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All Journal Coding: Jurnal Komputer dan Aplikasi Jurnal TIMES CESS (Journal of Computer Engineering, System and Science) JURNAL MEDIA INFORMATIKA BUDIDARMA Jusikom : Jurnal Sistem Komputer Musirawas JMM (Jurnal Masyarakat Mandiri) IRJE (Indonesian Research Journal in Education) ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL PENDIDIKAN TAMBUSAI JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JUSIM (Jurnal Sistem Informasi Musirawas) Building of Informatics, Technology and Science Journal of English Education and Teaching (JEET) JISKa (Jurnal Informatika Sunan Kalijaga) JURNAL MAHAJANA INFORMASI Jurnal Teknologi Dan Sistem Informasi Bisnis JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat International Journal of Advances in Data and Information Systems Journal Zetroem Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Bulletin of Computer Science Research Instal : Jurnal Komputer Bulletin of Information Technology (BIT) Jurnal Minfo Polgan (JMP) Jurnal Nasional Teknologi Komputer PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Sistem Pendukung Keputusan dengan Aplikasi Jurnal Sistim Informasi dan Teknologi Jurnal Kajian Islam Modern Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Conference on Sciences Development and Technology Al-Manaj International Journal of Information System & Innovative Technology Innovative: Journal Of Social Science Research JURNAL PENDIDIKAN DAN KEGURUAN Jurnal Manajemen Sistem Informasi Communication and Information Journal Jurnal Pendidikan dan Ilmu Sosial Journal Of Informatics And Busisnes Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Kendali Teknik dan Sains JRIIN :Jurnal Riset Informatika dan Inovasi Jurnal Penelitian Teknologi Informasi dan Sains Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi International Journal of Language and Ubiquitous Learning Jurnal Testing dan Implementasi Sistem Informasi Router : Jurnal Teknik Informatika dan Terapan Repeater: Publikasi Teknik Informatika dan Jaringan Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Ignite: Journal Islamic Global Network for Information Technology and Entrepreneurship Jurnal Ilmiah Informatika dan Komputer International Journal of Information System and Innovative Technology Journal of Computer Science Artificial Intelligence and Communications Jurnal Ilmu Komputer dan Teknik Informatika Jurnal Pengabdian Masyarakat Berdampak Journal of Electrical Engineering Research Router : Jurnal Teknik Informatika dan Terapan Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies Prosiding Seminar Nasional Ilmu Komputer, Sosial Sains, Teknik Dan Multi-disiplin Ilmu Jurnal Pendidikan Agama Islam Jurnal Sistem Informasi dan Ilmu Komputer
Supiyandi Supiyandi
Universitas Pembangunan Panca Budi
Religion Agriculture, Biological Sciences & Forestry Arts Humanities 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Application of Machine Learning in Computer Hardware Failure Detection Systems on Local Area Networks Irwan, Irwan; Supiyandi, Supiyandi; Rizal, Chairul
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.71

Abstract

This study explores the application of machine learning (ML) techniques in detecting hardware failures in Local Area Networks (LANs). As networks become increasingly complex, the ability to predict and address hardware issues before they lead to system failures is crucial for maintaining network reliability and performance. The research investigates several machine learning algorithms, including supervised and unsupervised models, to analyze network data and identify early signs of potential hardware malfunctions. The study emphasizes the use of features such as network traffic patterns, hardware performance metrics, and error logs to train models capable of detecting anomalies and predicting failures. The effectiveness of these models is evaluated based on their accuracy, precision, and recall in identifying hardware failures. The findings aim to contribute to the development of more efficient and proactive failure detection systems that can enhance network uptime and reduce the costs associated with unexpected hardware downtimes.
Integrasi Teknologi Pembelajaran dalam Meningkatkan Efektivitas Pendidikan Agama Islam Supiyandi Supiyandi; Muhammad Hasanuddin; Siti Khodijah; Cindy Atika Rizki; Abil Alwi Prayoga
Jurnal Pendidikan Agama Islam Vol. 1 No. 3 (2025): September 2025
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/jurpai.v1i3.27

Abstract

Penelitian ini bertujuan untuk menganalisis bagaimana integrasi teknologi pembelajaran dapat meningkatkan efektivitas Pendidikan Agama Islam di sekolah pada era digital. Fokus utama penelitian adalah memahami pengalaman guru dan siswa dalam menggunakan media digital untuk memperkuat penyampaian materi serta meningkatkan keterlibatan belajar. Metode penelitian menggunakan pendekatan kualitatif dengan desain studi kasus melalui observasi, wawancara, dan dokumentasi untuk memperoleh data yang mendalam mengenai praktik integrasi teknologi dalam pembelajaran. Hasil penelitian menunjukkan bahwa penggunaan teknologi seperti video pembelajaran, e-modul, kuis interaktif, dan platform digital mampu menciptakan proses belajar yang lebih menarik, variatif, dan mudah dipahami. Siswa merespons pembelajaran berbasis teknologi dengan tingkat motivasi yang lebih tinggi, sementara guru mengalami kemudahan dalam menyampaikan materi abstrak secara lebih konkret. Meskipun demikian, penelitian menemukan hambatan berupa keterbatasan kemampuan guru, kendala perangkat, dan akses internet yang tidak stabil. Temuan ini menunjukkan bahwa teknologi memiliki peran penting dalam meningkatkan efektivitas pembelajaran Pendidikan Agama Islam, namun keberhasilannya memerlukan dukungan kompetensi guru dan fasilitas yang memadai. Penelitian ini memberikan implikasi bahwa pengembangan teknologi dalam PAI perlu dilakukan secara terencana untuk mendukung kualitas pembelajaran di era digital.
Computer-Based Data Visualization Analysis for Simplifying Complex Information Salsabila Nasution; Fatwa Aulia; Saprina Putri Utama Ritonga; Anggi Jelita Sitepu; Supiyandi Supiyandi
Prosiding Seminar Nasional Ilmu Komputer, Sosial Sains, Teknik dan Multi-Disiplin Ilmu Vol. 1 (2025)
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/ikosstemi.v1.43

Abstract

This study aims to analyze global temperature data by employing computer visualization as a tool to simplify complex information. The dataset was obtained from Kaggle, specifically the Global Land Temperatures by City dataset, which contains monthly average temperature data from various cities worldwide. The methods applied include data preprocessing, descriptive statistical analysis, and data visualization using the Python programming language with the Pandas, Matplotlib, and Seaborn libraries. The visualization results reveal an upward trend in the global average temperature from 1900 to 2020, with an increase of approximately 1°C, indicating the occurrence of global warming. Computer visualization has proven to be effective in helping researchers and policymakers better understand temperature change patterns compared to numerical table-based analysis. Therefore, this study emphasizes that the application of computer visualization is an efficient solution for presenting and analyzing large-scale data, making it more interpretable.
Sosialisasi Green Computing kepada Masyarakat sebagai Strategi Mengurangi Limbah Elektronik demi Sungai yang Lebih Bersih Dedek Juliani Ritonga; Ermaliza; Siti Dian; Supiyandi
Prosiding Seminar Nasional Ilmu Komputer, Sosial Sains, Teknik dan Multi-Disiplin Ilmu Vol. 1 (2025)
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/ikosstemi.v1.50

Abstract

Electronic waste (e-waste) poses a serious threat to environmental sustainability, particularly to river ecosystems that serve as vital water sources and centers for community activities. However, public awareness regarding the dangers of e-waste and its proper management remains low, specifically in the Pantai Walikota area, Medan Tuntungan. This community service activity aims to socialize the principles of green computing to the local community as a strategic effort to reduce e-waste and maintain river cleanliness. The activity was conducted using a participatory education method, which included interactive lectures, discussions, and the distribution of educational brochures and posters to 10 residents living along the riverbank. The effectiveness of the program was measured through observation and direct feedback. The results showed a significant increase in public understanding; initially, only 25% of participants were familiar with green computing concepts. Post-socialization, 75% of participants gained new knowledge regarding e-waste hazards, and the majority expressed a willingness to adopt wiser device management practices. This study concludes that direct, contextual socialization in riverside areas is an effective strategy for fostering environmental responsibility and contributing to cleaner river ecosystems.
Analysis of the Use of Threads and X Applications as Digital Social Interaction Media Among Students Gehan Hasibuan; Nazwa Aliya Muthmainnah Hsb; Supiyandi Supiyandi
Prosiding Seminar Nasional Ilmu Komputer, Sosial Sains, Teknik dan Multi-Disiplin Ilmu Vol. 1 (2025)
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/ikosstemi.v1.55

Abstract

Penggunaan media sosial telah meningkat dengan cepat, dan platform seperti X (sebelumnya Twitter) dan Threads telah menjadi platform utama bagi siswa untuk terlibat secara sosial. Studi ini bertujuan untuk membandingkan pola penggunaan kedua aplikasi ini dan menganalisis preferensi siswa terhadapnya. Penelitian ini menggunakan desain kuantitatif deskriptif; dengan pengumpulan data dilakukan melalui kuesioner yang disebarkan kepada mahasiswa dari berbagai universitas. Analisis statistik yang digunakan meliputi analisis frekuensi, analisis persentase, uji Chi-Square, dan uji-T. Hasil penelitian menunjukkan bahwa X (Twitter) lebih dominan digunakan oleh siswa dibandingkan dengan Threads. Siswa menggunakan X (Twitter) untuk informasi pendidikan dan diskusi sosial, sementara Threads lebih sering digunakan untuk percakapan pribadi dan kasual. Selain itu, tingkat kepuasan dengan X lebih tinggi daripada dengan Threads. Implikasi dari studi ini menunjukkan bahwa meskipun X digunakan lebih sering, Threads berpotensi menjadi platform alternatif untuk percakapan sosial yang lebih intim dan kasual .
Classification of Organic and Non-Organic Waste Using Convolutional Neural Network (CNN) Muhammad Farhan; Mhd Farhan Aditiya; Dafa Ikhwanu Shafa; Supiyandi; Aidil Halim Lubis
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2025): Desember 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/xbpg4s54

Abstract

The increase in waste volume in Indonesia, which reached emergency levels in 2024, requires technological solutions that can assist in the sorting process quickly and accurately. Previous research on CNN-based waste classification generally focused on recyclable waste categories with many classes and used structured datasets, which did not adequately represent real-world waste conditions, especially organic waste, which has more varied shapes and conditions. Based on this gap, this study proposes a Convolutional Neural Network (CNN) model for classifying two main categories—organic and inorganic—using 25,077 images and direct testing on field samples. The model was trained using the Adam optimizer and categorical crossentropy loss. The results show high accuracy for inorganic waste (96%), but lower accuracy for organic waste (62%) due to the complexity of texture and natural damage. This study contributes to the field of informatics through the application of more applicable and realistic deep learning for automatic waste sorting systems, as well as opening up opportunities for the development of model architectures that are more adaptive to waste conditions in the actual environment.
Implementation of Edge Detection Using the Sobel Operator on Papaya Leaf Images Yuda Apriansyah; Khairi, Nouval; Haikal Habibi Siregar; Supiyandi; Aidil Halim Lubis
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2025): Desember 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/ma9w7b36

Abstract

Recent advances in digital image processing and computer vision have enhanced feature extraction techniques for plant identification based on leaf morphology. Edge detection is a fundamental operation that highlights intensity discontinuities corresponding to object boundaries. This study implements the Sobel operator to perform edge detection on tropical leaf images using an experimental–computational approach. The workflow involves grayscale conversion, horizontal and vertical Sobel filtering, and gradient magnitude computation implemented in Python using the OpenCV library. Experimental evaluation demonstrates that the Sobel operator effectively delineates primary leaf contours and preserves morphological consistency, despite reduced performance under non-uniform illumination and noisy conditions. These results confirm that the Sobel operator remains a reliable preprocessing technique for leaf-based feature extraction and classification, offering a computationally efficient baseline for future integration with machine learning-based plant recognition systems.
Penerapan Metode Segmentasi Warna HSV untuk Deteksi Objek Berbasis Warna pada Citra Digital Rizka Rizka; Nasution, Salsabila; Aulia, Fatwa; Supiyandi Supiyandi
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.706

Abstract

This study discusses the application of the HSV color segmentation method for color-based object detection in digital images. The data used consist of digital images in JPG, PNG, or WebP format containing various colored objects, including red tomatoes, yellow bananas, green apples, orange oranges, purple akebia, brown sapodilla, and blue blueberries. The research process involves converting images from BGR to HSV, determining HSV ranges for each color, creating masks, performing segmentation, analyzing pixels, detecting contours, and visualizing results using bounding boxes. The results show that the HSV method effectively detects objects, separates them from the background, and provides quantitative information, including pixel count, area percentage, and average HSV values for each color. Red, yellow, green, orange, purple, brown, and blue colors were successfully segmented, displaying clear and accurate objects, both for single and multiple objects, under various sizes and lighting conditions. These findings confirm that the HSV method is a simple, fast, and effective approach for color-based image analysis.
Penerapan Metode Segmentasi Warna HSV untuk Deteksi Objek Berbasis Warna pada Citra Digital Rizka Rizka; Nasution, Salsabila; Aulia, Fatwa; Supiyandi Supiyandi
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.706

Abstract

This study discusses the application of the HSV color segmentation method for color-based object detection in digital images. The data used consist of digital images in JPG, PNG, or WebP format containing various colored objects, including red tomatoes, yellow bananas, green apples, orange oranges, purple akebia, brown sapodilla, and blue blueberries. The research process involves converting images from BGR to HSV, determining HSV ranges for each color, creating masks, performing segmentation, analyzing pixels, detecting contours, and visualizing results using bounding boxes. The results show that the HSV method effectively detects objects, separates them from the background, and provides quantitative information, including pixel count, area percentage, and average HSV values for each color. Red, yellow, green, orange, purple, brown, and blue colors were successfully segmented, displaying clear and accurate objects, both for single and multiple objects, under various sizes and lighting conditions. These findings confirm that the HSV method is a simple, fast, and effective approach for color-based image analysis.
Rancang Bangun Sistem Jendela Otomatis Berbasis Mikrokontroler Siti Dian Fachroza Ritonga; Ermaliza; Dedek Juliani Ritonga; Siti Dian Fachorza Ritonga; Supiyandi
Jurnal Ilmu Komputer dan Teknik Informatika Vol. 2 No. 1 (2026): Januari 2026
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/juikti.v2i1.106

Abstract

Perkembangan teknologi otomatisasi saat ini telah memberikan pengaruh yang besar terhadap peningkatan kenyamanan dan efisiensi dalam lingkungan hunian. Akan tetapi, dalam praktiknya, pengoperasian sistem ventilasi seperti jendela masih dilakukan secara manual, yang seringkali tidak praktis dan kurang responsif terhadap perubahan cuaca yang tiba-tiba. Penelitian ini bertujuan untuk menciptakan sistem jendela otomatis berbasis mikrokontroler, sebagai solusi untuk masalah operasional manual dan untuk meningkatkan keamanan di dalam bangunan. Metodologi yang digunakan dalam penelitian ini adalah Research and Development (R&D) dengan pendekatan prototipe, meliputi tahap desain, perakitan, serta pengujian fungsional. Sistem ini memanfaatkan Arduino Uno sebagai pengendali utama, yang mengintegrasikan sensor cahaya (Light Dependent Resistor / LDR) untuk mendeteksi tingkat intensitas cahaya dan sensor hujan untuk mengetahui keberadaan air, menggunakan motor servo sebagai aktuator untuk membuka dan menutup jendela. Hasil dari pengujian menunjukkan bahwa sistem ini mampu beroperasi dengan responsif berdasarkan logika prioritas keamanan; di mana jendela akan terbuka secara otomatis ketika kondisi terang dan tidak hujan, tetapi akan menutup saat kondisi gelap atau saat ada tetesan air hujan meskipun kondisi sekitar masih terang. Sistem ini terbukti efektif dalam melindungi interior ruangan dari air hujan tanpa memerlukan campur tangan manusia secara terus-menerus. Dengan kombinasi komponen yang terintegrasi dengan baik, prototipe ini memberikan solusi otomatisasi yang sederhana, praktis, dan efisien untuk diterapkan pada bangunan modern.
Co-Authors AA Sudharmawan, AA Abdul Karim Abdul Kholik Abil Alwi Prayoga Adinda Fita Hidayah Adisty Maysandra Agus Priawan Aidil Halim Lubis Aidil Halim Lubis Aisyah, Adinda Putri Akhiryani, Atna Aldri Frinaldi Almanna Hussein Amelia, Nanda Aminuddin Indra Permana Andhika Fisryansah Ahlief Putra Andriana, Melly Andriani Sitorus Andry Wiranda Hakiki Andysah Putera Utama Siahaan Anggi Jelita Sitepu Anggi Jelita Sitepu Anita Yulistia Aprilia, Anggita Arizka Anggraini Armasari, Selly Arrahma, Syahrani Asih, Munjiat Setiani Asro Hayati Berutu Atika Rizki, Cindy Aulia, Fatwa Awaluddin Nasution Ayu Nafis Azhard, Alfani Azzahra, Shafa Marwah Badawi, Afif bagus dwi nugraha Barany Fachri Basyir, Muhammad Khalidin Batubara, Raihan Syafawi Benni Ichsanda Rahman Hz Berutu, Asro Hayati Berutu, Nurhalijah Binti Mailok, Ramlah Buyung Solihin Hasugian Cahyadi, Bhagaskara Chairul rizal Chairul Rizal Chairul Rizal Chatarina Umbul Wahyuni Cindy Atika Rizki Cindy Atika Rizki Cindya Putri Hidayat Siregar Dafa Ikhwanu Shafa Dafa Ikhwanu Shafa, Dafa Ikhwanu Shafa Damanik, M. Zidan Damayanti, Fera Darbin Silaban Darmansyah, Dandi Darmawan Napitupulu Dedek Juliani Ritonga Dedek Juliani Ritonga Deni Apriadi Dian Kurnia Dinah Makhroza Silalahi Donny Dwi Putra Dwi Citra Tarcilia Br Berutu Dwi Prapita Sari Eka Putra Eka, Muhammad Eka, Muhammad Eko Hariyanto Ermaliza Ermaliza Evra Tiara Syahputri Fachri, Barany Fadhil, Muhammad Syaban Fahmi Zahary Fahraini, Fakhita Fahrizal, Deni Fajar Ryanda Fakhita Fahraini Fasya, Muhammad Rezeki Fatwa Aulia Fauzi Bima Ramadhan Fauzi Kurniawan Febrian, Alvin Fikri Aditiya Sitorus Firda Mei Amandaa Firtiani, Ade Irda Frida, Okta Gehan Hasibuan Ginting, Giovany Ginting, Risdawati Gita Aulia Grase Latifah Sibuea Gultom, Imeldawaty Hafizh Sallam Haikal Habibi Siregar Hakim Gilangkara Hamdi Handoko, Divi Harahap, Ardhansyah Putra Harun Al Rasyid Hasanah, Tita Havni Virul Hendry Hendry Hermansyah Hermansyah Hermansyah Hidayah, Adinda Fita Hotmaidah Harahap Ibnu Faisal Icha Miranti Irzan Ilka Zufria Inneke Putri Irfan Azhar Gurning, Muhammad Irfan Sarif, Muhammad Irwan Irwan Gunawan Irwan Irwan Ismahani , Siti J. Prayoga Jiddan, Jayyid Jonhuneddi, Ridho Defvin Ananda Julyanda, Rizki Jundi Haqqoni Khairi, Nouval Khairul Azis Khairuniza, Nabila Khalidy, Furqan Kiki Widya Pratiwi Latifa Khoirani Latifa Khoirani Leni Marlina Lia Kristina , Manalu Lili Wilandari LINDA WAHYUNI Lingga, Cindy Valentina Lisa Amelia Putri Luthfiah Azzahra Irhanda Luthfie Budie M Khori Pratama Mahkamah Mailok, Ramlah Binti Malau, Sebastian Veron Manalu Lia Kristina Martiman Suazisiwa Sarumaha Mesran, Mesran Mhd Farhan Aditiya Mhd Murini Ramadhani Mochammad Imron Awalludin Mohammad Yusup Mohammad Yusup Mona Donaon Muhammad Abdul Mujib Muhammad Alfariz Rasyid Muhammad Alfariz Rasyid, Muhammad Alfariz Rasyid Muhammad Amin Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Evan Jinanda Muhammad Fajrotu Syahri Dalimunthe Muhammad Farhan Muhammad Habib Muhammad Hasanuddin Muhammad Hasanuddin Muhammad Hasanuddin, Muhammad Muhammad Ikhsan Muhammad Iqbal Muhammad Iqbal Muhammad Irfan Sarif Muhammad Israr Fathoni Muhammad Noor Hasan Siregar Muhammad Siddik Hasibuan Muhammad Syahuda Hasibuan Muhammad Yusuf Azmi Muhammad Zen Muhammad Zen, Muhammad Munadi Munadi Nabawy, Putri Nabila Intan Zahrani Najla Lubis Nasution, Salsabila Nasution, Yusuf Ramadhan Nasution, Yusuf Ramadhan Natria Selina Nazwa Aliya Muthmainnah Hsb Nazwa Alya Faradita Nuranisah Nuranisah Nurhalijah Berutu Nurjannah Hasibuan Nurul Fitriah Nuzul Ramadhan Paranindra Ardhana Biroe Aurori Pasaribu, Saddam Husen Romadon Pasi, Ramadhana Pramudya, Farhan Amar Pratama, Haris Pratama, M. Khoiri Putra, Donny Dwi Putra, Randi Rian Putri Andini, Putri Putri, Dinda Wijaya Rafif Rasendriya Rahim, Fitra Rahmadani Rahmadani Rahmadani Rahmadani Rahmat Abdillah Rasendriya, Rafif Rebecca Evelyn Laiya Ricky Ramadhan Harahap Rino Ariansyah Rino Ariansyah Risma Hidayati Rismayanti Rismayanti Rizal, Chairul Rizka Rizka Rizka Rizki, Cindy Atika Rizky Vita Losi Rondi Sahputra Darmono Rosa Prahasti Rusmin Saragih, Rusmin Rusydi, Lina Najwatur Ruth Riah Ate Tarigan Safrizal Barus Saidi Ramadan Siregar Salsa Nabila Iskandar Salsabila Nasution Salsabila Yusra Samosir, Legiman Samsul Maarif Aceh Sanjaya, Dian Saprina Putri Utama Ritonga Saprina Putri Utama Ritonga Sari, Anggy Permata Sari, Dwi Prapita Sarip, Mohammad Sepriana Nurliani Sidik, Jafar Silalahi, Dinah Makhroza Siregar, Ina Namora Putri Siregar, Kardandi Alfarizi Sitha, Nur Syifa'u Siti Dian Siti Dian Fachorza Ritonga Siti Dian Fachroza Ritonga Siti Khodijah Siti Khodijah Siti Sundari Sri Putri Balqis Sri Ratna Dewi suci ramadhani Surbakti, Ferdiyansyah Suryanda, Daniel Suyitno Suyitno Syahada Mawarda Hutagalung Syahada Mawarda Hutagalung, Syahada Mawarda Hutagalung Syahida, Silmi Syahputra, Zulfahmi Syamsul Arifin Syawaliah Putri Rangkuti Tanjung, Agung Hafizh Tegar Ardiansyah Triguna, Aalhafis Aden Trisatin Panggabean Try Widyawanti Vera Meikana Sitorus Wahyu Eka Judistira Wahyudi, Farhan Rizky Waldana, Fadhil Warda Hamidah Wasito, Muhammad Wicaksono, Aldi William Lutfi Rahman Harjo Yessi Fitri Annisah Lubis Yuda Apriansyah Yusril Burhani Batubara Yusuf Ramadhan Nasutiion Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Yusup, Mohammad Zainal Arifin Zul fiqr Zulfahmi Syahputra Zulham Zulham