Article Per Year (5 Year)
p-Index From 2021 - 2026
10.986
P-Index
This Author published in this journals
All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) SITEKIN: Jurnal Sains, Teknologi dan Industri InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JMM (Jurnal Masyarakat Mandiri) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Nasional Komputasi dan Teknologi Informasi Data Science: Journal of Computing and Applied Informatics JURNAL MUTIARA AKUNTANSI Jurnal Teknologi Informasi dan Terapan (J-TIT) bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Ihsan: Jurnal Pengabdian Masyarakat Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Indonesian Journal of Education, Social Sciences and Research (IJESSR) Jurnal Fibonaci: Jurnal Pendidikan Matematika Jurnal Ilmiah Wahana Pendidikan Djtechno: Jurnal Teknologi Informasi INCODING: Journal of Informatics and Computer Science Engineering Proceeding International Seminar of Islamic Studies Bulletin of Information Technology (BIT) J-Intech (Journal of Information and Technology) Jurnal Pengabdian Pada Masyarakat Indonesia (JPPMI) sudo Jurnal Teknik Informatika Hello World Jurnal Pengabdian Masyarakat Gemilang (JPMG) Blend Sains Jurnal Teknik Wahana Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri QISTINA: Jurnal Multidisiplin Indonesia Jurnal Multidisiplin Teknologi dan Arsitektur Indonesian Journal of Education and Development Research Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Journal of Accounting Law Communication and Technology Journal of Mathematics, Computation and Statistics (JMATHCOS) Journal of Citizen Research and Development Journal of Education Transportation and Business Al'Adzkiya International of Computer Science and Information Technology Journal Journal of Information Technology
Ramadhani, Fanny
Universitas Negeri Medan
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

Published : 89 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 89 Documents
Search

 5   6   7   8   9 
Sistem Pengelolaan Data Siswa Dinamis dengan Array Dan Stack Muhammad Rizki Alfahri; Najwa Latifa Hasibuan; Raihan Insan Pratama Siagan; Fanny Ramadhani
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8424

Abstract

Abstrak - Sistem pengelolaan data siswa konvensional sering kali mengalami kesulitan dalam hal kecepatan akses, integritas data, serta kemampuan untuk mendukung operasi pembatalan (undo) dan pengulangan (redo) yang diperlukan saat ada perubahan data. Penelitian ini mengusulkan pengembangan Sistem Pengelolaan Data Siswa Dinamis yang memanfaatkan struktur data array dan stack untuk menyediakan solusi pengelolaan data siswa yang cepat, terstruktur, dan mendukung fungsi undo-redo secara efektif. Array digunakan untuk menyimpan data siswa dalam bentuk yang terstruktur, memungkinkan operasi penambahan, penghapusan, dan pembaruan data secara efisien. Sebagai pelengkap, stack diterapkan untuk mendukung fitur undo-redo yang memberikan fleksibilitas bagi pengguna dalam membatalkan atau mengulangi tindakan terakhir pada data siswa. Dalam penelitian ini, dua stack dikhususkan untuk mengelola undo dan redo secara terpisah, sehingga sistem dapat melacak riwayat operasi dan memastikan perubahan data tetap konsisten. Pengujian sistem dilakukan melalui simulasi beberapa skenario penggunaan, termasuk penambahan data siswa baru, penghapusan data, serta pembaruan data nilai siswa. Hasil pengujian menunjukkan bahwa sistem ini tidak hanya menyediakan waktu akses yang optimal dengan penggunaan memori yang efisien, tetapi juga mempercepat proses navigasi perubahan data dengan dukungan undo dan redo yang responsif. Dengan menerapkan pendekatan berbasis array untuk pengelolaan data inti dan stack untuk penelusuran riwayat perubahan, sistem ini mampu menghadirkan fungsionalitas yang lebih baik dalam hal akurasi dan efisiensi. Penelitian ini diharapkan dapat menjadi referensi untuk pengembangan sistem manajemen data siswa yang adaptif dan dinamis, serta dapat diterapkan dalam berbagai lingkungan akademik dan administrasi yang membutuhkan kontrol data yang tinggi dan fleksibilitas dalam pembaruan data.Kata kunci: Sistem Pengolaan Data, array, Stack, Undo-Redo, Pendidikan Abstract -  Conventional student data management systems often experience difficulties in terms of access speed, data integrity, as well as the ability to support undo and redo operations required when data changes. This research proposes the development of a Dynamic Student Data Management System that utilizes array and stack data structures to provide a solution for student data management that is fast, structured, and supports undo-redo functions effectively. Arrays are used to store student data in a structured form, enabling efficient operations of adding, deleting, and updating data. As a complement, a stack is implemented to support the undo-redo feature that provides flexibility for users in undoing or redoing the last action on student data. In this research, two stacks are devoted to managing undo and redo separately, so that the system can keep track of operation history and ensure data changes remain consistent. System testing was conducted through the simulation of several usage scenarios, including the addition of new student data, deletion of data, as well as updating student grade data. The test results show that the system not only provides optimized access time with efficient memory usage, but also speeds up the data change navigation process with responsive undo and redo support. By applying an array-based approach for core data management and a stack for change history browsing, the system is able to deliver better functionality in terms of accuracy and efficiency. This research is expected to be a reference for the development of adaptive and dynamic student data management systems, and can be applied in various academic and administrative environments that require high data control and flexibility in data updates.Keywords: Data Management System, array, Stack, Undo-Redo, Education
PENERAPAN SISTEM KONTROL HAMA PADI DAN MONITORING SAWAH BERBASIS INTERNET OF THINGS (IOT) DI SUMATERA UTARA Surbakti, Nurul Maulida; Dewi, Sri; Ramadhani, Fanny; Septiana, Dian; Pahlawan, Riza
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 4 (2024): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i4.25241

Abstract

Abstrak: Artikel ini membahas tentang tantangan yang dihadapi petani padi di Sumatera Utara akibat serangan hama wereng dan belalang yang menurunkan secara signifikan hasil panen padi. Untuk mengatasi permasalahan ini, pengabdian ini dilakukan dengan menerapkan teknologi Internet of Things (IoT) dalam bentuk sistem kontrol hama padi dan monitoring sawah. Teknologi ini menggunakan perangkat berbasis IoT yang dilengkapi dengan sensor lingkungan dan aktuator seperti ultrasonik dan LED UV untuk mengusir dan menangkap hama, serta aplikasi mobile untuk pemantauan real-time. Implementasi teknologi ini diharapkan dapat meningkatkan efisiensi pengelolaan pertanian, mengoptimalkan penggunaan sumber daya, dan mengurangi dampak lingkungan dari penggunaan pestisida kimia. Hasil uji coba awal menunjukkan bahwa sistem ini efektif dalam mengendalikan populasi hama, dengan potensi besar untuk meningkatkan produksi padi secara berkelanjutan di Desa Petumbukan dan daerah-daerah pertanian lainnya di Indonesia. Kelompok tani Kenanga yang terdiri dari 10 orang (4 laki-laki dan 6 perempuan) menjadi mitra dalam kegiatan ini. Mereka berada di Desa Petumbukan, Kecamatan Galang, Kabupaten Deli Serdang. Metode pelaksanaan meliputi penyajian materi, praktik, dan pendampingan selama pelatihan. Evaluasi dilakukan melalui pemantauan lapangan dan analisis data hasil uji coba, dengan indikator keberhasilan berupa peningkatan produksi padi dan efektivitas pengendalian hama. Hasil menunjukkan peningkatan keterampilan mitra sebesar 80% dalam menggunakan teknologi IoT, yang juga berhasil menurunkan populasi hama wereng dan belalang, berpotensi meningkatkan produksi padi secara berkelanjutan.Abstract: This article discusses the challenges faced by rice farmers in North Sumatra due to attacks by brown planthoppers and grasshoppers that significantly reduce rice yields. To overcome this problem, this community service is carried out by implementing Internet of Things (IoT) technology in the form of a rice pest control system and rice field monitoring. This technology uses IoT-based devices equipped with environmental sensors and actuators such as ultrasonic and UV LEDs to repel and capture pests, as well as mobile applications for real-time monitoring. The implementation of this technology is expected to improve the efficiency of agricultural management, optimize resource use, and reduce the environmental impact of chemical pesticide use. Initial trial results show that this system is effective in controlling pest populations, with great potential to increase sustainable rice production in Petumbukan Village and other agricultural areas in Indonesia. The Kenanga farmer group consisting of 10 people (4 men and 6 women) is a partner in this activity. They are located in Petumbukan Village, Galang District, Deli Serdang Regency. The implementation method includes presentation of materials, practice, and assistance during training. The evaluation was conducted through field monitoring and analysis of trial data, with success indicators in the form of increased rice production and effectiveness of pest control. The results showed an 80% increase in partner skills in using IoT technology, which also succeeded in reducing the population of brown planthoppers and grasshoppers, potentially increasing rice production sustainably.
Klasifikasi Suara Paru Normal Dan Abnormal Berbasis Algoritma CNN (Convolutional Neural Network) Fanny Ramadhani; Hermawan Syahputra; Rahel Lina Simanjuntak; Theresia Romauli Siagian*; Ukhti Nisa; Vina Anggraini
Jurnal Teknologi Informasi dan Terapan Vol 11 No 1 (2024)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v11i1.370

Abstract

Deteksi dini dan diagnosis penyakit paru-paru sangat penting untuk perawatan kesehatan yang efektif. Suara paru merupakan salah satu indikator utama dalam identifikasi kondisi paru-paru yang normal maupun abnormal. Penelitian ini bertujuan untuk mengembangkan model klasifikasi suara paru normal dan abnormal menggunakan algoritma Convolutional Neural Network (CNN). Model CNN yang diusulkan terdiri dari beberapa lapisan konvolusi dan pooling yang dioptimalkan untuk ekstraksi fitur dari spektrogram suara paru. Dataset dibagi menjadi data latih dan data validasi, dan visualisasi data dilakukan menggunakan Analisis Data Eksplorasi (EDA) dengan diagram lingkaran. Model dilatih melalui 20 iterasi, dengan setiap iterasi mempengaruhi kinerja model. Eksperimen pertama menggunakan dataset audio terpisah, menghasilkan nilai loss 0,2926 dan akurasi 0,8664. Evaluasi kinerja model menunjukkan skor evaluatif 89%, sehingga prediksi terbaik dan akurat telah dicapai.
IoT-Based Smart Class System Ramadhani, Fanny; Satria, Andy
Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal Vol 6, No 2 (2025)
Publisher : Al'Adzkiya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55311/aiocsit.v6i2.352

Abstract

The rapid development of Internet of Things (IoT) technology has significantly transformed various sectors, including education. This study proposes an IoT-Based Smart Class System designed to enhance the effectiveness, efficiency, and interactivity of the learning environment. The proposed system integrates IoT devices such as sensors, microcontrollers, and networked actuators to monitor and control classroom conditions, including lighting, temperature, occupancy, and learning equipment usage in real time. Data collected from these devices are transmitted to a centralized platform for processing, visualization, and decision support. The system enables automated classroom management, improves energy efficiency, and supports data-driven decision-making for educators and administrators. Experimental results and system evaluation indicate that the implementation of the IoT-based smart classroom improves learning comfort, optimizes resource utilization, and provides a scalable solution for modern educational environments. The findings demonstrate that IoT technology has strong potential to support smart education initiatives and the development of intelligent learning spaces.
Perancangan Sistem Antrian pada Wahana Hiburan dengan Metode First In First Out (FIFO) Sari, Indah Purnama; Batubara, Ismail Hanif; Ramadhani, Fanny; Wardani, Sumita
sudo Jurnal Teknik Informatika Vol. 1 No. 3 (2022): Edisi September
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (310.398 KB) | DOI: 10.56211/sudo.v1i3.93

Abstract

Kita sering menjumpai antrian di tempat-tempat yang menyediakan layanan publik, seperti restoran cepat saji, kantor pos, supermarket, taman hiburan, dan banyak lagi. Distribusi kedatangan, distribusi waktu pelayanan, fasilitas pelayanan, disiplin pelayanan, ukuran antrian, dan sumber panggilan merupakan elemen penting dari sistem antrian. Penelitian ini dilakukan untuk menentukan pelayanan yang optimal sehingga pelayanan pengunjung pada wahana hiburan menjadi lebih efektif, efesien,dan memuaskan para pengunjung yang datang ke wahana tersebut. Antrian terjadi ketika ada pelanggan yang harus menunggu untuk mendapatkan pelayanan. Suatu proses antrian adalah suatu proses yang berhubungan dengan kedatangan seorang pelanggan pada suatu fasilitas pelayanan, kemudian menunggu dalam suatu baris (antrian) jika pelayanannya sibuk dan akhirnya meninggalkan fasilitas tersebut setelah dilayani. Penelitian ini menghasilkan sistem antrian dengan metode FIFO (First In First Out) dengan menggunakan c++. Dari data ini dapat dilihat bahwa pelayanannya sangat cepat dan tingkat kedatangan pelanggan sangat lambat.
Implementation of the Greedy Algorithm for Coloring Graph Based on Four-Color Theorem Surbakti, Nurul Maulida; Ramadhani, Fanny
sudo Jurnal Teknik Informatika Vol. 1 No. 4 (2022): Edisi Desember
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/sudo.v1i4.157

Abstract

Graph theory is an advanced subject of mathematics that can be utilized to resolve issues in science. Graph coloring is one of the most well-known problems for determining the color of the map. The map that will be colored here is one of the 21 sub-districts that cover the Medan regency. In order to color the map, a graph model of the map must first be created. The use of a greedy algorithm is one technique to find a graph's minimal color. The dual graph with 21 vertices and 45 edges will be what we extract from the map. Based on the greedy method that has been used, just four colors—blue, green, red, and yellow—are found as the smallest number of colors, with each city that borders another having a distinct color. The Python computer language is used to get the map coloring results using the greedy technique.
Implementasi Sistem Pengelolaan Pesanan Menu Restoran Berbasis Stack dan Queue Agata Putri Handayani Simbolon; Khairul Fahmi Sagala; Muhammad Raffi Akbar Tanjung; Tri Sapta Warman Zai; Fanny Ramadhani
bit-Tech Vol. 7 No. 2 (2024): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i2.1867

Abstract

Di industri restoran, memiliki sistem pengelolaan pesanan yang efisien sangat penting untuk meningkatkan kualitas layanan dan kepuasan pelanggan. Namun, sebagian besar restoran masih bergantung pada metode manual yang sering kali menyebabkan masalah, seperti antrian yang tidak teratur, kesalahan pencatatan, dan kesulitan dalam melacak riwayat pesanan, terutama pada volume pelanggan yang tinggi. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem pengelolaan pesanan yang berbasis struktur data stack dan queue. Sistem ini menggunakan metode FIFO pada queue untuk memastikan pesanan diproses secara berurutan sesuai urutan kedatangan, sementara stack berfungsi untuk menyimpan dan menampilkan riwayat pesanan yang sudah selesai diproses. Pengembangan sistem dilakukan dengan pendekatan waterfall yang meliputi analisis kebutuhan, desain sistem menggunakan diagram UML, implementasi dengan Python, dan pengujian sistem untuk memastikan semua fungsionalitas bekerja dengan baik. Hasil penelitian menunjukkan bahwa sistem ini dapat mengelola alur pemesanan dengan lebih terorganisir, mempercepat proses layanan, mengurangi kesalahan, dan meningkatkan kepuasan pelanggan. Selain itu, sistem ini memungkinkan staf restoran untuk dengan mudah mengakses riwayat pesanan yang sudah diproses. Secara keseluruhan, penelitian ini menyimpulkan bahwa penerapan struktur data stack dan queue menawarkan solusi yang efektif dan efisien dalam pengelolaan pesanan restoran. Penelitian lanjutan dapat fokus pada integrasi sistem dengan database eksternal untuk meningkatkan skalabilitas dan mendukung operasi restoran dengan lebih banyak pelanggan.
Spatial Clustering Analysis of Stunting in North Sumatra Based on Environmental Factors Using K-Means Algorithm Fanny Ramadhani; Dian Septiana; Sisti Nadia Amalia; Putri Maulidina Fadilah; Andy Satria
Data Science: Journal of Computing and Applied Informatics Vol. 9 No. 2 (2025): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jocai.v9.i2-17179

Abstract

This research aims to analyze the spatial grouping of stunting events in North Sumatra based on environmental factors using the K-Means algorithm. The data used in this research includes the incidence of stunting, environmental factors (such as access to health services, living environment conditions, water use and sanitation), and spatial data (geographical coordinates). The data comes from Basic Health Research (RISKESDAS 2018, then processed and normalized. The elbow method and silhouette analysis are used to determine the optimal number of clusters, resulting in four different clusters. The application of the K-Means algorithm produces the following cluster characteristics: Cluster 1, with good environmental conditions and access to health services, shows low levels of stunting; Cluster 2, with moderate environmental conditions, shows moderate levels of stunting; Cluster 3, which is characterized by poor living conditions and limited access to health services, has levels high stunting; and Cluster 4, with varied environmental conditions but very limited access to health and sanitation services, also shows a high stunting rate. Validation using the Silhouette Coefficient produces an average score of 0.65 which indicates good clustering quality shows that environmental factors, access to health services, and sanitation conditions have a significant impact on the incidence of stunting. Based on these findings, policy and intervention recommendations are focused on Clusters 3 and 4, which have high stunting rates. The interventions carried out include increasing access and quality of nutrition, health services, sanitation conditions, economic empowerment, and health education.
Multivariate Analysis of Regional Economic Resilience Capacity Using PCA, Gaussian Mixture Model, and Random Forest Dian Septiana; Fanny Ramadhani; Sisti Nadia Amalia; Fahmi Ashari S. Sihaloho
Journal of Mathematics, Computations and Statistics Vol. 9 No. 2 (2026): Volume 09 Issue 02 (June 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/qbm5kx46

Abstract

Economic resilience capacity has become an important issue in regional development because socio-economic disparities influence the ability of regions to adapt to structural pressures and external disturbances. However, measuring regional resilience capacity remains challenging due to the multidimensional and interrelated nature of socio-economic indicators. This study analyses regional economic resilience capacity in North Sumatra using an integrated multivariate statistical and machine learning framework combining Principal Component Analysis (PCA), Gaussian Mixture Model (GMM), and Random Forest. PCA was employed to construct a composite Economic Resilience Capacity Index (ERCI) from socio-economic indicators, while GMM clustering was applied to identify regional typologies within the reduced dimensional space. The initial clustering estimation identified North Nias as an extreme singleton cluster, indicating the presence of an outlier observation. After excluding the outlier, the final GMM model selected a four-cluster spherical covariance structure based on the Bayesian Information Criterion (BIC). A comparison with K-means clustering produced different optimal grouping structures, indicating sensitivity to clustering assumptions and the complexity of regional socio-economic patterns. The first two principal components explained approximately 72% of the total variance, indicating adequate representation of the dominant socio-economic structure. The geographical distribution of clusters reveals substantial regional heterogeneity, where regions in the Nias area are concentrated within the low resilience capacity cluster, while urban and economically integrated regions form distinct growth-oriented clusters. Random Forest analysis indicates that unemployment and poverty related indicators are the most influential variables in distinguishing regional resilience typologies. Furthermore, the comparison between ERCI and GMM results shows that regions with relatively similar index values may still belong to different clusters, indicating that regional resilience patterns do not necessarily follow a single linear socio-economic structure. These findings suggest that regional economic resilience capacity in North Sumatra is shaped by multidimensional structural disparities rather than by a single composite index alone.
Co-Authors Abadi Simanullang, Paskah Ade Amelia, Tasya Ade Setiawan Adhi Guna, Ekin Advis Ambrosius Sitohang, Yuda Afiati Nasution, Nadrah Africano, Fernando Afrrahman S. Effendi, Ali Agata Putri Handayani Simbolon Agung Wijaya, Agung Agus Waruwu, Stefen Ahmad Rahmatika Al Hamidy Al Kautsar, Muhammad Zidane Al Khowarizmi Alby Savana HSB, Muhammad Alfin, Muhammad Amalia, Sisti Nadia Amanah, Fadilla Ambarwati, Nilasari Eka Amelia Br Siregar, Ririn Amelia Vega S. Meliala, Ruth Ananda Hafika, Rizky Ananta, Willy Pramudia Andika Maulana, Sandy Andy Satria Andy Satria Apandi, Khairul Aprilia, Adinda Putri Arnita Arnita Arnita Arnita Asri Angel Tumanggor Asro Harahap, Fatimah Audy Priscilia, Selfi Audy Priscillia, Selfi Aulia, Windy Ayu Sekar Ayu Syahfitri Ayu, Silvana Oyasi Azima Lubis, Fauzan Azmi Lubis, Fauzan Baehaqi br.Hutagalung, Fhadillah Budi Akbar, Muhammad Bush Henrydunan, John Daulay, Parhan Dechy Deswita Indriani.S Dedy Kiswanto Defiyanti, Aqilah Diah Retno Wahyuningrum Dian Damayanti Dian Septiana Dicky Apdilah Dimas Fadhlurohhman Dimas Prayoga Dina Aulia Djasmayena, Selvia Dly, Revidamurti Dobry Sianipar, Freyro Drilanang, Mhd Ilyasyah Dwi Zahra Putri, Raisya Elya Juni Arta Sinaga Elza Ahmad Erlangga, Farizi Evanthe, Hansel Evelyn Keisha Silalahi Fadilah, Putri Maulidina Fahmi Ashari S. Sihaloho Fahmi Sagala, Khairul Farezi, Nazwar Fatma Hutagalung Fatma Sari Hutagalung Fauzan, M Rosyid Fauzan, Rosyid Fayadhilah, Muhammad Apta Fhadillah, Fhadillah Fitra, Muhammad Rizki Andrian Fransiska Sihombing, Esra G. Gunawan Giovanni, Teuku Muhammad Grace Oktavia Hafiz, Alfin Haikal Al Majid, Muhammad Hapzi Ali Harahap, Fatimah Asro Hasan, Afrizal Hermawan Syahputra Hermawan Syahputra Hermawan Syahputra Hidayat, Muhammad Ferdiansyah Hidayatul Arifin, Muhammad Husna Batubara, Shabrina Hutagalung, Fatma Sari Ichwanul Muslim Karo Karo Impana Manik, Kristin Indah Purnama Sari Indriani.S, Dechy Deswita Insan Pratama Siagian, Raihan Irya Shakila Syukron, Ananda Islamia, Aulia Ismail Hanif Batubara Iwan Agi Berutu Jailani Arsad John Pardamean Hutabarat, Felix Juliana Silalahi, Feby Khairul Fahmi Sagala Khildan Rifail Azis Khoiriah, Najwatul Latifah Hasibuan, Najwa Listia, Hijka Lubis, Muhammad Ghafur Rahman Lutfi Basit M. Fahri Fahroza Manurung, Asrar Aspia Mardiana Mardiana Maulana, Raihan Maulida Surbakti, Nurul Mei Lammi Malau Mhd. Basri Mufit, Muhammad Ilham Muhammad Habib Muhammad Naufal Musyafa Muhammad Raffi Akbar Tanjung Muhammad Ridho Muhammad Ridho Muhammad Rizki Alfahri Muhammad Zidane Alkautsar Muslim Sinaga, Rizal Nadia Amalia, Sisti Nadrah Afiati Nasution Najwa Latifa Hasibuan Najwatul Khoiriah Nasution, Nadrah Afiati Nico Pasaribu, Michael Nst, M. Fahri Fahroza Nurul Maulida Surbakti Nurul Sasti Diningsih Oktavia, Grace Oktaviani, Nadya Sisil Oris Krianto Sulaiman Pahlawan, Riza Pebiana Putri, Fahra Permata Putri Pasaribu, Yohanna Pipit Putri Hariani MD Prana Walidin, Adamsyach Pratama, Ega Prihatin Ningsih Sagala Putra Paskah Halawa, Sovantri Putra, Samuel Anaya Putri Harliana Putri Maulidina Fadilah Putri Sartika Putri Tasya Agustina Raffi Akbar, Muhammad Rahel Lina Simanjuntak Rahma, Aulya Raihan Insan Pratama Siagan Ramadhan Manik, Albert Ramadhani, Sigi Pegi Ramadhani, Umaya Rangga Mahara Miko Ravindra Singh Richi, Alfina Rizki Andrian Fitra, Muhammad Rizki, Widya Selia Rushainy, Siti Raisha Sadion Tumpal Damanik Said . Iskandar Salamah Salamah salamah salamah Salsabila Zahra, Salsabila Sapta Warman Zai, Tri Siagian, Angel Agasari Siallagan, Sanri Yuliana Sinaga, Elya Juni Arta Sisti Nadia Amalia Sisti Nadia Amalia siti wulandari Sitompul, Dicky Sambora Sitorus, Rizki Risdah Situngkir, Silvia Wulandari Sri Dewi Sri Dewi Sri Dewi Steviana Viviola Wicesti Nasution Sumita Wardani Surianto, Stacyana Jesika Susanto, Raoul Syahri, Alfin Theresia Romauli Siagian* Todo Simanjuntak Tri Sapta Warman Zai Trimuliani, Diva Tymoty Hutabarat, Peter Ukhti Nisa Vina Anggraini Wahyu Pratama, Rangga Wahyudi, Rizky Wardaniah, Sabina Warjaya, Angga Yazid Noor, Muhammad Zaki Zain Zulfahrizan, Atta