshua Julius Evan Harya Chandra Kalyani, Khema Dwi Karo Karo, Berlin Ong Kenneth Hakim Kevin kevin Kevin Kurniawan H. Kevin Prasetio Kevin The Kuncoro Yoko Lavenia Lely Hiryanto Lie, Nadia Natha Livienia Livienia Maharsi, Dhani Andika Manatap Dolok Lauro, Manatap Dolok Marco Marco Maria Asinta Marpaung Maria Asinta Marpaung, Maria Asinta Marsel Dwiputra Marsel Dwiputra, Marsel Martsha Buana, Salsabilla Ayundha Marvellino Mei Ie Meiliansyah, Carens Berliyanti Meiriani Tjandra Meiriani Tjandra Meiske Yunitree Suparman Michael, Valentino Muhammad Farras Mutiara Ramadhani Sugiri Mutiara, Maitri Widya Nadia Natha Lie Naga, Dali S. Natasya, Stephanie Nathaniel, Nikolaus Niki Valentine Niki Valentine, Niki Nikolaus Nathaniel Novario Jaya Perdana Nurmadewi, Dita Okengwu, Ugochi A Orlando, Fundroo Pangandaheng, Grasella Aldonia Pharadya Ajeng Swari Sukmawati Phung, Mulan Prabu Alif Anggadiputra Prof. Dr. Ir. Dali S. Naga, MMSI Pusaka, Semerdanta Putra Lukita Putri, Aneesa Joenice rani puspitasari Rendi Kristyadi Ricky Cangniago Ricky Martin Rini, Cika Puspita Riwanda, Josephine Kayla Riyanto, Radika Yudha Rizqi Amelia, Aulya Robertus Budihalim Robertus Budihalim, Robertus Rudy Rudy Salsabila, Nur Maya Saskia Lavinsky Septiasari, Abellia Shanty, Eryca Dhamma Sharlene Solikhah, Nafia Stenly Tirta Wijaya stephanie stephanie Steven Steven Dharmawan Steven Muliadi Steven Muliadi, Steven Steven Steven Sugisandhea, Georgia Supriyanton, Adolf Asih Susilo, Andri Sylvia Wulandari, Sylvia TAKESHI, CECILIANA Tania Rizgitta Tony Tony Tony Tony TRI SUTRISNO TRI SUTRISNO Utama, Didi Widya Vanesa Nellie Vincent Marcellino Wati, Masna Widi Santoso Wijaya, Dion Dwi Willyanto, Vinnie Wilson Gozal, Wilson Yagyu Munenori M.E. Yasser, Achmad Yohan Prasetyo Sugianto Yohanes Calvinus Yolanda, Aubrey Yosua Pandapotan Sianipar Yukianti, Chiara Rizka Yulianto Yulianto Yulianto Yulianto Zyad Rusdi Zyad Rusdi