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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 Infotech Journal 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 AL-ULUM: JURNAL SAINS DAN TEKNOLOGI STRING (Satuan Tulisan Riset dan Inovasi Teknologi) JOISIE (Journal Of Information Systems And Informatics Engineering) Journal of Information System, Applied, Management, Accounting and Research 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 JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) 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 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 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) Journal of Computer Science and Informatics Engineering 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 Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS OKTAL : Jurnal Ilmu Komputer dan Sains Jurnal Sistem Informasi dan Ilmu Komputer JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI (JISI) Jurnal INFOTEL 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 Academia Open
Raissa Amanda Putri
Universitas Islam Negeri Sumatera Utara
Religion 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 Physics Public Health Social Sciences Other

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PEMETAAN KRIMINOLOGI TERHADAP PENCURIAN SEPEDA MOTOR MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING Dinda Budiarti; Yusuf Ramadhan Nasution; Raissa Amanda Putri
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.3050

Abstract

Abstract: This study aims to map the crime rate of motorcycle theft in Aek Batu Village, Torgamba District, Labuhanbatu Selatan Regency, using the K-Means Clustering algorithm. This mapping system was developed to classify areas based on crime-prone levels, facilitating preventive actions and security improvements in the region. The data used includes motorcycle theft reports processed into numerical datasets as input for the algorithm. The clustering results classify areas into three categories: high, medium, and low crime levels. The implementation of this system is expected to provide clear information to the public to increase awareness and minimize crime risks. Keyword: K-Means Clustering, Crime Mapping, Motorcycle Theft, Data Mining, Regional SecurityAbstrak: Penelitian ini bertujuan untuk memetakan tingkat kriminalitas pencurian sepeda motor di Desa Aek Batu, Kec. Torgamba, Kab. Labuhanbatu Selatan menggunakan algoritma K-Means Clustering. Sistem pemetaan ini dibangun untuk mengklasifikasikan wilayah berdasarkan tingkat rawan kejahatan, sehingga mempermudah pengambilan langkah preventif dan peningkatan keamanan di daerah tersebut. Data yang digunakan mencakup laporan pencurian sepeda motor yang diolah menjadi dataset numerik sebagai input algoritma. Hasil clustering menunjukkan pengelompokan wilayah ke dalam tiga kategori: tinggi, sedang, dan rendah tingkat kriminalitas. Implementasi sistem ini diharapkan memberikan informasi yang jelas kepada masyarakat untuk meningkatkan kewaspadaan dan meminimalkan risiko kejahatan. Kata kunci: K-Means Clustering, Pemetaan Kriminalitas, Pencurian Sepeda Motor, Data Mining, Keamanan Wilayah.
IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PENJURUSAN SISWA DENGAN MENGGUNAKAN METODE FUZZY MAMDANI DAN WEIGHTED PRODUCT (WP) DI SMAN 1 BARUMUN KABUPATEN PADANG LAWAS Ahdi Alfein Harahap; Yusuf Ramadhan Nasution; Raissa Amanda Putri
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.3161

Abstract

Abstract: Modern education integrates technology to enhance learning methods and 21st century skills. In this context, the application of decision support systems (DSS) such as Fuzzy Mamdani and Weighted Product (WP) is important to increase efficiency and objectivity in student majors. This research focuses on the implementation of SPK at SMAN 1 Barumun, Padang Lawas Regency, with the aim of overcoming challenges in assessing complex criteria and uncertainty in decision making. The Fuzzy Mamdani method was chosen because of its ability to handle uncertain data and ambiguity, while WP was used to combine criteria weights in the evaluation. The web-based system being developed is expected to increase the accuracy and efficiency of student majors. Comparison with previous research that only used WP shows that this approach offers a more comprehensive solution by integrating both SPK methods. This research aims to provide more accurate recommendations and support the optimal development of student potential, as well as improve the majoring process with a more sophisticated and efficient system. Keyword: Decision Support Systems, Departments, Students, Fuzzy Mamdani, Weighted Product Abstrak: Pendidikan modern mengintegrasikan teknologi untuk meningkatkan metode pembelajaran dan keterampilan abad ke-21. Dalam konteks ini, penerapan sistem pendukung keputusan (SPK) seperti Fuzzy Mamdani dan Weighted Product (WP) menjadi penting untuk meningkatkan efisiensi dan objektivitas dalam penjurusan siswa. Penelitian ini fokus pada implementasi SPK di SMAN 1 Barumun Kabupaten Padang Lawas, dengan tujuan mengatasi tantangan dalam penilaian kriteria kompleks dan ketidakpastian dalam pengambilan keputusan. Metode Fuzzy Mamdani dipilih karena kemampuannya dalam menangani data yang tidak pasti dan ambiguitas, sementara WP digunakan untuk menggabungkan bobot kriteria dalam evaluasi. Sistem berbasis web yang dikembangkan diharapkan dapat meningkatkan akurasi dan efisiensi penjurusan siswa. Perbandingan dengan penelitian sebelumnya yang hanya menggunakan WP menunjukkan bahwa pendekatan ini menawarkan solusi yang lebih komprehensif dengan mengintegrasikan kedua metode SPK. Penelitian ini bertujuan untuk memberikan rekomendasi yang lebih akurat dan mendukung perkembangan potensi siswa secara optimal, serta meningkatkan proses penjurusan dengan sistem yang lebih canggih dan efisien. Kata kunci: Sistem Pendukung Keputusan, Jurusan, Siswa, Fuzzy Mamdani,                    Weighted Product  
Bitcoin Price Forecasting Using Random Forest and On‑Chain Data Samsudin Samsudin; Muhammad Dedi Irawan; Muhammad Irwan Padli Nasution; Raissa Amanda Putri
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46690

Abstract

Bitcoin’s extreme price volatility has long posed challenges for both investors and researchers seeking reliable forecasting models. Conventional financial approaches often fail to capture the highly complex, nonlinear, and fast-moving nature of cryptocurrency markets. To address this gap, this study develops a Bitcoin price prediction model using Random Forest Regression based on on-chain market data. The dataset was obtained from publicly available historical Bitcoin daily trading records spanning more than five years. Key features include opening price, daily high and low ranges, trading volume, and percentage change. The research was carried out in several stages. First, data preprocessing was conducted through normalization, handling of missing values, and feature engineering. Second, model training was performed with Random Forest, including parameter tuning to optimize predictive accuracy. Third, model evaluation employed R² and Mean Absolute Percentage Error (MAPE) as primary performance indicators. Fourth, visualization was implemented using interactive charts to allow users to observe short-term price fluctuations and long-term market patterns. The system development followed an iterative methodology inspired by the Streamlit Framework, which is an open-source Python library that simplifies building interactive web applications for data science and machine learning. This approach provides flexibility, enabling rapid experimentation and adaptation to evolving market conditions. The results show that the proposed model achieves near-perfect R² values (approaching 1.0) with consistently low MAPE, highlighting its reliability. Beyond predictive performance, the framework is designed to be scalable, supporting future integration with deep learning methods such as LSTM and external macroeconomic indicators, thus offering both practical utility for investors and academic contributions to decentralized finance research.
CLASSIFICATION OF CHILD GROWTH AND DEVELOPMENT DISORDERS USING SUPPORT VECTOR MACHINE (SVM) Ridho Tri Soekmanegara; Raissa Amanda Putri
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 3 (2026): June 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i3.6535

Abstract

Abstract: Child developmental disorders are conditions that may affect children's cognitive, behavioral, social, and communication abilities. Early identification of developmental disorders is essential to ensure timely intervention and appropriate treatment. However, the classification of developmental disorders remains challenging due to the similarities of symptoms among different disorders. Therefore, this study aims to implement the Support Vector Machine (SVM) algorithm for the classification of child developmental disorders, specifically ADHD, Autism Spectrum Disorder and Down Syndrome. This study employed a quantitative approach using a dataset consisting of 1,786 records with nine predictor attributes related to developmental symptoms. Data preprocessing was performed through missing value handling using the Most Frequent Imputation method and label encoding. The dataset was divided into training and testing sets using an 80:20 ratio. The SVM model was developed using the Radial Basis Function (RBF) kernel and evaluated using a confusion matrix, accuracy, precision, recall, and F1-score metrics. The experimental results demonstrated that the proposed SVM model achieved an accuracy of 98.88%. The classification report showed high performance across all classes, with precision, recall, and F1-score values reaching 0.99 on average. Confusion matrix analysis indicated only four misclassified instances out of 358 testing samples, while the Down Syndrome class achieved perfect classification performance. The findings indicate that the SVM algorithm is highly effective for classifying child developmental disorders and has the potential to support early identification and decision-making processes in child healthcare. The proposed model can serve as a reliable decision-support tool for healthcare professionals and parents in detecting developmental disorders based on observed symptoms. Keywords: SVM, Machine Learning, Developmental Disorders, ADHD, Autism, Down Syndrome, Classification. Abstrak: Gangguan perkembangan anak merupakan kondisi yang dapat memengaruhi kemampuan kognitif, perilaku, sosial, dan komunikasi anak. Identifikasi dini terhadap gangguan perkembangan sangat penting untuk memastikan intervensi yang tepat waktu dan penanganan yang sesuai. Namun, klasifikasi gangguan perkembangan masih menjadi tantangan karena adanya kemiripan gejala di antara berbagai jenis gangguan. Oleh karena itu, penelitian ini bertujuan untuk mengimplementasikan algoritma Support Vector Machine (SVM) dalam klasifikasi gangguan perkembangan anak, khususnya Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), dan Down Syndrome. Penelitian ini menggunakan pendekatan kuantitatif dengan memanfaatkan dataset yang terdiri dari 1.786 data dan sembilan atribut prediktor yang berkaitan dengan gejala perkembangan anak. Tahap prapemrosesan data dilakukan melalui penanganan nilai yang hilang menggunakan metode Most Frequent Imputation serta proses label encoding. Dataset kemudian dibagi menjadi data pelatihan dan data pengujian dengan rasio 80:20. Model SVM dikembangkan menggunakan kernel Radial Basis Function (RBF) dan dievaluasi menggunakan confusion matrix, accuracy, precision, recall, serta F1-score. Hasil eksperimen menunjukkan bahwa model SVM yang diusulkan mampu mencapai tingkat akurasi sebesar 98,88%. Laporan klasifikasi memperlihatkan kinerja yang sangat baik pada seluruh kelas dengan nilai rata-rata precision, recall, dan F1-score mencapai 0,99. Analisis confusion matrix menunjukkan hanya terdapat empat kesalahan klasifikasi dari total 358 data pengujian, sementara kelas Down Syndrome berhasil diklasifikasikan secara sempurna tanpa kesalahan. Temuan penelitian ini menunjukkan bahwa algoritma SVM sangat efektif untuk mengklasifikasikan gangguan perkembangan anak dan memiliki potensi besar dalam mendukung proses identifikasi dini serta pengambilan keputusan di bidang kesehatan anak. Model yang diusulkan dapat digunakan sebagai alat bantu pengambilan keputusan yang andal bagi tenaga kesehatan maupun orang tua dalam mendeteksi gangguan perkembangan anak berdasarkan gejala yang diamati. Kata Kunci: Support Vector Machine (SVM), Machine Learning, Gangguan Perkembangan Anak, ADHD, Autisme, Down Syndrome, Klasifikasi.
APLIKASI KLASIFIKASI MENENTUKAN BONUS TAHUNAN SALES MARKETING DENGAN MENGGUNAKAN ALGORITMA NAIVE BAYES Kariman; Raissa Amanda Putri
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.6969

Abstract

Abstract: This study applies the Naive Bayes algorithm to classify sales and marketing staff at CV XYZ for the purpose of determining annual bonus eligibility, aiming to provide accurate classification results. The Naive Bayes algorithm was selected due to its ease of implementation, simplicity, speed, and high accuracy. The research utilizes sales and marketing data from CV XYZ for the 2025 period, incorporating variables such as unit sales volume, discipline, number of complaints, total sales value, and professional ethics. The resulting system is web-based, developed using PHP, the Laravel framework, and MySQL for database management. Ultimately, the research delivers a system capable of classifying sales and marketing staff to determine who qualifies for the annual bonus. Keywords: Naïve Bayes Algorithm, Sales and Marketing, Annual Bonus, CV XYZ.   Abstrak: Penerapan naive bayes untuk klasifikasi untuk menentukan bonus tahunan sales marketing di CV. XYZ yang bertujuan memberikan sebuah hasil klasifikasi yang akurat terkait dengan sales marketing yang akan menerima bonus tahunan di CV. XYZ. Salah satu alasan peneliti menggunakan algoritma naive bayes yaitu dikarenakan algortma naive bayes mudah diimplementasikan, sederhana, cepat dan memiliki akurasi yang tinggi. Penelitian yang peneliti lakukan berdasarkan sumber data sales marketing CV. XYZ untuk periode tahun 2025, untuk variabel yang peneliti gunakan yaitu terdiri dari jumlah penjualan unit, kedisiplinan, jumlah komplain, jumlah nominal penjualan, etika. Adapun Sistem yang akan dibangun berbasis web dengan bahasa pemrograman PHP, framework Laravel, dan manajemen basis data MySQL. Adapun hasil dari penelitian yang peneliti lakukan yaitu, menghasilkan sebuah sistem untuk klasifikasi sales marketing yang akan mendapatkan bonus tahunan. Kata kunci: Algoritma Naïve Bayes, Sales Marketing, Bonus Tahunan, CV. XYZ.
Co-Authors Abdillah, Muhammad Oemar Abdul Aziz Khusen Abdul Halim Hasugian ABdul Karim Batubara, ABdul Karim Abu Dardaq Putra Ade Ratu Wardhani Adlani, Farid Adnan Buyung Nasution Afifah Balqis Pasaribu Agil Indriyani Agung Nugroho Agung Setiawan Hasibuan Agung Wijaya Agusni Firi Hasian Dalimunthe Ahdi Alfein Harahap Aini Sachira, Rheana aji wardana Alasi, Galih Aldy Alfiansyah Aldyansah Arrahman Rianto 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 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 Kartika Dewi Aulia Rahman Hakim Siregar Aulia, Dea Liza Aulia, Diva Azhari, M. Faishal Azzahro Simatupang , Siti Fatimah Bagus Setiawan Batara Wardana Yuswar Batubara, Abdul Karim Batubara, Muhammad Zulpan Bela Damanik Bella Ananda Budi Askhori Sirait Budiarti, Dinda Dafa Fahreza Putra Dalimunthe, Rizna Fitriana Dalimunthe, Roma Gabe Damayanti, Alvina Daulay, Ikhsan Agus Martua Daulay, Wan Akbar Arramadhan Decfina, Fauziah Deli Kartika Abrianisyah Delvira Salsabila Diah Indah Sari Dicky Pratama Dina Amalia Putri Lubis Dinary Dwihatami Dinda Budiarti Dini Anggraini Disa Pratama Diva Aulia Donas Putra Dwi Himala Kasih Dwi Nenda Putri Dwi Silviana Dwi Yanti Laily Elang, Nusa Fadhlan Hussaini Srg Fadilah, Ayu Fadilah, Ulfa Fadillah, Muhammad Taufik Fahimah, Nurul Fajrul Aulia Yudha Fakhri Alauddin Tarihoran Fakhriza, M. Fara Difa Aulya Farahdiba, Dhika Farhan Rizky Wahyudi Fathiya Hasyifah S FATHIYA HASYIFAH SIBARANI Fathiyah Hasyifah Sibarani Fauziah Lubis Fazril Fazril Febiyaula, Siti Septia Feby Hasanah Ritonga Fikri Hakiki Siregar Fiqri Fakhrizal Fitra Hidayat Lubis 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, 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 Adlin Sinaga Imam Zarkasih Harahap Irsandi, Mahmul Izma Khoiruna Jihan Fadhilah Taher Kariman Khairi, Ananda Salsabila Khotnai Shinta Khotnai Shinta Laylan Syafina Lestari, Rika Dinda Liza Khairani M Fakhriza M irsyan antony manday, Irsyanmanday M Taufiq Rachman Siregar M. Fakhriza malika, Sela Maulana, Mhd.Rizki Maulina Tria Audina Gultom Maurico Liang Maya Khairani Mega Andriani Mega Andriani Meisyah Nadila Mukti Mhd Furqan Miftah Siregar 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 Hendrik Koto Muhammad Ikhsan Muhammad Imbalo Zaki Hasibuan Muhammad Irvan Muhammad Naufal Al Hazmi Muhammad Ray Pratama Sembiring Muhammad Rivaldi Muhammad Setiawan Muhammad Siddik Hasibuan Muhammad Sowban Adilla Muliani Harahap, Aninda Mulya Alfan Simatupang Nabila Bidawi, Hilwa Faza Nabila, Andini Nabilah Aliya Tasya Nadiyah Khairiyah Nafis, Ayu Najwa Nabila Nasution, Adnan Buyung Nasution, Imam Fadli Nasution, Maimanah Salsabila Nasution, Muhammad Irwan Padli Nasution, Rizki Ansyari Nataryda Lubis, Muara Novrisyah Hasibuan Nst, Achmad Ramadhan Nurhabibah Febrianty Hasibuan Nurhasanah, Dhea Aulia Nurhayati Nurhayati Nurul Ifkah Lolona Silalahi Nurul Mawaddah Padang Nurul Zuriandini Paranindra Ardhana Biroe Aurori Pasaribu, Haryati Pertiwi, Elsa Pratama, Dino Farid Prayuda, Wahyu Putra Purwaningtyas, Franindya Putra, Dafa Fahreza Putrawan, Putrawan Putri Agustina Putri Lubis, Dina Amalia Rahma Yuni Rahma, Anisa Sri Rahma, Baqiyatur Rahma, Najahaura Rakhmat Kurniawan R Rambe, Risti Rani Ritonga Reni Lestari Reni Yunita Ridho Tri Soekmanegara Riko Aldinata Rinaldy, Fahdly Ritonga, Siti Marlina Rizky Ananda Pakpahan Rizky Pakpahan RR. Ella Evrita Hestiandari Sabri, Muhammad Sahbandi Sahbandi Sahnas Wulandari Sahnas Wulandari Siregar Sait, M Ibnu Salsabila, Salsabila Salsalina Br Sembiring Samsudin Samsudin Samsudin Samsudin, Samsudin Santoso, Adinda Afriliya Saprida Saprida Saprida, Saprida Saputri, Indah Sardiyana Br Karo Sari, Dinda Mayang Shinta Permata Sari Siagian, Andika Fadillah Sigit Bahuraksa Silvia Kartika Sinaga, Adhe Syari Alfatah Sinaga, Imam Adlin Sinta Dewi Siregar, Ela Khairani Siregar, Elvan Dito Siregar, Fairuz Azzaria Siregar, Putri Aprilia Siswahyudianto Siti Kania Thisara Siti Zahra Situmeang, Risky Akbar Sofiyatul Adawiyah Sri Yuslina Siregar Sriani Sriani Sriani Sriani Suendri Suendri, Suendri Suendri, Suendri Syah Zanul Husna Syahputra, Adam Syaidah Fiddarain Tania Yulindra Teuku Alif Baihaqy Thamrin, Alwi Aryusya Triase Triase Triase Triase Triase Triase Triase Triase Triase Triase, Triase Tua, Anri Hafiz Ulfa Fadilah Ulfayani Mayasari Ummi Afzah Amirah Wahyu Herlambang Wanda Sari Wanda Wardana, Aji Wibowo, Muhammad Rizky Willy Andri Malau Windi Maharani Winny Wiyandari Wiradito, Ade Yahfizham Yahfizham Yardha, La Saufa Yudha, Fajrul Aulia Yudi Lizardi Mahna Siregar Yulia Puspa Yulianda Tasya Yusniah Yusniah Yusra, Salsabila Yustria Handika Siregar Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zahidah, RA. Ghina Zahrowaini, Taqiya Ziyad Habibul Mikraj