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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
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Penerapan Complex Proportional Assessment Dalam Pemilihan Merek Parfum Berdasarkan Kepribadian Imanita, Yulia; Dedi Irawan, Muhammad
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 8 No. 3 (2025): Volume VIII - Nomor 3 - Mei 2025
Publisher : Teknik Informatika, Sistem Informasi dan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/siskom-kb.v8i3.819

Abstract

Penelitian ini membahas penerapan metode Complex Proportional Assessment (COPRAS) dalam memilih merek parfum berdasarkan kepribadian konsumen. Parfum sebagai elemen penting dalam kehidupan modern, dipilih dengan mempertimbangkan berbagai kriteria seperti kecocokan kepribadian, aroma, daya tahan, harga, dan kualitas bahan. Penelitian ini mengidentifikasi lima tipe kepribadian utama: ekstrovert, introvert, elegan, romantis, dan petualang yang cenderung memilih parfum sesuai dengan karakteristik masing-masing. Temuan penelitian menunjukkan bahwa metode ini efektif dalam mengevaluasi dan menetapkan peringkat alternatif terbaik dengan menghitung utilitas relatif. Dalam penelitian ini, merek parfum Braven dengan karakteristik ekstrovert menempati peringkat pertama dengan nilai 100, diikuti oleh Octarine (ekstrovert) dengan nilai 88,33 dan Fresh dengan nilai 81,77 (introvert). Metode COPRAS terbukti unggul dalam mengintegrasikan berbagai kriteria kompleks dan memberikan hasil yang lebih komprehensif dibanding metode lainnya. Kesimpulan menunjukkan bahwa penggunaan metode ini mempermudah konsumen untuk memilih parfum yang sesuai dengan kepribadian mereka, serta meningkatkan akurasi dan objektivitas dalam proses pengambilan keputusan.
Penerapan Metode EOQ Pada Sistem Informasi Manajemen Stok Bahan Baku Ayam Broiler Berbasis Web Putri, Sabrina; Irawan, Muhammad Dedi; Santoso, Heri
Journal of Students‘ Research in Computer Science Vol. 6 No. 1 (2025): Mei 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/w4gdt918

Abstract

The Economic Order Quantity (EOQ) method is an important inventory management to determine the optimal order quantity to minimize total inventory costs, including ordering costs, storage costs, and stockouts. Companies use technology to make data management easier. With the increasing demand for chicken meat, efficient raw material management is very important to reduce production costs and maintain chicken health. This study found problems faced by companies as a result of manual recording systems that are prone to errors and data loss. The study aims to improve the accuracy of feed management, reduce waste, and ensure proper nutrition for broiler chickens through the implementation of this system. The results of the implementation of this system show improvements in raw material efficiency analysis and stock monitoring. In addition to helping improve the productivity and sustainability of the broiler chicken farming industry, this study offers solutions for companies to overcome current management problems. The system uses the PHP programming language, the codeigniter framework and MySQL as a database.
Sistem Informasi Monitoring Penyewa Kios Pasar Inpres Berbasis Web Menggunakan Algoritma Bubble Sort Siregar, Muzakkir Rizky; Irawan , Muhammad Dedi
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 03 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i03.1608

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem informasi berbasis web berguna memantau penyewa kios di Pasar Inpres, Kabupaten Labuhanbaatu Selatan, Kota Pinang. Sistem ini dikembangkan untuk mengatasi berbagai permasalahan dalam pengelolaan pasar yang masih dilakukan secara manual, seperti pencatatan data kios, pemantauan kebersihan kios, dan masa sewa kios yang sering kali tidak terdokumentasi dengan baik. Penelitian ini dilaksanakan selama tiga bulan dengan pendekatan rekayasa perangkat lunak yang mencakup analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Sistem yang dibangun memungkinkan pengelola pasar untuk mengakses data secara real-time terkait informasi kios, mulai dari identitas penyewa, status kebersihan kios, hingga durasi sewa. Salah satu fitur unggulan sistem ini adalah penggunaan algoritma Bubble Sort yang berfungsi untuk mengurutkan data berdasarkan tiga aspek utama, yaitu ukuran atau luas kios, tingkat kebersihan, dan masa sewa, dari nilai terbesar ke terkecil. Dengan fitur ini, pengelola dapat dengan mudah melihat prioritas pengawasan dan pengelolaan kios, seperti kios dengan ukuran paling besar, kios dengan masa sewa terpanjang, atau kios dengan tingkat kebersihan paling tinggi. Implementasi sistem ini memberikan dampak signifikan terhadap efektivitas pengelolaan pasar, terutama dalam hal transparansi, efisiensi, dan pengambilan keputusan berbasis data yang akurat dan terstruktur. Selain itu, sistem ini turut mendorong transformasi digital dalam pengelolaan pasar tradisional, dengan menghadirkan teknologi yang relevan dan mudah digunakan. Sistem informasi ini terbukti memberikan kontribusi besar terhadap peningkatan manajemen pasar dan berpotensi untuk diadaptasi di pasar-pasar lainnya sebagai bentuk dukungan terhadap pengembangan infrastruktur ekonomi lokal yang lebih modern dan profesional.
Implementation of Key Performance Indicators in the Palm Oil Harvest Monitoring Information System Rina Sari, Diah Ayu; Irawan, Muhammad Dedi
Green Intelligent Systems and Applications Volume 5 - Issue 2 - 2025
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v5i2.782

Abstract

Manual management of palm oil harvest data often resulted in data inconsistencies, low operational efficiency, and financial losses for plantation companies. To address these challenges, this study aimed to implement the Key Performance Indicator (KPI) method within a harvest monitoring information system at PT Perkebunan Nusantara (PTPN; Nusantara Plantation Company, Ltd) IV Regional II Unit Adolina, with the goal of enhancing data accuracy, transparency, and managerial effectiveness. A quantitative research approach was employed, utilizing data collection techniques such as observation, interviews, and document analysis. Five out of ten afdeling units were selected as research samples. The performance was assessed using three primary indicators: total harvest yield (weighted at 40%), labour productivity (35%), and monthly harvest frequency (25%). The results revealed significant variations in KPI achievement across afdeling units, with several units exceeding the established targets. Furthermore, the developed system featured an interactive visual dashboard that enabled managers to monitor performance in real time and supported data-driven decision-making. Compared to traditional monitoring tools, this system offered enhanced integration of performance metrics, automated data processing, and real-time analytics, addressing previous limitations such as delayed reporting and fragmented data sources. In conclusion, the integration of KPI into the harvest monitoring information system proved to be effective in providing objective and measurable performance evaluation. This approach offered a strategic solution for improving operational efficiency and productivity in palm oil plantation management.
Penerapan Metode ARAS dan ROC dalam Menentukan Destinasi Wisata Syar’i di Kabupaten Langkat Sari, Anggy Permata; Irawan, Muhammad Dedi
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 15 No 2 (2025): September 2025
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v15i2.965

Abstract

The growing interest in Islamic tourism has prompted the need for a system capable of accurately recommending sharia-compliant tourism destinations. Langkat Regency boasts a variety of attractive destinations, but tourists often struggle to make informed choices due to limited information, while the Tourism Office faces challenges in prioritizing destinations. This study integrates the Rank Order Centroid and Additive Ratio Assessment methods into a decision support system. ROC was used to weight eight assessment criteria based on priority, while ARAS was applied to calculate utility values and rank ten alternative destinations. The analysis showed that Taman Wisata Syariah obtained the highest utility value of 1. Thus, Taman Wisata Syariah is recommended as a prime sharia-compliant tourism destination in Langkat Regency. The integration of the ROC and ARAS methods proved effective in producing consistent, measurable evaluations, and was able to account for variations in weighting between criteria. The developed system not only improves the efficiency of the decision-making process but also provides practical contributions to the management and development of sustainable sharia tourism in Langkat Regency.
IMPLEMENTASI METODE FEATURE DRIVEN DEVELOPMENT PADA SISTEM INFORMASI PELAYANAN MASYARAKAT Rasyad, Ismi Hamidah; Irawan, Muhammad Dedi; Triase, Triase
Simtek : jurnal sistem informasi dan teknik komputer Vol. 10 No. 2 (2025): Oktober 2025
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v10i2.1609

Abstract

Penelitian ini membahas pengembangan sistem informasi pelayanan masyarakat dengan menggunakan pendekatan Feature Driven Development (FDD). Permasalahan yang dihadapi adalah proses layanan administrasi dan pengaduan masyarakat yang masih dilakukan secara manual dan kurang efisien. Penulis telah menerapkan pendekatan FDD untuk membangun sistem berbasis web yang memfasilitasi layanan pengajuan permohonan, pelacakan status, pengaduan, serta pengelolaan data oleh staf kelurahan. Proses pengembangan dilakukan secara iteratif berdasarkan daftar fitur yang dirancang dari kebutuhan pengguna. Sistem yang dibangun telah diuji menggunakan metode blackbox testing dan menunjukkan bahwa seluruh fitur berjalan sesuai fungsinya. Hasil ini menunjukkan bahwa metode FDD efektif diterapkan dalam pengembangan perangkat lunak berbasis kebutuhan pengguna, khususnya untuk sistem pelayanan publik di tingkat kelurahan.
Implementation of A Combination Of WP and Moora Methods in Recruitment Of Casual Daily Laborers to Become Permanent Employees Sanjaya, Bima; Irawan, Muhammad Dedi
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 1 (2025): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v15i1.117

Abstract

The Industrial Revolution 4.0 has emphasized the strategic role of information technology in supporting organizational decision-making, particularly in workforce recruitment. Within this context, PTPN IV, a leading company in the plantation sector, continues to encounter challenges in promoting Casual Daily Laborers (BHL) to permanent employees through an objective and transparent selection process. To address this issue, this study introduces a decision support system (DSS) that integrates the Weighted Product (WP) method with Multi-Objective Optimization by Ratio Analysis (MOORA). The WP method is applied to calculate preference values based on weighted criteria, while MOORA facilitates multi-criteria optimization, thereby strengthening the accuracy of the ranking process. Empirical findings indicate that the combined approach significantly enhances decision-making effectiveness, producing more consistent and fair outcomes compared to conventional methods. The practical implication of this research lies in providing PTPN IV with a reliable tool to improve efficiency, ensure fairness, and strengthen accountability in employee promotion decisions, which ultimately contributes to organizational performance and competitiveness.
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.
Co-Authors Abdillah, Muhammad Imam Adam Syahputra 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 Asyilah, Nurul Atika Sari Br Pa Aulansari, Suwinda Barus, Nurizni Beni Frandian Bi Rahmani , Nur Ahmadi Cipta Amandha, Azrah Diah Sawitri Diana, Dwi Rahmadani Ivan 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 Lubis, Tiara Arzhety 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 Muarif, Risdani 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 Muthi, Dimas Ibnu 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 Wahdina ‘Ain Siregar Okta Yuliardi Oris Krianto Sulaiman P, Mahzuro Supianti Pane, Ogie Ariansah Pasaribu, Afifah Balqis Pinka, Maura Morena Prabowo, Eko Heri Pradika, Ade Risky 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 Rambe, Siska Mayasari 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 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 Sweety, Miana Syahputra, Adam Syahputra, Muhammad Zarwin Tasya Annisa Simatupang 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