Article Per Year (5 Year)
p-Index From 2021 - 2026
18.242
P-Index
This Author published in this journals
All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) JURNAL PENGABDIAN KEPADA MASYARAKAT Sinkron : Jurnal dan Penelitian Teknik Informatika Tech-E RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Nizhamiyah JurTI (JURNAL TEKNOLOGI INFORMASI) Query : Jurnal Sistem Informasi Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) Jurnal Teknologi Sistem Informasi dan Aplikasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Journal on Education JOURNAL OF SCIENCE AND SOCIAL RESEARCH Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Kridatama Sains dan Teknologi Progresif: Jurnal Ilmiah Komputer Jurnal Ilmu Komputer dan Bisnis Aisyah Journal of Informatics and Electrical Engineering Jatilima : Jurnal Multimedia Dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH JINAV: Journal of Information and Visualization Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Responsif : Riset Sains dan Informatika Syntax: Journal of Software Engineering, Computer Science and Information Technology Journal La Multiapp Jurnal Abdi Mas Adzkia Fitrah: Journal of Islamic Education KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Information Technology (JIfoTech) Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Dinda : Data Science, Information Technology, and Data Analytics International Journal Software Engineering and Computer Science (IJSECS) Journal of Computer Science and Informatics Engineering Al-Khidmah Jurnal Pengabdian Masyarakat sudo Jurnal Teknik Informatika Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Nasional Teknologi Komputer NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Journal of Computers and Digital Business SWARNA Sewagati: Jurnal Pengabdian Masyarakat Indonesia DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Information Technology Education Journal JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI (JISI) Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science Cosmic Jurnal Teknik Journal of Digital Technology and Computer Science
Ilka Zufria
Universitas Islam Negeri Sumatera Utara
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 Social Sciences Veterinary Other

Published : 157 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 157 Documents
Search

 9   10   11   12   13 
SISTEM PENDUKUNG KEPUTUSAN PENILAIAN BUS TERBAIK DENGAN MENGGUNAKAN METODE AHP DAN METODE TOPSIS Daulay, Darisma; Zufria, Ilka; Suhardi, Suhardi
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 15 No. 2 (2024): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i2.867

Abstract

Penilaian merupakan suatu proses yang dilakukan untuk memperoleh informasi yang diperlukan dalam mengambil keputusan tertentu. Namun, masyarakat sering mengalami kesulitan dalam memilih bus. Tujuan dari penelitian ini adalah untuk mengatasi masalah tersebut dengan menggunakan sistem pendukung keputusan yang menggabungkan metode AHP dan TOPSIS. Pendekatan ini telah terbukti meningkatkan p terhadap bus. Sistem pendukung keputusan berbasis web ini bertujuan untuk membantu masyarakat dalam memilih moda transportasi sesuai dengan kebutuhan mereka. Hasil penelitian menunjukkan bahwa penilaian terhadap bus merupakan masalah utama, dengan tingkat kejadian tertinggi mencapai 0,7494 yang memilki nilai oleh bus PT. NPM Medan. Pada penelitian ini memiliki 4 kriteria yaitu waktu perjalanan, keamanan, biaya/harga dan kemudahan. Penelitian ini memiliki 12 alternatif yaitu bus CV. Kota Pinang Baru, PT. Barumun, CV. Batang Pane Baru, PO. Medan Jaya, PT. Sentosa Intra, PT. Chandra, Bilah Pane Putra, Putra Melayu, PT. Rapi, PT. NPM Medan, Eldivo dan PT. ALS (Antar Lintas Sumatera). Diharapkan penelitian ini dapat memberikan kontribusi yang signifikan bagi masyarakat dalam memilih moda transportasi yang tepat serta memberikan informasi yang berharga bagi lembaga Terminal Amplas Medan.
The Application of the FMADM Electre Algorithm in Diagnosing the Level of Drug Addiction in Adolescents Muchain, Alfira Nafhan; Zufria, Ilka; Fakhriza, M.
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5151

Abstract

Drug abuse among adolescents was difficult to identify early without official examinations, while manual methods were often inaccurate. The process of determining rehabilitation also faced challenges due to the lack of technology-based support systems capable of effectively analyzing the level of addiction and type of drug used, resulting in rehabilitation that was often not well-targeted. To address this issue, the algorithm was utilized to diagnose drug addiction in adolescents by providing scores or rankings indicating addiction levels: scores of 1 and 2 represented mild addiction, 3 and 4 indicated moderate addiction, and 5 or higher represented severe addiction. The FMADM-ELECTRE algorithm recommended various types of rehabilitation actions for recovery. It offered precise evaluation ranges and scores, simplifying the classification and determination of appropriate detoxification measures for each type of drug-addicted adolescent. This system classified three levels of drug addiction among adolescents, corresponding to three stages of rehabilitation for drug addicts: non-medical (social) rehabilitation, medical rehabilitation (detoxification), and aftercare (post-rehabilitation). Additionally, the web-based support system was designed to be accessible across various devices, including laptops, computers, tablets, and smartphones, facilitating quicker and more efficient decision-making for relevant institutions. This approach also integrated multi-criteria methods to ensure fairness and accuracy in analysis, supporting a comprehensive rehabilitation process.
Diving Into Public Sentiments: SVM-Based Analysis of Water Service Opinions Hasugian, Aldi Ridwansyah; Zufria, Ilka
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5231

Abstract

Customer satisfaction is a crucial measure of a company's success, particularly for service-oriented businesses such as regional water utilities. In the case of PDAM Tirta Nauli Sibolga, key service aspects including pricing, water quality, water flow, and responsiveness to customer complaints significantly influence customer satisfaction. Despite ongoing efforts to provide quality services, challenges in areas such as water quality, quantity, and customer communication persist, leading to lower satisfaction levels among consumers. This study seeks to evaluate the implementation of regional regulations related to company management and clean water services, with a focus on improving service quality. Additionally, it applies the Support Vector Machine (SVM) algorithm to perform sentiment analysis of public opinions regarding the company's services. The analysis yielded an impressive accuracy of 98%, with precision, recall, and F1-score values consistently above 90%, indicating a high level of effectiveness in sentiment classification. By leveraging the results of this sentiment analysis, PDAM Tirta Nauli can gain valuable insights into the issues facing the community and implement targeted improvements. Ultimately, this research aims to provide a comprehensive evaluation of customer satisfaction and offer actionable recommendations to enhance service quality, ensuring better customer experiences and supporting the overall development of the region.
IMPLEMENTATION OF DATA ENCRYPTION STANDARD (DES) ALGORITHM FOR DATA SECURITY ON PDF DOCUMENTS Panjaitan, Arif Wijaya; Zufria, Ilka; Nasution, Yusuf Ramadhan
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i2.17365

Abstract

Misuse and theft of confidential PDF documents because documents can still be recognized and read by humans means, of course, these problems can harm those who have access to PDF document data. The act of tapping and stealing PDF documents can be minimized by the application of cryptographic encryption techniques. Cryptography is a science that studies mathematical techniques related to information security aspects such as confidentiality, data integrity and authentication. Cryptography requires an algorithm to perform the encryption process, one of the cryptographic algorithms that can be used is the Standard Data Encryption (DES) algorithm. The DES algorithm is a symmetric algorithm that works on the principle of a block cipher. The DES algorithm uses a 64-bit key to encrypt a 64-bit block. This thesis discusses the design of web-based cryptography using the Data Encryption Standard (DES) method.The application of this system is hiding pdf files using an 8-bit key without any errors or file damage and cannot be decrypted without the appropriate key. By using a data security application system using the DES method, it is useful to help hide the contents of important pdf files with a key so as to minimize digital theft by irresponsible parties.
Penerapan Metode Analytical Hierarchy Process(AHP) dan Promethee II dalam Rekomendasi Kelayakan Calon Pengurus Himpunan Mahasiswa Jurusan Syafrida, Desy; Zufria, Ilka
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.37964

Abstract

Student organizations are an interpretation of organizations that accommodate students in carrying out and developing their roles. The benefits of organizations for students include as a forum for honing soft skills, fostering a sense of concern for the social environment, and increasing student selling points as provisions to support the future. One of the student organizations at the university is the Department of Student Association. The problem that often occurs in major student associations is selecting potential new members who determine the success of the association in the future. So a decision is needed in selecting the existing criteria as the best prospective member who will be selected as a new member or who has high loyalty to the student association of one's own department. However, during the selection process for selecting the best member candidates, the department's student association experienced difficulties because there were so many candidates to be selected. The author conducted research and combined two methods, namely Analytical Hierarchy Process (AHP) and Promethee II. This merger aims to overcome the problem of determining the criteria for the best administrator candidates in the UINSU Computer Science Department Student Association. Next, the author will build a decision support application that makes it easier to process data, compare criteria, and produce the best alternative. Overcoming the problem of criteria for being the best candidate for major student association administrators, namely by combining the Analytical Hierarchy Process (AHP) method in collaboration with the Promethee II method. To test the criteria and eligibility for prospective administrators of the UINSU computer science student association. Design and build applications that can support decisions with several conflicting criteria and alternatives that will produce the greatest value which will later be selected as the best alternative. Decision support system and makes it easy to select recommendations for the suitability of candidates for departmental student association management. The selection results are obtained from the alternative results with the highest final value. The system that has been built can be used by UINSU, so that UINSU can select prospective association administrators as departmental student association administrators.
Implementasi Text Mining Dalam Penentuan Kinerja Layanan Antara Grab dan Gojek Berdasarkan Opini Masyarakat Menggunakan LDA Syapira, Tiwi; Zufria, Ilka
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4833

Abstract

Public transportation is currently based on applications and the internet, so it is called online transportation. Grab and Gojek are two online transportation service providers who want to provide the best service. Users provide responses, experiences, criticism and suggestions via Twitter. This research will use the LDA algorithm to map topics that users frequently discuss regarding Gojek and Grab. Latent Dirichlet Allocation (LDA) is an unsupervised learning algorithm used to detect topics in a collection of text documents. LDA assumes that each document consists of a mixture of several topics, and that each topic consists of a probability distribution over words. LDA works by modeling the generative process of documents. This process begins by selecting a topic for the document, then selecting words from that topic. The probability of selecting certain topics and words is determined by parameters learned from the data. Data was obtained via Twitter with the keywords "#grabid" and "#gojekindonesia". From the research results, it was found that the best topic mapping results for Gojek objects were 2 topics, namely promotions and orders. Meanwhile, Grab objects are divided into 4 topics, namely communication, transactions, orders and orders
Classification of Lung TB Levels by Region in Medan City Using Logistic Regression Algorithm Purnamawati, Sri; Zufria, Ilka
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 4 (2025): Agustus 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i4.8914

Abstract

The Indonesia Smart Program is a cash assistance for education aimed at elementary, middle, and high school students aged 6-21 who come from underprivileged families. In the selection process for prospective recipients of the Indonesia Smart Program at SMA Negeri 1 Kutalimbaru, several problems arose due to the still conventional data processing. This issue is primarily caused by technological limitations and the absence of a computerized system to process that data. As a result, the process is time-consuming and prone to high error rates. Therefore, a computer-based system is needed to assist in the Recommendation of Prospective Recipients of the Indonesia Smart Program. In this study, a combination of two methods was used, namely the Rank Order Centroid (ROC) method for criterion weighting and Additive Ratio Assessment (ARAS) for ranking. Based on the tests conducted on 180 data of students eligible to receive the Program Indonesia Pintar at SMA Negeri 1 Kutalimbaru, the ranking results established Restu (A142) in the first position as the most recommended Candidate Recipient of the Program Indonesia Pintar with a final score of “1”, with criteria including having a KIP Card “Yes”, having a KKS Card “Yes”, being an orphan “Orphan”, number of dependents “2”, parental income “No Income’. Thus, the ROC and ARAS methods prove to be suitable in assisting decision-making for recommendations for Candidates to Receive the Program Indonesia Pintar.
IMPLEMENTASI ALGORITMA C5.0 UNTUK MEMPREDIKSI KETERLAMBATAN PEMBAYARAN SUMBANGAN PEMBANGUNAN PENDIDIKAN PADA SMP SWASTA AN-NAAS BINJAI Nurhasanah, Mutia; Zufria, Ilka
JISTech (Journal of Islamic Science and Technology) Vol 9, No 1 (2024)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jistech.v9i1.21499

Abstract

Pengelolaan keuangan yang efisien merupakan aspek penting dalam keberhasilan operasional lembaga pendidikan, terutama terkait pembayaran Sumbangan Pembangunan Pendidikan (SPP). Keterlambatan pembayaran SPP dapat mengganggu arus kas sekolah dan menimbulkan masalah administratif. Penelitian ini bertujuan mengembangkan dan mengimplementasikan Algoritma C5.0 untuk memprediksi keterlambatan pembayaran SPP di SMP Swasta An-Naas Binjai. Algoritma C5.0 dipilih karena kemampuannya mengolah data kompleks dan menghasilkan model prediksi yang mudah dipahami. Hasil evaluasi menunjukkan bahwa Algoritma C5.0 mampu memberikan tingkat akurasi sebesar 85%, dengan precision 88.89% dan recall 94.12%. Ini menandakan efektivitas algoritma dalam memprediksi keterlambatan pembayaran SPP serta keandalannya sebagai alat bantu pengelolaan keuangan sekolah. Penelitian ini juga menghasilkan sistem yang diharapkan dapat meningkatkan efisiensi pengelolaan keuangan dan memberikan wawasan lebih baik mengenai faktor-faktor yang mempengaruhi keterlambatan pembayaran SPP
Implementasi Algoritma A Star Pada Sistem Informasi Geografis Sekolah Luar Biasa di Kota Medan Muhammad Reyhandi Akbar; Ilka Zufria; Aninda Muliani Harahap
Journal of Computers and Digital Business Vol. 3 No. 1 (2024)
Publisher : PT. Delitekno Media Madiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v3i1.243

Abstract

Sekolah Luar Biasa merupakan tempat pendidikan bagi anak-anak berkebutuhan khusus. SLB memiliki beberapa jenis yang dibedakan sesuai dengan kelainan yang disandang oleh peserta didiknya. Banyak informasi mengenai fasilitas pendidikan umum yang telah diketahui oleh masyarakat, namun tidak dengan informasi mengenai sekolah khusus seperti Sekolah Luar Biasa(SLB). Informasi bagi masyarakat umum tentang jenis, lokasi, jumlah guru, jumlah tenaga kependidikan, jumlah peserta didik, dan profil SekolahLuar Biasa pada SLB masih dianggap minim informasi. Karena masalah tersebut dilakukan analisis untuk membangun sistem informasi geografis sebagai media teknologi informasi dalam menampilkan tata letak lokasi sekolah luar biasa di Kota Medan dan menggunakan algoritma A Star untuk memudahkan masyarakat dalam memperoleh rute terdekat menuju lokasi tujuan. Dengan adanya rute terdekat pada sistem ini, penulis juga berharap agar memudahkan masyarakat KotaMedan dalam mencari lokasi Lokasi Sekolah Luar biasa yg terdekat dari tempat tinggal mereka khususnya masyarakat yg memiliki Anak Berkebutuhan Khusus (ABK).
Penerapan Algoritma C5.0 Untuk Memprediksi Tingkat Kepuasan Siswa Terhadap Kinerja Guru MAN Simalungun Kherina Surya Ningsih; Zufria, Ilka
JURNAL FASILKOM Vol. 13 No. 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i3.6347

Abstract

Peran guru sangat penting dalam membentuk lanskap pendidikan, yang mencakup pendidikan formal di berbagai tingkatan. Tanggung jawab ini mencakup pengasuhan, bimbingan, penilaian, dan evaluasi siswa. Mengambil inspirasi dari sebuah ayat yang mendasar, penelitian ini menyelidiki pengaruh mendalam dari prinsip-prinsip Alquran, dengan menggunakan kehidupan Nabi Muhammad sebagai model, dalam membentuk profesionalisme guru. Hubungan ini berfungsi sebagai aspek dasar dalam memahami peran pendidik. Tantangan yang teridentifikasi dalam kinerja guru di Madrasah Aliyah Negeri Simalungun secara signifikan berdampak pada kepuasan dan hasil belajar siswa, dengan faktor-faktor seperti penjelasan yang tidak jelas dan kurangnya antusiasme yang menonjol. Dengan menggunakan teknik-teknik canggih, penelitian ini menggunakan data mining, khususnya algoritma C5.0, untuk memprediksi tingkat kepuasan siswa. Algoritma ini menganalisis kumpulan data yang terdiri dari 70% data pelatihan dan 30% data pengujian. Hasilnya menunjukkan tingkat akurasi 77,78%, presisi 87,50%, recall 87,50%, spesifisitas 0%, dan skor F1 87,50% pada percobaan pertama. Pada percobaan kedua, dengan 80% data pelatihan dan 20% data pengujian, akurasi sebesar 83,33%, presisi 83,33%, recall 100%, spesifisitas 0%, dan F1-score 90,90%. Penelitian ini menggarisbawahi pentingnya pengambilan keputusan yang tepat untuk meningkatkan kualitas pendidikan. Dengan memprediksi dan menangani faktor-faktor yang mempengaruhi kepuasan siswa, para pendidik dapat mengimplementasikan perbaikan yang ditargetkan dalam metode pengajaran. Selain itu, penelitian ini juga sejalan dengan dan menunjukkan kepatuhan terhadap Undang-Undang Sistem Pendidikan Nasional. Analisis kuantitatif ini memberikan wawasan yang berharga bagi para pendidik dan pembuat kebijakan dalam upaya berkelanjutan mereka untuk memperbaiki dan mengoptimalkan dinamika guru-siswa.
Co-Authors Abdul Halim Hasugian Abdul Rasyid Achyar Zein Adelina Manik Adelina Manik Adnan Buyung Nasution Afira Zulfa Afriani Afriani Agung Hamdika Surya Aidil Halim Lubis Aidil Halim Lubis Aidil Halim Lubis Aila Oktavia Abdul Nst Alfahri, Bagus Ageng Alfiansyah, Raja Alfin Budiman Sihotang Ali Ikhwan Ali Ikhwan Amri, M Choirul Andrian Sahputra Aninda Muliani Anjani, Retno Anwar Fauzi Apriani Syahputri Aprilia, Nia Arfina Handayani Armansyah Armansyah Armansyah Armansyah Armansyah Atiqi, Muhammad Farros Aulia, Muhammad Fathir Bagus Ageng Alfahri Batubara, Qisti Azraladiba Ba’ayesh, Mubarak Beni Frandian Beny Kesuma Bimantara, Muhammad Dhuha Bintang Kurniawan Herman Buyung Satrio Dasopang Buyung Satrio Dasopang Chairul Rizal Chintya Anggraini Cici Irawati Cindy Juliani Cindy Novi Syahputri Danang Wahyu Wicaksono Darsih, D Daulay, Darisma Dea Alya dedi irawan Desmi Roma Putra Lubis Dhafa Hibrizi Sitorus Dimas Arya Dimas Arya Dinda Ayu Ningsih Dion Wirayuda Bahri Dodyk Fahlome Dwi Prapita Sari Dzulfikri Akbar Dollar Edilia, Fazila Nazifa Efriliya Hafni Yuswinda Erwin Nasution Fachri, Barany Fadila, Daffa Fadilla, Nurul Fahmi Dian Pratama Fahrialdy Febriansyah Putra Fahrizal Alwafi Chandra Susi Syafriana Barus Fakhriza, M Fakhriza, M. Farentika, Yosi Fathurahman, Luthfi fazila nazifa edilia Firman Syarif Fitri, Wan Ilia Gilang Reynabil Gina Sania Habib Asy Muhyi Hafiz Fawi Anugerah Hakim, Yusrizal Hanifa Salsabila Harahap, Parlindungan Harry Setiawan Hasugian, Aldi Ridwansyah Hazizah Ulfa Nasution Heri Santoso Heri Santoso Herman, Bintang Kurniawan Ibnu Rusydi Idris Siregar, Idris Ilham Maulana Ritonga Imam Utomo Intan Nofitasari Intan Saleha Tinendung Irawati, Cici Iskandar, Isna Damaiani Ismail Husein, Ismail Jayyid Jiddan Jelita Rahmah Zebua Juliani, Cindy Kaka Davi Dharmawan Khaidir Hanafi Khairani, Melvika Kherina Surya Ningsih Lailan Sofinah Harahap Lubis, Aidil Halim Luthfi Al Faraby M Fakhriza M Fakhriza M Ferdiansah Rkt M Irsyad Ramadhan M Taufiq Rachman Siregar M. Fakhriza M. Fakhriza M. Fakhriza M. Ihsan Lubis M. Ridwan Machfudz, Emir Syarif Mardiah Ramadhani Marini Maulana, Rexa Mhd Ikhsan Rifki Mhd. Syahnan Miftah Hadi Surbakti Mila wati Muchain, Alfira Nafhan Muhamad Alda Muhammad Arif Suhada Muhammad Auliyah Al Ghazali ZA Muhammad Dedi Irawan Muhammad Dio Arkan Muhammad Eka Muhammad Fathir Aulia Muhammad Iqbal Nahwi Muhammad Nabhan Akbar Marpaung Muhammad Reyhandi Akbar Muhammad Siddik Hasibuan Muhammad Syahputra Novelan Muhammad Zulfikar Lubis Naina Nazwa Hasibuan Nasution, Muhammad Irwan Padli Nasution, Yusuf Ramadhan Nazwa Aliya Muthmainnah Hasibuan Nia Aprilia Nst, Aila Oktavia Abdul Nst, Khusnul Khotimah Nur Hasanah Pohan Nur Nofrizal Agustina Srg Nur Shafwa Aulia Sitorus Nurainun Syahdia Nurhanifah Nurhasanah, Mutia Nurul Fadhillah Nurul Fikria Okta Yuliardi Oktopanda Oktopanda Pandi Ahmad Jawara Panjaitan, Arif Wijaya Pinasthika Alya Disti Pradana, Riski Ananta Pratama, Bagus Aji Puan Syaharani Sitorus Puji Sari Ramadhan Purba, Ony Hizri Kaifa Purnamawati, Sri Putra, Fahrialdy Febriansyah Qisti Azraladiba Batubara Ragilia Putri Dinanti Raissa Amanda Putri Raisyah, Shafira Isra Rakhmat Kurniawan R Ramadani, Suci Adina Ramadhan, M Irsyad Rambe, M. Riski Andika Rambe, Rinanda Putri Rani, Putri Meuthia Rendy Andika, Rendy Revina Putri Damayanti Reza Ade Putra Reza Adhitya Budiman Rifdah Arianto Rifdah Syahputri Rina Afriani Sitorus Rini Halila Nasution Rio Rinaldi Rio Rinaldi Risky, Tengku Tanzil Azhari Riswandi Riswandi Riswandi Riswandi Riswandi, Arif Rita Novita Sari Rita Novita Sari Rita Sari Dewi Rizky, Ishlahiyah Nur Rkt, M Ferdiansah Roy Surya Fikriadi Sahputra, Andrian Said Arrahman Salsabila Mahfuza Samsudin, Samsudin Sari Jamilah Rangkuti Sarmila Sarmila Sephia, Putri Aisyah Septiana Dewi Andriana, Septiana Dewi Shania Oktawijaya Silvia Sari Simanjuntak, Salmah Simbolon, Zianah Nafisah Sinaga, Annisa Fitri Siti Sarah, Siti Siti Septia Febiyaula Sitorus, Dhafa Hibrizi Sitorus, Nur Shafwa Aulia Sitorus, Puan Syaharani Sitorus, Rina Afriani Sofiyatul Adawiyah Sriani Sriani Suendri Suendri Suendri, Suendri Suhardi Suhardi Suhardi Suhardi, Suhardi Sulindawaty Sulindawaty Supiyandi Supiyandi Surbakti, Miftah Hadi Syafitri, Febry Dwi Syafrida, Desy Syahrina Indah Harahap Syapira, Tiwi Talita, Friza Tanjung, Erti Belastari Tanjung, Siti Maya Sari Tengku Tanzil Azhari Risky Tiara Bela Harahap Tisna Handayani Triase Triase Triase Triase, Triase Ulfia Zahra Utomo, Imam Wahyu Rahmansyah Wahyudi Wahyudi Wan Ilia Fitri Wardani, Dina Ayu Winny Wiyandari Wiranda Wiranda Yusrizal Hakim Yusuf Ramadhan Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zaim Izza Makarim Zalina Zakaria Zebua, Jelita Rahmah Zianah Nafisah Simbolon Zulham Zulham