Article Per Year (5 Year)
p-Index From 2021 - 2026
15.224
P-Index
This Author published in this journals
All Journal Techno.Com: Jurnal Teknologi Informasi JURNAL PENGABDIAN KEPADA MASYARAKAT Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING MODELING: Jurnal Program Studi PGMI IT JOURNAL RESEARCH AND DEVELOPMENT PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Teknik Informatika UNIKA Santo Thomas INTECOMS: Journal of Information Technology and Computer Science Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) AXIOM : Jurnal Pendidikan dan Matematika Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Kurawal - Jurnal Teknologi, Informasi dan Industri Jurnal Riset Informatika AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Review Pendidikan dan Pengajaran (JRPP) Progresif: Jurnal Ilmiah Komputer Jurnal Informatika dan Rekayasa Elektronik JSR : Jaringan Sistem Informasi Robotik Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Teknik Informatika C.I.T. Medicom G-Tech : Jurnal Teknologi Terapan Science Midwifery JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) INFOKUM Community Development Journal: Jurnal Pengabdian Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA U-NET Jurnal Teknik Informatika Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing JiTEKH (Jurnal Ilmiah Teknologi Harapan) IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Journal La Multiapp Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains Jurnal Mandiri IT Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Armada Informatika Journal of Information Systems and Technology Research Jurnal Sains dan Teknologi JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Innovative: Journal Of Social Science Research JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Jurnal Komputer Antartika Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Pengabdian Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Ilmiah Nusantara Modem : Jurnal Informatika dan Sains Teknologi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Teknologi : Jurnal Ilmiah Sistem Informasi Algebra : Jurnal Pendidikan Sosial dan Sains
Abdul Halim Hasugian
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 146 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 146 Documents
Search

 11   12   13   14   15 
Analysis Of Public Sentiment Towards Naturalized Players In The Indonesian National Team Using The Naïve Bayes Method T. Raihan Yudisthira; Abdul Halim Hasugian
Jurnal Riset Informatika Vol. 7 No. 4 (2025): September 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v7i4.398

Abstract

The increasing number of naturalized Indonesian national team players in the Garuda squad has triggered various reactions and opinions among the public, both pro and con. This study aims to identify and classify these sentiments, whether positive, negative, or neutral. The method used in this study is to use Naive Bayes because of its excellent ability to classify text based on the probability of word occurrence. In order to obtain more accurate results, several preprocessing stages need to be carried out through several steps, namely cleaning, case folding, normalization, stopword removal, tokenizing, and stemming on the data to be processed for maximum results from each stage. The results of the study showed that the majority of public sentiment tends to be more neutral towards the contribution of naturalized Indonesian national team players. To determine the percentage of results from the specified classification, a Confusion Matrix will be used. The results of the classification process using the Naive Bayes method produce data into 3 types, namely 33 positive classes, 357 neutral classes, and 13 negative classes with an accuracy value of 89%, precision 63%, recall 34%, and f1-score 33%. This sentiment analysis provides an overview of public comments regarding the presence of naturalized Indonesian national team players regarding public acceptance of the naturalization policy and can be input for PSSI in making decisions regarding the development of the national team in the future in order to improve the quality of the national team in the future
Data Mining of Rural Digital Technology Adoption Factors Using Apriori Algorithm Wanda Windary; Abdul Halim Hasugian
Journal of Information Systems and Technology Research Vol. 4 No. 3 (2025): September 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i3.1324

Abstract

Digital technology adoption in rural communities remains a major challenge due to limited infrastructure, weak internet connectivity, and low levels of digital literacy, which contribute to persistent gaps in digital inclusion. This study aims to analyze the socio-economic factors that influence technology adoption in Kuta Baru Village by applying data mining techniques with the Apriori algorithm within the Knowledge Discovery in Database (KDD) framework. A survey was conducted on 50 respondents selected using purposive sampling, and variables such as education, income, occupation, and internet access were encoded into binary items for analysis. The Apriori algorithm was executed with a minimum support threshold of 15% and a minimum confidence threshold of 60% to extract association rules. Results show that the strongest rule was “Low Internet Access ⇒ Weak Signal” with 100% confidence and 30% support, highlighting infrastructure as the most critical barrier. Another key finding revealed that respondents with education levels above high school had an 85% confidence of using the internet, while those with monthly incomes greater than IDR 3 million demonstrated a 78% confidence of adopting digital technologies. Furthermore, formal sector occupations were associated with consistent internet usage at 72% confidence. These findings suggest that improving infrastructure must be complemented by strengthening socio-economic conditions, particularly education and income, to accelerate rural digital transformation. The study provides empirical evidence and practical implications that can inform policymakers in designing targeted programs to bridge the rural digital divide.
Web-Based Decision Support System for Superior Corn Seed Selection Using FMADM and AHP Algorithms Donny Dwi Putra; Abdul Halim Hasugian
Journal of Information Systems and Technology Research Vol. 4 No. 3 (2025): September 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i3.1331

Abstract

Indonesia as an agricultural country still faces challenges in meeting national corn demand due to dependency on imports. One critical issue is the inaccurate selection of superior seeds that suit local conditions. This study aims to develop a web-based decision support system (DSS) for superior corn seed selection using the Fuzzy Multi-Attribute Decision Making (FMADM) algorithm combined with the Analytical Hierarchy Process (AHP) method.The research was conducted in Sei Tembo Village, Langkat Regency, with data obtained through observation, interviews with farmers, and literature review. The AHP method was applied to determine the weights of five criteria: water content, pest resistance, productivity, fruit size, and harvest time. Consistency testing produced a CR value of 0.028, indicating reliable weighting. The FMADM method was then used to rank 142 seed alternatives based on these weights.The results showed that the proposed system successfully ranked Srikandi Putih 1 (A32) as the best alternative with a score of 0.950, while Bima5 Bantimurung (A130) had the lowest score of 0.632. Productivity was identified as the dominant factor (weight = 0.484) in determining superior seeds.These findings demonstrate that the web-based DSS can improve accuracy and objectivity in seed selection, helping farmers reduce trial-and-error decisions. Practically, this system supports agricultural productivity improvement and contributes to strengthening national food security by reducing reliance on corn imports.
PENGELOMPOKAN HARGA SEPEDA MOTOR BEKAS BERDASARKAN TAHUN PRODUKSI DAN KAPASITAS MESIN MENGGUNAKAN ALGORITMA K-MEANS Bagus Januar; Abdul Halim Hasugian
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 07 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i07.2276

Abstract

Pengelompokan harga sepeda motor bekas menjadi hal penting dalam membantu konsumen maupun penjual dalam menentukan nilai pasar yang wajar. Riset ini memiliki akhir untuk mengelompokkan harga motor second berdasarkan tahun produksi dan kapasitas mesin memakai algoritma K-Means. Adapun data yang dipakai berupa dataset motor second yang mencakup variabel tahun produksi, kapasitas mesin (cc), dan harga. Metode yang digunakan meliputi tahap pengumpulan data, preprocessing, penetapan nilai cluster memakai metode Elbow, serta penerapan algoritma K-Means untuk proses pengelompokan. Hasil Riset mengemukakan bahwa data mampu dibagi ke dalam beberapa klaster yang merepresentasikan kategori harga tertentu, seperti rendah, sedang, dan tinggi. Pengelompokan ini memberikan gambaran pola harga berdasarkan karakteristik kendaraan, sehingga mampu membantu untuk pengambilan keputusan baik bagi pembeli maupun penjual.
ENKRIPSI PESAN CHAT MENGGUNAKAN ALGORITMA CHACHA20 PADA APLIKASI KOMUNIKASI REAL-TIME Dandi Darmansyah; Abdul Halim Hasugian
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6220

Abstract

The advancement of communication technology has now become a crucial component in supporting the flow of information in society. With the increasing use of real-time applications, understanding the security of messages transmitted over the internet is essential to protect them from eavesdropping and data theft. The application of encryption is an initial step to enhance the security of digital communication. This study aims to implement the ChaCha20 algorithm to encrypt text messages in a communication application based on Android using the Flutter framework and Firebase backend service. Test results indicate a significant performance difference compared to the AES-CBC algorithm, where ChaCha20 offers faster encryption and decryption times as well as higher throughput. Based on these findings, the use of ChaCha20 is recommended for applications requiring high-speed and efficient data exchange. The impact of this research is expected to raise awareness and understanding of the importance of selecting the right cryptographic algorithm in building secure communication systems. Furthermore, this research is anticipated to contribute meaningfully to the development of robust communication applications against growing cybersecurity threats, especially on mobile devices.
PENERAPAN SUPPORT VECTOR MACHINE UNTUK ANALISIS SENTIMEN PADA TANGGAPAN MASYARAKAT DI MEDIA SOSIAL TERHADAP PROGRAM MAKAN SIANG GRATIS : APPLICATION OF SUPPORT VECTOR MACHINE FOR SENTIMENT ANALYSIS ON PUBLIC RESPONSE TOWARDS FREE LUNCH PROGRAM Mutiara Sintia Dewi; Abdul Halim Hasugian
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6425

Abstract

The Free Nutritious Lunch Program initiated by the government has become a public spotlight, as it is considered a strategic effort to address the issues of malnutrition and stunting in Indonesia. This study aims to analyze public sentiment toward the program using a technology-based approach. The method used is the Support Vector Machine (SVM) algorithm with the Term Frequency-Inverse Document Frequency (TF-IDF) approach to classify public opinions on social media. This study utilized 1,000 tweets collected from the Twitter platform and processed using Google Colaboratory. SVM was chosen because it can handle high-dimensional data and has proven effective for text classification in various previous studies. The analysis results show that the majority of public sentiment is positive. The SVM model achieved an accuracy of 67%, with a precision of 98%, recall of 99%, and F1-score of 98%, demonstrating its effectiveness in classifying textual data. These findings indicate that sentiment analysis using machine learning approaches can serve as an important tool in evaluating public perception of government policies.
COMPARATIVE ANALYSIS OF TWOFISH AND BLOWFISH ALGORITHMS IN SECURING CSV (COMMA SEPARATED VALUES) DATA Rizki Ali Akbar Pasaribu; Abdul Halim Hasugian; Aidil Halim Lubis
Algebra : Jurnal Pendidikan, Sosial dan Sains Vol. 6 No. 2 (2026): Algebra : Jurnal Pendidikan Sosial dan Sains
Publisher : Yayasan Amanah Nur Aman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58432/ke6mvq09

Abstract

Data security is a crucial aspect in the digital era, especially for the CSV (Comma Separated Values) data format, which is frequently used for data storage and exchange. This study aims to analyze and compare the performance of the Twofish and Blowfish cryptographic algorithms in securing CSV data. The analysis is based on three main parameters: encryption time, decryption time, algorithm security level, and changes to the encrypted or decrypted files. The Twofish algorithm is known for its Feistel structure and its flexibility with key sizes up to 256 bits, while Blowfish uses a variable key size up to 448 bits with a simple Feistel structure. The results show that Blowfish has higher encryption and decryption speeds than Twofish, with an average speed of around 275.85 ms for Blowfish and 655.672 ms for Twofish. However, Twofish excels in security. This study is expected to serve as a reference in selecting the right algorithm for securing CSV data based on specific user needs, both in terms of speed and security.
Implementasi Algoritma Vigenere Cipher Untuk Keamanan Data Bantuan Sosial Di Desa Pazri Pazri; Abdul Halim Hasugian
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.544

Abstract

Data security in the digital era is very important. Village governments often manage sensitive data related to social assistance, such as recipient names, ID numbers, types of assistance, and other details. This data is very vulnerable to leaks or misuse, especially if there is no strong security system in place. This highlights the importance of implementing technology that supports data security. By implementing cryptographic algorithms such as the Vigenere Cipher, the village government can protect its community's data from potential threats. This algorithm uses a flexible secret key, making it ideal for securing small to medium-scale data, such as social assistance data. The Vigenere Cipher algorithm is applied to secure social assistance data in Lawe Sempilang Village, such as recipient names, ID numbers, and the types of assistance provided. This research aims to develop an application for the Implementation of the Vigenere Cipher Algorithm for Social Assistance Data Security in Lawe Sempilang Village. This application is designed to enhance the security of social assistance data by encrypting the data so that it can only be accessed by authorized parties, thereby preventing data leaks or misuse of information. The research method used is the Research and Development (R&D) method. This research successfully implemented the Vigenere Cipher algorithm in the data management system for social assistance recipients in Lawe Sempilang Village. With the presence of encryption, sensitive information such as Name, NIK, Phone Number, Email, Address, Dependents, and Income remains secure throughout the application process until approval by the Admin Department. The developed system is capable of maintaining data confidentiality and enhancing security in the distribution of social assistance. The results also show that the Vigenere Cipher algorithm succeeded in carrying out the encryption and decryption process correctly, so that only authorized parties can access the information in its original form.
STRATEGI PENGUATAN MODERASI BERAGAMA MELALUI KEGIATAN FESTIVAL ANAK SHOLEH DI KELURAHAN SIPANGE Abdul Halim Hasugian; Elvida Futri Mahara; Sintiawati Kusuma; Fakhrurrozi Nst; Rina Anggraini
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 5 No. 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.5197

Abstract

Abstract: Strategy of strengthening religious moderation through the implementation of the Festival Anak Sholeh. The festival, designed as an Islamic educational activity, aims to instill values of tolerance, respect, and togetherness among young learners and the wider community. It provides a platform for children to participate in Islamic competitions such as daily prayer recitation and short surah memorization, thereby combining religious education with character building.            Keywords: Religious moderation, Festival Anak Sholeh, strategy, Islamic education.  Abstrak: Penguatan moderasi beragama melalui pelaksanaan Festival Anak Sholeh. Festival ini, yang dirancang sebagai kegiatan pendidikan Islami, bertujuan untuk menanamkan nilai toleransi, saling menghargai, dan kebersamaan di kalangan anak-anak maupun masyarakat luas. Kegiatan ini menjadi wadah bagi anak-anak untuk mengikuti perlombaan Islami, seperti membaca doa-doa harian dan menghafal surah pendek, sehingga mampu mengintegrasikan pendidikan agama dengan pembentukan karakter. Kata Kunci: Moderasi beragama, Festival Anak Sholeh, strategi, pendidikan Islam. 
Klasifikasi Teks Komentar Penggunaan Listrik Gratis di Youtube Menggunakan Metode Naïve Bayes Mikho Alfatih Harahap; Abdul Halim Hasugian
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9731

Abstract

The growth of social media has made YouTube one of the platforms used by the public to express opinions regarding government policies, including the free electricity program. The large number of comments makes manual analysis difficult; therefore, a text classification method is needed to automatically categorize comments. This study aims to classify YouTube user comments related to the free electricity program using the Naïve Bayes algorithm. The research data were obtained through a crawling process from ten YouTube videos discussing the free electricity policy, resulting in 910 comments, which were reduced to 906 comments after data cleaning. The data processing stages included cleaning, case folding, tokenizing, normalization, stopword removal, stemming, and term weighting using TF-IDF. Furthermore, the data were classified into four categories: Public Discussion and Information, Policy Support and Appreciation, Complaints and Technical Issues, and Non-Electricity. Model evaluation was conducted using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The results showed that the Naïve Bayes algorithm provided fairly good classification performance with an accuracy of 70.9%, precision of 0.62, recall of 0.80, and F1-score of 0.70. The Non-Electricity category achieved the best performance with precision of 0.77, recall of 0.90, and F1-score of 0.83. Based on these findings, the Naïve Bayes method is considered effective for classifying public opinion from social media comment data.
Co-Authors Abdillah, Ibnu Faiz Adam Damiri Manurung Adi Hartono Aditya Maulana Azanzi Girsang Afandi Sahputra Afiksih, Mufliha Afriani, Dina Aidil Halim Lubis Aidil Halim Lubis Ajeng Dwi Pratiwi Alfarizi, Muhammad Alhabib, Muhammad Farhan Ali Darta Ali Ikhwan Alwy Azyari Harahap Amalia Daulay, Rizki Amelia Anggraini, Arizka Anggraini, Sindi Annisa Shafira Zuhri Apriani, Puja Arif, Mhd. Fakhrozi Armansyah Armansyah Armansyah Armansyah Armansyah Aruan, Nur Jamilah Asrul Suwondo AULIA, RIZKA Auliani, Wirna Rizka Azhar, Joehari Azhari, Wahyu Bagus Januar Bandaharo, Bandaharo Bermiko Kasah Padang Bunga Nurul Manisa Dalimunthe, Ayu Sahriani Dandi Darmansyah Dea Amallia Deni Fahrizal Dewi Afrianti Dharma, Fahri Dinda Zukhoiriyah Donny Dwi Putra Eferoni Ndururu Elsa Azila Rahman Elvida Futri Mahara Fahmi Fakhriza, M. Fakhrurrozi Nst Farah Zaida Gema Ramadhan Gilang Armawan Saka Ginting, Masitha Putri Ardhana Girsang, Aditya Maulana Azanzi Gunawan, Gunawan Hanny Puput Eliyarista Saragih Harahap, Muhammad Fitrah Affandi Harahap, Nasywa Al Afif Hasibuan, Ardina Khoirunnisa Hendra Cipta Heni Pujiastuti Heri Santoso Heri Santoso Heri Santoso HERI SUSANTO Hidayah, Adinda Fita Hidayati, Risma Hsb, Munawir Siddik Ibnu Faiz Abdillah Ibnu Rusydi Ikhsan, Muhammad Ilham Ilham Ilka Zufria Imam Zaki Husein Nst Irawan, Muhammad Arief Irene Sri Morina Januar, Bagus K Khairunnisa Khaidir Hanafi Khairuna Khairuna Khairunnisa, K Kusuma, Sintiawati Lubis, Akbar Maulana Lubis, Desy Ramadhani Lubis, Indah Alfitri M Mahyudi M. Fakhriza M. Khalil Gibran M. RIZKY RAMADHAN M.Alif Fahrezy Mahara, Elvida Futri Maimunah Rahmadani Marpaung, Rizq Alwi Marwah, Khoirul Wijak Alfaizh Maulida, Dzikra Maya Khairani Mhd Furqan Mhd Ikhsan Rifki Mhd Rafly Syah Pahlevi Miftahul Jannah Mikho Alfatih Harahap Muhammad Ezar Raditya Muhammad Ikhsan Muhammad Ikhsan Muhammad Ridzki Hasibuan Muhammad Sayuthi Muhammad Siddik Hasibuan Muhammad Suhery Muhammad Syahuda Hasibuan Mulya Alfan Simatupang Murdani Mutiara Sintia Dewi Nadyah Almirah Simanjuntak Nasution, Yurika Nst, Fakhrurrozi Nurmaiyah Nurmaiyah Ong, Russell Pazri Pazri Prasetio, Muhammad Aditya Prayoga, M. Irsan Pristiwanto, Pristiwanto Putri Hanifah Putri, Cindy Ananda Putri, Pebriani Rahadian Fatta Batubara Rahmad Prayogi Harahap Rahmawati Rahmawati Raissa Amanda Putri Rajani, Attila Rakhmat Kurniawan R Ramadhani, Muthia Ramadhani, Silvia Rano, Rano Irawan Reza Muhammad Rijal, Mhd. Nanda Khairul Rina Anggraini Rina Anggraini, Rina Rina Widyasari Rino Ariansyah Rizki Ali Akbar Pasaribu Rizki Amalia Rizky Pratama Putra Rizky Ramadhan Rizqi Hidayat Tanjung RR. Ella Evrita Hestiandari Ryo Vikri Alif S, Amri Yuda Sabuki, Robi Saefuddin, Anan Saka, Gilang Armawan Sela, Dhea Shania Oktawijaya Sheila Safira Siahaan, Ahmad Taufik Al Afkari Simanjuntak, Salmah Simatupang, Aidil Akbar Sintiawati Kusuma Siregar, Muhammad Faisal Siregar, Nora Arianti Siti Hayatul Fauziah Ritonga Siti Juhroini Ritonga Siti Nurhaliza Sofyan Siti Sumita Harahap Sitorus, Ridha Saryani Situmorang, Rantouli Solifiah Batubara, Febi Sri Wulan, Sri Sriani Sriani Sriani Sriani, S Suandi Padang Suendri Suendri, Suendri Suhardi Suhardi Suhardi, Suhardi Sulindawaty Syahrina Indah Harahap T. Raihan Yudisthira TONNI LIMBONG Tria Elisa Ulfah, Auliana Wahyudi, Zul Attoriq Farhan Wanda Windary Wina Fadia Ardianti Yani, Sri Suci Yazid Hulaini Habbani Nasution Yusuf Karim Rambe Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zaidan, Muhammad Zidanul Akbar Ziqra Addilah