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All Journal Teknika PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan Jurnal Informatika dan Teknik Elektro Terapan POSITIF CESS (Journal of Computer Engineering, System and Science) JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika Tech-E RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL MEDIA INFORMATIKA BUDIDARMA MODELING: Jurnal Program Studi PGMI Indonesian Journal of Artificial Intelligence and Data Mining JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Universitas Pamulang Applied Information System and Management INTECOMS: Journal of Information Technology and Computer Science JurTI (JURNAL TEKNOLOGI INFORMASI) Martabe : Jurnal Pengabdian Kepada Masyarakat Query : Jurnal Sistem Informasi ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) Jurnal Penelitian Medan Agama Jurnal Teknologi Sistem Informasi dan Aplikasi JURNAL PENDIDIKAN TAMBUSAI IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH Indonesian Journal of Applied Informatics Jurnal Manajemen Informatika Simtek : Jurnal Sistem Informasi dan Teknik Komputer Jurnal Riset Informatika JSI (Jurnal sistem Informasi) Universitas Suryadarma AL-ULUM: JURNAL SAINS DAN TEKNOLOGI STRING (Satuan Tulisan Riset dan Inovasi Teknologi) JOISIE (Journal Of Information Systems And Informatics Engineering) Antivirus : Jurnal Ilmiah Teknik Informatika METIK JURNAL Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Informatika Kaputama (JIK) Jurnal Review Pendidikan dan Pengajaran (JRPP) Building of Informatics, Technology and Science Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Kumawula: Jurnal Pengabdian Kepada Masyarakat TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Pendidikan dan Konseling Journal of Information Systems and Informatics Jurnal Ilmiah Sains dan Teknologi (SAINTEK) Zonasi: Jurnal Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) INFORMASI (Jurnal Informatika dan Sistem Informasi) JTIK (Jurnal Teknik Informatika Kaputama) Jatilima : Jurnal Multimedia Dan Teknologi Informasi G-Tech : Jurnal Teknologi Terapan JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) JIKA (Jurnal Informatika) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat Academia Open Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknologi Informasi dan Komunikasi IJISTECH RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Infotech: Jurnal Informatika & Teknologi Jurnal Abdi Mas Adzkia El-Mujtama: Jurnal Pengabdian Masyarakat JoMMiT : Jurnal Multi Media dan IT Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Information Technology (JIfoTech) Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Decode: Jurnal Pendidikan Teknologi Informasi Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal IPTEK Bagi Masyarakat Brilliance: Research of Artificial Intelligence International Journal Software Engineering and Computer Science (IJSECS) Jurnal Sistem Informasi Bisnis (JUNSIBI) Jurnal Teknologi Sistem Informasi Hello World Journal of Information Systems and Technology Research Jurnal Algoritma Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Sistem Pendukung Keputusan dengan Aplikasi YASIN: Jurnal Pendidikan dan Sosial Budaya Data Sciences Indonesia (DSI) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY International Conference on Sciences Development and Technology Journal of Artificial Intelligence and Digital Business Eduvest - Journal of Universal Studies Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS OKTAL : Jurnal Ilmu Komputer dan Sains Jurnal Sistem Informasi dan Ilmu Komputer Jurnal INFOTEL Jurnal Informatika: Jurnal Pengembangan IT Jurnal Sistem Informasi dan Manajemen Jurnal Media Akademik (JMA) Jurnal Ilmu Komputer dan Sistem Informasi Bigint Computing Journal Jurnal Garuda Pengabdian Kepada Masyarakat Jurnal Ilmiah Manajemen Dan Kewirausahaan Jurnal Sistem Informasi dan Ilmu Komputer
Raissa Amanda Putri
Universitas Islam Negeri Sumatera Utara
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Other

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Kombinasi K-Nearest Neighbor dengan K-Means Clustering Klasifikasi Stunting pada Bayi Berbasis Website Muhammad Aprilsyah; Raissa Amanda Putri
JURIKOM (Jurnal Riset Komputer) Vol 12, No 2 (2025): April 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i2.8498

Abstract

Stunting is a serious health issue caused by insufficient nutrition over an extended period, especially in young children. This study aims to develop a web-based stunting data classification system using a combination of K-Means Clustering and K-Nearest Neighbors (K-NN) algorithms. The dataset used is sourced from the Health Department of Medan City in 2021-2024, consisting of 683 data entries. The research process includes problem identification, data gathering conducted through observations and interviews, data preprocessing using StandardScaler, and splitting the dataset into 70% training and 30% testing datasets. The K-Means technique is utilized for data segmentation based on z-score values. The clustering results are then used as labels for classification with K-NN. The system implementation shows a classification result with a distribution of 6.9% for mild stunting, 25.8% for moderate stunting, and 67.3% for severe stunting. The results indicate that the combination of K-Means and K-NN produces more accurate classification compared to using a single method. This study is expected to assist the Health Department of Medan City in analyzing stunting data more efficiently and contribute to the future development of stunting classification systems.
Decision Support System for Job Applicant Recommendation Using ROC and ORESTE Methods Mu'arif, Risdani; Putri, Raissa Amanda
Journal of Information System and Informatics Vol 7 No 2 (2025): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i2.1113

Abstract

This study developed a Decision Support System (DSS) to assist the employee selection process for an agricultural company located in North Sumatra by utilizing a combination of the Rank Order Centroid (ROC) and ORESTE methods. The system was designed to address the limitations of the manual selection process, which had been time-consuming and inefficient. The ROC method was used to objectively determine the weights of each selection criterion, while the ORESTE method was applied to rank candidates based on their closeness to the company’s ideal profile. The study evaluated ten candidates based on key aspects such as educational background, competencies, work experience, and completeness of documents. The testing results demonstrated that the system was capable of producing accurate rankings consistent with manual calculations and was able to reduce the selection time from approximately two months to just a few minutes. The implementation of this system improved the objectivity and efficiency of the selection process while minimizing the risk of subjectivity in recruitment decision-making.
Implementation of PDAM Tirtanadi Risk Management Information System With Enterprise Risk Management (ERM) Approach Widodo, Mhd. Aria Agung; Putri, Raissa Amanda
Eduvest - Journal of Universal Studies Vol. 5 No. 2 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i2.50865

Abstract

PDAM Tirtanadi plays a role in providing clean water in North Sumatra. This research aims to apply Enterprise Risk Management (ERM) to improve the operational risk management of PDAM Tirtanadi, as well as designing a web-based pipe and water flow risk management system. The research methodology uses R&D with risk identification, risk color level, and COSO documents. By implementing an ERM-based Operational Risk Management Information System, PDAM Tirtanadi is expected to significantly improve its operational resilience. This will enable the company to anticipate and mitigate risks before they have a serious impact, thereby minimizing service disruptions and financial losses. Hopefully, this approach will result in increased operational efficiency, reduced costs, and improved customer satisfaction.
Klasifikasi Tingkat Kecanduan Gadget Pada Balita Menggunakan Algoritma Naive Bayes Thamrin, Alwi Aryusya; Putri, Raissa Amanda
CESS (Journal of Computer Engineering, System and Science) Vol. 9 No. 2 (2024): July 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i2.60449

Abstract

Kecanduan gadget pada balita merupakan isu yang semakin mengkhawatirkan di era digital ini. Penggunaan gadget yang berlebihan pada usia dini dapat berdampak negatif pada perkembangan kognitif, emosional, dan sosial anak. Dengan adanya penelitian ini yang diharapkan bertujuan untuk dapat mengklasifikasikan kecanduan gadget pada balita menggunakan algoritma naive bayes. Data yang digunakan dalam penelitian ini adalah data kuesioner yang mencakup berbagai atribut seperti jenis kelamin balita, usia orang tua, pendidikan orang tua, dan sembilan pertanyaan terkait penggunaan gadget pada balita. Dari data kuesioner tersebut telah dibagi menjadi data training dan data testing untuk proses klasifikasi kecanduan. Algoritma naive bayes digunakan untuk mengklasifikasikan data ke dalam tiga kategori, yaitu: tidak kecanduan, kecanduan ringan, dan kecanduan berat. Naive bayes adalah metode klasifikasi berdasarkan Teorema Bayes dengan asumsi kemandirian yang kuat (naive) antara fitur-fitur. Hasil penelitian menunjukkan bahwa algoritma naive bayes mampu mengklasifikasikan tingkat kecanduan gadget pada balita dengan tingkat akurasi yang memadai. Berdasarkan pengujian model menggunakan perangkat lunak Altair AI Studio dengan menambahkan operator naive bayes telah didapat hasil klasifikasi dengan tingkat akurasi sebesar 81,67%. Penelitian ini memperlihatkan bahwa Algoritma naive bayes dapat digunakan secara efektif untuk mengklasifikasikan tingkat Kecanduan gadget pada balita.
Perbandingan Algoritma Naive Bayes dan Algoritma Support Vector Machine (SVM) Untuk Melihat Potensi Kepatuhan Peserta BPJS Dalam Membayar Tagihan Lestari, Rika Dinda; Putri, Raissa Amanda
CESS (Journal of Computer Engineering, System and Science) Vol. 9 No. 2 (2024): July 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i2.61542

Abstract

Jaminan Kesehatan Nasional (JKN) yang diselenggarakan oleh Badan Penyelenggara Jaminan Sosial (BPJS) merupakan jaminan sosial yang wajib bagi seluruh warga negara Indonesia berdasarkan Undang-Undang Nomor 40 Tahun 2004 tentang Sistem Jaminan Sosial Nasional (SJSN). Penelitian ini bertujuan untuk melihat potensi kepatuhan peserta BPJS dalam membayar tagihan dengan menggunakan perbandingan antara algoritma naïve bayes dan algoritma support vector machine (SVM). Pada penelitian ini metode yang digunakan ialah metode kuantitatif dengan menghitung hasil tingkat akurasi dari masing masing algoritma yang digunakan. Sebelum dilakukannya penerapan pada algoritma naive bayes dan algoritma support vector machine (SVM) maka akan dilakukannya teknik KDD (Knowledge Discovery in Database) agar data yang digunakan lebih akurat. Dengan data sampel sebanyak 1.499 kita dapat mengetahui peserta BPJS mana yang membayar tagihannya sangat tepat waktu, tepat waktu, dan tidak tepat waktu dengan menggunakan teknik klasifikasi dan menerapkan algoritma naive bayes dan algoritma support vector machine (SVM) pada rapidminer alat sehingga dapat diperoleh hasil akurasi sebesar 99,10%. Dengan nilai sangat tepat waktu sebesar 0,334, tepat waktu dengan nilai sebesar 0,182, dan tidak tepat waktu dengan nilai sebesar 0,484 pada algoritma naive bayes. Sedangkan pada algoritma support vector machine (SVM) memperoleh tingkat akurasi sebesar 98,48% dengan nilai sangat tepat waktu sebesar 45, tepat waktu dengan nilai 6, dan tidak tepat waktu dengan nilai 45. dilihat dari hasil tingkat akurasi algoritma naïve bayes lebih unggul dibandingkan algoritma support vector machine (SVM).
Web-Based Paskibra Member Recruitment and Selection Management Information System in Islamic Universities Sabri, Muhammad; Suendri, Suendri; Putri, Raissa Amanda
Jurnal Penelitian Medan Agama Vol 16, No 1 (2025): JANUARY-JUNE
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58836/jpma.v16i1.23684

Abstract

This study aims to overcome problems in the process of accepting and selecting new members of Paskibra UIN North Sumatra by building a management information system. Paskibra UIN North Sumatra is one of the intra-campus organizations under the auspices of UIN North Sumatra. This organization has a system for accepting and selecting new members. However, in its implementation, this process often experiences obstacles, such as loss of prospective member data and delays in selection and announcement of results. A web-based Paskibra member acceptance and selection management information system at UIN North Sumatra was built to facilitate management in the process of acceptance, selection, and announcement of results. This information system allows registration to be done online, so prospective members do not need to come in person. In addition, the Board of Trustees can more easily monitor the selection process and provide more systematic assessments. Data collection techniques used include observation, interviews, and literature studies. The system development method applied is the Waterfall model. The system design is carried out using UML (Unified Modeling Language) to define the system workflow. The results of this study are a management information system that can increase efficiency in the process of accepting and selecting prospective Paskibra members. This information system can help reduce the risk of data loss, speed up the selection process, and improve accuracy in the assessment and announcement of results. With the information system in this study, the Paskibra UIN Sumatera Utara management can carry out its duties more optimally and provide convenience for prospective members in participating in the selection process. This research is important in encouraging the digital transformation of student organizations because it can increase work efficiency and effectiveness, as well as strengthen transparency and accountability in the selection process for new members.
A Analysis of Public Sentiment towards Beverage Franchise Reviews Using the Naïve Bayes Algorithm khairani, maya; Hasugian, Abdul Halim; Putri, Raissa Amanda
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i01.102

Abstract

A franchise is an individual or business that is licensed to use the intellectual property or business characteristics of the franchisor. Currently, the food and beverage business is very familiar because of its rapid development, one of which is boba drinks. In the food business, customer ratings and reviews are very important because they can provide suggestions and input to improve the quality of the products sold. This study analyzes drink reviews by differentiating positive and negative reviews in the text mining process using Naïve Bayes. Data was taken from Google reviews with a total of 132 data consisting of 81 positive reviews, 38 neutral and 13 negative. The accuracy of positive reviews is 70% and for all reviews it reaches 81%.
Pemilihan Siswa Kelas Unggulan Dengan Mengunakan Metode Analytical Hierarchy Process (AHP) Dan Profile Matching (PM) Sinaga, Adhe Syari Alfatah; Ikhsan, Muhammad; Putri, Raissa Amanda
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 1: JUNI 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i1.6424

Abstract

Penelitian ini bertujuan untuk merancang Sistem Pendukung Keputusan (SPK) berbasis Android yang dapat membantu proses seleksi siswa kelas unggulan dengan lebih objektif dan efisien menggunakan kombinasi metode Analytical Hierarchy Process (AHP) dan Profile Matching (PM). Metode AHP digunakan untuk menentukan bobot kriteria pemilihan melalui perbandingan berpasangan, sementara metode PM digunakan untuk mengevaluasi kesesuaian profil siswa dengan standar yang telah ditetapkan. Penelitian ini menggunakan dataset yang mencakup parameter seperti nilai tes, nilai rapor, prestasi, absensi, dan sikap untuk mendukung analisis seleksi. Hasil penelitian menunjukkan bahwa metode Profile Matching digunakan untuk menyaring alternatif berdasarkan profil ideal, dan metode Analytical Hierarchy Process kemudian digunakan untuk menghitung bobot prioritas serta melakukan perankingan. Hasil analisis menunjukkan bahwa alternatif dengan kode A7 memiliki nilai tertinggi sebesar 81,91 diikuti oleh A9 dengan 78,547 dan A8 dengan 75,392. Diharapkan dengan adanya sistem berbasis Android ini, proses seleksi siswa kelas unggulan di sekolah dapat berjalan lebih efisien dan objektif, serta mengurangi bias dalam pemilihan siswa. Dengan demikian, sistem ini mampu mendukung pengambilan keputusan yang lebih akurat dan berbasis data dalam proses seleksi siswa kelas unggulan.
Sistem Informasi Pemantauan Siswa di Madrasah Aliyah Negeri (MAN) Kabanjahe Dengan Landasan Web Rinaldy, Fahdly; Putri, Raissa Amanda; Sinaga, Imam Adlin
Data Sciences Indonesia (DSI) Vol. 4 No. 1 (2024): Article Research Volume 4 Issue 1, June 2024
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dsi.v4i1.4092

Abstract

Penelitian ini mengangkat permasalahan terbatasnya teknologi informasi di Madrasah Aliyah Negeri (MAN) 1 Kabanjahe yang menyebabkan ketidakefisienan dalam proses koordinasi antara pihak sekolah dan orang tua siswa terkait absensi, nilai, perilaku, dan pembayaran SPP siswa. Metode panggilan langsung kepada orang tua untuk datang ke sekolah tidak efektif karena banyak orang tua yang sibuk bekerja dan tidak dapat menghadiri panggilan tersebut, sehingga mereka kesulitan memperoleh informasi penting tentang perkembangan belajar anak mereka. Masalah ini mencakup ketidaktahuan orang tua mengenai kehadiran siswa yang sering bolos, nilai siswa yang bermasalah, perilaku siswa yang negatif, serta informasi prestasi dan pembayaran SPP. Situasi ini menekankan perlunya perancangan dan pembangunan Sistem Informasi Monitoring untuk mengawasi data kehadiran, nilai, perilaku, pembayaran SPP, dan informasi lainnya guna meningkatkan efektivitas komunikasi dan pengawasan antara sekolah dan orang tua. Penelitian ini menggunakan metode R&D dengan metode pengumpulan data melakukan observasi, wawancara, studi pustaka, serta dokumentasi, dan menggunakan metode pengembangan sistem berupa metode SDLC Waterfall. Data tersebut digunakan sebagai acuan dalam merancang dan mengimplementasikan aplikasi berbasis web yang sesuai dengan kebutuhan di Madrasah Aliyah Negeri 1 Kabanjahe. Hasil dari penelitian ini adalah sebuah Sistem Informasi Monitoring Siswa berbasis Web guna diimplementasikan pada Madrasah Aliyah Negeri 1 Kabanjahe. Sistem ini akan meningkatkan aksesibilitas informasi siswa, pengelolaan data, serta mempermudah proses pemantauan dan juga evaluasi siswa oleh guru dan pihak terkait. Dengan adanya website ini, diharapkan dapat memberikan manfaat yang signifikan dalam meningkatkan kualitas pendidikan di Madrasah Aliyah Negeri 1 Kabanjahe.
Implementasi Algoritma Constraint Satisfaction Problems dan Backtracking Pada Penjadwalan Kegiatan Belajar Mengajar Zahidah, RA. Ghina; Raissa Amanda Putri
METIK JURNAL (AKREDITASI SINTA 3) Vol. 9 No. 1 (2025): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v9i1.1042

Abstract

Technology has brought significant changes to the field of education, including in the management of school activity schedules. At SMP Negeri 27 Medan, the scheduling of teaching and learning activities is still carried out manually using spreadsheets and paper-based records, which takes approximately 1–2 weeks, is prone to errors, and makes it difficult to update schedules in case of sudden changes. This study proposes the development of a web-based scheduling information system using the Constraint Satisfaction Problem (CSP) approach combined with the Backtracking algorithm based on Depth-First Search (DFS). The original contribution of this research lies in the implementation of the combined CSP and DFS methods to fully automate the scheduling process efficiently, which has not been comprehensively applied in previous studies. The research method used is qualitative, with data collection techniques including observation, interviews, and literature study. The system is developed using the Waterfall model, with PHP as the programming language, Laravel for the backend, React JS for the frontend, and MySQL as the database. The implementation results show that the system can automatically generate conflict-free schedules, improve efficiency, flexibility, and accuracy in the scheduling process, and facilitate real-time information access through a web platform that can be accessed by the school, students, and the public.
Co-Authors Abdillah, Muhammad Oemar Abdul Aziz Khusen Abdul Halim Hasugian ABdul Karim Batubara, ABdul Karim Abu Dardaq Putra Achmad Ramadhan Nst Adlani, Farid Adnan Buyung Nasution Agil Indriyani Agung Setiawan Hasibuan Agung Wijaya, Agung Agusni Firi Hasian Dalimunthe Aini Sachira, Rheana aji wardana Alasi, Galih Aldinata, Riko Aldy Alfiansyah Ali Ikhwan Ali Ikhwan Ali Ikhwan Alsyah Harahap, Dymas Fatthur Rohim Alwi Perdana Aritonang Amanda, Retno Tri Ananda, Bella Andini Nur Bahri Andini, Novita Rizky Andriani, Mega Andriyani Dwi Astuti Anggi Dessisiliya Anggreini Anggun Monica Dewi Aninda Muliani Anisa Yasmin Annisa Annisa Annisa Shafira Zuhri Apipah, Nur Aprilsyah, Muhammad Arbi, Haris Andika Armansyah Armansyah Aryo Pratama Asti, Dini Audy Andini Lubis Aulia, Dea Liza Aulia, Diva Azhari, M. Faishal Azzahro Simatupang , Siti Fatimah Bagus Setiawan Bahuraksa, Sigit Balqis Pasaribu , Afifah Baridah, Lailam Batara Wardana Yuswar Batubara, Abdul Karim Batubara, Muhammad Zulpan Bela Damanik Bella Ananda Budi Askhori Sirait Budiarti, Dinda Dalimunthe, Rizna Fitriana Dalimunthe, Roma Gabe Damayanti, Alvina Daulay, Ikhsan Agus Martua Daulay, Wan Akbar Arramadhan Decfina, Fauziah Delvira Salsabila Diah Indah Sari Dicky Pratama Dinary Dwihatami Dini Anggraini, Dini Dino Farid Pratama Disa Pratama Donas Putra Dwi Himala Kasih Dwi Nenda Putri Dwi Silviana Elang, Nusa Erano, Bhirawa Atha Bassni Erlina, Fazira Fadhlan Hussaini Srg Fadilah, Ayu Fadilah, Ulfa Fadillah, Muhammad Taufik Fahimah, Nurul Fajrul Aulia Yudha Fakhri Alauddin Tarihoran Fakhriza, M. Fakhrizal, Fiqri Fara Difa Aulya Farahdiba, Dhika Fathiya Hasyifah S FATHIYA HASYIFAH SIBARANI Fathiyah Hasyifah Sibarani Fauziah Lubis Fazril, Fazril Febiyaula, Siti Septia Fiddarain, Syaidah Fikri Hakiki Siregar Fitrah Al Mubaroq Fitria Tilawatil Aulia Simarmata Garnish Ayu Andini Wijaya Gina Sonia Hadi, Firman Harahap, Ahdi Alfein Harahap, Faisal Harahap, Nurhaliza Hary Isdianto Hasibuan, Muhammad Imbalo Zaki Hasibuan, Novrisyah Hasibuan, Nurhabibah Febrianty Hasyifah Sibarani, Fathiya Heri Santoso Heri Santoso Heri Santoso Hidayat, Julkarnain Hidayati, Lily Hutasuhut, Fazira Syafitri Ibnu Faisal Ikhlasul Amal Ilka Zufria Imam Adlin Sinaga Imam Zarkasih Harahap Irsandi, Mahmul Izma Khoiruna Jihan Fadhilah Taher Khairi, Ananda Salsabila Khotnai Shinta Khotnai Shinta Koto, Muhammad Hendrik Laily, Dwi Yanti Laylan Syafina Lestari, Rika Dinda Liza Khairani M irsyan antony manday, Irsyanmanday M Taufiq Rachman Siregar M. Fakhriza Maharani, Windi malika, Sela Maulana, Mhd.Rizki Maulina Tria Audina Gultom Maurico Liang Maya Khairani Mega Andriani Mega Andriani Mhd Furqan Miftah Siregar Mikraj, Ziyad Habibul Mohammad Badri Mohammad Badri Mu'arif, Risdani Mubaraq, Aras Maulana Much Nur Syams Simaja Muhamad Alda Muhamad Rizky Abdilah Muhammad Abdul Arip Muhammad Aprilsyah Muhammad Dedi Irawan Muhammad Furqan, Muhammad Muhammad Ikhsan Muhammad Irvan Muhammad Naufal Al Hazmi Muhammad Ray Pratama Sembiring Muhammad Rivaldi Muhammad Setiawan Muliani Harahap, Aninda Muliani, Aninda Mulya Alfan Simatupang Nabila Bidawi, Hilwa Faza Nabila, Andini Nabila, Najwa Nabilah Aliya Tasya Nadiyah Khairiyah Nafis, Ayu Nasution, Adnan Buyung Nasution, Maimanah Salsabila Nasution, Muhammad Irwan Padli Nasution, Rizki Ansyari Nataryda Lubis, Muara Novrisyah Hasibuan Nurhabibah Febrianty Hasibuan Nurhasanah, Dhea Aulia Nurhayati Nurhayati Nurul Ifkah Lolona Silalahi Nurul Mawaddah Padang Nurul Zuriandini Panggabean, Trisatin Paranindra Ardhana Biroe Aurori Pasaribu, Haryati Pertiwi, Elsa Prayuda, Wahyu Putra Purwaningtyas, Franindya Puspa, Yulia Putra, Dafa Fahreza Putrawan, Putrawan Putri Agustina Putri Lubis, Dina Amalia Rafli Khalis Nugraha Rahma Yuni Rahma, Anisa Sri Rahma, Baqiyatur Rahma, Najahaura Rambe, Risti Reni Lestari Reni Yunita Rianto, Aldyansah Arrahman Rinaldy, Fahdly Ritonga, Siti Marlina RR. Ella Evrita Hestiandari Sabri, Muhammad Sahbandi Sahbandi Sait, M Ibnu Salsabila, Salsabila Salsalina Br Sembiring Samsudin Samsudin, Samsudin Santoso, Adinda Afriliya Saprida Saprida Saprida, Saprida Saputri, Indah Sardiyana Br Karo Sari, Dinda Mayang Shinta Permata Sari Siagian, Andika Fadillah Silvia Kartika Sinaga, Adhe Syari Alfatah Sinaga, Imam Adlin Sinta Dewi Siregar, Ela Khairani Siregar, Elvan Dito Siregar, Fairuz Azzaria Siregar, Putri Aprilia Siregar, Sahnas Wulandari Siregar, Siti Khairunnisa Siti Zahra Situmeang, Risky Akbar Sri Yuslina Siregar Sriani Sriani Suendri Suendri, Suendri Suendri, Suendri Syah Zanul Husna Syahputra, Adam Tania Yulindra Taqiya Zahrowaini Teuku Alif Baihaqy Thamrin, Alwi Aryusya Thisara, Siti Kania Triase Triase Triase Triase Triase Triase Triase Triase Triase Triase, Triase Tua, Anri Hafiz Ulfayani Mayasari Ummi Afzah Amirah Wahyu Herlambang Wanda, Wanda Sari Wardana, Aji Wardhani, Ade Ratu Wibowo, Muhammad Rizky Widodo, Mhd. Aria Agung Willy Andri Malau Winny Wiyandari Wiradito, Ade Wulandari, Sahnas Yahfizham Yahfizham Yardha, La Saufa Yudha, Fajrul Aulia Yudi Lizardi Mahna Siregar Yulianda Tasya Yusniah Yusniah Yusra, Salsabila Yustria Handika Siregar Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zahidah, RA. Ghina