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All Journal Teknika Jupiter Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) JUITA : Jurnal Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika SemanTIK : Teknik Informasi QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama SISFOTENIKA Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Jurnal EMT KITA JURNAL MEDIA INFORMATIKA BUDIDARMA Informatics for Educators and Professional : Journal of Informatics SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Persada Husada Indonesia INTECOMS: Journal of Information Technology and Computer Science JSiI (Jurnal Sistem Informasi) JURNAL PENDIDIKAN TAMBUSAI Journal on Education Informasi Interaktif JURNAL TEKNOLOGI INFORMASI TAPAK (Teknologi Aplikasi Konstruksi) : Jurnal Program Studi Teknik Sipil Progresif: Jurnal Ilmiah Komputer Jusikom: Jurnal Sistem Informasi Ilmu Komputer TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Pendidikan dan Konseling Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Sistem Informasi dan Informatika (SIMIKA) Journal of Applied Engineering and Technological Science (JAETS) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknik Elektro dan Komputasi (ELKOM) JATI (Jurnal Mahasiswa Teknik Informatika) INFORMASI (Jurnal Informatika dan Sistem Informasi) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Sistem Komputer & Kecerdasan Buatan REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian Masyarakat Khatulistiwa Reswara: Jurnal Pengabdian Kepada Masyarakat Just TI (Jurnal Sains Terapan Teknologi Informasi) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Nasional (JPN) Indonesia SENADA : Semangat Nasional Dalam MengabdI Jurnal Cahaya Mandalika Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Sosial dan Teknologi Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Tika Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) JUTECH : Journal Education and Technology Jurnal Widya Conten : Computer and Network Technology AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Pendidikan Sains dan Komputer International Journal Software Engineering and Computer Science (IJSECS) Jurnal Informatika Teknologi dan Sains (Jinteks) Malcom: Indonesian Journal of Machine Learning and Computer Science DEVOTE: Jurnal Pengabdian Masyarakat Global International Journal of Science and Environment Cross-border CKI On Spot SmartComp SENADA : Semangat Nasional Dalam Mengabdi Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia Journal Innovations Computer Science Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Informasi interaktif : jurnal informatika dan teknologi informasi
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Deteksi Kerusakan Jalan Berdasarkan Citra Digital Menggunakan Convolutional Neural Network (CNN) Mulyana, Dadang Iskandar; Wahyudi, Ilham
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1192

Abstract

Highways are a connection between an area or region to another destination. The rapid construction of highways in big cities is not comparable to the improvement and rearrangement of damaged roads in several areas. Most of the damaged roads are caused by heavy vehicle traffic or heavy loads with quite frequent intensity, as well as natural disasters such as floods and earthquakes. This of course disrupts the traffic system, and is quite dangerous for drivers who often pass through areas where there are many damaged roads. With these obstacles, this study aims to build a system that can detect road damage through digital image capture using the convolutional neural network method. The results of this study obtained a road damage detection accuracy value reaching 80%.
Klasifikasi Absensi Face Geo-Location Menggunakan Metode CNN pada PT Indomarco Prismatama Mulyana, Dadang Iskandar; Aribatullah
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1193

Abstract

The rapid development of information technology forces companies to continue to improve operational efficiency, including in managing employee attendance. An accurate and efficient attendance system is essential to monitor employee attendance and ensure operational effectiveness. However, traditional attendance using fingerprints still has weaknesses, such as the potential for data manipulation through NIK input without physical presence. This study aims to develop a facial recognition-based attendance system using the Convolutional Neural Network (CNN) method that can ensure employee attendance in real-time. This technology is expected to improve the accuracy and reliability of the attendance system, as well as reduce the potential for fraud. The implementation of this system at PT Indomarco Prismatama, known as the Indomaret retail network, aims to simplify the attendance process for field employees and make it easier for management to monitor employee attendance in various locations.
Implementasi Sistem Penerjemahan Bahasa Isyarat dengan Metode Pengenalan Ucapan Mulyana, Dadang Iskandar; Septiani, Novi
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1194

Abstract

The rapid development of technology certainly brings many benefits to the surrounding environment, several factors are helped by the advancement of technological tools, especially to help people with disabilities, currently people with disabilities, especially the mute, often have difficulty communicating, several factors affect the limited understanding of people with disabilities with the surrounding community, for example, the limited hearing of people with mute. With this background, a tool is needed that is able to translate Indonesian into sign language so that it can help people with disabilities and the community in communicating and living in society. This study uses the speech recognition method in its application, the results of the study reached an accuracy value of 80%.
Klasifikasi Jajanan Tradisional Jawa Tengah Dengan Metode Transfer Learning Dan MobileNetV2: Metode Transfer Learning Dan MobileNetV2 Aloisius Awang Hariman; Dadang Iskandar Mulyana; Mesra Betty Yel
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 8 No 1 (2023): JII Volume 8, Number 1, Januari 2023
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jii.v8i1.15

Abstract

Perkembangan zaman di Indonesia telah membawa perubahan sejarah budaya, salah satunya adalah makanan atau jajanan tradisional. Jajanan tradisional merupakan makanan khas dari nenek moyang dan biasanya digunakan untuk acara atau sebuah tradisi, Masyarakat di Indonesia sudah cukup mengenal berbagai jenis jajanan tradisional dari daerah masing-masing namun untuk mengenal jajanan tradisional dari daerah lain dapat dibilang kurang memahami. Banyaknya jajanan tradisonal yang ada di Indonesia khususnya di pulau Jawa membuat peneliti tertarik untuk membuat program pengenalan jenis jajanan tradisional yang ada di Jawa Tengah berdasarkan dataset foto dengan 6 jenis jajanan tradisional yaitu Grontol, Lanting, Lumpia, Putu Ayu, Serabi Solo dan Wajik menggunakan metode Transfer Learning. Implementasi pengenalan citra ini dilakukan dengan memanfaatkan Pre-Trained model MobileNetV2 yang diambil fitur ektrasinya kemudian training CNN berjalan pada aplikasi Google Collaboratory dan Tensorflow. Dataset yang digunakan dalam pengujian sebanyak 1800 data training atau sebesar 80% dan 450 data testing atau sebesar 20% dengan melakukan pengujian sebanyak 50 kali dan batch size sebesar 32, maka diperoleh hasil akurasi sebesar 99,11% nilai loss sebesar 0.06. Keywords : jajanan tradisional, CNN, MobileNetV2, transfer learning, tensorflow
Development of an Educational Game for Food Capture Based on Augmented Reality Using Face Mesh Detection and Computer Vision Sadid, Muhammad Arib Umar; Mulyana, Dadang Iskandar; Gunawan, Dedi
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3031

Abstract

This study aims to propose an educational game for newborns around 4 months old who do not yet know how to distinguish objects that should not be put in their mouths. This seems very normal when it occurs during this stage of life, but it should be encouraged with educational tools — because eating objects that are not food can cause choking or suffocation. AR technology provides an interactive and engaging learning environment by overlaying digital information on the physical environment. The game also uses Computer Vision technology such as Face Detection and Recognition to control user interaction based on body movements. By combining computer vision, the game provides a new and dynamic way to increase user engagement, introducing new opportunities for the development of interactive educational games for young children
Classification of Image Corner Point Detection Systems to Identify a Shape Dadang Iskandar Mulyana; Fiktor Kurnia Tofano
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 1 (2025): Februari: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v3i1.721

Abstract

Study This contains about the detection of circular object images. The circular object tested is the moon image object, the moon image was chosen because the moon image has various moon shapes, namely the full moon, half moon and crescent moon. To detect the shape of the circular object image, several stages are carried out by starting the image segmentation process. (1) The segmentation process using the bi-level thresholding method makes the image black and white, (2) after that the image is repaired with the morphological process of the opening and closing methods. (3) For training data, the shape extraction process is carried out, namely the circular nature of the object (circularity) to determine the roundness of an object. For the testing process, the same process is also carried out as the process of obtaining circular image detection.
Optimasi Penerapan Metode Text Recognition Dalam Fitur Catatan Otomatis Berbasis Mobile Mulyana, Dadang Iskandar; Yel, Mesra Betty; Rahmanto, Muhammad Dzaky
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i2.634

Abstract

This study discusses the optimization of Machine Learning Kit Text Recognition in creating an automatic note feature based on mobile devices. Machine Learning Kit Text Recognition is used to recognize text captured from photos taken by users. In this study, a mobile application was developed to allow users to create automatic notes by taking pictures of documents or texts, which are then recognized and transformed into editable digital text. This feature can help users to create notes more quickly and easily, as well as avoid errors in manually typing the text. In addition, the test results show that Machine Learning Kit Text Recognition is capable of recognizing text with fairly high accuracy, effectively recognizing text from various texts and fonts, supporting uncommon languages, preserving user privacy, and being able to perform text recognition processes offline or with more efficient resources. Therefore, the automatic note feature can run well on mobile applications built using Machine Learning Kit Text Recognition technology.
Deteksi Objek bertumpuk Gerak Tangan Bahasa Isyarat SIBI dengan Algoritma LSTM-Holistic Mulyana, Dadang Iskandar; Putra, Guruh Taruno
INTECOMS: Journal of Information Technology and Computer Science Vol 8 No 2 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v8i2.14556

Abstract

Tantangan yang dihadapi individu dengan gangguan pendengaran dalam berkomunikasi, terutama di lingkungan yang kurang mendukung komunikasi visual, menegaskan pentingnya bahasa isyarat sebagai media utama. Di Indonesia, dua sistem bahasa isyarat yang menonjol adalah SIBI (Sistem Isyarat Bahasa Indonesia) dan BISINDO (Bahasa Isyarat Indonesia). Namun, kompleksitas dan nuansa bahasa isyarat, termasuk gerakan bertumpuk dan gerakan dinamis, menjadi hambatan signifikan dalam pengenalan dan penerjemahan yang akurat. Penelitian ini mengusulkan sistem pengenalan bahasa isyarat SIBI secara real-time dengan memanfaatkan algoritma Long Short-Term Memory (LSTM) dan kerangka Mediapipe-Holistic. Teknologi ini diintegrasikan untuk memproses gerakan dinamis dan gerakan tangan bertumpuk dengan efisien. Sistem ini dirancang untuk menerjemahkan gerakan bahasa isyarat menjadi teks. Dengan teknik pembelajaran mesin, sistem ini akan menggunakan data yang diambil secara privat sebanyak 14,400 untuk setiap gerak bahasa isyarat. untuk melatih model agar dapat mengenali gerakan serta mampu beradaptasi dengan berbagai gaya komunikasi dan kondisi lingkungan data akan dibagi menjadi 80:15. Penelitian ini mencapai akurasi deteksi 99.3% berdasarkan F1-Score yang memungkinkan model untuk melakukan deteksi gerak bahasa isyarat SIBI secara akurat.
OPTIMIZING THE IMPLEMENTATION OF THE YOLO AND DATA ALGORITHM AUGMENTATION IN HANACARAKA JAVANESE SCRIPT LANGUAGE CLASSIFICATION Ikhsan, Ikhsan; Mulyana, Dadang Iskandar
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 7 No. 1 (2023): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v7i1.4062

Abstract

The Javanese language and Javanese script are one of the rich cultural heritages in Indonesia, but there are still many people who do not have sufficient understanding of the Javanese language and culture, including the Javanese script. This can have an impact on the loss of language and cultural diversity, as well as the loss of the local identity of the Javanese people. The lack of knowledge about Javanese script language culture can be caused by various factors, such as the lack of access to adequate learning resources, the minimum use of Javanese language and script in daily life, and the lack of attention from the government and society towards the preservation of Javanese language and culture. This study aims to optimize the application of the YOLO (You Only Look Once) algorithm and data augmentation techniques in the Javanese language classification Hanacaraka script. The method used in this study was collecting data on Javanese Hanacaraka script images, data labeling, data augmentation, and model training using the YOLO algorithm. The results showed that the Javanese script pattern recognition method used the YOLO algorithm which had gone through the data augmentation process, showing good results with an accuracy of 96.4% using 3021 image data sources for the hanacaraka letters.
Health Detection of Betal Leaves Using Self-Organizing Map and Thresholding Algorithm Dadang Iskandar Mulyana; Ahmad Saepudin; Mesra Betty Yel
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.664 KB) | DOI: 10.37385/jaets.v4i1.957

Abstract

Betel leaf is one of the plants that is widely used as a natural or traditional medicine by the community, natural treatment with the use of plants is relatively safer. But there is a problem when we choose healthy betel leaves because of our mistakes in choosing which betel leaves are healthy and which are not. With this research the authors aim to detect healthy and sick betel leaves using data collection. Feature extraction used is the value of Red, Green, and Blue (RGB) and Hue, Saturation, and Value (HSV) to get the characteristics of the color image. Then the results of the feature extraction are used to classify the health of green betel leaves using the Self-Organizing Maps method. The green betel leaf data used is 1500 images for train data and 450 images for testing data are image test data, test data that produces an evaluation value with an accuracy value of 97.20% on the Self-Organizing Maps method.
Co-Authors Abdillah, Gipari Pradina Abdul Hafidz Abdul Shomad Abdullah Al Faruq Adawiyah, Rizky Adi Riswan Adicandra, M. Dicky Afriandika, Riko Agung Pratama Agung Pratama Agung Rizki Zamzami Agung Saputra Agus Sigit Sumarsono Ahmad Bustomi Zuhari Ahmad Bustomi Zuhari Ahmad Bustomi Zuhri Ahmad Saepudin Ahmad Saepudin Ahmad Zulfikar Aidil Rizki Hidayat Aimar, Muqorrobin Aji Aji Dwi Prasetyo Aji Suswantoro Akbar, Yuma Akbarulloh, Feri Akhsani, Ziyat Akmal, Roid Adip Akmaludin Akmaludin Al Ammar, Muhammad Farros Alannuari, Fiky Albahy, Abdurrahman A. Aldi Sitohang Alfiani Damaiyanti AlfianiDamaiyanti Ali Akbar Ali Akbar Ali Akbar Ali Muhammad Faadhil Ali Yafi Zulkarnain Alifah, Rifdah Aloisius Awang Hariman Amat Solihin Amrullah, Aziz Septian Andi Anto Diarjo Andriyana Fajar Andy Manuel Prima Angga Tristhanaya Anggit Purnama Anggraeni, Eka Anisah Wulandari Apian Candra Aditya Ardana, Tegar Rizky Ardiyansyah, Ferry Ari Ramadhan Ari Surya Jaya Ari Surya Jaya Aribatullah Arief Sofyan Arief, Yoga Sofyan Arinal, Veri Aris Sufriman Arisenja, Ni Luh Bumi Arpinda Arpinda Asep Maulana Asep Ovid Afidin Asep Ovid Afidin Aswad, Hazrul Asyrofie, Maulana Azhar Atik Budi Paryanti Awaludin Awaludin Awaludin Awaludin, Awaludin Ayu Saputry, Yulia Yanti Aziz Septian Amrullah Aziz Septian Amrullah Azizah Mahary Azwar Anas Manurung Azzahra, Salma Latifa B, Muhamad Hasbi Toharudin Bahari, Muhamad Hasbi Toharudin Banase, Samuel Figo Bashir, Ade Abdul Bela Dina Betty Yel, Mesra Betty Yel, Mesra Bintoro, Bayu C.Afif Firas Cahyana, Adella Fitriany Calvin Bill Roring Candra Milad Ridha Eislam Choirul Huda Debby Ramadhina Salsabilla Dedi Gunawan Dedi Gunawan Dedi Iskandar Dedi Iskandar Dedi Iskandar Deny Saputra Dewi Riyanti Wibowo Dewi Riyanti Wibowo Dheo Hanif Pristian Dhiva Andini Putri Alinur Diana Barsasella Dita Yuliana Donaldo, Evan Dwi Lestari Edi Edi Eka Anggraeni Eka Maheswara Eka Okta Putri Sulaiman Eka Okta Putri Sulaiman Eka Putri Aprillia Eka Satria Maheswara Eka Satria Maheswara Ependi, Soleh Erno Sumantri F, Joe Renaldy Fadhil Khanifan Achmad Fadhil, Ali Muhammad Fadiliah, M. Ilyan Fadillah, Fauzan Fadlan, Muhammad Fahmi Nurul Huda Faisal Akbar Faisal Akbar Faisal Akbar Nasution Faizal Joko Perwitosari Fajar, Andriyana Fallah, Ahlan Nur Farhan, Mohammad Farida Indah Riantini Farisyihab, Joe Renaldy Fatchur Rochman Fatonah Fauzan Azima FauzI Ramdhani Feni Citra Dewi Feri Akbarulloh Fernanda Adhipramana Ferry Fajar Pratama FikriYadi FikriYadi Fiktor Kurnia Tofano Fiktor Kurnia Tofano Fiky Alannuari Firas, C.Afif Firhan Ali Franido, Richard Fransiscus Rolanda Malau Fransiscus Rolanda Malau Galih Satria Yacob Genisa, Lenggo Ghofurur Nawangsah Gilang Ramadhan Gilang Ramadhan Gipari Pradina Abdillah Gusniar Alfian Noor Gusniar Alfian Noor Hakim, Muhammad Ikhsan Handrianus Saldu Herdiyansyah Hartanto Herdiyansyah herdi Hartanto Hermawan Susanto Hidayat, Aditya Zakaria Hidayat, Nurhikmah Hudhoifah, Maula Abi Hudzaifah, Salim Maula Ikha Novie Tri Lestari Ikha Novie Tri Lestari Ikhsan Ikhsan Ikhwanul Kurnia Rahman Ilham Wahyudi Imam Khoeri Imantara, Alaqsha Gilang Indah Rosmalina Indra Satria Indra Satria Irbah Baihaqi Irbah Baihaqi Irfan Maulana Irfan Maulana, Irfan Istianah Istianah Istianah Jaya, Ari Surya Jaya, Rudi Tri Jodi Juliansah Joharuddin Zakaria, M Ohan Julinar Sari Hutagalung Kastum Kastum Kastum Kastum, Kastum Kemal Adnan Khairullah, Muhammad Daffa Khanif, Abror Kolbia, Ummi Kurniawan Irfan Nauval Lerry Salasi Saptan Lintang Purnama Lintang Purnama Lorinda, Destiar Lubis, Yunita T Lutfianti, Nesti M Ainur Rofik M Ainur Rofik M Ilham Setya Aji M Ohan Joharuddin Zakaria M. Ohan Zakaria Mafazi, Luthfillah Maharanisa Maharanisa Maharanisa, Maharanisa Mainia Mayasari Marjuki Marjuki Marjuki Matheos Sarimolle, Frencis Maulana Putra Hertaryawan, Ryfan Melani Afsari Miftahul Huda Miftahul Ulum Miftahul Ulum Milli Ruswandi Mirsandi Muhamad Fikri Nugraha Muhamad Ikbal Muhamad Zaeni Nadip Muhammad Abdul Aziz Abyan Muhammad Adri Ramadhan Muhammad Adri Ramadhan Muhammad Arfan Irsyad Rowis Muhammad Arfan Irsyad Rowis Muhammad Arib Umar Sadid Muhammad Azhari Muhammad Dzaky Rahmanto Muhammad Dzaky Rahmanto Muhammad Faizal Lazuardi Muhammad Faizal Lazuardi Muhammad Fakhri Pratama Muhammad Furqan Muhammad Hafiz Siregar Muhammad Jauhar Ruliansyah Muhammad Khalid Muhammad Rifqi Syatria Muhammad Rival Muhammad Rizki Muhammad Syahrul Fattah Ramadhan Muhammad Umar Hamidi Yusuf Muhammad Zaenuddin Muhammad Zikri Muhammad Zikri Muklas Adik Putra Muklas Adik Putra Mutia Aulia Mutia Ramadhan Naini Saadah Naini Sa’adah Nana NANA NANA Nana, Nana Nandy Dinilhaq Naufal Aziz Nauval, Kurniawan Irfan Nesti Lutfianti Nimas Galuh Pramuditasari Noor, Gusniar Alfian Notonegoro, Danendra Satriyohadi Noviyanti, Irma Nugroho, Kurniawan Setyo Nunung Parawati Nuradi, Fahmi Nurfaishal, Muhammad Dzaky Nurrohman, Awaludin Taufiq Oka Prasetiyo Okta Saputra Oky Tria Saputra Paramida, Feti Paryanti, Atik Budi Pramansah, Vika Vitaloka Pramuditasari, Nimas Galuh Pratama, Ferry Fajar Pratiwi, Tiyas Aria Pristian, Dheo Hanif Putra, Adhy Hantar Putra, Guruh Taruno Putra, I Komang Dewa Ananda Putra, Mohammad Royger Febriansyah Putra, Reyga Ferdiansyah Putri Amira Sumitro Putri Nugraheni Utami Putri, Atsilah Daini Putro, Faris Widianto Radikto, Radikto Raga Permana Rahmani, Husain Rahmanto, Muhammad Dzaky Raihan Putra M Rosidi Ramadan, Anggi Rasiban Reyga Ferdiansyah Putra Reza Gustrianda Reza Wanandi Richard Franido Richardviki Beay Richardviki Beay Rifky Aldiansyah Riki Maulana Fauzi Riko Afriandika Riswan, Adi Rival, Muhammad Riza Hidayat Riza Hidayat, Riza Rizky Adawiyah Rodhi Shafia Zaidan Rofik, M Ainur Roring, Calvin Bill Rowis, Muhammad Arfan Irsyad Runi Amanda Amalia Ruswandi, Milli S, Fahmi Chairulloh Widia Sadid, Muhammad Arib Umar Sadid, Muhammad Umar Arib Sahroni sahroni Sahrul Hidayat Saifullah Ahmad Yasin Samuel Figo Banase Santi Ferawati Saputra, Mochammed Erryandra Saputri, Rosalina Saragih, Silvanus Sarimole, Francis Matheus Sarimole, Frencis Matheos Sartika Mala Seli Amelia Senika, Anis Sentosa, Edwin Septiani, Novi Setiawan, Itca Bagus Setya Putra Adenugraha Shakila Shila Wati Silfia, Titi Simanungkalit, Giraldi Freddy Siregar, Ikhsan Abror Siregar, Mora Hakim Siregar, Muhammad Hafiz Siti Nurhaliza Siti Raysyah Slamet Riyadi Sodik Sofia, Agiah Soleh Ependi Sony Agustian Syah Sopan Adrianto SOPAN ADRIANTO SOPAN ADRIANTO Sri Lestari Sri Lestari SRI LESTARI Stefany Tarunajaya Stepanus, Stepanus Sugeng Sugeng Sugeng Sugeng Sugiyono Sugiyono Sumantri, Dyan Bagus Sumantri, Erno Sumarsono, Agus Sigit Sutisna Sutisna Sutisna Sutisna Sutisna Sutisna Sutisna Sutisna Suwandi Suwandi Syatria, Muhammad Rifqi Tarunajaya, Stefany Titi Silfia Tri Wahyuni Tristhanaya, Angga Tundo Tundo, Tundo Untung Wahyudi Vara Maulidyah Hidayah Veti Novitasari Vika Vitaloka Pramansah Wahyu Hidayat Wahyu Saputro Wahyu Saputro Wahyudi, Ahmad Arif Wicaksono, Bima Wieko Wieko Wulandari, Anisah Yacob, Galih Satria Yansen Yansen YkhSanur YkhSanur Yoni Maulana Yuliana Bachtiar Yuliana, Dita Yunita T Lubis Yusril Nurhadi AS Zaidan, Rodhi Shafia Zaky Rahman Hakim Zamzami, Agung Rizki Zidane, Ahmad Syahran Zoharuddin Zakaria, M Ohan