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All Journal 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) 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 Journal of Computer Networks, Architecture and High Performance Computing Idealis : Indonesia Journal Information System Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) 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) 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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Bitcoin Price Forecasting Using Random Forest and On‑Chain Data Samsudin, Samsudin; Irawan, Muhammad Dedi; Nasution, Muhammad Irwan Padli; Putri, Raissa Amanda
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.
Sistem Pendukung Keputusan Penerima Bantuan Program Bina Lingkungan Menggunakan Kombinasi Metode SAW dan SMART Risdayanti, Monica; Irawan, Muhammad Dedi
Jurnal Accounting Information System (AIMS) Vol. 8 No. 2 (2025)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v8i2.1645

Abstract

Telkom Regional 1 Sumatra, as a unit of PT. Telkom Indonesia (Persero) Tbk—a state-owned enterprise (SOE)—provides a Community Development Program aimed at improving the welfare of the community. However, the selection process for aid recipients faces obstacles due to the large number of prospective recipients and the variety of their conditions. This study aims to design a Decision Support System (DSS) to determine the recipients of the Community Development Program assistance by combining two methods, namely SAW and SMART. The SAW method is used to calculate the total score of each prospective recipient, while the SMART method serves to determine the weight and ranking of attributes that are considered important in determining the recipients of assistance. With the combination of these two methods, the system can assess and select prospective recipients who best meet the established criteria. This system was developed using a waterfall model, which includes the stages of analysis, design, implementation, and testing. The results of this research are in the form of a DSS prototype that is expected to improve efficiency and accuracy in the process of determining aid recipients, thereby supporting Telkom Regional 1 Sumatra in distributing aid more fairly and effectively.
Penerapan Metode WP dan TOPSIS untuk Menentukan Unit Villa Sewa maupun Beli Berdasarkan Preferensi Pelanggan Sahputra, Arfi Andi; Irawan, Muhammad Dedi
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 10, No 3 (2025): September 2025
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v10i3.4851

Abstract

The rapid growth of tourism in North Sumatra has increased the demand for accommodations, particularly villas. The abundance of villa choices often causes difficulties for tourists in selecting the most suitable option according to their preferences. This issue highlights the need for a Decision Support System (DSS) that can assist both customers and providers in making structured and objective decisions. This study aims to design a DSS for villa selection by applying the Weight Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The research steps include determining criteria, assigning weights, calculating preference values, and testing the results using both methods. WP recommended Villa Bukit Indah as the best option with a score of 0.2154, while TOPSIS identified Villa Block F–G as the best alternative with a score of 0.5811. Through the aggregation process, the final result showed that Villa Block F–G ranked first among five alternatives with the highest average score of 0.39145. The findings indicate that WP and TOPSIS can be applied complementarily to produce more accurate accommodation recommendations. Therefore, the proposed DSS supports companies in marketing strategies while helping customers choose villas that match their needs and preferences.Keywords - Customer Preference, Decision Support System, TOPSIS, Villa, Weight Product.
Cost Decision Making Using Activity-Based Costing Approach in Digital Information Systems Harahap, Imam Zarkasih; Zarkasih Harahap, Imam; Irawan, Muhammad Dedi; Valerry, Adele
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/63qq9515

Abstract

This study aims to develop and apply the Activity-Based Costing (ABC) method in determining overhead costs in the rice processing industry at MGS Tanjung Selamat Rice Mill. Conventional methods often cause distortions in the allocation of overhead costs, which have an impact on the inaccuracy in the calculation of the cost of goods manufactured (COGS). To overcome this problem, this research uses a Research and Development (R&D) approach with a system development model based on the Waterfall method. Data were collected through observations, interviews, and documentation studies, which were then analyzed to identify the main production activities and the most influential cost drivers. The results showed that the ABC method was able to improve the accuracy of overhead cost calculation, optimize cost allocation to each production activity, and support more strategic business decision-making. In addition, this research produced a software-based system to facilitate the implementation of the ABC method in the company. With the implementation of ABC, MGS Tanjung Selamat Rice Mill can set a more competitive selling price and identify less efficient activities to be improved.
Penerapan Metode AHP Dan MFEP Dalam Menentukan Penerima Bantuan Benih Padi Nur Jamiyyah; M. Fakhriza; Muhammad Dedi Irawan
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 2 (2025): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i2.10066

Abstract

Penyaluran bantuan benih padi merupakan salah satu program pemerintah dalam meningkatkan produktivitas pertanian dan ketahanan pangan. Namun, proses seleksi penerima bantuan sering mengalami kendala karena keterbatasan kuota dan banyaknya kelompok tani yang mengajukan permohonan. Penelitian ini bertujuan untuk membangun sistem pendukung keputusan (SPK) yang dapat membantu menentukan penerima bantuan secara objektif dan tepat sasaran. Metode yang digunakan adalah kombinasi Analytical Hierarchy Process (AHP) untuk menentukan bobot setiap kriteria, dan Multi Factor Evaluation Process (MFEP) untuk menghitung skor dan peringkat setiap alternatif. Kriteria yang digunakan meliputi terdaftar di simluhtan, mengajukan proposal, produktivitas lahan, luas lahan, dan status penerimaan bantuan sebelumnya. Hasil pengujian menunjukkan bahwa sistem mampu memberikan rekomendasi yang sesuai dengan kebijakan penyaluran bantuan. Sistem ini dibangun menggunakan bahasa pemrograman PHP dan basis data MySQL. Implementasi sistem ini diharapkan dapat meningkatkan transparansi, efisiensi, dan keadilan dalam proses pemberian bantuan benih padi.
Implementasi Metode Performance-Based Asset Management Dalam Sistem Informasi Manajemen Aset Sekolah (SIMAS) Ritonga, Nola Putri; Irawan, Muhammad Dedi
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4974

Abstract

School assets play a vital role in supporting learning activities and administrative operations, yet many schools still manage assets manually, leading to data inaccuracy, difficulty in monitoring conditions, and inefficiency in reporting. This study aims to design and implement a School Asset Management Information System (SIMAS) using the Performance-Based Asset Management (PBAM) method to address these challenges. The research applies a qualitative approach through observation, interviews, and literature study to identify asset management problems in schools. The system was developed using the Waterfall model, consisting of analysis, design, implementation, testing, and documentation. PBAM principles were integrated to support planning, maintenance, monitoring, and continuous improvement of asset utilization. The results demonstrate that SIMAS provides structured asset registration, facilitates real-time monitoring, generates performance-based reports, and issues automatic notifications for urgent maintenance. This contributes to improving decision-making, enhancing efficiency in school asset management, and ensuring long-term sustainability of educational resources. The findings highlight that the application of PBAM in the education sector, particularly in schools, provides a novel contribution compared to previous studies that mainly focused on asset recording and depreciation methods
Sistem Penjadwalan Bimbingan Konseling dengan Menerapkan Algoritma Shortest Job First Fatyana, Nadya; Irawan, Muhammad Dedi; Nasution, Adnan Buyung
TIN: Terapan Informatika Nusantara Vol 4 No 10 (2024): March 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v4i10.5024

Abstract

Counseling guidance is a place for students to consult in overcoming problems and developing the potential of students. In order for counseling guidance to run effectively, scheduling is needed. The preparation of counseling guidance schedules takes a long time so that it causes increasingly long queues. In this study, the method used in research is Research and Development and the system development method uses Rapid Application Development. A website-based scheduling system that uses the Shortest Job First algorithm was developed to shorten long queues. Average waiting time can be reduced by finding the shortest job first, which solves the smallest average waiting time for various operations. By implementing Shortest Job First it can produce a good counseling schedule with a smaller waiting time thus reducing the level of long queues. The accuracy rate of this system is 98.18% accurate.
IMPLEMENTASI SISTEM INFORMASI GEOGRAFIS UNTUK PEMANTAUAN PENYEBARAN PENYAKIT DI KABUPATEN MANDAILING NATAL Aini, Nuriah; Ikhwan, Ali; Irawan, Muhammad Dedi
Jurnal Sistem Informasi Bisnis (JUNSIBI) Vol. 5 No. 2 (2024): Jurnal Sistem Informasi Bisnis (JUNSIBI)
Publisher : Program Studi Sistem Informasi Institut Bisnis dan Informatika (IBI) Kosgoro 1957

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55122/junsibi.v5i2.1505

Abstract

Penyakit adalah kegiatan abnormal dimana tubuh ataupun pikiran mengalami ketidaknyamanan atau disfungsi terhadap orang yang dipengaruhinya. Banyaknya data penyakit pada sebuah instansi yaitu Dinas Kesehatan Kabupaten Mandailing Natal berdasarkan wilayah yang luas menyebabkan instansi tersebut sulit untuk memonitoring daerah penyebaran penyakit. Oleh karena itu diperlukan sebuah sistem informasi monitoring yang dapat memantau dan memberikan informasi mengenai penyebaran penyakit di daerah Mandailing Natal. Penelitian ini bertujuan untuk membangun sistem informasi monitoring penyebaran penyakit berbasis web yang dilengkapi dengan pemetaan lokasi penyebaran penyakit. Adanya sistem informasi monitoring penyebaran penyakit ini diharapkan dapat memberikan informasi mengenai penyebaran penyakit sehingga dinas kesehatan dapat melaksanakan sosialisasi dan penanganan serta evaluasi terhadap penyakit tersebut.
Implementasi Keamanan di Cloud Storage Menggunakan Algoritma Key Public Berdasarkan Block Cipher Manik, Hazizah W.S; Utama, Huzefah; Irawan, Muhammad Dedi; Hafizd, Sefian Habil
Jurnal Sains dan Teknologi (JSIT) Vol. 3 No. 1 (2023): January-April
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v3i1.500

Abstract

Cloud computing is a new era of the modern world. It is an emerging paradigm and has become one of the hottest research to date, because of its ability to reduce the costs associated with computing. The main issues associated with cloud computing are data privacy, security and authenticity. The aim of the researcher is to find out how the model of cloud data storage and data security of cloud computing systems. In this research, researchers propose an efficient method for providing data storage. Security in cloud computing uses a new public key algorithm based on a linear block cipher. This algorithm has been proven by previous studies such as Data encryption, E-commerce, Digital signature. In research, researchers apply the same algorithm, namely cloud computing. In this algorithm several important security services are included such as key generation, encryption and decryption provided in the cloud computing system. The scope of this research is to solve security problems in cloud provisioning and cloud consumers by using new cryptographic methods.
Application Of Expert System In Determining Diseases In Potato Plants Ikhwan, Ali; Bi Rahmani , Nur Ahmadi; H. Aly, Moustafa; Aslami, Nuri; Dedi Irawan, Muhammad; Ahmad, Imam
Indonesian Journal of Information Systems Vol. 7 No. 2 (2025): February 2025
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v7i2.10213

Abstract

This research aims to develop an expert system in diagnosing diseases in potato plants using the Case Based Reasoning (CBR) method approach combined with the K-Nearest Neighbor (K-NN) algorithm. The system is designed to help farmers identify the type of disease based on the symptoms that appear, as well as provide relevant solutions to increase crop productivity. In previous research, the CBR method showed a limited accuracy rate of 74% because it only relied on one algorithm. Through the application of two methods in data analysis, namely CBR and K-NN, this study succeeded in increasing the diagnosis accuracy to be higher than the previous approach of 80%. The system is implemented in the form of a web-based application that is easily accessible by farmers. The results show that the integration of these two methods provides more optimal, effective, and accurate results in detecting potato plant diseases based on symptom data. The findings are expected to contribute significantly to the development of agricultural technology, especially in improving the harvest success of potato farmers in Indonesia.
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 Aini, Nuriah Ali Akbar Lubis Ali Ikhwan Ali Ikhwan Ali Ikhwan Aliya Tasya, Nabilah Alpath Abimanyu Alya Seraya Alya, Nadila AMALIA, NOVITA Anggika Wardani Anggreini Aninda Muliani Aprilia, Rima Arafah, Maharani Arifianda, Reza Rizki Ariyanto, Arya Armansyah, Armansyah Armayani, Cici Aryo Pratama Atika Sari Br Pa Aulansari, Suwinda Barus, Nurizni Beni Frandian Bi Rahmani , Nur Ahmadi Cipta Amandha, Azrah Diah Sawitri Diana, Dwi Rahmadani Ivan Dimas Ibnu Muthi Dina Amalia Putri Lubis Dinda Permana Srg, Dinda Dita Indah Pratama Putri 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. Fasya, Muhammad Rezeki Fatyana, Nadya Fauzi, Reza Dwi Fazira Syafitri Hutasuhut H. Aly, Moustafa Habib Asy Muhyi Habib, Maulana Hafidz, Khairul Hafizd, Sefian Habil Harahap, Frans Adetya Harahap, Imam Zarkasih Harahap, Putri Sari Febrianty Harold Situmorang Hasibuan, Aidillia Adha Hasibuan, Muhammad Imbalo Zaki Hasibuan, Wahyu Hasypa Aulia Helmi Fauzi Siregar Heri Santoso Heri Santoso Heri Santoso Herviana Herviana Hibrizi, Muhammad Naufal Fathin Ihsan Saraini Ilham Prabowo Ilka Zufria Imam Ahmad Imanita, Yulia Indah Pramita Indira Febiana Ira Murni Irawati, Novica Juliani, Riri Kartika Dara Ayu Khairina, Nadia Luthfiah Khairrun Nisa Koto, Muhammad Hendrik Laila Hasni Laila Turrubiah Ila Laylan Syafina Lesmana, Reza Kurnia Liana, Tika Lily Hidayati Listiani, Irma Luh Made Indah Sri Handari Adiputra M. Fakhriza M. Fakhriza M. Fakhriza M. Zulfadli Azmi Maharani, Uci Mangunsong, Ikhwanda Buyung 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 Fakhriza Muhammad Fakhriza, Muhammad Muhammad Hendrik Koto Muhammad Khairi Ikhsan Nasution Muhammad Khoir Al Alim Manurung Muhammad Siddik Hasibuan Muhammad Wahyu Hidayah Muhammad Yasin Simargolang Muklas Adi Putra Nabila Salsabila Naila Umniati Naryama Harahap Nasution, Adnan Buyung Nasution, Muhammad Irwan Padli Nasution, Ratna Sabrina Nasution, Rukiah Navea, Roy Francis Nawar, Hanafiah Daniel 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 Okta Yuliardi Oris Krianto Sulaiman P, Mahzuro Supianti Pane, Ogie Ariansah Pasaribu, Afifah Balqis Pinka, Maura Morena Prabowo, Eko Heri Pratama, Aryo Pratama, Dian Agus Pulungan, Rudi Ismail Puspa Ramadhani Putri Febriana Aulia Putri Ramadhani Putri Ratricia Putri, Sabrina 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 Rezeki, Putri Sri 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 Safitri, Mayang Sahputra, Arfi Andi Samsudin Samsudin, Samsudin Samsul Bahri Siagian Sandy Akbar Siregar Sanjaya, Bima Saputri, Indah Sari, Anggy Permata Selli Aprilla Simargolang Sembiring, Dita Sucinta Septiana Dewi Andriana, Septiana Dewi Seraya, Alya Shinta Fadhillah Sibarani, Fathiya Hasyifah Silvia Paramita Simargolang, Muhammad Yasin Siregar, Muzakkir Rizky Siska Mayasari Rambe Sity Tree Adinda Tambunan Suendri Suendri Suendri Suendri, Suendri Suendri, Suendri Suwinda Aulansari Sweety, Miana Syahputra, Adam Syahputra, Muhammad Zarwin Tasya Annisa Simatupang Tiara Arzhety Lubis Tika Liana Triase Triase Triase Triase Triase, Triase Triska Andini Ulhaque, Nida Umniati, Naila Utama, Ahyat Perdana Utama, Huzefah Valerry, Adele WidyaWahyu Cahyani Wildani, Wildani Wisaksono, Aizat Yahfizham Yahfizham Yuanda, Ary Santri Yudhistira, Yudhistira Yun Betry Siagian Yustria Handika Siregar Yusuf Hanifiah Zakiyah Khalilah Daulay Zarkasih Harahap, Imam