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All Journal Jurnal Teknik Informatika Jurnal Informatika dan Teknik Elektro Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Infomedia Informatik : Jurnal Ilmu Komputer Kwangsan: Jurnal Teknologi Pendidikan Informatika Community Empowerment ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat Patikala Indonesian Community Journal Jurnal Teknologi Informasi Cyberku Jurnal Sains dan Teknologi ISTP SAGA: Journal of Technology and Information Systems "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Kreativitas Pada Pengabdian Masyarakat (Krepa) Nuansa Informatika Kohesi: Jurnal Sains dan Teknologi Abdi Akommedia : Jurnal Pengabdian Masyarakat Jurnal Informatika Polinema (JIP) Jurnal Teknik Elektro dan Komputer Jurnal Kecerdasan Buatan dan Teknologi Informasi Jurnal Computer and Technology Riau Jurnal Teknik Informatika Jurnal Ilmiah Informatika dan Komputer Applied Information Technology and Computer Science (AICOMS) ILKOMEDIA: Jurnal Ilmu Komputer dan Multimedia Advance Sustainable Science, Engineering and Technology (ASSET) Jejak digital: Jurnal Ilmiah Multidisiplin Edu Komputika Journal Variable Research Journal Jurnal Ilmiah Literasi Indonesia Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat INTECH - Informatika Dan Teknologi
Ade Yusupa
Universitas Sam Ratulangi, Manado, Indonesia
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Perbandingan Algoritma Maching Learning dalam Analisis Sentimen Mobil Listrik di Indonesia pada Media Sosial Twitter/X Tarigan, Victor Tarigan; Yusupa, Ade
Jurnal Informatika Polinema Vol. 10 No. 4 (2024): Vol. 10 No. 4 (2024)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v10i4.5130

Abstract

Twitter telah menjadi platform yang penting dalam mencermati opini publik, terutama terkait dengan topik-topik populer seperti perkembangan mobil listrik di Indonesia. Dalam konteks ini, analisis sentimen dapat digunakan untuk memahami sikap dan pandangan pengguna terhadap mobil listrik. Namun, meskipun industri mobil listrik di Indonesia mengalami pertumbuhan pesat, masih ada sejumlah masalah yang perlu diatasi, seperti infrastruktur pengisian daya yang belum memadai, harga yang masih relatif tinggi, dan kesadaran masyarakat yang perlu ditingkatkan terkait manfaat lingkungan. Penelitian sebelumnya menunjukkan bahwa teknik machine learning, seperti Support Vector Machine (SVM), Random Forest, dan Naïve Bayes telah berhasil dalam menganalisis sentimen dari data Twitter terkait topik tertentu. Dalam penelitian ini, dapat diuji dan dibandingkan ketiga algoritma machine learning tersebut dalam menganalisis sentimen pengguna Twitter terhadap mobil listrik di Indonesia. Pada penelitian sudah digunakan  data dari Twitter/X untuk melakukan analisis sentimen dengan memanfaatkan metrik evaluasi seperti akurasi, presisi, dan recall. Penelitian ini bertujuan untuk mengevaluasi performa relatif dari SVM, Random Forest, dan Naïve Bayes dalam mengklasifikasikan sentimen pengguna Twitter terhadap mobil listrik. Data yang digunakan bersumber dari media sosial Twitter/X dengan jumlah data yang dijadikan bahan penelitian berjumlah 1518 data dengan rincian 870 data dengan label negatif, 143 untuk label netral, dan 502 untuk label positif. Hasil dari penelitian didapatkan bahwa Nilai akurasi tertinggi didapatkan oleh algoritma Support Vector Machine sebesar 75,62%, Nilai presisi tertinggi didapatkan oleh algoritma Naïve Bayes sebesar 81,29% dan nilai recall tertinggi adalah algoritma Support Vector Machine dengan nilai 53,88%. Dari pengujian ini algoritma terbaik yaitu algoritma Support Vector Machine.
Pemberdayaan Kelompok Asosiasi Pengusaha Industri Kecil (APIK) dalam Penerapan Teknologi Ukiran Laser pada Kerajinan Turunan Kelapa di Sulawesi Ade Yusupa; Zuldesmi Zuldesmi; Irvan Trang; Muhammad Fachruddin Suharto
I-Com: Indonesian Community Journal Vol 4 No 4 (2024): I-Com: Indonesian Community Journal (Desember 2024)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/icom.v4i4.5834

Abstract

The Small Industry Entrepreneurs Association (APIK) in North Sulawesi faces challenges in adopting modern technology to enhance the quality and efficiency of coconut-based crafts. Key issues include limited access to technology, technical skills, and product marketing. To address these challenges, community service team conducted activities involving socialization, training, and laser engraving technology implementation. Training participants were guided in using laser machines to improve product quality and expedite production. Additionally, digital marketing training was provided to help participants expand their product market reach. Training results showed a significant increase in technical skills and participants’ understanding of laser engraving technology. Pretest and posttest results indicated a notable improvement in participants' comprehension. Laser technology proved effective in boosting production efficiency and product quality. This program is expected to continue with support from the Provincial Cooperative and SME Service Center (PLUT-KUMKM) of North Sulawesi, which will provide facilities and market access for APIK artisans.
Peningkatan Keamanan Autentikasi Data Pada E-Voting Dengan Menggunakan Algoritma Luc: Security Enhancements Of Authentication Data On E-Voting By Using Luc Algorithm Sitompul, Bernad Jumadi Dehotman
Jurnal Teknik Informatika Vol. 19 No. 03 (2024): Jurnal Teknik Informatika
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/jti.v19i3.56979

Abstract

Abstract — Electronic Voting or what is abbreviated as E-voting is a voting system in an online election process. An e-voting system is very necessary to make it easier to carry out online elections such as the election of student council chairman, sub-district head election, student president election, etc. The problems that will be studied in the e-voting system are how to create a secure web-based e-voting, as well as how to control e-voting system to prevent double voting and fraud by administrators or unauthorized parties. Usually the person voting must enter a password first so that other people cannot vote using that person's rights. By applying Luc algorithm to e-voting, it is hoped that the authentication data stored in the encrypted database cannot be read directly by system administrators or unauthorized parties. Based on testing with Avalanche Effect, text lengths ranging from 8 to 16 have an Avalanche Effect value above 50%. Meanwhile, text lengths from 17 to 35 have an Avalanche Effect below 25%. So it can be concluded that the use of the Luc algorithm can be applied to text lengths of around 8 to 16 with a better level of security based on the Avalanche Effect value obtained. Key words — algorithm, authentication e-voting, cryptografi, luc.   Abstrak — Electronic Voting atau yang disingkat dengan E-voting adalah sebuah sistem pemungutan suara dalam proses sebuah pemilihan yang dilakukan secara online. Sistem e-voting sangat diperlukan untuk mempermudah dalam melakukan pemilihan secara online seperti pemilihan ketua osis, pemilihan camat, pemilihan presiden mahasiswa dan lain sebagainya. Permasalahan yang akan diteliti dalam sistem e-voting adalah bagaimana cara membuat sistem e-voting berbasis web yang aman, serta bagaimana cara mengontrol sistem e-voting agar tidak terjadi pemberian suara ganda dan kecurangan yang dilakukan oleh administrator atau pihak yang tidak berwenang. Biasanya orang yang memberikan suara harus memasukan password terlebih dahulu agar orang lain tidak bisa memberikan suara memakai hak orang tersebut. Dengan menerapkan algoritma Luc pada e-voting, diharapkan data autentikasi yang tersimpan ke dalam basis data yang sudah terenkripsi tidak dapat dibaca langsung oleh administrator sistem maupun pihak yang tidak berwenang. Berdasarkan pengujian dengan Avalanche Effect, panjang teks dengan rentang 8 sampai dengan 16 memiliki nilai Avalanche Effect diatas 50%. Sementara untuk panjang teks 17 sampai dengan 35 memiliki Avalanche Effect dibawah 25 %. Sehingga dapat disimpulkan bahwa penggunaan algoritma Luc dapat diterpakan untuk panjang teks sekitar 8 sampai dengan 16 dengan Tingkat keamanan yang lebih baik berdasarkan nilai Avalanche Effect yang diperoleh. Kata kunci — algoritma, autentikasi, e-voting, kriptografi, luc.
Development of Virtual Lab on Collision Dynamics Learning Object with Collision Algorithm Integration Yusupa, Ade; Tarigan, Victor; Sengkey, Daniel F.
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8765

Abstract

The objective of this study is to evaluate the efficacy of a Virtual Lab employing a collision algorithm in enhancing students' conceptual comprehension of collision dynamics, in comparison to traditional pedagogical approaches, within the context of physics education.The methodology employed in this study is as follows: The study employed an experimental approach, comprising a comparison between two groups: an experimental class that used the Virtual Lab, and a control class that utilised traditional teaching methods. Both groups were subjected to pre-tests to ascertain their existing level of understanding, after which post-tests were conducted to evaluate their knowledge after the instruction period. An independent t-test was employed to analyse the differences in post-test outcomes between the two groups.The results are as follows: The findings indicated a significant improvement in the experimental class's understanding, with an average increase from the pre-test to the post-test of 33.89%, in comparison to a 30.74% improvement in the control class. The results of the t-test demonstrated a statistically significant difference (t = 4.32, p < 0.05), indicating that the Virtual Lab was more effective in enhancing conceptual comprehension. In conclusion, the Virtual Lab, based on the collision algorithm, has been demonstrated to be an effective tool for teaching collision dynamics, offering a more interactive and engaging experience than traditional methods. This study highlights the potential of technology-based learning tools to enhance physics education and recommends further development of Virtual Labs with interactive features to increase accessibility and understanding in diverse educational environments.
OPTIMASI ALGORITMA ITERATIVE DICHOTOMISER 3 KOMBINASI METODE MINMAX - INFORMATION GAIN UNTUK DETEKSI WEBSITE PHISING: OPTIMASI ALGORITMA ITERATIVE DICHOTOMISER 3 KOMBINASI METODE MINMAX - INFORMATION GAIN UNTUK DETEKSI WEBSITE PHISING Tarigan, Victor; Jeremia Siregar; Adinda Franky Nelwan; Reinhard Komansilan; Ade Yusupa
Jurnal Sains dan Teknologi ISTP Vol. 22 No. 01 (2024): DESEMBER
Publisher : LPPM ISTP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59637/jsti.v22i01.419

Abstract

Deteksi website phising merupakan tantangan penting dalam keamanan siber, terutama dengan semakin canggihnya teknik-teknik phising yang digunakan untuk mengecoh pengguna dan mencuri informasi pribadi. Seiring dengan meningkatnya jumlah serangan phising, diperlukan metode yang efektif dan efisien untuk mengidentifikasi situs web berbahaya. Algoritma Iterative Dichotomiser 3 (ID3) merupakan salah satu algoritma klasifikasi yang efektif dalam konteks ini, namun kinerjanya dapat ditingkatkan melalui optimasi fitur yang digunakan. Penelitian ini bertujuan untuk mengoptimalkan Algoritma ID3 dalam mendeteksi website phising dengan menggabungkan metode Min-Max Scaling dan Information Gain untuk proses seleksi fitur. Metode ini bertujuan untuk meningkatkan akurasi model dengan hanya mempertahankan fitur-fitur yang paling relevan. Dalam proses seleksi fitur, diperoleh tiga fitur yang memiliki nilai Information Gain sebesar 0, yaitu Favicon, Iframe, dan popUpWidnow. Ketiga fitur ersebut tidak memberikan kontribusi signifikan terhadap prediksi. Fitur-fitur ini kemudian dihilangkan dari total 30 fitur yang ada, menghasilkan model yang lebih ramping dan efisien. Evaluasi algoritma ID3 dilakukan menggunakan metode k-fold cross-validation dengan 8 fold, yang memberikan gambaran lebih akurat mengenai kinerja model. Hasil pengujian menunjukkan bahwa model ID3 yang menggunakan 27 fitur terbaik menghasilkan nilai rata-rata akurasi sebesar 0.9856, presisi 0.9863, dan recall 0.9878. Di sisi lain, model ID3 yang menggunakan semua 30 fitur menghasilkan nilai rata-rata akurasi sebesar 0.9854, presisi 0.9860, dan recall 0.9878. Meskipun perbedaan akurasi antara kedua model relatif kecil, hasil ini menunjukkan bahwa seleksi fitur yang tepat dapat meningkatkan kinerja model dalam mendeteksi website phising. Penelitian ini memberikan kontribusi terhadap pengembangan teknik deteksi phising yang lebih baik dan dapat diandalkan, serta menjadi referensi untuk penelitian lebih lanjut di bidang keamanan siber.
Digitalization of MSMEs Businesses in Boalemo Regency: Strategies and skills enhancement Ade Yusupa; Aditya Lapu Kalua; Victor Tarigan
Community Empowerment Vol 9 No 4 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.10384

Abstract

In the current digital era, many MSME players in Boalemo Regency still employ conventional methods in marketing their products. The objective of this service activity is to assist MSME players in enhancing their skills and knowledge regarding business digitalization. The methods utilized in this service activity include training sessions and post-training mentoring. Training is conducted through discussion sessions with instructors and assistance in integrating businesses into the digital realm. The results of this service activity indicate that 50 participants from MSMEs have successfully improved their skills and knowledge regarding business digitalization, such as registering their business legality with the Business Identification Number (BIN), creating a Google Business Profile, and creating digital promotional photos or videos using Canva. The majority of partners have successfully completed the training program and have shown significant progress in transitioning their businesses into the digital world.
Towards competitive UMKM: Capacity building program in North Sulawesi Ade Yusupa; Victor Tarigan; Jimmy Reagen Robot
Community Empowerment Vol 9 No 8 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.11529

Abstract

APIK North Sulawesi MSME members, particularly in Manado City, face challenges in accessing quality raw materials, production technology, and effective management knowledge. To address these issues, this community service program aimed to enhance the capacity and competitiveness of MSMEs through intensive training in NIB registration, digital marketing using Google Business, and graphic design with Canva. The program successfully increased participants’ understanding and skills, with 67.5% completing all training modules. MSMEs improved business legality through NIB registration, enhanced online visibility via Google Business, and created more appealing promotional materials. Ongoing mentoring contributed to increased sales and overall business performance. This program significantly addressed APIK MSME challenges and stimulated local economic growth.
PENGEMBANGAN SISTEM INFORMASI PENGHITUNGAN PAJAK KENDARAAN BERBASIS WEB UNTUK OPTIMALISASI LAYANAN SAMSAT WILAYAH SULAWESI UTARA RAHAYAAN, JACOB ALFANICOLLS; MOKANSI, MISAEL TELDI; BATJO, LOURDES CHRISTIAN PASKAH; TARIGAN, VICTOR; YUSUPA, ADE
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6396

Abstract

Abstrak. Perhitungan pajak kendaraan di Sulawesi Utara masih menghadapi berbagai tantangan, terutama terkait akurasi, efisiensi, dan aksesibilitas informasi bagi masyarakat. Proses manual yang diterapkan sering kali menyebabkan keterlambatan, kesalahan pencatatan, dan ketidak transparan dalam perhitungan pajak. Penelitian ini bertujuan untuk mengembangkan sistem  informasi berbasis web yang mampu mempermudah proses perhitungan pajak kendaraan secara cepat, akurat, dan transparan. Metode pengembangan perangkat lunak yang digunakan adalah Waterfall yang terdiri dari tahapan analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Sistem ini dirancang menggunakan bahasa pemrograman PHP dan database MySQL, dengan fitur utama meliputi kalkulasi otomatis pajak kendaraan, pencatatan data wajib pajak, serta penyajian informasi tagihan secara real-time. Hasil akhir dari penelitian ini berupa pengembangan sistem informasi perhitungan pajak kendaraan berbasis web ini mampu menjadi solusi efektif untuk mengatasi permasalahan administrasi perpajakan di Sulawesi Utara..Abstract.Calculation of vehicle tax in North Sulawesi still faces various challenges, especially regarding accuracy, efficiency and accessibility of information for the public. The manual processes implemented often cause delays, recording errors and non-transparency in tax calculations. This research aims to develop a web-based information system that is able to simplify the process of calculating vehicle tax quickly, accurately and transparently. The software development method used is Waterfall which consists of the stages of requirements analysis, system design, implementation, testing and maintenance. This system is designed using the PHP programming language and MySQL database, with main features including automatic vehicle tax calculations, recording taxpayer data, and real-time presentation of billing information. The final result of this research is the development of a web-based vehicle tax calculation information system that can be an effective solution for overcoming tax administration problems in North Sulawesi.
Implementasi Sistem E-Book Rekomendasi Berbasis Web Sederhana Menggunakan Content-Based Filtering Supoyo, Bertrand; Fabiano Antonius Mamangkey, Xavier; Martien Mengko, Riky; Made Hendy Wijaya, I; Tarigan, Victor; Yusupa, Ade
Applied Information Technology and Computer Science (AICOMS) Vol 4 No 1 (2025)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/aicoms.v4i1.1789

Abstract

The rapid expansion of digital libraries necessitates efficient recommendation systems to help users discover relevant e-books. This study presents the implementation of a simple web-based e-book recommendation system using content-based filtering, developed with the Next.js framework to enhance web loading speed and performance. The system analyzes book metadata and textual content to generate personalized recommendations based on user preferences. Core functionalities include a responsive user interface, book similarity calculations using and cosine similarity, and real-time dynamic suggestions. By leveraging Next.js, the system benefits from server-side rendering (SSR) and static site generation (SSG), ensuring faster page loads and improved user experience. Experimental results indicate that content-based filtering effectively suggests relevant e-books but faces challenges such as the cold-start problem. Future work may integrate hybrid filtering techniques to improve recommendation accuracy and user engagement.
Pengembangan Sistem Manajemen File Terpusat Berbasis Web di Jaringan Lokal Mantik, Joy Timoty; Yusupa , Ade
Applied Information Technology and Computer Science (AICOMS) Vol 4 No 1 (2025)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/aicoms.v4i1.1793

Abstract

Managing digital documents within internal environments requires an efficient, secure, and self-sufficient system, particularly in closed networks such as those in educational institutions or offices. This study aims to design and implement a centralized file management system operating over a local area network (LAN), without relying on external services. The system is developed using PHP, MySQL, and JavaScript, and includes features such as access control, folder and file management, user activity logging, as well as notification and OTP verification via Telegram. Testing results show that all features function as expected. The system offers an effective local solution for internal document management. Future research may focus on enhancing file security and integrating advanced authentication mechanisms.
Co-Authors Abdon E. Sayori Abdul Syukur Adabaye, Sarmila Adinda Franky Nelwan Aditya Lapu Kalua Adriano Putra Imanuel Posumah Agatha Biring Agung Sutrisno Akay, Yuri Amir Tjolleng Andika Pratama Putra Nugraha Andre Immanuel Porayou Anggreini Prisilia Lumi Bakti, Andi Ikhtiar Barca Sembeng Batjo, Lourdes BATJO, LOURDES CHRISTIAN PASKAH Benedict, Edward Bernad Jumadi Dehotman Sitompul Beryl Wakas Beverly Daniel Velix Rauan Biring, Agatha Biringpasemba, Thya Oksabella Blessy Tefilla Tangkuman Brave A. Sugiarso Christian Spreafico Cleantha Polii Daniel Febrian Sengkey Dhiva Runkat Dringhuzen J. Mamahit Dringhuzen Mamahit Dringhuzen Mamahit, Dringhuzen Eman, Jonathan Emmanuela Sembeng Erlica M.I. Tutu Fabiano Antonius Mamangkey, Xavier Fajar Salinding Buntu Payuk Farsit Manoppo, Faldy Febiola Lengkong Fithratul Zalmi, Wahyuni Flouresita Udampo Genggong, Arkafali PF Geoffrey G Matantu Gigir, Winston Gizelda Felicya Jeanette Lewu Glerio Adrian Happyeaster Nathanael Maindoka Heavenly E. Kawatu Herni Herawati Elisabeth Abraham Hosiana S. R. Wuwungan Illahi, Nabil Irvan Trang Jacob Alfanicolls Rahayaan Jeheskiel Liwe Jeremia Siregar Jeremia, Imanuel Jimmy Reagen Robot Jimmy Robot Jontinus Manullang Joseph Alexander Wowor Jourgent Ligouw Kalambia, Audia Endondaya Kaligis, Jonathan Kaunang, Ronaldino Kendek Allo, Yusi Meilany Kenji Lokaputra Kenneth Palilingan Keren Mumbunan Kerenhapukh Priskila Waworuntu Kevin, Darmansyah Geraldy Kezia Aurelya Mbatono Kolang, Indri Claudia kurnia, rahmi putri Las D. Hutasoit Lasut, Aleeisandro Leatemia, Kevin Legi, Kevin Lelemboto, Jeremia Lie, Nobiana Louisa Lolong Luis Manoppo M. Ilham Akbar HS, A. Made Hendy Wijaya, I Mailangkay, Roynaldo Makasunggal, Juan Natanel mamoto, Anugerah Manoppo, Jennifer Manoppo, Michael Reynald Mantik, Joy Timoty Markus Karamoy Umboh Martien Mengko, Riky Mawara, Reza Michelly Cantika Michyta Marchantia Betsi Bawata Miracle Prayer kusen Moh. Fachruddin Suharto Mokansi, Misael MOKANSI, MISAEL TELDI Moniaga, Praise Muhammad Dwisnanto Putro Mundung, Theogravo Fidelino Nadira Tri Ardianti Purnomo Nancy Jeane Tuturoong Nancy Tuturoong Nasib Marbun Nasya Emanuel Soekamto Natalia Kristiani Pangemanan Natasha Pangemanan Nelwan, Christa Kitsy Ngama, Kezia Niken Febiana Putri Pakaya Niken Pakaya Nur Fiat, Daffa Nur Nurul Rizkyani Paat, Margareth Paath, Rivaldo Paendong, Indah Pangemanan, Jonatan Pangemanan, Natasha Parihala, Lordy Lawrence Pasanda, Marlin Syellen Patanduk, Arpen Payung, Grace Tandi Petiunaung, Joshua Ezra Porayou, Andre Princenoel Wanei Punusingon, Paskal Putung, Frico Rama Rachel Pangemanan Rafby Saputra Mokodompit Rahayaan, Jacob RAHAYAAN, JACOB ALFANICOLLS Rangian Elroi Johanes Reinal Eljre Moningka Reinhard Komansilan Rengkung, Vancel Rewur, Afny Rahel Prastika Ricardus Anggi Pramunendar Rifky P. R. Umar Rombeallo, Gabryela Sagai, Kenzu G. Salassa, Norris Elden Salsabilla Putrihanda Sancia Alicia Taligangsing Sanriomi Sintaro Sary Diane Ekawati Paturusi Sembeng, Barca Sembeng, Emmanuela Shakila Maisa Ayu Sibarani, Alu Sitanggang, Jonathan Sitompul, Natanael Stevina Lembong Sugiarso, Brave A Sugiarso, Brave Angkasa sumarauw, Joanna Sumarno, Anggraini Dwi Putri Sumendap, Rivaldy Immanuel Supoyo, Bertrand Suranta Bill Fatric Ginting Tafuama, Daniel Takalamingan, Gerald Taringan, Victor Tika Putri Agustina Tondang, Andrew Trifena Sweetly Kasenda Turangan, Yermia Umboh, Markus Umboh, Markus Karamoy Victor Obetnego Johanes Senduk Victor Tarigan Victor Taringan Virginia Tulenan Wanda Angella Pantouw Wantasen, Dafa Khairu Fadillah Winston Gigir Wiwik Akhirul Aeni Wungow, Marsel Yaulie Deo Y. Rindengan Yaulie Deo Y. Rindengan Yefta Yosia Asyel Yeremia Euodia Gumolili Yngwie R. V. S. Lumendek Yosua Jackvin Kumontoy Yuri Akay Yuri Vanli Akay Zacharias, Glorya Zefanya Kambey Zuldesmi