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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Komputer Jurnal Media Infotama PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi CESS (Journal of Computer Engineering, System and Science) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Ilmiah Matrik Insect (Informatics and Security) : Jurnal Teknik Informatika Indonesian Journal of Information System IJIS - Indonesian Journal On Information System JURNAL ILMIAH INFORMATIKA Jurnal Informatika Universitas Pamulang Applied Information System and Management Technomedia Journal JurTI (JURNAL TEKNOLOGI INFORMASI) Jiko (Jurnal Informatika dan komputer) Query : Jurnal Sistem Informasi Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) Jurnal Penelitian Medan Agama JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Teknologi Sistem Informasi dan Aplikasi JURNAL PENDIDIKAN TAMBUSAI IJISTECH (International Journal Of Information System & Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Simtek : Jurnal Sistem Informasi dan Teknik Komputer JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika JUSIM (Jurnal Sistem Informasi Musirawas) METIK JURNAL Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Kumawula: Jurnal Pengabdian Kepada Masyarakat JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI IJAIT (International Journal of Applied Information Technology) Jurnal Ilmiah Sains dan Teknologi (SAINTEK) Jurnal Mnemonic JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Sistem Komputer & Kecerdasan Buatan JISA (Jurnal Informatika dan Sains) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal E-Komtek Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Sistem Informasi dan Sains Teknologi Journal of Computer Networks, Architecture and High Performance Computing Idealis : Indonesia Journal Information System Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) IJISTECH RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Responsif : Riset Sains dan Informatika Jurnal Abdi Mas Adzkia Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Information Technology (JIfoTech) Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Sains Teknologi dan Sistem Informasi Journal of Dinda : Data Science, Information Technology, and Data Analytics JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal IPTEK Bagi Masyarakat Bulletin of Information Technology (BIT) EXPLORER Jurnal Sistem Informasi Bisnis (JUNSIBI) Journal of Computer Science and Informatics Engineering Green Intelligent Systems and Applications Journal Of Human And Education (JAHE) sudo Jurnal Teknik Informatika Hello World Journal of Information Systems and Technology Research Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Balance : Jurnal Akuntansi dan Manajemen Jurnal Algoritma Jurnal Sains dan Teknologi Sistem Pendukung Keputusan dengan Aplikasi Journal of Computers and Digital Business Blend Sains Jurnal Teknik International Conference on Sciences Development and Technology Inspiration: Jurnal Teknologi Informasi dan Komunikasi Journal Of Informatics And Busisnes Jurnal INFOTEL Jurnal Sistem Informasi dan Manajemen Jurnal Ilmu Komputer dan Sistem Informasi Bigint Computing Journal Jurnal Accounting Information System (AIMS) Jurnal Garuda Pengabdian Kepada Masyarakat Jurnal Ilmiah Sistem Informasi INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Muhammad Dedi Irawan
Universitas Islam Negeri Sumatera Utara
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IMPLEMENTATION OF TOPSIS METHOD IN SUPPLIER SELECTION SYSTEM WITH RAPID APPLICATION DEVELOPMENT Ikhwanda Buyung Mangunsong; Muhammad Dedi Irawan
IDEALIS : InDonEsiA journaL Information System Vol. 8 No. 1 (2025): Jurnal IDEALIS Januari 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v8i1.3361

Abstract

Technology in creating web-based information systems is developing very quickly. The ease of accessing informationand communicating has had a major impact on industry, pushing it towards digital systems. CV. Berjaya Jaya Abadi, acontractor company which operates in the field of providing various types of paint, faces the challenge of selecting the bestsupplier among several alternatives so as to enable a system development process that is faster, iterative, and focuses on userneeds, resulting in optimal and efficient solutions. in supplier selection. This research aims to build and develop a system basedon previous research using Rapid Application Development (RAD). This research also updates the criteria and adds sub-criteriato maximize the effectiveness of the TOPSIS method in the supplier selection process. By adopting the TOPSIS system, companiescan make more effective, efficient and data-driven decisions, which ultimately helps improve competitiveness and performance.This system is designed to simplify decision making in selecting suppliers by considering six main criteria, namely Delivery,Performance History, Price, Quality, Loyalty and Service. This research shows that the system developed can provide supplierrankings based on predetermined criteria, so that it can help companies choose suppliers that best suit their needs. The researchresults show th
Fish Marketing Decision Support System at Belawan Fishing Port with AHP and PROMETHEE Method Wildani Wildani; Muhammad Dedi Irawan
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 15, No 2 (2025): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v15i2.4576

Abstract

This study aims to develop a fish marketing decision support system at Belawan Fishing Port to assist fish warehouses or markets in determining the vessels with the best fish marketing performance. Once the results are obtained, port authorities can evaluate vessels with low marketing results to improve their marketing strategies in the future. The methods used in this study are the Analytical Hierarchy Process (AHP) and PROMETHEE, which are applied to evaluate and rank marketing alternatives based on multiple criteria such as market demand, price, sales volume, sales targets, and sales turnover. The integration of these two methods allows for a more structured and objective decision-making process. The results of the study show that the application of the AHP and PROMETHEE methods can effectively assist in determining optimal marketing decisions by comprehensively considering the factors that influence fish marketing performance. This system also increases the accuracy of decision making by up to 90% compared to conventional methods that rely solely on experience. Overall, the developed system is expected to improve the efficiency of fish marketing and support the welfare of fishermen in Belawan Fishing Port.
Implementasi Metode SMARTER dan TOPSIS Pada Sistem Pendukung Keputusan Pemilihan Bibit Cabai Merah Yang Unggul Putri Sri Rezeki; Muhammad Dedi Irawan; Fathiya Hasyifah Sibarani
JURNAL ILMIAH INFORMATIKA Vol 14 No 01 (2026): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v14i01.10700

Abstract

The productivity of red chili cultivation highly depends on the quality of seeds used by farmers. However, identifying superior red chili seeds is often difficult, leading to low yields and even crop failure. This study aims to design a Decision Support System (DSS) for selecting superior red chili seeds using the SMARTER (Simple Multi Attribute Rating Technique Exploiting Rank) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods. The SMARTER method is applied to determine the weight of each criterion based on the Rank Order Centroid (ROC), while the TOPSIS method is used to rank alternative seed varieties. Seven criteria were considered: price, disease resistance, harvest time, fruit length, fruit weight, number of branches, and yield potential. The system was developed using a waterfall model and implemented in a web-based application with PHP and MySQL. The results showed that the best-ranked alternative was the Tangguh F1 variety with a preference value of 0.7429, followed by Kastilo and TM999. The developed DSS provides structured, efficient, and transparent recommendations, thus helping farmers and agricultural agencies in decision-making for selecting superior red chili seeds.
SISTEM INFORMASI MONITORING PETUGAS BIDANG LALU LINTAS MENGGUNAKAN METODE HAVERSHINE FORMULA BERBASIS ANDROID Uci Maharani; Samsudin Samsudin; Muhammad Dedi Irawan
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol. 9 No. 1 (2025)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v9i1.4341

Abstract

Perkembangan teknologi informasi yang pesat telah berdampak signifikan pada lembaga pemerintah, termasuk Departemen Perhubungan. Divisi lalu lintas menghadapi tantangan meliputi absensi petugas lalu lintas yang masih manual, sulitnya pemantauan lokasi karena jarak penjagaan yang berjauhan, serta laporan kegiatan yang tidak terstruktur akibat pengiriman melalui grup WhatsApp. Selain itu, rekapitulasi data yang dilakukan secara manual menghambat kelancaran kerja dan berisiko menimbulkan kesalahan pencatatan. Untuk mengatasi permasalahan ini, diperlukan sistem informasi monitoring berbasis Android dengan algoritma Haversine Formula untuk mempermudah absensi, pemantauan lokasi, dan pengelolaan laporan secara lebih terstruktur. Dalam mengembangkan sistem yang dibangun digunakan metode RAD. Dukungan dari Algoritma Haversine Formula digunakan untuk menghitung jarak pengabsenan petugas. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan dapat memberikan kelancaran dalam proses absensi, monitoring lokasi, serta pengelolaan laporan kegiatan petugas secara real-time.
Decision Support System for Smartphone Recommendations Based on Consumer Purchasing Power Using the AHP-PROMETHEE Method Ary Santri Yuanda; Muhammad Dedi Irawan
Explorer Vol 6 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v6i2.2793

Abstract

The selection of smartphones that match consumer preferences and purchasing power is often challenging due to the large number of alternatives with varying specifications and prices. This research aims to develop a Decision Support System for smartphone recommendations using the Analytical Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) methods at R Ponsel Store. The AHP method was used to determine the priority weights of criteria based on the results of consumer preference questionnaires, while the PROMETHEE method was applied to rank smartphone alternatives. Data collection was conducted through observation, interviews, and literature studies. The criteria used include price, RAM, ROM, camera, processor, battery, and other supporting specifications. The results showed that the Consistency Ratio (CR) value was 0.035, indicating that the criteria comparison matrix was consistent. Based on the ranking results using the PROMETHEE method, the Redmi Note 14 8/256 achieved the highest net flow value of 0.042, making it the best alternative. The developed system is capable of assisting consumers in obtaining smartphone recommendations that better match their preferences and purchasing power
PENERAPAN METODE FORWARD CHAINING DAN DEMPSTER SHAFER PADA SISTEM PAKAR DIAGNOSIS KANKER LEHER RAHIM Suendri Suendri; Muhammad Dedi Irawan; Nurul Wahdina ‘Ain Siregar
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 7 No. 2 (2024): May 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i2.1874

Abstract

Dalam bidang kesehatan sudah sering dijumpai peralatan yang digunakan untuk pendeteksi kesehatan dan jenis penyakit dalam tubuh. Oleh karena itu, peralatan yang digunakan umumnya sudah mengikuti perkembangan teknologi. Saat ini di indonesia minim dengan pengetahuan dan pemantauan dini, sehingga banyak wanita di indonesia yang terkena kanker leher rahim diantaranya mulai dari usia 15-24 tahun (0,67%), usia 25-34 tahun (11,25%), usia 35-44 tahun (31,40%) dan yang paling sering ditemukan yaitu pada usia 45-54 tahun (42,40%). Kanker serviks banyak ditemukan sudah dalam keadaan stadium lanjut mencapai 80% diantaranya stadium I ( 19,1%), stadium II (32,0%), stadium III (40,7%), stadium IV (7,4%) dan tidak diketahui sebanyak (0,7%). Sehingga banyak menyebabkan kematian. Oleh karena itu, dibangunlah sebuah aplikasi sistem pakar untuk mendiagnosis kanker leher rahim, yang dapat digunakan untuk mempelajari tentang kanker leher rahim berdasarkan pemeriksaan fisik. Dengan menggunakan metode kombinasi yaitu Metode Forward Chaining dan metode Dempster Shafer. Penerapan sistem pakar ini dapat diterapkan sesuai dengan yang diharapkan, apabila aplikasi ini dapat membantu masyarakat umum dalam melakukan deteksi dini, pencegahan dan pengobatan penyakit kanker leher rahim serta sebagai sarana untuk menerapkan kecerdasan seorang pakar dalam analisis dan pendeteksian kanker leher rahim.
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.
IMPLEMENTASI CROSS SELLING PADA SISTEM E-COMMERCE BERBASIS WEB Taufiqurrahman Taufiqurrahman; Muhammad Dedi Irawan; Heri Santoso
Jurnal Sistem Informasi dan Sains Teknologi Vol 8, No 2 (2026): Jurnal Sistem Informasi dan Sains Teknologi
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/sistek.v8i2.2908

Abstract

Perkembangan informasi teknologi dalam beberapa dekade terakhir telah membawa dampak nyata terhadap cara orang menjalankan bisnis. Internet yang mulai berkembang pesat sejak era 1990-an, membuka peluang bagi pelaku usaha untuk menjangkau pasar yang lebih luas tanpa terkendala jarak dan waktu. Salah satu wujud paling konkret dari perkembangan ini adalah munculnya perdagangan elektronik atau e - commerce , yang kini tidak hanya dimanfaatkan oleh perusahaan besar, tetapi juga oleh usaha kecil dan menengah sebagai strategi untuk memperluas jangkauan pemasaran dan meningkatkan penjualan . Dalam penelitian ini dibuat aplikasi e-commerce berbasis web dengan menggunakan metode crossselling adalah strategi pemasaran yang secara otomatis merekomendasikan produk tambahan yang relevan kepada pelanggan berdasarkan produk yang sedang mereka lihat atau beli. Potensi signifikan metode cross-selling dalam meningkatkan nilai transaksi rata-rata per pelanggan merupakan alasan utama penggunaan metode ini dalam penelitian ini.
Genetic algorithm-optimized BERTopic with SHAP explainability for institutional research trend analysis Muhammad Dedi Irawan; Yustria Handika Siregar; Hewa Majeed Zangana; Ali Ikhwan
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i4.pp3818-3826

Abstract

Institutional research grant titles constitute short-text grey literature characterized by heterogeneous semantic structures, making topic identification and research trend analysis challenging. This study proposes an integrated bidirectional encoder representation from transformers-based topic modeling (BERTopic) framework combining genetic algorithm (GA)-based hyperparameter optimization and Shapley additive explanations (SHAP)-based interpretability to improve semantic topic quality and model transparency. GA was applied to optimize dimensionality-reduction and density-based clustering parameters, while SHAP was used to estimate the contribution of bigram features to the surrogate classifier’s predictions of BERTopic-generated topic labels. Experimental results demonstrated that the proposed framework improved topic coherence from 0.367 to 0.543 while reducing the outlier ratio from 21.12% to 13.55%. In addition, the number of topics decreased from 46 to 10, resulting in a more compact and less fragmented topic structure. The resulting topic structure revealed dominant themes related to higher education, religious moderation, Islamic counseling, halal tourism, and sharia banking. Overall, the proposed framework contributes to the development of more coherent, interpretable, and semantically robust topic modeling for institutional short-text grey literature analysis.
Pengembangan Aplikasi E-Learning Berbasis Mobile dengan Model Agile untuk Meningkatkan Pembelajaran pada Sekolah Menengah Atas Nadila Alya Rahmah; Muhammad Dedi Irawan
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 11, No 2 (2026): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v11i2.986

Abstract

Perkembangan teknologi informasi mendorong pemanfaatan teknologi mobile dalam proses pembelajaran di Sekolah Menengah Atas (SMA). Penelitian ini bertujuan mengembangkan aplikasi e-learning berbasis mobile dengan model Agile sebagai media pembelajaran yang fleksibel dan efektif. Metode yang digunakan adalah Research and Development (R&D), sedangkan pengembangan sistem menerapkan model Agile secara iteratif melalui proses evaluasi dan perbaikan berdasarkan kebutuhan pengguna. Pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi. Aplikasi yang dikembangkan menyediakan fitur materi, tugas, pengumpulan tugas, kuis, serta informasi pembelajaran. Aplikasi ini diharapkan dapat memudahkan siswa mengakses pembelajaran dan membantu guru dalam mengelola kegiatan pembelajaran secara efektif dan efisien
Co-Authors Abdillah, Muhammad Imam Adam Syahputra Ade Risky Pradika Adi Widarma Adi Widarma Adinda, Sity Tree Adnan Buyung Nasution Afridayani Afridayani Agung Hazarin Aulia Chaniago Ahmad Hariandy Harahap Ahmad Raihan Azizi Ahyat Perdana Utama Aini, Nuriah Ali Akbar Lubis Ali Ikhwan Ali Ikhwan Ali Ikhwan Aliya Tasya, Nabilah Alpath Abimanyu Alya Seraya AMALIA, NOVITA Anggika Wardani Anggreini Aninda Muliani Annisa Zafhitri Nasution Aprilia, Rima Arafah, Maharani Arifianda, Reza Rizki Ariyanto, Arya Armansyah, Armansyah Armayani, Cici Ary Santri Yuanda Aryo Pratama Atika Sari Br Pa Aulansari, Suwinda Azrah Cipta Amandha Barus, Nurizni Beni Frandian Bi Rahmani , Nur Ahmadi Dariana Tanjung Diah Sawitri Diana, Dwi Rahmadani Ivan Dimas Ibnu Muthi Dina Amalia Putri Lubis Dinda Permana Srg, Dinda Dita Indah Pratama Putri Dita Sucinta Sembiring Dwi Saphira Dwi Yanti Laily Dwika Sherliyanda Eka Lestari Eka, Muhammad Eli Rosmita Ritonga Ellysa Syafitri Evan Alfian Syahnur Fajri Nurhidayahti Fajri Nurhidayahti Fakhriza, M Fakhriza, M. FATHIYA HASYIFAH SIBARANI Fatyana, Nadya Fauzi, Reza Dwi Fazira Syafitri Hutasuhut H. Aly, Moustafa Habib Asy Muhyi Habib, Maulana Hafizd, Sefian Habil Hanafiah Daniel Nawar Harahap, Frans Adetya Harahap, Imam Zarkasih Harahap, Putri Sari Febrianty Harold Situmorang Hasibuan, Aidillia Adha Hasibuan, Wahyu Hasypa Aulia Helmi Fauzi Siregar Heri Santoso Heri Santoso Heri Santoso Herviana Herviana Hewa Majeed Zangana Hibrizi, Muhammad Naufal Fathin Ihsan Saraini Ikhwanda Buyung Mangunsong Ilham Prabowo Ilka Zufria Imam Ahmad Imam Zarkasih Harahap Imanita, Yulia Indah Pramita Indira Febiana Ira Murni Irawati, Novica Irma Listiani Juliani, Riri Kartika Dara Ayu Khairina, Nadia Luthfiah Khairrun Nisa Khairul Hafidz Koto, Muhammad Hendrik Laila Hasni Laila Turrubiah Ila Laura Melsya Laylan Syafina Lesmana, Reza Kurnia Liana, Tika Lily Hidayati Luh Made Indah Sri Handari Adiputra M. Fakhriza M. Fakhriza M. Fakhriza M. Fakhriza M. Zulfadli Azmi Mahzuro Supianti P Manik, Hazizah W.S Maulana, Dimas Krisna Maurico Liang Melsya, Laura Merliana Putri Hasibuan Mia Nurjannah Muhamad Alda Muhammad Alda Muhammad Alfarisi Muhammad Artha Ardika Muhammad Eka Muhammad Fakhriza Muhammad Fakhriza, Muhammad Muhammad Hendrik Koto Muhammad Imbalo Zaki Hasibuan Muhammad Khairi Ikhsan Nasution Muhammad Khairul Amri Muhammad Khoir Al Alim Manurung Muhammad Rezeki Fasya Muhammad Siddik Hasibuan Muhammad Wahyu Hidayah Muhammad Yasin Simargolang Muklas Adi Putra Nabila Salsabila Nadila Alya Nadila Alya Rahmah Naila Umniati Naryama Harahap Nasution, Adnan Buyung Nasution, Muhammad Irwan Padli Nasution, Ratna Sabrina Nasution, Rukiah Niti Ravika Nasution Niti Ravika Nasution Novita Amalia Nst, Muhammad Taufik Akbar Nuha, Salsabila Isnain Nur Jamiyyah Nuri Aslami Nurkosrina Aisah Nurlangga, Rama Nopan Nurul Asyilah Nurul Wahdina ‘Ain Siregar Nurul Wahdina ‘Ain Siregar Okta Yuliardi Oris Krianto Sulaiman Pane, Ogie Ariansah Pasaribu, Afifah Balqis Pauji Wibowo Pinka, Maura Morena Prabowo, Eko Heri Pratama, Aryo Pratama, Dian Agus Pulungan, Rudi Ismail Puspa Ramadhani Putri Febriana Aulia Putri Ramadhani Putri Ratricia Putri Sari Febrianty Harahap Putri Sri Rezeki Raflikha Aliana A. Raof Raflikha Aliana A. Raof Rahma Azizah Lubis Rahman, Fazlur Rahmat Juniarif Zendrato Raissa Amanda Putri Ramadan, Chafiz Ranis Hsb Rasyad, Ismi Hamidah Raynaldi, Ahmad Razvan Serban Relita Theresia Reza Rizki Arifianda Rianto Sitanggang Rika Pirmasari Purba Rina Sari, Diah Ayu Risdani Muarif Risdayanti, Monica Rissa Azzahra Damanik Ritonga, Nola Putri Rizky Akbar Siregar Rizky Akbar Situmeang Rizky Khairuna Roy Francis Navea Safitri, Mayang Sahputra, Arfi Andi Samsudin Samsudin Samsudin, Samsudin Samsul Bahri Siagian Sandy Akbar Siregar Sanjaya, Bima Saputri, Indah Sari, Anggy Permata Selli Aprilla Simargolang Septiana Dewi Andriana, Septiana Dewi Seraya, Alya Shinta Fadhillah Silvia Paramita Simargolang, Muhammad Yasin Siregar, Muzakkir Rizky Siska Mayasari Rambe Sity Tree Adinda Tambunan Suendri Suendri Suendri, Suendri Suwinda Aulansari Sweety, Miana Syahputra, Adam Syahputra, Muhammad Zarwin T Sabrina Tasya Annisa Simatupang Taufiqurrahman Taufiqurrahman Tiara Arzhety Lubis Tika Liana Triase Triase Triase Triase Triase, Triase Triska Andini Uci Maharani Ulhaque, Nida Umniati, Naila Utama, Huzefah Valerry, Adele WidyaWahyu Cahyani Wildani Wildani Wisaksono, Aizat Yahfizham Yahfizham Yudhistira, Yudhistira Yun Betry Siagian Yustria Handika Siregar Yusuf Hanifiah Yusuf Ramadhan Nasution Zakiyah Khalilah Daulay Zarkasih Harahap, Imam