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Syahril Syahril

Program Studi Teknik Sipil Fakultas Teknik Sipil dan Lingkungan Institut Teknologi Bandung

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TRAFFIC FLOW DETECTION USING YOLOV4 AND DEEPSORT ON NVIDIA JETSON NANO Taufiq, Reny Medikawati; Syahril, Syahril; Rafdi, Faris Abi; Firdaus, Rahmad; Sunanto, Sunanto; Muarif, Putri Fadhilla
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 3 (2025): Juni 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i3.3871

Abstract: This study aims to develop a Deep Learning-based Traffic Flow Detector to automatically and accurately observe traffic flow. Conventional traffic observation is often conducted manually or via CCTV, but it is prone to human error and difficult to use for real-time trend analysis. In this study, the YOLOv4 method is used to detect four types of vehicles (cars, motorcycles, buses, trucks). To continuously track vehicle movement and address occlusion issues, the Deep SORT algorithm is implemented. The YOLOv4 model used is a pre-trained model and was tested on seven CCTV video recordings obtained from the official website of the Pekanbaru City Transportation Department. The system was implemented on a limited device, the Nvidia Jetson Nano, as a simulation of direct CCTV integration. Test results showed a highest precision of 98%, but the maximum accuracy achieved was only 26%. This low accuracy is influenced by several factors, including video resolution, detection model quality, and lighting conditions. Nevertheless, the system demonstrates potential to support future traffic management and engineering decisions but still requires further optimization, including improving video resolution and quality, retraining the model with a more representative local dataset, using lighter and more accurate detection models, and optimizing the tracking algorithm. Keywords: deep learning; deepsort; NVIDIA Jetson NANO; traffic flow; YOLOv4 Abstrak: Penelitian ini bertujuan mengembangkan Traffic Flow Detector berbasis Deep Learning untuk mengobservasi arus lalu lintas secara otomatis dan akurat. Observasi lalu lintas konvensional sering dilakukan secara manual atau melalui CCTV, namun rentan terhadap human error dan sulit digunakan untuk menganalisis tren secara real-time. Pada penelitian ini digunakan metode YOLOv4 untuk mendeteksi empat jenis kendaraan (mobil, motor, bus, truk). Untuk melacak pergerakan kendaraan secara berkelanjutan dan mengatasi masalah occlusion, digunakan algoritma Deep SORT. Model YOLOv4 yang digunakan merupakan pre-trained model dan diujikan pada tujuh rekaman video CCTV yang diambil dari situs resmi Dinas Perhubungan Kota Pekanbaru. Sistem ini diimplementasikan pada perangkat terbatas Nvidia Jetson Nano sebagai simulasi penerapan langsung pada CCTV. Hasil pengujian menunjukkan presisi tertinggi mencapai 98%, namun akurasi tertingginya hanya sebesar 26%. Rendahnya akurasi dipengaruhi oleh beberapa faktor seperti resolusi video, kualitas model deteksi, serta kondisi pencahayaan. Meski demikian, sistem ini menunjukkan potensi untuk membantu pengambilan keputusan dalam manajemen dan rekayasa lalu lintas di masa depan, namun masih membutuhkan optimasi lebih lanjut, seperti peningkatan kualitas video input, pelatihan ulang model dengan dataset lokal, penggunaan model deteksi yang lebih ringan dan akurat serta pengoptimalan algoritma pelacakan. Kata kunci: deep learning deepsort; Nvidia Jetson Nano; traffic flow; YOLOv4

Earning Per Share Dan Price Earning Ratio Terhadap Harga Saham Perusahaan Transportasi Yang Terdaftar di Bursa Efek Indonesia (BEI) Tahun 2017-2019 Nasution, Lily Karlina; Sitepu, Tunggul; Syahril, Syahril
BISMA Cendekia Vol. 2 No. 1 (2021): BISMA Cendekia - September 2021
Publisher : Politeknik Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Penelitian ini bertujuan untuk menguji earning per share, price earning ratio terhadap harga saham perusahaan transportasi yang terdaftar di Bursa Efek Indonesia tahun 2017-2019. Adapun jenis penelitian yang dilakukan adalah penelitian kuantitatif dengan menggunakan data sekunder yaitu berupa data laporan keuangan tahunan yang diperoleh dari website bursa efek indonesia atau www.idx.co.id. Populasi dalam penelitian ini adalah 7 perusahaan dari 45 perusahaan transportasi yang terdaftar di bursa efek indonesia. Teknik analisa data yang digunakan dalam penelitian adalah analisis statistik deksriptif, uji asumsi klasik, dan uji regresi simultan dan parsial.Berdasarkan penelitian yang dilakukan dapat ditarik kesimpulan bahwa earning per share, price earning ratio memiliki pengaruh secara signifikan secara simultan terhadap harga saham perusahaan transportasi yang terdaftar di Bursa Efek Indonesia. Secara parsial earning per share, price earning ratio berpengaruh positf dan signifikan terhadap harga saham perusahaan transportasi yang terdaftar di Bursa Efek Indonesia tahun 2017-2019.

Aplikasi Website dan Analisis Pertumbuhan Tanaman Terong Hijau, Kangkung Darat dan Sawi Hijau di Kebun Ariani, Suci; Syahril, Syahril
Cerdika: Jurnal Ilmiah Indonesia Vol. 5 No. 3 (2025): Cerdika: Jurnal Ilmiah Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/cerdika.v5i3.2555

Tujuan penelitian ini adalah untuk membuat website tanaman sayuran di kebun menggunakan HTML (Hypertext Markup Language) agar dapat mengedukasi pengunjung dan mengontrol pertumbuhan tanaman. Metode penelitian melibatkan pencampuran pupuk kandang ayam, NPK, dan dolomit yang ditaburkan pada kebun setiap dua minggu. Bibit Terong Hijau dan Kangkung Darat ditanam di polybag, dan setelah satu minggu, sayuran tersebut dipindahkan ke kebun, sedangkan Sawi Hijau dipindahkan setelah 10 hari. Penanaman dilakukan dengan mengatur area: Terong Hijau di tiga area, Kangkung Darat di satu area, dan Sawi Hijau di tiga area. Metode analisis data yang digunakan mencakup statistik deskriptif untuk menggambarkan pertumbuhan tanaman, serta model regresi sederhana untuk memprediksi hubungan antara Hari Setelah Tanam (HST) dan tinggi tanaman. Hasil penelitian menunjukkan bahwa halaman website terdiri dari tampilan muka, halaman untuk masing-masing jenis tanaman, serta grafik hubungan antara HST dan tinggi tanaman, dan antara HST dan jumlah daun. Secara kuantitatif, pada tanaman Terong Hijau, rata-rata pertumbuhan tinggi dicatat sekitar 2 cm/hari, dan jumlah daun meningkat seiring bertambahnya HST. Pada Kangkung Darat, tinggi tanaman meningkat menjadi rata-rata 1,5 cm/hari, sementara pada Sawi Hijau, pertambahan tinggi tanaman tidak signifikan, sekitar 0,5 cm/hari. Kesimpulan dari penelitian ini adalah bahwa aplikasi website berhasil dibangun untuk memberikan edukasi mengenai cara menanam sayur, dan menunjukkan bahwa pertumbuhan tanaman Terong Hijau dan Kangkung Darat menunjukkan tren positif seiring bertambahnya HST, sedangkan pertumbuhan Sawi Hijau relatif stabil.

Optimasi Parameter Support Vector Machine Dengan Particle Swarm Optimization Untuk Prediksi Tunggakan Iuran Sekolah Syahril, Syahril; Medikawati Taufiq, Reny; Taslim, Taslim; Toresa, Dafwen; Fajrizal, Fajrizal; Handayani, Susi
Technologica Vol. 3 No. 2 (2024): Technologica
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/technologica.v3i2.162

Penelitian ini berfokus pada pengembangan model prediktif untuk mengidentifikasi tunggakan iuran siswa di Sekolah Madrasah Ibtidaiyah Muhammadiyah Pekanbaru. Model ini memanfaatkan metode Support Vector Machine (SVM) dengan optimasi parameter menggunakan algoritma Particle Swarm Optimization (PSO) untuk mencapai akurasi prediksi yang tinggi. Data iuran siswa tahun 2022 digunakan sebagai sumber data, dan proses pra-pemrosesan data dilakukan untuk membersihkan noise dan outlier serta mengatasi ketidakseimbangan kelas dengan teknik SMOTE. Model yang diusulkan menggabungkan SVM dengan PSO untuk mencari nilai C dan gamma yang optimal pada model SVM. Hasil penelitian menunjukkan bahwa SVM dengan kernel radial dan 80% data latih mencapai akurasi sebesar 86,39%. Pengujian SVM+PSO dilakukan dengan dua ukuran populasi (10 dan 15) dan 1000 generasi evolusi. Penggunaan 10 populasi menghasilkan akurasi sebesar 89,20%, sedangkan 15 populasi mencapai akurasi 90,64% dengan nilai optimal C=1,4 dan gamma=2,6. Penelitian ini menekankan pentingnya penyesuaian parameter dan strategi evolusi seperti PSO dalam meningkatkan kinerja model SVM untuk tugas mengklasifikasikan tunggakan iuran siswa. Hasil ini menunjukkan bahwa model yang diusulkan mampu memberikan prediksi yang lebih akurat dibandingkan SVM standar, sehingga memberikan kontribusi penting dalam identifikasi dan pengambilan keputusan terkait tunggakan iuran siswa di sekolah

The Development of a Hybrid Learning Management System with Learning Styles for Creative Learning to Undergraduate Students Anugrah, Septriyan; Supendra, Dedi; Jalinus, Nizwardi; Syahril, Syahril; Austin, Diah Anggraini
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2670

Distance learning often poses challenges for teachers, particularly in understanding the diverse learning styles of their students. The inability to recognize and accommodate these differences can lead to monotonous teaching approaches, which hinder students' comprehension and creativity. This study aims to evaluate the application of learning style concepts developed by Peter Honey and Alan Mumford, implemented in a Learning Management System (LMS) designed by the researcher to support creative learning practices. The research method used is research and development with the Plomp model. This study involved 219 students enrolled in an introductory programming course at Universitas Negeri Padang. The results indicate that respondents' experiences in six aspects—attractiveness, clarity, efficiency, reliability, stimulation, and novelty—received favorable evaluations. This study emphasizes the importance of understanding students' learning styles and using appropriate media to create an environment that supports exploring ideas and innovation, enabling students to develop their creativity optimally while ensuring equal opportunities for all students to grow and succeed.

English English Chandra, Rofi; Syahril, Syahril; Ambiyar, Ambiyar; Refdinal, Refdinal
Jurnal Penelitian Pendidikan IPA Vol 9 No SpecialIssue (2023): UNRAM journals and research based on science education, science applic
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9iSpecialIssue.6109

The development video tutorials was carried out to address the challenges in learning CNC/CAM at Vocational High Schools (SMK), especially in the CNC/CAM subject. In this research, the 4D model (Define, Design, Develop, and Disseminate) stages of development were employed, which include needs analysis, design, development, and dissemination. The validation results by media experts and subject matter experts indicate that these video tutorials are highly suitable, with a validity percentage of 89.24% by media experts and 85% by subject matter experts. These results demonstrate that the CAM learning videos developed through the 4D model are suitable for use in the learning process. The development of video tutorials for CNC/CAM learning in vocational high schools can be an effective solution to overcome challenges in students' understanding and skills in this subject. By using the 4D model for development, the high validation results from media and subject matter experts indicate that these video tutorials have excellent quality. The use of these video tutorials is expected to enhance students' understanding and skills in the field of CNC/CAM, which are crucial for their preparation in the industrial world. Furthermore, this research also provides recommendations for utilizing these video tutorials in broader learning contexts, teacher training, and the development of other materials.

Politics and Strategic Action: The Contribution of Political Consultants to PKS's Electoral Success in South Sulawesi Syahril, Syahril; Alim, Irwan; Hawing, Hardianto
Journal of Contemporary Local Politics Vol. 3 No. 2 (2024): December 2024
Publisher : Pusat Penelitian Ilmu Sosial dan Humaniora Kontemporer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46507/jclp.v3i2.694

This study aims to analyze the strategies employed by Abdul Rahman in securing victory as a member of the South Sulawesi Provincial Legislative Council (DPRD) in Electoral District 4. The primary focus of this research is the role of political consultants as independent actors who formulate effective campaign strategies without being involved in other local political dynamics. Using a qualitative method with a descriptive approach, data was collected through interviews and documentation related to the campaign's implementation. The findings reveal that Abdul Rahman's success was supported by strategies emphasizing community-based approaches and strengthening political networks across three regencies: Bantaeng, Jeneponto, and the Selayar Islands. Political consultants played a crucial role in managing relevant local issues and effectively mobilizing mass support, without explicitly targeting specific competitors. By adopting a tailored approach that resonated with the unique socio-political dynamics of each region, Abdul Rahman successfully secured significant votes across all three areas. This study highlights the importance of political consultants in modern electoral campaigns, particularly in crafting strategies that align with local contexts and voter behavior. It also underscores the effectiveness of community-focused campaigns in building trust and garnering support, offering valuable insights for future political campaigns in similar contexts.

The Influence of Mind-Mapping Learning Model on Mathematical Communication Skills and Interests of Students of Elementary School 200110 Padangsidempuan City Nasution, Suriani; Hasratuddin, Hasratuddin; Anam, Rifat Shafwatul; Syahril, Syahril
Continuous Education: Journal of Science and Research Vol. 6 No. 1 (2025)
Publisher : Pusdikra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/ce.v6i1.2445

The study aims to analyze the differences in students' mathematical communication skills through the mind mapping learning model better than those given regular learning, analyze the differences in students' interest in learning mathematics through the mind mapping learning model better than those given regular learning, analyze the interaction between learning and students' initial abilities on mathematical communication skills, analyze the interaction between learning and students' initial abilities on students' interest in learning mathematics at Padang Sidempuan City Elementary School. The sample was determined as many as 54 people consisting of 2 (two) classes. The research design used in this study was an experimental design with a 2x3 factorial. The results of the study concluded that students' mathematical communication skills were taught with the mind mapping learning model better than using regular learning. Students' mathematical communication skills have a high learning interest better than those with a low learning interest. There is an interaction between learning and initial mathematical abilities on students' mathematical communication abilities. There is an interaction between learning and initial mathematical abilities on students' learning interests.

The Influence of the Picture and Picture Model Assisted by Video Media on the Problem Solving Ability and Mathematics Learning Motivation of Students at SDN 100312 Pargarutan Jae South Tapanuli Doharni, Hasnah; Hasratuddin, Hasratuddin; Husein, Rahmad; Syahril, Syahril
Continuous Education: Journal of Science and Research Vol. 6 No. 1 (2025)
Publisher : Pusdikra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/ce.v6i1.2446

The research aims to analyze differences in students' mathematical problem solving abilities through the picture and picture learning model assisted by media and given regular learning, analyze differences in students' mathematics learning motivation through the picture and picture learning model assisted by video media and given regular learning, analyze the interaction between learning and ability students' initial abilities on students' mathematical problem solving abilities, and analyzing the interaction between learning and students' initial abilities on students' mathematics learning motivation at SDN 100312 Pargarutan Jae Tapanuli Selatan. The sample was determined as 62 people consisting of 2 (two) classes. The research design used in this research is an experimental design with a 2x3 factorial. The results of the research concluded that students' mathematical problem-solving abilities through the picture and picture learning model assisted by video media were better than if they were given regular learning at SD Negeri 100312 Pargarut.an Jae Tapanuli Selatan. Students' motivation to learn mathematics through the picture and picture learning model assisted by video media is better than being given regular learning at SD Negeri 100312 Pargarutan Jae Tapanuli Selatan. There is an interaction between learning and students' initial abilities on students' mathematical problem-solving abilities at SD Negeri 100312 Pargarutan Jae Tapanuli Selatan. There is an interaction between learning and students' initial abilities on students' mathematics learning motivation at SD Negeri 100312 Pargarutan Jae Tapanuli Selatan.

The Influence of the Contextual Teaching and Learning Model Assisted by Learning Videos in Improving Student Learning Outcomes and Motivation at SDN Sibangkua South Tapanuli Siregar, Lenni Marlina; Hasratuddin, Hasratuddin; Anam, Rifat Shafwatul; Syahril, Syahril
Continuous Education: Journal of Science and Research Vol. 6 No. 1 (2025)
Publisher : Pusdikra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/ce.v6i1.2447

The research aims to describe the difference in influence between the CTL learning model assisted by learning videos and ordinary learning on students' mathematics learning outcomes, describe the difference in influence between the CTL learning model assisted by video learning and ordinary learning on students' learning motivation, describe the interaction between learning and students' initial abilities on results students' mathematics learning, and describing the interaction between learning and students' initial abilities on students' learning motivation at SDN 100106 Sibangkua, South Tapanuli Regency. The research method used is a quasi-experimental method because students' conditions cannot be controlled. The data analysis technique uses 2x3 factorial Anova. The population of this study were students at SD Negeri 100106 Sibangkua, South Tapanuli Regency for the 2021/2022 academic year. The sample consisted of 2 classes consisting of 1 experimental class and 1 control class. The experimental class with the CTL model was assisted by video learning and the control class was taught using regular learning. The results of the research concluded that there was a difference in students' mathematics learning outcomes using the video-based CTL learning model with an average of 78.83 compared to regular learning with an average of 67.67. There is a difference in students' learning motivation using the video-based CTL learning model with a score of 70.42 and regular learning with a score of 66.07. There is an interaction between the learning model and initial mathematics abilities on students' mathematics learning outcomes (0.006<0.06). There is an interaction between the learning model and initial mathematics abilities on students' learning motivation (0.001<0.05).

Co-Authors A Halim A.A. Ketut Agung Cahyawan W Abd. Rasyid Syamsuri Abdul Aziz Abdul Wahab Abdullah, MT, Dr. Rijal Abdullah, Wahyuddin Abral, Hairul Abrar Tanjung Abrar Tanjung Abrori, Faizul Ade Candra, Ade Adi, Nelfia Aditia, Jefri Afif Rahman Riyanda Aflin Dwi Fajar Afriliyan, Rahmatul Agariadne Dwinggo Samala Aglis Andhita Hatmawan, Aglis Andhita Agus Setiawan Ahmad Fajar Ahmad Husein, Ahmad Ahmad Nurhuda Aini, Nur Rohmatul Aldio, M. Fikhri Alfian Alfian Alim, Irwan Alinur, Armayanti Alisman, Alisman Almansa Fitra, Mohamad Alwifari, M. Qari Alwiyah Alwiyah Ambiyar, Ambiyar Amelia, T. Nurul Rizky Amien, Muhammad Aminuddin, Fattachul Huda Aminuyati Amiruldin, Rizki Amriani, Nilda Ana Fitriyatul Bilgies, Ana Fitriyatul Anam, Rifat Shafwatul Ananda Putri, Ananda Andati, Jilla Andre Kurniawan Andre, Joni Andykhatria, Andykhatria Anisa cairani Anisah Anugrah, Septriyan Aprilia, Nadia Ardian, Ibnu Arham, Zulvika Anisa Arie Saputra Arifhan, Rafly Fadhilah Arisna, Puput Ariyanti, Putri Novira Arsela, Maria Arsuwendi, Arsuwendi Aryanto Aryanto Aulia, Ihsanul Austin, Diah Anggraini Awaludin Awaludin, Awaludin Azhar Azhar Azis, Hasbi Azizah Amini Azizahwati Azizahwati Baehaqi Bambang Hermanto Bambang Sugeng Subagio Bangun, Elsi Titasari Br Barung, Rachmat Basir B Basril, Ali Batubara, Hendra Saputra Bestari, Putri Bestri, Rafikah Boil, Silvermen Boy, Gasper Br Bangun, Lonaria Budi Syahri Bunga Ramadhana, Aisyah Burhanuddin Burhanuddin Cahyani, Dina Cahyo Budi Santoso Caniago, Winda Safitri Catrayasa, I Wayan Chandra, Rofi Citra, Helfira Claudia, Vista Dali, Randi dari, diana wulan Datu Anggareksa Debri Yosintiara Dedi Supendra Dedy Irfan Defi, Wahyu Fitrina Delviandri, Rahmi Desri, Rahmania Desti Syavira Amanda Dewi Widiyastutin Suripto Dewi, Risna Dewi, Wini Efrika Dhea Deswita Sari Dian Ariani Dian Safitri Dicky Wahyudi Doharni, Hasnah Doni Winarso, Doni Dyna Marisa Khairina Edo Arribe, Edo Eke Wince, Eke Elmanisar, Velnika Elwardah, Khairiah Elza, Elza Erizon, Nelvi Ermita Ermita ERNA SURYANI Ernidawati, Ernidawati Erwindani, Erwindani Fadel Mubarak Fadhilah Fadhilah Fadholi, Muhamad Fadly Nendra Fadrial, Yogi Ersan Fahmi Rizal Fajrah, Ria Nur Fajri Hadi Fajri, Suryadi Fajrizal Fajrizal, Fajrizal Fakhruddin Fakhruddin Fakhruddin Z Farilya, Mita Fatriyanto, Fatriyanto Fauni, Arini Maya Fauzia Rahma, Khairo Fauziat, Najwa Zuhuriati Febri Prasetya Febrianti, Ina Febrianti, Sari Febrina, Weli Feronika, Feronika Fikri, Rijalul Firmansyah, Muhammad Maya Fitra, Dinul Fitra, Rizki Fitriadi Fitriadi Fitrisna, Hana Fourinta, Ananda Furqan, Teuku Kamal Gaddafi, Muammar Ganefri . Gaol, Esron Padiri Lumban Ginanjar, Singgih Guci, Taufik Hadiyanto Hadiyanto Hafid Hafid, Hafid Hafis, M Hafsari, Rizka Hakim, Annisa Hamdani, Riza Nugra Hamdhan, Indra Noer Hamler Hamler Hamsir Hamsir Hamzah, Muh. Qardawi Hamzah, Syukri Hanif Muzakki, Naufal Hapzi Ali Harmaini Harmaini Hartana, Hartana Hasbiana Anwar Hasibuan, Zulkarnain Haslina Haslina Hasratuddin Hasratuddin Hawing, Hardianto Hayati, Hazimah Dzikra Hebron, Hebron Hellani, Anisa Helmi Noviar Herlina Herlina Hermansyah, Firman Hermanto, Andi Hery Kresnadi Himawan, Ferdiansyah Hutasoit, Hasudungan Ibrahim Al Razzak Ikhsan, Haerul Iklima Nur Aulia Ilham, Al Ilham, Kurniadi Ilyas Suratman Imron Natsir, Imron Indah Putri Raflianita Indah, Sandra Gamba INDRAYANI INDRAYANI Inggriani, Siska Intan Mayang Sari Irfan Sulthoni Irianto, Kartika Dewi Irma Yulia Basri Irmayani Irmayani Irnawati Irnawati Irsyad, Irsyad irsyad, irsyad Irwansya, Muh. Irzal, Irzal Iwan Iwan Jamil, Muh Jamil, Soraya Nuron Jamilah, Yumn Janah, Fathul Jasrial Jasrial, Jasrial Jasriani, Jasriani Jeffriansyah Dwi Sahputra Amory Joni Taufik Hidayat Juang Akbardin Juita, Ani Sri Junil Adri Jurianto Kadri, Hanif Al Khairul Hadi Khanan, Ryan Mufasil Khojir Kiong, Tee Tze Korompot, Nur Kresnadi, Rosnita KURNIA KURNIA, KURNIA Laden, Delfan Rynaldo Lamsir, Seno Latifa, Dinda Khaira Leli Putri Ansari Lindawati Lindawati Lismaryanti, Lismaryanti Lola Yustrisia Lusi Susanti, Lusi M Said Abdullah M. Nasir M. Rahmad Ma'aruf, Zuhdi Maharani Putri, Yori Mahesi Agni Zaus Mahgrifa Auliana Rahim Mahrizal Mahrizal Maliza, Nabila Manalu, Meyanti Mardaleta, Mardaleta Mardiansyah Mardiansyah, Mardiansyah Marfin, Muhammad Margana, Riki Ridwan Margayasa, I Ketut Mariam Mariam Marjanis, Marjanis Marjoni, Del Marwenny, Elwidarifa Masbur Masbur Masraudhah, Masraudhah Maulianawati, Diana Maurizka Khoirunisa Melda Fajra Metro, Wardi Misti, Afifah Mitri Irianti Mochammad Imron Awalludin Moh. Baqir Ainun Moh. Kurdi Mohammad Herli Mohammad Hidayaturrahman Monalisa, Zainatun Muammar Khaddafi Muarif, Putri Fadhilla Muda, Rudin Mudinillah, Adam Muh. Fadli Muhammad Nasir Muhammad Syarif, Muhammad Mukhamad Ilyasin Muliati, A. Murdiono Murdiono, Murdiono Mustaqin, Iqbal Muzakir Nabawi, Rahmat Azis Nadia Putri Naess, Victor Firstkiel Feber Naila Fauza Naska N, Naska N Nasrun, Moh Nastifauziah, Hafifi Nasty, Aulia zulkarnaen Nasution, Lily Karlina Nasution, Suriani Nellitawati Nellitawati Netriwati Nifriza, Ifna Ningrum, Tia Ayu Nino Sri Purnama Yanti Nizwardi Jalinus Norsafira, Mira Noval Suhendra Novalinda, Rina Novendra, Rizki Noverta, Widiyati Novi Hendri Adi Novi Luthfiyana Nugraha, Wisnu Nur Aisyah Nur Islami Nur Syafaat Nuraini Asriati Nurasyiah, Nurasyiah Nurdin Hendri Nurfaidah Nurfaidah Nurinda, Nurinda Nurrenti, Aulya Sukma Oktofani, Khansa Nuansa Oky Setiawan Paputungan, Andika Pardi, Yusriadi Parijo Parijo Prasasto, Angger Bagus Pratama, Awal pratiwi, juli Preti, Agia Kulkarni Primawati Primawati, Primawati Purnama Yanti, Nino Sri Purwanto, Wawan Purwantono, Purwantono Putri Izzatunnisa Putri Putri, Putri Putri Ramadhani, Putri Putri Riwana, Presti Putri, Anju Maulidhea Putri, Arpini Putri, Aulia Rahmi Putri, Bella R. Rusli Rachmat Barung Rachmiati Sunarya, Fitri Rafdi, Faris Abi Rahayu, Rati Rahmad Cahaya Rahmad Firdaus Rahmad Husein Rahmadayena , Shylfia Rahmatullah, Ramadhani Rahmawati, Milatul Rahmawati, Rahmawati Ramadhan, Ozi Ramadhani, Witri Ramli S Ramli Semmawi, Ramli Raoda, Andini Aisyah Nur Refdinal, Refdinal Reni Dahar Rhena, Rhena Ridha Nuradila Ridwan, Ridwan Rifai, Muhammad Aditya` Rifelino Rifelino Rifma Rifma Risma, Okta Rabiana Risnal Diansyah, Risnal Rispendra, Rispendra Rizky, Fahrul Ronal Watrianthos Rony Wahyudi, Rony Rosdaniah, Rosdaniah Rosidah, Ana Rosidawati Wiradirja, Imas Rosminah, Rosminah Roza, Nelfa Rusdinal, Rusdinal Rusnani Rusnani S, Risa Azka Sabandi, Ahmad sahya anggara, sahya Saiful Badli Saiful Badli, Saiful Saifullah Idris Salim, Rezky Azhari Salma Salma Salmat, Salmat Salny, Revina Samtidar, Samtidar Sanchia Leona, Maidella Santika, Tiara Santoso , Yulianto Santoso, Yulianto Saputra, Arfi Sari Febrianti Sari, Siti Wulan Sarmadan Pohan Sasra Maiharja, Regi Sendi Ramdhani Septya Maharani, Septya Shaputra, M Rio Eka Shifa, Mutiara Siegfried Siegfried Silam, Muhammad Mochtar Mandala Silitonga, May Exaudi Silvia Silvia Simbara, Adam Siregar, Lenni Marlina Sitepu, Tunggul Siti Hajar Thaitami Siti Shania Marirah Siti Zulaikha Sri Utami, Dinda Sri Wahyuni Suci Ariani Sufyarma Marsidin Suhendra, Noval Sukardi Sukardi Sulahyuningsih, Evie Sulastri Sulastri Sunanto Sunanto Sunarto, Suhaera Sururi Sururi, Sururi Surya Ningsih Surya Sanjaya Suryani Musi Susi Handayani Sutan Emir Hidayat Sutejo Sutejo SUTRIONO SUTRIONO Syafrida, Mexi Syahputra, Oktavian Yoga Syahreza Pahlevi Syahruddin Syahruddin Syahrul Syahrul Syaiful Islami Syam, Fahmi Syamsul Muarif Syamsul Rizal Syuhri, Saifuddin Taslim Taslim Taufiq, Reny Medikawati Tonny Judiantono Topik, Alda Toresa, Dafwen Totok Hermawan, Totok Tranminingsih, Utami Trisni, Nurila Trisyaldi, Ar Ummami, Wage Utama, Dian Sandi Utami, Batina Yulia Vilmala, Berry Kurnia Vitalyevna, Sokolova Elizaveta Wahyu Wahyu Wakhinuddin Wakhinuddin, Wakhinuddin Walef, Sri Mures Waskito Waskito, Waskito Wayan Catra Yasa, I Wicaksono, Adam Nur Wide Mulyana Widya Ramadhani Wijaya Panjaitan, Pita Uli Artha Wijaya, Setyawan Ardhi Win Konadi Wulansari, Rizky Ema Yahya Yahya Yanti, Siti Hikma Yelda, Nira Yennita Yonni Kurniawan Yulianta, Agus Giri Yulianti, Lili Yulistio, Didi Yunidar Purnama Sari Yusi Hidjrawan Yusra, Ilhamdi Zahra Meiza Zainal Abadi Zainal Asril Zainuddin, Zaidah Zaky Lutfy Ramadhan Zalzabila Nurul Faizah Zibran, Zibran Zikri, Ahmad Zilfa Zilfa Zuhdi Arman Zuhdi Ma’aruf Zulhelmi, Zulhelmi

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