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Pelatihan Pembuatan Animasi Sederhana Menggunakan Macromedia Flash Untuk Meningkatkan Keterampilan Siswa SMK Karya Utama Tanjungbalai Andriyani, Suci; Efendi, Zulfan; Latiffani, Chitra
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 7 No. 1 (2024): Januari 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i1.2473

Abstract

Abstract: Education plays an important role in quality human civilization to increase human resources globally. This development reflects the close relationship between education, technological innovation and the advancement of knowledge as an integral part of society's social and intellectual evolution. The use of technology-based media is considered to provide significant benefits for both teachers and students in the process of teaching and learning activities. In this context, the education system in vocational schools should explore the potential resources or potential available around the school environment, which are relevant to the demands of the world of work. In an effort to prepare student graduates who are superior and ready to work and are able to compete in the job market, there needs to be preparation in improving the hard skills and soft skills of mature students. This service activity aims to provide assistance and training to Karya Utama Vocational School students through the use of Multimedia Technology as additional skills. The method in this activity applies training and observation to students. As a result of this activity, 85% of students were able to create simple animations using Macromedia Flash software. Keywords: animation; macromedia flash; multimedia; training.
Optimasi Pemanfaatan Penggunaan ChatGPT Dalam Mengolah Bahan Ajar Untuk Guru-Guru SD Christy, Tika; Efendi, Zulfan; Saputra, Roni; Rahim, Radiyan; Wendra, Yumai
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 7 No. 3 (2024): Juli 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i3.3336

Abstract

The sophistication of technology is none other than supported by the development of AI. AI, or Artificial Intelligence, is a technology designed to create a system that mimics human capabilities. The capabilities of AI nowadays are beyond doubt as AI can analyze data quickly, make decisions very accurately, and help process existing data in a short period. ChatGPT is a chatbot developed by OpenAI, designed to understand and respond to natural language input. The utilization of AI-based chat systems like ChatGPT in the context of technology-based education 4.0 provides benefits for both students and educators. The purpose of this community service activity is to enhance the knowledge and creativity of elementary school teachers in the city of Padang.           Keywords: artificial intelligence; teaching materials; ChatGPT  Abstrak: Kecanggihan teknologi tidak lain didukung oleh perkembangan AI. AI atau Artificial Intelligence merupakan teknologi yang dirancang untuk membuat suatu sistem yang meniru kemampuan dari manusia. kemampuan AI untuk saat sekarang ini sudah tidak diragukan lagi dikarenakan AI dapat menganalisa data dengan cepat, bisa membuat suatu keputusan dengan sangat akurat serta dapat membantu dalam hal mengolah data yang sudah ada dalam jangka waktu yang singkat. ChatGPT merupakan chatbot yang dikembangkan oleh perusahaan OpenAI yang dirancang untuk memahami dan merespon masukan bahasa alami. Pemanfaatan sistem obrolan berbasis AI seperti ChatGPT dalam konteks pendidikan berbasis teknologi 4.0 menyediakan manfaat bagi peserta didik maupun pendidik. Dengan adanya kegiatan pengabdian kepada masyarakat ini dilaksanakan  adalah untuk menambah pengetahuan dan kreatifitas guru-guru tingkat SD di kota padang. Kata kunci: bahan ajar; ChatGPT; kecerdasan buatan
Pelatihan Konservasi Terumbu Karang Untuk Berkelanjutan Ekosistem Laut Pada Kabupaten Simeulue Hafli, Teuku Mudi; Fauzan, M; Abdullah, Dahlan; Imanullah, Imanullah; Zulfan, Zulfan; Fazil, M
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 7 No. 4 (2024): Oktober 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i4.3391

Abstract

Most of the Simeulue population depends on marine products for their livelihoods. However, the use of bombs in fishing has posed a serious threat to the sustainability of fish resources, which are crucial assets for the community's welfare. The practice of fishing with bombs not only damages marine habitats, including coral reefs, but also threatens the sustainability of fish resources in the future. If allowed to continue, this can harm marine ecosystems and jeopardize the sustainability of the local economy. To address this problem, training and implementing coral reef conservation using the Coral Adoption method is crucial. This initiative, which involves the Simeulue Regency government, Simeulue Police, and TNI, focuses on the community, especially fishermen. The Coral Adoption method is a marine environmental rehabilitation technique that aims to conserve marine biota, accelerate coral reef growth, and restore threatened ecosystems. The training provides participants with knowledge about the negative impacts of fish bombing and the importance of marine environmental rehabilitation. It also empowers them to stop such destructive practices. Furthermore, participants recognize the long-term impacts of fish bombing on their socio-economic aspects, which ultimately increases their commitment to preserving the marine environment for a better future.            Keywords: fish bomb; coral reef; fishing; fisherman  Abstrak: Sebagian besar penduduk Simeulue bergantung pada hasil laut untuk mata pencaharian mereka. Namun, penggunaan bom dalam penangkapan ikan telah menimbulkan ancaman serius terhadap kelestarian sumber daya ikan yang menjadi aset penting bagi kesejahteraan masyarakat. Praktik penangkapan ikan dengan bom tidak hanya merusak habitat laut, termasuk terumbu karang, tetapi juga mengancam keberlanjutan sumber daya ikan di masa depan. Jika dibiarkan berlanjut, hal ini dapat berdampak buruk pada ekosistem laut dan mengancam keberlanjutan ekonomi lokal. Untuk mengatasi masalah ini, pelatihan dan penerapan konservasi terumbu karang dengan metode Rock Pile menjadi sangat penting. Pelatihan ini, yang melibatkan pihak pemerintah Kabupaten Simeulue, Polres Simeulue, dan TNI, difokuskan pada masyarakat, terutama nelayan. Rock Pile adalah teknik rehabilitasi lingkungan laut yang bertujuan untuk melestarikan biota laut, mempercepat pertumbuhan terumbu karang, dan memulihkan ekosistem yang terancam. Manfaat dari pelatihan ini, peserta tidak hanya memperoleh pengetahuan tentang dampak buruk pengeboman ikan dan pentingnya rehabilitasi lingkungan laut, tetapi juga menjadi lebih percaya diri dalam menghentikan praktik destruktif tersebut. Selain itu, mereka menyadari dampak jangka panjang pengeboman ikan terhadap aspek sosial ekonomi mereka, yang pada akhirnya meningkatkan komitmen mereka untuk melestarikan lingkungan laut demi masa depan yang lebih baik.Kata kunci: bom ikan; terumbu karang; penangkap ikan; nelayan
Teknologi Informasi Digital Marketing Pada Urban Farming Pemasaran Sayur Hidroponik Di Kabupaten Asahan Marpaung, Nasrun; Rahayu, Elly; Efendi, Zulfan; Febbrian, Aldi; Utama, Gita Nurul
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 7 No. 4 (2024): Oktober 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i4.3488

Abstract

This study aims to analyze the implementation of information technology in digital marketing in urban farming, especially in improving hydroponic vegetable marketing in Asahan Regency. The development of information technology has opened up new opportunities for urban farming actors to expand market reach through digital marketing strategies. The research method used is a case study with a qualitative approach, involving in-depth interviews and observations of urban farming actors as well as analysis of the use of digital platforms such as social media, e-commerce, and websites. The results of the study show that the implementation of digital marketing has proven effective in increasing sales and expanding the market, as well as supporting the sustainability of urban farming businesses by increasing product visibility, ease of transactions, and interaction with consumers. However, there are challenges such as limited technological knowledge for some business actors and uneven digital infrastructure. Therefore, training and technological support are needed for hydroponic farmers in order to maximize the potential of digital marketing in improving economic welfare in the urban agricultural sector.Keywords: digital marketing; hydroponics; information technology; urban farming. Abstrak: Penelitian ini bertujuan untuk menganalisis implementasi teknologi informasi dalam digital marketing pada urban farming, khususnya dalam meningkatkan pemasaran sayur hidroponik di Kabupaten Asahan. Perkembangan teknologi informasi telah membuka peluang baru bagi pelaku urban farming untuk memperluas jangkauan pasar melalui strategi pemasaran digital. Masalah yang terjadi di Sigit Hidroponik memerlukan pemanfaatan teknologi dibidang pemasaran produk agar produk dapat terjual dengan baik dan terus mengalami peningkatan agar siklus atau perputaran penamaan dan panen dapat berjalan lebih efekti dan efisien dengan waktu yang lebih produktif. Metode penelitian yang digunakan adalah studi kasus dengan pendekatan kualitatif, melibatkan wawancara mendalam dan observasi terhadap pelaku urban farming serta analisis penggunaan platform digital seperti media sosial, e-commerce, dan website. Hasil penelitian menunjukkan bahwa penerapan digital marketing terbukti efektif dalam meningkatkan penjualan dan memperluas pasar, serta mendukung keberlanjutan usaha urban farming melalui peningkatan visibilitas produk, kemudahan transaksi, dan interaksi dengan konsumen. Namun, terdapat tantangan seperti keterbatasan pengetahuan teknologi bagi sebagian pelaku usaha dan infrastruktur digital yang belum merata. Oleh karena itu, dibutuhkan pelatihan dan dukungan teknologi bagi petani hidroponik agar dapat memaksimalkan potensi digital marketing dalam meningkatkan kesejahteraan ekonomi di sektor pertanian perkotaan.Kata kunci: digital marketing; hidroponik; teknologi informasi; urban farming. 
Peningkatan Hasil Belajar Siswa Kelas IV SD Negeri 2 Bombas Melalui Penerapan Model Problem-Based Learning (PBL) Hikmawati, Hikmawati; Zulfan, Zulfan; Raehani, Baiq Sri
Unram Journal of Community Service Vol. 4 No. 4 (2023): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v4i4.509

Abstract

This community service activity aims to improve the learning outcomes of fourth grade students at SD Negeri 2 Bombas through the application of a problem-based learning (PBL) model. This activity took place at SD Negeri 2 Bombas with 12 participants. The activity was carried out in 2 meetings, namely on August 29 2022 and September 13 2022. The activity method includes 5 steps namely: 1) student orientation to the problem; 2) organizing students to study; 3) guiding individual and group investigations; 4) developing and presenting works; 5) analyze and evaluate the problem-solving process. Data on learning outcomes were obtained from giving cognitive tests at the end of the meeting. The results of the activity showed that student learning outcomes increased from the first meeting to the second meeting, namely from 30% of students achieving KKM at meeting 1 to 95% of students achieving KKM at the second meeting. Thus, the application of the PBL model has improved the learning outcomes of fourth grade students at SD Negeri Bombas. This PBL model can be used as a choice of innovative learning models to be implemented in elementary schools.
Pemasangan Penerangan Menggunakan Plts Untuk Pusat Parawisata Pantai Madani Desa Pambang Pesisir Syah, Khairudin; Efendi, Zulfan; Budiman, Ismail; Prasetyo, Bagas; Lianda, Jefri
TANJAK : Jurnal Pengabdian Kepada Masyarakat Vol 5 No 2 (2024): TANJAK : Jurnal Pengabdian Kepada Masyarakat
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/44syz451

Abstract

Desa Pambang Pesisir adalah bagian dari wilayah Desa Teluk Pambang hasil pemekaran. Desa ini Resmi menjadi sebuah Desa melalui Surat Keputusan Menteri Dalam Negeri dan turunannya kebawah melalui Peraturan Daerah Kabupaten Bengkalis Nomor 9 Tahun 2012 . Cita – cita untuk menjadi sebuah desa, sebenarnya  telah dilakukan pertama kalinya pada tahun 2000. Desa Pambang pesisir memiliki gazebo di Pantai Madani Pambang Pesisir. Pinggiran pantai masih membutuhkan penerangan, ketersedian lampu jalan di pinggir pantai Madani Pambang Pesisir belum terpenuhi secara keseluruhan. Oleh karena itu, perlunya dibuat sistem penerangan lampu tenaga surya sebagai penerangan untuk memenuhi kebutuhan sistem penerangan di sekitar pantai tersebut, sehingga diharapkan dapat meningkatkan kenyamanan dan kemudahan beraktivitas terutama di malam har. Berdasarkan hasil kegiatan, yang dibuat mampu menghasilkan penerangan lapuu untuk di tempat wisata Pantai Madani Pambang Pesisir. Hasil pemasangan penerangan yang menggunakan PLTS  ini telah diserahkan ke Desa Pambang Pesisir  melalui Sekdes Pambang Pesisir  pada tanggal 15 Oktober 2024.
ANXIETY DISORDER IN SOPHIE KINSELLA’S FINDING AUDREY Wulan, Putri Ambar; Sahri, Zulfan
JOURNAL OF LANGUAGE Vol 6, No 1: May 2024
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jol.v6i1.8983

Abstract

This study delves into the portrayal of anxiety disorder in Sophie Kinsella’s novel, Finding Audrey. It aims to comprehensively analyze how anxiety disorder is depicted, as well as to explore the underlying causes and resulting effects on the protagonist. Employing psychoanalytic theories pioneered by Sigmund Freud (1964), this research intertwines the realms of psychology and literature to unravel the complexities of the protagonist's condition. Using a descriptive method outlined by Creswell, the study meticulously examines the novel's narrative to extract pertinent data. Through this approach, the research sheds light on various facets of anxiety disorder as portrayed in the novel. Notably, the analysis uncovers instances where the protagonist grapples with manifestations of anxiety, including feelings of threat and fear, as well as corresponding behavioral responses. The findings underscore the multifaceted nature of anxiety disorder, elucidating its nuanced effects on the protagonist's daily life. For instance, the protagonist’s coping mechanism of wearing sunglasses to evade eye contact serves as a tangible representation of her struggle with social interactions. Furthermore, the narrative elucidates how the protagonist’s anxiety manifests in her reluctance to attend school and her pervasive fear of leaving the safety of her home environment. By meticulously examining the interplay between psychological theories and literary representation, this study enriches our understanding of anxiety disorders while illuminating the narrative intricacies of Kinsella’s work.
REPRESENTATION OF VIOLENCE IN LEILA S. CHUDORI’S LAUT BERCERITA Gultom, Sri Ramadhana; Sahri, Zulfan
JOURNAL OF LANGUAGE Vol 7, No 1: May 2025
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jol.v7i1.11043

Abstract

This study explores the representation of violence in Leila S. Chudori’s novel Laut Bercerita through the theoretical lens of Johan Galtung’s typology of violence—direct, structural, and cultural. Employing a descriptive qualitative method, the research examines how acts of violence are constructed and conveyed through the narrative strategies and language choices of the novel. Findings reveal that violence is not only experienced by the protagonist, Biru Laut, but also by a wider circle of student activists, portraying a collective trauma rooted in Indonesia's New Order regime. The novel encapsulates various forms of violence: physical torture, psychological torment, and functional oppression—all of which are embedded in both the characters' lived experiences and the oppressive sociopolitical systems that surround them. Chudori’s work serves as a literary vehicle to represent silenced histories and resist institutionalized injustice. This research underscores how literature can function as a medium of historical testimony and cultural critique, contributing to the broader discourse on human rights and collective memory. The findings also reinforce Galtung’s theory, affirming its relevance in analyzing representations of systemic and symbolic violence in post-authoritarian literary texts.
SISTEM REKOMENDASI PEMILIHAN PROGRAM STUDI BERBASIS HYBRID MENGGUNAKAN PENDEKATAN DEEP LEARNING Misbullah, Alim; Akbar, Mufid; Nazaruddin, Nazaruddin; Farsiah, Laina; Husaini, Husaini; Zulfan, Zulfan
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 9 No 1 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v9i1.28944

Abstract

Education plays a critical role in shaping career decisions for the future. However, many students encounter difficulties in selecting suitable academic programs, often stemming from a lack of confidence in their ability to make appropriate decisions. Consequently, students may choose study programs that do not align with their personal characteristics. This study emphasizes the importance of providing comprehensive information about various academic programs offered in higher education and developing tools to assist prospective students in making informed decisions. To address these challenges, a recommendation system using Hybrid Filtering technology has been developed. The system integrates Content-Based Filtering and Collaborative Filtering methods within the TensorFlow Recommenders System (TFRS) framework. The study utilized data from undergraduate students of the Faculty of Mathematics and Natural Sciences (FMIPA) across seven academic programs. By employing 10 features representing students' interests and talents, the recommendation system generated accurate and tailored suggestions for study programs. The model was trained and evaluated using both real and augmented (augmented) datasets with predefined hyperparameters. Results demonstrated that using only the real dataset achieved a Top-1 accuracy of 0.59 and a Top-5 accuracy of 0.97. When incorporating the augmented dataset, the Top-1 accuracy improved to 0.66, while the Top-5 accuracy reached 1.0. The findings reveal that combining real and augmented datasets enhances average accuracy by approximately 10% compared to using the real dataset alone. Additionally, the study program recommendations produced by the model showed significant improvement in quality. A web-based recommendation system utilizing the TFRS model was developed and positively evaluated by FMIPA students. User feedback indicated high satisfaction with the system's recommendations, demonstrating its effectiveness in guiding students toward suitable academic programs.
Implementasi Metode Naive Bayes Untuk Klasifikasi Penerima Program Keluarga Harapan Arifin, Andhini Asri Awaliyah; Handoko, Wiwin; Efendi, Zulfan
J-Com (Journal of Computer) Vol. 2 No. 1 (2022): MARET 2022
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v2i1.1577

Abstract

Abstract: The Family Hope Program (PKH) is a government program in the form of cash for Very Poor Households (RTSM) whose qualifications are met related to efforts to improve human quality, not in the field of education but also health. In the short term, the PKH program is calculated to reduce the expenditure of poor families and reduce poverty in the long term. To receive the PKH Program) the government has set several criteria, including income, house ownership status, house size, floor type, roof, wall, and type of water source. As for the way to do the settlement of the criteria that have been set, namely by utilizing the Data Mining technique through the Naïve Bayes method. The dataset in this study is the data of recipients of the 2020 Family Hope Program as many as 82 samples. The results of the classification modeling with the Naïve Bayes Algorithm produce precision values for the positive class 100%, for the negative class 77%, the recall value for the positive class 80%, for the negative class 100%, the f1-score value for the positive class 89%, for the negative class 87%, and 88% accuracy value. The purpose of this research is to help the Social Service in classifying the recipients of the Family Hope Program (PKH). Keywords: The Family Hope Program; Data Mining; Naïve Bayes  Abstrak: Program Keluarga Harapan (PKH) merupakan program pemerintah dalam bentuk tunai untuk Rumah Tangga Sangat Miskin (RTSM) yang kualifikasinya terpenuhi terkait dengan upaya peningkatan kualitas manusia tersebut bukan dalam bidang pendidikan tetapi juga kesehatan. dalam jangka pendek Program PKH diperhitungkan bisa mengurangi biaya pengeluaran keluarga miskin serta mengurangi kemiskinan dalam jangka panjang. Untuk menerima Program PKH) pemerintah sudah menetapkan beberapa kriteria, diantaranya Penghasilan, Status Kepemilikan Rumah, Ukuran Rumah, tipe Lantai, Atap, Dinding, serta jenis sumber air. Adapun cara untuk melakukan penyelesaian terhadap kriteria yang sudah ditetapkan yaitu dengan memanfaatkan teknik Data Mining melalui Metode Naïve Bayes. Dataset dalam penelitian ini adalah data penerima Program Keluarga Harapan tahun 2020 sebanyak 82 sampel. Hasil pemodelan klasifikasi dengan Algoritma Naïve Bayes menghasilkan besaran nilai precision untuk kelas positif 100%, untuk kelas negatif 77%, nilai recall untuk kelas positif 80%, untuk kelas negatif 100%, nilai f1-score untuk kelas positif 89%, untuk kelas negatif 87%, dan nilai akurasi 88%. Tujuan dilaksanakannya penelitian ini adalah untuk membantu Dinas Sosial mengklasifikasikan penerima Program Keluarga Harapan (PKH). Kata kunci: Program Keluarga Harapan; Data Mining; Naïve Bayes 
Co-Authors *Rahmatillah Rahmatillah ,, Mawardi -, Juandi -, Nofrizal . Elvitriana A Putri, Kartika Abd, Misswar Abd, Miswar Abda Abda Abdar, Yusrijal Abdul Azis Abdul Azis Abdul Karim Abdurrazaq Abdurrazaq, Abdurrazaq Abu Asyari Abu Asyari, Abu Achmad Fariz Achmmad Mustaqim, Wendy Adam Adam Ade Rifqi Hawari Adhima*, Faudhan Adina Sari Pratiwi afiqah, siti salma Agus Hendra Al Rahmad Agustina, Elta Ahmad Firdaus, Ahmad Ahmad Syuhada Ahmadiar, Ahmadiar Ahsanur Rizqi Aida Afrawati Ain, Qurratul Aisyah Putri Andriani Siregar Akbar, Mufid Al Fajar, Beni Al Munawir Al-kautsar Al-kautsar Al-Munawir, Al-Munawir Alfi Puadi Alfian Alfian Alhakimi, M. Kamil Ali, Muhammad Abdullah Ali, Nurbaiti Alifah, Nurul Alkhalefi, Dhani Allaily Allaily Allaily Allaily Almasdi Syahza Amanda Amanda Amir Awaluddin Amiruddin Amiruddin Ananda, Cut Tiara Anas Anas, Anas Andang Suhendi Andhari, Yunita Putri Andhyni B, Putry andriyani, suci Anisa, *Tihaya Annisa Nopriani Anzani Manurung, April Liza Anzari, Mudhafar Arbanur Rasyid Ardinsyah, Rangga Arfan Arfan Arifin Arifin Arifin Arifin Arifin, Andhini Asri Awaliyah Ariga, Muhammad Faris Arlis, Arlis Armi, Mhd. Ilham Armia, Yasser Aryadi Aryadi Asasriwarni Asasriwarni Asasriwarni Asasriwarni Asasriwarni Asrialdi*, Asrialdi asrizal, cynthia wahyu Aureliya, *Tasya Auzar, Auzar Ayu Lestari, Putri Ayumi, Monica Azhar Azhar Azhar Azhar Azmal, Azmal Azwar, Zainal Bachtiar, Dandi Badriya Hazam Baehaqi Bambang Kurnia Barus, Efriansyah Putra Bahari Basuki , Beby Andina Syafindri Budiman, Ismail Bulqis, Shoffia Cahaya, Putri Kilan Cahyaning Asnikaweny Caska - Chairiyah Jambak, Maulidina Chelry Indra Chendy Prima Sari Cut Nanda Nurbadriani Daeng Ayub Dahlan Abdullah Daniel Happy Putra Darmawan, Aldy Darmawan, Aldy Darmawan Darwin Darwin Daska Azis Dasrul Dasrul Dedi Afandi Dedi Satria Delvian Delvis, Yesica Desi Sinamo, Yemima Desis Tri Yenti Desvita, Yenny Devi Dwi Kurnia Dewi Astini Dewi Mulyati Dhana, Muhammad Bayu Al Didik Setiyadi Dina Zakiyah Dinansih, Elin Dini Syahriza Fahlevi Diyarti, Sisi Donal Donal Donal, Donal Dwi Angga Pradipta Dwiny Meidelfi Dwitya, Yonadiah Dyah Tricami Astuti Earlia, Nanda Ego Syaputra Eko Budi Harsono Eko Budianto Elda Nazriati Elfia Elfia Elfiani Elni Yakub Elsa Elvionita, Elsa Elvionita Erdiwansyah Erdiwansyah Erdiwansyah, Erdiwansyah ERMAN ERMAN Erni ' Erwin Erwin Estiko, Reza Ishak Eti Poncorini Pamungkasari Evanita Lubis, Dian Evy Marta Meranty Folia Fadly, T Andi Fahnita Mulia Pratiwi Faji, Rahmatul Fajri, Muhammad Iqbal Fanisa, Dian Farsiah, Laina fatayat, Nurul Fauzah Nur Aksa Fauziati, Mirna Fazil, M Febbrian, Aldi Febrina Novitasari Ferry Fatnanta Feti Bimariya Suwita Firdaus Firdaus Fiska Dwi Rahmadani Fitra, Jaunda Fitri Rahmadani Fitri Setiowati Fitriani Fitriani Furqan Furqan G Wibowo, Sara Ghazali Syamni Gina Purnama Sari Gultom, Sri Ramadhana Gusriana Rahmayani Hambali Hambali Hamdani Harahap Handam Handam, Handam Hapzi Ali Hardianta, Hardianta Hary Murcahyanto Harys Yusdar Rizki Hasanuddin, Iskandar Hasibuan, Nustan Helfianti, Sutri Hendriyansyah Hendriyansyah Henny Srimulyani Heppi Yuslita Herawati, Rama Herinawati, Herinawati Hidayat, Amam Taufiq Hidayati, Agus Hikmawati Hikmawati Humayra, Sekar Mala Husaini Husaini Husaini Ibrahim Husni Husni Husni, Teuku Muhammad Ibnu Affan Ibnu Hakim Ibnu Phonna Nurdin, Ibnu Phonna Ibrahim Siregar Ichsan Setiawan Ida Ayu Putu Sri Widnyani Ihza, Muhammad Herizal Ikhwan Ikhwan Ikhwan Ikhwan Ikram, Tubagus Pasca Faiz Ikramullah, Ikramullah Ilhammuddin Arrasyid Matondang Imanullah, Imanullah Indrawarman Soeroharjo Insani, Silvi Sri IQBAL , MUHAMMAD Irawati Irawati Irawati Irawati Irsyah, Ahmad Aziz Irwan Safwadi Irzan, Muhammad Anwar Isjoni Isjoni Ismida, Fitri Dewi Iswanto, Sufandi Jamaluddin Jamaluddin Jamilah*, Siti Jelani, Ahmad Bakhtiar bin Johari Johari Julhadi, Julhadi Jureni, Jureni K, Vidra Kayla Arrosa Diputri Kesuma, T Bahagia Khairudin Syah Khairul Khairul Amri Khairunnisa, Syifa Nuri Khamidah Khamidah Kulsum Kulsum, Kulsum Kurnia Vivi Elida Lagus, Wegestin Latiffani, Chitra Layla, Desteny Leni Rahmawati Lianda, Jefri Lubis, Rizki Pangidoan Lubis, Suci Ramadhani Lubis, Yaumil Titi Faila Lukman Hakim Lukman T.Ibrahim Lulusi Lulusi M Fauzan M. Aman Yaman M. Arifin Arifin M. Rizki Rayyandi M.Aman Yaman Mahbubah, Umi Syahara Mahdum Mahfuzh, Hafizul Majid, Hamidun Manurung, Rauf Sharim Mardhatillah, Fitria Mardianis Mardianis Mardina, Vivi Marpaung, Hari Jalsa Marpaung, Nasrun Maryani Maryani Maryati Puteri Septami Marzatillah, Siti Marzuki Marzuki Masri Elpiwati Siregar Masriadi, Masriadi Maulana, Fahmi Setia Maulana, Gempa Maulida Fitria Maulidah, Chabibatul Maulidiya, Rizki Maulinda, Maulinda Melly Surti Ningsih Mirfa, Enny Misbullah, Alim Misroji, Misroji Mohd Hasmadi Ismail Mohd Zahir, Mohd Zamre Muchlis Bahar Mudatsir Mudatsir Mudhafar Anzari Muhammad Abrar Muhammad Adli Abdullah, Muhammad Muhammad Ammar Muhammad Daud Muhammad Daud Muhammad Fuadi Muhammad Hafidz, Muhammad Muhammad Haikal Muhammad Haikal Muhammad Hasanuddin, Muhammad Muhammad Hatta Muhammad Muhammad Muhammad Niza Andria Muhammad Syamsu Rizal MUHAMMAD TAUFIK Muhammad Yusuf Muhammad Zikri Muhartini Mrs., Muhartini Muksalmin, Muksalmin Mulia, Muhajir Aji Muliana, Raudah Mulkan, Andi Mulyadi Mulyadi Munawir M Munawir Munawir Munawir Munawir Munawir Munawir Munawir Munawir Munawir, Munawir, Murtadha, Raihan Musifuddin Mustiqa ' Muta'allim, Muta'allim Muti Miftahul Jannah Mutia Rahmah Muttaqien Muttaqien N. Nazaruddin Nadhirah, Nadhirah Nadia Putri Nadila, Nurul Nailis Sa'adah Nailissa’adah, Nailissa’adah Nanta, Pratiwi Nanta Andreani Nasri, Ahmad Luthfy Nasruddin Nasruddin Nasution, Gabe Martua Nasution, Usman Nelsy, Asma Newton, Newton Nizam Albar Nur Amalina, Sharfina Nur Latifah, Nur Nuraini Nuraini Nurasiah Nurasiah Nurasiah Nurasiah Nurchalidah, Siti Nurdian Ningsih Nurhanif, Nurhanif Nurhapizah Nurhapizah Nurlela Nurlela Nuzul Misra Oktaviani, Novi Oktaviodes, Alfiandinov Pandan Yudhapramesti PE Sari, Herlina Pradistha, Aldilla Prasetyo, Bagas Puji Ratno, Puji Purnomo Purnomo Purwarno, Purwarno Putera, Muzakkir Putri, Kartika Aprilia Raden Mohamad Herdian Bhakti Raehani, Baiq Sri Rafif Firdaus Rahamtillah*, Rahmatillah Rahayu Putri Anisa Rahayu, Elly Rahayu, Endang Purnawati Rahayu, Tria Rahim, Radiyan Rahmat Hidayat Rahmatillah, *Rahmatillah Rahmawati, Rahmawati Rahmi Khairani Raja Arlizon Ramadhani, Andrew Ramadhani, Cut Sukma Ramazan, Ramazan Ratna Lestari Ratna Sary Retnowaty Wulyadi Reza Puspita Sari Reza, Muhammad Kemalsyah Riady, Muhammad Antos Rido Manik, Syah Ridwan Manda Putra Riezty Anggia Novita Rifchi Anggari Rika Fitri RIKI RIKI, RIKI Riki Sukiandra Rini Wil Azmi Risfandi, Marsal Risnawati Risnawati Rizal Fahmi Rizal Fahmi Rizaldi, Fakhri Rizki Suci Ananda Rizky Putra Fhonna Rizqon Jamil Farhas Roby Maiva Putra Roni Saputra, Roni Rosmaini Hasibuan Rosmawati ' Rosmawati Rosmawati Rosmawati Rosmawati Rudiansyah Putra Ryla, Cut Sa’adah, Nailis Sabudi, I Made Nugraha Gunamanta Safii, M. 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