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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Pendidikan JURNAL PENGABDIAN KEPADA MASYARAKAT KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Review Pendidikan dan Pengajaran (JRPP) JATI (Jurnal Mahasiswa Teknik Informatika) INFOKUM MEANS (Media Informasi Analisa dan Sistem) Journal Corner of Education, Linguistics, and Literature JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Mudabbir: Journal Research and Education Studies Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Masyarakat Indonesia QISTINA: Jurnal Multidisiplin Indonesia Indonesian Research Journal on Education Scientica: Jurnal Ilmiah Sains dan Teknologi Kohesi: Jurnal Sains dan Teknologi Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Management Education Social Sciences Information and Religion Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Journal of Citizen Research and Development Journal of Education Transportation and Business AR-RUMMAN: Journal of Education and Learning Evaluation
Syahputra, Fahmy
Fakultas Teknik, Universitas Negeri Medan, Medan, Indonesia
Religion 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 Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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ANALISIS PENGARUH CHATGPT TERHADAP TINGKAT PENGETAHUAN MAHASISWA PENDIDIKAN TEKNOLOGI INFORMATIKA DAN KOMPUTER DALAM PENYELESAIAN TUGAS PADA MATA KULIAH ROBOTIK Sabrina, Elsa; Syahputra, Fahmy; Pohan, Ahmad Rizal Padana; Sitepu, Filza Kirani Br; Situmorang, Gaudensius J.A; Harahap, Ihsan Heldi; Barus, Michael Steven F.; Ananda, Muhammad Rendi; Nasution, Romadon
Jurnal Review Pendidikan dan Pengajaran Vol. 8 No. 1 (2025): Volume 8 No. 1 Tahun 2025
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v8i1.43736

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh ChatGPT terhadap tingkat pengetahuan mahasiswa Pendidikan Teknologi Informatika dan Komputer dalam penyelesaian tugas pada mata kuliah Robotik. Metode yang digunakan adalah kajian literatur dengan menganalisis berbagai jurnal yang membahas pemanfaatan ChatGPT dalam pendidikan. Hasil penelitian menunjukkan bahwa ChatGPT dapat meningkatkan pemahaman mahasiswa terhadap konsep-konsep robotik, mempercepat proses penyelesaian tugas, dan memberikan solusi kreatif. Selain itu, mahasiswa melaporkan peningkatan dalam kemampuan pemecahan masalah dan efisiensi waktu dalam menyelesaikan tugas akademik. Meskipun demikian, terdapat tantangan seperti potensi ketergantungan pada teknologi dan perlunya pengawasan etika penggunaan. Penelitian ini menyimpulkan bahwa integrasi ChatGPT dalam pembelajaran dapat meningkatkan efektivitas pendidikan, terutama dalam konteks mata kuliah yang kompleks seperti Robotik, dengan tetap mempertimbangkan aspek etika dan integritas akademik.
Transformasi Perpustakaan Konvensional Menjadi Smart Library Dengan Teknologi Pemindaian Cepat Di SMK Negeri 1 Percut Sei Tuan Syahputra, Fahmy; Lubis, Azmi Rizki; Dalimunthe, Amirhud; Adhitya, Wisnu Rayhan; Pratama, Saras
Jurnal Masyarakat Indonesia (Jumas) Vol. 4 No. 02 (2025): Jurnal Masyarakat Indonesia (Jumas)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jumas.v4i02.317

Abstract

The advancement of information technology has brought significant changes to library management, shifting from conventional systems toward the Smart Library concept, which is more modern, efficient, and interactive. This study aims to implement fast-scanning technology based on QR Code and RFID in the management system for book collections, borrowing, and returning processes at SMK Negeri 1 Percut Sei Tuan. The research adopts a Research and Development (R&D) approach using the prototyping model, which includes stages of needs analysis, system design, implementation, and limited testing within the school environment. The implementation results show an increase in library service efficiency by up to 65% compared to the manual method, along with a reduction in recording errors and improved convenience for students in locating and borrowing books. Therefore, the application of a Smart Library system utilizing fast-scanning technology has proven to be effective and feasible as an innovative digital solution to support the transformation of library services in vocational schools
Implementasi Sistem Pembangkit Listrik Tenaga Surya Di Taman Baca Masyarakat Istiqomah Eka Dodi Suryanto; Marwan Affandi; Fahmy Syahputra; Ayu Elvana; Muchsin Harahap
Jurnal Masyarakat Indonesia (Jumas) Vol. 4 No. 03 (2025): Jurnal Masyarakat Indonesia (Jumas)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jumas.v4i03.318

Abstract

This activity describes the planning, installation, and evaluation of the implementation of a Solar Power Generation System (PLTS) at the Istiqomah Community Reading Park, Terjun Village, Medan Marelan District. The objectives of the activity are (1) to provide a reliable independent power supply for lighting and auxiliary learning devices at the reading park, (2) to increase the managers’ capabilities in operating and maintaining the PLTS, and (3) to assess the technical and social sustainability impacts after installation. Methods used include an energy needs and peak load survey, design of an off-grid system based on the survey results, installation of main components (PV panels, controller, batteries, inverter), and operational and maintenance training for the reading park managers. Evaluation was conducted through measurements of energy availability (hours of lighting operation), reduction in consumption from the PLN grid (kWh), and user satisfaction questionnaires. Based on the needs survey, the reading park’s electricity use is mostly allocated to lighting, fans, and computer operation. Results show that the installed PLTS successfully supplied 95% of the reading park’s daily electricity needs, directly resulting in monthly electricity savings of up to Rp 250.000,00. The results indicate that the designed PLTS meets lighting and light electronic device needs during the reading park’s operating hours, reduces dependence on external supply, and increases community participation in literacy activities, making it an effective strategy for achieving energy independence.
Literature Review: Transitioning usage from BFS and DFS to Heuristic Search in the Modern AI Era Fahmy Syahputra; Elsa Sabrina; M Fajar Sahendra Chan; Rifki Fali; Muhammad Fattah; Joko Hendratmo; Fadhil Ardiansyah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1856

Abstract

Uninformed search algorithms, specifically Breadth-First Search (BFS) and Depth-First Search (DFS), encounter significant scalability limitations when addressing complex problem spaces in modern Artificial Intelligence (AI) ecosystems. This study investigates the paradigm shift toward intelligent heuristic algorithms through a systematic literature review and comparative analysis of 24 recent academic sources. The evaluation focuses on three primary domains: logical problem solving, robotic navigation, and data infrastructure management. Results demonstrate that heuristic methods, such as A-Star and hybrid variants like PrunedBFS, offer superior time efficiency and memory optimization for autonomous navigation and massive computing tasks. Nevertheless, classic algorithms retain functional relevance for specific scenarios requiring exhaustive exploration. Furthermore, this study reveals that algorithmic evolution has fundamentally transformed digital infrastructure, driving a shift from Search Engine Optimization (SEO) to Answer Engine Optimization (AEO) and necessitating adaptive cybersecurity architectures. The research concludes that the future of AI development relies not on substitution, but on a collaborative synthesis integrating the robustness of classic methods with the adaptability of modern heuristics.
Influence of AI Technology on the Development of Critical Thinking Skills in Education Fahmy Syahputra; Elsa Sabrina; Alya Rahmi; Ariyantika Br Ginting; Hanifah Mardhiyah; Hutri Ami; Laili Tanzila
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1891

Abstract

The development of Artificial Intelligence (AI) technology has brought significant changes to the educational process, especially in supporting the development of critical thinking skills in students. This study uses a qualitative approach with a systematic literature review method to analyze various findings regarding the influence of AI in education. The results of the study show that AI has the potential to improve critical thinking skills through the provision of analytical stimuli, adaptive feedback, and the facilitation of active learning that encourages reflection, evaluation, and data-based argumentation. However, excessive use of AI or use without teacher guidance can lead to dependence, reduce creativity, and weaken students' evaluative and independent thinking skills. Therefore, the integration of AI should be balanced with active learning strategies, digital literacy, and pedagogical guidance so that this technology functions as a cognitive partner that strengthens critical thinking processes, rather than as a substitute for students' reasoning.
Systematic Literatur Riview Penerapan Logika Fuzzy pada Sistem Internet of Things Fahmy Syahputra; Elsa Sabrina; Muhammad Zaki Ulwi; Diyaul Fikri; Muhammad Fakhri Lubis; Dheany Angelina Putri Sembiring; Erika Togito Siahaan
QISTINA: Jurnal Multidisiplin Indonesia Vol. 4 No. 2 (2025): December 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v4i2.7528

Abstract

Penelitian ini melakukan Systematic Literature Review (SLR) dan analisis bibliometrik untuk memetakan perkembangan penelitian mengenai penerapan Fuzzy Logic pada sistem Internet of Things (IoT) dalam periode 2020–2025. Sebanyak 200 artikel teridentifikasi melalui pencarian terstruktur menggunakan kata kunci “Fuzzy Logic” dan “Internet of Things (IoT)”, kemudian diseleksi berdasarkan kriteria inklusi dan eksklusi hingga menghasilkan 15 publikasi utama dengan sitasi tertinggi. Analisis tren menunjukkan dua periode puncak produktivitas penelitian, yaitu tahun 2020 dan 2024, masing-masing dengan 41 publikasi. Distribusi sitasi memperlihatkan bahwa artikel yang terbit pada tahun 2020, 2021, dan 2023 memiliki dampak akademik terbesar. Hasil bibliometrik mengungkapkan bahwa tema dominan meliputi pengembangan fuzzy logic controller, efisiensi energi, optimasi rute dan jaringan, keamanan perangkat IoT, serta implementasi pada sektor pertanian, kesehatan, dan industri. Visualisasi jejaring kata kunci (co-word) menunjukkan adanya beberapa kluster tematik yang saling terhubung dan bersifat multidisipliner. Temuan ini memberikan gambaran komprehensif mengenai lanskap penelitian terkini, sekaligus mengidentifikasi peluang riset lanjutan pada integrasi Fuzzy Logic dan IoT di masa mendatang.
Rancang Bangun Sistem Absensi Otomatis Berbasis Pengenalan Wajah Menggunakan Model CNN Pretrained pada Platform Web Gali Armando; Marta Aulia Simangunsong; Teguh Arif Mediansyah; Zulkaidah Harahap; Cristina Elseria Rahelta; Harvei Desmon Hutahean; Fahmy Syahputra; Elsa Sabrina
QISTINA: Jurnal Multidisiplin Indonesia Vol. 4 No. 2 (2025): December 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v4i2.7555

Abstract

Conventional attendance methods often lead to queues, time inefficiency, and potential violation of health protocols, necessitating a fast, non-contact, and real-time attendance recording system. This research aims to design and implement a web-based attendance system as a local prototype using face recognition biometrics. The system was developed using Python with the Flask Framework and OpenCV. The core face recognition process combines Dlib's Pretrained CNN model for 128-dimensional feature vector extraction (face embedding) and the K-NN method for classification based on Euclidean Distance calculation. Testing results indicate that the system successfully performs accurate and real-time facial identification. The system is capable of automatically logging attendance times, providing audio feedback, and storing the attendance data recapitulation in an Excel (.xlsx) file. Thus, this system provides an effective and efficient non-contact attendance solution.
Dampak Positif dan Negatif Penggunaan Artificial Intelligence terhadap Kecerdasan Intelektual Mahasiswa Martino Bijeloys Siagian; Reyvaldo Gilbert Sitinjak; Christian Johansen Sihombing; Samuel Jonathan Pangaribuan; Elsa Sabrina; Fahmy Syahputra
QISTINA: Jurnal Multidisiplin Indonesia Vol. 4 No. 2 (2025): December 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v4i2.7556

Abstract

Perkembangan teknologi Artificial Intelligence (AI) telah membawa transformasi signifikan dalam dunia pendidikan tinggi, khususnya dalam proses pembelajaran mahasiswa. Penelitian ini bertujuan untuk mengkaji secara komprehensif dampak positif dan negatif penggunaan AI terhadap kecerdasan intelektual mahasiswa melalui tinjauan literatur sistematis. Metode yang digunakan adalah literature review dengan menganalisis berbagai jurnal ilmiah, artikel penelitian, dan publikasi terkait penggunaan AI dalam pendidikan tinggi periode 2020-2025. Hasil kajian menunjukkan bahwa penggunaan AI memberikan dampak positif yang signifikan, meliputi: peningkatan efisiensi pembelajaran, kemudahan akses informasi, personalisasi materi pembelajaran, pengembangan kreativitas, dan peningkatan pemahaman konsep yang kompleks. AI juga mendukung pembelajaran mandiri dan memberikan umpan balik real-time kepada mahasiswa. Namun, kajian ini juga mengidentifikasi berbagai dampak negatif, antara lain: penurunan kemampuan berpikir kritis, ketergantungan berlebihan pada teknologi, potensi plagiarisme dan pelanggaran integritas akademik, pemahaman yang dangkal terhadap materi, serta kekhawatiran terkait keamanan dan privasi data. Temuan menunjukkan bahwa penggunaan AI, khususnya ChatGPT, berpengaruh terhadap kecerdasan intelektual mahasiswa dengan kontribusi berkisar 57-75% terhadap peningkatan produktivitas akademik. Penelitian ini merekomendasikan perlunya strategi penggunaan AI yang bijak dan terarah, penguatan kebijakan institusi pendidikan, pelatihan literasi digital bagi mahasiswa dan dosen, serta pengembangan sistem evaluasi yang dapat mengidentifikasi orisinalitas karya mahasiswa. Dengan pendekatan yang seimbang, AI dapat dioptimalkan sebagai alat bantu pembelajaran yang meningkatkan kecerdasan intelektual tanpa mengorbankan kemampuan berpikir kritis dan kreativitas mahasiswa
Tinjauan Literatur Sistematis (2019–2025) Kinerja Decision Tree dan Neural Network (Deep Learning) serta Perbandingannya dengan Naive Bayes dan SVM Fahmy Syahputra; Elsa Sabrina; Febrinata Silvianna Br Tarigan; Matius Irvan Sarumaha; Alfi Rahmadhani; Sandha Calista Simanjorang; Loveyanni Marito Benedikta Gorat
TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Vol 6, No 4 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/trilogi.v6i4.13429

Abstract

This study presents a Systematic Literature Review (2019–2025) comparing the performance of Decision Tree and Neural Network (Deep Learning) models, alongside their relative performance against Naive Bayes and Support Vector Machine (SVM). The review synthesizes empirical findings across multiple application domains—including healthcare, education, industry, and finance—focusing on commonly reported classification metrics such as accuracy, precision, recall, and F1-score. The synthesis indicates that Decision Trees are frequently preferred for structured/tabular data due to their high interpretability and transparent decision rules, which are valuable for accountable decision-making. In contrast, Neural Networks/Deep Learning tend to outperform on unstructured data (e.g., medical images and text) and complex non-linear patterns, albeit often with reduced explainability. In several studies, Naive Bayes remains competitive as a lightweight baseline, while SVM continues to be effective for high-dimensional feature spaces and specific classification settings. Overall, the review highlights that algorithm selection should be driven by data characteristics, problem complexity, interpretability requirements, and computational constraints, since no single algorithm consistently dominates across all scenarios.
Dampak AI Generatif (LLMS) terhadap Keterampilan Menulis dan Integritas Akademik: Tinjauan Literatur Sistematis Fahmy Syahputra; Elsa Sabrina; Tirta Yasa Agung Barus; M Farid Al Farishi; Rabiatul Adwiyah; Nadila Ramadani; Jauharah Jauharah
TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Vol 6, No 4 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/trilogi.v6i4.13431

Abstract

This study aims to examine the impact of Generative AI (LLMs), such as ChatGPT, on students' writing skills and academic integrity through a Systematic Literature Review (SLR) of 15 relevant articles. The synthesis results reveal a significant duality effect, creating a dilemma between efficiency and quality. On one hand, LLMs are proven to be effective assistive co-pilots, which clearly enhance the technical efficiency of writing, accelerate the research workflow, and improve text cohesion and precision. However, this convenience triggers a substance quality crisis because students experience cognitive over-reliance, leading to Academic Deskilling the loss of the ability to independently practice critical reasoning and idea synthesis. This dependency is exacerbated by blind reliance on AI output and vulnerability to hallucinations that threaten the originality of the work. The consequence is a shift in the form of misconduct to the sophisticated practice of prompt engineering. To address these challenges, the literature emphasizes the necessity of pedagogical redesign and assessment redesign, which must focus on establishing ethics that ensure full transparency and accountability from students, and designing tasks that demand personal synthesis and reflective thinking.
Co-Authors -, Basyiah -, Basyiah Abdurrahman, Umar Abel Sinaga Ade Anggraini Adhitya, Wisnu Rayhan Adi Sutopo Adwiyah, Rabiatul Afandi Yusuf Lubis Afriansyah Pulungan, Wira Al Farishi, M Farid Al Husna, Saiba Aldy Primanda Barus Alfi Rahmadhani Alhadi, M.Raflie Alvin Evraim Situmorang Alya Rahmi Amanda, Nayla Ami, Hutri Amirhud Dalimunthe Ananda, Muhammad Rendi Andika Sitorus Angelina Putri Sembiring, Dheany Anggraini, Ade Anjelita Ardiansyah, Muhammad Fadhill Arif Rahman Ariyantika Br Ginting Artiani Zebua Asisah, Fatma Atan Fices Barus Aulia Simangunsong, Marta Azura Sakhi Salsabila Azzahra Syahbila Barus, Michael Steven F. Barus, Tirta Yasa Agung Calista, Sandha Carlo Heskia Chan, M Fajar Sahendra Christian Johansen Sihombing Cristina Elseria Rahelta Debora Cindy Purba Dewi, Nora Ronita Dheany Angelina Putri Sembiring Diah Fadilillah Diyaul Fikri Dwi Febrina Echon Haqnizo Eka Dodi Suryanto Eliasta Agustinus Sebayang Elsa Sabrina Elsa Sabrina Elsadin, Ratih Tri Elvana, Ayu ELVI MAILANI Erika Togito Siahaan Erita Astrid Fadhil Ardiansyah Fakhri Lubis, Muhammad Fali, Rifki Fatma Asisah Fattah, M Faturrahman, M Nadhif Fauzan Fachruzi Febiola Simatupang Febrinata Silvianna Br Tarigan Febrinata Silvinna Boru Tarigan Fikri, Diyaul Fitri, Destiana Frans Jhonatan Saragi Frans Pratamarifai Doya Zai Gabriel Frandika Tarigan Gali Armando Gaol, Liska Yuni Br Lumban Ghaitsa Zahira Lubis Ginting, Ariyantika Br Ginting, Leo Elfrata Gorat, Loveyanni Marito Benedikta Grace Roni Anuar Lase Guidio Leonarde Ginting Hanifah Mardhiyah Harahap, Ihsan Heldi Harahap, Zulkaidah Harun Sitompul Harvei Desmon Hutahean Hawari, Mhd Fadhlan Hendratmo, Joko Henny Puspa Hendrani Nasution Heskia, Carlo Hutagalung, Namira Rahmadina Hutauruk, Karel Rolian Hutri Ami Imam F Hutasuhut Imanta Sianturi Ira Gusdhini Harahap Irfanny, Riza Jauharah Jauharah Jauharah, Jauharah Jeremia Sitepu Jesica Aime Siahaan Joko Hendratmo Khodijah May Nuri Lubis Laili Tanzila Liska Yuni Br Lumban Gaol Loveyanni Marito Benedikta Gorat Lubis, Azmi Rizki Lubis, Khodijah May Nuri M Fajar Sahendra Chan M Farid Al Farishi M Fattah M Nadhif Faturrahman M. Bahrul Ilmi Manurung, Marchell Gabriel Manurung, Ricardo Marchell Gabriel Manurung Mardhiyah, Hanifah Maria Niscaya Ndruru Marta Aulia Simangunsong Martino Bijeloys Siagian Marwan Affandi Matius Irvan Sarumaha Maulana, Bagoes Maya Sari Maya Sari Mazaya Amalia Mendoza, Muhammad Dominique Monika Putri Puspita Siagian Muchsin Harahap Muhammad Fadhlan Hawari Muhammad Fakhri Lubis Muhammad Fattah MUHAMMAD ILHAM Muhammad Zaki Ulwi Munawwar, Muhammad Nababan, Leoni Try Oxana Nadia Costarika Simanjuntak Nadila Ramadani Naomi Pranatasyah Nasution, Aulia Rivansy Nasution, Henny Puspa Hendrani Nasution, Romadon Nasution, Willy Oktaviano Yehezkiel Naufal Ilham, Muhammad Nazwa, Safira Novi Novani Sinaga Novi Novanni Sinaga Nugraha Aditama Putra Perdana Nur Azlina Mohamed Mokmin Nurrahma, Suci Olnes Y. Hutajulu Otniel Manurung Pangaribuan, Samuel Jonathan Pardede, Rachel Christa Masniari Perdana, Nugraha Aditama Putra Permata, Sahly Na’ila Pinkan Ramadhani Pohan, Ahmad Rizal Padana Pradana, Raflie Sultan Pratama, Saras Putri, Tansa Trisna Astono Rabiatul Adwiyah Rachel Christa Masniari Pardede Raden Muhammad Fathur Rahman Rafael Owen Kevin Nainggolan Raffi Hidayat Raflie Sultan Pradana Rafly Adhitiya Wardana Rahelta, Christina Elseria Rahmadhani, Alfi Rahmansyah Angga Saputra Rahmi Isnaini Rahmi, Alya Raisa Nadrah Shafira Hia Ramadani, Nadila Rambe, Rizkina Ramadhani Ratih Tri Elsadin Ray Rivandi Tarigan Razha Jamsik Syah Reyvaldo Gilbert Sitinjak Ricardo Manurung Rifki Fali Ririn Handayani Nst Rivany Virenzia Riza Irfanny Rizkina Ramadhani Rambe Rizky Abimayu Utama Tanjung Rosnelli SABRINA, ELSA Safira Nazwa Safira Nazwa Putri Saiba Al Husna Salima, Khofifah Qalbun Samuel Jonathan Pangaribuan Sandha Calista Sandha Calista Simanjorang Sandy Sanjaya S Saragi, Frans Jhonatan Sari, Angereiny Citra Sarumaha, Matius Irvan Sarwedi Parhehean Tua Selvia Amanda Kayla Shafira, Amanda Shinta Eva Celina Siboro, Sari Agustina Siburian, Joy Silalahi, Yohanes Febrian Silitonga, Alfredo Alpansa Silvi Amelia Simanjuntak, Nadia Costarika Simbolon, Angga Baginda Sinaga, Enny Keristiana Sinaga, Novi Novani Sirait, Steven Siregar, Hanfiandi Akbar Sitepu, Filza Kirani Br Sitepu, Jeremia Sitorus, Andika Situmorang, Alvin Evraim Situmorang, Gaudensius J.A Sopiah Rahmadani br Torus Sriadhi Sriadhi Steven Eben Ezer Lase Suci Nurrahma Suhairiani Suhairiani Syah, Razha Jamsik Syahbila, Azzahra Tanzila, Laili Tarigan, Febrinata Silvinna Boru Tarigan, Gabriel Frandika Tarigan, Ray Rivandi Teguh Arif Mediansyah Teguh Mediansyah Teuku Naufal Tirta Yasa Agung Barus Togito Siahaan, Erika Umar Abdurrahman Wahyu Ramadhi Wan Ahmad Jaafar Wan Yahaya Wan Safari Ramadhan Yosa Perangin Angin Yosa Steven Perangin-Angin Yunansyah Siregar, Wal Zai, Frans Pratamarifai Doya Zaki Ulwi, Muhammad Zherina Br Sitepu Zulfa, Zaid Zaidan Zulkaidah Harahap Zulkifli Matondang