p-Index From 2021 - 2026
19.009
P-Index
This Author published in this journals
All Journal Coding: Jurnal Komputer dan Aplikasi Jurnal TIMES CESS (Journal of Computer Engineering, System and Science) JURNAL MEDIA INFORMATIKA BUDIDARMA Jusikom : Jurnal Sistem Komputer Musirawas JMM (Jurnal Masyarakat Mandiri) IRJE (Indonesian Research Journal in Education) ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL PENDIDIKAN TAMBUSAI JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JUSIM (Jurnal Sistem Informasi Musirawas) Building of Informatics, Technology and Science Journal of English Education and Teaching (JEET) JISKa (Jurnal Informatika Sunan Kalijaga) JURNAL MAHAJANA INFORMASI Jurnal Teknologi Dan Sistem Informasi Bisnis JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat International Journal of Advances in Data and Information Systems Journal Zetroem Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Bulletin of Computer Science Research Instal : Jurnal Komputer Bulletin of Information Technology (BIT) Jurnal Minfo Polgan (JMP) Jurnal Nasional Teknologi Komputer PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Sistem Pendukung Keputusan dengan Aplikasi Jurnal Sistim Informasi dan Teknologi Jurnal Kajian Islam Modern Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Conference on Sciences Development and Technology Al-Manaj International Journal of Information System & Innovative Technology Innovative: Journal Of Social Science Research JURNAL PENDIDIKAN DAN KEGURUAN Jurnal Manajemen Sistem Informasi Communication and Information Journal Jurnal Pendidikan dan Ilmu Sosial Journal Of Informatics And Busisnes Jurnal Sistem Informasi dan Ilmu Komputer JRIIN :Jurnal Riset Informatika dan Inovasi Jurnal Penelitian Teknologi Informasi dan Sains Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Bigint Computing Journal Jurnal Testing dan Implementasi Sistem Informasi Router : Jurnal Teknik Informatika dan Terapan Repeater: Publikasi Teknik Informatika dan Jaringan Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Ignite: Journal Islamic Global Network for Information Technology and Entrepreneurship Jurnal Ilmiah Informatika dan Komputer International Journal of Information System and Innovative Technology Journal of Computer Science Artificial Intelligence and Communications Jurnal Ilmu Komputer dan Teknik Informatika Jurnal Pengabdian Masyarakat Berdampak Journal of Electrical Engineering Research Router : Jurnal Teknik Informatika dan Terapan Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies Prosiding Seminar Nasional Ilmu Komputer, Sosial Sains, Teknik Dan Multi-disiplin Ilmu Jurnal Pendidikan Agama Islam Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Komunikasi Jurnal Kendali Teknik dan Sains Journal of Information Technology and Systems Engineering International Journal of Language and Ubiquitous Learning
Claim Missing Document
Check
Articles

Desain Dan Pembangunan Sistem Informasi Geografis Berbasis Web Menggunakan Metode Prototype Untuk Meningkatkan Daya Tarik Wisata Iqbal, Rifqi Muhammad; Supiyandi; Mohammad Yusup
Jurnal Mahajana Informasi Vol 9 No 2 (2024): JURNAL MAHAJANA INFORMASI
Publisher : Universitas Sari Mutiara Indonesia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51544/jurnalmi.v9i2.5667

Abstract

This study aims to design and develop a web-based Geographic Information System (GIS) using the prototype method as a development approach to enhance tourism appeal. The system is designed to provide interactive, accessible, and relevant information about tourist locations, thereby supporting more effective tourism promotion. The prototype method allows for rapid design iterations between developers and stakeholders, enabling user needs to be identified and well-accommodated. The system is equipped with key features such as location search based on name or category, an interactive map supporting route navigation and location markers, as well as a responsive interface for various devices, including desktops, tablets, and smartphones. System testing was conducted using the Black Box Testing method, focusing on functionality without examining the internal structure. Testing results indicate that all key system features perform according to specifications and provide a positive user experience. Moreover, the system is capable of displaying tourist location information accurately, responsively, and attractively, thereby increasing tourists' interest in visiting. The web-based Geographic Information System developed through this research is expected to serve as an effective tool for promoting tourism and contributing positively to the growth of the tourism sector. Future development may include additional features such as user reviews, social media integration, and optimal route predictions based on real-time traffic conditions.
Facial Landmarks and Face Detection in Python With OpenCv Supiyandi Supiyandi; Icha Miranti Irzan; Risma Hidayati; Rosa Prahasti; Natria Selina
Journal Islamic Global Network for Information Technology and Entrepreneurship Vol. 2 No. 4 (2024): Journal Islamic Global Network for Information Technology and Entrepreneurship
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/ignite.v2i4.2011

Abstract

Face detection and facial landmarks are an important technique in the field of computer vision with a wide range of potential applications, including expression recognition, security systems, and human-computer interaction. This study explores the implementation of facial landmarks detection using Python and OpenCV, focusing on the use of the Haar Cascade algorithm for face detection and the Local Binary Features (LBF) model for the identification of landmarks. The proposed method implements real-time detection via webcam, capable of recognizing 68 important points on the human face. The results show that the approach using OpenCV and LBF models has good accuracy in detecting and tracking facial features in different lighting conditions and viewing angles. This research contributes to the development of efficient and reliable facial detection methods, with wide application potential in the fields of computer vision, security, and behavioral analysis.
Pendeteksi Gerakan Pada Vidio Menggunakan Pyton dan OpenCV Supiyandi Supiyandi; Andriani Sitorus; Nurul Fitriah; Havni Virul; Syawaliah Putri Rangkuti
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 6 (2024): November: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i6.522

Abstract

Motion detection is an important process in computer vision to analyze activities in videos. This study implements a simple system to detect motion in video files using Python and the OpenCV library. The system works by comparing consecutive frames in a video to detect changes and mark areas that experience motion. The implementation shows satisfactory results on various sample videos. This study provides a solution that is easy to implement and can be used in applications such as video analysis and computer-based monitoring.
Klasifikasi Bobot Telur Ayam Ras menggunakan Visi Komputer dan Segmentasi Citra Supiyandi Supiyandi; Warda Hamidah; Nazwa Alya Faradita; Arizka Anggraini; Adisty Maysandra
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 1 (2025): Februari: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v3i1.586

Abstract

This study aims to classify chicken eggs based on their physical size using the concept of computer vision and image segmentation techniques. Compared to the standard methods that have been used so far, this alternative technology is expected to help standardize measurements, cost efficiency, and work effectiveness. In this study, the classification of chicken eggs was carried out using image segmentation and regression analysis. Thus, it is expected that the classification of chicken eggs will have increasingly accurate values. After the image is taken using a webcam, the image segmentation process is used to divide the image into homogeneous areas based on the RGB (true color) color intensity similarity standard. Regression analysis is used to study and measure the relationship between the number of pixels and the weight of the object. The number of pixels indicating the area of ​​the object is the result of image segmentation, which will be entered into the regression equation to calculate the weight (grams). The results showed that the color characteristics of chicken eggs have a normalization of R at least 0.41 and a normalization of G at least 0.3. In addition, the classification test has an accuracy of 100% (36/36) and a weight estimation accuracy of 42 percent (15/36).
Deteksi Wajah dalam Foto Menggunakan Teknologi Visi Komputer Supiyandi Supiyandi; Tegar Ardiansyah; Sri Putri Balqis; Jundi Haqqoni; Salsa Nabila Iskandar
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i6.490

Abstract

This study discusses the implementation of computer vision technology for face detection in photos using two sample images with variations in lighting and face pose. The developed system combines the Viola-Jones algorithm and Convolutional Neural Networks (CNN) to enhance resilience against lighting and face orientation variations. Experimental results show high accuracy even with only two sample images. This research also develops preprocessing techniques to handle extreme lighting conditions and demonstrates efficient implementation using Python and OpenCV.
Implementasi Algoritma OCR (Optical Character Recognition) untuk Ekstraksi Informasi dari Citra Struk Transaksi Keuangan Latifa Khoirani; Rino Ariansyah; Supiyandi Supiyandi
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i6.537

Abstract

This research aims to automate the process of extracting information from financial transaction receipts using Optical Character Recognition (OCR) algorithm. The OCR algorithm is used to recognize characters from digital images of transaction receipts so that information such as date, transaction amount, and other details can be accurately identified. By applying image processing methods, this research successfully demonstrates the effectiveness of the OCR system in overcoming challenges such as varying receipt print quality. This research also offers practical solutions in the form of OCR-based applications that can be used in business environments to improve the efficiency and accuracy of financial transaction data management.
Penerapan Learning Management System Untuk Pembelajaran Jarak Jauh Sekolah Menengah Atas Irwan; Hamdi; Supiyandi
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 1 No 2 (2022): Oktober 2022
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (257.149 KB) | DOI: 10.62712/juribmas.v1i2.26

Abstract

Sekitar 19,8 juta anak sekolah menengah di Indonesia saat ini belajar di bawah ancaman pandemi COVID-19. Untuk mencegah penularan COVID-19 di lingkungan sekolah, Menteri Pendidikan dan Kebudayaan telah mengeluarkan surat edaran tentang pembelajaran daring dan kerja dari rumah, yang mewajibkan seluruh sekolah menerapkan kebijakan “Belajar dari Rumah”. Kebijakan ini harus diterapkan mulai semester baru 2020-2021 dan perlu didukung oleh Learning ManagementSystem (LMS) beserta kompetensi seluruh pemangku kepentingan. Moodle dipilih karena gratis, dapat disesuaikan, dan dapat digunakan di server khusus untuk dikelola sepenuhnya oleh sekolah. Tahapan implementasi meliputi pengumpulan kebutuhan, instalasi dan konfigurasi, pengujian, pelatihan, dan evaluasi. Evaluasi tersebut mencatat beberapa kebutuhan untuk program selanjutnya, seperti menyederhanakan proses input untuk pertanyaan kuis, mengeksplorasi fitur yang lebih dalam, dan memberikan tutorial yang lebih informatif.
Aplikasi Python untuk Deteksi Wajah pada Frame Menggunakan Algoritma Haar Cascade Classifier di OpenCV Silalahi, Dinah Makhroza; Putra, Donny Dwi; Sari, Dwi Prapita; Pramudya, Farhan Amar; Supiyandi, Supiyandi
Coding: Jurnal Komputer dan Aplikasi Vol 12, No 3 (2024): Edisi Desember 2024
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/coding.v12i3.88402

Abstract

Penelitian ini mengembangkan aplikasi berbasis Python untuk mendeteksi wajah dalam frame video secara real-time menggunakan pustaka OpenCV. Teknologi face detection memungkinkan sistem mengenali dan mendeteksi wajah manusia pada citra atau video, yang relevan untuk aplikasi di bidang keamanan dan interaksi manusia-komputer. Penelitian ini bertujuan merancang dan mengimplementasikan aplikasi yang mampu mendeteksi wajah dengan akurasi tinggi dan respons cepat. Metode yang digunakan melibatkan algoritma Haar Cascade Classifier, diterapkan dalam pengolahan frame video dari kamera secara berurutan. Hasil pengujian menunjukkan aplikasi memiliki kemampuan deteksi yang baik, bahkan dalam kondisi pencahayaan yang beragam dan posisi wajah yang tidak seragam. Dengan kecepatan deteksi yang memadai, aplikasi ini berpotensi diterapkan di berbagai bidang. Penelitian ini memberikan kontribusi signifikan terhadap pengembangan teknologi face detection yang lebih efektif dan efisien, dengan pemanfaatan algoritma Haar Cascade Classifier yang mampu mencapai tingkat akurasi rata-rata sebesar 92% dan kecepatan proses rata-rata 30 ms per frame dalam kondisi optimal.
DESAIN DAN PEMBANGUNAN SISTEM DAN APLIKASI LAYANAN VIRTUAL UNTUK UMKM KULINER BERBASIS WEB Jonhuneddi, Ridho Defvin Ananda; Harahap, Ricky Ramadhan; Supiyandi, Supiyandi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i1.2771

Abstract

Abstract: In the rapidly developing digital era, the need for Micro, Small and Medium Enterprises (MSMEs) to adopt information technology is becoming increasingly urgent. In Indonesia, culinary MSMEs have a major contribution to the national economy. However, many of these MSMEs still face obstacles in utilizing digital technology to support their business, such as limitations in accessing wider markets and facing increasingly fierce competition. A websitebased virtual service system can be a solution to help culinary MSMEs promote products, increase interaction with customers, and expand market reach. Keywords: Design, Kuliner, Virtual Service,UMKM, Website Abstrak: Dalam era digital yang semakin berkembang pesat, kebutuhan Usaha Mikro, Kecil, dan Menengah (UMKM) untuk mengadopsi teknologi informasi menjadi semakin mendesak. Di Indonesia, UMKM kuliner memiliki kontribusi besar terhadap perekonomian nasional. Namun, banyak dari UMKM ini yang masih menghadapi kendala dalam memanfaatkan teknologi digital untuk mendukung bisnis mereka, seperti keterbatasan dalam mengakses pasar yang lebih luas dan menghadapi persaingan yang semakin ketat. Sistem layanan virtual berbasis website dapat menjadi solusi untuk membantu UMKM kuliner mempromosikan produk, meningkatkan interaksi dengan pelanggan, serta memperluas Kata kunci: Desain, Kuliner, UMKM,Website
Klasifikasi Ras Anjing Menggunakan Convolutional Neural Network Pada Citra Digital Basyir, Muhammad Khalidin; Supiyandi, Supiyandi
Innovative: Journal Of Social Science Research Vol. 5 No. 1 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i1.17416

Abstract

Klasifikasi ras anjing merupakan tugas penting dalam mendukung identifikasi, pemahaman perilaku, serta kebutuhan kesehatan dan perawatan spesifik dari berbagai ras. Penelitian ini menggunakan metode Convolutional Neural Network (CNN) untuk mengklasifikasikan gambar ras anjing, memanfaatkan dataset besar dengan teknik Transfer Learning dan augmentasi data. Studi ini bertujuan untuk meningkatkan akurasi klasifikasi serta efisiensi waktu pemrosesan. Hasil menunjukkan model CNN yang dikembangkan mampu mencapai akurasi 74,38% pada data uji, mencerminkan efektivitas metode ini meskipun terdapat tantangan terkait kondisi pencahayaan dan sudut pandang. Penelitian ini berkontribusi pada pengembangan teknologi berbasis kecerdasan buatan untuk mendukung pemilik hewan peliharaan dan profesional dalam memahami kebutuhan spesifik ras anjing.
Co-Authors ., Djamaludin AA Sudharmawan, AA Abdul Karim Abdul Khaliq Abdul Kholik Abil Alwi Prayoga Abil Alwi Prayoga Adinda Fita Hidayah Adisty Maysandra Afif Badawi Agus Priawan Ahmad Akbar Ahmad Akbar Aidil Halim Lubis Aidil Halim Lubis Aisyah, Adinda Putri Akhiryani, Atna Aldi Wicaksono Aldri Frinaldi Alif Shahputra Hutasoit Almanna Hussein Amelia, Nanda Amin, Muhammad Aminuddin Indra Permana Andhika Fisryansah Ahlief Putra Andriana, Melly Andriani Sitorus Andry Wiranda Hakiki Andysah Putera Utama Siahaan Anggi Jelita Sitepu Anggi Jelita Sitepu Anggy Permata Sari Anita Yulistia Aprilia, Anggita Arie Rafika Dewi Arief Wibowo Arizka Anggraini Armasari, Selly Asep Abdul Sofyan Asih, Munjiat Setiani Asro Hayati Berutu Atika Rizki, Cindy Atna Akhiryani Aulia, Fatwa Awaluddin Nasution Ayu Nafis Azhard, Alfani Azzahra, Shafa Marwah bagus dwi nugraha Barany Fachri Basyir, Muhammad Khalidin Batubara, Raihan Syafawi Benni Ichsanda Rahman Hz Berutu, Asro Hayati Berutu, Nurhalijah Bhagaskara Cahyadi Binti Mailok, Ramlah Buyung Solihin Hasugian Cahyadi, Bhagaskara Chairul Rizal Chairul Rizal Chatarina Umbul Wahyuni Chrairul Rizal Cindy Atika Rizki Cindy Atika Rizki Cindy Atika Rizki Cindy Atika Rizki Cindya Putri Hidayat Siregar Dafa Ikhwanu Shafa Dafa Ikhwanu Shafa, Dafa Ikhwanu Shafa Dafrid Cahyadi Arifin Damanik, M. Zidan Damayanti, Fera Darbin Silaban Darmansyah, Dandi Darmawan Napitupulu Dedek Juliani Ritonga Dedek Juliani Ritonga Deni Apriadi Devita Prisilla Maharani Dian Kurnia Dian Sanjaya Dimas Teguh Izzulhaq Dina Anzani Dinah Makhroza Silalahi Divi Handoko Donny Dwi Putra Dwi Citra Tarcilia Br Berutu Dwi Prapita Sari Eka Pandu Cynthia Eka Pandu Cynthia Eka Putra Eka, Muhammad Eka, Muhammad Eko Hariyanto Enda Beatrix Middlen PA Ermaliza Ermaliza Evra Tiara Syahputri Fachri, Barany Fahmi Zahary Fahraini, Fakhita Fahrizal, Deni Fajar Ryanda Fakhita Fahraini Farhan Rizky Wahyudi Fatwa Aulia Fauzi Bima Ramadhan Fauzi Kurniawan Febrian, Alvin Fikri Aditiya Sitorus Firda Mei Amandaa Firtiani, Ade Irda Gehan Hasibuan Giovany Ginting Gita Aulia Grase Latifah Sibuea Gultom, Imeldawaty Hafizh Sallam Haikal Habibi Siregar Hakim Gilangkara Hamdi Harahap, Ardhansyah Putra Harun Al Rasyid Havni Virul Hendry Hendry Hendry Hermansyah Hermansyah Hermansyah Hidayah, Adinda Fita Hotmaidah Harahap Husni Mubarak Ibnu Faisal Icha Miranti Irzan Ilka Zufria Indriani Aulia Rahmadani Inneke Putri Irfan Azhar Gurning, Muhammad Irfan Sarif, Muhammad Irham Hidayat Shiddiq Irman Efendi Irwan Irwan Gunawan Irwan Irwan Irwan Irwan Ismahani , Siti J. Prayoga Jafar Sidik Jesica Siva Jiddan, Jayyid Jonhuneddi, Ridho Defvin Ananda Julyanda, Rizki Jundi Haqqoni Kardandi Alfarizi Siregar Khairi, Nouval Khairul Azis Khalidy, Furqan Kiki Widya Pratiwi Latifa Khoirani Latifa Khoirani Legiman Samosir Leni Marlina Lili Wilandari Lina Najwatur Rusydi Linda Wahyuni Lingga, Cindy Valentina Lisa Amelia Putri Luthfiah Azzahra Irhanda Luthfie Budie M Khori Pratama M Rasyidin Maftuhin Mahkamah Mailok, Ramlah Binti Malau, Sebastian Veron Manalu Lia Kristina Mardiah, Mardiah Martiman Suazisiwa Sarumaha Mesran, Mesran Mhd Farhan Aditiya Mhd Murini Ramadhani Mochammad Imron Awalludin Mohammad Sarip Mohammad Yusup Mohammad Yusup Mona Donaon Muhammad Abdul Mujib Muhammad Alfariz Rasyid Muhammad Alfariz Rasyid, Muhammad Alfariz Rasyid Muhammad Amin Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Evan jinanda Muhammad Evan Jinanda Muhammad Fajrotu Syahri Dalimunthe Muhammad Farhan Muhammad Habib Muhammad Hasanuddin Muhammad Hasanuddin Muhammad Hasanuddin Muhammad Hasanuddin Muhammad Hasanuddin, Muhammad Muhammad Ikhsan Muhammad Iqbal Muhammad Iqbal Muhammad Irfan Sarif Muhammad Israr Fathoni Muhammad Noor Hasan Siregar Muhammad Rezeki Fasya Muhammad Siddik Hasibuan Muhammad Syaban Fadhil Muhammad Syahuda Hasibuan Muhammad Yusuf Azmi Muhammad Zen Muhammad Zen, Muhammad Munadi Munadi Nabawy, Putri Nabila Intan Zahrani Nabila Khairuniza Najla Lubis Nanda Amelia Nasution, Salsabila Nasution, Yusuf Ramadhan Nasution, Yusuf Ramadhan Natria Selina Nazwa Aliya Muthmainnah Hsb Nazwa Alya Faradita Noor Vika Hizviani Nova Mayasari Nuranisah Nuranisah Nurhalijah Berutu Nurjannah Hasibuan Nurlela Pangaribuan Nurul Fitriah Nuzul Ramadhan Okta Frida Paranindra Ardhana Biroe Aurori Pasaribu, Saddam Husen Romadon Pramudya, Farhan Amar Pratama, Haris Pratama, M. Khoiri Putra, Donny Dwi Putra, Randi Rian Putri Andini, Putri Putri Nabila Zahra Putri, Dinda Wijaya Qanitah Taqwa Rafif Rasendriya Rahim, Fitra Rahmadani Rahmadani Rahmat Abdillah Rahmi Hayati Ramadhana Pasi Ramlah binti Mailok Ramlah Binti Mailok Ramlah binti Mailok Rasendriya, Rafif Rebecca Evelyn Laiya Riandy Putratama Nasution Ricky Ramadhan Harahap Rifky Fransdita Sebayang Rino Ariansyah Rino Ariansyah Risdawati Ginting Risma Hidayati Rismayanti Rismayanti Rismayanti Rismayanti Rizka Rizka Rizka Rizky Vita Losi Rondi Sahputra Darmono Rosa Prahasti Rusmin Saragih, Rusmin Ruth Riah Ate Tarigan Safrizal Barus Saidi Ramadan Siregar Salsa Nabila Iskandar Salsabila Nasution Salsabila Yusra Samosir, Legiman Samsul Maarif Aceh Saprina Putri Utama Ritonga Saprina Putri Utama Ritonga Sari, Dwi Prapita Sarip, Mohammad Sepriana Nurliani Sidik, Jafar Silalahi, Dinah Makhroza Siregar, Ina Namora Putri Siregar, Kardandi Alfarizi Sitha, Nur Syifa'u Siti Dian Siti Dian Fachorza Ritonga Siti Dian Fachroza Ritonga Siti Khodijah Siti Khodijah Siti Khodijah Siti Sundari Siti Sundari Sri Hariyati Fitriasih Sri Putri Balqis Sri Ratna Dewi Sthepy Situmeang suci ramadhani Surbakti, Ferdiyansyah Suryanda, Daniel Suyitno Suyitno Suyitno Suyitno Syahada Mawarda Hutagalung Syahada Mawarda Hutagalung, Syahada Mawarda Hutagalung Syahida, Silmi Syahrani Arrahma Syamsul Arifin Syawaliah Putri Rangkuti Tanjung, Agung Hafizh Tegar Ardiansyah Tita Hasanah Triguna, Aalhafis Aden Trisatin Panggabean Try Widyawanti Vera Meikana Sitorus Wahyu Eka Judistira Waldana, Fadhil Warda Hamidah Wasito, Muhammad William Lutfi Rahman Harjo Wizra Aulia Yaya Sudarya Triana Yessi Fitri Annisah Lubis Yuda Apriansyah Yusril Burhani Batubara Yusuf Ramadhan Nasutiion Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Yusup, Mohammad Zainal Arifin Zul fiqr Zulfahmi Syahputra Zulham Zulham