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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 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) 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

Author-ID : 2532773

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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Penerapan Metode Fuzzy Sugeno Untuk Optimalisasi Persediaan Pakaian Agung Wijaya; Raissa Amanda Putri
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.770

In the fashion retail industry, inventory management is a major challenge due to fluctuating and unpredictable customer demand. Errors in inventory planning may lead to overstocking or stockouts, increased storage costs, and decreased customer satisfaction. This study aims to develop a decision support system using the Sugeno fuzzy logic method to optimize clothing inventory. The input variables consist of initial stock, incoming goods, and outgoing goods, which are processed through fuzzification, inference, and defuzzification stages to produce the predicted final stock. Experimental results show that the Sugeno fuzzy model achieves better accuracy compared to conventional methods, with a Mean Absolute Percentage Error (MAPE) of 17.99%, equivalent to a prediction accuracy of 82.01%. The main contribution of this research lies in the application of the Sugeno fuzzy method to local fashion retail inventory management, which has generally been carried out manually. This approach enables the system to provide more precise stock recommendations, thereby helping stores reduce the risk of overstocking and stockouts, improve operational efficiency, and enhance business competitiveness.

Perancangan Sistem Informasi Absensi Berbasis Web dengan Validasi Lokasi Pada PT XYZ Fakhri Alauddin Tarihoran; Much Nur Syams Simaja; Raissa Amanda Putri
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 01 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Employee attendance plays an important role in maintaining discipline and supporting work effectiveness. However, manual and fingerprint-based attendance systems still face several challenges, such as the possibility of proxy attendance, long queues during check-in hours, and difficulties in data recap. To address these issues, this study designs a web-based attendance information system equipped with GPS location validation and photo capture as proof of attendance. The research was conducted at PT XYZ using the Waterfall development method. Data were collected through observation, interviews, and documentation studies to formulate system requirements. The system design was modeled using Unified Modeling Language (UML), including use case diagrams and activity diagrams, which illustrate the interaction flows between employees and administrators. The implementation results show that the system successfully validates attendance location, stores photos as visual evidence, and facilitates administrators in managing employee and location data. Testing using the Black Box method confirmed that all functions operated as expected. Thus, the system improves the validity of attendance data, reduces fraud, and supports administrative efficiency within the company.

Penerapan Metode Fuzzy Time Series dalam Prediksi Produksi Kulit Pie Fajrul Aulia Yudha; Raissa Amanda Putri
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 1 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i1.94901

Abstrak:Prediksi penjualan yang akurat menjadi sangat penting bagi perusahaan untuk merancang strategi produksi dan pemasaran yang efektif. Dengan prediksi yang tepat, perusahaan dapat menyesuaikan kapasitas produksi, mengelola persediaan dengan optimal, dan menyusun strategi promosi yang sesuai dengan kebutuhan pasar. Dalam penelitian ini, metode Fuzzy Time Series diterapkan untuk memprediksi penjualan bulanan kulit pie, berdasarkan data historis penjualan yang tersedia. Proses penelitian dimulai dengan pengumpulan data penjualan bulanan, diikuti oleh pembentukan interval fuzzy yang mewakili berbagai kategori penjualan. Tahapan selanjutnya adalah fuzzifikasi, yaitu mengubah data asli ke bentuk fuzzy agar pola penjualan dapat teridentifikasi dalam tiap interval. Setelah itu, aturan fuzzy disusun untuk menentukan hubungan antara periode sebelumnya dan prediksi untuk periode berikutnya. Akhirnya, defuzzifikasi dilakukan untuk mengonversi data fuzzy kembali ke bentuk konkret. Berdasarkan hasil penelitian ini, prediksi penjualan bulan berikutnya berada pada kelas fuzzy A4 dengan estimasi produksi sebesar 1400 unit dan nilai MAPE sebesar 20,42%. Temuan ini menunjukkan bahwa metode Fuzzy Time Series merupakan pendekatan yang andal dalam memodelkan data penjualan yang tidak stabil, serta menyediakan informasi berharga bagi manajemen dalam mendukung pengambilan keputusan produksi dan perencanaan bisnis secara keseluruhan. Metode Fuzzy Time Series terbukti lebih efektif dibandingkan beberapa metode prediksi lainnya, seperti metode regresi linier atau metode ARIMA, terutama dalam menghadapi data penjualan yang fluktuatif dan memiliki pola yang sulit diprediksi. Keunggulan metode ini terletak pada fleksibilitasnya dalam menangkap ketidakpastian dan variabilitas data, memungkinkan hasil prediksi yang lebih akurat dalam situasi di mana metode konvensional cenderung mengalami keterbatasan.===================================================Abstract:Accurate sales forecasting is crucial for companies to design effective production and marketing strategies. With precise predictions, companies can adjust production capacity, manage inventory optimally, and develop promotional strategies that align with market demands. In this study, the Fuzzy Time Series method was applied to forecast monthly pie crust sales, based on available historical sales data. The research process began with the collection of monthly sales data, followed by the creation of fuzzy intervals representing various sales categories. The next step was fuzzification, which converts the original data into a fuzzy form to identify sales patterns within each interval. Subsequently, fuzzy rules were formulated to determine the relationship between previous periods and predictions for the following period. Finally, defuzzification was carried out to convert the fuzzy data back into a concrete form. Based on the results of this study, the sales forecast for the next month falls within the fuzzy class A4, with an estimated production of 1,400 units and a MAPE value of 20.42%. These findings demonstrate that the Fuzzy Time Series method is a reliable approach for modeling unstable sales data and provides valuable information for management in supporting production decision-making and overall business planning. The Fuzzy Time Series method has proven to be more effective than other forecasting methods, such as linear regression or ARIMA, particularly when dealing with fluctuating sales data and patterns that are difficult to predict. This method's strength lies in its flexibility to capture uncertainty and data variability, allowing for more accurate forecasts in situations where conventional methods tend to face limitations.

EVALUASI MODEL DATA WAREHOUSE UNTUK MENDUKUNG MANAJEMEN PENDIDIKAN DENGAN TAM Raissa Amanda Putri; Sriani Sriani
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 2, No 1 (2018): April 2018
Publisher : Universitas Islam Negeri Sumatera Utara

User acceptance is important in the software development process. The purpose of this paper is to evaluate a data warehouse model that can display all useful information that can support education management. The design results of this model will be evaluated using the Technology Acceptance Model (TAM) which describes the acceptance of information technology with certain dimensions that may affect the acceptance or not of information technology by the user. Methods of data collection using questionnaires distribution techniques, interviews and observation. The result of this research is evaluation of data warehouse model to support education management.Keywords: Model Evaluation, Data Warehouse, Education Management, Technology Acceptance Model

ANALISA SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE TOPSIS UNTUK SISTEM PENERIMAAN PEGAWAI PADA SMA AL WASHLIYAH TANJUNG MORAWA Sriani Sriani; Raissa Amanda Putri
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 2, No 1 (2018): April 2018
Publisher : Universitas Islam Negeri Sumatera Utara

Decision support system is a system that is able to solve problems efesian, effectively, which aims to help make decisions by choosing a variety of alternative decisions. With the software implemented hiring decision support system by using TOPSIS method to facilitate decision-making in SMA Al Washliyah Tanjung Morawa. The program used role in this system is Microsoft Visual Studio 2008 by using a MySQL database as the tools used for the testing process. The results of this program show that the progress of science and technology, each job can be more efficiently and effectively. The program is expected to provide a solution or settlement of the existing problems, thus adding to the treasury of the new science. Keywords:Decision support system, TOPSIS

Klasifikasi Model Konten Kuliner Viral UMKM di TikTok Menggunakan Algoritma Naive Bayes Ziyad Habibul Mikraj; Raissa Amanda Putri
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9537

This study examines the development of a classification model for viral culinary content of Micro, Small, and Medium Enterprises on the TikTok platform based on video caption text. The main problem lies in the high variation of promotional language, the use of trending terms, and unstructured text formats, which make the identification of viral culinary categories difficult to perform manually and inconsistently. This study aims to design a systematic classification model to automatically and measurably group TikTok captions of enterprises into viral culinary categories. The dataset consists of 800 captions collected through scraping using the Apify API. The model development process includes preprocessing stages such as cleaning, case folding, tokenizing, normalization, stopword removal, stemming, and detokenization to produce standardized text. Feature weighting is then performed using TF-IDF, followed by model construction using the Naïve Bayes algorithm. The resulting model classifies data into ten viral culinary categories, namely Donat Mochi, Cireng, Risol, Kentang Curly, Lukchup, Dimsum Mentai, Es Teh Jumbo, Indomie Telur, Mochi Daifuku, and Dessert Box. Evaluation using a confusion matrix and classification report shows an accuracy of 0.74 or 74 percent. These results indicate the model supports automated analysis of viral culinary trends.

Clustering YouTube Comments on Mental Health in Indonesia Using the K-Means Algorithm Agung Nugroho; Raissa Amanda Putri
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 2 (2026): April 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i2.9552

This study aims to analyze mental health expressions in Indonesian-language YouTube comments using a text mining approach and the K-Means clustering algorithm. The increasing use of social media as a platform for expressing psychological conditions has resulted in large volumes of unstructured textual data that are difficult to analyze manually. Therefore, this study applies text preprocessing techniques, including case folding, tokenization, stopword removal, and stemming, followed by Term Frequency–Inverse Document Frequency (TF-IDF) weighting to transform textual data into numerical representations. The clustering process is performed using the K-Means algorithm, and the optimal number of clusters is determined using the Elbow Method and Silhouette Coefficient. The results show that the optimal number of clusters is k = 3, with the highest Silhouette Coefficient value indicating good cluster quality. A total of 2,411 YouTube comments were successfully grouped into three clusters, representing different types of mental health expressions, namely complaint expressions, personal experience narratives, and general responses. This study contributes by providing a social media comment clustering model to analyze mental health expressions in the Indonesian digital context. The results demonstrate that the K-Means algorithm can effectively identify meaningful patterns in large-scale textual data without requiring labeled datasets, making it useful for supporting data-driven mental health analysis.

Implementation of Multi Channel-Single Phase in The Queue Information System of Julok Publik Health Center Fazril Fazril; Raissa Amanda Putri; Aninda Muliani
Jurnal Penelitian Medan Agama Vol 16, No 2 (2025): JULY-DECEMBER
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58836/jpma.v16i2.27770

Health services are closely related to queuing processes that directly affect service efficiency and patient comfort. At Julok Public Health Center, the queuing system is still conducted manually, resulting in long waiting times, overcrowding, and reduced service quality. This study aims to develop and implement a web-based queue information system using the Multi Channel–Single Phase model to improve the efficiency and quality of public health services. The research method applied is Research and Development (R&D) with a waterfall-based system development approach. The results indicate that the implemented system supports online registration, real-time queue monitoring, and queue data management, which contribute to reducing patient waiting time, improving service efficiency, and enhancing patient convenience. Therefore, the developed system provides a positive contribution to improving the quality of primary healthcare services.

Analysis of Air Pollution Standard Index Using Support Vector Machine Algorithm Fitra Hidayat Lubis; Raissa Amanda Putri; M Fakhriza
Building of Informatics, Technology and Science (BITS) Vol 7 No 4 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i4.9506

Air pollution is one of the major environmental problems in urban areas, including Medan City, Indonesia. The Air Pollution Standard Index (Indeks Standar Pencemar Udara / ISPU) data provided by the Environmental Agency is often difficult for the public to interpret due to its numerical format. This study aims to analyze and classify air quality using the Support Vector Machine (SVM) algorithm and present the results through data visualization. The dataset used in this research is secondary data obtained from the Environmental Agency of Medan City, including pollutant parameters such as PM10, PM2.5, SO₂, NO₂, CO, O₃, and HC. The research method follows a quantitative descriptive approach, including data preprocessing, ISPU calculation based on government regulations, classification using SVM, and visualization using graphical methods such as line charts, bar charts, and heatmaps. The results indicate that SVM is effective in classifying air quality categories into Good, Moderate, Unhealthy, Very Unhealthy, and Hazardous. Additionally, visualization techniques improve the interpretability of air quality data, making it easier for stakeholders and the public to understand environmental conditions. This study contributes to decision support systems for environmental monitoring and public awareness.

Klasifikasi Bidang Pekerjaan IT pada LinkedIn Menggunakan TF-IDF dan Cosine Similarity Dafa Fahreza Putra; Raissa Amanda Putri
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 5 (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.v7i5.2113

LinkedIn menjadi salah satu platform utama dalam publikasi lowongan kerja, namun banyak lowongan bidang Teknologi Informasi (IT) memiliki ketidaksesuaian antara judul jabatan dan isi deskripsi pekerjaan sehingga menyulitkan pencari kerja dalam memahami kebutuhan kompetensi secara akurat. Penelitian ini bertujuan untuk mengklasifikasikan bidang pekerjaan IT pada LinkedIn serta memvalidasi konsistensi label jabatan berdasarkan kesamaan deskripsi pekerjaan. Data dikumpulkan melalui proses web scraping menggunakan Selenium dengan total 417 data pada lima kategori, yaitu Frontend Developer, Backend Developer, Data Analyst, Cloud Engineer, dan UI/UX Designer. Tahapan pengolahan data dilakukan melalui preprocessing teks meliputi case lipat, tokenizing, stopword removal, dan stemming. Selanjutnya, fitur teks dibentuk menggunakan pembobotan TF-IDF dan tingkat kemiripan antar dokumen dihitung menggunakan metode cosine kesamaan. Hasil pengujian menunjukkan bahwa dari 417 data lowongan, sebanyak 393 data (94,24%) teridentifikasi valid karena label judul jabatan sesuai dengan deskripsi pekerjaan yang paling mirip, sedangkan 24 data (5,76%) terindikasi tidak valid. Setelah validasi, kategori dengan jumlah lowongan terbanyak adalah Cloud Engineer sebesar 155 data (39,44%), diikuti Data Analyst sebesar 107 data (27,23%), UI/UX Designer sebesar 57 data (14,50%), Frontend Developer sebesar 54 data (13,74%), dan Backend Developer sebesar 20 data (5,09%). Penelitian ini memberikan kontribusi berupa pendekatan berbasis kesamaan teks untuk membantu validasi klasifikasi TI lowongan sehingga informasi kebutuhan kompetensi pada lowongan kerja dapat lebih konsisten dan mudah dianalisis.

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 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 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 Dinary Dwihatami 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 Khairi, Ananda Salsabila Khotnai Shinta Khotnai Shinta Laylan Syafina Lestari, Rika Dinda Liza Khairani Lubis, Amalina Shadrina 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 Rafli Khalis Nugraha Rahma Yuni Rahma, Anisa Sri Rahma, Baqiyatur Rahma, Najahaura Rakhmat Kurniawan R Rambe, Risti Rani Ritonga Reni Lestari Reni Yunita Riko Aldinata Rinaldy, Fahdly Ritonga, Siti Marlina Rizky Ananda Pakpahan Rizky Pakpahan Rizky, M. Andika RR. Ella Evrita Hestiandari Sabri, Muhammad Sahbandi Sahbandi Sahnas Wulandari Sahnas Wulandari Siregar 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 Setiawan, Djorgi Agung 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 Syahputra, Musthofa Akmal Syaidah Fiddarain Tania Yulindra Teuku Alif Baihaqy Thamrin, Alwi Aryusya Triase Triase Triase Triase Triase Triase Triase Triase Triase Triase, Triase Tua, Anri Hafiz 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 Zahidah, RA. Ghina Zahrowaini, Taqiya Ziyad Habibul Mikraj

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